View Full Version : Nepalese DNA
Thambi
08-29-2018, 09:51 PM
Nepalese DNA results of different castes/groups
Brahmins/Bahuns(similar to NW indians with slight east asian shift)
Chettris (75% indic, 20-25% mongoloid)
Newars(50/50)
Sino-Tibetan groups(Rai, limbus, gurungs, tamang, sherpas, magars) (75-95% mongoloid, 5-25% indic)
Black cluster includes the nepalese populations, mostly newars and sino tibetans.
http://media.springernature.com/lw785/springer-static/image/art%3A10.1186%2Fs12864-016-3469-5/MediaObjects/12864_2016_3469_Fig1_HTML.gif
Indian adoptee, most likely from the himalayas and she comes out half indian and half tibetan/east asian similar to most newars.
https://www.youtube.com/watch?v=9cO8cKO706k&t=
Her gedmatch kit: A922277
Admix Results (sorted):
# Population Percent
1 NE-Asian 39.02
2 S-Indian 26.29
3 Baloch 15.27
4 Siberian 5.57
5 SE-Asian 3.66
6 NE-Euro 2.59
7 Mediterranean 1.92
8 Caucasian 1.85
9 Papuan 1.55
10 Beringian 1.44
11 American 0.53
12 San 0.23
13 E-African 0.08
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 12.69
2 nepalese-c (xing) 18.61
3 uyghur (hgdp) 26.4
4 garo (chaubey) 27.13
5 hazara (hgdp) 27.23
6 burmanese (chaubey) 27.28
7 khasi (chaubey) 30.25
8 uzbek (behar) 33.31
9 kyrgyz (hodoglugil) 34.51
10 kyrgyz (xing) 34.63
11 kazakh (harappa) 35.04
12 great-andamanese (reich) 38.37
13 mongola (hgdp) 38.43
14 bengali (harappa) 38.84
15 xibo (hgdp) 39.55
16 burusho (hgdp) 39.59
17 tu (hgdp) 39.93
18 mongolian (rasmussen) 39.96
19 nepalese-a (xing) 40.77
20 up-muslim (harappa) 41.15
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 53.5% tu (hgdp) + 46.5% up-muslim (metspalu) @ 2.21
2 53% bengali (harappa) + 47% tibet (simonson) @ 2.29
3 54% tu (hgdp) + 46% dharkar (metspalu) @ 2.31
4 54% tu (hgdp) + 46% tharu (metspalu) @ 2.34
5 52.7% tu (hgdp) + 47.3% caribbean-indian (harappa) @ 2.34
6 54.1% tu (hgdp) + 45.9% kanjar (metspalu) @ 2.39
7 54.1% tu (hgdp) + 45.9% andhra-pradesh (harappa) @ 2.58
8 52.3% tu (hgdp) + 47.7% sri-lankan (harappa) @ 2.59
9 52.8% tu (hgdp) + 47.2% up (harappa) @ 2.66
10 54.6% tu (hgdp) + 45.4% karnataka (harappa) @ 2.81
11 55% bengali (harappa) + 45% naga (metspalu) @ 2.84
12 52.6% tu (hgdp) + 47.4% kerala-muslim (harappa) @ 2.85
13 52.6% tu (hgdp) + 47.4% bihari (harappa) @ 2.85
14 54.7% tu (hgdp) + 45.3% up-scheduled-caste (metspalu) @ 2.91
15 54.5% bengali (harappa) + 45.5% nysha (reich) @ 2.96
16 51.2% japanese (hgdp) + 48.8% up-muslim (metspalu) @ 2.96
17 55.2% tu (hgdp) + 44.8% lodi (reich) @ 3.02
18 54.5% tu (hgdp) + 45.5% sinhalese (harappa) @ 3.08
19 55.6% bengali (harappa) + 44.4% aonaga (reich) @ 3.08
20 53.7% tu (hgdp) + 46.3% tamil (harappa) @ 3.09
Limbu - He didn't do gedmatch but here are his myheritage results
Asia 98.4
chinese/vietnamese - 46.9
mongolian - 35
nepali(assuming brahmin)- 16.9
https://www.youtube.com/watch?v=2IAQYWRiS8k&t=
Bahun/brahmin
1S-Indian33.54
2Baloch33.33
3NE-Euro12.43
4Caucasian11.68
5Siberian3.82
6SE-Asian2.21
7Mediterranean1.23
8NE-Asian1.18
Bahun:
1Baloch35.85
2S-Indian34.47
3NE-Euro12.12
4Caucasian8.72
5NE-Asian4.28
6Mediterranean1.79
7Beringian1.08
Chettri
1S-Indian32.92
2Baloch23.60
3NE-Asian19.62
4NE-Euro7.87
5Siberian4.93
6Caucasian3.56
7SE-Asian2.88
8SW-Asian2.18
9Beringian1.15
Another Chhetri:
1S-Indian32.94
2Baloch26.63
3NE-Asian19.45
4NE-Euro7.59
5Caucasian4.89
6Siberian2.89
7American1.50
8SE-Asian1.47
9Papuan1.13
10Beringian1.00
Newar
S Indian 25.29
Baloch 8.17
Caucasian 1.41
NE Euro 2.68
SE Asian 0.93
Siberian 5.65
NE Asian 50.20
Papuan 0.86
American 1.14
Beringian 1.30
Mediterranean 1.33
SW Asian 0.34
San 0.20
E African 0.47
Pygmy 0.03
Sino tibetan groups
From the paper: Genetic structure in the Sherpa and neighboring Nepalese populations, Cole et al., 2017
https://bmcgenomics.biomedcentral.co...864-016-3469-5
The Newar appeared as the most admixed Nepalese ethnic group, with similar proportions of Tibetan and ANI ancestry (Table 1). The Rai, Magar and Tamang showed 92%, 82% and 79% Tibetan ancestry, respectively.
Rai - 92% mongoloid, 8% indic
Magar - 82% mongoloid, 18% indic
Tamang - 79% mongoloid, 21% indic
Sherpa (K6)
Population Sherpa
East_Asian 73.5
Ancestral_South_Eurasian 12.6
Ancestral_North_Eurasian 9.3
Natufian 4.6
West_European_Hunter_Gartherer 0
Sub_Saharan 0
Tamang (MDLP k16)
Population Tamang
SouthEastAsian 50.82
Siberian 21.95
Indian 18.26
Australian 2.32
Neolithic 1.64
EastAfrican 1.09
Oceanic 0.91
Ancestor 0.84
Amerindian 0.74
NorthEastEuropean 0.63
Steppe 0.6
NorthAfrican 0.2
Arctic 0
Caucasian 0
NearEast 0
Subsaharian 0
Thambi
03-09-2019, 06:32 AM
some mongoloid nepali gedmatch results (harappa)
Gurung (M953347)
Admix Results (sorted):
# Population Percent
1 NE-Asian 61.57
2 S-Indian 14.21
3 Siberian 9.47
4 SE-Asian 5.33
5 Baloch 4.45
6 Papuan 2.47
7 Beringian 1.03
8 Caucasian 0.78
9 American 0.68
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 14.79
2 nepalese-b (xing) 16.4
3 naxi (hgdp) 17.23
4 xibo (hgdp) 17.4
5 yi (hgdp) 18.37
6 tibet (simonson) 18.51
7 japanese (hgdp) 18.55
8 mongola (hgdp) 18.65
9 nysha (reich) 21.47
10 han-nchina (hgdp) 21.5
11 naga (metspalu) 22.06
12 aonaga (reich) 23.37
13 chinese-beijing (1000genomes) 23.84
14 chinese-beijing (hapmap) 23.97
15 hezhen (hgdp) 25.03
16 daur (hgdp) 26.02
17 garo (chaubey) 26.59
18 burmanese (chaubey) 28.5
19 tujia (hgdp) 28.77
20 chinese-american (hapmap) 29.26
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 53.1% nepalese-b (xing) + 46.9% japanese (hgdp) @ 2.75
2 84.7% tu (hgdp) + 15.3% mala (reich) @ 3.24
3 84.7% tu (hgdp) + 15.3% tn-dalit (xing) @ 3.25
4 84.4% tu (hgdp) + 15.6% kurumba (reich) @ 3.29
5 84.7% tu (hgdp) + 15.3% ap-mala (xing) @ 3.35
6 84.4% tu (hgdp) + 15.6% hakkipikki (metspalu) @ 3.37
7 84.3% tu (hgdp) + 15.7% ap-madiga (xing) @ 3.38
8 84.5% tu (hgdp) + 15.5% madiga (reich) @ 3.38
9 84.2% tu (hgdp) + 15.8% tamil-vishwakarma (harappa) @ 3.38
10 84.4% tu (hgdp) + 15.6% north-kannadi (chaubey) @ 3.4
11 84.4% tu (hgdp) + 15.6% sakilli (chaubey) @ 3.5
12 84.3% tu (hgdp) + 15.7% bhil (reich) @ 3.54
13 84.2% tu (hgdp) + 15.8% kamsali (reich) @ 3.57
14 84.3% tu (hgdp) + 15.7% chamar (metspalu) @ 3.6
15 83.6% tu (hgdp) + 16.4% chenchu (metspalu) @ 3.62
16 52.8% tu (hgdp) + 47.2% nepalese-b (xing) @ 3.75
17 84.6% tu (hgdp) + 15.4% nihali (metspalu) @ 3.91
18 84.5% tu (hgdp) + 15.5% vysya (reich) @ 3.92
19 76.6% tibet (simonson) + 23.4% great-andamanese (reich) @ 3.94
20 84.2% tu (hgdp) + 15.8% piramalai-kallar (metspalu) @ 3.94
Gurung (XB8642061)
Admix Results (sorted):
# Population Percent
1 NE-Asian 64.47
2 S-Indian 14.7
3 Siberian 10.77
4 SE-Asian 3.74
5 Baloch 2.61
6 Papuan 1.32
7 Beringian 0.75
8 American 0.69
9 Mediterranean 0.68
10 E-African 0.21
11 San 0.07
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 13.49
2 tibet (simonson) 15.6
3 xibo (hgdp) 16.38
4 naxi (hgdp) 16.71
5 japanese (hgdp) 17.27
6 yi (hgdp) 18.07
7 mongola (hgdp) 18.15
8 nepalese-b (xing) 18.36
9 nysha (reich) 18.65
10 naga (metspalu) 19.56
11 han-nchina (hgdp) 20.42
12 aonaga (reich) 20.77
13 chinese-beijing (1000genomes) 23.53
14 chinese-beijing (hapmap) 23.65
15 hezhen (hgdp) 24.22
16 daur (hgdp) 25.21
17 garo (chaubey) 29.25
18 tujia (hgdp) 29.82
19 chinese-american (hapmap) 30.32
20 burmanese (chaubey) 31.48
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 83.3% tibet (simonson) + 16.7% sahariya (reich) @ 2.07
2 80.1% tibet (simonson) + 19.9% great-andamanese (reich) @ 2.61
3 84.1% tibet (simonson) + 15.9% asur (chaubey) @ 2.8
4 83.5% tibet (simonson) + 16.5% gond (metspalu) @ 2.83
5 84.1% tibet (simonson) + 15.9% ho (chaubey) @ 2.92
6 84% tibet (simonson) + 16% kharia (chaubey) @ 2.94
7 84% tibet (simonson) + 16% savara (chaubey) @ 2.96
8 84.1% tibet (simonson) + 15.9% santhal (reich) @ 2.99
9 83.9% tibet (simonson) + 16.1% juang (chaubey) @ 3.02
10 83.9% tibet (simonson) + 16.1% bonda (chaubey) @ 3.05
11 83.3% tibet (simonson) + 16.7% satnami (reich) @ 3.07
12 84% tibet (simonson) + 16% nihali (metspalu) @ 3.1
13 83.1% tibet (simonson) + 16.9% tharu (reich) @ 3.44
14 80.8% tibet (simonson) + 19.2% onge (reich) @ 3.49
15 83.7% tibet (simonson) + 16.3% chenchu (reich) @ 3.72
16 81.7% tibet (simonson) + 18.3% bengali (harappa) @ 3.87
17 84.4% tibet (simonson) + 15.6% ap-mala (xing) @ 3.91
18 84.1% tibet (simonson) + 15.9% kurumba (reich) @ 3.98
19 84% tibet (simonson) + 16% bhil (reich) @ 4.02
20 84.5% tibet (simonson) + 15.5% mala (reich) @ 4.06
Lama (WX4535947)
Admix Results (sorted):
# Population Percent
1 NE-Asian 61.95
2 S-Indian 14.26
3 Siberian 10.23
4 SE-Asian 6.83
5 Baloch 2.98
6 American 1.79
7 Papuan 1.04
8 E-African 0.64
9 Beringian 0.27
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 14.26
2 naxi (hgdp) 16.15
3 xibo (hgdp) 16.67
4 yi (hgdp) 17.28
5 nepalese-b (xing) 17.48
6 japanese (hgdp) 17.63
7 mongola (hgdp) 17.88
8 tibet (simonson) 18.4
9 han-nchina (hgdp) 20.75
10 nysha (reich) 21.39
11 naga (metspalu) 21.84
12 chinese-beijing (1000genomes) 22.86
13 chinese-beijing (hapmap) 22.97
14 aonaga (reich) 23.21
15 hezhen (hgdp) 24.41
16 daur (hgdp) 25.43
17 garo (chaubey) 25.67
18 tujia (hgdp) 27.55
19 burmanese (chaubey) 27.74
20 chinese-american (hapmap) 28.04
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 71.2% tibet (simonson) + 28.8% khasi (chaubey) @ 3.22
2 50.2% nepalese-b (xing) + 49.8% japanese (hgdp) @ 3.22
3 82.3% japanese (hgdp) + 17.7% tn-dalit (xing) @ 3.34
4 85% tu (hgdp) + 15% nihali (metspalu) @ 3.39
5 82.4% japanese (hgdp) + 17.6% mala (reich) @ 3.42
6 82% japanese (hgdp) + 18% north-kannadi (chaubey) @ 3.46
7 82% japanese (hgdp) + 18% kurumba (reich) @ 3.52
8 82% japanese (hgdp) + 18% hakkipikki (metspalu) @ 3.54
9 85.4% tu (hgdp) + 14.6% mala (reich) @ 3.54
10 85.3% tu (hgdp) + 14.7% ap-mala (xing) @ 3.59
11 82.3% japanese (hgdp) + 17.7% ap-mala (xing) @ 3.6
12 86% tu (hgdp) + 14% paniya (chaubey) @ 3.61
13 81.8% japanese (hgdp) + 18.2% tamil-vishwakarma (harappa) @ 3.62
14 81.9% japanese (hgdp) + 18.1% ap-madiga (xing) @ 3.63
15 82.1% japanese (hgdp) + 17.9% madiga (reich) @ 3.66
16 85.4% tu (hgdp) + 14.6% tn-dalit (xing) @ 3.67
17 85.1% tu (hgdp) + 14.9% kurumba (reich) @ 3.7
18 81.9% japanese (hgdp) + 18.1% bhil (reich) @ 3.76
19 81.8% japanese (hgdp) + 18.2% chamar (metspalu) @ 3.78
20 81.6% japanese (hgdp) + 18.4% chenchu (reich) @ 3.81
Yangchen/Sherpa (A535293)
Admix Results (sorted):
# Population Percent
1 NE-Asian 69.18
2 Siberian 11.87
3 S-Indian 9.87
4 SE-Asian 3.42
5 American 1.62
6 Papuan 1.5
7 Baloch 0.8
8 Caucasian 0.57
9 NE-Euro 0.57
10 Beringian 0.43
11 SW-Asian 0.1
12 San 0.04
13 E-African 0.04
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 8.32
2 tibet (simonson) 9.7
3 japanese (hgdp) 12.19
4 xibo (hgdp) 12.85
5 nysha (reich) 13.32
6 naxi (hgdp) 13.41
7 naga (metspalu) 14.09
8 yi (hgdp) 15.02
9 aonaga (reich) 15.4
10 han-nchina (hgdp) 15.72
11 mongola (hgdp) 15.89
12 chinese-beijing (1000genomes) 20.05
13 chinese-beijing (hapmap) 20.21
14 hezhen (hgdp) 22.53
15 daur (hgdp) 23.58
16 nepalese-b (xing) 24.61
17 japanese (xing) 27.59
18 tujia (hgdp) 28.5
19 chinese-american (hapmap) 29.04
20 japanese (1000genomes) 31.49
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 84.9% tibet (simonson) + 15.1% khasi (chaubey) @ 2.07
2 87.9% tibet (simonson) + 12.1% great-andamanese (reich) @ 2.59
3 90.2% tibet (simonson) + 9.8% juang (chaubey) @ 2.66
4 90.2% tibet (simonson) + 9.8% bonda (chaubey) @ 2.67
5 88.3% tibet (simonson) + 11.7% onge (reich) @ 2.91
6 90.4% tibet (simonson) + 9.6% kharia (chaubey) @ 3
7 90.4% tibet (simonson) + 9.6% savara (chaubey) @ 3.08
8 90.5% tibet (simonson) + 9.5% ho (chaubey) @ 3.16
9 90.1% tibet (simonson) + 9.9% sahariya (reich) @ 3.2
10 78.6% tibet (simonson) + 21.4% garo (chaubey) @ 3.44
11 79.6% tibet (simonson) + 20.4% burmanese (chaubey) @ 3.52
12 90.6% tibet (simonson) + 9.4% asur (chaubey) @ 3.55
13 90.7% tibet (simonson) + 9.3% santhal (reich) @ 3.57
14 90.4% tibet (simonson) + 9.6% gond (metspalu) @ 3.78
15 90.7% tibet (simonson) + 9.3% nihali (metspalu) @ 3.86
16 90.3% tibet (simonson) + 9.7% satnami (reich) @ 3.9
17 89.2% tibet (simonson) + 10.8% bengali (harappa) @ 3.91
18 90.1% tibet (simonson) + 9.9% tharu (reich) @ 3.93
19 90.6% tibet (simonson) + 9.4% chenchu (reich) @ 4.18
20 90% tibet (simonson) + 10% sri-lankan (harappa) @ 4.31
Subba (T029409)
Admix Results (sorted):
# Population Percent
1 NE-Asian 68.67
2 S-Indian 11.41
3 Siberian 10.35
4 SE-Asian 5.33
5 Papuan 1.76
6 American 0.9
7 Baloch 0.74
8 Caucasian 0.36
9 SW-Asian 0.21
10 Beringian 0.2
11 Mediterranean 0.07
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 8.83
2 tibet (simonson) 11.41
3 naxi (hgdp) 12.24
4 japanese (hgdp) 12.38
5 yi (hgdp) 13.75
6 nysha (reich) 14.32
7 xibo (hgdp) 14.44
8 naga (metspalu) 14.76
9 han-nchina (hgdp) 15.41
10 aonaga (reich) 16.17
11 mongola (hgdp) 17.25
12 chinese-beijing (1000genomes) 19.06
13 chinese-beijing (hapmap) 19.2
14 nepalese-b (xing) 23.51
15 hezhen (hgdp) 24.14
16 daur (hgdp) 25.24
17 tujia (hgdp) 26.87
18 chinese-american (hapmap) 27.39
19 japanese (xing) 28.14
20 han (hgdp) 29.92
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 82% tibet (simonson) + 18% khasi (chaubey) @ 1.66
2 88.2% tibet (simonson) + 11.8% bonda (chaubey) @ 2.21
3 88.2% tibet (simonson) + 11.8% juang (chaubey) @ 2.23
4 73.8% tibet (simonson) + 26.2% garo (chaubey) @ 2.56
5 88.5% tibet (simonson) + 11.5% kharia (chaubey) @ 2.9
6 78.6% nysha (reich) + 21.4% khasi (chaubey) @ 2.91
7 86.2% tibet (simonson) + 13.8% onge (reich) @ 3.07
8 75.3% tibet (simonson) + 24.7% burmanese (chaubey) @ 3.12
9 88.6% tibet (simonson) + 11.4% savara (chaubey) @ 3.14
10 88.6% tibet (simonson) + 11.4% ho (chaubey) @ 3.22
11 85.9% tibet (simonson) + 14.1% great-andamanese (reich) @ 3.24
12 82.3% naga (metspalu) + 17.7% great-andamanese (reich) @ 3.65
13 88.3% tibet (simonson) + 11.7% sahariya (reich) @ 3.77
14 88.9% tibet (simonson) + 11.1% santhal (reich) @ 3.91
15 88.9% tibet (simonson) + 11.1% asur (chaubey) @ 3.93
16 92.1% tu (hgdp) + 7.9% paniya (chaubey) @ 4.14
17 82.9% nysha (reich) + 17.1% great-andamanese (reich) @ 4.15
18 69.4% nysha (reich) + 30.6% garo (chaubey) @ 4.22
19 81% aonaga (reich) + 19% great-andamanese (reich) @ 4.36
20 70.9% nysha (reich) + 29.1% burmanese (chaubey) @ 4.36
Limbu (FS7632723)
Admix Results (sorted):
# Population Percent
1 NE-Asian 69.82
2 Siberian 9.09
3 S-Indian 7.83
4 SE-Asian 5.57
5 Papuan 1.92
6 American 1.69
7 Baloch 1.21
8 San 0.86
9 W-African 0.85
10 Mediterranean 0.67
11 SW-Asian 0.35
12 Beringian 0.14
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 6.09
2 japanese (hgdp) 9.95
3 tibet (simonson) 10.09
4 naxi (hgdp) 10.33
5 yi (hgdp) 11.81
6 han-nchina (hgdp) 12.67
7 naga (metspalu) 12.86
8 nysha (reich) 12.93
9 xibo (hgdp) 13.95
10 aonaga (reich) 14.39
11 chinese-beijing (1000genomes) 16.67
12 chinese-beijing (hapmap) 16.85
13 mongola (hgdp) 17.12
14 hezhen (hgdp) 24.58
15 tujia (hgdp) 25.37
16 daur (hgdp) 25.73
17 chinese-american (hapmap) 25.88
18 nepalese-b (xing) 25.92
19 japanese (xing) 26.07
20 han (hgdp) 28.61
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 78.1% tibet (simonson) + 21.9% burmanese (chaubey) @ 2.67
2 77.3% tibet (simonson) + 22.7% garo (chaubey) @ 3.06
3 88.9% tibet (simonson) + 11.1% thai (xing) @ 3.24
4 84.8% tibet (simonson) + 15.2% khasi (chaubey) @ 3.37
5 88.7% tibet (simonson) + 11.3% khmer-cambodian (xing) @ 3.52
6 90.3% tibet (simonson) + 9.7% singapore-malay (sgvp) @ 3.62
7 90% tibet (simonson) + 10% cambodian (hgdp) @ 3.69
8 73.6% nysha (reich) + 26.4% burmanese (chaubey) @ 3.77
9 95.2% tu (hgdp) + 4.8% paniya (chaubey) @ 3.81
10 84.6% tu (hgdp) + 15.4% nepalese-b (xing) @ 3.93
11 95.3% tu (hgdp) + 4.7% pulliyar (metspalu) @ 3.96
12 95.2% tu (hgdp) + 4.8% mala (reich) @ 4.07
13 95.2% tu (hgdp) + 4.8% tn-dalit (xing) @ 4.08
14 95.5% tu (hgdp) + 4.5% irula (xing) @ 4.08
15 95.2% tu (hgdp) + 4.8% ap-mala (xing) @ 4.09
16 95.1% tu (hgdp) + 4.9% kurumba (reich) @ 4.1
17 95.2% tu (hgdp) + 4.8% nihali (metspalu) @ 4.12
18 81.3% nysha (reich) + 18.7% khasi (chaubey) @ 4.13
19 95.2% tu (hgdp) + 4.8% hakkipikki (metspalu) @ 4.14
20 95.2% tu (hgdp) + 4.8% madiga (reich) @ 4.14
Interesting. Those Nepalis are very mongoloid, up to 80+ percent.
NPKTO
06-15-2019, 08:42 PM
some mongoloid nepali gedmatch results (harappa)
Gurung (M953347)
Admix Results (sorted):
# Population Percent
1 NE-Asian 61.57
2 S-Indian 14.21
3 Siberian 9.47
4 SE-Asian 5.33
5 Baloch 4.45
6 Papuan 2.47
7 Beringian 1.03
8 Caucasian 0.78
9 American 0.68
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 14.79
2 nepalese-b (xing) 16.4
3 naxi (hgdp) 17.23
4 xibo (hgdp) 17.4
5 yi (hgdp) 18.37
6 tibet (simonson) 18.51
7 japanese (hgdp) 18.55
8 mongola (hgdp) 18.65
9 nysha (reich) 21.47
10 han-nchina (hgdp) 21.5
11 naga (metspalu) 22.06
12 aonaga (reich) 23.37
13 chinese-beijing (1000genomes) 23.84
14 chinese-beijing (hapmap) 23.97
15 hezhen (hgdp) 25.03
16 daur (hgdp) 26.02
17 garo (chaubey) 26.59
18 burmanese (chaubey) 28.5
19 tujia (hgdp) 28.77
20 chinese-american (hapmap) 29.26
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 53.1% nepalese-b (xing) + 46.9% japanese (hgdp) @ 2.75
2 84.7% tu (hgdp) + 15.3% mala (reich) @ 3.24
3 84.7% tu (hgdp) + 15.3% tn-dalit (xing) @ 3.25
4 84.4% tu (hgdp) + 15.6% kurumba (reich) @ 3.29
5 84.7% tu (hgdp) + 15.3% ap-mala (xing) @ 3.35
6 84.4% tu (hgdp) + 15.6% hakkipikki (metspalu) @ 3.37
7 84.3% tu (hgdp) + 15.7% ap-madiga (xing) @ 3.38
8 84.5% tu (hgdp) + 15.5% madiga (reich) @ 3.38
9 84.2% tu (hgdp) + 15.8% tamil-vishwakarma (harappa) @ 3.38
10 84.4% tu (hgdp) + 15.6% north-kannadi (chaubey) @ 3.4
11 84.4% tu (hgdp) + 15.6% sakilli (chaubey) @ 3.5
12 84.3% tu (hgdp) + 15.7% bhil (reich) @ 3.54
13 84.2% tu (hgdp) + 15.8% kamsali (reich) @ 3.57
14 84.3% tu (hgdp) + 15.7% chamar (metspalu) @ 3.6
15 83.6% tu (hgdp) + 16.4% chenchu (metspalu) @ 3.62
16 52.8% tu (hgdp) + 47.2% nepalese-b (xing) @ 3.75
17 84.6% tu (hgdp) + 15.4% nihali (metspalu) @ 3.91
18 84.5% tu (hgdp) + 15.5% vysya (reich) @ 3.92
19 76.6% tibet (simonson) + 23.4% great-andamanese (reich) @ 3.94
20 84.2% tu (hgdp) + 15.8% piramalai-kallar (metspalu) @ 3.94
Gurung (XB8642061)
Admix Results (sorted):
# Population Percent
1 NE-Asian 64.47
2 S-Indian 14.7
3 Siberian 10.77
4 SE-Asian 3.74
5 Baloch 2.61
6 Papuan 1.32
7 Beringian 0.75
8 American 0.69
9 Mediterranean 0.68
10 E-African 0.21
11 San 0.07
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 13.49
2 tibet (simonson) 15.6
3 xibo (hgdp) 16.38
4 naxi (hgdp) 16.71
5 japanese (hgdp) 17.27
6 yi (hgdp) 18.07
7 mongola (hgdp) 18.15
8 nepalese-b (xing) 18.36
9 nysha (reich) 18.65
10 naga (metspalu) 19.56
11 han-nchina (hgdp) 20.42
12 aonaga (reich) 20.77
13 chinese-beijing (1000genomes) 23.53
14 chinese-beijing (hapmap) 23.65
15 hezhen (hgdp) 24.22
16 daur (hgdp) 25.21
17 garo (chaubey) 29.25
18 tujia (hgdp) 29.82
19 chinese-american (hapmap) 30.32
20 burmanese (chaubey) 31.48
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 83.3% tibet (simonson) + 16.7% sahariya (reich) @ 2.07
2 80.1% tibet (simonson) + 19.9% great-andamanese (reich) @ 2.61
3 84.1% tibet (simonson) + 15.9% asur (chaubey) @ 2.8
4 83.5% tibet (simonson) + 16.5% gond (metspalu) @ 2.83
5 84.1% tibet (simonson) + 15.9% ho (chaubey) @ 2.92
6 84% tibet (simonson) + 16% kharia (chaubey) @ 2.94
7 84% tibet (simonson) + 16% savara (chaubey) @ 2.96
8 84.1% tibet (simonson) + 15.9% santhal (reich) @ 2.99
9 83.9% tibet (simonson) + 16.1% juang (chaubey) @ 3.02
10 83.9% tibet (simonson) + 16.1% bonda (chaubey) @ 3.05
11 83.3% tibet (simonson) + 16.7% satnami (reich) @ 3.07
12 84% tibet (simonson) + 16% nihali (metspalu) @ 3.1
13 83.1% tibet (simonson) + 16.9% tharu (reich) @ 3.44
14 80.8% tibet (simonson) + 19.2% onge (reich) @ 3.49
15 83.7% tibet (simonson) + 16.3% chenchu (reich) @ 3.72
16 81.7% tibet (simonson) + 18.3% bengali (harappa) @ 3.87
17 84.4% tibet (simonson) + 15.6% ap-mala (xing) @ 3.91
18 84.1% tibet (simonson) + 15.9% kurumba (reich) @ 3.98
19 84% tibet (simonson) + 16% bhil (reich) @ 4.02
20 84.5% tibet (simonson) + 15.5% mala (reich) @ 4.06
Lama (WX4535947)
Admix Results (sorted):
# Population Percent
1 NE-Asian 61.95
2 S-Indian 14.26
3 Siberian 10.23
4 SE-Asian 6.83
5 Baloch 2.98
6 American 1.79
7 Papuan 1.04
8 E-African 0.64
9 Beringian 0.27
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 14.26
2 naxi (hgdp) 16.15
3 xibo (hgdp) 16.67
4 yi (hgdp) 17.28
5 nepalese-b (xing) 17.48
6 japanese (hgdp) 17.63
7 mongola (hgdp) 17.88
8 tibet (simonson) 18.4
9 han-nchina (hgdp) 20.75
10 nysha (reich) 21.39
11 naga (metspalu) 21.84
12 chinese-beijing (1000genomes) 22.86
13 chinese-beijing (hapmap) 22.97
14 aonaga (reich) 23.21
15 hezhen (hgdp) 24.41
16 daur (hgdp) 25.43
17 garo (chaubey) 25.67
18 tujia (hgdp) 27.55
19 burmanese (chaubey) 27.74
20 chinese-american (hapmap) 28.04
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 71.2% tibet (simonson) + 28.8% khasi (chaubey) @ 3.22
2 50.2% nepalese-b (xing) + 49.8% japanese (hgdp) @ 3.22
3 82.3% japanese (hgdp) + 17.7% tn-dalit (xing) @ 3.34
4 85% tu (hgdp) + 15% nihali (metspalu) @ 3.39
5 82.4% japanese (hgdp) + 17.6% mala (reich) @ 3.42
6 82% japanese (hgdp) + 18% north-kannadi (chaubey) @ 3.46
7 82% japanese (hgdp) + 18% kurumba (reich) @ 3.52
8 82% japanese (hgdp) + 18% hakkipikki (metspalu) @ 3.54
9 85.4% tu (hgdp) + 14.6% mala (reich) @ 3.54
10 85.3% tu (hgdp) + 14.7% ap-mala (xing) @ 3.59
11 82.3% japanese (hgdp) + 17.7% ap-mala (xing) @ 3.6
12 86% tu (hgdp) + 14% paniya (chaubey) @ 3.61
13 81.8% japanese (hgdp) + 18.2% tamil-vishwakarma (harappa) @ 3.62
14 81.9% japanese (hgdp) + 18.1% ap-madiga (xing) @ 3.63
15 82.1% japanese (hgdp) + 17.9% madiga (reich) @ 3.66
16 85.4% tu (hgdp) + 14.6% tn-dalit (xing) @ 3.67
17 85.1% tu (hgdp) + 14.9% kurumba (reich) @ 3.7
18 81.9% japanese (hgdp) + 18.1% bhil (reich) @ 3.76
19 81.8% japanese (hgdp) + 18.2% chamar (metspalu) @ 3.78
20 81.6% japanese (hgdp) + 18.4% chenchu (reich) @ 3.81
Yangchen/Sherpa (A535293)
Admix Results (sorted):
# Population Percent
1 NE-Asian 69.18
2 Siberian 11.87
3 S-Indian 9.87
4 SE-Asian 3.42
5 American 1.62
6 Papuan 1.5
7 Baloch 0.8
8 Caucasian 0.57
9 NE-Euro 0.57
10 Beringian 0.43
11 SW-Asian 0.1
12 San 0.04
13 E-African 0.04
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 8.32
2 tibet (simonson) 9.7
3 japanese (hgdp) 12.19
4 xibo (hgdp) 12.85
5 nysha (reich) 13.32
6 naxi (hgdp) 13.41
7 naga (metspalu) 14.09
8 yi (hgdp) 15.02
9 aonaga (reich) 15.4
10 han-nchina (hgdp) 15.72
11 mongola (hgdp) 15.89
12 chinese-beijing (1000genomes) 20.05
13 chinese-beijing (hapmap) 20.21
14 hezhen (hgdp) 22.53
15 daur (hgdp) 23.58
16 nepalese-b (xing) 24.61
17 japanese (xing) 27.59
18 tujia (hgdp) 28.5
19 chinese-american (hapmap) 29.04
20 japanese (1000genomes) 31.49
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 84.9% tibet (simonson) + 15.1% khasi (chaubey) @ 2.07
2 87.9% tibet (simonson) + 12.1% great-andamanese (reich) @ 2.59
3 90.2% tibet (simonson) + 9.8% juang (chaubey) @ 2.66
4 90.2% tibet (simonson) + 9.8% bonda (chaubey) @ 2.67
5 88.3% tibet (simonson) + 11.7% onge (reich) @ 2.91
6 90.4% tibet (simonson) + 9.6% kharia (chaubey) @ 3
7 90.4% tibet (simonson) + 9.6% savara (chaubey) @ 3.08
8 90.5% tibet (simonson) + 9.5% ho (chaubey) @ 3.16
9 90.1% tibet (simonson) + 9.9% sahariya (reich) @ 3.2
10 78.6% tibet (simonson) + 21.4% garo (chaubey) @ 3.44
11 79.6% tibet (simonson) + 20.4% burmanese (chaubey) @ 3.52
12 90.6% tibet (simonson) + 9.4% asur (chaubey) @ 3.55
13 90.7% tibet (simonson) + 9.3% santhal (reich) @ 3.57
14 90.4% tibet (simonson) + 9.6% gond (metspalu) @ 3.78
15 90.7% tibet (simonson) + 9.3% nihali (metspalu) @ 3.86
16 90.3% tibet (simonson) + 9.7% satnami (reich) @ 3.9
17 89.2% tibet (simonson) + 10.8% bengali (harappa) @ 3.91
18 90.1% tibet (simonson) + 9.9% tharu (reich) @ 3.93
19 90.6% tibet (simonson) + 9.4% chenchu (reich) @ 4.18
20 90% tibet (simonson) + 10% sri-lankan (harappa) @ 4.31
Subba (T029409)
Admix Results (sorted):
# Population Percent
1 NE-Asian 68.67
2 S-Indian 11.41
3 Siberian 10.35
4 SE-Asian 5.33
5 Papuan 1.76
6 American 0.9
7 Baloch 0.74
8 Caucasian 0.36
9 SW-Asian 0.21
10 Beringian 0.2
11 Mediterranean 0.07
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 8.83
2 tibet (simonson) 11.41
3 naxi (hgdp) 12.24
4 japanese (hgdp) 12.38
5 yi (hgdp) 13.75
6 nysha (reich) 14.32
7 xibo (hgdp) 14.44
8 naga (metspalu) 14.76
9 han-nchina (hgdp) 15.41
10 aonaga (reich) 16.17
11 mongola (hgdp) 17.25
12 chinese-beijing (1000genomes) 19.06
13 chinese-beijing (hapmap) 19.2
14 nepalese-b (xing) 23.51
15 hezhen (hgdp) 24.14
16 daur (hgdp) 25.24
17 tujia (hgdp) 26.87
18 chinese-american (hapmap) 27.39
19 japanese (xing) 28.14
20 han (hgdp) 29.92
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 82% tibet (simonson) + 18% khasi (chaubey) @ 1.66
2 88.2% tibet (simonson) + 11.8% bonda (chaubey) @ 2.21
3 88.2% tibet (simonson) + 11.8% juang (chaubey) @ 2.23
4 73.8% tibet (simonson) + 26.2% garo (chaubey) @ 2.56
5 88.5% tibet (simonson) + 11.5% kharia (chaubey) @ 2.9
6 78.6% nysha (reich) + 21.4% khasi (chaubey) @ 2.91
7 86.2% tibet (simonson) + 13.8% onge (reich) @ 3.07
8 75.3% tibet (simonson) + 24.7% burmanese (chaubey) @ 3.12
9 88.6% tibet (simonson) + 11.4% savara (chaubey) @ 3.14
10 88.6% tibet (simonson) + 11.4% ho (chaubey) @ 3.22
11 85.9% tibet (simonson) + 14.1% great-andamanese (reich) @ 3.24
12 82.3% naga (metspalu) + 17.7% great-andamanese (reich) @ 3.65
13 88.3% tibet (simonson) + 11.7% sahariya (reich) @ 3.77
14 88.9% tibet (simonson) + 11.1% santhal (reich) @ 3.91
15 88.9% tibet (simonson) + 11.1% asur (chaubey) @ 3.93
16 92.1% tu (hgdp) + 7.9% paniya (chaubey) @ 4.14
17 82.9% nysha (reich) + 17.1% great-andamanese (reich) @ 4.15
18 69.4% nysha (reich) + 30.6% garo (chaubey) @ 4.22
19 81% aonaga (reich) + 19% great-andamanese (reich) @ 4.36
20 70.9% nysha (reich) + 29.1% burmanese (chaubey) @ 4.36
Limbu (FS7632723)
Admix Results (sorted):
# Population Percent
1 NE-Asian 69.82
2 Siberian 9.09
3 S-Indian 7.83
4 SE-Asian 5.57
5 Papuan 1.92
6 American 1.69
7 Baloch 1.21
8 San 0.86
9 W-African 0.85
10 Mediterranean 0.67
11 SW-Asian 0.35
12 Beringian 0.14
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 6.09
2 japanese (hgdp) 9.95
3 tibet (simonson) 10.09
4 naxi (hgdp) 10.33
5 yi (hgdp) 11.81
6 han-nchina (hgdp) 12.67
7 naga (metspalu) 12.86
8 nysha (reich) 12.93
9 xibo (hgdp) 13.95
10 aonaga (reich) 14.39
11 chinese-beijing (1000genomes) 16.67
12 chinese-beijing (hapmap) 16.85
13 mongola (hgdp) 17.12
14 hezhen (hgdp) 24.58
15 tujia (hgdp) 25.37
16 daur (hgdp) 25.73
17 chinese-american (hapmap) 25.88
18 nepalese-b (xing) 25.92
19 japanese (xing) 26.07
20 han (hgdp) 28.61
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 78.1% tibet (simonson) + 21.9% burmanese (chaubey) @ 2.67
2 77.3% tibet (simonson) + 22.7% garo (chaubey) @ 3.06
3 88.9% tibet (simonson) + 11.1% thai (xing) @ 3.24
4 84.8% tibet (simonson) + 15.2% khasi (chaubey) @ 3.37
5 88.7% tibet (simonson) + 11.3% khmer-cambodian (xing) @ 3.52
6 90.3% tibet (simonson) + 9.7% singapore-malay (sgvp) @ 3.62
7 90% tibet (simonson) + 10% cambodian (hgdp) @ 3.69
8 73.6% nysha (reich) + 26.4% burmanese (chaubey) @ 3.77
9 95.2% tu (hgdp) + 4.8% paniya (chaubey) @ 3.81
10 84.6% tu (hgdp) + 15.4% nepalese-b (xing) @ 3.93
11 95.3% tu (hgdp) + 4.7% pulliyar (metspalu) @ 3.96
12 95.2% tu (hgdp) + 4.8% mala (reich) @ 4.07
13 95.2% tu (hgdp) + 4.8% tn-dalit (xing) @ 4.08
14 95.5% tu (hgdp) + 4.5% irula (xing) @ 4.08
15 95.2% tu (hgdp) + 4.8% ap-mala (xing) @ 4.09
16 95.1% tu (hgdp) + 4.9% kurumba (reich) @ 4.1
17 95.2% tu (hgdp) + 4.8% nihali (metspalu) @ 4.12
18 81.3% nysha (reich) + 18.7% khasi (chaubey) @ 4.13
19 95.2% tu (hgdp) + 4.8% hakkipikki (metspalu) @ 4.14
20 95.2% tu (hgdp) + 4.8% madiga (reich) @ 4.14
Interesting Gurungs have noticeable amounts of Baloch admixture compared to Limbus with similar S Indian admixture.
Thambi
06-15-2019, 08:54 PM
Interesting Gurungs have noticeable amounts of Baloch admixture compared to Limbus with similar S Indian admixture.
limbus get only 8% though while gurungs get 14-15% south indian. Baloch seems to be legit among gurungs and tamangs, while its more ASI laos/ laobinhan related i think among limbus, sherpas, etc.
Thambi
08-22-2020, 08:27 PM
Nepalese mongoloids - Rais
Kit DN8510520
# Population Percent
1 NE-Asian 72.96
2 S-Indian 10.5
3 Siberian 10.3
4 SE-Asian 3.36
5 American 1.33
6 W-African 0.64
7 Papuan 0.6
8 Baloch 0.3
Single Population Sharing:
# Population (source) Distance
1 tibet (simonson) 7.39
2 tu (hgdp) 8.21
3 nysha (reich) 10
4 naga (metspalu) 10.79
5 japanese (hgdp) 11.62
6 aonaga (reich) 11.98
7 naxi (hgdp) 12.8
8 han-nchina (hgdp) 14
9 yi (hgdp) 14.38
10 xibo (hgdp) 15.49
11 chinese-beijing (1000genomes) 18.84
12 mongola (hgdp) 18.93
13 chinese-beijing (hapmap) 18.97
14 japanese (xing) 24.05
15 hezhen (hgdp) 25.47
16 daur (hgdp) 26.55
17 nepalese-b (xing) 26.9
18 japanese (1000genomes) 27.97
19 japanese (hapmap) 28.1
20 tujia (hgdp) 28.49
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 92.6% tibet (simonson) + 7.4% bonda (chaubey) @ 2.26
2 92.6% tibet (simonson) + 7.4% juang (chaubey) @ 2.31
3 92.7% tibet (simonson) + 7.3% kharia (chaubey) @ 2.43
4 92.8% tibet (simonson) + 7.2% savara (chaubey) @ 2.56
5 92.8% tibet (simonson) + 7.2% ho (chaubey) @ 2.56
6 89.1% tibet (simonson) + 10.9% khasi (chaubey) @ 2.77
7 92.9% tibet (simonson) + 7.1% santhal (reich) @ 2.84
8 93% tibet (simonson) + 7% asur (chaubey) @ 2.87
9 84% tibet (simonson) + 16% garo (chaubey) @ 2.89
10 92.7% tibet (simonson) + 7.3% sahariya (reich) @ 2.98
11 85.4% nysha (reich) + 14.6% khasi (chaubey) @ 3.01
12 91.6% tibet (simonson) + 8.4% onge (reich) @ 3.11
13 91.4% tibet (simonson) + 8.6% great-andamanese (reich) @ 3.25
14 93.1% tibet (simonson) + 6.9% nihali (metspalu) @ 3.28
15 85.2% tibet (simonson) + 14.8% burmanese (chaubey) @ 3.33
16 90.4% nysha (reich) + 9.6% bonda (chaubey) @ 3.38
17 90.3% nysha (reich) + 9.7% juang (chaubey) @ 3.38
18 93% tibet (simonson) + 7% gond (metspalu) @ 3.4
19 88.3% nysha (reich) + 11.7% great-andamanese (reich) @ 3.52
20 92.9% tibet (simonson) + 7.1% satnami (reich) @ 3.52
Kit AF4263490
# Population Percent
1 NE-Asian 73.05
2 Siberian 10.06
3 S-Indian 7.45
4 SE-Asian 4.99
5 Papuan 2.49
6 Baloch 0.61
7 Caucasian 0.53
8 W-African 0.32
9 American 0.3
10 Pygmy 0.2
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 5.6
2 tibet (simonson) 7.18
3 japanese (hgdp) 8.83
4 naga (metspalu) 9.83
5 nysha (reich) 9.88
6 naxi (hgdp) 10.4
7 aonaga (reich) 11.45
8 han-nchina (hgdp) 11.48
9 yi (hgdp) 12.01
10 xibo (hgdp) 14.18
11 chinese-beijing (1000genomes) 16.4
12 chinese-beijing (hapmap) 16.58
13 mongola (hgdp) 17.86
14 japanese (xing) 23.45
15 hezhen (hgdp) 24.93
16 daur (hgdp) 26.07
17 tujia (hgdp) 26.34
18 chinese-american (hapmap) 26.86
19 japanese (1000genomes) 27.31
20 japanese (hapmap) 27.46
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 84.5% tibet (simonson) + 15.5% burmanese (chaubey) @ 2.01
2 91.8% tibet (simonson) + 8.2% khmer-cambodian (xing) @ 2.09
3 92% tibet (simonson) + 8% thai (xing) @ 2.1
4 83.8% tibet (simonson) + 16.2% garo (chaubey) @ 2.13
5 92.9% tibet (simonson) + 7.1% singapore-malay (sgvp) @ 2.16
6 92.7% tibet (simonson) + 7.3% cambodian (hgdp) @ 2.22
7 93.5% tibet (simonson) + 6.5% samoan (xing) @ 2.36
8 93.9% tibet (simonson) + 6.1% iban (xing) @ 2.47
9 93.5% tibet (simonson) + 6.5% tongan (xing) @ 2.54
10 89.9% tibet (simonson) + 10.1% lahu (hgdp) @ 2.71
11 90.9% tibet (simonson) + 9.1% kinh (1000genomes) @ 2.76
12 90.3% tibet (simonson) + 9.7% vietnamese (xing) @ 2.8
13 79.8% nysha (reich) + 20.2% burmanese (chaubey) @ 2.82
14 92.1% tibet (simonson) + 7.9% dai (hgdp) @ 2.85
15 91.8% tibet (simonson) + 8.2% dai-chinese (1000genomes) @ 2.86
16 89.6% tibet (simonson) + 10.4% khasi (chaubey) @ 2.92
17 89.4% nysha (reich) + 10.6% thai (xing) @ 3.2
18 79.1% nysha (reich) + 20.9% garo (chaubey) @ 3.26
19 90.6% nysha (reich) + 9.4% singapore-malay (sgvp) @ 3.41
20 85.8% nysha (reich) + 14.2% khasi (chaubey) @ 3.43
Kit HY9950261
# Population Percent
1 NE-Asian 73.75
2 Siberian 10.25
3 S-Indian 8
4 SE-Asian 5.23
5 American 1.26
6 Pygmy 0.83
7 Papuan 0.34
8 Beringian 0.34
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 5.9
2 tibet (simonson) 7.07
3 japanese (hgdp) 8.74
4 naga (metspalu) 9.56
5 nysha (reich) 9.6
6 naxi (hgdp) 10.43
7 aonaga (reich) 11.09
8 han-nchina (hgdp) 11.25
9 yi (hgdp) 12.03
10 xibo (hgdp) 14.47
11 chinese-beijing (1000genomes) 16.25
12 chinese-beijing (hapmap) 16.39
13 mongola (hgdp) 18.16
14 japanese (xing) 23.02
15 hezhen (hgdp) 25.13
16 daur (hgdp) 26.31
17 tujia (hgdp) 26.34
18 chinese-american (hapmap) 26.85
19 japanese (1000genomes) 26.89
20 japanese (hapmap) 27.03
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 84.3% tibet (simonson) + 15.7% garo (chaubey) @ 2.44
2 92.1% tibet (simonson) + 7.9% khmer-cambodian (xing) @ 2.52
3 85.2% tibet (simonson) + 14.8% burmanese (chaubey) @ 2.58
4 92.4% tibet (simonson) + 7.6% thai (xing) @ 2.67
5 93% tibet (simonson) + 7% cambodian (hgdp) @ 2.7
6 93.3% tibet (simonson) + 6.7% singapore-malay (sgvp) @ 2.83
7 94.2% tibet (simonson) + 5.8% iban (xing) @ 2.92
8 90.2% tibet (simonson) + 9.8% lahu (hgdp) @ 2.94
9 91.1% tibet (simonson) + 8.9% kinh (1000genomes) @ 2.95
10 80.5% nysha (reich) + 19.5% burmanese (chaubey) @ 2.97
11 92.3% tibet (simonson) + 7.7% dai (hgdp) @ 3.03
12 92.1% tibet (simonson) + 7.9% dai-chinese (1000genomes) @ 3.03
13 90.6% tibet (simonson) + 9.4% vietnamese (xing) @ 3.04
14 79.7% nysha (reich) + 20.3% garo (chaubey) @ 3.14
15 89.8% nysha (reich) + 10.2% thai (xing) @ 3.32
16 90.1% tibet (simonson) + 9.9% khasi (chaubey) @ 3.36
17 86.4% nysha (reich) + 13.6% khasi (chaubey) @ 3.58
18 89.6% nysha (reich) + 10.4% khmer-cambodian (xing) @ 3.6
19 90.7% nysha (reich) + 9.3% cambodian (hgdp) @ 3.61
20 85.1% tibet (simonson) + 14.9% miao (hgdp) @ 3.62
alpha.ghot
08-22-2020, 10:52 PM
Nepalese mongoloids - Rais
Kit DN8510520
# Population Percent
1 NE-Asian 72.96
2 S-Indian 10.5
3 Siberian 10.3
4 SE-Asian 3.36
5 American 1.33
6 W-African 0.64
7 Papuan 0.6
8 Baloch 0.3
Single Population Sharing:
# Population (source) Distance
1 tibet (simonson) 7.39
2 tu (hgdp) 8.21
3 nysha (reich) 10
4 naga (metspalu) 10.79
5 japanese (hgdp) 11.62
6 aonaga (reich) 11.98
7 naxi (hgdp) 12.8
8 han-nchina (hgdp) 14
9 yi (hgdp) 14.38
10 xibo (hgdp) 15.49
11 chinese-beijing (1000genomes) 18.84
12 mongola (hgdp) 18.93
13 chinese-beijing (hapmap) 18.97
14 japanese (xing) 24.05
15 hezhen (hgdp) 25.47
16 daur (hgdp) 26.55
17 nepalese-b (xing) 26.9
18 japanese (1000genomes) 27.97
19 japanese (hapmap) 28.1
20 tujia (hgdp) 28.49
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 92.6% tibet (simonson) + 7.4% bonda (chaubey) @ 2.26
2 92.6% tibet (simonson) + 7.4% juang (chaubey) @ 2.31
3 92.7% tibet (simonson) + 7.3% kharia (chaubey) @ 2.43
4 92.8% tibet (simonson) + 7.2% savara (chaubey) @ 2.56
5 92.8% tibet (simonson) + 7.2% ho (chaubey) @ 2.56
6 89.1% tibet (simonson) + 10.9% khasi (chaubey) @ 2.77
7 92.9% tibet (simonson) + 7.1% santhal (reich) @ 2.84
8 93% tibet (simonson) + 7% asur (chaubey) @ 2.87
9 84% tibet (simonson) + 16% garo (chaubey) @ 2.89
10 92.7% tibet (simonson) + 7.3% sahariya (reich) @ 2.98
11 85.4% nysha (reich) + 14.6% khasi (chaubey) @ 3.01
12 91.6% tibet (simonson) + 8.4% onge (reich) @ 3.11
13 91.4% tibet (simonson) + 8.6% great-andamanese (reich) @ 3.25
14 93.1% tibet (simonson) + 6.9% nihali (metspalu) @ 3.28
15 85.2% tibet (simonson) + 14.8% burmanese (chaubey) @ 3.33
16 90.4% nysha (reich) + 9.6% bonda (chaubey) @ 3.38
17 90.3% nysha (reich) + 9.7% juang (chaubey) @ 3.38
18 93% tibet (simonson) + 7% gond (metspalu) @ 3.4
19 88.3% nysha (reich) + 11.7% great-andamanese (reich) @ 3.52
20 92.9% tibet (simonson) + 7.1% satnami (reich) @ 3.52
Kit AF4263490
# Population Percent
1 NE-Asian 73.05
2 Siberian 10.06
3 S-Indian 7.45
4 SE-Asian 4.99
5 Papuan 2.49
6 Baloch 0.61
7 Caucasian 0.53
8 W-African 0.32
9 American 0.3
10 Pygmy 0.2
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 5.6
2 tibet (simonson) 7.18
3 japanese (hgdp) 8.83
4 naga (metspalu) 9.83
5 nysha (reich) 9.88
6 naxi (hgdp) 10.4
7 aonaga (reich) 11.45
8 han-nchina (hgdp) 11.48
9 yi (hgdp) 12.01
10 xibo (hgdp) 14.18
11 chinese-beijing (1000genomes) 16.4
12 chinese-beijing (hapmap) 16.58
13 mongola (hgdp) 17.86
14 japanese (xing) 23.45
15 hezhen (hgdp) 24.93
16 daur (hgdp) 26.07
17 tujia (hgdp) 26.34
18 chinese-american (hapmap) 26.86
19 japanese (1000genomes) 27.31
20 japanese (hapmap) 27.46
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 84.5% tibet (simonson) + 15.5% burmanese (chaubey) @ 2.01
2 91.8% tibet (simonson) + 8.2% khmer-cambodian (xing) @ 2.09
3 92% tibet (simonson) + 8% thai (xing) @ 2.1
4 83.8% tibet (simonson) + 16.2% garo (chaubey) @ 2.13
5 92.9% tibet (simonson) + 7.1% singapore-malay (sgvp) @ 2.16
6 92.7% tibet (simonson) + 7.3% cambodian (hgdp) @ 2.22
7 93.5% tibet (simonson) + 6.5% samoan (xing) @ 2.36
8 93.9% tibet (simonson) + 6.1% iban (xing) @ 2.47
9 93.5% tibet (simonson) + 6.5% tongan (xing) @ 2.54
10 89.9% tibet (simonson) + 10.1% lahu (hgdp) @ 2.71
11 90.9% tibet (simonson) + 9.1% kinh (1000genomes) @ 2.76
12 90.3% tibet (simonson) + 9.7% vietnamese (xing) @ 2.8
13 79.8% nysha (reich) + 20.2% burmanese (chaubey) @ 2.82
14 92.1% tibet (simonson) + 7.9% dai (hgdp) @ 2.85
15 91.8% tibet (simonson) + 8.2% dai-chinese (1000genomes) @ 2.86
16 89.6% tibet (simonson) + 10.4% khasi (chaubey) @ 2.92
17 89.4% nysha (reich) + 10.6% thai (xing) @ 3.2
18 79.1% nysha (reich) + 20.9% garo (chaubey) @ 3.26
19 90.6% nysha (reich) + 9.4% singapore-malay (sgvp) @ 3.41
20 85.8% nysha (reich) + 14.2% khasi (chaubey) @ 3.43
Kit HY9950261
# Population Percent
1 NE-Asian 73.75
2 Siberian 10.25
3 S-Indian 8
4 SE-Asian 5.23
5 American 1.26
6 Pygmy 0.83
7 Papuan 0.34
8 Beringian 0.34
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 5.9
2 tibet (simonson) 7.07
3 japanese (hgdp) 8.74
4 naga (metspalu) 9.56
5 nysha (reich) 9.6
6 naxi (hgdp) 10.43
7 aonaga (reich) 11.09
8 han-nchina (hgdp) 11.25
9 yi (hgdp) 12.03
10 xibo (hgdp) 14.47
11 chinese-beijing (1000genomes) 16.25
12 chinese-beijing (hapmap) 16.39
13 mongola (hgdp) 18.16
14 japanese (xing) 23.02
15 hezhen (hgdp) 25.13
16 daur (hgdp) 26.31
17 tujia (hgdp) 26.34
18 chinese-american (hapmap) 26.85
19 japanese (1000genomes) 26.89
20 japanese (hapmap) 27.03
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 84.3% tibet (simonson) + 15.7% garo (chaubey) @ 2.44
2 92.1% tibet (simonson) + 7.9% khmer-cambodian (xing) @ 2.52
3 85.2% tibet (simonson) + 14.8% burmanese (chaubey) @ 2.58
4 92.4% tibet (simonson) + 7.6% thai (xing) @ 2.67
5 93% tibet (simonson) + 7% cambodian (hgdp) @ 2.7
6 93.3% tibet (simonson) + 6.7% singapore-malay (sgvp) @ 2.83
7 94.2% tibet (simonson) + 5.8% iban (xing) @ 2.92
8 90.2% tibet (simonson) + 9.8% lahu (hgdp) @ 2.94
9 91.1% tibet (simonson) + 8.9% kinh (1000genomes) @ 2.95
10 80.5% nysha (reich) + 19.5% burmanese (chaubey) @ 2.97
11 92.3% tibet (simonson) + 7.7% dai (hgdp) @ 3.03
12 92.1% tibet (simonson) + 7.9% dai-chinese (1000genomes) @ 3.03
13 90.6% tibet (simonson) + 9.4% vietnamese (xing) @ 3.04
14 79.7% nysha (reich) + 20.3% garo (chaubey) @ 3.14
15 89.8% nysha (reich) + 10.2% thai (xing) @ 3.32
16 90.1% tibet (simonson) + 9.9% khasi (chaubey) @ 3.36
17 86.4% nysha (reich) + 13.6% khasi (chaubey) @ 3.58
18 89.6% nysha (reich) + 10.4% khmer-cambodian (xing) @ 3.6
19 90.7% nysha (reich) + 9.3% cambodian (hgdp) @ 3.61
20 85.1% tibet (simonson) + 14.9% miao (hgdp) @ 3.62
Who are these Rais and if anyone has any clue about their origion?
Thambi
08-22-2020, 10:59 PM
Who are these Rais and if anyone has any clue about their origion?
https://en.wikipedia.org/wiki/Kirati_people
they're kiratis spread across himalayan region of eastern nepal and parts of northeast india. They're tibetan in origin just like all mongoloid groups in nepal. they just didnt mix as much with surrounding indic populations similar to sherpas.
Tamangs, gurungs, magars however did mix a decent bit with indic populations.
alpha.ghot
08-22-2020, 11:05 PM
https://en.wikipedia.org/wiki/Kirati_people
they're kiratis spread across himalayan region of eastern nepal and parts of northeast india. They're tibetan in origin just like all mongoloid groups in nepal. they just didnt mix as much with surrounding indic populations similar to sherpas.
Tamangs, gurungs, magars however did mix a decent bit with indic populations.
What about their haplogroups?
Lucas
08-22-2020, 11:13 PM
If there are Chettri related samples in G25 or any Gedmatch oracle so far?
I have all Nepali groups except them. And never heard about it.
NPKTO
08-22-2020, 11:19 PM
If there are Chettri related samples in G25 or any Gedmatch oracle so far?
I have all Nepali groups except them. And never heard about it.
I'll pm you some Chhetri kits from gedmatch.
Thambi
08-22-2020, 11:25 PM
What about their haplogroups?
y = O3-M122, mostly similar to gansu/sichuan people. but modern tibetans from tibet have 50% D, which is almost non existent among nepali mongoloid groups so thats interesting. maybe nepali/northeast indian mongoloids have origins from more eastern regions of the tibetan plateau where they would have more han chinese like haplogroups.
Mtdna = A and F mostly at 40% and 12% respectively. they're related to tibetans again.
https://ars.els-cdn.com/content/image/1-s2.0-S0002929707609446-gr2.gif
https://repository.upenn.edu/cgi/viewcontent.cgi?referer=https://www.google.com/&httpsredir=1&article=1134&context=anthro_seniortheses
Thambi
08-22-2020, 11:36 PM
If there are Chettri related samples in G25 or any Gedmatch oracle so far?
I have all Nepali groups except them. And never heard about it.
NPKTO has more chhetri kits but here are a few that I've seen. I've seen way more chhetri kits before but i forgot to save their results and their kits are not found anymore on gedmatch. maybe they made it private not sure.
Kit A642452
# Population Percent
1 S-Indian 33.25
2 NE-Asian 31.1
3 Baloch 17.23
4 Siberian 5.17
5 SE-Asian 4.08
6 Caucasian 3.14
7 NE-Euro 2.5
8 Papuan 1.87
9 Beringian 0.96
10 Mediterranean 0.71
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 11.31
2 nepalese-b (xing) 21.36
3 khasi (chaubey) 27.62
4 bengali (harappa) 29.23
5 hazara (hgdp) 29.8
6 uyghur (hgdp) 29.91
7 great-andamanese (reich) 30.49
8 burmanese (chaubey) 31.87
9 garo (chaubey) 31.93
10 bihari-muslim (harappa) 33.09
11 bengali-brahmin (harappa) 33.14
12 up-muslim (harappa) 33.18
13 nepalese-a (xing) 33.26
14 burusho (hgdp) 34.07
15 sri-lankan (harappa) 34.18
16 cochin-jew (behar) 34.24
17 uzbek (behar) 34.26
18 kerala-muslim (harappa) 34.64
19 kashmiri (harappa) 34.75
20 gujarati-muslim (harappa) 34.77
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 64.7% bengali (harappa) + 35.3% tibet (simonson) @ 1.99
2 65.8% bengali (harappa) + 34.2% nysha (reich) @ 2.14
3 66.2% bengali (harappa) + 33.8% naga (metspalu) @ 2.47
4 56.6% sinhalese (harappa) + 43.4% tu (hgdp) @ 2.48
5 66.6% bengali (harappa) + 33.4% aonaga (reich) @ 2.5
6 57.1% andhra-pradesh (harappa) + 42.9% tu (hgdp) @ 2.81
7 57.9% nepalese-b (xing) + 42.1% bengali (harappa) @ 2.99
8 55.9% tamil-nadar (harappa) + 44.1% tu (hgdp) @ 2.99
9 55.7% lodi (reich) + 44.3% tu (hgdp) @ 3
10 56.4% up-scheduled-caste (metspalu) + 43.6% tu (hgdp) @ 3.01
11 55.1% kurumba (metspalu) + 44.9% tu (hgdp) @ 3.09
12 60.5% caribbean-indian (harappa) + 39.5% japanese (hgdp) @ 3.13
13 58.8% caribbean-indian (harappa) + 41.2% tu (hgdp) @ 3.16
14 59.5% up-muslim (metspalu) + 40.5% japanese (hgdp) @ 3.19
15 55.7% dusadh (metspalu) + 44.3% tu (hgdp) @ 3.21
16 58.9% andhra-pradesh (harappa) + 41.1% japanese (hgdp) @ 3.23
17 55.5% tamil-nadu-scheduled-caste (metspalu) + 44.5% tu (hgdp) @ 3.23
18 57.6% tamil (harappa) + 42.4% tu (hgdp) @ 3.25
19 58.9% kerala-muslim (harappa) + 41.1% tu (hgdp) @ 3.26
20 57.1% tharu (metspalu) + 42.9% tu (hgdp) @ 3.28
Kit G457992
# Population Percent
1 S-Indian 32.9
2 Baloch 23.59
3 NE-Asian 19.66
4 NE-Euro 7.86
5 Siberian 4.88
6 Caucasian 3.55
7 SE-Asian 2.92
8 SW-Asian 2.18
9 Beringian 1.17
10 Papuan 0.9
11 Pygmy 0.18
12 W-African 0.13
13 San 0.07
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 6.25
2 bengali (harappa) 19.91
3 nepalese-a (xing) 20.5
4 up-muslim (harappa) 20.95
5 bengali-brahmin (harappa) 21.18
6 bihari-muslim (harappa) 21.59
7 burusho (hgdp) 22.91
8 kashmiri (harappa) 22.94
9 gujarati-muslim (harappa) 23.22
10 punjabi (harappa) 23.61
11 up-brahmin (harappa) 23.77
12 brahmin-uttar-pradesh (metspalu) 23.93
13 cochin-jew (behar) 23.98
14 vaish (reich) 24.01
15 karnataka-brahmin (harappa) 24.26
16 punjabi-jatt-muslim (harappa) 24.27
17 kashmiri-pandit (reich) 24.36
18 singapore-indian-c (sgvp) 24.48
19 maharashtrian (harappa) 24.52
20 kashmiri-pahari (harappa) 24.54
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 74.2% bengali-brahmin (harappa) + 25.8% tu (hgdp) @ 3.21
2 75.5% bengali-brahmin (harappa) + 24.5% tibet (simonson) @ 3.21
3 75.4% bengali-brahmin (harappa) + 24.6% japanese (hgdp) @ 3.31
4 73.8% bihari-muslim (harappa) + 26.2% tu (hgdp) @ 3.39
5 75% bihari-muslim (harappa) + 25% japanese (hgdp) @ 3.41
6 71.1% vaish (reich) + 28.9% xibo (hgdp) @ 3.42
7 72.9% vaish (reich) + 27.1% japanese (hgdp) @ 3.5
8 73.7% bengali-brahmin (harappa) + 26.3% xibo (hgdp) @ 3.51
9 76.6% bengali-brahmin (harappa) + 23.4% naga (metspalu) @ 3.65
10 76.3% bengali-brahmin (harappa) + 23.7% nysha (reich) @ 3.69
11 71.7% vaish (reich) + 28.3% tu (hgdp) @ 3.71
12 73.3% bihari-muslim (harappa) + 26.7% xibo (hgdp) @ 3.84
13 76.9% bengali-brahmin (harappa) + 23.1% aonaga (reich) @ 3.88
14 75.2% bihari-muslim (harappa) + 24.8% tibet (simonson) @ 3.93
15 74.7% bengali-brahmin (harappa) + 25.3% naxi (hgdp) @ 4.02
16 71% karnataka-brahmin (harappa) + 29% xibo (hgdp) @ 4.04
17 70.5% vaish (reich) + 29.5% mongola (hgdp) @ 4.06
18 74.4% bihari-muslim (harappa) + 25.6% naxi (hgdp) @ 4.07
19 75.8% bihari-muslim (harappa) + 24.2% han-nchina (hgdp) @ 4.08
20 76.1% bengali-brahmin (harappa) + 23.9% han-nchina (hgdp) @ 4.1
Kit LS3019267
# Population Percent
1 S-Indian 35.58
2 Baloch 27.31
3 NE-Asian 18.26
4 NE-Euro 7.22
5 Siberian 3.15
6 SE-Asian 2.31
7 Caucasian 2.27
8 Beringian 1.66
9 Mediterranean 1.3
10 Papuan 0.94
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 7.44
2 bengali (harappa) 16.89
3 nepalese-a (xing) 17.61
4 bengali-brahmin (harappa) 17.82
5 bihari-muslim (harappa) 18.25
6 up-muslim (harappa) 18.68
7 vaish (reich) 20.35
8 brahmin-uttar-pradesh (metspalu) 20.41
9 up-brahmin (harappa) 20.41
10 karnataka-brahmin (harappa) 20.56
11 maharashtrian (harappa) 20.78
12 up-kshatriya (metspalu) 21.04
13 bihari (harappa) 21.08
14 punjabi (harappa) 21.12
15 kashmiri (harappa) 21.16
16 gujarati-muslim (harappa) 21.2
17 up (harappa) 21.28
18 gujarati (harappa) 21.28
19 rajasthani (harappa) 21.42
20 cochin-jew (behar) 21.47
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 76.9% vaish (reich) + 23.1% japanese (hgdp) @ 2.18
2 79.9% bengali-brahmin (harappa) + 20.1% nysha (reich) @ 2.28
3 80.2% bengali-brahmin (harappa) + 19.8% naga (metspalu) @ 2.32
4 80.4% bengali-brahmin (harappa) + 19.6% aonaga (reich) @ 2.33
5 75.3% up-kshatriya (metspalu) + 24.7% tu (hgdp) @ 2.41
6 75.9% vaish (reich) + 24.1% tu (hgdp) @ 2.45
7 76.3% up-kshatriya (metspalu) + 23.7% japanese (hgdp) @ 2.48
8 77.9% vaish (reich) + 22.1% naga (metspalu) @ 2.52
9 79.3% bengali-brahmin (harappa) + 20.7% tibet (simonson) @ 2.59
10 77.4% up-kshatriya (metspalu) + 22.6% naga (metspalu) @ 2.63
11 76.3% vaish (reich) + 23.7% naxi (hgdp) @ 2.66
12 77.5% vaish (reich) + 22.5% han-nchina (hgdp) @ 2.67
13 77% vaish (reich) + 23% tibet (simonson) @ 2.75
14 76.4% up-kshatriya (metspalu) + 23.6% tibet (simonson) @ 2.78
15 78.2% vaish (reich) + 21.8% aonaga (reich) @ 2.81
16 77% up-kshatriya (metspalu) + 23% han-nchina (hgdp) @ 2.82
17 77.7% vaish (reich) + 22.3% nysha (reich) @ 2.86
18 75.7% up-kshatriya (metspalu) + 24.3% naxi (hgdp) @ 2.87
19 77.6% up-kshatriya (metspalu) + 22.4% aonaga (reich) @ 2.91
20 77.1% up-kshatriya (metspalu) + 22.9% nysha (reich) @ 2.92
Lucas
08-22-2020, 11:45 PM
Thank you.
I will upload some single kits for every Nepali pop from academic refs later.
Godardt
08-23-2020, 03:53 AM
No Thakuri kit Brother, I'm so curious to see a Thakuri admix chart. I've come across none so far.
Lucas
08-23-2020, 10:01 AM
Uploaded Sherpa from Reich dataset
JH7355083
vbnetkhio
08-23-2020, 10:03 AM
Uploaded Sherpa from Reich dataset
JH7355083
there is a Sherpa in the dataset? i can't find it. maybe it was removed in the newest version?
Lucas
08-23-2020, 10:06 AM
there is a Sherpa in the dataset? i can't find it. maybe it was removed in the newest version?
There were even two:) Yes I used old version of dataset now. Maybe in new they aren't included.
Lucas
08-23-2020, 10:22 AM
Tamang (Nepal) from Pagani dataset
CA2076653
Kaazi
08-23-2020, 10:27 AM
Chettri
1S-Indian32.92
2Baloch23.60
3NE-Asian19.62
4NE-Euro7.87
5Siberian4.93
6Caucasian3.56
7SE-Asian2.88
8SW-Asian2.18
9Beringian1.15
Another Chhetri:
1S-Indian32.94
2Baloch26.63
3NE-Asian19.45
4NE-Euro7.59
5Caucasian4.89
6Siberian2.89
7American1.50
8SE-Asian1.47
9Papuan1.13
10Beringian1.00
NPKTO has more chhetri kits but here are a few that I've seen. I've seen way more chhetri kits before but i forgot to save their results and their kits are not found anymore on gedmatch. maybe they made it private not sure.
Kit A642452
# Population Percent
1 S-Indian 33.25
2 NE-Asian 31.1
3 Baloch 17.23
4 Siberian 5.17
5 SE-Asian 4.08
6 Caucasian 3.14
7 NE-Euro 2.5
8 Papuan 1.87
9 Beringian 0.96
10 Mediterranean 0.71
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 11.31
2 nepalese-b (xing) 21.36
3 khasi (chaubey) 27.62
4 bengali (harappa) 29.23
5 hazara (hgdp) 29.8
6 uyghur (hgdp) 29.91
7 great-andamanese (reich) 30.49
8 burmanese (chaubey) 31.87
9 garo (chaubey) 31.93
10 bihari-muslim (harappa) 33.09
11 bengali-brahmin (harappa) 33.14
12 up-muslim (harappa) 33.18
13 nepalese-a (xing) 33.26
14 burusho (hgdp) 34.07
15 sri-lankan (harappa) 34.18
16 cochin-jew (behar) 34.24
17 uzbek (behar) 34.26
18 kerala-muslim (harappa) 34.64
19 kashmiri (harappa) 34.75
20 gujarati-muslim (harappa) 34.77
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 64.7% bengali (harappa) + 35.3% tibet (simonson) @ 1.99
2 65.8% bengali (harappa) + 34.2% nysha (reich) @ 2.14
3 66.2% bengali (harappa) + 33.8% naga (metspalu) @ 2.47
4 56.6% sinhalese (harappa) + 43.4% tu (hgdp) @ 2.48
5 66.6% bengali (harappa) + 33.4% aonaga (reich) @ 2.5
6 57.1% andhra-pradesh (harappa) + 42.9% tu (hgdp) @ 2.81
7 57.9% nepalese-b (xing) + 42.1% bengali (harappa) @ 2.99
8 55.9% tamil-nadar (harappa) + 44.1% tu (hgdp) @ 2.99
9 55.7% lodi (reich) + 44.3% tu (hgdp) @ 3
10 56.4% up-scheduled-caste (metspalu) + 43.6% tu (hgdp) @ 3.01
11 55.1% kurumba (metspalu) + 44.9% tu (hgdp) @ 3.09
12 60.5% caribbean-indian (harappa) + 39.5% japanese (hgdp) @ 3.13
13 58.8% caribbean-indian (harappa) + 41.2% tu (hgdp) @ 3.16
14 59.5% up-muslim (metspalu) + 40.5% japanese (hgdp) @ 3.19
15 55.7% dusadh (metspalu) + 44.3% tu (hgdp) @ 3.21
16 58.9% andhra-pradesh (harappa) + 41.1% japanese (hgdp) @ 3.23
17 55.5% tamil-nadu-scheduled-caste (metspalu) + 44.5% tu (hgdp) @ 3.23
18 57.6% tamil (harappa) + 42.4% tu (hgdp) @ 3.25
19 58.9% kerala-muslim (harappa) + 41.1% tu (hgdp) @ 3.26
20 57.1% tharu (metspalu) + 42.9% tu (hgdp) @ 3.28
Kit G457992
# Population Percent
1 S-Indian 32.9
2 Baloch 23.59
3 NE-Asian 19.66
4 NE-Euro 7.86
5 Siberian 4.88
6 Caucasian 3.55
7 SE-Asian 2.92
8 SW-Asian 2.18
9 Beringian 1.17
10 Papuan 0.9
11 Pygmy 0.18
12 W-African 0.13
13 San 0.07
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 6.25
2 bengali (harappa) 19.91
3 nepalese-a (xing) 20.5
4 up-muslim (harappa) 20.95
5 bengali-brahmin (harappa) 21.18
6 bihari-muslim (harappa) 21.59
7 burusho (hgdp) 22.91
8 kashmiri (harappa) 22.94
9 gujarati-muslim (harappa) 23.22
10 punjabi (harappa) 23.61
11 up-brahmin (harappa) 23.77
12 brahmin-uttar-pradesh (metspalu) 23.93
13 cochin-jew (behar) 23.98
14 vaish (reich) 24.01
15 karnataka-brahmin (harappa) 24.26
16 punjabi-jatt-muslim (harappa) 24.27
17 kashmiri-pandit (reich) 24.36
18 singapore-indian-c (sgvp) 24.48
19 maharashtrian (harappa) 24.52
20 kashmiri-pahari (harappa) 24.54
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 74.2% bengali-brahmin (harappa) + 25.8% tu (hgdp) @ 3.21
2 75.5% bengali-brahmin (harappa) + 24.5% tibet (simonson) @ 3.21
3 75.4% bengali-brahmin (harappa) + 24.6% japanese (hgdp) @ 3.31
4 73.8% bihari-muslim (harappa) + 26.2% tu (hgdp) @ 3.39
5 75% bihari-muslim (harappa) + 25% japanese (hgdp) @ 3.41
6 71.1% vaish (reich) + 28.9% xibo (hgdp) @ 3.42
7 72.9% vaish (reich) + 27.1% japanese (hgdp) @ 3.5
8 73.7% bengali-brahmin (harappa) + 26.3% xibo (hgdp) @ 3.51
9 76.6% bengali-brahmin (harappa) + 23.4% naga (metspalu) @ 3.65
10 76.3% bengali-brahmin (harappa) + 23.7% nysha (reich) @ 3.69
11 71.7% vaish (reich) + 28.3% tu (hgdp) @ 3.71
12 73.3% bihari-muslim (harappa) + 26.7% xibo (hgdp) @ 3.84
13 76.9% bengali-brahmin (harappa) + 23.1% aonaga (reich) @ 3.88
14 75.2% bihari-muslim (harappa) + 24.8% tibet (simonson) @ 3.93
15 74.7% bengali-brahmin (harappa) + 25.3% naxi (hgdp) @ 4.02
16 71% karnataka-brahmin (harappa) + 29% xibo (hgdp) @ 4.04
17 70.5% vaish (reich) + 29.5% mongola (hgdp) @ 4.06
18 74.4% bihari-muslim (harappa) + 25.6% naxi (hgdp) @ 4.07
19 75.8% bihari-muslim (harappa) + 24.2% han-nchina (hgdp) @ 4.08
20 76.1% bengali-brahmin (harappa) + 23.9% han-nchina (hgdp) @ 4.1
Kit LS3019267
# Population Percent
1 S-Indian 35.58
2 Baloch 27.31
3 NE-Asian 18.26
4 NE-Euro 7.22
5 Siberian 3.15
6 SE-Asian 2.31
7 Caucasian 2.27
8 Beringian 1.66
9 Mediterranean 1.3
10 Papuan 0.94
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 7.44
2 bengali (harappa) 16.89
3 nepalese-a (xing) 17.61
4 bengali-brahmin (harappa) 17.82
5 bihari-muslim (harappa) 18.25
6 up-muslim (harappa) 18.68
7 vaish (reich) 20.35
8 brahmin-uttar-pradesh (metspalu) 20.41
9 up-brahmin (harappa) 20.41
10 karnataka-brahmin (harappa) 20.56
11 maharashtrian (harappa) 20.78
12 up-kshatriya (metspalu) 21.04
13 bihari (harappa) 21.08
14 punjabi (harappa) 21.12
15 kashmiri (harappa) 21.16
16 gujarati-muslim (harappa) 21.2
17 up (harappa) 21.28
18 gujarati (harappa) 21.28
19 rajasthani (harappa) 21.42
20 cochin-jew (behar) 21.47
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 76.9% vaish (reich) + 23.1% japanese (hgdp) @ 2.18
2 79.9% bengali-brahmin (harappa) + 20.1% nysha (reich) @ 2.28
3 80.2% bengali-brahmin (harappa) + 19.8% naga (metspalu) @ 2.32
4 80.4% bengali-brahmin (harappa) + 19.6% aonaga (reich) @ 2.33
5 75.3% up-kshatriya (metspalu) + 24.7% tu (hgdp) @ 2.41
6 75.9% vaish (reich) + 24.1% tu (hgdp) @ 2.45
7 76.3% up-kshatriya (metspalu) + 23.7% japanese (hgdp) @ 2.48
8 77.9% vaish (reich) + 22.1% naga (metspalu) @ 2.52
9 79.3% bengali-brahmin (harappa) + 20.7% tibet (simonson) @ 2.59
10 77.4% up-kshatriya (metspalu) + 22.6% naga (metspalu) @ 2.63
11 76.3% vaish (reich) + 23.7% naxi (hgdp) @ 2.66
12 77.5% vaish (reich) + 22.5% han-nchina (hgdp) @ 2.67
13 77% vaish (reich) + 23% tibet (simonson) @ 2.75
14 76.4% up-kshatriya (metspalu) + 23.6% tibet (simonson) @ 2.78
15 78.2% vaish (reich) + 21.8% aonaga (reich) @ 2.81
16 77% up-kshatriya (metspalu) + 23% han-nchina (hgdp) @ 2.82
17 77.7% vaish (reich) + 22.3% nysha (reich) @ 2.86
18 75.7% up-kshatriya (metspalu) + 24.3% naxi (hgdp) @ 2.87
19 77.6% up-kshatriya (metspalu) + 22.4% aonaga (reich) @ 2.91
20 77.1% up-kshatriya (metspalu) + 22.9% nysha (reich) @ 2.92
Bro, I want to know what sub-caste or sub-regions these Chhetri samples belong to. Do you know any last names/regions of them??
Thambi
09-05-2020, 09:55 PM
Bro, I want to know what sub-caste or sub-regions these Chhetri samples belong to. Do you know any last names/regions of them??
hey sorry for the late reply. not sure if you found their last names already but here are the three i used above.
A642452 - Khadka
G457992 - Budhathoki
LS3019267 - Poppat
Kaazi
09-06-2020, 11:03 AM
hey sorry for the late reply. not sure if you found their last names already but here are the three i used above.
A642452 - Khadka
G457992 - Budhathoki
LS3019267 - Poppat
Thanks bro. I found their names.
Thambi
09-17-2020, 11:01 PM
Bahuns/Brahmins
Kit BY1849517 (Sapkota)
# Population Percent
1 S-Indian 36.26
2 Baloch 34.46
3 NE-Euro 10.52
4 Caucasian 6.73
5 Beringian 3.77
6 SW-Asian 2.17
7 NE-Asian 2
8 Mediterranean 1.45
9 Siberian 0.99
10 Papuan 0.93
11 San 0.72
Single Population Sharing:
# Population (source) Distance
1 up-brahmin (harappa) 5.37
2 up-muslim (harappa) 5.5
3 nepalese-a (xing) 6.39
4 bengali-brahmin (harappa) 6.88
5 punjabi (harappa) 7.23
6 brahmin-uttar-pradesh (metspalu) 7.41
7 singapore-indian-c (sgvp) 7.56
8 punjabi-brahmin (harappa) 7.58
9 punjabi-ramgarhia (harappa) 8.05
10 bihari-muslim (harappa) 8.19
11 kashmiri-pahari (harappa) 8.35
12 punjabi-jatt-muslim (harappa) 8.47
13 kashmiri-pandit (reich) 8.5
14 vaish (reich) 8.88
15 gujarati-muslim (harappa) 9.42
16 gujarati-b (hapmap) 10.05
17 up-kshatriya (metspalu) 10.06
18 kashmiri (harappa) 10.12
19 punjabi-jatt-sikh (harappa) 10.34
20 karnataka-brahmin (harappa) 10.54
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 93% up-brahmin (harappa) + 7% yemenese (behar) @ 3.45
2 93.6% up-brahmin (harappa) + 6.4% egyptian (behar) @ 3.51
3 93.6% up-brahmin (harappa) + 6.4% egypt (henn2012) @ 3.53
4 95.4% up-brahmin (harappa) + 4.6% koryak (rasmussen) @ 3.55
5 94.5% up-brahmin (harappa) + 5.5% yemen-jew (behar) @ 3.57
6 91.6% up-brahmin (harappa) + 8.4% uyghur (hgdp) @ 3.57
7 94.4% up-brahmin (harappa) + 5.6% bedouin (hgdp) @ 3.59
8 93.4% up-brahmin (harappa) + 6.6% jordanian (behar) @ 3.59
9 91.1% up-brahmin (harappa) + 8.9% uzbek (behar) @ 3.59
10 93.6% up-brahmin (harappa) + 6.4% palestinian (hgdp) @ 3.6
11 94.6% up-brahmin (harappa) + 5.4% saudi (behar) @ 3.62
12 95.8% up-brahmin (harappa) + 4.2% chukchi (rasmussen) @ 3.63
13 94% up-brahmin (harappa) + 6% qatari (henn2012) @ 3.64
14 94.8% up-brahmin (harappa) + 5.2% west-greenlander (rasmussen) @ 3.66
15 56.8% bengali-brahmin (harappa) + 43.2% punjabi-jatt-muslim (harappa) @ 3.67
16 92.4% up-brahmin (harappa) + 7.6% iraqi-arab (harappa) @ 3.68
17 91.6% up-brahmin (harappa) + 8.4% hazara (hgdp) @ 3.68
18 93.2% up-brahmin (harappa) + 6.8% syrian (behar) @ 3.69
19 95.8% up-brahmin (harappa) + 4.2% east-greenlander (rasmussen) @ 3.7
20 93.4% up-brahmin (harappa) + 6.6% lebanese (behar) @ 3.71
Kit LB9928111 (Aryal)
# Population Percent
1 Baloch 32.58
2 S-Indian 31.73
3 NE-Euro 12.26
4 Caucasian 11.7
5 NE-Asian 4.69
6 Mediterranean 2.3
7 American 1.72
8 Siberian 1.36
9 Papuan 1.18
10 W-African 0.3
11 Beringian 0.18
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 6.42
2 kashmiri (harappa) 6.5
3 nepalese-a (xing) 7.79
4 kashmiri-pandit (reich) 7.96
5 punjabi (harappa) 8.25
6 punjabi-jatt-muslim (harappa) 8.52
7 punjabi-khatri (harappa) 8.63
8 punjabi-brahmin (harappa) 8.74
9 punjabi-jatt-sikh (harappa) 9.09
10 singapore-indian-c (sgvp) 9.13
11 gujarati-muslim (harappa) 9.3
12 haryana-jatt (harappa) 9.42
13 kashmiri-pahari (harappa) 9.94
14 punjabi-ramgarhia (harappa) 10.37
15 up-brahmin (harappa) 10.82
16 sindhi (harappa) 10.86
17 burusho (hgdp) 11.65
18 bengali-brahmin (harappa) 12
19 brahmin-uttar-pradesh (metspalu) 12.51
20 punjabi-arain (xing) 12.52
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 53% up-muslim (metspalu) + 47% tajik (yunusbayev) @ 3.02
2 51.3% kanjar (metspalu) + 48.7% tajik (yunusbayev) @ 3.09
3 55.6% srivastava (reich) + 44.4% tajik (yunusbayev) @ 3.26
4 55.2% caribbean-indian (harappa) + 44.8% tajik (yunusbayev) @ 3.39
5 56.5% bihari (harappa) + 43.5% tajik (yunusbayev) @ 3.4
6 52.8% tajik (yunusbayev) + 47.2% lodi (reich) @ 3.46
7 64% vaish (reich) + 36% tajik (yunusbayev) @ 3.48
8 52.1% tharu (metspalu) + 47.9% tajik (yunusbayev) @ 3.5
9 66.6% bihari-muslim (harappa) + 33.4% tajik (yunusbayev) @ 3.51
10 68.4% bengali-brahmin (harappa) + 31.6% tajik (yunusbayev) @ 3.52
11 71.9% brahmin-uttar-pradesh (metspalu) + 28.1% turkmen (yunusbayev) @ 3.53
12 79.7% nepalese-a (xing) + 20.3% romanian-b (behar) @ 3.54
13 89.6% nepalese-a (xing) + 10.4% druze (hgdp) @ 3.55
14 52.2% tajik (yunusbayev) + 47.8% up-scheduled-caste (metspalu) @ 3.57
15 80.2% up-brahmin (harappa) + 19.8% nogai (yunusbayev) @ 3.59
16 77.5% brahmin-uttar-pradesh (metspalu) + 22.5% nogai (yunusbayev) @ 3.6
17 52.5% dharkar (metspalu) + 47.5% tajik (yunusbayev) @ 3.63
18 86.7% nepalese-a (xing) + 13.3% turk-istanbul (hodoglugil) @ 3.67
19 88.6% nepalese-a (xing) + 11.4% armenian (behar) @ 3.69
20 87% nepalese-a (xing) + 13% turk (behar) @ 3.71
Kit QC3476584 (Khatiwada)
# Population Percent
1 S-Indian 35.22
2 Baloch 33.37
3 NE-Euro 16.54
4 Caucasian 5.92
5 NE-Asian 4.39
6 E-African 1.29
7 SE-Asian 1.25
8 American 0.84
9 Pygmy 0.47
10 Siberian 0.32
11 Papuan 0.22
12 Mediterranean 0.18
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 5.85
2 up-brahmin (harappa) 8.36
3 brahmin-uttar-pradesh (metspalu) 9.22
4 bengali-brahmin (harappa) 9.46
5 up-muslim (harappa) 9.87
6 punjabi-brahmin (harappa) 10.3
7 singapore-indian-c (sgvp) 10.32
8 haryana-jatt (harappa) 10.67
9 punjabi (harappa) 11.08
10 kashmiri-pandit (reich) 11.4
11 vaish (reich) 11.42
12 punjabi-ramgarhia (harappa) 11.42
13 punjabi-jatt-sikh (harappa) 11.61
14 bihari-muslim (harappa) 11.66
15 kashmiri-pahari (harappa) 11.81
16 kashmiri (harappa) 12.27
17 punjabi-jatt-muslim (harappa) 12.46
18 punjabi-khatri (harappa) 12.9
19 up-kshatriya (metspalu) 13.09
20 gujarati-b (hapmap) 13.61
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 95.1% nepalese-a (xing) + 4.9% finnish (1000genomes) @ 4.48
2 94.5% nepalese-a (xing) + 5.5% russian (behar) @ 4.63
3 94.9% nepalese-a (xing) + 5.1% lithuanian (behar) @ 4.67
4 94.6% nepalese-a (xing) + 5.4% belorussian (behar) @ 4.68
5 94.5% nepalese-a (xing) + 5.5% ukranian (yunusbayev) @ 4.8
6 94.5% nepalese-a (xing) + 5.5% mordovian (yunusbayev) @ 4.83
7 94.7% nepalese-a (xing) + 5.3% slovenian (xing) @ 4.98
8 94.9% nepalese-a (xing) + 5.1% hungarian (behar) @ 5.07
9 80.5% gujarati (harappa) + 19.5% mordovian (yunusbayev) @ 5.13
10 91.6% up-brahmin (harappa) + 8.4% finnish (1000genomes) @ 5.13
11 95.4% nepalese-a (xing) + 4.6% n-european (xing) @ 5.15
12 93.9% nepalese-a (xing) + 6.1% onge (reich) @ 5.16
13 93.1% nepalese-a (xing) + 6.9% great-andamanese (reich) @ 5.2
14 95.6% nepalese-a (xing) + 4.4% utahn-white (hapmap) @ 5.2
15 95.2% nepalese-a (xing) + 4.8% chuvash (behar) @ 5.22
16 95.1% nepalese-a (xing) + 4.9% kharia (chaubey) @ 5.22
17 79.4% brahmin-tamil-nadu (metspalu) + 20.6% mordovian (yunusbayev) @ 5.24
18 89.7% up-brahmin (harappa) + 10.3% mordovian (yunusbayev) @ 5.25
19 90.2% up-brahmin (harappa) + 9.8% russian (hgdp) @ 5.26
20 95.2% nepalese-a (xing) + 4.8% savara (chaubey) @ 5.26
Kit M216996 (Baral)
# Population Percent
1 Baloch 35.9
2 S-Indian 34.32
3 NE-Euro 14.12
4 Caucasian 5.93
5 NE-Asian 3.78
6 Siberian 2.03
7 SW-Asian 1.28
8 Mediterranean 0.88
9 Beringian 0.83
10 Papuan 0.64
11 American 0.3
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 2.49
2 up-brahmin (harappa) 6.61
3 singapore-indian-c (sgvp) 7.27
4 punjabi-brahmin (harappa) 7.48
5 up-muslim (harappa) 7.74
6 punjabi (harappa) 7.98
7 punjabi-ramgarhia (harappa) 8.07
8 brahmin-uttar-pradesh (metspalu) 8.47
9 kashmiri-pahari (harappa) 8.63
10 kashmiri-pandit (reich) 8.66
11 punjabi-jatt-sikh (harappa) 8.85
12 bengali-brahmin (harappa) 8.96
13 haryana-jatt (harappa) 9.55
14 punjabi-jatt-muslim (harappa) 9.61
15 kashmiri (harappa) 10.08
16 vaish (reich) 10.7
17 punjabi-khatri (harappa) 10.73
18 bihari-muslim (harappa) 10.85
19 gujarati-muslim (harappa) 11.55
20 punjabi-arain (xing) 11.58
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 98% nepalese-a (xing) + 2% finnish (1000genomes) @ 1.96
2 97.8% nepalese-a (xing) + 2.2% russian (behar) @ 2.02
3 97.8% nepalese-a (xing) + 2.2% belorussian (behar) @ 2.04
4 97.7% nepalese-a (xing) + 2.3% ukranian (yunusbayev) @ 2.05
5 98% nepalese-a (xing) + 2% lithuanian (behar) @ 2.07
6 97.7% nepalese-a (xing) + 2.3% mordovian (yunusbayev) @ 2.08
7 97.7% nepalese-a (xing) + 2.3% slovenian (xing) @ 2.09
8 96.2% nepalese-a (xing) + 3.8% romanian-b (behar) @ 2.12
9 97.8% nepalese-a (xing) + 2.2% hungarian (behar) @ 2.12
10 97.7% nepalese-a (xing) + 2.3% bulgarian (yunusbayev) @ 2.13
11 97.6% nepalese-a (xing) + 2.4% romanian-a (behar) @ 2.13
12 98.2% nepalese-a (xing) + 1.8% saudi (behar) @ 2.14
13 98.2% nepalese-a (xing) + 1.8% yemen-jew (behar) @ 2.14
14 98.2% nepalese-a (xing) + 1.8% bedouin (hgdp) @ 2.15
15 97.7% nepalese-a (xing) + 2.3% chuvash (behar) @ 2.15
16 98.1% nepalese-a (xing) + 1.9% qatari (henn2012) @ 2.15
17 98.1% nepalese-a (xing) + 1.9% n-european (xing) @ 2.19
18 97.9% nepalese-a (xing) + 2.1% ashkenazi (harappa) @ 2.21
19 98.1% nepalese-a (xing) + 1.9% utahn-white (hapmap) @ 2.22
20 98.1% nepalese-a (xing) + 1.9% yemenese (behar) @ 2.23
Kit MA8416099 (Lamichhane)
# Population Percent
1 S-Indian 35.37
2 Baloch 33.96
3 Caucasian 10.3
4 NE-Euro 9.03
5 NE-Asian 6.26
6 Beringian 2.19
7 Mediterranean 1.75
8 American 0.94
9 SE-Asian 0.19
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 5.67
2 nepalese-a (xing) 7.55
3 punjabi (harappa) 7.6
4 kashmiri-pandit (reich) 7.94
5 kashmiri (harappa) 7.95
6 punjabi-brahmin (harappa) 8.16
7 singapore-indian-c (sgvp) 8.23
8 kashmiri-pahari (harappa) 8.32
9 gujarati-muslim (harappa) 8.46
10 up-brahmin (harappa) 8.85
11 punjabi-jatt-muslim (harappa) 8.87
12 punjabi-ramgarhia (harappa) 9.14
13 bengali-brahmin (harappa) 9.37
14 bihari-muslim (harappa) 9.78
15 brahmin-uttar-pradesh (metspalu) 10.32
16 punjabi-khatri (harappa) 10.5
17 punjabi-jatt-sikh (harappa) 11.17
18 vaish (reich) 11.66
19 punjabi-arain (xing) 12.02
20 gujarati-b (hapmap) 12.19
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 72.4% punjabi-brahmin (harappa) + 27.6% nepalese-c (xing) @ 3.44
2 73.6% burusho (hgdp) + 26.4% chenchu (reich) @ 3.48
3 80.7% burusho (hgdp) + 19.3% irula (xing) @ 3.56
4 73.5% burusho (hgdp) + 26.5% north-kannadi (chaubey) @ 3.62
5 80.9% burusho (hgdp) + 19.1% pulliyar (metspalu) @ 3.64
6 87.2% punjabi-brahmin (harappa) + 12.8% nepalese-b (xing) @ 3.76
7 73.7% burusho (hgdp) + 26.3% hakkipikki (metspalu) @ 3.85
8 74% burusho (hgdp) + 26% kurumba (reich) @ 3.86
9 81.3% burusho (hgdp) + 18.7% paniya (chaubey) @ 3.91
10 61.6% up-muslim (metspalu) + 38.4% tajik (yunusbayev) @ 3.95
11 82.6% up-muslim (harappa) + 17.4% nepalese-c (xing) @ 3.95
12 75% burusho (hgdp) + 25% ap-mala (xing) @ 4.02
13 73.8% kashmiri-pandit (reich) + 26.2% nepalese-c (xing) @ 4.05
14 66.5% burusho (hgdp) + 33.5% tharu (reich) @ 4.06
15 74.9% burusho (hgdp) + 25.1% tn-dalit (xing) @ 4.11
16 60.6% tharu (metspalu) + 39.4% tajik (yunusbayev) @ 4.16
17 72% burusho (hgdp) + 28% bhil (reich) @ 4.17
18 58.2% burusho (hgdp) + 41.8% sri-lankan (harappa) @ 4.17
19 56.7% burusho (hgdp) + 43.3% caribbean-indian (harappa) @ 4.17
20 75.3% burusho (hgdp) + 24.7% mala (reich) @ 4.17
Kaazi
09-18-2020, 04:38 PM
These samples don't look posted.
Khatri Chhetris
Nepal
Admix Results (sorted):
# Population Percent
1 S-Indian 31.53
2 Baloch 25.48
3 NE-Asian 19.84
4 NE-Euro 8.29
5 Caucasian 6.87
6 Siberian 4.51
7 SW-Asian 1.07
8 American 1
9 SE-Asian 0.85
10 Papuan 0.51
11 Beringian 0.05
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 5.37
2 nepalese-a (xing) 19.32
3 up-muslim (harappa) 19.75
4 burusho (hgdp) 20.31
5 kashmiri (harappa) 20.68
6 bengali-brahmin (harappa) 21.16
7 bengali (harappa) 21.41
8 bihari-muslim (harappa) 21.47
9 gujarati-muslim (harappa) 21.62
10 punjabi (harappa) 22.02
11 kashmiri-pandit (reich) 22.48
12 punjabi-jatt-muslim (harappa) 22.65
13 kashmiri-pahari (harappa) 22.89
14 singapore-indian-c (sgvp) 22.94
15 up-brahmin (harappa) 23.1
16 punjabi-brahmin (harappa) 23.29
17 brahmin-uttar-pradesh (metspalu) 23.51
18 punjabi-ramgarhia (harappa) 23.6
19 punjabi-jatt-sikh (harappa) 23.74
20 punjabi-khatri (harappa) 23.74
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 84.6% nepalese-c (xing) + 15.4% haryana-jatt (harappa) @ 3.2
2 85.5% nepalese-c (xing) + 14.5% pashtun (harappa) @ 3.24
3 85% nepalese-c (xing) + 15% punjabi-khatri (harappa) @ 3.42
4 59.4% punjabi-brahmin (harappa) + 40.6% nepalese-b (xing) @ 3.43
5 85.1% nepalese-c (xing) + 14.9% punjabi-jatt-sikh (harappa) @ 3.46
6 86.2% nepalese-c (xing) + 13.8% pathan (hgdp) @ 3.47
7 83.4% nepalese-c (xing) + 16.6% kashmiri (harappa) @ 3.51
8 85.5% nepalese-c (xing) + 14.5% sindhi (harappa) @ 3.56
9 63.4% up-muslim (harappa) + 36.6% nepalese-b (xing) @ 3.59
10 82.6% nepalese-c (xing) + 17.4% nepalese-a (xing) @ 3.6
11 63.9% nepalese-a (xing) + 36.1% nepalese-b (xing) @ 3.62
12 83.1% nepalese-c (xing) + 16.9% up-muslim (harappa) @ 3.63
13 87.7% nepalese-c (xing) + 12.3% kalash (hgdp) @ 3.64
14 84.9% nepalese-c (xing) + 15.1% kashmiri-pandit (reich) @ 3.65
15 60.8% punjabi (harappa) + 39.2% nepalese-b (xing) @ 3.65
16 60.3% kashmiri-pandit (reich) + 39.7% nepalese-b (xing) @ 3.66
17 73.9% up-brahmin (harappa) + 26.1% tibet (simonson) @ 3.68
18 85.1% nepalese-c (xing) + 14.9% punjabi-jatt-muslim (harappa) @ 3.68
19 88.6% nepalese-c (xing) + 11.4% tajik (yunusbayev) @ 3.71
20 84.9% nepalese-c (xing) + 15.1% punjabi (harappa) @ 3.75
Bhandari
Admix Results (sorted):
# Population Percent
1 S-Indian 32.7
2 Baloch 26.32
3 NE-Asian 18.68
4 NE-Euro 6.59
5 Caucasian 4.95
6 Siberian 4.53
7 SE-Asian 2.06
8 Mediterranean 2.04
9 Beringian 1.78
10 Papuan 0.25
11 SW-Asian 0.1
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 6.01
2 nepalese-a (xing) 18.43
3 up-muslim (harappa) 18.8
4 bengali (harappa) 19.18
5 bengali-brahmin (harappa) 19.55
6 bihari-muslim (harappa) 19.85
7 burusho (hgdp) 20.39
8 kashmiri (harappa) 20.47
9 gujarati-muslim (harappa) 20.88
10 punjabi (harappa) 21.24
11 up-brahmin (harappa) 21.79
12 kashmiri-pandit (reich) 21.83
13 kashmiri-pahari (harappa) 21.89
14 punjabi-jatt-muslim (harappa) 21.95
15 singapore-indian-c (sgvp) 22.03
16 brahmin-uttar-pradesh (metspalu) 22.13
17 vaish (reich) 22.33
18 cochin-jew (behar) 22.34
19 punjabi-ramgarhia (harappa) 22.46
20 punjabi-brahmin (harappa) 22.5
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 75.8% bihari-muslim (harappa) + 24.2% tu (hgdp) @ 2.44
2 77.3% bengali-brahmin (harappa) + 22.7% tibet (simonson) @ 2.67
3 76.9% bihari-muslim (harappa) + 23.1% japanese (hgdp) @ 2.71
4 73.1% vaish (reich) + 26.9% xibo (hgdp) @ 2.82
5 76.2% bengali-brahmin (harappa) + 23.8% tu (hgdp) @ 2.86
6 72.5% up-kshatriya (metspalu) + 27.5% xibo (hgdp) @ 2.92
7 77.1% bihari-muslim (harappa) + 22.9% tibet (simonson) @ 2.94
8 73% up-kshatriya (metspalu) + 27% tu (hgdp) @ 2.97
9 75.4% bihari-muslim (harappa) + 24.6% xibo (hgdp) @ 3.02
10 74.8% vaish (reich) + 25.2% japanese (hgdp) @ 3.14
11 78.3% bengali-brahmin (harappa) + 21.7% naga (metspalu) @ 3.14
12 73.6% vaish (reich) + 26.4% tu (hgdp) @ 3.15
13 72.9% karnataka-brahmin (harappa) + 27.1% xibo (hgdp) @ 3.16
14 77.3% bengali-brahmin (harappa) + 22.7% japanese (hgdp) @ 3.17
15 78.1% bengali-brahmin (harappa) + 21.9% nysha (reich) @ 3.17
16 75.7% bengali-brahmin (harappa) + 24.3% xibo (hgdp) @ 3.18
17 74.2% up-kshatriya (metspalu) + 25.8% japanese (hgdp) @ 3.23
18 78.1% bihari-muslim (harappa) + 21.9% naga (metspalu) @ 3.25
19 77.6% bihari-muslim (harappa) + 22.4% han-nchina (hgdp) @ 3.27
20 78.6% bengali-brahmin (harappa) + 21.4% aonaga (reich) @ 3.29
Jharra Chhetri
Kunwar
Admix Results (sorted):
# Population Percent
1 S-Indian 34.75
2 Baloch 30.47
3 NE-Euro 11.86
4 NE-Asian 11.4
5 Caucasian 4.64
6 Siberian 2.17
7 Mediterranean 1.74
8 SE-Asian 1.07
9 Beringian 0.91
10 American 0.73
11 Papuan 0.24
12 Pygmy 0.03
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 9.67
2 bengali-brahmin (harappa) 11.71
3 up-muslim (harappa) 11.91
4 bihari-muslim (harappa) 12.95
5 up-brahmin (harappa) 13.09
6 brahmin-uttar-pradesh (metspalu) 13.49
7 nepalese-c (xing) 14.19
8 punjabi (harappa) 14.2
9 singapore-indian-c (sgvp) 14.29
10 vaish (reich) 14.4
11 kashmiri (harappa) 14.46
12 punjabi-brahmin (harappa) 14.67
13 kashmiri-pahari (harappa) 14.73
14 kashmiri-pandit (reich) 14.81
15 punjabi-ramgarhia (harappa) 14.92
16 gujarati-muslim (harappa) 15.44
17 punjabi-jatt-muslim (harappa) 15.45
18 up-kshatriya (metspalu) 15.53
19 bengali (harappa) 15.67
20 karnataka-brahmin (harappa) 15.75
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 84% brahmin-uttar-pradesh (metspalu) + 16% tu (hgdp) @ 2.05
2 84.5% up-brahmin (harappa) + 15.5% tu (hgdp) @ 2.35
3 84.8% brahmin-uttar-pradesh (metspalu) + 15.2% japanese (hgdp) @ 2.35
4 85.3% up-brahmin (harappa) + 14.7% tibet (simonson) @ 2.41
5 85.9% up-brahmin (harappa) + 14.1% naga (metspalu) @ 2.47
6 85.7% up-brahmin (harappa) + 14.3% nysha (reich) @ 2.48
7 85.2% brahmin-uttar-pradesh (metspalu) + 14.8% han-nchina (hgdp) @ 2.49
8 86% up-brahmin (harappa) + 14% aonaga (reich) @ 2.52
9 83.8% brahmin-uttar-pradesh (metspalu) + 16.2% xibo (hgdp) @ 2.52
10 84.9% brahmin-uttar-pradesh (metspalu) + 15.1% tibet (simonson) @ 2.63
11 85.3% up-brahmin (harappa) + 14.7% japanese (hgdp) @ 2.63
12 85.6% up-brahmin (harappa) + 14.4% han-nchina (hgdp) @ 2.69
13 77.3% up-brahmin (harappa) + 22.7% nepalese-b (xing) @ 2.74
14 85.6% brahmin-uttar-pradesh (metspalu) + 14.4% naga (metspalu) @ 2.75
15 84.9% up-brahmin (harappa) + 15.1% naxi (hgdp) @ 2.78
16 85.7% brahmin-uttar-pradesh (metspalu) + 14.3% aonaga (reich) @ 2.87
17 84.5% brahmin-uttar-pradesh (metspalu) + 15.5% naxi (hgdp) @ 2.87
18 85.4% brahmin-uttar-pradesh (metspalu) + 14.6% nysha (reich) @ 2.88
19 85% up-brahmin (harappa) + 15% yi (hgdp) @ 2.92
20 83.5% brahmin-uttar-pradesh (metspalu) + 16.5% mongola (hgdp) @ 2.94
Nepali Brahmins/Bahuns
Bajgain
Admix Results (sorted):
# Population Percent
1 S-Indian 33.34
2 Baloch 32.33
3 NE-Euro 13.45
4 Caucasian 7.56
5 SE-Asian 3.17
6 Mediterranean 3.03
7 NE-Asian 2.55
8 American 2.42
9 Siberian 1.91
10 W-African 0.25
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 6.45
2 up-muslim (harappa) 6.95
3 up-brahmin (harappa) 8.86
4 bengali-brahmin (harappa) 9.32
5 punjabi-brahmin (harappa) 9.34
6 singapore-indian-c (sgvp) 9.41
7 punjabi (harappa) 9.45
8 haryana-jatt (harappa) 9.59
9 kashmiri-pandit (reich) 9.62
10 punjabi-jatt-sikh (harappa) 9.93
11 kashmiri (harappa) 9.94
12 brahmin-uttar-pradesh (metspalu) 10.01
13 punjabi-ramgarhia (harappa) 10.3
14 punjabi-jatt-muslim (harappa) 10.33
15 kashmiri-pahari (harappa) 10.78
16 punjabi-khatri (harappa) 11.04
17 bihari-muslim (harappa) 11.2
18 gujarati-muslim (harappa) 11.4
19 vaish (reich) 12.1
20 punjabi-arain (xing) 13.28
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 64.7% haryana-jatt (harappa) + 35.3% bengali (harappa) @ 2.86
2 80.8% haryana-jatt (harappa) + 19.2% sahariya (reich) @ 3.41
3 83.8% haryana-jatt (harappa) + 16.2% asur (chaubey) @ 3.47
4 84.2% haryana-jatt (harappa) + 15.8% santhal (reich) @ 3.49
5 76.3% bengali-brahmin (harappa) + 23.7% tajik (yunusbayev) @ 3.57
6 84.8% haryana-jatt (harappa) + 15.2% ho (chaubey) @ 3.57
7 84.9% haryana-jatt (harappa) + 15.1% savara (chaubey) @ 3.59
8 78.1% haryana-jatt (harappa) + 21.9% satnami (reich) @ 3.69
9 84.9% haryana-jatt (harappa) + 15.1% kharia (chaubey) @ 3.7
10 79.9% haryana-jatt (harappa) + 20.1% gond (metspalu) @ 3.76
11 82.8% haryana-jatt (harappa) + 17.2% nihali (metspalu) @ 3.77
12 74.8% haryana-jatt (harappa) + 25.2% tharu (reich) @ 3.85
13 85.1% nepalese-a (xing) + 14.9% romanian-b (behar) @ 3.97
14 80.8% haryana-jatt (harappa) + 19.2% chenchu (reich) @ 4.03
15 85.3% haryana-jatt (harappa) + 14.7% bonda (chaubey) @ 4.04
16 85.2% haryana-jatt (harappa) + 14.8% juang (chaubey) @ 4.05
17 68.3% haryana-jatt (harappa) + 31.7% sri-lankan (harappa) @ 4.2
18 75.3% brahmin-uttar-pradesh (metspalu) + 24.7% tajik (yunusbayev) @ 4.27
19 50.9% bengali-brahmin (harappa) + 49.1% haryana-jatt (harappa) @ 4.31
20 86.8% haryana-jatt (harappa) + 13.2% paniya (chaubey) @ 4.35
Tripathi
Admix Results (sorted):
# Population Percent
1 S-Indian 33.76
2 Baloch 31.98
3 NE-Euro 14.4
4 Caucasian 7.03
5 NE-Asian 4.43
6 Mediterranean 2.66
7 Siberian 1.75
8 SE-Asian 1.08
9 Papuan 0.99
10 American 0.9
11 Beringian 0.89
12 E-African 0.11
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 5.78
2 up-muslim (harappa) 7.7
3 up-brahmin (harappa) 8.71
4 bengali-brahmin (harappa) 9.29
5 haryana-jatt (harappa) 9.85
6 punjabi-brahmin (harappa) 9.87
7 singapore-indian-c (sgvp) 9.91
8 brahmin-uttar-pradesh (metspalu) 9.93
9 punjabi (harappa) 9.99
10 kashmiri-pandit (reich) 10.32
11 kashmiri (harappa) 10.52
12 punjabi-jatt-sikh (harappa) 10.58
13 punjabi-ramgarhia (harappa) 10.83
14 punjabi-jatt-muslim (harappa) 10.89
15 kashmiri-pahari (harappa) 11.15
16 bihari-muslim (harappa) 11.21
17 punjabi-khatri (harappa) 11.81
18 vaish (reich) 11.89
19 gujarati-muslim (harappa) 12.15
20 up-kshatriya (metspalu) 13.42
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 79.7% brahmin-uttar-pradesh (metspalu) + 20.3% uzbek (behar) @ 3.25
2 64.4% haryana-jatt (harappa) + 35.6% bengali (harappa) @ 3.42
3 86.4% nepalese-a (xing) + 13.6% romanian-b (behar) @ 3.46
4 83.5% up-brahmin (harappa) + 16.5% uyghur (hgdp) @ 3.56
5 81.2% brahmin-uttar-pradesh (metspalu) + 18.8% uyghur (hgdp) @ 3.57
6 82.4% up-brahmin (harappa) + 17.6% uzbek (behar) @ 3.71
7 76.6% bengali-brahmin (harappa) + 23.4% tajik (yunusbayev) @ 3.77
8 92.2% nepalese-a (xing) + 7.8% bulgarian (yunusbayev) @ 3.82
9 92% nepalese-a (xing) + 8% romanian-a (behar) @ 3.84
10 92.8% nepalese-a (xing) + 7.2% italian (hgdp) @ 3.98
11 92.6% nepalese-a (xing) + 7.4% tuscan (1000genomes) @ 3.99
12 92.6% nepalese-a (xing) + 7.4% ashkenazi (harappa) @ 4.06
13 92.9% nepalese-a (xing) + 7.1% slovenian (xing) @ 4.07
14 92.9% nepalese-a (xing) + 7.1% hungarian (behar) @ 4.1
15 86.5% up-brahmin (harappa) + 13.5% kazakh (harappa) @ 4.16
16 92.8% nepalese-a (xing) + 7.2% ashkenazy-jew (behar) @ 4.22
17 86.2% haryana-jatt (harappa) + 13.8% paniya (chaubey) @ 4.23
18 80.4% haryana-jatt (harappa) + 19.6% chenchu (reich) @ 4.24
19 83.2% brahmin-uttar-pradesh (metspalu) + 16.8% nogai (yunusbayev) @ 4.25
20 93.6% nepalese-a (xing) + 6.4% spaniard (1000genomes) @ 4.26
Kandel
Admix Results (sorted):
# Population Percent
1 S-Indian 34.43
2 Baloch 32.46
3 NE-Euro 11.09
4 Caucasian 9.55
5 NE-Asian 4.36
6 SW-Asian 2.23
7 Mediterranean 2.13
8 Beringian 1.63
9 American 1.3
10 Siberian 0.41
11 Papuan 0.39
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 4.62
2 nepalese-a (xing) 6.94
3 punjabi (harappa) 7.56
4 kashmiri (harappa) 7.96
5 punjabi-brahmin (harappa) 8.22
6 kashmiri-pandit (reich) 8.23
7 singapore-indian-c (sgvp) 8.38
8 up-brahmin (harappa) 8.41
9 gujarati-muslim (harappa) 8.47
10 punjabi-jatt-muslim (harappa) 8.5
11 bengali-brahmin (harappa) 9.02
12 kashmiri-pahari (harappa) 9.08
13 punjabi-ramgarhia (harappa) 9.47
14 punjabi-khatri (harappa) 9.8
15 brahmin-uttar-pradesh (metspalu) 9.91
16 bihari-muslim (harappa) 10.02
17 punjabi-jatt-sikh (harappa) 10.04
18 haryana-jatt (harappa) 11.2
19 vaish (reich) 11.46
20 sindhi (harappa) 11.96
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 59.6% up-muslim (metspalu) + 40.4% tajik (yunusbayev) @ 2.88
2 57.7% kanjar (metspalu) + 42.3% tajik (yunusbayev) @ 2.89
3 72.8% nepalese-a (xing) + 27.2% bene-israel-jew (behar) @ 3.32
4 63.6% bihari (harappa) + 36.4% tajik (yunusbayev) @ 3.33
5 59.2% dharkar (metspalu) + 40.8% tajik (yunusbayev) @ 3.35
6 75.3% vaish (reich) + 24.7% turkmen (yunusbayev) @ 3.37
7 53.8% up-scheduled-caste (metspalu) + 46.2% tajik (yunusbayev) @ 3.42
8 77% bengali-brahmin (harappa) + 23% tajik (yunusbayev) @ 3.44
9 78.2% brahmin-uttar-pradesh (metspalu) + 21.8% turkmen (yunusbayev) @ 3.44
10 58.6% tharu (metspalu) + 41.4% tajik (yunusbayev) @ 3.48
11 53.1% lodi (reich) + 46.9% tajik (yunusbayev) @ 3.5
12 74.9% bihari-muslim (harappa) + 25.1% tajik (yunusbayev) @ 3.53
13 80.1% bengali-brahmin (harappa) + 19.9% turkmen (yunusbayev) @ 3.55
14 62% caribbean-indian (harappa) + 38% tajik (yunusbayev) @ 3.55
15 96.3% up-muslim (harappa) + 3.7% finnish (1000genomes) @ 3.56
16 72% vaish (reich) + 28% tajik (yunusbayev) @ 3.62
17 96% up-muslim (harappa) + 4% lithuanian (behar) @ 3.63
18 88% up-muslim (harappa) + 12% nepalese-c (xing) @ 3.66
19 52.2% dusadh (metspalu) + 47.8% tajik (yunusbayev) @ 3.68
20 95.8% up-muslim (harappa) + 4.2% belorussian (behar) @ 3.7
Prasai
Admix Results (sorted):
# Population Percent
1 S-Indian 34.76
2 Baloch 32.4
3 NE-Euro 12.45
4 Caucasian 9.1
5 SE-Asian 4.15
6 Siberian 1.98
7 Papuan 1.97
8 Mediterranean 1.24
9 American 0.75
10 Beringian 0.62
11 SW-Asian 0.59
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 5.93
2 nepalese-a (xing) 7.87
3 up-brahmin (harappa) 7.94
4 bengali-brahmin (harappa) 8.54
5 punjabi (harappa) 8.57
6 punjabi-brahmin (harappa) 8.9
7 kashmiri-pandit (reich) 8.93
8 punjabi-jatt-muslim (harappa) 9.04
9 singapore-indian-c (sgvp) 9.07
10 brahmin-uttar-pradesh (metspalu) 9.41
11 kashmiri (harappa) 9.77
12 punjabi-ramgarhia (harappa) 9.96
13 bihari-muslim (harappa) 10.01
14 gujarati-muslim (harappa) 10.18
15 punjabi-jatt-sikh (harappa) 10.21
16 kashmiri-pahari (harappa) 10.49
17 punjabi-khatri (harappa) 10.52
18 haryana-jatt (harappa) 10.94
19 vaish (reich) 11.25
20 up-kshatriya (metspalu) 12.46
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 83.1% punjabi-jatt-sikh (harappa) + 16.9% savara (chaubey) @ 2.61
2 83.1% punjabi-jatt-sikh (harappa) + 16.9% kharia (chaubey) @ 2.72
3 83.1% punjabi-jatt-sikh (harappa) + 16.9% ho (chaubey) @ 2.74
4 83.4% punjabi-jatt-sikh (harappa) + 16.6% juang (chaubey) @ 3.13
5 78.9% punjabi-jatt-sikh (harappa) + 21.1% sahariya (reich) @ 3.17
6 83.5% punjabi-jatt-sikh (harappa) + 16.5% bonda (chaubey) @ 3.2
7 82.7% punjabi-jatt-sikh (harappa) + 17.3% santhal (reich) @ 3.24
8 82.4% punjabi-jatt-sikh (harappa) + 17.6% asur (chaubey) @ 3.38
9 85.2% bengali-brahmin (harappa) + 14.8% urkarah (xing) @ 3.4
10 81.2% haryana-jatt (harappa) + 18.8% asur (chaubey) @ 3.4
11 84.8% bengali-brahmin (harappa) + 15.2% stalskoe (xing) @ 3.45
12 81.6% haryana-jatt (harappa) + 18.4% santhal (reich) @ 3.46
13 77.8% haryana-jatt (harappa) + 22.2% sahariya (reich) @ 3.47
14 82.3% haryana-jatt (harappa) + 17.7% ho (chaubey) @ 3.47
15 82.4% haryana-jatt (harappa) + 17.6% savara (chaubey) @ 3.53
16 82.5% haryana-jatt (harappa) + 17.5% kharia (reich) @ 3.61
17 76.6% haryana-jatt (harappa) + 23.4% gond (metspalu) @ 3.66
18 82.4% haryana-jatt (harappa) + 17.6% kharia (chaubey) @ 3.71
19 85.9% bengali-brahmin (harappa) + 14.1% lezgin (behar) @ 3.73
20 70.6% haryana-jatt (harappa) + 29.4% tharu (reich) @ 3.75
Oli
Admix Results (sorted):
# Population Percent
1 S-Indian 35.19
2 Baloch 34.7
3 NE-Euro 11.44
4 NE-Asian 7.86
5 Caucasian 7.75
6 Siberian 1.85
7 American 0.47
8 Papuan 0.4
9 SE-Asian 0.27
10 SW-Asian 0.07
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 5.38
2 up-muslim (harappa) 8.01
3 singapore-indian-c (sgvp) 8.94
4 up-brahmin (harappa) 8.99
5 punjabi (harappa) 9.01
6 punjabi-brahmin (harappa) 9.23
7 kashmiri-pahari (harappa) 9.43
8 kashmiri-pandit (reich) 9.44
9 bengali-brahmin (harappa) 9.51
10 punjabi-ramgarhia (harappa) 9.75
11 kashmiri (harappa) 9.81
12 brahmin-uttar-pradesh (metspalu) 10.19
13 bihari-muslim (harappa) 10.48
14 punjabi-jatt-muslim (harappa) 10.75
15 gujarati-muslim (harappa) 11.22
16 punjabi-jatt-sikh (harappa) 11.53
17 vaish (reich) 11.71
18 punjabi-khatri (harappa) 12.03
19 gujarati-b (hapmap) 12.57
20 up-kshatriya (metspalu) 12.58
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 80% nepalese-a (xing) + 20% nepalese-c (xing) @ 2.82
2 89.9% up-brahmin (harappa) + 10.1% tu (hgdp) @ 3.24
3 92.1% up-brahmin (harappa) + 7.9% japanese (1000genomes) @ 3.29
4 91.9% nepalese-a (xing) + 8.1% nepalese-b (xing) @ 3.31
5 90.9% up-brahmin (harappa) + 9.1% aonaga (reich) @ 3.32
6 90.8% up-brahmin (harappa) + 9.2% naga (metspalu) @ 3.33
7 90.7% up-brahmin (harappa) + 9.3% nysha (reich) @ 3.33
8 90.4% up-brahmin (harappa) + 9.6% tibet (simonson) @ 3.33
9 90.7% up-brahmin (harappa) + 9.3% han-nchina (hgdp) @ 3.4
10 89.8% up-brahmin (harappa) + 10.2% xibo (hgdp) @ 3.5
11 68.2% punjabi-brahmin (harappa) + 31.8% nepalese-c (xing) @ 3.52
12 90.3% up-brahmin (harappa) + 9.7% naxi (hgdp) @ 3.67
13 95.4% nepalese-a (xing) + 4.6% nysha (reich) @ 3.69
14 95.5% nepalese-a (xing) + 4.5% aonaga (reich) @ 3.7
15 89.7% up-brahmin (harappa) + 10.3% mongola (hgdp) @ 3.72
16 90.4% up-brahmin (harappa) + 9.6% yi (hgdp) @ 3.72
17 95.5% nepalese-a (xing) + 4.5% naga (metspalu) @ 3.72
18 96.2% nepalese-a (xing) + 3.8% japanese (1000genomes) @ 3.72
19 90.8% up-brahmin (harappa) + 9.2% chinese-beijing (1000genomes) @ 3.73
20 95.3% nepalese-a (xing) + 4.7% tibet (simonson) @ 3.75
Neupane
Admix Results (sorted):
# Population Percent
1 Baloch 35.34
2 S-Indian 34.76
3 NE-Euro 11.31
4 Caucasian 6.1
5 NE-Asian 4.4
6 Siberian 2.92
7 Mediterranean 2.83
8 American 1.47
9 SW-Asian 0.7
10 Beringian 0.17
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 3.37
2 up-muslim (harappa) 6.39
3 up-brahmin (harappa) 6.87
4 singapore-indian-c (sgvp) 7.3
5 punjabi-ramgarhia (harappa) 7.54
6 punjabi-brahmin (harappa) 7.64
7 punjabi (harappa) 7.7
8 kashmiri-pahari (harappa) 8.05
9 bengali-brahmin (harappa) 8.07
10 brahmin-uttar-pradesh (metspalu) 8.3
11 kashmiri-pandit (reich) 8.36
12 kashmiri (harappa) 9.53
13 bihari-muslim (harappa) 9.54
14 punjabi-jatt-sikh (harappa) 9.56
15 punjabi-jatt-muslim (harappa) 9.59
16 vaish (reich) 10.11
17 gujarati-muslim (harappa) 10.4
18 up-kshatriya (metspalu) 10.96
19 haryana-jatt (harappa) 11.02
20 gujarati-b (hapmap) 11.1
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 89.9% nepalese-a (xing) + 10.1% bene-israel-jew (behar) @ 2.5
2 86.2% up-brahmin (harappa) + 13.8% hazara (hgdp) @ 2.51
3 87.1% nepalese-a (xing) + 12.9% cochin-jew (behar) @ 2.57
4 86.8% up-brahmin (harappa) + 13.2% uyghur (hgdp) @ 2.65
5 89.6% nepalese-a (xing) + 10.4% sri-lankan (harappa) @ 2.66
6 73.9% nepalese-a (xing) + 26.1% up-muslim (harappa) @ 2.67
7 97.2% nepalese-a (xing) + 2.8% tunisia (henn2012) @ 2.68
8 97.1% nepalese-a (xing) + 2.9% morocco-n (henn2012) @ 2.71
9 97.3% nepalese-a (xing) + 2.7% sardinian (hgdp) @ 2.71
10 96.6% nepalese-a (xing) + 3.4% pulliyar (metspalu) @ 2.74
11 96.6% nepalese-a (xing) + 3.4% irula (xing) @ 2.74
12 97.1% nepalese-a (xing) + 2.9% algeria (henn2012) @ 2.76
13 97.2% nepalese-a (xing) + 2.8% mozabite (hgdp) @ 2.77
14 94.4% nepalese-a (xing) + 5.6% romanian-b (behar) @ 2.77
15 97.1% nepalese-a (xing) + 2.9% moroccan (behar) @ 2.78
16 97.3% nepalese-a (xing) + 2.7% saharawi (henn2012) @ 2.78
17 96.8% nepalese-a (xing) + 3.2% paniya (chaubey) @ 2.81
18 89.9% nepalese-a (xing) + 10.1% bengali (harappa) @ 2.82
19 83.6% brahmin-uttar-pradesh (metspalu) + 16.4% hazara (hgdp) @ 2.82
20 97.2% nepalese-a (xing) + 2.8% libya (henn2012) @ 2.83
Sharma
Admix Results (sorted):
# Population Percent
1 S-Indian 35.05
2 Baloch 31.24
3 NE-Euro 15.55
4 NE-Asian 6.3
5 Caucasian 5.91
6 Mediterranean 2.24
7 SW-Asian 1.2
8 American 1.03
9 Papuan 0.58
10 Beringian 0.53
11 SE-Asian 0.38
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 7.25
2 bengali-brahmin (harappa) 9.71
3 up-muslim (harappa) 9.72
4 up-brahmin (harappa) 9.72
5 brahmin-uttar-pradesh (metspalu) 10.32
6 singapore-indian-c (sgvp) 11.65
7 bihari-muslim (harappa) 11.72
8 haryana-jatt (harappa) 11.74
9 punjabi-brahmin (harappa) 11.74
10 punjabi (harappa) 11.97
11 vaish (reich) 12
12 kashmiri-pandit (reich) 12.52
13 kashmiri (harappa) 12.63
14 punjabi-ramgarhia (harappa) 12.67
15 kashmiri-pahari (harappa) 12.78
16 punjabi-jatt-sikh (harappa) 12.78
17 punjabi-jatt-muslim (harappa) 13.13
18 up-kshatriya (metspalu) 13.81
19 punjabi-khatri (harappa) 13.88
20 gujarati-muslim (harappa) 13.94
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 81.6% brahmin-uttar-pradesh (metspalu) + 18.4% uyghur (hgdp) @ 4.88
2 81.1% brahmin-uttar-pradesh (metspalu) + 18.9% uzbek (behar) @ 5.46
3 87.7% bengali-brahmin (harappa) + 12.3% ukranian (yunusbayev) @ 5.54
4 88.4% bengali-brahmin (harappa) + 11.6% belorussian (behar) @ 5.56
5 87.7% bengali-brahmin (harappa) + 12.3% mordovian (yunusbayev) @ 5.57
6 78.8% brahmin-tamil-nadu (metspalu) + 21.2% mordovian (yunusbayev) @ 5.57
7 88.4% bengali-brahmin (harappa) + 11.6% russian (behar) @ 5.62
8 90.5% up-brahmin (harappa) + 9.5% tu (hgdp) @ 5.63
9 76.6% kerala-nair (harappa) + 23.4% mordovian (yunusbayev) @ 5.67
10 79.9% gujarati (harappa) + 20.1% ukranian (yunusbayev) @ 5.68
11 83.6% up-brahmin (harappa) + 16.4% uyghur (hgdp) @ 5.69
12 79.9% brahmin-tamil-nadu (metspalu) + 20.1% belorussian (behar) @ 5.69
13 89.2% bengali-brahmin (harappa) + 10.8% lithuanian (behar) @ 5.7
14 91.2% up-brahmin (harappa) + 8.8% han-nchina (hgdp) @ 5.7
15 79.9% gujarati (harappa) + 20.1% mordovian (yunusbayev) @ 5.71
16 79.6% brahmin-tamil-nadu (metspalu) + 20.4% russian (hgdp) @ 5.71
17 78.9% brahmin-tamil-nadu (metspalu) + 21.1% ukranian (yunusbayev) @ 5.71
18 87.4% bengali-brahmin (harappa) + 12.6% slovenian (xing) @ 5.73
19 80.9% gujarati (harappa) + 19.1% russian (behar) @ 5.73
20 77.8% kerala-nair (harappa) + 22.2% russian (behar) @ 5.75
Mainali
Admix Results (sorted):
# Population Percent
1 S-Indian 34.96
2 Baloch 34.17
3 NE-Euro 10.67
4 Caucasian 9.29
5 NE-Asian 5.13
6 American 1.62
7 Siberian 1.62
8 Beringian 0.94
9 SE-Asian 0.56
10 Mediterranean 0.56
11 Papuan 0.47
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 5.18
2 nepalese-a (xing) 5.37
3 punjabi (harappa) 6.92
4 kashmiri-pandit (reich) 7.2
5 punjabi-brahmin (harappa) 7.27
6 singapore-indian-c (sgvp) 7.4
7 kashmiri (harappa) 7.63
8 up-brahmin (harappa) 7.7
9 kashmiri-pahari (harappa) 8.05
10 punjabi-ramgarhia (harappa) 8.36
11 punjabi-jatt-muslim (harappa) 8.43
12 bengali-brahmin (harappa) 8.57
13 gujarati-muslim (harappa) 8.9
14 brahmin-uttar-pradesh (metspalu) 9.27
15 bihari-muslim (harappa) 9.45
16 punjabi-khatri (harappa) 9.82
17 punjabi-jatt-sikh (harappa) 9.93
18 vaish (reich) 11.02
19 punjabi-arain (xing) 11.55
20 haryana-jatt (harappa) 11.61
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 74.3% burusho (hgdp) + 25.7% chenchu (reich) @ 2.47
2 58.9% kanjar (metspalu) + 41.1% tajik (yunusbayev) @ 3.03
3 85.3% up-brahmin (harappa) + 14.7% uyghur (hgdp) @ 3.11
4 60.8% up-muslim (metspalu) + 39.2% tajik (yunusbayev) @ 3.14
5 60.7% bengali-brahmin (harappa) + 39.3% burusho (hgdp) @ 3.18
6 67.4% burusho (hgdp) + 32.6% tharu (reich) @ 3.21
7 81.9% burusho (hgdp) + 18.1% paniya (chaubey) @ 3.21
8 80.8% nepalese-a (xing) + 19.2% bene-israel-jew (behar) @ 3.23
9 75.7% punjabi-brahmin (harappa) + 24.3% nepalese-c (xing) @ 3.23
10 74.5% burusho (hgdp) + 25.5% north-kannadi (chaubey) @ 3.24
11 58.1% bihari-muslim (harappa) + 41.9% burusho (hgdp) @ 3.24
12 59.9% tharu (metspalu) + 40.1% tajik (yunusbayev) @ 3.35
13 57.9% burusho (hgdp) + 42.1% caribbean-indian (harappa) @ 3.37
14 85.1% up-brahmin (harappa) + 14.9% hazara (hgdp) @ 3.37
15 75.7% burusho (hgdp) + 24.3% ap-mala (xing) @ 3.38
16 74.9% burusho (hgdp) + 25.1% kurumba (reich) @ 3.39
17 72.8% burusho (hgdp) + 27.2% bhil (reich) @ 3.42
18 81.6% burusho (hgdp) + 18.4% pulliyar (metspalu) @ 3.43
19 66.3% ap-brahmin (xing) + 33.7% tajik (yunusbayev) @ 3.43
20 74.7% burusho (hgdp) + 25.3% hakkipikki (metspalu) @ 3.44
Paudel
Admix Results (sorted):
# Population Percent
1 Baloch 35.52
2 S-Indian 34.76
3 NE-Euro 12.99
4 Caucasian 4.38
5 Mediterranean 3.76
6 NE-Asian 2.42
7 Siberian 1.72
8 Beringian 1.59
9 American 1.25
10 Papuan 0.96
11 W-African 0.34
12 SE-Asian 0.3
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 4
2 up-brahmin (harappa) 5.94
3 brahmin-uttar-pradesh (metspalu) 7.53
4 up-muslim (harappa) 7.7
5 singapore-indian-c (sgvp) 7.84
6 bengali-brahmin (harappa) 7.91
7 punjabi-ramgarhia (harappa) 8.07
8 punjabi-brahmin (harappa) 8.12
9 punjabi (harappa) 8.77
10 kashmiri-pahari (harappa) 9.03
11 kashmiri-pandit (reich) 9.48
12 punjabi-jatt-sikh (harappa) 9.55
13 vaish (reich) 9.65
14 haryana-jatt (harappa) 10.05
15 bihari-muslim (harappa) 10.14
16 punjabi-jatt-muslim (harappa) 10.24
17 up-kshatriya (metspalu) 10.85
18 gujarati-b (hapmap) 11.15
19 kashmiri (harappa) 11.17
20 punjabi-arain (xing) 11.79
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 96.4% nepalese-a (xing) + 3.6% basque (hgdp) @ 3.11
2 56.8% bengali-brahmin (harappa) + 43.2% haryana-jatt (harappa) @ 3.11
3 96.4% nepalese-a (xing) + 3.6% spain-basc (henn2012) @ 3.12
4 65.5% haryana-jatt (harappa) + 34.5% dharkar (metspalu) @ 3.2
5 96.8% nepalese-a (xing) + 3.2% sardinian (hgdp) @ 3.22
6 96.8% nepalese-a (xing) + 3.2% tunisia (henn2012) @ 3.25
7 67.1% haryana-jatt (harappa) + 32.9% kanjar (metspalu) @ 3.26
8 96% nepalese-a (xing) + 4% puerto-rican (1000genomes) @ 3.28
9 96.3% nepalese-a (xing) + 3.7% spaniard (1000genomes) @ 3.29
10 96.8% nepalese-a (xing) + 3.2% morocco-n (henn2012) @ 3.31
11 96.3% nepalese-a (xing) + 3.7% colombian (1000genomes) @ 3.34
12 71.3% haryana-jatt (harappa) + 28.7% up-scheduled-caste (metspalu) @ 3.41
13 97% nepalese-a (xing) + 3% morocco-s (henn2012) @ 3.43
14 61.5% haryana-jatt (harappa) + 38.5% up (harappa) @ 3.43
15 97% nepalese-a (xing) + 3% mozabite (hgdp) @ 3.43
16 96.9% nepalese-a (xing) + 3.1% algeria (henn2012) @ 3.44
17 91.8% up-brahmin (harappa) + 8.2% puerto-rican (1000genomes) @ 3.44
18 77.8% nepalese-a (xing) + 22.2% bengali-brahmin (harappa) @ 3.44
19 66.1% haryana-jatt (harappa) + 33.9% up-muslim (metspalu) @ 3.45
20 72.7% haryana-jatt (harappa) + 27.3% dusadh (metspalu) @ 3.45
Rimal
Admix Results (sorted):
# Population Percent
1 Baloch 35.86
2 S-Indian 34.48
3 NE-Euro 12.13
4 Caucasian 8.75
5 NE-Asian 4.37
6 Mediterranean 1.78
7 Beringian 1.13
8 American 0.81
9 Papuan 0.6
10 SW-Asian 0.07
11 Siberian 0.01
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 4.28
2 up-muslim (harappa) 5.89
3 punjabi-brahmin (harappa) 5.92
4 singapore-indian-c (sgvp) 5.93
5 punjabi (harappa) 6.38
6 kashmiri-pandit (reich) 6.7
7 up-brahmin (harappa) 6.76
8 kashmiri-pahari (harappa) 6.9
9 punjabi-ramgarhia (harappa) 7.12
10 kashmiri (harappa) 7.72
11 punjabi-jatt-muslim (harappa) 7.95
12 punjabi-jatt-sikh (harappa) 8.46
13 brahmin-uttar-pradesh (metspalu) 8.76
14 bengali-brahmin (harappa) 9.02
15 punjabi-khatri (harappa) 9.08
16 gujarati-muslim (harappa) 9.29
17 haryana-jatt (harappa) 9.9
18 bihari-muslim (harappa) 10.36
19 punjabi-arain (xing) 10.4
20 vaish (reich) 10.86
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 86.1% nepalese-a (xing) + 13.9% bene-israel-jew (behar) @ 2.95
2 59.4% brahmin-uttar-pradesh (metspalu) + 40.6% burusho (hgdp) @ 3.12
3 63.3% nepalese-a (xing) + 36.7% up-muslim (harappa) @ 3.16
4 96% nepalese-a (xing) + 4% georgian (behar) @ 3.23
5 71.6% nepalese-a (xing) + 28.4% kashmiri (harappa) @ 3.26
6 95.9% nepalese-a (xing) + 4.1% abhkasian (yunusbayev) @ 3.28
7 77.8% brahmin-uttar-pradesh (metspalu) + 22.2% tajik (yunusbayev) @ 3.28
8 95.9% nepalese-a (xing) + 4.1% druze (hgdp) @ 3.28
9 81.6% punjabi-brahmin (harappa) + 18.4% nepalese-c (xing) @ 3.29
10 92% nepalese-a (xing) + 8% romanian-b (behar) @ 3.3
11 95.5% nepalese-a (xing) + 4.5% armenian (behar) @ 3.32
12 76.5% nepalese-a (xing) + 23.5% gujarati-muslim (harappa) @ 3.35
13 91.4% punjabi-brahmin (harappa) + 8.6% nepalese-b (xing) @ 3.38
14 58.8% bengali-brahmin (harappa) + 41.2% burusho (hgdp) @ 3.4
15 95.8% nepalese-a (xing) + 4.2% cypriot (behar) @ 3.4
16 95.6% nepalese-a (xing) + 4.4% azerbaijan-jew (behar) @ 3.4
17 95.7% nepalese-a (xing) + 4.3% lebanese-druze (haber) @ 3.42
18 95.7% nepalese-a (xing) + 4.3% georgia-jew (behar) @ 3.43
19 73.5% vaish (reich) + 26.5% tajik (yunusbayev) @ 3.43
20 95.6% nepalese-a (xing) + 4.4% assyrian (harappa) @ 3.45
Kaazi
09-18-2020, 04:42 PM
Newars
Chhathariya Shrestha (Mulepati)
Admix Results (sorted):
# Population Percent
1 NE-Asian 39.33
2 S-Indian 28.69
3 Baloch 16.67
4 Siberian 5.85
5 NE-Euro 2.75
6 SE-Asian 2.67
7 Mediterranean 1.99
8 Caucasian 0.8
9 American 0.7
10 Papuan 0.55
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 13.38
2 nepalese-c (xing) 17.78
3 uyghur (hgdp) 28.28
4 hazara (hgdp) 28.76
5 garo (chaubey) 28.97
6 burmanese (chaubey) 29.29
7 khasi (chaubey) 31.45
8 uzbek (behar) 34.87
9 kyrgyz (hodoglugil) 36.11
10 kyrgyz (xing) 36.26
11 kazakh (harappa) 36.56
12 bengali (harappa) 37.88
13 great-andamanese (reich) 38.52
14 burusho (hgdp) 39.44
15 mongola (hgdp) 40.01
16 nepalese-a (xing) 40.05
17 up-muslim (harappa) 40.72
18 bengali-brahmin (harappa) 41.08
19 xibo (hgdp) 41.09
20 bihari-muslim (harappa) 41.22
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 50.3% tibet (simonson) + 49.7% dharkar (metspalu) @ 2.4
2 53% bihari (harappa) + 47% naga (metspalu) @ 2.42
3 51% bihari (harappa) + 49% tibet (simonson) @ 2.44
4 55.6% bengali (harappa) + 44.4% nysha (reich) @ 2.5
5 53% tu (hgdp) + 47% up-scheduled-caste (metspalu) @ 2.55
6 52.5% tu (hgdp) + 47.5% kanjar (metspalu) @ 2.56
7 52.7% up (harappa) + 47.3% naga (metspalu) @ 2.61
8 51.6% dharkar (metspalu) + 48.4% naga (metspalu) @ 2.67
9 51.8% srivastava (reich) + 48.2% naga (metspalu) @ 2.68
10 52.4% bihari (harappa) + 47.6% nysha (reich) @ 2.7
11 53.6% tu (hgdp) + 46.4% lodi (reich) @ 2.72
12 53.3% sri-lankan (harappa) + 46.7% naga (metspalu) @ 2.75
13 54.2% bengali (harappa) + 45.8% tibet (simonson) @ 2.78
14 52.9% caribbean-indian (harappa) + 47.1% naga (metspalu) @ 2.8
15 50.4% tibet (simonson) + 49.6% tharu (metspalu) @ 2.82
16 50.9% caribbean-indian (harappa) + 49.1% tibet (simonson) @ 2.82
17 53.5% bihari (harappa) + 46.5% aonaga (reich) @ 2.83
18 52.2% up (harappa) + 47.8% nysha (reich) @ 2.86
19 50.5% tibet (simonson) + 49.5% kanjar (metspalu) @ 2.87
20 53.2% up (harappa) + 46.8% aonaga (reich) @ 2.9
Shrestha uploaded by the above Mulepati
Admix Results (sorted):
# Population Percent
1 NE-Asian 38.17
2 S-Indian 28.83
3 Baloch 17.97
4 Siberian 4.89
5 NE-Euro 2.18
6 SE-Asian 2.02
7 Caucasian 1.89
8 Mediterranean 1.68
9 American 1.39
10 Papuan 0.98
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 14.87
2 nepalese-c (xing) 16.04
3 uyghur (hgdp) 28.16
4 hazara (hgdp) 28.52
5 garo (chaubey) 30.34
6 burmanese (chaubey) 30.47
7 khasi (chaubey) 31.83
8 uzbek (behar) 34.47
9 bengali (harappa) 36.6
10 kyrgyz (hodoglugil) 36.85
11 kyrgyz (xing) 36.91
12 kazakh (harappa) 37.12
13 burusho (hgdp) 37.74
14 great-andamanese (reich) 38.11
15 nepalese-a (xing) 38.52
16 up-muslim (harappa) 39.06
17 bengali-brahmin (harappa) 39.61
18 bihari-muslim (harappa) 39.71
19 kashmiri (harappa) 39.8
20 gujarati-muslim (harappa) 40.28
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 54.3% up (harappa) + 45.7% naga (metspalu) @ 1.94
2 54.7% up (harappa) + 45.3% aonaga (reich) @ 2
3 54.5% bihari (harappa) + 45.5% naga (metspalu) @ 2.05
4 55% bihari (harappa) + 45% aonaga (reich) @ 2.24
5 53.7% ap-brahmin (xing) + 46.3% naga (metspalu) @ 2.26
6 53.8% up (harappa) + 46.2% nysha (reich) @ 2.31
7 54% bihari (harappa) + 46% nysha (reich) @ 2.41
8 51.5% singapore-indian-b (sgvp) + 48.5% tibet (simonson) @ 2.42
9 52.6% bihari (harappa) + 47.4% tibet (simonson) @ 2.46
10 53.3% singapore-indian-b (sgvp) + 46.7% naga (metspalu) @ 2.52
11 54.1% ap-brahmin (xing) + 45.9% aonaga (reich) @ 2.55
12 53.2% ap-brahmin (xing) + 46.8% nysha (reich) @ 2.59
13 54.2% rajasthani (harappa) + 45.8% naga (metspalu) @ 2.59
14 51.8% ap-brahmin (xing) + 48.2% tibet (simonson) @ 2.64
15 54.4% caribbean-indian (harappa) + 45.6% naga (metspalu) @ 2.66
16 53.3% srivastava (reich) + 46.7% naga (metspalu) @ 2.67
17 53.1% dharkar (metspalu) + 46.9% naga (metspalu) @ 2.67
18 51.2% dharkar (metspalu) + 48.8% tibet (simonson) @ 2.74
19 52.8% singapore-indian-b (sgvp) + 47.2% nysha (reich) @ 2.79
20 51.2% tharu (metspalu) + 48.8% tibet (simonson) @ 2.81
Uray (Buddhist occupational caste) - Tuladhar
Admix Results (sorted):
# Population Percent
1 NE-Asian 36.23
2 S-Indian 30.61
3 Baloch 16.53
4 Siberian 5.74
5 Caucasian 4.12
6 SE-Asian 3.34
7 NE-Euro 1.34
8 Beringian 1.27
9 American 0.61
10 Papuan 0.21
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 15.15
2 nepalese-b (xing) 16.37
3 uyghur (hgdp) 28.35
4 hazara (hgdp) 28.58
5 khasi (chaubey) 29.59
6 garo (chaubey) 29.67
7 burmanese (chaubey) 29.88
8 uzbek (behar) 34.12
9 bengali (harappa) 34.72
10 great-andamanese (reich) 35.47
11 kyrgyz (xing) 36.97
12 kyrgyz (hodoglugil) 37.01
13 burusho (hgdp) 37.22
14 kazakh (harappa) 37.27
15 nepalese-a (xing) 37.72
16 up-muslim (harappa) 37.76
17 bihari-muslim (harappa) 38.19
18 bengali-brahmin (harappa) 38.27
19 kashmiri (harappa) 38.67
20 gujarati-muslim (harappa) 38.99
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 50.7% tu (hgdp) + 49.3% kurumba (metspalu) @ 2.34
2 50.6% sinhalese (harappa) + 49.4% tu (hgdp) @ 2.48
3 51.1% andhra-pradesh (harappa) + 48.9% tu (hgdp) @ 2.51
4 50.4% tu (hgdp) + 49.6% velama (reich) @ 2.65
5 50.2% tu (hgdp) + 49.8% tamil-vellalar (harappa) @ 2.68
6 51.6% tamil (harappa) + 48.4% tu (hgdp) @ 2.79
7 52% ap-hyderabad (harappa) + 48% tu (hgdp) @ 2.79
8 50.3% tu (hgdp) + 49.7% tamil-nadu-scheduled-caste (metspalu) @ 2.81
9 50.1% tamil-nadar (harappa) + 49.9% tu (hgdp) @ 2.84
10 50.6% karnataka (harappa) + 49.4% tu (hgdp) @ 2.93
11 55.8% ap-hyderabad (harappa) + 44.2% naga (metspalu) @ 3.05
12 50.1% tu (hgdp) + 49.9% lodi (reich) @ 3.06
13 50.7% tu (hgdp) + 49.3% naidu (reich) @ 3.11
14 51% tu (hgdp) + 49% piramalai-kallar (metspalu) @ 3.12
15 51.1% tharu (metspalu) + 48.9% tu (hgdp) @ 3.14
16 50.8% tu (hgdp) + 49.2% singapore-indian-a (sgvp) @ 3.15
17 50.4% tu (hgdp) + 49.6% velama (metspalu) @ 3.17
18 50.1% tu (hgdp) + 49.9% dusadh (metspalu) @ 3.19
19 50.4% up-scheduled-caste (metspalu) + 49.6% tu (hgdp) @ 3.2
20 54% ap-hyderabad (harappa) + 46% tibet (simonson) @ 3.24
Chitrakar (occupational caste)
Admix Results (sorted):
# Population Percent
1 S-Indian 36.14
2 NE-Asian 31.93
3 Baloch 17.47
4 SE-Asian 4.13
5 Siberian 3.4
6 Mediterranean 1.9
7 Papuan 1.71
8 NE-Euro 1.6
9 American 1.12
10 Beringian 0.38
11 SW-Asian 0.17
12 Caucasian 0.04
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 12.81
2 nepalese-b (xing) 21.92
3 khasi (chaubey) 28.37
4 bengali (harappa) 28.8
5 great-andamanese (reich) 30.18
6 garo (chaubey) 32.78
7 burmanese (chaubey) 33.02
8 bihari-muslim (harappa) 33.36
9 bengali-brahmin (harappa) 33.41
10 sri-lankan (harappa) 33.44
11 hazara (hgdp) 33.69
12 uyghur (hgdp) 33.75
13 kerala-muslim (harappa) 33.94
14 nepalese-a (xing) 34.2
15 caribbean-indian (harappa) 34.3
16 bihari (harappa) 34.31
17 up-muslim (harappa) 34.31
18 cochin-jew (behar) 34.54
19 onge (reich) 34.64
20 up (harappa) 34.89
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 57.1% dusadh (metspalu) + 42.9% tu (hgdp) @ 2.51
2 56.9% kol (metspalu) + 43.1% tu (hgdp) @ 2.63
3 58.6% kol (metspalu) + 41.4% japanese (hgdp) @ 2.82
4 56.3% singapore-indian-a (sgvp) + 43.7% tu (hgdp) @ 2.86
5 60.3% up-scheduled-caste (metspalu) + 39.7% han-nchina (hgdp) @ 2.88
6 59.6% kol (metspalu) + 40.4% han-nchina (hgdp) @ 2.9
7 57% lodi (reich) + 43% tu (hgdp) @ 2.92
8 58.8% dusadh (metspalu) + 41.2% japanese (hgdp) @ 2.96
9 59.4% up-scheduled-caste (metspalu) + 40.6% japanese (hgdp) @ 2.99
10 57.7% up-scheduled-caste (metspalu) + 42.3% tu (hgdp) @ 3.01
11 58.7% lodi (reich) + 41.3% japanese (hgdp) @ 3.08
12 59.7% dusadh (metspalu) + 40.3% han-nchina (hgdp) @ 3.1
13 56.1% piramalai-kallar (metspalu) + 43.9% tu (hgdp) @ 3.14
14 58.1% up-scheduled-caste (metspalu) + 41.9% naxi (hgdp) @ 3.15
15 55.2% vysya (reich) + 44.8% tu (hgdp) @ 3.15
16 57.2% tamil-nadar (harappa) + 42.8% tu (hgdp) @ 3.25
17 56.4% naidu (reich) + 43.6% tu (hgdp) @ 3.26
18 56.7% hallaki (reich) + 43.3% tu (hgdp) @ 3.29
19 59.7% lodi (reich) + 40.3% han-nchina (hgdp) @ 3.33
20 58.1% singapore-indian-a (sgvp) + 41.9% japanese (hgdp) @ 3.35
Last name-Raya, could be a Shrestha Newar, Thakuri, mixed Chhetri or multiple mixes.
Admix Results (sorted):
# Population Percent
1 NE-Asian 42.52
2 S-Indian 19.78
3 Baloch 16.94
4 Siberian 7.39
5 Caucasian 3.71
6 SE-Asian 3.51
7 NE-Euro 3.39
8 Papuan 2.13
9 W-African 0.46
10 American 0.17
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 12.68
2 uyghur (hgdp) 22.64
3 nepalese-c (xing) 22.99
4 hazara (hgdp) 23.73
5 burmanese (chaubey) 26.83
6 garo (chaubey) 27.17
7 kyrgyz (hodoglugil) 30.65
8 kyrgyz (xing) 30.85
9 uzbek (behar) 31
10 kazakh (harappa) 31.72
11 mongola (hgdp) 33.14
12 khasi (chaubey) 33.82
13 xibo (hgdp) 34.24
14 tu (hgdp) 34.98
15 mongolian (rasmussen) 36
16 naxi (hgdp) 37.03
17 hezhen (hgdp) 37.08
18 daur (hgdp) 37.37
19 yi (hgdp) 37.66
20 japanese (hgdp) 38.93
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 59% tu (hgdp) + 41% meghawal (reich) @ 2.79
2 59.1% tu (hgdp) + 40.9% gujarati-b (hapmap) @ 2.98
3 63% nepalese-c (xing) + 37% japanese (hgdp) @ 3.04
4 59.3% tu (hgdp) + 40.7% tn-brahmin (xing) @ 3.08
5 58.8% tu (hgdp) + 41.2% gujarati (harappa) @ 3.09
6 58.6% tu (hgdp) + 41.4% maharashtrian (harappa) @ 3.11
7 58.9% tu (hgdp) + 41.1% brahmin-tamil-nadu (metspalu) @ 3.25
8 58.8% tu (hgdp) + 41.2% up-kshatriya (metspalu) @ 3.26
9 59.3% tu (hgdp) + 40.7% iyer-brahmin (harappa) @ 3.29
10 60.5% nepalese-c (xing) + 39.5% tu (hgdp) @ 3.33
11 59.3% tu (hgdp) + 40.7% iyengar-brahmin (harappa) @ 3.38
12 58.5% tu (hgdp) + 41.5% karnataka-brahmin (harappa) @ 3.39
13 59.4% tu (hgdp) + 40.6% kerala-nair (harappa) @ 3.43
14 57.3% tu (hgdp) + 42.7% bihari-muslim (harappa) @ 3.44
15 58.8% tu (hgdp) + 41.2% rajasthani (harappa) @ 3.48
16 58.5% tu (hgdp) + 41.5% vaish (reich) @ 3.57
17 59.3% tu (hgdp) + 40.7% ap-brahmin (xing) @ 3.72
18 51% naga (metspalu) + 49% up-muslim (harappa) @ 3.84
19 58.2% tu (hgdp) + 41.8% up-brahmin (harappa) @ 3.86
20 57.1% tu (hgdp) + 42.9% bengali-brahmin (harappa) @ 3.89
Tamangs
Lama
Admix Results (sorted):
# Population Percent
1 NE-Asian 67.75
2 S-Indian 12.06
3 Siberian 10.56
4 Baloch 2.91
5 Beringian 1.97
6 Papuan 1.94
7 SE-Asian 1.5
8 Caucasian 0.91
9 American 0.34
10 E-African 0.06
11 SW-Asian 0.01
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 11.15
2 tibet (simonson) 11.69
3 nysha (reich) 14.87
4 japanese (hgdp) 15.36
5 xibo (hgdp) 15.37
6 naxi (hgdp) 16
7 naga (metspalu) 16.01
8 aonaga (reich) 17.12
9 yi (hgdp) 17.51
10 mongola (hgdp) 17.96
11 han-nchina (hgdp) 18.36
12 nepalese-b (xing) 21.7
13 chinese-beijing (1000genomes) 22.51
14 chinese-beijing (hapmap) 22.67
15 hezhen (hgdp) 24.07
16 daur (hgdp) 25.1
17 japanese (xing) 28.97
18 tujia (hgdp) 30.53
19 chinese-american (hapmap) 31.04
20 japanese (1000genomes) 32.9
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 87.2% tibet (simonson) + 12.8% tharu (reich) @ 2.21
2 86.1% tibet (simonson) + 13.9% bengali (harappa) @ 2.31
3 87.5% tibet (simonson) + 12.5% satnami (reich) @ 2.37
4 87.7% tibet (simonson) + 12.3% gond (metspalu) @ 2.41
5 87.6% tibet (simonson) + 12.4% tamil-nadar (harappa) @ 2.49
6 87.5% tibet (simonson) + 12.5% sinhalese (harappa) @ 2.5
7 87% tibet (simonson) + 13% kerala-muslim (harappa) @ 2.53
8 87.4% tibet (simonson) + 12.6% andhra-pradesh (harappa) @ 2.59
9 87.3% tibet (simonson) + 12.7% tamil (harappa) @ 2.59
10 87.7% tibet (simonson) + 12.3% tamil-nadu-scheduled-caste (metspalu) @ 2.59
11 87.7% tibet (simonson) + 12.3% hallaki (reich) @ 2.6
12 87.8% tibet (simonson) + 12.2% singapore-indian-a (sgvp) @ 2.6
13 87.8% tibet (simonson) + 12.2% kurumba (metspalu) @ 2.61
14 87.8% tibet (simonson) + 12.2% piramalai-kallar (metspalu) @ 2.62
15 87.4% tibet (simonson) + 12.6% chenchu (metspalu) @ 2.63
16 87.8% tibet (simonson) + 12.2% kamsali (reich) @ 2.65
17 87.6% tibet (simonson) + 12.4% dusadh (metspalu) @ 2.65
18 87.7% tibet (simonson) + 12.3% kol (metspalu) @ 2.68
19 87.5% tibet (simonson) + 12.5% karnataka (harappa) @ 2.68
20 87.7% tibet (simonson) + 12.3% sahariya (reich) @ 2.68
Tamang a bit higher South Asian admix
Admix Results (sorted):
# Population Percent
1 NE-Asian 55.67
2 S-Indian 21.11
3 Siberian 8.16
4 Baloch 5.16
5 SE-Asian 4.42
6 Papuan 1.66
7 American 1.26
8 Mediterranean 0.95
9 Caucasian 0.72
10 NE-Euro 0.63
11 Beringian 0.2
12 E-African 0.07
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 8.45
2 tu (hgdp) 22.99
3 garo (chaubey) 23.91
4 xibo (hgdp) 24.53
5 naxi (hgdp) 24.74
6 mongola (hgdp) 24.85
7 yi (hgdp) 25.64
8 tibet (simonson) 26.07
9 burmanese (chaubey) 26.13
10 japanese (hgdp) 26.81
11 nysha (reich) 28.74
12 han-nchina (hgdp) 29.37
13 naga (metspalu) 29.65
14 hezhen (hgdp) 29.98
15 daur (hgdp) 30.7
16 aonaga (reich) 30.74
17 chinese-beijing (1000genomes) 31.04
18 chinese-beijing (hapmap) 31.11
19 tujia (hgdp) 33.99
20 chinese-american (hapmap) 34.39
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 71.9% tibet (simonson) + 28.1% sahariya (reich) @ 2.56
2 72.2% tibet (simonson) + 27.8% gond (metspalu) @ 2.79
3 71.7% tibet (simonson) + 28.3% satnami (reich) @ 2.84
4 75.9% tu (hgdp) + 24.1% tn-dalit (xing) @ 2.89
5 75.9% tu (hgdp) + 24.1% mala (reich) @ 2.89
6 75.7% tu (hgdp) + 24.3% ap-mala (xing) @ 3.05
7 77.2% nepalese-b (xing) + 22.8% japanese (hgdp) @ 3.06
8 75.7% nepalese-b (xing) + 24.3% naxi (hgdp) @ 3.06
9 75.3% tu (hgdp) + 24.7% kurumba (reich) @ 3.08
10 75.3% tu (hgdp) + 24.7% north-kannadi (chaubey) @ 3.22
11 76.5% nepalese-b (xing) + 23.5% yi (hgdp) @ 3.25
12 75.4% tu (hgdp) + 24.6% hakkipikki (metspalu) @ 3.26
13 75.2% tu (hgdp) + 24.8% ap-madiga (xing) @ 3.4
14 75.5% tu (hgdp) + 24.5% madiga (reich) @ 3.44
15 71.2% tibet (simonson) + 28.8% tharu (reich) @ 3.5
16 75.1% tu (hgdp) + 24.9% tamil-vishwakarma (harappa) @ 3.57
17 68.5% naga (metspalu) + 31.5% tharu (reich) @ 3.64
18 79.3% nepalese-b (xing) + 20.7% han-nchina (hgdp) @ 3.72
19 74.9% nepalese-b (xing) + 25.1% tu (hgdp) @ 3.72
20 75.2% tu (hgdp) + 24.8% bhil (reich) @ 3.74
Godardt
09-23-2020, 09:36 AM
Wow really interesting no Thakuri or Nepal Thakur till now Sir. Shahs, Shahis, Singhs, Chands, Pals, Khands, Bams, Sens etc I believe Thakuris are multi ethnic.
Kaazi
09-25-2020, 02:52 PM
Wow really interesting no Thakuri or Nepal Thakur till now Sir. Shahs, Shahis, Singhs, Chands, Pals, Khands, Bams, Sens etc I believe Thakuris are multi ethnic.
Imo, Thakuri is a multi-ethnic cluster of royal, aristocracy and landed gentry clans created from the medieval Khas and Tibeto-Burmese tribes. Khand and Sen are exclusively Eastern clans (Gandaki) and their autosomal data could be more East Asian shifted than the Western ones like Chands & Singhs from Bajhang. I've found Rawat kit which can be a Uttarakhand Thakur/Rajput or a Far-Midwestern Nepal Chhetri. Do Thakuris have Rawat clan? Since Rawat is exclusively a Western Nepalese surname, I think they're close to the Farwestern Thakuris.
Rawat - Uttarakhand Rajput or Farwest Nepal Chhetri?
Admix Results (sorted):
# Population Percent
1 S-Indian 34.22
2 Baloch 25.1
3 NE-Asian 21.39
4 NE-Euro 6.15
5 Caucasian 4.13
6 Siberian 4.04
7 SE-Asian 2.01
8 Beringian 1.07
9 SW-Asian 0.9
10 American 0.73
11 Papuan 0.26
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 3.89
2 bengali (harappa) 20.06
3 nepalese-a (xing) 21.01
4 up-muslim (harappa) 21.49
5 bengali-brahmin (harappa) 21.56
6 bihari-muslim (harappa) 21.72
7 burusho (hgdp) 23.16
8 kashmiri (harappa) 23.25
9 gujarati-muslim (harappa) 23.47
10 punjabi (harappa) 23.91
11 cochin-jew (behar) 24
12 up-brahmin (harappa) 24.12
13 karnataka-brahmin (harappa) 24.13
14 vaish (reich) 24.16
15 brahmin-uttar-pradesh (metspalu) 24.19
16 maharashtrian (harappa) 24.29
17 bihari (harappa) 24.49
18 kashmiri-pahari (harappa) 24.5
19 kashmiri-pandit (reich) 24.57
20 singapore-indian-c (sgvp) 24.67
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 75.8% bihari-muslim (harappa) + 24.2% naga (metspalu) @ 1.78
2 75.5% bihari-muslim (harappa) + 24.5% nysha (reich) @ 1.83
3 76% bihari-muslim (harappa) + 24% aonaga (reich) @ 1.86
4 74.7% bihari-muslim (harappa) + 25.3% tibet (simonson) @ 1.92
5 71.4% karnataka-brahmin (harappa) + 28.6% tu (hgdp) @ 2.17
6 71.2% maharashtrian (harappa) + 28.8% tu (hgdp) @ 2.21
7 86.3% nepalese-c (xing) + 13.7% bengali (harappa) @ 2.26
8 70% iyengar-brahmin (harappa) + 30% tu (hgdp) @ 2.28
9 72.7% karnataka-brahmin (harappa) + 27.3% tibet (simonson) @ 2.47
10 75.7% bengali-brahmin (harappa) + 24.3% nysha (reich) @ 2.51
11 73.5% bihari-muslim (harappa) + 26.5% tu (hgdp) @ 2.52
12 92.9% nepalese-c (xing) + 7.1% sahariya (reich) @ 2.56
13 91% nepalese-c (xing) + 9% tharu (reich) @ 2.57
14 90% nepalese-c (xing) + 10% srivastava (reich) @ 2.58
15 74.9% bengali-brahmin (harappa) + 25.1% tibet (simonson) @ 2.59
16 92.7% nepalese-c (xing) + 7.3% gond (metspalu) @ 2.62
17 89.4% nepalese-c (xing) + 10.6% bihari (harappa) @ 2.62
18 92.1% nepalese-c (xing) + 7.9% satnami (reich) @ 2.63
19 70.1% ap-brahmin (xing) + 29.9% tu (hgdp) @ 2.63
20 70.5% meghawal (reich) + 29.5% tu (hgdp) @ 2.64
Godardt
09-26-2020, 05:04 AM
Imo, Thakuri is a multi-ethnic cluster of royal, aristocracy and landed gentry clans created from the medieval Khas and Tibeto-Burmese tribes. Khand and Sen are exclusively Eastern clans (Gandaki) and their autosomal data could be more East Asian shifted than the Western ones like Chands & Singhs from Bajhang. I've found Rawat kit which can be a Uttarakhand Thakur/Rajput or a Far-Midwestern Nepal Chhetri. Do Thakuris have Rawat clan? Since Rawat is exclusively a Western Nepalese surname, I think they're close to the Farwestern Thakuris.
Rawat - Uttarakhand Rajput or Farwest Nepal Chhetri?
Admix Results (sorted):
# Population Percent
1 S-Indian 34.22
2 Baloch 25.1
3 NE-Asian 21.39
4 NE-Euro 6.15
5 Caucasian 4.13
6 Siberian 4.04
7 SE-Asian 2.01
8 Beringian 1.07
9 SW-Asian 0.9
10 American 0.73
11 Papuan 0.26
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 3.89
2 bengali (harappa) 20.06
3 nepalese-a (xing) 21.01
4 up-muslim (harappa) 21.49
5 bengali-brahmin (harappa) 21.56
6 bihari-muslim (harappa) 21.72
7 burusho (hgdp) 23.16
8 kashmiri (harappa) 23.25
9 gujarati-muslim (harappa) 23.47
10 punjabi (harappa) 23.91
11 cochin-jew (behar) 24
12 up-brahmin (harappa) 24.12
13 karnataka-brahmin (harappa) 24.13
14 vaish (reich) 24.16
15 brahmin-uttar-pradesh (metspalu) 24.19
16 maharashtrian (harappa) 24.29
17 bihari (harappa) 24.49
18 kashmiri-pahari (harappa) 24.5
19 kashmiri-pandit (reich) 24.57
20 singapore-indian-c (sgvp) 24.67
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 75.8% bihari-muslim (harappa) + 24.2% naga (metspalu) @ 1.78
2 75.5% bihari-muslim (harappa) + 24.5% nysha (reich) @ 1.83
3 76% bihari-muslim (harappa) + 24% aonaga (reich) @ 1.86
4 74.7% bihari-muslim (harappa) + 25.3% tibet (simonson) @ 1.92
5 71.4% karnataka-brahmin (harappa) + 28.6% tu (hgdp) @ 2.17
6 71.2% maharashtrian (harappa) + 28.8% tu (hgdp) @ 2.21
7 86.3% nepalese-c (xing) + 13.7% bengali (harappa) @ 2.26
8 70% iyengar-brahmin (harappa) + 30% tu (hgdp) @ 2.28
9 72.7% karnataka-brahmin (harappa) + 27.3% tibet (simonson) @ 2.47
10 75.7% bengali-brahmin (harappa) + 24.3% nysha (reich) @ 2.51
11 73.5% bihari-muslim (harappa) + 26.5% tu (hgdp) @ 2.52
12 92.9% nepalese-c (xing) + 7.1% sahariya (reich) @ 2.56
13 91% nepalese-c (xing) + 9% tharu (reich) @ 2.57
14 90% nepalese-c (xing) + 10% srivastava (reich) @ 2.58
15 74.9% bengali-brahmin (harappa) + 25.1% tibet (simonson) @ 2.59
16 92.7% nepalese-c (xing) + 7.3% gond (metspalu) @ 2.62
17 89.4% nepalese-c (xing) + 10.6% bihari (harappa) @ 2.62
18 92.1% nepalese-c (xing) + 7.9% satnami (reich) @ 2.63
19 70.1% ap-brahmin (xing) + 29.9% tu (hgdp) @ 2.63
20 70.5% meghawal (reich) + 29.5% tu (hgdp) @ 2.64
Rawats are Chettris in Nepal. Similar to Rawals I think. There was the famous Dr, Rawat in Norvic Hospital who was based here in Kathmandu, but is now back in India since his tenure ended. My parents knew some Rawat embassy diplomats too, they looked pretty east Asian shifted similar to some Nepalis, even more East Asian shifted than the avg chettri or Brahmin. I think Chands of far western Nepal and Uttaranchal are related, also Shahis, Mallas, Pals, Singhs and Bams, they have these surnames across the borders. I've come across few Chands, Pals , Singhs (Marma, Doti, Darchula) who look North Indid, I was very surprised, they seem to be the offsprings of the Beti Roti rishta. Yes, but if you compare an avg Thakuri to say an avg mainstream chettri like Godar Thapa, then Thakuris even the Sudur Paschim lot are more East Asian shifted.
Kaazi
09-28-2020, 12:20 PM
This looks like the highest NE-Asian score from Nepal.
Kit JH7355083 Sherpa
Admix Results (sorted):
# Population Percent
1 NE-Asian 74.55
2 Siberian 11.44
3 S-Indian 7.7
4 Papuan 1.99
5 Beringian 1.45
6 Baloch 0.9
7 Caucasian 0.73
8 SE-Asian 0.69
9 American 0.29
10 E-African 0.26
Single Population Sharing:
# Population (source) Distance
1 tibet (simonson) 4.04
2 nysha (reich) 7.85
3 tu (hgdp) 8.58
4 naga (metspalu) 9.17
5 aonaga (reich) 10.24
6 japanese (hgdp) 11.85
7 han-nchina (hgdp) 14.48
8 naxi (hgdp) 14.71
9 xibo (hgdp) 14.94
10 yi (hgdp) 16.33
11 mongola (hgdp) 18.73
12 chinese-beijing (1000genomes) 20.17
13 chinese-beijing (hapmap) 20.36
14 japanese (xing) 22.41
15 hezhen (hgdp) 24.71
16 daur (hgdp) 25.77
17 japanese (1000genomes) 26.2
18 japanese (hapmap) 26.36
19 nepalese-b (xing) 29.34
20 tujia (hgdp) 30.74
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 95.1% tibet (simonson) + 4.9% great-andamanese (reich) @ 1.49
2 95.3% tibet (simonson) + 4.7% onge (reich) @ 1.6
3 95.5% tibet (simonson) + 4.5% bengali (harappa) @ 1.66
4 95.9% tibet (simonson) + 4.1% tharu (reich) @ 1.66
5 96.1% tibet (simonson) + 3.9% gond (metspalu) @ 1.67
6 96% tibet (simonson) + 4% sahariya (reich) @ 1.68
7 96% tibet (simonson) + 4% satnami (reich) @ 1.69
8 96% tibet (simonson) + 4% tamil-nadar (harappa) @ 1.7
9 95.8% tibet (simonson) + 4.2% kerala-muslim (harappa) @ 1.7
10 96% tibet (simonson) + 4% sinhalese (harappa) @ 1.71
11 95.9% tibet (simonson) + 4.1% tamil (harappa) @ 1.71
12 96% tibet (simonson) + 4% andhra-pradesh (harappa) @ 1.72
13 96.1% tibet (simonson) + 3.9% tamil-nadu-scheduled-caste (metspalu) @ 1.73
14 95.9% tibet (simonson) + 4.1% kerala-christian (harappa) @ 1.73
15 96% tibet (simonson) + 4% karnataka (harappa) @ 1.74
16 96.1% tibet (simonson) + 3.9% kurumba (metspalu) @ 1.74
17 96.1% tibet (simonson) + 3.9% singapore-indian-a (sgvp) @ 1.74
18 96.1% tibet (simonson) + 3.9% piramalai-kallar (metspalu) @ 1.74
19 95.9% tibet (simonson) + 4.1% up (harappa) @ 1.75
20 96.2% tibet (simonson) + 3.8% nihali (metspalu) @ 1.75
Nepali Brahmins / Bahuns
Acharya
Admix Results (sorted):
# Population Percent
1 Baloch 35.51
2 S-Indian 34.1
3 NE-Euro 12.7
4 Caucasian 9.4
5 NE-Asian 4.36
6 American 2.23
7 Beringian 1.22
8 SW-Asian 0.32
9 SE-Asian 0.12
10 Mediterranean 0.04
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 5.07
2 punjabi-brahmin (harappa) 6.21
3 up-muslim (harappa) 6.45
4 singapore-indian-c (sgvp) 6.59
5 punjabi (harappa) 6.72
6 kashmiri-pandit (reich) 6.78
7 kashmiri (harappa) 7.48
8 up-brahmin (harappa) 7.71
9 kashmiri-pahari (harappa) 7.72
10 punjabi-ramgarhia (harappa) 8.09
11 punjabi-jatt-muslim (harappa) 8.15
12 punjabi-jatt-sikh (harappa) 8.58
13 punjabi-khatri (harappa) 8.58
14 brahmin-uttar-pradesh (metspalu) 9.57
15 gujarati-muslim (harappa) 9.62
16 haryana-jatt (harappa) 9.79
17 bengali-brahmin (harappa) 9.85
18 sindhi (harappa) 10.91
19 punjabi-arain (xing) 10.92
20 bihari-muslim (harappa) 11.14
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 95% nepalese-a (xing) + 5% georgian (behar) @ 3.69
2 94.8% nepalese-a (xing) + 5.2% abhkasian (yunusbayev) @ 3.72
3 65.8% nepalese-a (xing) + 34.2% kashmiri (harappa) @ 3.82
4 91.4% punjabi-brahmin (harappa) + 8.6% nepalese-b (xing) @ 3.82
5 81.8% punjabi-brahmin (harappa) + 18.2% nepalese-c (xing) @ 3.86
6 95.2% nepalese-a (xing) + 4.8% druze (hgdp) @ 3.9
7 94.4% nepalese-a (xing) + 5.6% adygei (hgdp) @ 3.92
8 94.4% nepalese-a (xing) + 5.6% north-ossetian (yunusbayev) @ 3.93
9 94.3% nepalese-a (xing) + 5.7% balkar (yunusbayev) @ 3.93
10 94.7% nepalese-a (xing) + 5.3% armenian (behar) @ 3.94
11 76.3% brahmin-uttar-pradesh (metspalu) + 23.7% tajik (yunusbayev) @ 3.98
12 86% nepalese-a (xing) + 14% bene-israel-jew (behar) @ 3.99
13 94.2% nepalese-a (xing) + 5.8% chechen (yunusbayev) @ 4.02
14 56.9% brahmin-uttar-pradesh (metspalu) + 43.1% burusho (hgdp) @ 4.02
15 94.8% nepalese-a (xing) + 5.2% azerbaijan-jew (behar) @ 4.03
16 94.9% nepalese-a (xing) + 5.1% georgia-jew (behar) @ 4.06
17 71.3% nepalese-a (xing) + 28.7% punjabi-khatri (harappa) @ 4.06
18 94.8% nepalese-a (xing) + 5.2% assyrian (harappa) @ 4.1
19 94.1% nepalese-a (xing) + 5.9% kumyk (yunusbayev) @ 4.1
20 95.1% nepalese-a (xing) + 4.9% lebanese-druze (haber) @ 4.11
Mishra
Admix Results (sorted):
# Population Percent
1 S-Indian 33.68
2 Baloch 32.54
3 NE-Euro 12.34
4 Caucasian 10.32
5 NE-Asian 4.09
6 American 3.38
7 Mediterranean 1.29
8 SE-Asian 0.97
9 Beringian 0.89
10 Papuan 0.51
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 6.07
2 nepalese-a (xing) 7.29
3 kashmiri (harappa) 7.8
4 kashmiri-pandit (reich) 8.25
5 punjabi (harappa) 8.31
6 punjabi-brahmin (harappa) 8.37
7 singapore-indian-c (sgvp) 8.83
8 punjabi-jatt-muslim (harappa) 9.05
9 up-brahmin (harappa) 9.28
10 punjabi-khatri (harappa) 9.42
11 gujarati-muslim (harappa) 9.7
12 kashmiri-pahari (harappa) 9.85
13 punjabi-jatt-sikh (harappa) 9.91
14 bengali-brahmin (harappa) 10.13
15 punjabi-ramgarhia (harappa) 10.19
16 haryana-jatt (harappa) 10.26
17 brahmin-uttar-pradesh (metspalu) 10.66
18 bihari-muslim (harappa) 11.36
19 sindhi (harappa) 12.15
20 vaish (reich) 12.63
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 82.6% bengali-brahmin (harappa) + 17.4% urkarah (xing) @ 4.19
2 60.6% srivastava (reich) + 39.4% tajik (yunusbayev) @ 4.24
3 74.8% bengali-brahmin (harappa) + 25.2% tajik (yunusbayev) @ 4.3
4 83.2% bengali-brahmin (harappa) + 16.8% lezgin (behar) @ 4.37
5 81.7% brahmin-uttar-pradesh (metspalu) + 18.3% nogai (yunusbayev) @ 4.37
6 82.2% bengali-brahmin (harappa) + 17.8% stalskoe (xing) @ 4.38
7 77.3% brahmin-uttar-pradesh (metspalu) + 22.7% turkmen (yunusbayev) @ 4.48
8 55.8% kanjar (metspalu) + 44.2% tajik (yunusbayev) @ 4.5
9 57.7% up-muslim (metspalu) + 42.3% tajik (yunusbayev) @ 4.5
10 61.6% bihari (harappa) + 38.4% tajik (yunusbayev) @ 4.51
11 95.1% up-muslim (harappa) + 4.9% finnish (1000genomes) @ 4.65
12 69.8% vaish (reich) + 30.2% tajik (yunusbayev) @ 4.66
13 94.6% up-muslim (harappa) + 5.4% lithuanian (behar) @ 4.67
14 84.4% bengali-brahmin (harappa) + 15.6% chechen (yunusbayev) @ 4.68
15 73.9% brahmin-uttar-pradesh (metspalu) + 26.1% tajik (yunusbayev) @ 4.68
16 94.3% up-muslim (harappa) + 5.7% russian (behar) @ 4.73
17 84.5% up-brahmin (harappa) + 15.5% nogai (yunusbayev) @ 4.74
18 94.3% up-muslim (harappa) + 5.7% belorussian (behar) @ 4.76
19 60.1% caribbean-indian (harappa) + 39.9% tajik (yunusbayev) @ 4.77
20 83.8% bengali-brahmin (harappa) + 16.2% kumyk (yunusbayev) @ 4.78
Upadhyay
Admix Results (sorted):
# Population Percent
1 S-Indian 35.98
2 Baloch 32.65
3 NE-Euro 14.92
4 Caucasian 6.69
5 NE-Asian 2.91
6 Siberian 2.72
7 Mediterranean 1.79
8 American 1.19
9 Beringian 0.69
10 Papuan 0.47
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 5.47
2 up-brahmin (harappa) 6.93
3 brahmin-uttar-pradesh (metspalu) 7.87
4 bengali-brahmin (harappa) 7.89
5 up-muslim (harappa) 7.98
6 punjabi-brahmin (harappa) 9.44
7 singapore-indian-c (sgvp) 9.69
8 bihari-muslim (harappa) 9.82
9 punjabi (harappa) 10.03
10 vaish (reich) 10.04
11 kashmiri-pandit (reich) 10.32
12 punjabi-ramgarhia (harappa) 10.34
13 haryana-jatt (harappa) 10.69
14 kashmiri-pahari (harappa) 11.01
15 punjabi-jatt-sikh (harappa) 11.12
16 kashmiri (harappa) 11.35
17 punjabi-jatt-muslim (harappa) 11.39
18 up-kshatriya (metspalu) 11.62
19 punjabi-khatri (harappa) 12.28
20 gujarati-b (hapmap) 12.42
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 84.1% brahmin-uttar-pradesh (metspalu) + 15.9% uzbek (behar) @ 2.76
2 78.7% brahmin-tamil-nadu (metspalu) + 21.3% chuvash (behar) @ 2.78
3 79.8% gujarati (harappa) + 20.2% chuvash (behar) @ 2.86
4 81.2% gujarati-b (hapmap) + 18.8% chuvash (behar) @ 3.06
5 80.4% brahmin-tamil-nadu (metspalu) + 19.6% mordovian (yunusbayev) @ 3.19
6 89.5% up-brahmin (harappa) + 10.5% chuvash (behar) @ 3.29
7 88% brahmin-uttar-pradesh (metspalu) + 12% chuvash (behar) @ 3.31
8 86.6% brahmin-uttar-pradesh (metspalu) + 13.4% nogai (yunusbayev) @ 3.34
9 78.4% tn-brahmin (xing) + 21.6% chuvash (behar) @ 3.35
10 77.6% haryana-jatt (harappa) + 22.4% chenchu (reich) @ 3.38
11 81.1% brahmin-tamil-nadu (metspalu) + 18.9% russian (hgdp) @ 3.39
12 85.7% brahmin-uttar-pradesh (metspalu) + 14.3% uyghur (hgdp) @ 3.46
13 76.4% kerala-nair (harappa) + 23.6% chuvash (behar) @ 3.48
14 80.5% meghawal (reich) + 19.5% chuvash (behar) @ 3.49
15 74.2% haryana-jatt (harappa) + 25.8% chenchu (metspalu) @ 3.49
16 81.5% gujarati (harappa) + 18.5% mordovian (yunusbayev) @ 3.49
17 78.3% iyer-brahmin (harappa) + 21.7% chuvash (behar) @ 3.54
18 80.4% maharashtrian (harappa) + 19.6% chuvash (behar) @ 3.54
19 87.8% brahmin-uttar-pradesh (metspalu) + 12.2% kazakh (harappa) @ 3.55
20 89.5% up-brahmin (harappa) + 10.5% kazakh (harappa) @ 3.55
Nepal
Admix Results (sorted):
# Population Percent
1 S-Indian 34.79
2 Baloch 33.59
3 NE-Euro 12.85
4 Caucasian 7.62
5 NE-Asian 3.05
6 Mediterranean 2.47
7 Siberian 2.07
8 American 1.91
9 Papuan 1.23
10 Beringian 0.31
11 San 0.06
12 SE-Asian 0.04
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 4.71
2 up-muslim (harappa) 5.94
3 up-brahmin (harappa) 6.82
4 punjabi-brahmin (harappa) 7.82
5 singapore-indian-c (sgvp) 7.97
6 punjabi (harappa) 8.05
7 bengali-brahmin (harappa) 8.07
8 brahmin-uttar-pradesh (metspalu) 8.24
9 kashmiri-pandit (reich) 8.38
10 punjabi-ramgarhia (harappa) 8.67
11 kashmiri-pahari (harappa) 9.11
12 kashmiri (harappa) 9.17
13 punjabi-jatt-muslim (harappa) 9.35
14 punjabi-jatt-sikh (harappa) 9.49
15 bihari-muslim (harappa) 9.72
16 haryana-jatt (harappa) 9.9
17 vaish (reich) 10.29
18 gujarati-muslim (harappa) 10.47
19 punjabi-khatri (harappa) 10.53
20 up-kshatriya (metspalu) 11.6
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 74.3% vaish (reich) + 25.7% tajik (yunusbayev) @ 2.51
2 78.7% brahmin-uttar-pradesh (metspalu) + 21.3% tajik (yunusbayev) @ 2.58
3 75.6% haryana-jatt (harappa) + 24.4% chenchu (metspalu) @ 2.63
4 83.2% brahmin-uttar-pradesh (metspalu) + 16.8% uzbek (behar) @ 2.66
5 86% up-brahmin (harappa) + 14% uzbek (behar) @ 2.71
6 50.5% bihari-muslim (harappa) + 49.5% haryana-jatt (harappa) @ 2.92
7 87.2% up-brahmin (harappa) + 12.8% uyghur (hgdp) @ 2.92
8 85.6% brahmin-uttar-pradesh (metspalu) + 14.4% nogai (yunusbayev) @ 2.94
9 79.3% bengali-brahmin (harappa) + 20.7% tajik (yunusbayev) @ 2.94
10 89.3% nepalese-a (xing) + 10.7% romanian-b (behar) @ 2.96
11 63.6% haryana-jatt (harappa) + 36.4% bengali (harappa) @ 2.98
12 78.2% haryana-jatt (harappa) + 21.8% tamil-vishwakarma (harappa) @ 3.1
13 55.8% bengali-brahmin (harappa) + 44.2% haryana-jatt (harappa) @ 3.13
14 64.4% haryana-jatt (harappa) + 35.6% caribbean-indian (harappa) @ 3.15
15 82.2% brahmin-uttar-pradesh (metspalu) + 17.8% turkmen (yunusbayev) @ 3.19
16 65.7% haryana-jatt (harappa) + 34.3% sri-lankan (harappa) @ 3.23
17 79% haryana-jatt (harappa) + 21% ap-madiga (xing) @ 3.24
18 87% up-brahmin (harappa) + 13% hazara (hgdp) @ 3.24
19 62.7% haryana-jatt (harappa) + 37.3% bihari (harappa) @ 3.25
20 77% haryana-jatt (harappa) + 23% kamsali (reich) @ 3.27
Aryal
Admix Results (sorted):
# Population Percent
1 S-Indian 34.33
2 Baloch 33.44
3 NE-Euro 11.5
4 Caucasian 9.88
5 NE-Asian 4.94
6 American 1.77
7 Beringian 1.34
8 Siberian 0.96
9 Mediterranean 0.75
10 SE-Asian 0.59
11 SW-Asian 0.3
12 Papuan 0.21
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 5.35
2 nepalese-a (xing) 6
3 punjabi (harappa) 7.29
4 kashmiri (harappa) 7.44
5 kashmiri-pandit (reich) 7.46
6 punjabi-brahmin (harappa) 7.56
7 singapore-indian-c (sgvp) 7.85
8 up-brahmin (harappa) 8.3
9 punjabi-jatt-muslim (harappa) 8.44
10 kashmiri-pahari (harappa) 8.68
11 gujarati-muslim (harappa) 9.05
12 punjabi-ramgarhia (harappa) 9.06
13 bengali-brahmin (harappa) 9.26
14 punjabi-khatri (harappa) 9.4
15 punjabi-jatt-sikh (harappa) 9.73
16 brahmin-uttar-pradesh (metspalu) 9.9
17 bihari-muslim (harappa) 10.28
18 haryana-jatt (harappa) 10.91
19 sindhi (harappa) 11.64
20 vaish (reich) 11.76
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 57.2% kanjar (metspalu) + 42.8% tajik (yunusbayev) @ 3.15
2 59.1% up-muslim (metspalu) + 40.9% tajik (yunusbayev) @ 3.18
3 76.4% bengali-brahmin (harappa) + 23.6% tajik (yunusbayev) @ 3.52
4 62% srivastava (reich) + 38% tajik (yunusbayev) @ 3.53
5 63% bihari (harappa) + 37% tajik (yunusbayev) @ 3.53
6 58.1% tharu (metspalu) + 41.9% tajik (yunusbayev) @ 3.56
7 84.4% up-brahmin (harappa) + 15.6% uyghur (hgdp) @ 3.59
8 74.9% burusho (hgdp) + 25.1% chenchu (reich) @ 3.6
9 74.3% bihari-muslim (harappa) + 25.7% tajik (yunusbayev) @ 3.66
10 78.8% nepalese-a (xing) + 21.2% bene-israel-jew (behar) @ 3.68
11 78.6% brahmin-uttar-pradesh (metspalu) + 21.4% turkmen (yunusbayev) @ 3.76
12 58.6% dharkar (metspalu) + 41.4% tajik (yunusbayev) @ 3.76
13 64.3% ap-brahmin (xing) + 35.7% tajik (yunusbayev) @ 3.83
14 71.4% vaish (reich) + 28.6% tajik (yunusbayev) @ 3.85
15 68.8% karnataka-brahmin (harappa) + 31.2% tajik (yunusbayev) @ 3.86
16 52.6% lodi (reich) + 47.4% tajik (yunusbayev) @ 3.91
17 75.9% punjabi-brahmin (harappa) + 24.1% nepalese-c (xing) @ 3.92
18 88.6% punjabi-brahmin (harappa) + 11.4% nepalese-b (xing) @ 3.93
19 83.7% up-brahmin (harappa) + 16.3% uzbek (behar) @ 3.96
20 81.8% burusho (hgdp) + 18.2% irula (xing) @ 3.97
Gautam
Admix Results (sorted):
# Population Percent
1 S-Indian 34.39
2 Baloch 32.98
3 NE-Euro 14.96
4 Caucasian 7.29
5 NE-Asian 4.36
6 Beringian 1.41
7 Papuan 1.08
8 Siberian 0.94
9 American 0.88
10 Mediterranean 0.86
11 SE-Asian 0.61
12 SW-Asian 0.24
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 5.27
2 up-muslim (harappa) 7.88
3 up-brahmin (harappa) 7.93
4 punjabi-brahmin (harappa) 9.1
5 bengali-brahmin (harappa) 9.15
6 singapore-indian-c (sgvp) 9.26
7 brahmin-uttar-pradesh (metspalu) 9.34
8 punjabi (harappa) 9.46
9 kashmiri-pandit (reich) 9.8
10 haryana-jatt (harappa) 9.81
11 punjabi-jatt-sikh (harappa) 10.31
12 kashmiri (harappa) 10.34
13 punjabi-ramgarhia (harappa) 10.4
14 punjabi-jatt-muslim (harappa) 10.5
15 kashmiri-pahari (harappa) 10.62
16 bihari-muslim (harappa) 11.08
17 punjabi-khatri (harappa) 11.28
18 vaish (reich) 11.49
19 gujarati-muslim (harappa) 12.11
20 up-kshatriya (metspalu) 13.06
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 85.5% up-brahmin (harappa) + 14.5% uyghur (hgdp) @ 3.76
2 65.3% haryana-jatt (harappa) + 34.7% bengali (harappa) @ 3.87
3 89.8% nepalese-a (xing) + 10.2% romanian-b (behar) @ 3.95
4 84.7% up-brahmin (harappa) + 15.3% uzbek (behar) @ 4.03
5 94.9% nepalese-a (xing) + 5.1% russian (behar) @ 4.1
6 81.9% brahmin-uttar-pradesh (metspalu) + 18.1% uzbek (behar) @ 4.12
7 94.1% nepalese-a (xing) + 5.9% bulgarian (yunusbayev) @ 4.13
8 77.3% haryana-jatt (harappa) + 22.7% chenchu (metspalu) @ 4.16
9 94.1% nepalese-a (xing) + 5.9% romanian-a (behar) @ 4.17
10 94.8% nepalese-a (xing) + 5.2% ukranian (yunusbayev) @ 4.2
11 83.1% brahmin-uttar-pradesh (metspalu) + 16.9% uyghur (hgdp) @ 4.2
12 95.1% nepalese-a (xing) + 4.9% belorussian (behar) @ 4.21
13 94.6% nepalese-a (xing) + 5.4% slovenian (xing) @ 4.21
14 77.3% brahmin-uttar-pradesh (metspalu) + 22.7% tajik (yunusbayev) @ 4.24
15 95.9% nepalese-a (xing) + 4.1% finnish (1000genomes) @ 4.27
16 94.7% nepalese-a (xing) + 5.3% hungarian (behar) @ 4.28
17 95% nepalese-a (xing) + 5% mordovian (yunusbayev) @ 4.31
18 95.7% nepalese-a (xing) + 4.3% lithuanian (behar) @ 4.34
19 92.3% nepalese-a (xing) + 7.7% great-andamanese (reich) @ 4.35
20 52.2% bengali-brahmin (harappa) + 47.8% haryana-jatt (harappa) @ 4.36
Bhandari
Admix Results (sorted):
# Population Percent
1 S-Indian 34.03
2 Baloch 33.02
3 NE-Euro 10.87
4 Caucasian 9.16
5 NE-Asian 6.84
6 Mediterranean 2.16
7 Beringian 1.51
8 Siberian 1.2
9 American 0.69
10 Papuan 0.35
11 SE-Asian 0.16
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 6.43
2 nepalese-a (xing) 6.51
3 kashmiri (harappa) 8.48
4 punjabi (harappa) 8.52
5 kashmiri-pandit (reich) 8.83
6 singapore-indian-c (sgvp) 8.99
7 punjabi-brahmin (harappa) 9.01
8 up-brahmin (harappa) 9.37
9 kashmiri-pahari (harappa) 9.46
10 punjabi-jatt-muslim (harappa) 9.6
11 bengali-brahmin (harappa) 9.8
12 gujarati-muslim (harappa) 9.85
13 punjabi-ramgarhia (harappa) 9.91
14 bihari-muslim (harappa) 10.74
15 punjabi-jatt-sikh (harappa) 10.8
16 brahmin-uttar-pradesh (metspalu) 10.81
17 punjabi-khatri (harappa) 10.9
18 haryana-jatt (harappa) 11.85
19 vaish (reich) 12.35
20 sindhi (harappa) 12.61
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 81.7% up-brahmin (harappa) + 18.3% uyghur (hgdp) @ 3.28
2 68.8% punjabi-brahmin (harappa) + 31.2% nepalese-c (xing) @ 3.36
3 85.3% punjabi-brahmin (harappa) + 14.7% nepalese-b (xing) @ 3.41
4 57% kanjar (metspalu) + 43% tajik (yunusbayev) @ 3.57
5 58.8% up-muslim (metspalu) + 41.2% tajik (yunusbayev) @ 3.58
6 79.5% brahmin-uttar-pradesh (metspalu) + 20.5% uyghur (hgdp) @ 3.74
7 75.2% burusho (hgdp) + 24.8% chenchu (reich) @ 3.76
8 82.3% burusho (hgdp) + 17.7% paniya (chaubey) @ 3.84
9 81.6% up-brahmin (harappa) + 18.4% hazara (hgdp) @ 3.86
10 89.8% up-brahmin (harappa) + 10.2% tu (hgdp) @ 3.94
11 82% burusho (hgdp) + 18% pulliyar (metspalu) @ 3.96
12 78.4% up-muslim (harappa) + 21.6% nepalese-c (xing) @ 3.98
13 89.6% up-brahmin (harappa) + 10.4% xibo (hgdp) @ 4.06
14 69.5% singapore-indian-c (sgvp) + 30.5% nepalese-c (xing) @ 4.08
15 58.3% dharkar (metspalu) + 41.7% tajik (yunusbayev) @ 4.11
16 70.1% kashmiri-pandit (reich) + 29.9% nepalese-c (xing) @ 4.11
17 90.6% up-brahmin (harappa) + 9.4% han-nchina (hgdp) @ 4.13
18 82% burusho (hgdp) + 18% irula (xing) @ 4.16
19 90.4% up-brahmin (harappa) + 9.6% japanese (hgdp) @ 4.17
20 57.8% tharu (metspalu) + 42.2% tajik (yunusbayev) @ 4.17
Sapkota
Admix Results (sorted):
# Population Percent
1 Baloch 34.57
2 S-Indian 34.46
3 NE-Euro 11.12
4 Caucasian 8.59
5 SE-Asian 3.3
6 American 2.84
7 NE-Asian 2.13
8 Mediterranean 1.74
9 Siberian 0.63
10 Papuan 0.5
11 Beringian 0.12
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 4.95
2 nepalese-a (xing) 5.95
3 punjabi-brahmin (harappa) 6.9
4 singapore-indian-c (sgvp) 6.9
5 punjabi (harappa) 6.91
6 kashmiri-pandit (reich) 7.18
7 up-brahmin (harappa) 7.24
8 punjabi-ramgarhia (harappa) 7.93
9 kashmiri-pahari (harappa) 8.12
10 kashmiri (harappa) 8.17
11 punjabi-jatt-muslim (harappa) 8.17
12 bengali-brahmin (harappa) 8.26
13 brahmin-uttar-pradesh (metspalu) 8.75
14 gujarati-muslim (harappa) 8.98
15 punjabi-jatt-sikh (harappa) 9.03
16 punjabi-khatri (harappa) 9.44
17 bihari-muslim (harappa) 9.73
18 haryana-jatt (harappa) 10.49
19 vaish (reich) 10.79
20 punjabi-arain (xing) 10.86
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 81.8% punjabi-jatt-sikh (harappa) + 18.2% sahariya (reich) @ 3.39
2 85% punjabi-jatt-sikh (harappa) + 15% santhal (reich) @ 3.41
3 61.8% haryana-jatt (harappa) + 38.2% bengali (harappa) @ 3.46
4 85.7% punjabi-jatt-sikh (harappa) + 14.3% kharia (chaubey) @ 3.46
5 84.7% punjabi-jatt-sikh (harappa) + 15.3% asur (chaubey) @ 3.48
6 85.7% punjabi-jatt-sikh (harappa) + 14.3% ho (chaubey) @ 3.48
7 87.9% punjabi-brahmin (harappa) + 12.1% khasi (chaubey) @ 3.52
8 85.8% punjabi-brahmin (harappa) + 14.2% great-andamanese (reich) @ 3.53
9 65.9% punjabi-jatt-sikh (harappa) + 34.1% bengali (harappa) @ 3.53
10 87.7% punjabi-brahmin (harappa) + 12.3% onge (reich) @ 3.56
11 85.8% punjabi-jatt-sikh (harappa) + 14.2% savara (chaubey) @ 3.56
12 64.9% bengali-brahmin (harappa) + 35.1% pathan (hgdp) @ 3.62
13 79.6% bengali-brahmin (harappa) + 20.4% tajik (yunusbayev) @ 3.63
14 70.5% bengali-brahmin (harappa) + 29.5% pashtun (harappa) @ 3.71
15 58.9% up-muslim (harappa) + 41.1% nepalese-a (xing) @ 3.74
16 73.1% bhatia (harappa) + 26.9% sahariya (reich) @ 3.75
17 79% punjabi-jatt-sikh (harappa) + 21% satnami (reich) @ 3.75
18 83.7% punjabi-jatt-sikh (harappa) + 16.3% nihali (metspalu) @ 3.8
19 65.5% haryana-jatt (harappa) + 34.5% kerala-muslim (harappa) @ 3.81
20 80.9% punjabi-jatt-sikh (harappa) + 19.1% gond (metspalu) @ 3.81
Poudel/Paudel
Admix Results (sorted):
# Population Percent
1 Baloch 34.03
2 S-Indian 33.54
3 NE-Euro 12.07
4 Caucasian 6.45
5 NE-Asian 4.01
6 Mediterranean 3.39
7 Papuan 1.77
8 SW-Asian 0.98
9 Beringian 0.93
10 Siberian 0.88
11 American 0.86
12 SE-Asian 0.78
13 Pygmy 0.31
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 4.68
2 up-muslim (harappa) 6.04
3 up-brahmin (harappa) 7.56
4 singapore-indian-c (sgvp) 7.84
5 punjabi (harappa) 7.94
6 punjabi-brahmin (harappa) 8.19
7 punjabi-ramgarhia (harappa) 8.59
8 bengali-brahmin (harappa) 8.64
9 kashmiri-pandit (reich) 8.76
10 kashmiri-pahari (harappa) 8.83
11 punjabi-jatt-muslim (harappa) 9
12 punjabi-jatt-sikh (harappa) 9.13
13 brahmin-uttar-pradesh (metspalu) 9.2
14 kashmiri (harappa) 9.3
15 haryana-jatt (harappa) 9.82
16 gujarati-muslim (harappa) 10.11
17 bihari-muslim (harappa) 10.46
18 punjabi-khatri (harappa) 10.72
19 vaish (reich) 10.96
20 punjabi-arain (xing) 11.72
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 89.2% nepalese-a (xing) + 10.8% romanian-b (behar) @ 2.9
2 64% haryana-jatt (harappa) + 36% bengali (harappa) @ 3.03
3 95.2% nepalese-a (xing) + 4.8% sardinian (hgdp) @ 3.06
4 94% nepalese-a (xing) + 6% morocco-jew (behar) @ 3.17
5 95% nepalese-a (xing) + 5% morocco-n (henn2012) @ 3.19
6 95.3% nepalese-a (xing) + 4.7% tunisia (henn2012) @ 3.2
7 94.1% nepalese-a (xing) + 5.9% sephardic-jew (behar) @ 3.24
8 85.8% up-brahmin (harappa) + 14.2% uyghur (hgdp) @ 3.25
9 73.1% vaish (reich) + 26.9% tajik (yunusbayev) @ 3.27
10 94.9% nepalese-a (xing) + 5.1% algeria (henn2012) @ 3.27
11 94% nepalese-a (xing) + 6% ashkenazy-jew (behar) @ 3.3
12 95% nepalese-a (xing) + 5% moroccan (behar) @ 3.31
13 94.2% nepalese-a (xing) + 5.8% tuscan (1000genomes) @ 3.32
14 95.2% nepalese-a (xing) + 4.8% mozabite (hgdp) @ 3.32
15 94% nepalese-a (xing) + 6% ashkenazi (harappa) @ 3.32
16 95.3% nepalese-a (xing) + 4.7% saharawi (henn2012) @ 3.34
17 94.9% nepalese-a (xing) + 5.1% libya (henn2012) @ 3.35
18 78.1% bengali-brahmin (harappa) + 21.9% tajik (yunusbayev) @ 3.35
19 94.7% nepalese-a (xing) + 5.3% egypt (henn2012) @ 3.38
20 94.5% nepalese-a (xing) + 5.5% italian (hgdp) @ 3.39
Narration
09-28-2020, 12:31 PM
I didn't expect that much of NE Asia.
Kaazi
09-30-2020, 07:33 AM
Wow. The first and the only Thakuri kit so far. Looks like East Asian shifted Chhetri. However, the "S-Indian" is pretty consistent with Chhetris; the "Baloch" component is mostly traded off with "NE-Asian". Since Thakuris are not homogeneous, the person's ancestry would be important here. @Godardt, you have it now.
Kit A270337 (Last name- Thakuri) 169219 SNPs used in this evaluation
Admix Results (sorted):
# Population Percent
1 S-Indian 31.36
2 NE-Asian 28.24
3 Baloch 19.79
4 NE-Euro 5.79
5 Siberian 3.72
6 Caucasian 3.13
7 SE-Asian 3.09
8 Papuan 1.75
9 SW-Asian 1.46
10 American 1.09
11 Mediterranean 0.42
12 Beringian 0.16
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 7.3
2 nepalese-b (xing) 24.26
3 bengali (harappa) 27.16
4 hazara (hgdp) 28.23
5 uyghur (hgdp) 28.28
6 khasi (chaubey) 29.02
7 nepalese-a (xing) 29.05
8 up-muslim (harappa) 29.38
9 burusho (hgdp) 29.72
10 bengali-brahmin (harappa) 29.73
11 bihari-muslim (harappa) 29.99
12 kashmiri (harappa) 30.71
13 gujarati-muslim (harappa) 31.07
14 great-andamanese (reich) 31.08
15 cochin-jew (behar) 31.6
16 punjabi (harappa) 31.9
17 uzbek (behar) 31.92
18 sri-lankan (harappa) 32.04
19 bihari (harappa) 32.31
20 vaish (reich) 32.36
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 61.7% bihari (harappa) + 38.3% tu (hgdp) @ 2.61
2 60.3% srivastava (reich) + 39.7% tu (hgdp) @ 2.62
3 55.1% nepalese-b (xing) + 44.9% bengali-brahmin (harappa) @ 2.92
4 61.5% caribbean-indian (harappa) + 38.5% tu (hgdp) @ 3.08
5 66.6% bihari-muslim (harappa) + 33.4% naga (metspalu) @ 3.15
6 84% nepalese-c (xing) + 16% garo (chaubey) @ 3.17
7 61.4% up (harappa) + 38.6% tu (hgdp) @ 3.29
8 66.8% bengali-brahmin (harappa) + 33.2% naga (metspalu) @ 3.32
9 60.6% ap-brahmin (xing) + 39.4% tu (hgdp) @ 3.33
10 67% bihari-muslim (harappa) + 33% aonaga (reich) @ 3.36
11 57.3% nepalese-b (xing) + 42.7% up-brahmin (harappa) @ 3.39
12 55.4% nepalese-b (xing) + 44.6% bihari-muslim (harappa) @ 3.44
13 67.2% bengali-brahmin (harappa) + 32.8% aonaga (reich) @ 3.44
14 66.5% bengali-brahmin (harappa) + 33.5% nysha (reich) @ 3.45
15 57.3% nepalese-b (xing) + 42.7% brahmin-uttar-pradesh (metspalu) @ 3.46
16 66.3% bihari-muslim (harappa) + 33.7% nysha (reich) @ 3.47
17 61.7% karnataka-brahmin (harappa) + 38.3% tu (hgdp) @ 3.57
18 62% srivastava (reich) + 38% japanese (hgdp) @ 3.59
19 57.3% nepalese-b (xing) + 42.7% vaish (reich) @ 3.69
20 60.4% up-muslim (metspalu) + 39.6% tu (hgdp) @ 3.7
Godardt
09-30-2020, 08:36 AM
Wow. The first and the only Thakuri kit so far. Looks like East Asian shifted Chhetri. However, the "S-Indian" is pretty consistent with Chhetris; the "Baloch" component is mostly traded off with "NE-Asian". Since Thakuris are not homogeneous, the person's ancestry would be important here. @Godardt, you have it now.
Kit A270337 (Last name- Thakuri) 169219 SNPs used in this evaluation
Admix Results (sorted):
#PopulationPercent
1 S-Indian 31.36
2 NE-Asian 28.24
3 Baloch 19.79
4 NE-Euro 5.79
5 Siberian 3.72
6 Caucasian 3.13
7 SE-Asian 3.09
8 Papuan 1.75
9 SW-Asian 1.46
10 American 1.09
11 Mediterranean 0.42
12 Beringian 0.16
Single Population Sharing:
#Population (source)Distance
1 nepalese-c (xing) 7.3
2 nepalese-b (xing) 24.26
3 bengali (harappa) 27.16
4 hazara (hgdp) 28.23
5 uyghur (hgdp) 28.28
6 khasi (chaubey) 29.02
7 nepalese-a (xing) 29.05
8 up-muslim (harappa) 29.38
9 burusho (hgdp) 29.72
10 bengali-brahmin (harappa) 29.73
11 bihari-muslim (harappa) 29.99
12 kashmiri (harappa) 30.71
13 gujarati-muslim (harappa) 31.07
14 great-andamanese (reich) 31.08
15 cochin-jew (behar) 31.6
16 punjabi (harappa) 31.9
17 uzbek (behar) 31.92
18 sri-lankan (harappa) 32.04
19 bihari (harappa) 32.31
20 vaish (reich) 32.36
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 61.7%bihari (harappa) + 38.3%tu (hgdp) @ 2.61
2 60.3%srivastava (reich) + 39.7%tu (hgdp) @ 2.62
3 55.1%nepalese-b (xing) + 44.9%bengali-brahmin (harappa) @ 2.92
4 61.5%caribbean-indian (harappa) + 38.5%tu (hgdp) @ 3.08
5 66.6%bihari-muslim (harappa) + 33.4%naga (metspalu) @ 3.15
6 84%nepalese-c (xing) + 16%garo (chaubey) @ 3.17
7 61.4%up (harappa) + 38.6%tu (hgdp) @ 3.29
8 66.8%bengali-brahmin (harappa) + 33.2%naga (metspalu) @ 3.32
9 60.6%ap-brahmin (xing) + 39.4%tu (hgdp) @ 3.33
10 67%bihari-muslim (harappa) + 33%aonaga (reich) @ 3.36
11 57.3%nepalese-b (xing) + 42.7%up-brahmin (harappa) @ 3.39
12 55.4%nepalese-b (xing) + 44.6%bihari-muslim (harappa) @ 3.44
13 67.2%bengali-brahmin (harappa) + 32.8%aonaga (reich) @ 3.44
14 66.5%bengali-brahmin (harappa) + 33.5%nysha (reich) @ 3.45
15 57.3%nepalese-b (xing) + 42.7%brahmin-uttar-pradesh (metspalu) @ 3.46
16 66.3%bihari-muslim (harappa) + 33.7%nysha (reich) @ 3.47
17 61.7%karnataka-brahmin (harappa) + 38.3%tu (hgdp) @ 3.57
18 62%srivastava (reich) + 38%japanese (hgdp) @ 3.59
19 57.3%nepalese-b (xing) + 42.7%vaish (reich) @ 3.69
20 60.4%up-muslim (metspalu) + 39.6%tu (hgdp) @ 3.7
Thanks, I am not a racist, but some of these Thakuris really get on the nerves harping Jaat Jaat. I was really curious what the big deal was. Thanks friend.
Sent from my Mi 10 using Tapatalk
Thambi
09-30-2020, 09:19 AM
Wow. The first and the only Thakuri kit so far. Looks like East Asian shifted Chhetri. However, the "S-Indian" is pretty consistent with Chhetris; the "Baloch" component is mostly traded off with "NE-Asian". Since Thakuris are not homogeneous, the person's ancestry would be important here. @Godardt, you have it now.
Kit A270337 (Last name- Thakuri) 169219 SNPs used in this evaluation
Admix Results (sorted):
# Population Percent
1 S-Indian 31.36
2 NE-Asian 28.24
3 Baloch 19.79
4 NE-Euro 5.79
5 Siberian 3.72
6 Caucasian 3.13
7 SE-Asian 3.09
8 Papuan 1.75
9 SW-Asian 1.46
10 American 1.09
11 Mediterranean 0.42
12 Beringian 0.16
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 7.3
2 nepalese-b (xing) 24.26
3 bengali (harappa) 27.16
4 hazara (hgdp) 28.23
5 uyghur (hgdp) 28.28
6 khasi (chaubey) 29.02
7 nepalese-a (xing) 29.05
8 up-muslim (harappa) 29.38
9 burusho (hgdp) 29.72
10 bengali-brahmin (harappa) 29.73
11 bihari-muslim (harappa) 29.99
12 kashmiri (harappa) 30.71
13 gujarati-muslim (harappa) 31.07
14 great-andamanese (reich) 31.08
15 cochin-jew (behar) 31.6
16 punjabi (harappa) 31.9
17 uzbek (behar) 31.92
18 sri-lankan (harappa) 32.04
19 bihari (harappa) 32.31
20 vaish (reich) 32.36
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 61.7% bihari (harappa) + 38.3% tu (hgdp) @ 2.61
2 60.3% srivastava (reich) + 39.7% tu (hgdp) @ 2.62
3 55.1% nepalese-b (xing) + 44.9% bengali-brahmin (harappa) @ 2.92
4 61.5% caribbean-indian (harappa) + 38.5% tu (hgdp) @ 3.08
5 66.6% bihari-muslim (harappa) + 33.4% naga (metspalu) @ 3.15
6 84% nepalese-c (xing) + 16% garo (chaubey) @ 3.17
7 61.4% up (harappa) + 38.6% tu (hgdp) @ 3.29
8 66.8% bengali-brahmin (harappa) + 33.2% naga (metspalu) @ 3.32
9 60.6% ap-brahmin (xing) + 39.4% tu (hgdp) @ 3.33
10 67% bihari-muslim (harappa) + 33% aonaga (reich) @ 3.36
11 57.3% nepalese-b (xing) + 42.7% up-brahmin (harappa) @ 3.39
12 55.4% nepalese-b (xing) + 44.6% bihari-muslim (harappa) @ 3.44
13 67.2% bengali-brahmin (harappa) + 32.8% aonaga (reich) @ 3.44
14 66.5% bengali-brahmin (harappa) + 33.5% nysha (reich) @ 3.45
15 57.3% nepalese-b (xing) + 42.7% brahmin-uttar-pradesh (metspalu) @ 3.46
16 66.3% bihari-muslim (harappa) + 33.7% nysha (reich) @ 3.47
17 61.7% karnataka-brahmin (harappa) + 38.3% tu (hgdp) @ 3.57
18 62% srivastava (reich) + 38% japanese (hgdp) @ 3.59
19 57.3% nepalese-b (xing) + 42.7% vaish (reich) @ 3.69
20 60.4% up-muslim (metspalu) + 39.6% tu (hgdp) @ 3.7
Yeah i always wonder why bahuns and chhetris have pretty much the same ASI, even when the chhetri is like almost 35-40% East asian/siberian like that khadka sample i posted. Chhetris as a group formed after bahuns mixed with magar/mongoloid groups right? It should decrease all south indian and baloch proportionally but thats not the case. Even if we assume overtime they got more indic mix from mixing with bahuns, it doesnt explain why it only lowers baloch but not the S.indian
Kamal900
09-30-2020, 10:27 AM
Yeah i always wonder why bahuns and chhetris have pretty much the same ASI, even when the chhetri is like almost 35-40% East asian/siberian like that khadka sample i posted. Chhetris as a group formed after bahuns mixed with magar/mongoloid groups right? It should decrease all south indian and baloch proportionally but thats not the case. Even if we assume overtime they got more indic mix from mixing with bahuns, it doesnt explain why it only lowers baloch but not the S.indian
Bro, can you do a thread about Bengalis or Malyalis and their closest genetic cousins, please? I'm very interested in the genetics of South Asians as a whole, rofl.
Godardt
09-30-2020, 11:12 AM
I assume after coming across several writeups most Bahuns, Chettris and Dalits sprung up from Khas pastoralists.
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Kaazi
10-01-2020, 02:34 AM
Yeah i always wonder why bahuns and chhetris have pretty much the same ASI, even when the chhetri is like almost 35-40% East asian/siberian like that khadka sample i posted. Chhetris as a group formed after bahuns mixed with magar/mongoloid groups right? It should decrease all south indian and baloch proportionally but thats not the case. Even if we assume overtime they got more indic mix from mixing with bahuns, it doesnt explain why it only lowers baloch but not the S.indian
Yeah, that's what I don't get. Chhetris are basically from the same South Asian stock (Khasa) as that of Brahmins/Bahuns, not that Chhetris are created from Bahuns though some Bahuns are absorbed into the Chhetri community. Chhetris gained more TB admixes that it should have been that Average Chhetris = Average Bahuns+ 20% Tibeto-Burmese. However, the S-Indian is same among both, though Chhetris being more East Asian admixed or say S-Indian/Baloch ratio is higher in Chhetris than Bahuns. That's also fine, Chhetris could be more AASI than Bahuns. However, both the heavy Tibetan shifted Khadka sample and the Thakuri sample have no significant reduction in their S-Indian from average Chhetri, or say they have insanely high S-Indian/Baloch ratio at 1.93 & 1.58 respectively compared to 1.30 for average Chhetris. If it was proportionate reduction of S-Indian & Baloch in both, it would have been closer towards that.
Also, surprisingly that the least East Asian admixed Chhetri (Kunwar sample) doesn't exceed 35% S-Indian as well (should've been 37%-39% S-Indian going by that S-Indian/Baloch ratio). That shows whatever East Asian proportion Chhetris have, they score S-Indian between 30%-35%. Baloch is mostly traded off/fluctuated for NE-Asian.
Kit: GF3670325 Kunwar (Chhetri) - 15% East Asian/Siberian. 169106 SNPs used in this evaluation
Admix Results (sorted):
# Population Percent
1 S-Indian 34.75
2 Baloch 30.47
3 NE-Euro 11.86
4 NE-Asian 11.4
5 Caucasian 4.64
6 Siberian 2.17
7 Mediterranean 1.74
8 SE-Asian 1.07
Kaazi
10-08-2020, 06:17 PM
Interestingly, I expected Sherpa to be the most Tibetan shifted but they're scoring more or less similar South Asian admix as Kirantis (Rai/Limbu) so far.
Tibeto-Burmese
Kit XW1456647 Yangchen (Sherpa)- relative of the Yangchen Sherpa on 1st page. Scores some NE-Euro, Caucasian as well.
Admix Results (sorted):
# Population Percent
1 NE-Asian 67.86
2 Siberian 11.86
3 S-Indian 8.87
4 SE-Asian 3.39
5 Papuan 1.88
6 Caucasian 1.76
7 American 1.43
8 NE-Euro 1.37
9 Beringian 0.91
10 E-African 0.67
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 8.23
2 tibet (simonson) 10.57
3 xibo (hgdp) 12
4 japanese (hgdp) 12.35
5 naxi (hgdp) 13.6
6 nysha (reich) 14.4
7 mongola (hgdp) 15
8 naga (metspalu) 15.07
9 yi (hgdp) 15.18
10 han-nchina (hgdp) 16.06
11 aonaga (reich) 16.44
12 chinese-beijing (1000genomes) 20.24
13 chinese-beijing (hapmap) 20.42
14 hezhen (hgdp) 21.81
15 daur (hgdp) 22.84
16 nepalese-b (xing) 24.43
17 tujia (hgdp) 28.34
18 japanese (xing) 28.51
19 chinese-american (hapmap) 28.88
20 han (hgdp) 31.4
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 83.8% tibet (simonson) + 16.2% khasi (chaubey) @ 2.97
2 87.1% tibet (simonson) + 12.9% great-andamanese (reich) @ 3.48
3 87.6% tibet (simonson) + 12.4% onge (reich) @ 3.83
4 89.7% tibet (simonson) + 10.3% juang (chaubey) @ 4.03
5 89.7% tibet (simonson) + 10.3% bonda (chaubey) @ 4.05
6 78.1% tibet (simonson) + 21.9% burmanese (chaubey) @ 4.17
7 77.2% tibet (simonson) + 22.8% garo (chaubey) @ 4.27
8 90% tibet (simonson) + 10% kharia (chaubey) @ 4.37
9 90% tibet (simonson) + 10% savara (chaubey) @ 4.44
10 89.6% tibet (simonson) + 10.4% sahariya (reich) @ 4.52
11 90.1% tibet (simonson) + 9.9% ho (chaubey) @ 4.52
12 90.3% tibet (simonson) + 9.7% santhal (reich) @ 4.93
13 90.3% tibet (simonson) + 9.7% asur (chaubey) @ 4.93
14 93.4% tu (hgdp) + 6.6% pulliyar (metspalu) @ 4.96
15 93.4% tu (hgdp) + 6.6% paniya (chaubey) @ 4.98
16 88.7% tibet (simonson) + 11.3% bengali (harappa) @ 4.98
17 89.2% tibet (simonson) + 10.8% thai (xing) @ 5.04
18 93.5% tu (hgdp) + 6.5% irula (xing) @ 5.05
19 88.7% tibet (simonson) + 11.3% romanian-b (behar) @ 5.06
20 90% tibet (simonson) + 10% gond (metspalu) @ 5.08
Kit UG8828433 Likely Gurung/Magar
Admix Results (sorted):
# Population Percent
1 NE-Asian 62.81
2 S-Indian 16.3
3 Siberian 10.51
4 SE-Asian 5.14
5 Baloch 2.49
6 NE-Euro 1.31
7 Papuan 0.76
8 Mediterranean 0.68
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 15.13
2 nepalese-b (xing) 16.67
3 naxi (hgdp) 17.52
4 xibo (hgdp) 17.64
5 tibet (simonson) 17.97
6 yi (hgdp) 18.75
7 japanese (hgdp) 18.77
8 mongola (hgdp) 19.03
9 nysha (reich) 20.83
10 naga (metspalu) 21.65
11 han-nchina (hgdp) 21.77
12 aonaga (reich) 22.9
13 chinese-beijing (1000genomes) 24.31
14 chinese-beijing (hapmap) 24.4
15 hezhen (hgdp) 25.1
16 daur (hgdp) 26.04
17 garo (chaubey) 27.05
18 burmanese (chaubey) 29.4
19 tujia (hgdp) 29.56
20 chinese-american (hapmap) 30.04
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 80.7% tibet (simonson) + 19.3% sahariya (reich) @ 2.58
2 81.4% tibet (simonson) + 18.6% bonda (chaubey) @ 2.88
3 81.3% tibet (simonson) + 18.7% juang (chaubey) @ 2.88
4 81.5% tibet (simonson) + 18.5% kharia (chaubey) @ 2.98
5 81.5% tibet (simonson) + 18.5% savara (chaubey) @ 3.04
6 81.6% tibet (simonson) + 18.4% ho (chaubey) @ 3.08
7 81.7% tibet (simonson) + 18.3% asur (chaubey) @ 3.31
8 77.2% tibet (simonson) + 22.8% great-andamanese (reich) @ 3.46
9 81.7% tibet (simonson) + 18.3% santhal (reich) @ 3.47
10 81.2% tibet (simonson) + 18.8% gond (metspalu) @ 3.81
11 85.2% tu (hgdp) + 14.8% paniya (chaubey) @ 3.84
12 81.7% tibet (simonson) + 18.3% nihali (metspalu) @ 3.98
13 53.1% nepalese-b (xing) + 46.9% japanese (hgdp) @ 4.03
14 80.9% tibet (simonson) + 19.1% satnami (reich) @ 4.2
15 74.5% nysha (reich) + 25.5% great-andamanese (reich) @ 4.23
16 78% tibet (simonson) + 22% onge (reich) @ 4.24
17 85.3% tu (hgdp) + 14.7% pulliyar (metspalu) @ 4.29
18 84.7% tu (hgdp) + 15.3% mala (reich) @ 4.52
19 84.7% tu (hgdp) + 15.3% tn-dalit (xing) @ 4.58
20 84.6% tu (hgdp) + 15.4% ap-mala (xing) @ 4.61
Nepali Brahmins/Bahuns
Dhungel
Admix Results (sorted):
# Population Percent
1 S-Indian 33.57
2 Baloch 33.33
3 NE-Euro 12.43
4 Caucasian 11.67
5 Siberian 3.74
6 SE-Asian 2.24
7 Mediterranean 1.23
8 NE-Asian 1.19
9 American 0.4
10 Papuan 0.12
11 Beringian 0.09
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 5.8
2 kashmiri-pandit (reich) 7.11
3 kashmiri (harappa) 7.43
4 punjabi (harappa) 7.53
5 nepalese-a (xing) 7.54
6 punjabi-brahmin (harappa) 7.75
7 punjabi-jatt-muslim (harappa) 8.12
8 singapore-indian-c (sgvp) 8.31
9 punjabi-khatri (harappa) 8.56
10 punjabi-jatt-sikh (harappa) 8.93
11 up-brahmin (harappa) 9.07
12 punjabi-ramgarhia (harappa) 9.21
13 gujarati-muslim (harappa) 9.36
14 kashmiri-pahari (harappa) 9.52
15 haryana-jatt (harappa) 10.02
16 bengali-brahmin (harappa) 10.5
17 brahmin-uttar-pradesh (metspalu) 10.84
18 sindhi (harappa) 10.98
19 bihari-muslim (harappa) 11.35
20 punjabi-arain (xing) 12.04
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 83.3% up-brahmin (harappa) + 16.7% nogai (yunusbayev) @ 2.89
2 59.7% srivastava (reich) + 40.3% tajik (yunusbayev) @ 2.92
3 81% bengali-brahmin (harappa) + 19% urkarah (xing) @ 3.06
4 80.5% brahmin-uttar-pradesh (metspalu) + 19.5% nogai (yunusbayev) @ 3.09
5 81.6% bengali-brahmin (harappa) + 18.4% lezgin (behar) @ 3.2
6 75.8% brahmin-uttar-pradesh (metspalu) + 24.2% turkmen (yunusbayev) @ 3.28
7 75.6% up-kshatriya (metspalu) + 24.4% stalskoe (xing) @ 3.37
8 80.7% bengali-brahmin (harappa) + 19.3% stalskoe (xing) @ 3.41
9 81.5% brahmin-uttar-pradesh (metspalu) + 18.5% kumyk (yunusbayev) @ 3.43
10 76% gujarati-b (hapmap) + 24% nogai (yunusbayev) @ 3.43
11 76.3% up-kshatriya (metspalu) + 23.7% nogai (yunusbayev) @ 3.48
12 80.2% brahmin-uttar-pradesh (metspalu) + 19.8% stalskoe (xing) @ 3.54
13 82.9% bengali-brahmin (harappa) + 17.1% chechen (yunusbayev) @ 3.62
14 84.5% up-brahmin (harappa) + 15.5% kumyk (yunusbayev) @ 3.68
15 79.9% bihari-muslim (harappa) + 20.1% urkarah (xing) @ 3.7
16 76.3% up-kshatriya (metspalu) + 23.7% urkarah (xing) @ 3.73
17 86% up-brahmin (harappa) + 14% balkar (yunusbayev) @ 3.73
18 77% vaish (reich) + 23% stalskoe (xing) @ 3.75
19 79.7% up-brahmin (harappa) + 20.3% turkmen (yunusbayev) @ 3.76
20 71.4% bihari-muslim (harappa) + 28.6% tajik (yunusbayev) @ 3.78
Paudel/Poudel YDNA: R1a1a; mtDNA: R5a2b
Admix Results (sorted):
# Population Percent
1 S-Indian 36.73
2 Baloch 35.34
3 NE-Euro 14.16
4 Caucasian 5
5 NE-Asian 3.13
6 Siberian 1.79
7 American 1.52
8 Mediterranean 1.45
9 Beringian 0.64
10 Papuan 0.24
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 3.72
2 up-brahmin (harappa) 5.14
3 brahmin-uttar-pradesh (metspalu) 6.2
4 bengali-brahmin (harappa) 7.03
5 singapore-indian-c (sgvp) 8.29
6 punjabi-brahmin (harappa) 8.35
7 up-muslim (harappa) 8.35
8 vaish (reich) 8.59
9 punjabi-ramgarhia (harappa) 8.75
10 bihari-muslim (harappa) 9.2
11 punjabi (harappa) 9.34
12 kashmiri-pahari (harappa) 9.57
13 kashmiri-pandit (reich) 9.87
14 up-kshatriya (metspalu) 9.93
15 gujarati-b (hapmap) 10.35
16 punjabi-jatt-sikh (harappa) 10.79
17 haryana-jatt (harappa) 11.18
18 punjabi-jatt-muslim (harappa) 11.25
19 karnataka-brahmin (harappa) 11.34
20 meghawal (reich) 11.46
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 95% nepalese-a (xing) + 5% irula (xing) @ 2.38
2 95% nepalese-a (xing) + 5% pulliyar (metspalu) @ 2.39
3 92.6% nepalese-a (xing) + 7.4% chenchu (reich) @ 2.4
4 95.1% nepalese-a (xing) + 4.9% paniya (chaubey) @ 2.4
5 66.8% nepalese-a (xing) + 33.2% brahmin-uttar-pradesh (metspalu) @ 2.41
6 92.9% nepalese-a (xing) + 7.1% north-kannadi (chaubey) @ 2.57
7 94% nepalese-a (xing) + 6% nihali (metspalu) @ 2.58
8 93.4% nepalese-a (xing) + 6.6% ap-mala (xing) @ 2.6
9 92.3% nepalese-a (xing) + 7.7% bhil (reich) @ 2.61
10 84.8% nepalese-a (xing) + 15.2% srivastava (reich) @ 2.61
11 93.5% nepalese-a (xing) + 6.5% mala (reich) @ 2.62
12 93.4% nepalese-a (xing) + 6.6% tn-dalit (xing) @ 2.62
13 93.1% nepalese-a (xing) + 6.9% hakkipikki (metspalu) @ 2.62
14 93.2% nepalese-a (xing) + 6.8% kurumba (reich) @ 2.63
15 71.2% nepalese-a (xing) + 28.8% bengali-brahmin (harappa) @ 2.63
16 92.9% nepalese-a (xing) + 7.1% gond (metspalu) @ 2.65
17 75.8% nepalese-a (xing) + 24.2% vaish (reich) @ 2.65
18 92.2% nepalese-a (xing) + 7.8% chamar (metspalu) @ 2.67
19 92.2% nepalese-a (xing) + 7.8% satnami (reich) @ 2.68
20 90.8% nepalese-a (xing) + 9.2% tharu (reich) @ 2.7
AGUser_relative#1 - the most Steppe shifted among Bahuns
Admix Results (sorted):
# Population Percent
1 Baloch 34.4
2 S-Indian 34.09
3 NE-Euro 16.2
4 Caucasian 6.22
5 NE-Asian 2.96
6 Mediterranean 2.42
7 Siberian 1.3
8 Beringian 0.93
9 Papuan 0.75
10 SW-Asian 0.31
11 SE-Asian 0.21
12 American 0.21
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 4.75
2 up-brahmin (harappa) 7.49
3 haryana-jatt (harappa) 8.55
4 up-muslim (harappa) 8.8
5 punjabi-brahmin (harappa) 8.86
6 singapore-indian-c (sgvp) 8.92
7 brahmin-uttar-pradesh (metspalu) 9.02
8 punjabi-jatt-sikh (harappa) 9.55
9 bengali-brahmin (harappa) 9.63
10 punjabi (harappa) 9.72
11 punjabi-ramgarhia (harappa) 9.8
12 kashmiri-pandit (reich) 10.05
13 kashmiri-pahari (harappa) 10.46
14 punjabi-jatt-muslim (harappa) 10.88
15 kashmiri (harappa) 11.13
16 vaish (reich) 11.42
17 punjabi-khatri (harappa) 11.48
18 bihari-muslim (harappa) 11.82
19 gujarati-muslim (harappa) 12.97
20 up-kshatriya (metspalu) 13
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 94% nepalese-a (xing) + 6% belorussian (behar) @ 2.76
2 94% nepalese-a (xing) + 6% russian (behar) @ 2.76
3 93.7% nepalese-a (xing) + 6.3% ukranian (yunusbayev) @ 2.8
4 94.5% nepalese-a (xing) + 5.5% lithuanian (behar) @ 2.83
5 93.5% nepalese-a (xing) + 6.5% slovenian (xing) @ 2.85
6 93.5% nepalese-a (xing) + 6.5% hungarian (behar) @ 2.93
7 95.1% nepalese-a (xing) + 4.9% finnish (1000genomes) @ 2.95
8 93.9% nepalese-a (xing) + 6.1% n-european (xing) @ 2.98
9 93.9% nepalese-a (xing) + 6.1% mordovian (yunusbayev) @ 2.99
10 89.2% up-brahmin (harappa) + 10.8% mordovian (yunusbayev) @ 3.02
11 94% nepalese-a (xing) + 6% utahn-white (1000genomes) @ 3.1
12 88.3% up-brahmin (harappa) + 11.7% chuvash (behar) @ 3.12
13 89.7% up-brahmin (harappa) + 10.3% russian (hgdp) @ 3.13
14 89.3% up-brahmin (harappa) + 10.7% ukranian (yunusbayev) @ 3.14
15 94.1% nepalese-a (xing) + 5.9% british (1000genomes) @ 3.15
16 94.2% nepalese-a (xing) + 5.8% orcadian (hgdp) @ 3.16
17 90% up-brahmin (harappa) + 10% belorussian (behar) @ 3.19
18 89.9% up-brahmin (harappa) + 10.1% russian (behar) @ 3.22
19 94.1% nepalese-a (xing) + 5.9% french (hgdp) @ 3.24
20 93.6% nepalese-a (xing) + 6.4% romanian-a (behar) @ 3.25
AGUser_relative#2 (Also Bahun)
Admix Results (sorted):
# Population Percent
1 S-Indian 33.7
2 Baloch 32.25
3 NE-Euro 14.09
4 Caucasian 7.77
5 NE-Asian 4.37
6 Mediterranean 2.56
7 American 1.45
8 Beringian 1.27
9 Siberian 1.09
10 SE-Asian 0.79
11 SW-Asian 0.36
12 Papuan 0.29
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 5.83
2 up-muslim (harappa) 7.15
3 up-brahmin (harappa) 8.58
4 punjabi-brahmin (harappa) 9.21
5 singapore-indian-c (sgvp) 9.37
6 punjabi (harappa) 9.38
7 bengali-brahmin (harappa) 9.4
8 haryana-jatt (harappa) 9.57
9 kashmiri-pandit (reich) 9.66
10 kashmiri (harappa) 9.76
11 brahmin-uttar-pradesh (metspalu) 9.91
12 punjabi-jatt-sikh (harappa) 10.11
13 punjabi-jatt-muslim (harappa) 10.3
14 punjabi-ramgarhia (harappa) 10.43
15 kashmiri-pahari (harappa) 10.59
16 punjabi-khatri (harappa) 11
17 bihari-muslim (harappa) 11.2
18 gujarati-muslim (harappa) 11.47
19 vaish (reich) 11.95
20 sindhi (harappa) 13.31
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 85.7% nepalese-a (xing) + 14.3% romanian-b (behar) @ 3.17
2 65.5% haryana-jatt (harappa) + 34.5% bengali (harappa) @ 3.38
3 76% bengali-brahmin (harappa) + 24% tajik (yunusbayev) @ 3.51
4 80% brahmin-uttar-pradesh (metspalu) + 20% uzbek (behar) @ 3.53
5 83.8% up-brahmin (harappa) + 16.2% uyghur (hgdp) @ 3.61
6 82.7% up-brahmin (harappa) + 17.3% uzbek (behar) @ 3.72
7 92.1% nepalese-a (xing) + 7.9% bulgarian (yunusbayev) @ 3.81
8 81.5% brahmin-uttar-pradesh (metspalu) + 18.5% uyghur (hgdp) @ 3.85
9 92% nepalese-a (xing) + 8% romanian-a (behar) @ 3.87
10 92.1% nepalese-a (xing) + 7.9% ashkenazi (harappa) @ 3.87
11 75.1% brahmin-uttar-pradesh (metspalu) + 24.9% tajik (yunusbayev) @ 3.88
12 82.9% brahmin-uttar-pradesh (metspalu) + 17.1% nogai (yunusbayev) @ 3.88
13 92.4% nepalese-a (xing) + 7.6% tuscan (1000genomes) @ 3.91
14 70.9% vaish (reich) + 29.1% tajik (yunusbayev) @ 3.94
15 77.8% haryana-jatt (harappa) + 22.2% chenchu (metspalu) @ 4
16 92.3% nepalese-a (xing) + 7.7% ashkenazy-jew (behar) @ 4.02
17 92.8% nepalese-a (xing) + 7.2% italian (hgdp) @ 4.03
18 86.6% haryana-jatt (harappa) + 13.4% paniya (chaubey) @ 4.11
19 78.7% haryana-jatt (harappa) + 21.3% satnami (reich) @ 4.17
20 75.4% haryana-jatt (harappa) + 24.6% tharu (reich) @ 4.19
Gautam #1 YDNA: R-M417; mtDNA: R6
Admix Results (sorted):
# Population Percent
1 S-Indian 35.26
2 Baloch 33.54
3 Caucasian 10.7
4 NE-Euro 10.6
5 NE-Asian 4.71
6 American 2.27
7 Siberian 2.05
8 San 0.58
9 Papuan 0.24
10 Mediterranean 0.04
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 5.43
2 nepalese-a (xing) 6.74
3 kashmiri-pandit (reich) 7.37
4 punjabi (harappa) 7.38
5 kashmiri (harappa) 7.42
6 punjabi-brahmin (harappa) 7.77
7 singapore-indian-c (sgvp) 8.16
8 up-brahmin (harappa) 8.54
9 kashmiri-pahari (harappa) 8.74
10 punjabi-jatt-muslim (harappa) 8.81
11 gujarati-muslim (harappa) 8.87
12 punjabi-ramgarhia (harappa) 9.12
13 bengali-brahmin (harappa) 9.25
14 punjabi-khatri (harappa) 9.73
15 bihari-muslim (harappa) 9.77
16 brahmin-uttar-pradesh (metspalu) 9.89
17 punjabi-jatt-sikh (harappa) 10.49
18 vaish (reich) 11.57
19 sindhi (harappa) 11.85
20 punjabi-arain (xing) 12.12
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 80.7% burusho (hgdp) + 19.3% irula (xing) @ 3.36
2 73.7% burusho (hgdp) + 26.3% chenchu (reich) @ 3.45
3 77.5% gujarati (harappa) + 22.5% nogai (yunusbayev) @ 3.46
4 80.8% burusho (hgdp) + 19.2% pulliyar (metspalu) @ 3.49
5 60.4% up-muslim (metspalu) + 39.6% tajik (yunusbayev) @ 3.54
6 63.4% srivastava (reich) + 36.6% tajik (yunusbayev) @ 3.57
7 59.5% tharu (metspalu) + 40.5% tajik (yunusbayev) @ 3.67
8 58.5% kanjar (metspalu) + 41.5% tajik (yunusbayev) @ 3.7
9 64.5% bihari (harappa) + 35.5% tajik (yunusbayev) @ 3.72
10 79% gujarati-b (hapmap) + 21% nogai (yunusbayev) @ 3.75
11 81.3% burusho (hgdp) + 18.7% paniya (chaubey) @ 3.78
12 76% bihari-muslim (harappa) + 24% tajik (yunusbayev) @ 3.88
13 53.8% lodi (reich) + 46.2% tajik (yunusbayev) @ 3.99
14 65.8% ap-brahmin (xing) + 34.2% tajik (yunusbayev) @ 4.02
15 57.2% kashmiri (harappa) + 42.8% bengali-brahmin (harappa) @ 4.04
16 67% rajasthani (harappa) + 33% tajik (yunusbayev) @ 4.04
17 70.1% maharashtrian (harappa) + 29.9% tajik (yunusbayev) @ 4.08
18 70.3% karnataka-brahmin (harappa) + 29.7% tajik (yunusbayev) @ 4.08
19 63.3% singapore-indian-b (sgvp) + 36.7% tajik (yunusbayev) @ 4.1
20 50.8% tajik (yunusbayev) + 49.2% vysya (reich) @ 4.13
Gautam#2 YDNA: R-Y7; mtDNA: N1a1b
Admix Results (sorted):
# Population Percent
1 S-Indian 34.83
2 Baloch 34.4
3 NE-Euro 13.11
4 Caucasian 9.16
5 NE-Asian 3.01
6 Siberian 2.09
7 Beringian 1.12
8 Papuan 0.82
9 American 0.8
10 SE-Asian 0.3
11 Mediterranean 0.23
12 San 0.11
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 4.69
2 up-muslim (harappa) 5.9
3 up-brahmin (harappa) 6.68
4 punjabi-brahmin (harappa) 6.71
5 punjabi (harappa) 7.01
6 kashmiri-pandit (reich) 7.12
7 singapore-indian-c (sgvp) 7.13
8 kashmiri (harappa) 8.17
9 punjabi-ramgarhia (harappa) 8.19
10 punjabi-jatt-muslim (harappa) 8.3
11 kashmiri-pahari (harappa) 8.41
12 brahmin-uttar-pradesh (metspalu) 8.61
13 bengali-brahmin (harappa) 8.68
14 punjabi-jatt-sikh (harappa) 8.92
15 punjabi-khatri (harappa) 9.25
16 haryana-jatt (harappa) 9.88
17 gujarati-muslim (harappa) 9.94
18 bihari-muslim (harappa) 10
19 vaish (reich) 10.84
20 sindhi (harappa) 11.56
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 87.8% up-brahmin (harappa) + 12.2% nogai (yunusbayev) @ 2.33
2 77.6% brahmin-uttar-pradesh (metspalu) + 22.4% tajik (yunusbayev) @ 2.59
3 86.3% up-brahmin (harappa) + 13.7% uzbek (behar) @ 2.66
4 84.8% brahmin-uttar-pradesh (metspalu) + 15.2% nogai (yunusbayev) @ 2.97
5 87.6% up-brahmin (harappa) + 12.4% uyghur (hgdp) @ 2.98
6 73.2% vaish (reich) + 26.8% tajik (yunusbayev) @ 3
7 82.7% up-brahmin (harappa) + 17.3% tajik (yunusbayev) @ 3.09
8 81.2% brahmin-uttar-pradesh (metspalu) + 18.8% turkmen (yunusbayev) @ 3.13
9 85.5% up-brahmin (harappa) + 14.5% turkmen (yunusbayev) @ 3.16
10 87.4% up-brahmin (harappa) + 12.6% hazara (hgdp) @ 3.26
11 85.2% nepalese-a (xing) + 14.8% bene-israel-jew (behar) @ 3.32
12 50.4% haryana-jatt (harappa) + 49.6% bihari-muslim (harappa) @ 3.33
13 95.3% nepalese-a (xing) + 4.7% georgian (behar) @ 3.39
14 95.2% nepalese-a (xing) + 4.8% abhkasian (yunusbayev) @ 3.42
15 90.6% nepalese-a (xing) + 9.4% romanian-b (behar) @ 3.43
16 68.9% brahmin-uttar-pradesh (metspalu) + 31.1% pashtun (harappa) @ 3.44
17 89.3% up-brahmin (harappa) + 10.7% kumyk (yunusbayev) @ 3.46
18 78.1% bengali-brahmin (harappa) + 21.9% tajik (yunusbayev) @ 3.48
19 88.5% up-brahmin (harappa) + 11.5% stalskoe (xing) @ 3.48
20 95.3% nepalese-a (xing) + 4.7% druze (hgdp) @ 3.49
Gautam#3 YDNA: R-Y7; mtDNA: N1a1b
Admix Results (sorted):
# Population Percent
1 S-Indian 35.57
2 Baloch 35.35
3 NE-Euro 11.29
4 Caucasian 6.64
5 Beringian 2.78
6 Mediterranean 2.08
7 NE-Asian 1.99
8 Siberian 1.39
9 American 1.32
10 Papuan 1.27
11 San 0.33
12 SE-Asian 0.01
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 4.7
2 up-brahmin (harappa) 4.78
3 up-muslim (harappa) 5.59
4 punjabi-brahmin (harappa) 6.49
5 singapore-indian-c (sgvp) 6.58
6 punjabi (harappa) 6.81
7 brahmin-uttar-pradesh (metspalu) 6.98
8 punjabi-ramgarhia (harappa) 7.02
9 bengali-brahmin (harappa) 7.08
10 kashmiri-pandit (reich) 7.56
11 kashmiri-pahari (harappa) 7.61
12 punjabi-jatt-muslim (harappa) 8.24
13 bihari-muslim (harappa) 8.72
14 vaish (reich) 9.02
15 punjabi-jatt-sikh (harappa) 9.21
16 kashmiri (harappa) 9.44
17 gujarati-muslim (harappa) 9.79
18 up-kshatriya (metspalu) 10.04
19 gujarati-b (hapmap) 10.07
20 punjabi-khatri (harappa) 10.38
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 90.6% up-brahmin (harappa) + 9.4% uzbek (behar) @ 2.27
2 91.3% up-brahmin (harappa) + 8.7% uyghur (hgdp) @ 2.3
3 91.1% up-brahmin (harappa) + 8.9% hazara (hgdp) @ 2.44
4 57.2% haryana-jatt (harappa) + 42.8% up (harappa) @ 2.45
5 93% up-brahmin (harappa) + 7% kazakh (harappa) @ 2.66
6 88.5% up-brahmin (harappa) + 11.5% tajik (yunusbayev) @ 2.69
7 55.8% haryana-jatt (harappa) + 44.2% rajasthani (harappa) @ 2.7
8 55.7% bihari-muslim (harappa) + 44.3% haryana-jatt (harappa) @ 2.71
9 93.5% up-brahmin (harappa) + 6.5% kyrgyz (hodoglugil) @ 2.72
10 63.2% haryana-jatt (harappa) + 36.8% kerala-muslim (harappa) @ 2.73
11 51% haryana-jatt (harappa) + 49% maharashtrian (harappa) @ 2.81
12 57.5% bengali-brahmin (harappa) + 42.5% punjabi-jatt-sikh (harappa) @ 2.81
13 90.5% up-brahmin (harappa) + 9.5% turkmen (yunusbayev) @ 2.82
14 65.1% haryana-jatt (harappa) + 34.9% andhra-pradesh (harappa) @ 2.83
15 70.1% haryana-jatt (harappa) + 29.9% tamil-nadar (harappa) @ 2.84
16 92.6% up-brahmin (harappa) + 7.4% nogai (yunusbayev) @ 2.86
17 68.2% haryana-jatt (harappa) + 31.8% sinhalese (harappa) @ 2.87
18 61.7% bengali-brahmin (harappa) + 38.3% haryana-jatt (harappa) @ 2.92
19 64.3% haryana-jatt (harappa) + 35.7% tamil (harappa) @ 2.93
20 69.7% haryana-jatt (harappa) + 30.3% tamil-vellalar (harappa) @ 2.94
Gautam#4 YDNA: R-Y7; mtDNA: N1a1b
Admix Results (sorted):
# Population Percent
1 S-Indian 34.9
2 Baloch 34.35
3 NE-Euro 13.2
4 Caucasian 8.95
5 NE-Asian 2.96
6 Siberian 2.19
7 Beringian 1.12
8 American 0.83
9 Papuan 0.79
10 Mediterranean 0.29
11 SE-Asian 0.29
12 San 0.12
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 4.6
2 up-muslim (harappa) 5.98
3 up-brahmin (harappa) 6.59
4 punjabi-brahmin (harappa) 6.81
5 punjabi (harappa) 7.13
6 singapore-indian-c (sgvp) 7.21
7 kashmiri-pandit (reich) 7.27
8 punjabi-ramgarhia (harappa) 8.24
9 kashmiri (harappa) 8.36
10 punjabi-jatt-muslim (harappa) 8.44
11 brahmin-uttar-pradesh (metspalu) 8.49
12 kashmiri-pahari (harappa) 8.51
13 bengali-brahmin (harappa) 8.57
14 punjabi-jatt-sikh (harappa) 8.99
15 punjabi-khatri (harappa) 9.41
16 haryana-jatt (harappa) 9.88
17 bihari-muslim (harappa) 9.94
18 gujarati-muslim (harappa) 10.09
19 vaish (reich) 10.73
20 sindhi (harappa) 11.71
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 88% up-brahmin (harappa) + 12% nogai (yunusbayev) @ 2.33
2 77.9% brahmin-uttar-pradesh (metspalu) + 22.1% tajik (yunusbayev) @ 2.52
3 86.4% up-brahmin (harappa) + 13.6% uzbek (behar) @ 2.53
4 87.7% up-brahmin (harappa) + 12.3% uyghur (hgdp) @ 2.87
5 85% brahmin-uttar-pradesh (metspalu) + 15% nogai (yunusbayev) @ 2.9
6 73.5% vaish (reich) + 26.5% tajik (yunusbayev) @ 2.97
7 83% up-brahmin (harappa) + 17% tajik (yunusbayev) @ 3.09
8 81.5% brahmin-uttar-pradesh (metspalu) + 18.5% turkmen (yunusbayev) @ 3.13
9 87.5% up-brahmin (harappa) + 12.5% hazara (hgdp) @ 3.15
10 85.8% up-brahmin (harappa) + 14.2% turkmen (yunusbayev) @ 3.19
11 50.2% haryana-jatt (harappa) + 49.8% bihari-muslim (harappa) @ 3.24
12 85.7% nepalese-a (xing) + 14.3% bene-israel-jew (behar) @ 3.31
13 90.8% nepalese-a (xing) + 9.2% romanian-b (behar) @ 3.37
14 95.6% nepalese-a (xing) + 4.4% georgian (behar) @ 3.43
15 78.4% bengali-brahmin (harappa) + 21.6% tajik (yunusbayev) @ 3.43
16 95.5% nepalese-a (xing) + 4.5% abhkasian (yunusbayev) @ 3.45
17 69.5% brahmin-uttar-pradesh (metspalu) + 30.5% pashtun (harappa) @ 3.46
18 61.8% nepalese-a (xing) + 38.2% up-muslim (harappa) @ 3.48
19 76.4% haryana-jatt (harappa) + 23.6% chenchu (metspalu) @ 3.49
20 95.5% nepalese-a (xing) + 4.5% druze (hgdp) @ 3.5
Thambi
10-11-2020, 01:18 AM
This looks like the highest NE-Asian score from Nepal.
Kit JH7355083 Sherpa
Admix Results (sorted):
# Population Percent
1 NE-Asian 74.55
2 Siberian 11.44
3 S-Indian 7.7
4 Papuan 1.99
5 Beringian 1.45
6 Baloch 0.9
7 Caucasian 0.73
8 SE-Asian 0.69
9 American 0.29
10 E-African 0.26
Single Population Sharing:
# Population (source) Distance
1 tibet (simonson) 4.04
2 nysha (reich) 7.85
3 tu (hgdp) 8.58
4 naga (metspalu) 9.17
5 aonaga (reich) 10.24
6 japanese (hgdp) 11.85
7 han-nchina (hgdp) 14.48
8 naxi (hgdp) 14.71
9 xibo (hgdp) 14.94
10 yi (hgdp) 16.33
11 mongola (hgdp) 18.73
12 chinese-beijing (1000genomes) 20.17
13 chinese-beijing (hapmap) 20.36
14 japanese (xing) 22.41
15 hezhen (hgdp) 24.71
16 daur (hgdp) 25.77
17 japanese (1000genomes) 26.2
18 japanese (hapmap) 26.36
19 nepalese-b (xing) 29.34
20 tujia (hgdp) 30.74
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 95.1% tibet (simonson) + 4.9% great-andamanese (reich) @ 1.49
2 95.3% tibet (simonson) + 4.7% onge (reich) @ 1.6
3 95.5% tibet (simonson) + 4.5% bengali (harappa) @ 1.66
4 95.9% tibet (simonson) + 4.1% tharu (reich) @ 1.66
5 96.1% tibet (simonson) + 3.9% gond (metspalu) @ 1.67
6 96% tibet (simonson) + 4% sahariya (reich) @ 1.68
7 96% tibet (simonson) + 4% satnami (reich) @ 1.69
8 96% tibet (simonson) + 4% tamil-nadar (harappa) @ 1.7
9 95.8% tibet (simonson) + 4.2% kerala-muslim (harappa) @ 1.7
10 96% tibet (simonson) + 4% sinhalese (harappa) @ 1.71
11 95.9% tibet (simonson) + 4.1% tamil (harappa) @ 1.71
12 96% tibet (simonson) + 4% andhra-pradesh (harappa) @ 1.72
13 96.1% tibet (simonson) + 3.9% tamil-nadu-scheduled-caste (metspalu) @ 1.73
14 95.9% tibet (simonson) + 4.1% kerala-christian (harappa) @ 1.73
15 96% tibet (simonson) + 4% karnataka (harappa) @ 1.74
16 96.1% tibet (simonson) + 3.9% kurumba (metspalu) @ 1.74
17 96.1% tibet (simonson) + 3.9% singapore-indian-a (sgvp) @ 1.74
18 96.1% tibet (simonson) + 3.9% piramalai-kallar (metspalu) @ 1.74
19 95.9% tibet (simonson) + 4.1% up (harappa) @ 1.75
20 96.2% tibet (simonson) + 3.8% nihali (metspalu) @ 1.75
bro are there any groups by the last name "singhe" in nepal? This person gets 77% NE asian. singhe is a last name found in sikkim based on some facebook profiles i've seen, but im not sure if there are kirants that have that surname. could be a tibetan living in india like around dharamsala and such. Honestly this person gets higher NE asian than majority of even northern chinese and japanese. there are some koreans and one ne chinese from liaoning that have higher NE asian though. highest NE asian i've seen is 79% from a northeast chinese dude. this sikkimese person is only 2% away.
Kit WP6595984
Admix Results (sorted):
# Population Percent
1 NE-Asian 76.99
2 Siberian 13.53
3 S-Indian 5.29
4 SE-Asian 1.63
5 Papuan 1.03
6 American 0.9
7 Beringian 0.35
8 Mediterranean 0.28
Single Population Sharing:
# Population (source) Distance
1 tibet (simonson) 2.78
2 nysha (reich) 6.98
3 naga (metspalu) 7.87
4 tu (hgdp) 8.77
5 aonaga (reich) 9
6 japanese (hgdp) 10.47
7 han-nchina (hgdp) 13.41
8 xibo (hgdp) 14.23
9 naxi (hgdp) 14.65
10 yi (hgdp) 16.26
11 mongola (hgdp) 18.25
12 chinese-beijing (1000genomes) 19.48
13 chinese-beijing (hapmap) 19.67
14 japanese (xing) 20.99
15 hezhen (hgdp) 24.02
16 japanese (1000genomes) 24.58
17 japanese (hapmap) 24.76
18 daur (hgdp) 25.06
19 tujia (hgdp) 30.64
20 chinese-american (hapmap) 31.18
Thambi
10-11-2020, 01:45 AM
Bro, can you do a thread about Bengalis or Malyalis and their closest genetic cousins, please? I'm very interested in the genetics of South Asians as a whole, rofl.
bro sorry for the late reply. i made a bengali gedmatch thread a while back. you can take a look here
https://www.theapricity.com/forum/showthread.php?297914-Bengali-Gedmatch-Results-and-Kits
and malayalis ill make one soon. they do have interesting mix among them compared to other south indians.
Kaazi
10-11-2020, 03:01 PM
bro are there any groups by the last name "singhe" in nepal? This person gets 77% NE asian. singhe is a last name found in sikkim based on some facebook profiles i've seen, but im not sure if there are kirants that have that surname. could be a tibetan living in india like around dharamsala and such. Honestly this person gets higher NE asian than majority of even northern chinese and japanese. there are some koreans and one ne chinese from liaoning that have higher NE asian though. highest NE asian i've seen is 79% from a northeast chinese dude. this sikkimese person is only 2% away.
Kit WP6595984
Admix Results (sorted):
# Population Percent
1 NE-Asian 76.99
2 Siberian 13.53
3 S-Indian 5.29
4 SE-Asian 1.63
5 Papuan 1.03
6 American 0.9
7 Beringian 0.35
8 Mediterranean 0.28
Single Population Sharing:
# Population (source) Distance
1 tibet (simonson) 2.78
Singhe's not found in Nepalese Tibeto-Burmese groups afaik.
Wow. That guy's way more NE-Asian shifted than even the Sherpas who descended from Tibet as recent as 200 years ago. That looks likely a very isolated tribe. I mean that's the lowest "S-Indian" score in the mainstream South Asia. This sample's likely from East Indian/Bhutan regions bordering Eastern Nepal looking at the pattern of the score. That's the place where "NE-Asian" component peaks in South Asia imo.
Kamal900
10-12-2020, 09:14 AM
bro sorry for the late reply. i made a bengali gedmatch thread a while back. you can take a look here
https://www.theapricity.com/forum/showthread.php?297914-Bengali-Gedmatch-Results-and-Kits
and malayalis ill make one soon. they do have interesting mix among them compared to other south indians.
Better late than never, rofl. Thanks bro :)
Kaazi
10-12-2020, 05:24 PM
Gautam #1 YDNA: R-M417; mtDNA: R6
Admix Results (sorted):
# Population Percent
1 S-Indian 35.26
2 Baloch 33.54
3 Caucasian 10.7
4 NE-Euro 10.6
5 NE-Asian 4.71
6 American 2.27
7 Siberian 2.05
8 San 0.58
9 Papuan 0.24
10 Mediterranean 0.04
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 5.43
2 nepalese-a (xing) 6.74
3 kashmiri-pandit (reich) 7.37
4 punjabi (harappa) 7.38
5 kashmiri (harappa) 7.42
6 punjabi-brahmin (harappa) 7.77
7 singapore-indian-c (sgvp) 8.16
8 up-brahmin (harappa) 8.54
9 kashmiri-pahari (harappa) 8.74
10 punjabi-jatt-muslim (harappa) 8.81
11 gujarati-muslim (harappa) 8.87
12 punjabi-ramgarhia (harappa) 9.12
13 bengali-brahmin (harappa) 9.25
14 punjabi-khatri (harappa) 9.73
15 bihari-muslim (harappa) 9.77
16 brahmin-uttar-pradesh (metspalu) 9.89
17 punjabi-jatt-sikh (harappa) 10.49
18 vaish (reich) 11.57
19 sindhi (harappa) 11.85
20 punjabi-arain (xing) 12.12
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 80.7% burusho (hgdp) + 19.3% irula (xing) @ 3.36
2 73.7% burusho (hgdp) + 26.3% chenchu (reich) @ 3.45
3 77.5% gujarati (harappa) + 22.5% nogai (yunusbayev) @ 3.46
4 80.8% burusho (hgdp) + 19.2% pulliyar (metspalu) @ 3.49
5 60.4% up-muslim (metspalu) + 39.6% tajik (yunusbayev) @ 3.54
6 63.4% srivastava (reich) + 36.6% tajik (yunusbayev) @ 3.57
7 59.5% tharu (metspalu) + 40.5% tajik (yunusbayev) @ 3.67
8 58.5% kanjar (metspalu) + 41.5% tajik (yunusbayev) @ 3.7
9 64.5% bihari (harappa) + 35.5% tajik (yunusbayev) @ 3.72
10 79% gujarati-b (hapmap) + 21% nogai (yunusbayev) @ 3.75
11 81.3% burusho (hgdp) + 18.7% paniya (chaubey) @ 3.78
12 76% bihari-muslim (harappa) + 24% tajik (yunusbayev) @ 3.88
13 53.8% lodi (reich) + 46.2% tajik (yunusbayev) @ 3.99
14 65.8% ap-brahmin (xing) + 34.2% tajik (yunusbayev) @ 4.02
15 57.2% kashmiri (harappa) + 42.8% bengali-brahmin (harappa) @ 4.04
16 67% rajasthani (harappa) + 33% tajik (yunusbayev) @ 4.04
17 70.1% maharashtrian (harappa) + 29.9% tajik (yunusbayev) @ 4.08
18 70.3% karnataka-brahmin (harappa) + 29.7% tajik (yunusbayev) @ 4.08
19 63.3% singapore-indian-b (sgvp) + 36.7% tajik (yunusbayev) @ 4.1
20 50.8% tajik (yunusbayev) + 49.2% vysya (reich) @ 4.13
My mistake, it came in the Nepalese gedmatch searchlist. As per AG User MonkeyDLuffy, this result's Himachal Brahmin. https://anthrogenica.com/showthread.php?21544-Has-anybody-got-any-data-on-haplogroups-and-autosomal-admixture-for-the-Jammu-Dogras&p=696744&viewfull=1#post696744 The sample is also at the lowest end of NE-Euro+Med for Nepalese Brahmins/ Bahuns and has slight higher Caucasian than them.
Kaazi
10-13-2020, 03:13 AM
The only Thakali kit so far. They live in Mustang mostly around Thak Khola (river) except those leading urban life. It's surprising that such high South Asian admix entered Mustang which borders Tibet. The Iran Neolithic component (6% Baloch and 3% Caucasian) is legit in this sample and more than even Gurungs who live more in the central hills.
Bhattachan (Thakali) Kit: M624573
Admix Results (sorted):
# Population Percent
1 NE-Asian 61.7
2 S-Indian 13.06
3 Siberian 10.49
4 Baloch 5.85
5 SE-Asian 3.88
6 Caucasian 2.8
7 Papuan 0.72
8 Beringian 0.72
9 E-African 0.65
10 San 0.14
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 14.43
2 xibo (hgdp) 16.29
3 nepalese-b (xing) 16.85
4 mongola (hgdp) 17.57
5 naxi (hgdp) 17.98
6 tibet (simonson) 18
7 japanese (hgdp) 18.6
8 yi (hgdp) 19.21
9 nysha (reich) 21.19
10 han-nchina (hgdp) 21.68
11 naga (metspalu) 21.96
12 aonaga (reich) 23.22
13 hezhen (hgdp) 23.94
14 chinese-beijing (1000genomes) 24.48
15 chinese-beijing (hapmap) 24.61
16 daur (hgdp) 24.79
17 garo (chaubey) 28.33
18 tujia (hgdp) 29.89
19 burmanese (chaubey) 29.97
20 chinese-american (hapmap) 30.38
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 84.7% tu (hgdp) + 15.3% tamil-vishwakarma (harappa) @ 3.81
2 84.8% tu (hgdp) + 15.2% vysya (reich) @ 3.82
3 84.5% tu (hgdp) + 15.5% kurumba (metspalu) @ 3.84
4 84.6% tu (hgdp) + 15.4% kamsali (reich) @ 3.85
5 84.1% tu (hgdp) + 15.9% chenchu (metspalu) @ 3.86
6 84.6% tu (hgdp) + 15.4% piramalai-kallar (metspalu) @ 3.86
7 84.6% tu (hgdp) + 15.4% singapore-indian-a (sgvp) @ 3.91
8 84.9% tu (hgdp) + 15.1% sakilli (chaubey) @ 3.91
9 54.1% tu (hgdp) + 45.9% nepalese-b (xing) @ 3.93
10 78.7% tibet (simonson) + 21.3% bengali (harappa) @ 3.93
11 84.5% tu (hgdp) + 15.5% naidu (reich) @ 3.94
12 84.5% tu (hgdp) + 15.5% hallaki (reich) @ 3.96
13 84.9% tu (hgdp) + 15.1% ap-madiga (xing) @ 3.96
14 84.8% tu (hgdp) + 15.2% chamar (metspalu) @ 3.97
15 85.3% tu (hgdp) + 14.7% tn-dalit (xing) @ 3.98
16 84.4% tu (hgdp) + 15.6% tamil-vellalar (harappa) @ 3.98
17 84.3% tu (hgdp) + 15.7% tamil-nadar (harappa) @ 3.99
18 85.1% tu (hgdp) + 14.9% madiga (reich) @ 3.99
19 84.5% tu (hgdp) + 15.5% velama (reich) @ 4.03
20 85% tu (hgdp) + 15% hakkipikki (metspalu) @ 4.04
Kaazi
10-13-2020, 03:46 AM
These two Chhetri harappaworld scores were brought up by user NPKTO and they're legit Chhetri names. "Basnyat" spelling is mostly taken by old aristocrat Chhetris (Kaaji families), isn't it @Godardt? https://en.wikipedia.org/wiki/Basnyat_family lol it sounds very archaic to me. Basnyat scores NE-Euro+Med like lower end Bahuns. Karki is a very common Chhetri name as well.
Basnyat
# Population Percent
1 S-Indian 30.19
2 Baloch 25.41
3 NE-Asian 20.56
4 NE-Euro 10.52
5 Caucasian 5
6 Siberian 4.44
7 Mediterranean 1.35
8 Papuan 0.9
9 American 0.75
10 SE-Asian 0.56
11 Beringian 0.31
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 6.16
2 nepalese-a (xing) 19.66
3 burusho (hgdp) 20.69
4 up-muslim (harappa) 20.98
5 kashmiri (harappa) 21.83
6 bengali-brahmin (harappa) 22.09
7 bihari-muslim (harappa) 22.78
8 bengali (harappa) 22.82
9 punjabi (harappa) 23.11
10 gujarati-muslim (harappa) 23.18
11 kashmiri-pandit (reich) 23.53
12 punjabi-jatt-muslim (harappa) 23.7
13 singapore-indian-c (sgvp) 23.78
14 haryana-jatt (harappa) 23.78
15 up-brahmin (harappa) 23.82
16 kashmiri-pahari (harappa) 23.88
17 punjabi-brahmin (harappa) 24.15
18 punjabi-jatt-sikh (harappa) 24.16
19 brahmin-uttar-pradesh (metspalu) 24.24
20 punjabi-ramgarhia (harappa) 24.44
Karki
# Population Percent
1 S-Indian 35.37
2 Baloch 27.56
3 NE-Asian 18.51
4 NE-Euro 7.3
5 Caucasian 5.29
6 Siberian 3.08
7 American 1.53
8 SE-Asian 0.88
9 Beringian 0.24
10 San 0.23
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 6.62
2 nepalese-a (xing) 17.29
3 bengali (harappa) 17.86
4 up-muslim (harappa) 18.01
5 bengali-brahmin (harappa) 18.02
6 bihari-muslim (harappa) 18.2
7 kashmiri (harappa) 19.79
8 gujarati-muslim (harappa) 20.21
9 up-brahmin (harappa) 20.32
10 punjabi (harappa) 20.32
11 burusho (hgdp) 20.35
12 brahmin-uttar-pradesh (metspalu) 20.37
13 vaish (reich) 20.5
14 karnataka-brahmin (harappa) 20.61
15 maharashtrian (harappa) 20.76
16 kashmiri-pahari (harappa) 20.77
17 kashmiri-pandit (reich) 20.89
18 singapore-indian-c (sgvp) 20.92
19 cochin-jew (behar) 21.1
20 up-kshatriya (metspalu) 21.15
Godardt
10-13-2020, 04:33 AM
Yes, Basnet is the modern variance of Basnyat. Old Basnyat families stick to Basnyat. Similarly, variants of Singh are Singha, as written by most Bajhangis today and also Simha, I'm unsure as to Singhs from which clan have adopted the latter as their Surname.
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Kaazi
10-14-2020, 03:32 AM
Higher East Asian/Siberian (52%) for a Shrestha Newar. Almost 55% Naga in oracles.
Shrestha - Newar 171507 SNPs used in this evaluation
Admix Results (sorted):
# Population Percent
1 NE-Asian 45.49
2 S-Indian 24.35
3 Baloch 13.84
4 Siberian 4.89
5 Caucasian 3.54
6 SE-Asian 2.37
7 Papuan 1.75
8 American 1.09
9 NE-Euro 0.88
10 SW-Asian 0.84
11 Beringian 0.38
12 E-African 0.35
13 W-African 0.23
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 7.69
2 nepalese-c (xing) 24.43
3 garo (chaubey) 26.67
4 burmanese (chaubey) 27.39
5 uyghur (hgdp) 28.19
6 hazara (hgdp) 29.46
7 tu (hgdp) 34.16
8 mongola (hgdp) 34.29
9 khasi (chaubey) 34.43
10 xibo (hgdp) 34.82
11 kyrgyz (hodoglugil) 35.28
12 kyrgyz (xing) 35.68
13 naxi (hgdp) 36.02
14 uzbek (behar) 36.29
15 yi (hgdp) 36.68
16 kazakh (harappa) 36.73
17 tibet (simonson) 37.7
18 japanese (hgdp) 38.28
19 hezhen (hgdp) 38.51
20 daur (hgdp) 38.91
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 55.3% naga (metspalu) + 44.7% kerala-christian (harappa) @ 1.96
2 55.6% naga (metspalu) + 44.4% ap-hyderabad (harappa) @ 2.21
3 54.8% aonaga (reich) + 45.2% kerala-christian (harappa) @ 2.43
4 55.9% naga (metspalu) + 44.1% tamil (harappa) @ 2.53
5 55.2% naga (metspalu) + 44.8% up (harappa) @ 2.72
6 55.3% naga (metspalu) + 44.7% rajasthani (harappa) @ 2.74
7 55.9% nysha (reich) + 44.1% kerala-christian (harappa) @ 2.81
8 55% naga (metspalu) + 45% kerala-muslim (harappa) @ 2.82
9 55% aonaga (reich) + 45% ap-hyderabad (harappa) @ 2.83
10 53.9% aonaga (reich) + 46.1% cochin-jew (behar) @ 3
11 54.7% aonaga (reich) + 45.3% up (harappa) @ 3
12 55% nysha (reich) + 45% cochin-jew (behar) @ 3.01
13 55.1% naga (metspalu) + 44.9% bihari (harappa) @ 3.03
14 54.4% naga (metspalu) + 45.6% cochin-jew (behar) @ 3.03
15 55.3% aonaga (reich) + 44.7% tamil (harappa) @ 3.04
16 55.1% naga (metspalu) + 44.9% caribbean-indian (harappa) @ 3.08
17 89.6% nepalese-b (xing) + 10.4% brahui (hgdp) @ 3.13
18 89.4% nepalese-b (xing) + 10.6% makrani (hgdp) @ 3.13
19 56.2% naga (metspalu) + 43.8% andhra-pradesh (harappa) @ 3.14
20 56% naga (metspalu) + 44% singapore-indian-b (sgvp) @ 3.14
Godardt
10-14-2020, 04:28 AM
Wow.
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Kaazi
10-24-2020, 03:15 AM
This result is quite distant from the Mulepati and other Shrestha Newars. Also, this result appears closer to the "Nepalese-C" average which is kinda Tibetid shifted from Chhetri averages. It's also 5% less East Asian/Siberian than the previous Thakuri result. So, I think this isn't the Newar Malla; hence the 2nd Thakuri result so far.
This result got elevated Caucasian for such high East Asian/Siberian shift. 'Caucasian' component when compared to Baloch and NE-Euro is high for Nepalis which could indicate it may had some high Caucasian/BMAC base (?) before intermixing or intermixed with NW Rajputs since it's a Thakuri. If it's from the western Nepal, then only it's the patrilineal heir of the Khasa emperors. Unfortunately, the Y-DNA isn't detected yet.
Malla (Thakuri)- 171494 SNPs used in this evaluation
Admix Results (sorted):
# Population Percent
1 S-Indian 31.41
2 NE-Asian 26.29
3 Baloch 23.84
4 Caucasian 7.43
5 NE-Euro 3.56
6 Siberian 3.55
7 Beringian 1.2
8 American 1.05
9 Mediterranean 0.68
10 Papuan 0.6
11 SW-Asian 0.36
12 SE-Asian 0.03
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 3.95
2 burusho (hgdp) 25.62
3 bengali (harappa) 25.85
4 up-muslim (harappa) 25.87
5 nepalese-a (xing) 26.04
6 kashmiri (harappa) 26.48
7 gujarati-muslim (harappa) 26.95
8 bihari-muslim (harappa) 27.16
9 bengali-brahmin (harappa) 27.25
10 nepalese-b (xing) 27.77
11 hazara (hgdp) 27.94
12 punjabi (harappa) 27.98
13 cochin-jew (behar) 28.38
14 kashmiri-pandit (reich) 28.44
15 punjabi-jatt-muslim (harappa) 28.51
16 kashmiri-pahari (harappa) 28.56
17 uyghur (hgdp) 28.67
18 singapore-indian-c (sgvp) 28.98
19 bene-israel-jew (behar) 29
20 punjabi-brahmin (harappa) 29.39
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 95.6% nepalese-c (xing) + 4.4% tibet (simonson) @ 2.87
2 95.2% nepalese-c (xing) + 4.8% xibo (hgdp) @ 2.89
3 95.8% nepalese-c (xing) + 4.2% nysha (reich) @ 2.92
4 95.4% nepalese-c (xing) + 4.6% daur (hgdp) @ 2.93
5 96% nepalese-c (xing) + 4% aonaga (reich) @ 2.93
6 95.9% nepalese-c (xing) + 4.1% naga (metspalu) @ 2.94
7 95.2% nepalese-c (xing) + 4.8% mongola (hgdp) @ 2.94
8 95.4% nepalese-c (xing) + 4.6% hezhen (hgdp) @ 2.95
9 95.4% nepalese-c (xing) + 4.6% tu (hgdp) @ 2.95
10 91.4% nepalese-c (xing) + 8.6% nepalese-b (xing) @ 2.99
11 96.8% nepalese-c (xing) + 3.2% japanese (1000genomes) @ 3.01
12 96% nepalese-c (xing) + 4% han-nchina (hgdp) @ 3.05
13 95.8% nepalese-c (xing) + 4.2% naxi (hgdp) @ 3.08
14 95.9% nepalese-c (xing) + 4.1% yi (hgdp) @ 3.11
15 50.7% nepalese-b (xing) + 49.3% kashmiri-pahari (harappa) @ 3.13
16 96.3% nepalese-c (xing) + 3.7% chinese-beijing (1000genomes) @ 3.16
17 96.1% nepalese-c (xing) + 3.9% oroqen (hgdp) @ 3.2
18 50.6% nepalese-b (xing) + 49.4% kashmiri-pandit (reich) @ 3.29
19 95.6% nepalese-c (xing) + 4.4% mongolian (rasmussen) @ 3.3
20 50.2% nepalese-b (xing) + 49.8% punjabi (harappa) @ 3.31
One of it's 4 way ancestor is Kalash which could point out it got some quarter of high BMAC admix/ancestry.
4-Oracle
Admix Results (sorted):
# Population Percent
1 S-Indian 31.41
2 NE-Asian 26.29
3 Baloch 23.84
4 Caucasian 7.43
5 NE-Euro 3.56
6 Siberian 3.55
7 Beringian 1.20
8 American 1.05
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-c_xing @ 4.288223
2 brahmin-uttaranchal_metspalu @ 4.792083
3 nepali_harappa @ 25.926044
4 up-muslim_harappa @ 27.731215
5 burusho_hgdp @ 27.809584
6 bengali_harappa @ 27.884026
7 nepalese-a_xing @ 28.072126
8 kashmiri_harappa @ 28.526615
9 gujarati-muslim_harappa @ 28.940825
10 bihari-muslim_harappa @ 29.215918
11 bengali-brahmin_harappa @ 29.311279
12 nepalese-b_xing @ 29.952900
13 bihari-brahmin_harappa @ 30.094654
14 punjabi_harappa @ 30.105976
15 pushtikar-brahmin_harappa @ 30.145773
16 hazara_hgdp @ 30.406698
17 rajasthani-brahmin_harappa @ 30.441364
18 cochin-jew_behar @ 30.493649
19 kashmiri-pandit_reich @ 30.625147
20 kerala_harappa @ 30.625486
Using 2 populations approximation:
1 50% kashmiri-pahari_harappa +50% nepalese-b_xing @ 3.450123
Using 3 populations approximation:
1 50% brahmin-uttaranchal_metspalu +25% gujarati-muslim_harappa +25% nepalese-b_xing @ 2.329630
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++
1 kalash_hgdp + kamsali_reich + nepalese-c_xing + tibet_simonson @ 1.646773
2 chenchu_metspalu + kalash_hgdp + nepalese-c_xing + tibet_simonson @ 1.656872
3 hallaki_reich + kalash_hgdp + nepalese-c_xing + nysha_reich @ 1.687388
4 hallaki_reich + kalash_hgdp + nepalese-c_xing + tibet_simonson @ 1.776830
5 kalash_hgdp + kamsali_reich + nepalese-c_xing + nysha_reich @ 1.778417
6 brahmin-uttaranchal_metspalu + hallaki_reich + kalash_hgdp + nysha_reich @ 1.780970
7 ap-reddy_harappa + kalash_hgdp + nepalese-b_xing + nepalese-b_xing @ 1.784414
8 kalash_hgdp + nepalese-c_xing + sakilli_chaubey + tibet_simonson @ 1.787008
9 kashmiri_harappa + nepalese-c_xing + tibet_simonson + velama_reich @ 1.796821
10 kalash_hgdp + nepalese-c_xing + nysha_reich + piramalai-kallar_metspalu @ 1.835132
11 kalash_hgdp + nepalese-c_xing + tamil-vishwakarma_harappa + tibet_simonson @ 1.841472
12 brahmin-uttaranchal_metspalu + chenchu_metspalu + kalash_hgdp + tibet_simonson @ 1.875828
13 ap-hyderabad_harappa + kalash_hgdp + nepalese-b_xing + nepalese-b_xing @ 1.877515
14 kalash_hgdp + nepalese-c_xing + piramalai-kallar_metspalu + tibet_simonson @ 1.898029
15 kalash_hgdp + nepalese-c_xing + nysha_reich + sakilli_chaubey @ 1.911796
16 kalash_hgdp + nepalese-b_xing + nepalese-b_xing + velama_reich @ 1.921696
17 brahmin-uttaranchal_metspalu + kalash_hgdp + kamsali_reich + nysha_reich @ 1.927252
18 brahmin-uttaranchal_metspalu + kalash_hgdp + kamsali_reich + tibet_simonson @ 1.946625
19 chenchu_metspalu + kalash_hgdp + nepalese-c_xing + nysha_reich @ 1.946678
20 chamar_metspalu + kalash_hgdp + nepalese-c_xing + tibet_simonson @ 1.948636
Kaazi
10-26-2020, 01:46 AM
Adhikari (4/4 Bahun from Easternmost Nepal) YDNA: R-L657 and mtDNA: M36d
This guy has an interesting result. The "Caucasian" is the highest among Nepalis so far and the "S-Indian" and "NE-Euro" is among lowest for Nepalese Bahuns. The "Baloch" to "S-Indian" ratio and "Caucasian to NE-Euro" ratio is very high. So, this result looks like Kashmiri Pandit with lil East Asian rather than a Bahun as you can see the "Nepalese-A" average is at the 12th position in terms of closeness.
Admix Results (sorted):
# Population Percent
1 Baloch 34.25
2 S-Indian 30.37
3 Caucasian 13.19
4 NE-Euro 9.36
5 NE-Asian 5.71
6 American 2.45
7 Siberian 2.15
8 Mediterranean 1.36
9 Beringian 0.59
10 W-African 0.42
11 San 0.14
Single Population Sharing:
# Population (source) Distance
1 kashmiri (harappa) 4.47
2 kashmiri-pandit (reich) 6.96
3 up-muslim (harappa) 6.97
4 punjabi (harappa) 7.56
5 punjabi-khatri (harappa) 7.63
6 punjabi-jatt-muslim (harappa) 7.67
7 gujarati-muslim (harappa) 7.96
8 punjabi-brahmin (harappa) 8.63
9 singapore-indian-c (sgvp) 9.03
10 punjabi-jatt-sikh (harappa) 9.05
11 sindhi (harappa) 9.1
12 nepalese-a (xing) 9.16
13 kashmiri-pahari (harappa) 9.25
14 burusho (hgdp) 9.43
15 punjabi-ramgarhia (harappa) 10.16
16 haryana-jatt (harappa) 11.03
17 pathan (hgdp) 11.1
18 punjabi-arain (xing) 11.27
19 up-brahmin (harappa) 12.53
20 bhatia (harappa) 12.68
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 84.5% kashmiri (harappa) + 15.5% nepalese-c (xing) @ 2.37
2 92.9% kashmiri (harappa) + 7.1% nepalese-b (xing) @ 2.37
3 95.8% kashmiri (harappa) + 4.2% tibet (simonson) @ 2.76
4 95.9% kashmiri (harappa) + 4.1% nysha (reich) @ 2.78
5 96.1% kashmiri (harappa) + 3.9% aonaga (reich) @ 2.82
6 96% kashmiri (harappa) + 4% naga (metspalu) @ 2.83
7 95.6% kashmiri (harappa) + 4.4% tu (hgdp) @ 2.86
8 95.5% kashmiri (harappa) + 4.5% xibo (hgdp) @ 2.86
9 95.4% kashmiri (harappa) + 4.6% mongola (hgdp) @ 2.89
10 95.9% kashmiri (harappa) + 4.1% japanese (hgdp) @ 2.91
11 95.6% kashmiri (harappa) + 4.4% hezhen (hgdp) @ 2.91
12 95.8% kashmiri (harappa) + 4.2% naxi (hgdp) @ 2.92
13 95.6% kashmiri (harappa) + 4.4% daur (hgdp) @ 2.93
14 74.5% punjabi-khatri (harappa) + 25.5% nepalese-c (xing) @ 2.94
15 95.8% kashmiri (harappa) + 4.2% yi (hgdp) @ 2.95
16 96.1% kashmiri (harappa) + 3.9% han-nchina (hgdp) @ 2.97
17 96.7% kashmiri (harappa) + 3.3% japanese (1000genomes) @ 2.98
18 94.5% kashmiri (harappa) + 5.5% garo (chaubey) @ 3
19 96.1% kashmiri (harappa) + 3.9% chinese-beijing (1000genomes) @ 3.06
20 86.6% burusho (hgdp) + 13.4% irula (xing) @ 3.08
4-Oracles
Admix Results (sorted):
# Population Percent
1 Baloch 34.25
2 S-Indian 30.37
3 Caucasian 13.19
4 NE-Euro 9.36
5 NE-Asian 5.71
6 American 2.45
7 Siberian 2.15
8 Mediterranean 1.36
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 kashmiri_harappa @ 4.761230
2 pushtikar-brahmin_harappa @ 6.726303
3 nepali_harappa @ 6.749553
4 up-muslim_harappa @ 7.489850
5 kashmiri-pandit_reich @ 7.504802
6 punjabi-jatt-muslim_harappa @ 8.042215
7 punjabi_harappa @ 8.129971
8 punjabi-khatri_harappa @ 8.202334
9 gujarati-muslim_harappa @ 8.516630
10 rajasthani-brahmin_harappa @ 9.011643
11 punjabi-brahmin_harappa @ 9.363569
12 punjabi-jatt-sikh_harappa @ 9.810201
13 singapore-indian-c_sgvp @ 9.822309
14 sindhi_harappa @ 9.850100
15 kashmiri-pahari_harappa @ 10.067140
16 nepalese-a_xing @ 10.131322
17 burusho_hgdp @ 10.336571
18 punjabi-ramgarhia_harappa @ 11.082725
19 haryana-jatt_harappa @ 12.048965
20 pathan_hgdp @ 12.135706
Using 2 populations approximation:
1 50% kurmi_metspalu +50% tajik_yunusbayev @ 2.685712
Using 3 populations approximation:
1 50% kurmi_metspalu +25% tajik_yunusbayev +25% tajik_yunusbayev @ 2.685712
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++
1 brahmin-uttaranchal_metspalu + gujarati-patel_harappa + punjabi-ramgarhia_harappa + urkarah_xing @ 2.263854
2 brahmin-uttaranchal_metspalu + gujarati-a_hapmap + punjabi-ramgarhia_harappa + urkarah_xing @ 2.315436
3 burusho_hgdp + chenchu_metspalu + kashmiri_harappa + tajik_yunusbayev @ 2.345019
4 brahmin-uttaranchal_metspalu + gujarati-a_hapmap + punjabi-ramgarhia_harappa + stalskoe_xing @ 2.360736
5 brahmin-uttaranchal_metspalu + kerala-nair_harappa + meena_metspalu + urkarah_xing @ 2.386673
6 brahmin-uttaranchal_metspalu + gujarati-a_1000genomes + punjabi-ramgarhia_harappa + urkarah_xing @ 2.422177
7 brahmin-uttaranchal_metspalu + gujarati-a_hapmap + punjabi-brahmin_harappa + stalskoe_xing @ 2.444705
8 burusho_hgdp + hallaki_reich + kashmiri_harappa + tajik_yunusbayev @ 2.462705
9 burusho_hgdp + chenchu_metspalu + punjabi-khatri_harappa + tajik_yunusbayev @ 2.475655
10 brahmin-uttaranchal_metspalu + gujarati_harappa + meena_metspalu + urkarah_xing @ 2.493714
11 brahmin-uttaranchal_metspalu + gujarati-a_hapmap + singapore-indian-c_sgvp + stalskoe_xing @ 2.499682
12 gujarati-patel_harappa + nepalese-c_xing + punjabi-ramgarhia_harappa + urkarah_xing @ 2.516451
13 brahmin-uttaranchal_metspalu + gujarati-patel_harappa + singapore-indian-c_sgvp + urkarah_xing @ 2.520186
14 gujarati-a_hapmap + nepalese-c_xing + punjabi-ramgarhia_harappa + urkarah_xing @ 2.526675
15 brahmin-uttaranchal_metspalu + gujarati-a_hapmap + punjabi-arain_xing + stalskoe_xing @ 2.534140
16 brahmin-uttaranchal_metspalu + lezgin_behar + meena_metspalu + oriya_harappa @ 2.537210
17 brahmin-uttaranchal_metspalu + meena_metspalu + meena_metspalu + urkarah_xing @ 2.546293
18 brahmin-uttaranchal_metspalu + gujarati-patel_harappa + punjabi-brahmin_harappa + stalskoe_xing @ 2.562183
19 burusho_hgdp + kashmiri_harappa + kol_metspalu + tajik_yunusbayev @ 2.562632
20 brahmin-uttaranchal_metspalu + gujarati-a_1000genomes + punjabi-ramgarhia_harappa + stalskoe_xing @ 2.562764
Last name-Raya, could be a Shrestha Newar, Thakuri, mixed Chhetri or multiple mixes.
Admix Results (sorted):
# Population Percent
1 NE-Asian 42.52
2 S-Indian 19.78
3 Baloch 16.94
4 Siberian 7.39
5 Caucasian 3.71
6 SE-Asian 3.51
7 NE-Euro 3.39
8 Papuan 2.13
9 W-African 0.46
10 American 0.17
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 12.68
2 uyghur (hgdp) 22.64
3 nepalese-c (xing) 22.99
4 hazara (hgdp) 23.73
5 burmanese (chaubey) 26.83
6 garo (chaubey) 27.17
7 kyrgyz (hodoglugil) 30.65
8 kyrgyz (xing) 30.85
9 uzbek (behar) 31
10 kazakh (harappa) 31.72
11 mongola (hgdp) 33.14
12 khasi (chaubey) 33.82
13 xibo (hgdp) 34.24
14 tu (hgdp) 34.98
15 mongolian (rasmussen) 36
16 naxi (hgdp) 37.03
17 hezhen (hgdp) 37.08
18 daur (hgdp) 37.37
19 yi (hgdp) 37.66
20 japanese (hgdp) 38.93
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 59% tu (hgdp) + 41% meghawal (reich) @ 2.79
2 59.1% tu (hgdp) + 40.9% gujarati-b (hapmap) @ 2.98
3 63% nepalese-c (xing) + 37% japanese (hgdp) @ 3.04
4 59.3% tu (hgdp) + 40.7% tn-brahmin (xing) @ 3.08
5 58.8% tu (hgdp) + 41.2% gujarati (harappa) @ 3.09
6 58.6% tu (hgdp) + 41.4% maharashtrian (harappa) @ 3.11
7 58.9% tu (hgdp) + 41.1% brahmin-tamil-nadu (metspalu) @ 3.25
8 58.8% tu (hgdp) + 41.2% up-kshatriya (metspalu) @ 3.26
9 59.3% tu (hgdp) + 40.7% iyer-brahmin (harappa) @ 3.29
10 60.5% nepalese-c (xing) + 39.5% tu (hgdp) @ 3.33
11 59.3% tu (hgdp) + 40.7% iyengar-brahmin (harappa) @ 3.38
12 58.5% tu (hgdp) + 41.5% karnataka-brahmin (harappa) @ 3.39
13 59.4% tu (hgdp) + 40.6% kerala-nair (harappa) @ 3.43
14 57.3% tu (hgdp) + 42.7% bihari-muslim (harappa) @ 3.44
15 58.8% tu (hgdp) + 41.2% rajasthani (harappa) @ 3.48
16 58.5% tu (hgdp) + 41.5% vaish (reich) @ 3.57
17 59.3% tu (hgdp) + 40.7% ap-brahmin (xing) @ 3.72
18 51% naga (metspalu) + 49% up-muslim (harappa) @ 3.84
19 58.2% tu (hgdp) + 41.8% up-brahmin (harappa) @ 3.86
20 57.1% tu (hgdp) + 42.9% bengali-brahmin (harappa) @ 3.89
Well, this guy confirmed to be 1/2 Rayamajhi Chhetri (father) + 1/2 Sunuwar Kiranti (mother). I'm just speculating what his paternal Rayamajhi side could be; not to be taken too seriously. The low South Asian (9%) & high Mongoloid (88%) Kiranti (Rai Kit AF4263490) and another high South Asian (12%) & low Mongoloid (84%) Kiranti (Limbu Kit T029409) results are considered in the place of his Kiranti mother.
Father Rayamajhi Chhetri #1 Using low South Asian & high Mongoloid Kiranti (Rai) Kit AF4263490.
# Population Percent
1 Baloch 33.26
2 S-Indian 32.11
3 NE-Asian 11.97
4 Caucasian 6.89
5 NE-Euro 6.78
6 Siberian 4.71
7 SE-Asian 2.03
8 Papuan 1.76
9 W African 0.45
10 American 0.04
Father Rayamajhi Chhetri #2 Using high South Asian & low Mongoloid Kiranti (Limbu) Kit T029409.
# Population Percent
1 Baloch 33.14
2 S-Indian 28.15
3 NE-Asian 16.37
4 Caucasian 7.06
5 NE-Euro 6.78
6 Siberian 4.43
7 SE-Asian 1.69
8 Papuan 2.50
In both results, the father Rayamajhi appears to have "Baloch" component higher than "S-Indian" component which is atypical for Chhetris. The first result can be considered a Chhetri result albeit high Baloch. The second one has very low S-Indian. The result of this guy's father would be interesting if tested.
Kaazi
11-01-2020, 05:22 AM
Yeah i always wonder why bahuns and chhetris have pretty much the same ASI, even when the chhetri is like almost 35-40% East asian/siberian like that khadka sample i posted. Chhetris as a group formed after bahuns mixed with magar/mongoloid groups right? It should decrease all south indian and baloch proportionally but thats not the case. Even if we assume overtime they got more indic mix from mixing with bahuns, it doesnt explain why it only lowers baloch but not the S.indian
Thambi, I found that the Khadka guy A642452 to be 1/2 Chhetri (Birgunj) + 1/2 Newar (Kathmandu) with some Indian-Burmese mix. This theory of South Indian increasing with increasing East Asian is due to Newar-Indian-Burmese complex mixes in his case. Well, I've seen two Newars with high S-Indian; one with 41% S-Indian (Shrestha) and the other 36% S-Indian (Chitrakar).
His 4-oracles might point something about his Indo-Burmese ancestor. If we assume his paternal Chhetri side similar to Uttaranchal Brahmin, then his maternal side appears Gond+Japanese (Newar with Indian-Burmese mix) in 3 way oracles.
Using 2 populations approximation:
1 50% bengali_harappa +50% nepalese-b_xing @ 5.300565
Using 3 populations approximation:
1 50% brahmin-uttaranchal_metspalu +25% gond_metspalu +25% japanese_hgdp @ 2.039182
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +
1 goan_harappa + japanese_hgdp + nepalese-b_xing + tharu_reich @ 1.361531
2 asur_chaubey + gujarati-patel_harappa + hazara_hgdp + japanese_xing @ 1.449131
3 asur_chaubey + gujarati-a_hapmap + hazara_hgdp + japanese_1000genomes @ 1.463490
4 asur_chaubey + gujarati-a_hapmap + hazara_hgdp + japanese_xing @ 1.476151
5 asur_chaubey + gujarati-a_hapmap + hazara_hgdp + japanese_hapmap @ 1.488985
6 asur_chaubey + gujarati-patel_harappa + hazara_hgdp + japanese_1000genomes @ 1.490179
7 asur_chaubey + gujarati-patel_harappa + hazara_hgdp + japanese_hapmap @ 1.515176
8 japanese_hgdp + nepalese-b_xing + tharu_reich + tn-brahmin_xing @ 1.519543
9 japanese_hgdp + kurumba_reich + nepalese-b_xing + punjabi-ramgarhia_harappa @ 1.560326
10 gujarati-a_hapmap + hazara_hgdp + japanese_xing + santhal_chaubey @ 1.580216
11 japanese_hgdp + mala_reich + nepalese-b_xing + punjabi_harappa @ 1.581563
12 asur_chaubey + gujarati-a_1000genomes + hazara_hgdp + japanese_xing @ 1.587212
13 asur_chaubey + gujarati-a_1000genomes + hazara_hgdp + japanese_1000genomes @ 1.592514
14 iyer-brahmin_harappa + japanese_hgdp + nepalese-b_xing + tharu_reich @ 1.594545
15 japanese_hgdp + nepalese-b_xing + rajasthani_harappa + tharu_reich @ 1.599657
16 japanese_hgdp + mala_reich + nepalese-b_xing + punjabi-ramgarhia_harappa @ 1.609986
17 asur_chaubey + gujarati-a_1000genomes + hazara_hgdp + japanese_hapmap @ 1.611556
18 brahmin-tamil-nadu_metspalu + japanese_hgdp + nepalese-b_xing + tharu_reich @ 1.612343
19 gujarati-patel_harappa + hazara_hgdp + japanese_xing + santhal_reich @ 1.616233
20 gujarati-a_hapmap + hazara_hgdp + japanese_xing + santhal_reich @ 1.627727
Kit A270337 (Last name- Thakuri) 169219 SNPs used in this evaluation
Admix Results (sorted):
# Population Percent
1 S-Indian 31.36
2 NE-Asian 28.24
3 Baloch 19.79
4 NE-Euro 5.79
5 Siberian 3.72
6 Caucasian 3.13
7 SE-Asian 3.09
8 Papuan 1.75
9 SW-Asian 1.46
10 American 1.09
11 Mediterranean 0.42
12 Beringian 0.16
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 7.3
2 nepalese-b (xing) 24.26
3 bengali (harappa) 27.16
4 hazara (hgdp) 28.23
5 uyghur (hgdp) 28.28
6 khasi (chaubey) 29.02
7 nepalese-a (xing) 29.05
8 up-muslim (harappa) 29.38
9 burusho (hgdp) 29.72
10 bengali-brahmin (harappa) 29.73
11 bihari-muslim (harappa) 29.99
12 kashmiri (harappa) 30.71
13 gujarati-muslim (harappa) 31.07
14 great-andamanese (reich) 31.08
15 cochin-jew (behar) 31.6
16 punjabi (harappa) 31.9
17 uzbek (behar) 31.92
18 sri-lankan (harappa) 32.04
19 bihari (harappa) 32.31
20 vaish (reich) 32.36
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 61.7% bihari (harappa) + 38.3% tu (hgdp) @ 2.61
2 60.3% srivastava (reich) + 39.7% tu (hgdp) @ 2.62
3 55.1% nepalese-b (xing) + 44.9% bengali-brahmin (harappa) @ 2.92
4 61.5% caribbean-indian (harappa) + 38.5% tu (hgdp) @ 3.08
5 66.6% bihari-muslim (harappa) + 33.4% naga (metspalu) @ 3.15
6 84% nepalese-c (xing) + 16% garo (chaubey) @ 3.17
7 61.4% up (harappa) + 38.6% tu (hgdp) @ 3.29
8 66.8% bengali-brahmin (harappa) + 33.2% naga (metspalu) @ 3.32
9 60.6% ap-brahmin (xing) + 39.4% tu (hgdp) @ 3.33
10 67% bihari-muslim (harappa) + 33% aonaga (reich) @ 3.36
11 57.3% nepalese-b (xing) + 42.7% up-brahmin (harappa) @ 3.39
12 55.4% nepalese-b (xing) + 44.6% bihari-muslim (harappa) @ 3.44
13 67.2% bengali-brahmin (harappa) + 32.8% aonaga (reich) @ 3.44
14 66.5% bengali-brahmin (harappa) + 33.5% nysha (reich) @ 3.45
15 57.3% nepalese-b (xing) + 42.7% brahmin-uttar-pradesh (metspalu) @ 3.46
16 66.3% bihari-muslim (harappa) + 33.7% nysha (reich) @ 3.47
17 61.7% karnataka-brahmin (harappa) + 38.3% tu (hgdp) @ 3.57
18 62% srivastava (reich) + 38% japanese (hgdp) @ 3.59
19 57.3% nepalese-b (xing) + 42.7% vaish (reich) @ 3.69
20 60.4% up-muslim (metspalu) + 39.6% tu (hgdp) @ 3.7
While the Thakuri guy happens to be a mix of 1/4 Shahi Thakuri (Jumla) + 1/4 Jharra Chhetri paternally and 1/4 Jharra Chhetri + 1/4 Kumai Bahun maternally. I think the Thakuri on his unadmixed paternal side could have some high East Asian with elevated South Indian type mix becoz all the Chhetris (including half Chhetris) are within the 30-35% S-Indian range and it's similar ratio. I have collected Chhetri kits, they look mostly consistent while Thakuris and Uttarakhand Rajputs are not yet sufficient and are inconsistent to have any conclusion. His Y-DNA is interesting C2b with M mt-DNA per Wegene.
1/2 Chhetri (Rayamajhi) with 1/2 Tibeto-Burmese Sunuwar Kiranti (confirmed) looks like this which has less than 20% S-Indian (note that full Kirantis have consistent 8-11% S-Indian themselves).
Admix Results (sorted):
# Population Percent
1 NE-Asian 42.52
2 S-Indian 19.78
3 Baloch 16.94
4 Siberian 7.39
5 Caucasian 3.71
6 SE-Asian 3.51
7 NE-Euro 3.39
8 Papuan 2.13
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-b_xing @ 13.719532
2 uyghur_hgdp @ 24.603107
3 nepalese-c_xing @ 24.772760
4 brahmin-uttaranchal_metspalu @ 24.803349
5 hazara_hgdp @ 25.577114
6 burmanese_chaubey @ 28.436285
7 garo_chaubey @ 28.953613
8 kyrgyz_hodoglugil @ 32.672218
9 kyrgyz_xing @ 32.907661
10 uzbek_behar @ 33.500671
11 kazakh_harappa @ 33.885506
12 mongola_hgdp @ 35.674599
13 khasi_chaubey @ 35.937344
14 xibo_hgdp @ 36.911358
15 tu_hgdp @ 37.706707
16 mongolian_rasmussen @ 38.118603
17 hezhen_hgdp @ 39.661724
18 naxi_hgdp @ 39.861649
19 daur_hgdp @ 39.942516
20 yi_hgdp @ 40.525150
Using 2 populations approximation:
1 50% naga_metspalu +50% up-muslim_harappa @ 4.085234
Using 3 populations approximation:
1 50% nepalese-b_xing +25% sindhi_hgdp +25% xibo_hgdp @ 3.277711
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++
1 burusho_hgdp + japanese_1000genomes + mongola_hgdp + tharu_reich @ 2.197557
2 burusho_hgdp + japanese_hapmap + mongola_hgdp + tharu_reich @ 2.231787
3 bengali_harappa + burusho_hgdp + japanese_hgdp + nysha_reich @ 2.231829
4 bengali_harappa + japanese_1000genomes + kashmiri-pandit_reich + mongola_hgdp @ 2.242476
5 bengali_harappa + japanese_1000genomes + mongola_hgdp + punjabi_harappa @ 2.263330
6 bengali_harappa + japanese_hapmap + kashmiri-pandit_reich + mongola_hgdp @ 2.279386
7 bengali_harappa + japanese_hapmap + mongola_hgdp + punjabi_harappa @ 2.290433
8 burusho_hgdp + japanese_1000genomes + mongola_hgdp + south-african-indian_harappa @ 2.311694
9 meena_metspalu + naga_metspalu + nepalese-c_xing + xibo_hgdp @ 2.319801
10 burusho_hgdp + japanese_hapmap + mongola_hgdp + south-african-indian_harappa @ 2.321918
11 bengali_harappa + japanese_1000genomes + mongola_hgdp + punjabi-jatt-muslim_harappa @ 2.340503
12 bengali_harappa + japanese_hapmap + mongola_hgdp + punjabi-jatt-muslim_harappa @ 2.360650
13 bengali_harappa + japanese_1000genomes + kashmiri_harappa + mongola_hgdp @ 2.361342
14 bengali_harappa + japanese_1000genomes + kashmiri-pandit_reich + xibo_hgdp @ 2.370569
15 bengali_harappa + japanese_hapmap + kashmiri_harappa + mongola_hgdp @ 2.384382
16 bengali_harappa + japanese_1000genomes + punjabi_harappa + xibo_hgdp @ 2.390329
17 bengali_harappa + japanese_hapmap + kashmiri-pandit_reich + xibo_hgdp @ 2.416967
18 bengali_harappa + japanese_hapmap + punjabi_harappa + xibo_hgdp @ 2.426302
19 bengali_harappa + burusho_hgdp + japanese_hgdp + tibet_simonson @ 2.434592
20 bengali_harappa + japanese_1000genomes + pushtikar-brahmin_harappa + xibo_hgdp @ 2.436122
Trouble
11-01-2020, 06:07 AM
Them having so much NE Asian as opposed to SE Asian isn’t really surprising. Nepalis are located far from any SE Asian population and are instead proximate to NE Asians like Tibetans so it makes sense.
Kaazi
11-07-2020, 08:14 AM
Pathak - Kumai Bahun. Matches another Kumai Bahun. Lower Baloch and higher NE-Euro.
Admix Results (sorted):
# Population Percent
1 S-Indian 33.99
2 Baloch 31.39
3 NE-Euro 13.75
4 Caucasian 7.73
5 NE-Asian 6.02
6 Siberian 2.53
7 Beringian 1.85
8 Mediterranean 1.39
9 SE-Asian 0.66
10 Papuan 0.56
11 SW-Asian 0.12
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 6.57
2 up-muslim (harappa) 8.12
3 up-brahmin (harappa) 9.59
4 bengali-brahmin (harappa) 9.83
5 punjabi (harappa) 10.37
6 punjabi-brahmin (harappa) 10.56
7 kashmiri (harappa) 10.62
8 singapore-indian-c (sgvp) 10.66
9 kashmiri-pandit (reich) 10.69
10 brahmin-uttar-pradesh (metspalu) 10.84
11 punjabi-jatt-muslim (harappa) 11.24
12 haryana-jatt (harappa) 11.32
13 bihari-muslim (harappa) 11.33
14 punjabi-ramgarhia (harappa) 11.57
15 punjabi-jatt-sikh (harappa) 11.57
16 kashmiri-pahari (harappa) 11.66
17 punjabi-khatri (harappa) 12.27
18 gujarati-muslim (harappa) 12.28
19 vaish (reich) 12.58
20 up-kshatriya (metspalu) 13.99
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 78.8% brahmin-uttar-pradesh (metspalu) + 21.2% uyghur (hgdp) @ 2.9
2 81% up-brahmin (harappa) + 19% uyghur (hgdp) @ 2.93
3 77.5% brahmin-uttar-pradesh (metspalu) + 22.5% uzbek (behar) @ 3.08
4 80.1% up-brahmin (harappa) + 19.9% uzbek (behar) @ 3.58
5 78.7% brahmin-uttar-pradesh (metspalu) + 21.3% hazara (hgdp) @ 3.76
6 81% up-brahmin (harappa) + 19% hazara (hgdp) @ 3.83
7 84.5% up-brahmin (harappa) + 15.5% kazakh (harappa) @ 3.87
8 85.5% up-brahmin (harappa) + 14.5% kyrgyz (hodoglugil) @ 3.94
9 75% vaish (reich) + 25% uzbek (behar) @ 4.04
10 80.1% bengali-brahmin (harappa) + 19.9% uzbek (behar) @ 4.24
11 89.5% up-brahmin (harappa) + 10.5% xibo (hgdp) @ 4.31
12 89.2% up-brahmin (harappa) + 10.8% mongola (hgdp) @ 4.34
13 76.7% vaish (reich) + 23.3% uyghur (hgdp) @ 4.41
14 82.8% brahmin-uttar-pradesh (metspalu) + 17.2% kazakh (harappa) @ 4.42
15 75.9% bengali-brahmin (harappa) + 24.1% tajik (yunusbayev) @ 4.48
16 89.6% up-brahmin (harappa) + 10.4% daur (hgdp) @ 4.55
17 89.6% up-brahmin (harappa) + 10.4% hezhen (hgdp) @ 4.56
18 83.6% brahmin-uttar-pradesh (metspalu) + 16.4% kyrgyz (xing) @ 4.6
19 81.7% bengali-brahmin (harappa) + 18.3% uyghur (hgdp) @ 4.6
20 84% brahmin-uttar-pradesh (metspalu) + 16% kyrgyz (hodoglugil) @ 4.62
4-oracles
Admix Results (sorted):
# Population Percent
1 S-Indian 33.99
2 Baloch 31.39
3 NE-Euro 13.75
4 Caucasian 7.73
5 NE-Asian 6.02
6 Siberian 2.53
7 Beringian 1.85
8 Mediterranean 1.39
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepali_harappa @ 5.198087
2 nepalese-a_xing @ 7.166105
3 rajasthani-brahmin_harappa @ 8.534562
4 up-muslim_harappa @ 8.803131
5 pushtikar-brahmin_harappa @ 10.408777
6 up-brahmin_harappa @ 10.444345
7 bihari-brahmin_harappa @ 10.596484
8 bengali-brahmin_harappa @ 10.748790
9 punjabi_harappa @ 11.327436
10 punjabi-brahmin_harappa @ 11.499658
11 singapore-indian-c_sgvp @ 11.628830
12 kashmiri_harappa @ 11.674507
13 kashmiri-pandit_reich @ 11.705649
14 brahmin-uttar-pradesh_metspalu @ 11.825355
15 punjabi-jatt-muslim_harappa @ 12.249531
16 haryana-jatt_harappa @ 12.307117
17 bihari-muslim_harappa @ 12.429977
18 punjabi-jatt-sikh_harappa @ 12.626357
19 punjabi-ramgarhia_harappa @ 12.648858
20 kashmiri-pahari_harappa @ 12.763898
Using 2 populations approximation:
1 50% nepali_harappa +50% nepali_harappa @ 5.198087
Using 3 populations approximation:
1 50% burusho_hgdp +25% piramalai-kallar_metspalu +25% singapore-indian-d_sgvp @ 2.514851
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++
1 burusho_hgdp + burusho_hgdp + piramalai-kallar_metspalu + singapore-indian-d_sgvp @ 2.514851
2 burusho_hgdp + burusho_hgdp + singapore-indian-a_sgvp + singapore-indian-d_sgvp @ 2.527650
3 burusho_hgdp + burusho_hgdp + kurumba_metspalu + singapore-indian-d_sgvp @ 2.549439
4 burusho_hgdp + burusho_hgdp + singapore-indian-d_sgvp + tamil-nadar_harappa @ 2.618906
5 brahmin-uttaranchal_metspalu + gujarati-a_hapmap + kalash_hgdp + singapore-indian-d_sgvp @ 2.619441
6 burusho_hgdp + burusho_hgdp + chenchu_metspalu + singapore-indian-d_sgvp @ 2.635261
7 burusho_hgdp + burusho_hgdp + kol_metspalu + singapore-indian-d_sgvp @ 2.652948
8 burusho_hgdp + burusho_hgdp + kamsali_reich + singapore-indian-d_sgvp @ 2.653399
9 burusho_hgdp + burusho_hgdp + hallaki_reich + singapore-indian-d_sgvp @ 2.664487
10 burusho_hgdp + burusho_hgdp + naidu_reich + singapore-indian-d_sgvp @ 2.673434
11 burusho_hgdp + burusho_hgdp + singapore-indian-d_sgvp + vysya_reich @ 2.680967
12 brahmin-uttaranchal_metspalu + gujarati-a_1000genomes + kalash_hgdp + singapore-indian-d_sgvp @ 2.690729
13 gujarati-a_hapmap + kalash_hgdp + nepalese-c_xing + singapore-indian-d_sgvp @ 2.763524
14 burusho_hgdp + burusho_hgdp + singapore-indian-d_sgvp + sinhalese_harappa @ 2.766461
15 burusho_hgdp + burusho_hgdp + dusadh_metspalu + singapore-indian-d_sgvp @ 2.802631
16 burusho_hgdp + burusho_hgdp + singapore-indian-d_sgvp + tamil-vellalar_harappa @ 2.826082
17 burusho_hgdp + burusho_hgdp + singapore-indian-d_sgvp + tamil-nadu-scheduled-caste_metspalu @ 2.856338
18 gujarati-a_1000genomes + kalash_hgdp + nepalese-c_xing + singapore-indian-d_sgvp @ 2.867629
19 brahmin-uttaranchal_metspalu + kalash_hgdp + singapore-indian-d_sgvp + velama_metspalu @ 2.896302
20 brahmin-uttaranchal_metspalu + gujarati-patel_harappa + kalash_hgdp + singapore-indian-d_sgvp @ 2.913427
Kaazi
11-07-2020, 09:59 AM
Shiwakoti- mixed Kumai Bahun with irregular ancestry at great-grandparent level. Baloch is expensed a lil for NE-Asian.
Admix Results (sorted):
# Population Percent
1 S-Indian 34.67
2 Baloch 30.86
3 NE-Euro 13.12
4 NE-Asian 10.66
5 Caucasian 8.07
6 Beringian 2.21
7 Siberian 0.31
8 SE-Asian 0.11
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 9.62
2 up-muslim (harappa) 11.15
3 bengali-brahmin (harappa) 12.17
4 up-brahmin (harappa) 12.58
5 kashmiri (harappa) 12.73
6 punjabi (harappa) 13
7 bihari-muslim (harappa) 13.23
8 singapore-indian-c (sgvp) 13.25
9 punjabi-brahmin (harappa) 13.29
10 kashmiri-pandit (reich) 13.34
11 brahmin-uttar-pradesh (metspalu) 13.42
12 kashmiri-pahari (harappa) 13.8
13 punjabi-jatt-muslim (harappa) 13.99
14 gujarati-muslim (harappa) 14.3
15 punjabi-ramgarhia (harappa) 14.34
16 vaish (reich) 14.69
17 haryana-jatt (harappa) 14.75
18 punjabi-jatt-sikh (harappa) 14.79
19 punjabi-khatri (harappa) 14.85
20 burusho (hgdp) 15.03
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 88.9% up-brahmin (harappa) + 11.1% japanese (1000genomes) @ 4.48
2 87.3% up-brahmin (harappa) + 12.7% aonaga (reich) @ 4.61
3 85.9% up-brahmin (harappa) + 14.1% tu (hgdp) @ 4.62
4 87.2% up-brahmin (harappa) + 12.8% naga (metspalu) @ 4.63
5 87% up-brahmin (harappa) + 13% nysha (reich) @ 4.63
6 86.7% up-brahmin (harappa) + 13.3% tibet (simonson) @ 4.73
7 86.9% up-brahmin (harappa) + 13.1% han-nchina (hgdp) @ 4.77
8 79.5% up-brahmin (harappa) + 20.5% nepalese-b (xing) @ 5.06
9 86.4% up-brahmin (harappa) + 13.6% naxi (hgdp) @ 5.07
10 87.1% up-brahmin (harappa) + 12.9% chinese-beijing (1000genomes) @ 5.12
11 86.5% up-brahmin (harappa) + 13.5% yi (hgdp) @ 5.12
12 56.6% up-brahmin (harappa) + 43.4% nepalese-c (xing) @ 5.23
13 64.9% nepalese-a (xing) + 35.1% nepalese-c (xing) @ 5.26
14 86.1% up-brahmin (harappa) + 13.9% xibo (hgdp) @ 5.46
15 85% nepalese-a (xing) + 15% nepalese-b (xing) @ 5.48
16 85.4% brahmin-uttar-pradesh (metspalu) + 14.6% tu (hgdp) @ 5.51
17 88.5% brahmin-uttar-pradesh (metspalu) + 11.5% japanese (1000genomes) @ 5.62
18 55.1% punjabi-brahmin (harappa) + 44.9% nepalese-c (xing) @ 5.64
19 86.4% brahmin-uttar-pradesh (metspalu) + 13.6% han-nchina (hgdp) @ 5.67
20 78.8% punjabi-brahmin (harappa) + 21.2% nepalese-b (xing) @ 5.7
4-oracles
Admix Results (sorted):
# Population Percent
1 S-Indian 34.67
2 Baloch 30.86
3 NE-Euro 13.12
4 NE-Asian 10.66
5 Caucasian 8.07
6 Beringian 2.21
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepali_harappa @ 9.206472
2 nepalese-a_xing @ 10.364439
3 rajasthani-brahmin_harappa @ 11.780776
4 up-muslim_harappa @ 11.939833
5 bihari-brahmin_harappa @ 13.045640
6 bengali-brahmin_harappa @ 13.148339
7 up-brahmin_harappa @ 13.561355
8 kashmiri_harappa @ 13.853408
9 punjabi_harappa @ 14.065630
10 pushtikar-brahmin_harappa @ 14.254196
11 bihari-muslim_harappa @ 14.345311
12 singapore-indian-c_sgvp @ 14.353746
13 punjabi-brahmin_harappa @ 14.374490
14 kashmiri-pandit_reich @ 14.462452
15 brahmin-uttar-pradesh_metspalu @ 14.501454
16 kashmiri-pahari_harappa @ 15.004475
17 punjabi-jatt-muslim_harappa @ 15.109474
18 gujarati-muslim_harappa @ 15.503991
19 punjabi-ramgarhia_harappa @ 15.532806
20 vaish_reich @ 15.934249
Using 2 populations approximation:
1 50% nepalese-c_xing +50% rajasthani-brahmin_harappa @ 5.152104
Using 3 populations approximation:
1 50% nepalese-c_xing +25% rajasthani-brahmin_harappa +25% up-brahmin_harappa @ 5.116282
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
1 brahmin-uttaranchal_metspalu + burusho_hgdp + goan_harappa + singapore-indian-d_sgvp @ 4.889584
2 brahmin-uttaranchal_metspalu + burusho_hgdp + kurmi_metspalu + singapore-indian-d_sgvp @ 4.924558
3 burusho_hgdp + goan_harappa + nepalese-c_xing + singapore-indian-d_sgvp @ 4.931631
4 ap-reddy_harappa + brahmin-uttaranchal_metspalu + burusho_hgdp + singapore-indian-d_sgvp @ 4.933664
5 burusho_hgdp + kurmi_metspalu + nepalese-c_xing + singapore-indian-d_sgvp @ 4.942174
6 ap-reddy_harappa + burusho_hgdp + nepalese-c_xing + singapore-indian-d_sgvp @ 4.950016
7 brahmin-uttar-pradesh_metspalu + haryana-jatt_harappa + nepalese-c_xing + nepalese-c_xing @ 4.977239
8 brahmin-uttaranchal_metspalu + burusho_hgdp + singapore-indian-d_sgvp + velama_metspalu @ 4.993747
9 burusho_hgdp + nepalese-c_xing + singapore-indian-d_sgvp + velama_metspalu @ 5.003798
10 haryana-jatt_harappa + nepalese-c_xing + nepalese-c_xing + up-brahmin_harappa @ 5.014738
11 brahmin-uttaranchal_metspalu + burusho_hgdp + singapore-indian-d_sgvp + velama_reich @ 5.015009
12 burusho_hgdp + nepalese-c_xing + singapore-indian-d_sgvp + velama_reich @ 5.015361
13 brahmin-tamil-nadu_metspalu + brahmin-uttaranchal_metspalu + burusho_hgdp + singapore-indian-d_sgvp @ 5.047764
14 brahmin-tamil-nadu_metspalu + burusho_hgdp + nepalese-c_xing + singapore-indian-d_sgvp @ 5.089219
15 brahmin-uttaranchal_metspalu + burusho_hgdp + singapore-indian-b_sgvp + singapore-indian-d_sgvp @ 5.113711
16 nepalese-c_xing + nepalese-c_xing + rajasthani-brahmin_harappa + up-brahmin_harappa @ 5.116282
17 brahmin-uttaranchal_metspalu + burusho_hgdp + kerala-nair_harappa + singapore-indian-d_sgvp @ 5.136610
18 nepalese-c_xing + nepalese-c_xing + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa @ 5.152104
19 brahmin-uttar-pradesh_metspalu + brahmin-uttaranchal_metspalu + haryana-jatt_harappa + nepalese-c_xing @ 5.152446
20 burusho_hgdp + gujarati-a_hapmap + nepalese-c_xing + singapore-indian-d_sgvp @ 5.157307
Upadhyaya- Bahun
Admix Results (sorted):
# Population Percent
1 S-Indian 35.23
2 Baloch 34.9
3 NE-Euro 11.58
4 Caucasian 8.2
5 Mediterranean 2.45
6 NE-Asian 2.15
7 Siberian 2.14
8 American 1.84
9 Beringian 0.68
10 San 0.56
11 SW-Asian 0.27
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 4.6
2 up-muslim (harappa) 4.82
3 up-brahmin (harappa) 5.79
4 punjabi-brahmin (harappa) 6.15
5 singapore-indian-c (sgvp) 6.4
6 punjabi (harappa) 6.52
7 kashmiri-pandit (reich) 6.86
8 punjabi-ramgarhia (harappa) 6.95
9 kashmiri-pahari (harappa) 7.45
10 brahmin-uttar-pradesh (metspalu) 7.55
11 bengali-brahmin (harappa) 7.69
12 punjabi-jatt-muslim (harappa) 8.2
13 kashmiri (harappa) 8.29
14 punjabi-jatt-sikh (harappa) 8.75
15 bihari-muslim (harappa) 9
16 gujarati-muslim (harappa) 9.22
17 punjabi-khatri (harappa) 9.53
18 vaish (reich) 9.69
19 haryana-jatt (harappa) 10.23
20 up-kshatriya (metspalu) 10.62
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 80% brahmin-uttar-pradesh (metspalu) + 20% tajik (yunusbayev) @ 1.85
2 75.6% vaish (reich) + 24.4% tajik (yunusbayev) @ 1.97
3 73.8% up-kshatriya (metspalu) + 26.2% tajik (yunusbayev) @ 2.03
4 83% brahmin-uttar-pradesh (metspalu) + 17% turkmen (yunusbayev) @ 2.12
5 53.4% bihari-muslim (harappa) + 46.6% haryana-jatt (harappa) @ 2.19
6 63.9% haryana-jatt (harappa) + 36.1% ap-hyderabad (harappa) @ 2.35
7 88.3% up-brahmin (harappa) + 11.7% uzbek (behar) @ 2.43
8 66% haryana-jatt (harappa) + 34% tamil (harappa) @ 2.56
9 89.9% up-brahmin (harappa) + 10.1% nogai (yunusbayev) @ 2.57
10 51.7% nepalese-a (xing) + 48.3% up-muslim (harappa) @ 2.59
11 87.3% up-brahmin (harappa) + 12.7% turkmen (yunusbayev) @ 2.64
12 72.2% brahmin-uttar-pradesh (metspalu) + 27.8% pashtun (harappa) @ 2.67
13 83.4% nepalese-a (xing) + 16.6% bene-israel-jew (behar) @ 2.71
14 58.3% haryana-jatt (harappa) + 41.7% rajasthani (harappa) @ 2.72
15 74.9% haryana-jatt (harappa) + 25.1% chenchu (metspalu) @ 2.79
16 65.3% haryana-jatt (harappa) + 34.7% kerala-muslim (harappa) @ 2.8
17 85.3% up-brahmin (harappa) + 14.7% tajik (yunusbayev) @ 2.81
18 67.1% haryana-jatt (harappa) + 32.9% andhra-pradesh (harappa) @ 2.84
19 89.5% up-brahmin (harappa) + 10.5% uyghur (hgdp) @ 2.85
20 59.9% haryana-jatt (harappa) + 40.1% up (harappa) @ 2.85
4-oracles
Admix Results (sorted):
# Population Percent
1 S-Indian 35.23
2 Baloch 34.90
3 NE-Euro 11.58
4 Caucasian 8.20
5 Mediterranean 2.45
6 NE-Asian 2.15
7 Siberian 2.14
8 American 1.84
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepali_harappa @ 4.854782
2 nepalese-a_xing @ 4.964157
3 up-muslim_harappa @ 5.191516
4 rajasthani-brahmin_harappa @ 5.894044
5 up-brahmin_harappa @ 6.236962
6 bihari-brahmin_harappa @ 6.490713
7 punjabi-brahmin_harappa @ 6.701596
8 singapore-indian-c_sgvp @ 6.961543
9 punjabi_harappa @ 7.090285
10 pushtikar-brahmin_harappa @ 7.175551
11 kashmiri-pandit_reich @ 7.543103
12 punjabi-ramgarhia_harappa @ 7.575932
13 kashmiri-pahari_harappa @ 8.131009
14 brahmin-uttar-pradesh_metspalu @ 8.285618
15 bengali-brahmin_harappa @ 8.425751
16 punjabi-jatt-muslim_harappa @ 8.843252
17 kashmiri_harappa @ 9.172607
18 punjabi-jatt-sikh_harappa @ 9.596004
19 bihari-muslim_harappa @ 9.877695
20 gujarati-muslim_harappa @ 10.082664
Using 2 populations approximation:
1 50% bihari-muslim_harappa +50% haryana-jatt_harappa @ 2.287063
Using 3 populations approximation:
1 50% brahmin-uttar-pradesh_metspalu +25% dharkar_metspalu +25% tajik_yunusbayev @ 1.677615
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++
1 bihari-brahmin_harappa + brahmin-uttar-pradesh_metspalu + srivastava_reich + tajik_yunusbayev @ 1.465751
2 ap-brahmin_xing + brahmin-uttar-pradesh_metspalu + brahmin-uttar-pradesh_metspalu + tajik_yunusbayev @ 1.490621
3 bihari-brahmin_harappa + srivastava_reich + tajik_yunusbayev + up-kshatriya_metspalu @ 1.591458
4 brahmin-uttar-pradesh_metspalu + tajik_yunusbayev + up-kshatriya_metspalu + vaish_reich @ 1.598415
5 brahmin-uttar-pradesh_metspalu + dharkar_metspalu + tajik_yunusbayev + up-brahmin_harappa @ 1.599925
6 kanjar_metspalu + oriya_harappa + rajasthani-brahmin_harappa + tajik_yunusbayev @ 1.615438
7 bihari-brahmin_harappa + srivastava_reich + tajik_yunusbayev + vaish_reich @ 1.615884
8 brahmin-uttar-pradesh_metspalu + tajik_yunusbayev + up-kshatriya_metspalu + up-kshatriya_metspalu @ 1.617914
9 brahmin-uttar-pradesh_metspalu + kanjar_metspalu + tajik_yunusbayev + up-brahmin_harappa @ 1.630568
10 bihari-brahmin_harappa + brahmin-uttar-pradesh_metspalu + dharkar_metspalu + tajik_yunusbayev @ 1.635365
11 dharkar_metspalu + haryana-jatt_harappa + kanjar_metspalu + tajik_yunusbayev @ 1.640825
12 bihari-brahmin_harappa + brahmin-uttar-pradesh_metspalu + kanjar_metspalu + tajik_yunusbayev @ 1.650331
13 bihari-brahmin_harappa + kanjar_metspalu + tajik_yunusbayev + up-brahmin_harappa @ 1.663743
14 brahmin-uttar-pradesh_metspalu + oriya_harappa + tajik_yunusbayev + up-kshatriya_metspalu @ 1.673884
15 tajik_yunusbayev + up-kshatriya_metspalu + vaish_reich + vaish_reich @ 1.674848
16 brahmin-uttar-pradesh_metspalu + brahmin-uttar-pradesh_metspalu + dharkar_metspalu + tajik_yunusbayev @ 1.677615
17 brahmin-uttar-pradesh_metspalu + oriya_harappa + tajik_yunusbayev + vaish_reich @ 1.680477
18 ap-brahmin_xing + brahmin-uttar-pradesh_metspalu + tajik_yunusbayev + vaish_reich @ 1.682434
19 bihari-brahmin_harappa + brahmin-uttar-pradesh_metspalu + tajik_yunusbayev + up-muslim_metspalu @ 1.696861
20 haryana-jatt_harappa + kanjar_metspalu + kanjar_metspalu + tajik_yunusbayev @ 1.697376
Kaazi
11-07-2020, 11:13 AM
Lohani- Another Kumai Bahun/ Brahmin
Admix Results (sorted):
# Population Percent
1 S-Indian 35.93
2 Baloch 32.63
3 NE-Euro 12.32
4 Caucasian 8.57
5 NE-Asian 6.74
6 Siberian 1.07
7 Beringian 0.87
8 Mediterranean 0.68
9 SE-Asian 0.51
10 American 0.38
11 San 0.28
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 6.36
2 up-muslim (harappa) 7.44
3 up-brahmin (harappa) 8.56
4 bengali-brahmin (harappa) 8.64
5 punjabi (harappa) 9.53
6 brahmin-uttar-pradesh (metspalu) 9.57
7 punjabi-brahmin (harappa) 9.61
8 singapore-indian-c (sgvp) 9.63
9 bihari-muslim (harappa) 9.74
10 kashmiri-pandit (reich) 9.86
11 kashmiri (harappa) 10.07
12 kashmiri-pahari (harappa) 10.35
13 punjabi-ramgarhia (harappa) 10.6
14 punjabi-jatt-muslim (harappa) 10.97
15 vaish (reich) 11.16
16 gujarati-muslim (harappa) 11.3
17 punjabi-jatt-sikh (harappa) 11.99
18 punjabi-khatri (harappa) 12.09
19 up-kshatriya (metspalu) 12.36
20 haryana-jatt (harappa) 12.68
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 81.9% brahmin-uttar-pradesh (metspalu) + 18.1% uyghur (hgdp) @ 3.46
2 90.6% up-brahmin (harappa) + 9.4% tu (hgdp) @ 3.53
3 91.3% up-brahmin (harappa) + 8.7% han-nchina (hgdp) @ 3.68
4 91.2% up-brahmin (harappa) + 8.8% tibet (simonson) @ 3.72
5 91.5% up-brahmin (harappa) + 8.5% naga (metspalu) @ 3.73
6 92.4% up-brahmin (harappa) + 7.6% japanese (xing) @ 3.73
7 91.6% up-brahmin (harappa) + 8.4% aonaga (reich) @ 3.73
8 91.4% up-brahmin (harappa) + 8.6% nysha (reich) @ 3.74
9 92.7% up-brahmin (harappa) + 7.3% japanese (1000genomes) @ 3.79
10 90.9% up-brahmin (harappa) + 9.1% naxi (hgdp) @ 3.82
11 90.6% up-brahmin (harappa) + 9.4% xibo (hgdp) @ 3.83
12 91% up-brahmin (harappa) + 9% yi (hgdp) @ 3.84
13 84.1% up-brahmin (harappa) + 15.9% uyghur (hgdp) @ 3.86
14 91.4% up-brahmin (harappa) + 8.6% chinese-beijing (1000genomes) @ 3.87
15 71.2% up-brahmin (harappa) + 28.8% nepalese-c (xing) @ 3.95
16 86.5% up-brahmin (harappa) + 13.5% nepalese-b (xing) @ 3.99
17 90.5% up-brahmin (harappa) + 9.5% mongola (hgdp) @ 4.04
18 81.9% brahmin-uttar-pradesh (metspalu) + 18.1% hazara (hgdp) @ 4.09
19 81.5% brahmin-uttar-pradesh (metspalu) + 18.5% uzbek (behar) @ 4.28
20 71.9% burusho (hgdp) + 28.1% chenchu (reich) @ 4.29
4-oracles
Admix Results (sorted):
# Population Percent
1 S-Indian 35.93
2 Baloch 32.63
3 NE-Euro 12.32
4 Caucasian 8.57
5 NE-Asian 6.74
6 Siberian 1.07
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepali_harappa @ 6.263240
2 nepalese-a_xing @ 6.958225
3 up-muslim_harappa @ 7.987803
4 rajasthani-brahmin_harappa @ 8.464643
5 bihari-brahmin_harappa @ 9.060861
6 up-brahmin_harappa @ 9.255029
7 bengali-brahmin_harappa @ 9.418639
8 punjabi_harappa @ 10.364846
9 brahmin-uttar-pradesh_metspalu @ 10.426805
10 punjabi-brahmin_harappa @ 10.446804
11 singapore-indian-c_sgvp @ 10.499664
12 pushtikar-brahmin_harappa @ 10.604454
13 bihari-muslim_harappa @ 10.648339
14 kashmiri-pandit_reich @ 10.767838
15 kashmiri_harappa @ 11.061530
16 kashmiri-pahari_harappa @ 11.322174
17 punjabi-ramgarhia_harappa @ 11.554712
18 punjabi-jatt-muslim_harappa @ 11.867926
19 vaish_reich @ 12.192599
20 gujarati-muslim_harappa @ 12.323140
Using 2 populations approximation:
1 50% nepalese-a_xing +50% nepali_harappa @ 5.751398
Using 3 populations approximation:
1 50% haryana-jatt_harappa +25% nepalese-c_xing +25% sourastrian_harappa @ 2.982543
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++
1 haryana-jatt_harappa + nepalese-c_xing + rajasthani-brahmin_harappa + srivastava_reich @ 2.430818
2 brahmin-uttaranchal_metspalu + haryana-jatt_harappa + rajasthani-brahmin_harappa + srivastava_reich @ 2.526868
3 bihari-muslim_harappa + nepalese-c_xing + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa @ 2.621052
4 haryana-jatt_harappa + nepalese-c_xing + rajasthani-brahmin_harappa + sourastrian_harappa @ 2.667651
5 bengali-brahmin_harappa + nepalese-c_xing + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa @ 2.713869
6 brahmin-uttar-pradesh_metspalu + nepalese-c_xing + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa @ 2.721192
7 bihari-muslim_harappa + brahmin-uttaranchal_metspalu + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa @ 2.730194
8 brahmin-uttaranchal_metspalu + caribbean-indian_harappa + haryana-jatt_harappa + rajasthani-brahmin_harappa @ 2.740621
9 bengali-brahmin_harappa + brahmin-uttaranchal_metspalu + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa @ 2.756010
10 brahmin-uttaranchal_metspalu + haryana-jatt_harappa + rajasthani-brahmin_harappa + sourastrian_harappa @ 2.765756
11 bihari_harappa + haryana-jatt_harappa + nepalese-c_xing + rajasthani-brahmin_harappa @ 2.784196
12 nepalese-c_xing + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa + vaish_reich @ 2.807640
13 caribbean-indian_harappa + haryana-jatt_harappa + nepalese-c_xing + rajasthani-brahmin_harappa @ 2.810222
14 haryana-jatt_harappa + nepalese-c_xing + punjabi-khatri_harappa + srivastava_reich @ 2.827926
15 bihari_harappa + brahmin-uttaranchal_metspalu + haryana-jatt_harappa + rajasthani-brahmin_harappa @ 2.840450
16 nepalese-c_xing + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa + srivastava_reich @ 2.847001
17 brahmin-uttar-pradesh_metspalu + brahmin-uttaranchal_metspalu + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa @ 2.854344
18 brahmin-uttaranchal_metspalu + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa + vaish_reich @ 2.881716
19 ap-hyderabad_harappa + haryana-jatt_harappa + nepalese-c_xing + rajasthani-brahmin_harappa @ 2.900856
20 haryana-jatt_harappa + nepalese-c_xing + rajasthani-brahmin_harappa + up-muslim_metspalu @ 2.914560
Kaazi
11-10-2020, 04:31 AM
These 3 Chhetri harappaworld scores were brought up by a Nepali Moderator from AG site. With them, now I've 9 Chhetri kits with consistent scores. Well, there are more contenders who could be Chhetri as well but not sure about them. Till now, mixed Chhetris including Kit A642452 (Khadka mixed with Newar+Indo-Burmese) and Kit M192608 (resembles Thakuri+Chhetri type score) were taken to compute Chhetri averages. Now, the average Chhetri harappa score (9 kits) stands at:
S Indian Baloch Caucasian NE Euro SE Asian Siberian NE Asian Papuan American Beringian Mediterranean SW Asian San E African Pygmy W African
32.93% 26.60% 5.03% 8.17% 1.50% 3.51% 18.69% 0.60% 1.02% 0.73% 0.77% 0.37% 0.03% 0.00% 0.02% 0.01%
Kit T675670 (deleted)- higher Baloch + Caucasian shifted
Admix Results (sorted):
# Population Percent
1 S-Indian 33.26
2 Baloch 29.14
3 NE-Asian 18.62
4 NE-Euro 7.23
5 Caucasian 6.4
6 Siberian 1.86
7 American 1.71
8 Papuan 1.22
9 Beringian 0.57
Kit M601925 (deleted)-similar to Rawat kit
Admix Results (sorted):
# Population Percent
1 S-Indian 32.75
2 Baloch 24.8
3 NE-Asian 21.53
4 NE-Euro 6.31
5 Caucasian 3.67
6 SE-Asian 3.67
7 Siberian 3.26
8 American 1.93
8 Mediterranean 1.31
9 Beringian 0.53
10 Papuan 0.22
Mixed Chhetri probably mixed with Thakuris since it looks almost a photocopy of the Shahi Thakuri kit who's mixed with Chhetris. Well, Chhetris with more than 30% East Asian/Siberian are certainly mixed.
Kit M192608 (deleted)
Admix Results (sorted):
# Population Percent
1 S-Indian 30.36
2 Baloch 21.05
3 NE-Asian 25.57
4 NE-Euro 6.14
5 Siberian 5.09
6 SE-Asian 3.97
7 Caucasian 3.61
8 American 1.69
8 Mediterranean 1.68
9 Papuan 0.76
10 Beringian 0.09
Kaazi
11-12-2020, 05:23 AM
Pradhan- Shrestha Newar. Looks half Bihari- half Tibetan as expected.
mtDNA: D4g2a1 Y DNA: O3a3b2
Admix Results (sorted):
# Population Percent
1 NE-Asian 38.11
2 S-Indian 28.99
3 Baloch 17.39
4 Siberian 6.45
5 NE-Euro 3.65
6 SE-Asian 1.88
7 Pygmy 1.27
8 Papuan 1.11
9 Caucasian 0.55
10 American 0.49
11 SW-Asian 0.11
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 14.79
2 nepalese-c (xing) 16.57
3 uyghur (hgdp) 27.95
4 hazara (hgdp) 28.25
5 garo (chaubey) 30.23
6 burmanese (chaubey) 30.44
7 khasi (chaubey) 31.76
8 uzbek (behar) 34.27
9 kyrgyz (xing) 35.9
10 kyrgyz (hodoglugil) 35.92
11 kazakh (harappa) 36.2
12 bengali (harappa) 36.78
13 great-andamanese (reich) 37.92
14 burusho (hgdp) 38.18
15 nepalese-a (xing) 38.65
16 up-muslim (harappa) 39.52
17 bengali-brahmin (harappa) 39.8
18 bihari-muslim (harappa) 39.97
19 kashmiri (harappa) 40.34
20 gujarati-muslim (harappa) 40.94
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 52.4% bihari (harappa) + 47.6% tibet (simonson) @ 2.36
2 51.2% srivastava (reich) + 48.8% tibet (simonson) @ 2.56
3 51% dharkar (metspalu) + 49% tibet (simonson) @ 2.71
4 53.8% bihari (harappa) + 46.2% nysha (reich) @ 2.93
5 53.2% srivastava (reich) + 46.8% naga (metspalu) @ 2.97
6 50.9% kanjar (metspalu) + 49.1% tibet (simonson) @ 2.98
7 52.1% up (harappa) + 47.9% tibet (simonson) @ 3
8 52.7% srivastava (reich) + 47.3% nysha (reich) @ 3.01
9 50.9% tharu (metspalu) + 49.1% tibet (simonson) @ 3.04
10 51.5% ap-brahmin (xing) + 48.5% tibet (simonson) @ 3.05
11 51.5% up-muslim (metspalu) + 48.5% tibet (simonson) @ 3.08
12 53.5% up (harappa) + 46.5% nysha (reich) @ 3.09
13 51.2% singapore-indian-b (sgvp) + 48.8% tibet (simonson) @ 3.11
14 54.3% bihari (harappa) + 45.7% naga (metspalu) @ 3.11
15 52.3% caribbean-indian (harappa) + 47.7% tibet (simonson) @ 3.2
16 54.1% up (harappa) + 45.9% naga (metspalu) @ 3.27
17 53.7% srivastava (reich) + 46.3% aonaga (reich) @ 3.32
18 54.8% bihari (harappa) + 45.2% aonaga (reich) @ 3.39
19 51.1% tu (hgdp) + 48.9% kanjar (metspalu) @ 3.4
20 54.6% up (harappa) + 45.4% aonaga (reich) @ 3.46
4-oracles
Admix Results (sorted):
# Population Percent
1 NE-Asian 38.11
2 S-Indian 28.99
3 Baloch 17.39
4 Siberian 6.45
5 NE-Euro 3.65
6 SE-Asian 1.88
7 Pygmy 1.27
8 Papuan 1.11
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-b_xing @ 15.924914
2 brahmin-uttaranchal_metspalu @ 17.772736
3 nepalese-c_xing @ 17.810066
4 uyghur_hgdp @ 30.684544
5 hazara_hgdp @ 30.822687
6 garo_chaubey @ 32.247585
7 burmanese_chaubey @ 32.406437
8 khasi_chaubey @ 33.569736
9 uzbek_behar @ 37.407825
10 kyrgyz_xing @ 38.687740
11 kyrgyz_hodoglugil @ 38.701534
12 kazakh_harappa @ 39.047733
13 bengali_harappa @ 39.530895
14 nepali_harappa @ 39.995934
15 great-andamanese_reich @ 40.433445
16 burusho_hgdp @ 41.316925
17 nepalese-a_xing @ 41.604095
18 up-muslim_harappa @ 42.444180
19 bengali-brahmin_harappa @ 42.750523
20 bihari-muslim_harappa @ 42.965714
Using 2 populations approximation:
1 50% bengali_metspalu +50% tibet_simonson @ 2.834206
Using 3 populations approximation:
1 50% kanjar_metspalu +25% tibet_simonson +25% tu_hgdp @ 2.171491
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++
1 aonaga_reich + kanjar_metspalu + kanjar_metspalu + xibo_hgdp @ 2.104805
2 kanjar_metspalu + kanjar_metspalu + tibet_simonson + tu_hgdp @ 2.171491
3 dharkar_metspalu + kanjar_metspalu + tibet_simonson + tu_hgdp @ 2.188180
4 naidu_reich + oriya_harappa + tibet_simonson + tu_hgdp @ 2.235671
5 kanjar_metspalu + kanjar_metspalu + nysha_reich + xibo_hgdp @ 2.239813
6 kol_metspalu + oriya_harappa + tibet_simonson + tu_hgdp @ 2.259659
7 kanjar_metspalu + srivastava_reich + tibet_simonson + tu_hgdp @ 2.271775
8 kurumba_metspalu + oriya_harappa + tibet_simonson + tu_hgdp @ 2.280017
9 dusadh_metspalu + oriya_harappa + tibet_simonson + tu_hgdp @ 2.285864
10 oriya_harappa + tibet_simonson + tu_hgdp + up-scheduled-caste_metspalu @ 2.291572
11 kanjar_metspalu + kanjar_metspalu + naga_metspalu + xibo_hgdp @ 2.303339
12 tibet_simonson + tu_hgdp + vaish_reich + vysya_reich @ 2.327087
13 aonaga_reich + dharkar_metspalu + kanjar_metspalu + xibo_hgdp @ 2.328406
14 oriya_harappa + tamil-nadar_harappa + tibet_simonson + tu_hgdp @ 2.333480
15 kanjar_metspalu + tibet_simonson + tu_hgdp + up-muslim_metspalu @ 2.337662
16 dharkar_metspalu + dharkar_metspalu + tibet_simonson + tu_hgdp @ 2.347479
17 lodi_reich + oriya_harappa + tibet_simonson + tu_hgdp @ 2.348389
18 aonaga_reich + kanjar_metspalu + up-muslim_metspalu + xibo_hgdp @ 2.355791
19 oriya_harappa + tamil-vellalar_harappa + tibet_simonson + tu_hgdp @ 2.360602
20 ap-brahmin_xing + tibet_simonson + tu_hgdp + up-scheduled-caste_metspalu @ 2.364310
Kaazi
11-25-2020, 04:24 AM
Kit T675670 (deleted)- higher Baloch + Caucasian shifted
Admix Results (sorted):
# Population Percent
1 S-Indian 33.26
2 Baloch 29.14
3 NE-Asian 18.62
4 NE-Euro 7.23
5 Caucasian 6.4
6 Siberian 1.86
7 American 1.71
8 Papuan 1.22
9 Beringian 0.57
I found that deleted Chhetri kit being uploaded here: Kit T530533
Admix Results (sorted):
# Population Percent
1 S-Indian 33.23
2 Baloch 29.15
3 NE-Asian 18.6
4 NE-Euro 7.25
5 Caucasian 6.4
6 Siberian 1.87
7 American 1.71
8 Papuan 1.26
9 Beringian 0.54
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 6.75
2 nepalese-a (xing) 16.69
3 up-muslim (harappa) 17.4
4 burusho (hgdp) 18.29
5 kashmiri (harappa) 18.38
6 bengali-brahmin (harappa) 18.53
7 bihari-muslim (harappa) 18.82
8 gujarati-muslim (harappa) 19.11
9 punjabi (harappa) 19.25
10 bengali (harappa) 19.53
11 kashmiri-pahari (harappa) 19.7
12 kashmiri-pandit (reich) 19.78
13 singapore-indian-c (sgvp) 19.93
14 punjabi-jatt-muslim (harappa) 20.14
15 up-brahmin (harappa) 20.18
16 punjabi-brahmin (harappa) 20.37
17 punjabi-ramgarhia (harappa) 20.56
18 brahmin-uttar-pradesh (metspalu) 20.62
19 vaish (reich) 20.96
20 karnataka-brahmin (harappa) 21.22
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 75.7% nepalese-c (xing) + 24.3% punjabi-brahmin (harappa) @ 1.77
2 75.4% nepalese-c (xing) + 24.6% singapore-indian-c (sgvp) @ 1.89
3 75.3% nepalese-c (xing) + 24.7% kashmiri-pandit (reich) @ 2.03
4 75.3% nepalese-c (xing) + 24.7% kashmiri-pahari (harappa) @ 2.05
5 76.1% nepalese-c (xing) + 23.9% punjabi-ramgarhia (harappa) @ 2.09
6 72.1% nepalese-c (xing) + 27.9% nepalese-a (xing) @ 2.11
7 74.9% nepalese-c (xing) + 25.1% punjabi (harappa) @ 2.12
8 77.9% nepalese-c (xing) + 22.1% punjabi-arain (xing) @ 2.37
9 76% nepalese-c (xing) + 24% up-brahmin (harappa) @ 2.38
10 76.1% nepalese-c (xing) + 23.9% punjabi-jatt-muslim (harappa) @ 2.5
11 77.3% nepalese-c (xing) + 22.7% punjabi-khatri (harappa) @ 2.51
12 77.3% nepalese-c (xing) + 22.7% punjabi-jatt-sikh (harappa) @ 2.52
13 74.5% nepalese-c (xing) + 25.5% kashmiri (harappa) @ 2.57
14 73.6% nepalese-c (xing) + 26.4% up-muslim (harappa) @ 2.72
15 79.8% nepalese-c (xing) + 20.2% bhatia (harappa) @ 2.77
16 79.5% nepalese-c (xing) + 20.5% sindhi (hgdp) @ 2.78
17 76.9% nepalese-c (xing) + 23.1% brahmin-uttar-pradesh (metspalu) @ 2.79
18 78% nepalese-c (xing) + 22% sindhi (harappa) @ 2.87
19 78.2% nepalese-c (xing) + 21.8% gujarati-b (hapmap) @ 2.97
20 75.8% nepalese-c (xing) + 24.2% gujarati-muslim (harappa) @ 3.04
4-oracles
Admix Results (sorted):
# Population Percent
1 S-Indian 33.23
2 Baloch 29.15
3 NE-Asian 18.60
4 NE-Euro 7.25
5 Caucasian 6.40
6 Siberian 1.87
7 American 1.71
8 Papuan 1.26
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-c_xing @ 7.260928
2 brahmin-uttaranchal_metspalu @ 7.613540
3 nepali_harappa @ 16.616776
4 nepalese-a_xing @ 17.955685
5 up-muslim_harappa @ 18.624523
6 kashmiri_harappa @ 19.864985
7 bengali-brahmin_harappa @ 19.903080
8 burusho_hgdp @ 19.975645
9 bihari-brahmin_harappa @ 20.033356
10 bihari-muslim_harappa @ 20.234079
11 gujarati-muslim_harappa @ 20.573637
12 rajasthani-brahmin_harappa @ 20.591730
13 punjabi_harappa @ 20.704044
14 bengali_harappa @ 21.151722
15 pushtikar-brahmin_harappa @ 21.221664
16 kashmiri-pahari_harappa @ 21.228310
17 kashmiri-pandit_reich @ 21.306421
18 singapore-indian-c_sgvp @ 21.445780
19 punjabi-jatt-muslim_harappa @ 21.638418
20 up-brahmin_harappa @ 21.674217
Using 2 populations approximation:
1 50% brahmin-uttaranchal_metspalu +50% nepali_harappa @ 5.495940
Using 3 populations approximation:
1 50% nepalese-c_xing +25% nepalese-c_xing +25% punjabi-brahmin_harappa @ 1.779999
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++
1 brahmin-uttaranchal_metspalu + nepalese-c_xing + nepalese-c_xing + punjabi-brahmin_harappa @ 1.758423
2 nepalese-c_xing + nepalese-c_xing + nepalese-c_xing + punjabi-brahmin_harappa @ 1.779999
3 brahmin-uttaranchal_metspalu + nepalese-c_xing + nepalese-c_xing + singapore-indian-c_sgvp @ 1.866394
4 nepalese-c_xing + nepalese-c_xing + nepalese-c_xing + singapore-indian-c_sgvp @ 1.890419
5 brahmin-uttaranchal_metspalu + brahmin-uttaranchal_metspalu + nepalese-c_xing + punjabi-brahmin_harappa @ 2.036249
6 brahmin-uttaranchal_metspalu + nepalese-c_xing + nepalese-c_xing + rajasthani-brahmin_harappa @ 2.040132
7 kashmiri-pahari_harappa + nepalese-c_xing + nepalese-c_xing + nepalese-c_xing @ 2.076166
8 kashmiri-pandit_reich + nepalese-c_xing + nepalese-c_xing + nepalese-c_xing @ 2.103760
9 brahmin-uttaranchal_metspalu + kashmiri-pahari_harappa + nepalese-c_xing + nepalese-c_xing @ 2.110266
10 brahmin-uttaranchal_metspalu + kashmiri-pandit_reich + nepalese-c_xing + nepalese-c_xing @ 2.113274
11 brahmin-uttaranchal_metspalu + brahmin-uttaranchal_metspalu + nepalese-c_xing + rajasthani-brahmin_harappa @ 2.128623
12 brahmin-uttaranchal_metspalu + brahmin-uttaranchal_metspalu + nepalese-c_xing + singapore-indian-c_sgvp @ 2.129524
13 brahmin-uttaranchal_metspalu + nepalese-c_xing + nepalese-c_xing + punjabi_harappa @ 2.145983
14 nepalese-c_xing + nepalese-c_xing + nepalese-c_xing + punjabi-ramgarhia_harappa @ 2.147733
15 nepalese-c_xing + nepalese-c_xing + nepalese-c_xing + rajasthani-brahmin_harappa @ 2.195570
16 nepalese-c_xing + nepalese-c_xing + nepalese-c_xing + punjabi_harappa @ 2.204038
17 brahmin-uttaranchal_metspalu + nepalese-c_xing + nepalese-c_xing + punjabi-ramgarhia_harappa @ 2.212823
18 bhatia_harappa + iyer-brahmin_harappa + nepalese-b_xing + nepalese-c_xing @ 2.272189
19 nepalese-a_xing + nepalese-c_xing + nepalese-c_xing + nepalese-c_xing @ 2.288415
20 bhatia_harappa + iyengar-brahmin_harappa + nepalese-b_xing + nepalese-c_xing @ 2.289673
From the Zack's runs of 3 kits with tag Nepali Brahmin under the head "Nepali", one (HRP0361) looks like mislabeled Chhetri.
S Indian Baloch Caucasian NE Euro SE Asian Siberian NE Asian Papuan American Beringian Mediterranean SW Asian San E African Pygmy W African
Chhetri like
HRP0361 34% 25% 5% 8% 3% 3% 17% 1% 0% 3% 1% 1% 0% 0% 0% 0%
Bahun like
HRP0362 34% 31% 9% 10% 0% 3% 4% 1% 1% 2% 2% 2% 0% 0% 0% 0%
HRP0315 32% 33% 8% 11% 2% 2% 4% 1% 1% 2% 3% 0% 0% 0% 1% 0%
Kaazi
12-18-2020, 04:20 PM
Gautam, a kin of the Gautam Bahun (3500+ cM shared).
This result is interesting. This sample has both the highest Baloch as well as the highest Med in harappaworld among Nepalis so far. The oracle shows it as normal (97% Bahun) but it is wrongly skewed towards higher Baloch and lower Caucasian. The result looks a mix of Bihari Brahmin (due to lower Caucasian) and Punjabi Ramgarhia (due to higher Baloch).
Admix Results (sorted):
# Population Percent
1 Baloch 37.58
2 S-Indian 33.99
3 NE-Euro 11.69
4 Caucasian 4.86
5 Mediterranean 4.11
6 Beringian 2.9
7 NE-Asian 2.49
8 Siberian 1.75
9 American 0.47
10 Papuan 0.14
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 4.35
2 up-brahmin (harappa) 6.38
3 punjabi-ramgarhia (harappa) 6.51
4 singapore-indian-c (sgvp) 6.55
5 punjabi-brahmin (harappa) 6.94
6 kashmiri-pahari (harappa) 7.47
7 punjabi (harappa) 7.68
8 up-muslim (harappa) 7.81
9 kashmiri-pandit (reich) 8.4
10 punjabi-jatt-sikh (harappa) 8.53
11 brahmin-uttar-pradesh (metspalu) 8.57
12 punjabi-jatt-muslim (harappa) 9.17
13 bengali-brahmin (harappa) 9.2
14 punjabi-arain (xing) 10.03
15 haryana-jatt (harappa) 10.13
16 kashmiri (harappa) 10.49
17 vaish (reich) 10.61
18 bihari-muslim (harappa) 10.99
19 gujarati-b (hapmap) 11.05
20 punjabi-khatri (harappa) 11.07
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 97.4% nepalese-a (xing) + 2.6% east-greenlander (rasmussen) @ 3.62
2 97.5% nepalese-a (xing) + 2.5% chukchi (rasmussen) @ 3.66
3 96.9% nepalese-a (xing) + 3.1% west-greenlander (rasmussen) @ 3.7
4 97.5% nepalese-a (xing) + 2.5% koryak (rasmussen) @ 3.75
5 97.1% nepalese-a (xing) + 2.9% sardinian (hgdp) @ 3.79
6 97.1% nepalese-a (xing) + 2.9% tunisia (henn2012) @ 3.81
7 97.1% nepalese-a (xing) + 2.9% basque (hgdp) @ 3.85
8 97.1% nepalese-a (xing) + 2.9% spain-basc (henn2012) @ 3.87
9 97.2% nepalese-a (xing) + 2.8% morocco-n (henn2012) @ 3.88
10 97.3% nepalese-a (xing) + 2.7% algeria (henn2012) @ 3.98
11 97.5% nepalese-a (xing) + 2.5% mozabite (hgdp) @ 4
12 97.3% nepalese-a (xing) + 2.7% spaniard (1000genomes) @ 4.01
13 97.6% nepalese-a (xing) + 2.4% saharawi (henn2012) @ 4.02
14 70.4% haryana-jatt (harappa) + 29.6% gujarati-patel (harappa) @ 4.03
15 75.2% nepalese-a (xing) + 24.8% up-brahmin (harappa) @ 4.03
16 97.6% nepalese-a (xing) + 2.4% morocco-s (henn2012) @ 4.04
17 75.9% nepalese-a (xing) + 24.1% punjabi-ramgarhia (harappa) @ 4.04
18 97.6% nepalese-a (xing) + 2.4% moroccan (behar) @ 4.06
19 97.4% nepalese-a (xing) + 2.6% puerto-rican (1000genomes) @ 4.09
20 97.7% nepalese-a (xing) + 2.3% italian (hgdp) @ 4.14
4-oracles
Admix Results (sorted):
# Population Percent
1 Baloch 37.58
2 S-Indian 33.99
3 NE-Euro 11.69
4 Caucasian 4.86
5 Mediterranean 4.11
6 Beringian 2.90
7 NE-Asian 2.49
8 Siberian 1.75
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-a_xing @ 4.494870
2 bihari-brahmin_harappa @ 6.593113
3 nepali_harappa @ 6.607430
4 rajasthani-brahmin_harappa @ 6.729005
5 up-brahmin_harappa @ 6.920991
6 punjabi-ramgarhia_harappa @ 7.057119
7 singapore-indian-c_sgvp @ 7.109181
8 punjabi-brahmin_harappa @ 7.589705
9 kashmiri-pahari_harappa @ 8.161404
10 punjabi_harappa @ 8.404016
11 up-muslim_harappa @ 8.528448
12 kashmiri-pandit_reich @ 9.264102
13 brahmin-uttar-pradesh_metspalu @ 9.322686
14 punjabi-jatt-sikh_harappa @ 9.346738
15 pushtikar-brahmin_harappa @ 9.866002
16 bengali-brahmin_harappa @ 10.027527
17 punjabi-jatt-muslim_harappa @ 10.044335
18 punjabi-arain_xing @ 10.971739
19 haryana-jatt_harappa @ 11.101370
20 kashmiri_harappa @ 11.585594
Using 2 populations approximation:
1 50% bihari-brahmin_harappa +50% nepali_harappa @ 4.399125
Using 3 populations approximation:
1 50% nepalese-a_xing +25% oriya_harappa +25% punjabi-jatt-sikh_harappa @ 3.837580
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++
1 haryana-jatt_harappa + nepali_harappa + oriya_harappa + punjabi-ramgarhia_harappa @ 3.450643
2 nepalese-a_xing + nepali_harappa + oriya_harappa + punjabi-jatt-sikh_harappa @ 3.509068
3 haryana-jatt_harappa + nepalese-a_xing + nepali_harappa + oriya_harappa @ 3.519726
4 bihari-brahmin_harappa + burusho_hgdp + haryana-jatt_harappa + oriya_harappa @ 3.533494
5 burusho_hgdp + haryana-jatt_harappa + oriya_harappa + oriya_harappa @ 3.549999
6 haryana-jatt_harappa + kashmiri-pahari_harappa + nepali_harappa + oriya_harappa @ 3.582840
7 gujarati-patel_harappa + haryana-jatt_harappa + haryana-jatt_harappa + nepali_harappa @ 3.588212
8 burusho_hgdp + haryana-jatt_harappa + oriya_harappa + up-brahmin_harappa @ 3.597841
9 brahmin-uttar-pradesh_metspalu + burusho_hgdp + haryana-jatt_harappa + oriya_harappa @ 3.615441
10 burusho_hgdp + haryana-jatt_harappa + oriya_harappa + vaish_reich @ 3.634338
11 gujarati-a_hapmap + haryana-jatt_harappa + haryana-jatt_harappa + nepali_harappa @ 3.649953
12 bengali-brahmin_harappa + burusho_hgdp + haryana-jatt_harappa + oriya_harappa @ 3.654640
13 haryana-jatt_harappa + meena_metspalu + nepalese-a_xing + nepali_harappa @ 3.660807
14 haryana-jatt_harappa + nepali_harappa + oriya_harappa + singapore-indian-c_sgvp @ 3.661520
15 haryana-jatt_harappa + nepalese-a_xing + oriya_harappa + punjabi-ramgarhia_harappa @ 3.674443
16 haryana-jatt_harappa + nepali_harappa + oriya_harappa + punjabi-arain_xing @ 3.697456
17 haryana-jatt_harappa + kashmiri-pahari_harappa + nepalese-a_xing + oriya_harappa @ 3.703251
18 nepali_harappa + oriya_harappa + punjabi-jatt-sikh_harappa + rajasthani-brahmin_harappa @ 3.729641
19 burusho_hgdp + haryana-jatt_harappa + oriya_harappa + up-kshatriya_metspalu @ 3.739396
20 haryana-jatt_harappa + nepalese-a_xing + oriya_harappa + punjabi-jatt-sikh_harappa @ 3.741186
Distance to: Gautam
6.37263682 Nepali_Khas_Brahmin
6.59728732 Bihari_Brahmin
6.60931161 Nepali
6.72873688 Rajasthani_Brahmin
6.92365510 Uttar_Pradesh_Brahmin
7.06030453 Punjabi_Ramgarhia
7.11351531 Singapore_Indian_C
7.58946638 Punjabi_Brahmin
8.15948528 Kashmiri_Pahari
8.23148832 Bhumihar_Brahmin
8.35739792 Punjabi_Tarkhan
8.39992857 Punjabi
8.53147115 Uttar_Pradesh_Muslim1
8.59035506 Jammu&Kashmir_Brahmin
9.07448070 East_Uttar_Pradesh_Brahmin
9.25935203 Kashmiri_Pandit
9.32291800 Brahmin_Uttar_Pradesh
9.34848116 Punjabi_Jatt_Sikh
9.78547393 Saraswat_Brahmin
9.81719919 Himachal_Pradesh_Brahmin
9.86791265 Pushtikar_Brahmin
9.91781226 Kashmiri_Butt
10.02600120 Bengali_Brahmin
10.04600916 Punjabi_Jatt_Muslim
10.20747275 Punjabi_Saini
Distance: 1.9401% / 1.94009116
Target: Gautam | ADC: 0.25x RC
53.1 Bihari_Brahmin
38.3 Punjabi_Ramgarhia
3.3 Sintashta
3.1 Koryak
1.1 Altaian
1.1 Basque
Distance: 2.7497% / 2.74967907
Target: Gautam | ADC: 0.5x RC
59.3 Bihari_Brahmin
19.6 Haryana_Jatt
17.4 Punjabi_Ramgarhia
3.7 Koryak
Distance: 4.0055% / 4.00547093
Target: Gautam | ADC: 1x RC
34.8 Nepali
34.4 Bihari_Brahmin
17.3 Punjabi_Ramgarhia
13.5 Rajasthani_Brahmin
Kaazi
12-24-2020, 04:43 AM
Public Tamang samples
https://genoplot.com/genoplot16.png GenoPlot (https://genoplot.com/shared/g25/#base/Kaazi/176934351331)
SampleNE-AsianS-IndianSiberianBalochPapuanCaucasianNE-EuroAmericanSE-AsianSanSW-AsianE-AfricanPygmyBeringianW-AfricanMediterraneanTamang ► Ta6464.0512.219.972.92.712.562.361.581.240.4100000 0
Tamang ► Ta4362.8318.897.684.111.2600.4203.5601.2500000
Tamang ► Ta2462.2814.97.195.22.9600.30.944.6600.8700.060.57 0.070
Tamang ► Ta0561.7219.388.035.971.770.251.40.071.2400.170000 0
Tamang ► Ta5260.1418.516.435.9610004.1100.2800.351.8401.39
Tamang ► Ta8058.7918.279.394.472.312.670.930.692.470000000
Tamang ► Ta3956.4117.887.986.191.61.9101.023.33000.2103.460 .010
Tamang outlier ► Ta0353.1822.224.878.880.731.070.792.58500.330.160. 2000
Kaazi
12-24-2020, 04:45 AM
Public Tharu samples from Nepal
https://genoplot.com/genoplot16.png GenoPlot (https://genoplot.com/shared/g25/#base/Kaazi/1769346ed891)
SampleS-IndianBalochAmericanPygmyCaucasianNE-EuroSE-AsianSiberianPapuanBeringianMediterraneanTharu ► D25467.9232.080.010.010000000
Tharu ► D26050.9332.811.1503.176.252.890.010.372.020.4
Kaazi
12-24-2020, 04:45 AM
Public Magar samples from Nepal (The region is Palpa district as per Peterski)
https://genoplot.com/genoplot16.png GenoPlot (https://genoplot.com/shared/g25/#base/Kaazi/17693421b2d1)
SampleNE-AsianS-IndianSiberianAmericanPapuanBeringianCaucasianBalo chNE-EuroSE-AsianE-AfricanMediterraneanSW-AsianMagar ► Ma2379.5610.0881.20.740.380.04000000
Magar ► Ma1163.0415.817.950.640.761.90.152.330.766.1100.24 0.3
Magar ► Ma0762.8617.439.3801.750.0702.831.274.240.1800
Magar ► Ma3058.6318.880.642.151.4606.1103.23100
Magar ► Ma2855.120.396.842.192.081.012.466.670.592.66000
Magar ► Ma4154.1821.277.590.290.53006.960.795.901.710.77
Kaazi
12-24-2020, 05:03 AM
Public Newar samples from Nepal (The region is Bagmati Pradesh as per Peterski)
https://genoplot.com/genoplot16.png GenoPlot (https://genoplot.com/shared/g25/#base/Kaazi/176934918be1)
SampleNE-AsianS-IndianBalochSiberianCaucasianSE-AsianNE-EuroBeringianPapuanAmericanPygmyMediterraneanSW-AsianE-AfricanW-AfricanNewar ► Ne6639.7727.8914.116.254.642.351.821.41.160.620000 0
Newar ► Ne0839.4227.7615.446.431.172.423.021.450.091.0600. 820.9400
Newar ► Ne3037.9930.6315.666.1501.274.780.311.061.0900.580 .350.130
Newar ► Ne4137.8827.8615.4643.914.692.602.121.1100.36000
Newar ► Ne6135.1527.6416.997.073.085.290.100.591.3202.7700 0
Newar ► Ne7234.9833.417.633.7701.285.870.091.3700.0401.380 .020.17
Newar ► Ne3532.4736.4516.423.890.283.921.971.970001.880.74 00
Newar outlier ► Ne0123.5231.2525.354.064.361.168.9400.310.970.0900 00
Newar_outlier_Ne01 is Chhetri shifted.
[
{
"sample": "Newar outlier:Ne01",
"NE-Asian": 23.52,
"S-Indian": 31.25,
"Baloch": 25.35,
"Siberian": 4.06,
"Caucasian": 4.36,
"SE-Asian": 1.16,
"NE-Euro": 8.94,
"Beringian": 0,
"Papuan": 0.31,
"American": 0.97,
"Pygmy": 0.09,
"Mediterranean": 0,
"SW-Asian": 0,
"E-African": 0,
"W-African": 0
}
]
Oracles
Checkfit
1 nepalese-c 4.23
2 brahmin-uttaranchal 4.38
3 nepali 22.32
4 nepalese-a 23.70
5 burusho 24.92
6 bengali1 25.58
7 bengali-brahmin 25.78
8 kashmiri 26.16
9 bihari-muslim 26.35
10 bihari-brahmin 26.40
11 rajasthani-brahmin 26.42
12 up-muslim 27.02
13 pushtikar-brahmin 27.09
14 gujarati-muslim 27.24
15 punjabi 27.29
16 kashmiri-pandit 27.84
17 up-brahmin 27.92
18 kashmiri-pahari 27.98
19 singapore-indian-c 27.99
20 punjabi-saini 27.99
Mixed
1 95.4% brahmin-uttaranchal + 4.6% finnish 1.79
2 95.2% brahmin-uttaranchal + 4.8% lithuanian 1.87
3 58.4% nepalese-a + 41.6% nepalese-b 1.95
4 94.8% brahmin-uttaranchal + 5.2% russian2 2.06
5 95% brahmin-uttaranchal + 5% belorussian 2.11
6 94.6% brahmin-uttaranchal + 5.4% mordovian 2.14
7 95% brahmin-uttaranchal + 5% russian1 2.18
8 94.8% brahmin-uttaranchal + 5.2% ukranian 2.31
9 91.2% brahmin-uttaranchal + 8.8% singapore-indian-d 2.51
10 94.4% brahmin-uttaranchal + 5.6% chuvash 2.54
11 95.2% brahmin-uttaranchal + 4.8% orcadian 2.57
12 95% brahmin-uttaranchal + 5% utahn-white2 2.58
13 95% brahmin-uttaranchal + 5% n-european 2.58
14 96.2% nepalese-c + 3.8% finnish 2.64
15 95% brahmin-uttaranchal + 5% slovenian 2.65
16 95.2% brahmin-uttaranchal + 4.8% british 2.67
17 95.2% brahmin-uttaranchal + 4.8% utahn-white1 2.68
18 95% brahmin-uttaranchal + 5% hungarian 2.73
19 95% nepalese-c + 5% chuvash 2.74
20 95.8% nepalese-c + 4.2% russian2 2.84
4-way
1 nepalese-c + nepalese-c + brahmin-uttaranchal + brahmin-uttaranchal 4.02
2 nepalese-c + nepalese-c + nepalese-c + brahmin-uttaranchal 4.06
3 brahmin-uttaranchal + brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c 4.13
4 nepalese-c + nepalese-c + nepalese-c + nepalese-c 4.23
5 brahmin-uttaranchal + brahmin-uttaranchal + brahmin-uttaranchal + brahmin-uttaranchal 4.38
6 brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c + nepali 6.00
7 brahmin-uttaranchal + brahmin-uttaranchal + brahmin-uttaranchal + nepali 6.02
8 nepalese-c + nepalese-c + bihari + hazara 6.02
9 nepalese-c + nepalese-c + bengali1 + hazara 6.03
10 nepalese-c + nepalese-c + brahmin-uttaranchal + nepali 6.07
11 nepalese-c + bengali1 + hazara + brahmin-uttaranchal 6.08
12 nepalese-c + nepalese-c + caribbean-indian + hazara 6.12
13 nepalese-c + bihari + hazara + brahmin-uttaranchal 6.14
14 nepalese-c + nepalese-c + oriya + hazara 6.15
15 nepalese-c + nepalese-c + brahmin-uttaranchal + nepalese-a 6.18
16 nepalese-c + caribbean-indian + hazara + brahmin-uttaranchal 6.20
17 brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c + nepalese-a 6.21
18 brahmin-uttaranchal + brahmin-uttaranchal + bengali1 + hazara 6.23
19 nepalese-c + nepalese-c + nepalese-c + nepali 6.23
20 nepalese-c + nepalese-c + nepalese-c + nepalese-a 6.25
Vahaduo computation
Newar_outlier_Ne01,31.25,25.35,4.36,8.94,1.16,4.06 ,23.52,0.31,0.97,0.00,0.00,0.00,0.00,0.00,0.09,0.0 0
Distance to: Newar_outlier_Ne01
5.52529637 Nepali_Khas_Kshatriya
18.29864749 Nepali_Newar_Shrestha
22.32498376 Nepali
22.33602919 Nepali_Khas_Brahmin
24.76328936 Kashmiri_Butt
24.91665909 Burusho
25.04492164 Uttar_Pradesh_Muslim1
25.39234333 Himachal_Pradesh_Brahmin
25.57808046 Bengali1
25.78428591 Bengali_Brahmin
Distance: 1.9114% / 1.91135507
Target: Newar_outlier_Ne01 | ADC: 0.25x RC
93.0 Nepali_Khas_Kshatriya
7.0 Nysha
Distance: 2.6628% / 2.66280878
Target: Newar_outlier_Ne01 | ADC: 0.5x RC
78.9 Nepali_Khas_Kshatriya
21.1 Nepali_Newar_Shrestha
Kaazi
12-24-2020, 05:11 AM
Public Rai samples
https://genoplot.com/genoplot16.png GenoPlot (https://genoplot.com/shared/g25/#base/Kaazi/176935ea1ce1)
SampleNE-AsianSiberianS-IndianSE-AsianPapuanMediterraneanAmericanSanBeringianNE-EuroPygmyBalochSW-AsianW-AfricanCaucasianRai ► Rai0475.218.948.884.461.410.460.410.170.06000000
Rai ► Rai1674.688.219.695.931.1600.230000.110000
Rai ► Rai1273.678.2310.422.9901.230.8201.16000.390.3100. 77
Rai ► Rai1471.1711.110.374.411.70.35000.40.500000
Rai ► Rai0965.099.414.65.371.500.43000.8802.320.080.330
Kaazi
12-24-2020, 05:12 AM
Public Gurung samples
https://genoplot.com/genoplot16.png GenoPlot (https://genoplot.com/shared/g25/#base/Kaazi/17693604e201)
SampleNE-AsianS-IndianSiberianSE-AsianPapuanAmericanSW-AsianBalochSanE-AfricanCaucasianBeringianW-AfricanMediterraneanGurung ► Gu1870.6710.5710.354.461.991.920.030000000
Gurung ► Gu2670.3511.2710.73.81.610.3301.80.060.080000
Gurung ► Gu2264.5615.947.643.211.4601.612.840002.170.570
Gurung ► Gu2464.0416.0310.653.461.540.510.452.9000.41000
Gurung ► Gu2760.5816.288.384.381.820.8504.430000.6302.67
Kaazi
12-24-2020, 05:14 AM
Public Sherpa samples
https://genoplot.com/genoplot16.png GenoPlot (https://genoplot.com/shared/g25/#base/Kaazi/176936191111)
SampleNE-AsianS-IndianSiberianSE-AsianBeringianNE-EuroPapuanBalochAmericanSW-AsianSherpa ► Sherpa1374.4110.069.742.631.010.810.520.490.340
Sherpa ► Sherpa0473.629.4512.80.571.0202.0800.450
Sherpa ► Sherpa0973.598.8112.260.070.840.412.270.90.070.79
Sherpa ► Sherpa0871.839.4210.112.532.5702.171.3700
Kaazi
12-25-2020, 01:56 AM
Bahuns from Wang et al 2020 study.
4 (Ba15, Ba25, Ba37 & Ba48) of them are available in G25. 1 (Ba02) of them looks Gurung, 3 (Ba15, Ba25, Ba37) of them look like Chhetri and only 1 (Ba48) looks like Bahun.
Bahun:Ba02_outlier
It's exactly a full Tibeto_Burmese Gurung type Mongoloid (halfway between Nepalese B and Tibetan in oracles). Straight blunder.
https://genoplot.com/genoplot16.png GenoPlot (https://genoplot.com/shared/admix/#base/Kaazi/1768031a90e1)
Sample:Bahun outlier ► Ba02
Calculator:HarappaWorld
Results:NE-Asian64.54
S-Indian15.09
Siberian8.99
Baloch3.87
SE-Asian3.84
Papuan1.64
American1.08
NE-Euro0.54
E-African0.41
Oracles
Checkfit
1 tu 15.02
2 tibet 17.40
3 naxi 18.00
4 nepalese-b 18.94
5 xibo 19.22
6 yi 19.30
7 japanese3 19.32
8 nysha 20.17
9 mongola 21.05
10 naga 21.14
11 han-nchina 22.00
12 aonaga 22.34
13 chinese-beijing 25.01
14 chinese-beijing 25.11
15 hezhen 27.51
16 daur 28.53
17 garo 30.72
18 tujia 31.29
19 chinese-american 31.77
20 burmanese 32.97
Mixed
1 82.8% tibet + 17.2% sahariya 2.85
2 82.6% tibet + 17.4% satnami 3.08
3 83% tibet + 17% gond 3.17
4 82.4% tibet + 17.6% tharu2 3.52
5 52.8% nepalese-b + 47.2% naga 3.72
6 80.8% tibet + 19.2% bengali1 3.79
7 79.6% tibet + 20.4% great-andamanese 3.80
8 83.6% tibet + 16.4% mawasi 3.84
9 83.8% tibet + 16.2% asur 3.85
10 83.6% tibet + 16.4% nihali 3.87
11 52.2% tibet + 47.8% nepalese-b 3.95
12 83.8% tibet + 16.2% santhal2 4.06
13 83.2% tibet + 16.8% chenchu2 4.08
14 82.6% tibet + 17.4% chenchu1 4.10
15 83.4% tibet + 16.6% bhil 4.10
16 83.6% tibet + 16.4% sakilli 4.13
17 83.6% tibet + 16.4% madiga 4.14
18 83.2% tibet + 16.8% kamsali 4.14
19 83.8% tibet + 16.2% ap-mala 4.15
20 82.6% tibet + 17.4% south-african-indian 4.17
2-way
1 50% nepalese-b + 50% naga 3.88
2 50% tibet + 50% nepalese-b 4.03
3 50% nepalese-b + 50% japanese3 4.21
4 50% nepalese-b + 50% nysha 4.52
5 50% nepalese-b + 50% aonaga 4.75
6 50% tu + 50% nepalese-b 4.82
7 50% nepalese-b + 50% han-nchina 5.30
8 50% naxi + 50% nepalese-b 5.98
9 50% nepalese-b + 50% yi 6.69
10 50% nepalese-b + 50% chinese-beijing 8.11
11 50% nepalese-b + 50% xibo 8.59
12 50% nysha + 50% garo 10.51
13 50% nepalese-b + 50% japanese4 10.61
14 50% nepalese-b + 50% mongola 10.62
15 50% tibet + 50% garo 10.84
16 50% nysha + 50% burmanese 11.32
17 50% aonaga + 50% garo 11.32
18 50% tibet + 50% burmanese 11.90
19 50% naga + 50% garo 12.00
20 50% aonaga + 50% burmanese 12.07
4-way
1 nepalese-b + nepalese-b + japanese3 + nysha 2.33
2 nepalese-b + nepalese-b + japanese3 + naga 2.48
3 nepalese-b + nepalese-b + japanese3 + aonaga 2.50
4 nepalese-b + nepalese-b + tibet + japanese3 2.61
5 nepalese-b + nepalese-b + naxi + nysha 2.93
6 nepalese-b + nepalese-b + tibet + han-nchina 2.94
7 nepalese-b + nepalese-b + tibet + naxi 3.00
8 nepalese-b + nepalese-b + naxi + aonaga 3.13
9 nepalese-b + nepalese-b + tibet + yi 3.17
10 nepalese-b + nepalese-b + yi + nysha 3.17
11 nepalese-b + nepalese-b + tu + naga 3.18
12 nepalese-b + nepalese-b + naxi + naga 3.21
13 nepalese-b + nepalese-b + tu + aonaga 3.27
14 nepalese-b + nepalese-b + nysha + han-nchina 3.31
15 nepalese-b + nepalese-b + tu + nysha 3.35
16 nepalese-b + nepalese-b + yi + aonaga 3.44
17 nepalese-b + nepalese-b + mongola + japanese4 3.49
18 nepalese-b + nepalese-b + yi + naga 3.54
19 nepalese-b + nepalese-b + xibo + aonaga 3.56
20 nepalese-b + nepalese-b + tibet + naga 3.56
Vahaduo Harappaworld calculation:
Distance to: Bahun_outlier:Ba02
2.38966525 Nepali_Gurung
11.53297013 Nepali_Kirant_Rai
15.01559523 Tu
17.39835624 Tibetan
17.99643576 Naxi
19.21566548 Xibo
19.29880307 Yi
19.31872149 Japanese3
20.17407743 Nysha
21.04902373 Mongola
Distance: 1.1727% / 1.17273735
Target: Bahun_outlier:Ba02 | ADC: 0.25x RC
73.8 Nepali_Gurung
21.6 Nysha
4.6 Chamar
Distance: 2.1422% / 2.14218049
Target: Bahun_outlier:Ba02 | ADC: 0.5x RC
95.0 Nepali_Gurung
5.0 Nysha
Bahun:Ba15
This result looks within Chhetri range. Nepalese-c is Tibetid shifted from average Chhetris. At max, this one shows Bahun like admix @ 20% Nepali, which itself is based on 2/3rd Bahun, 1/3rd Chhetri again.
https://genoplot.com/genoplot16.png GenoPlot (https://genoplot.com/shared/admix/#base/Kaazi/1768031a90e1)
Sample:Bahun ► Ba15
Calculator:HarappaWorld
Results:S-Indian30.71
Baloch28.98
NE-Asian15.88
NE-Euro8.49
Caucasian4.48
SW-Asian3.06
Beringian2.09
American2.07
SE-Asian1.74
Siberian1.31
Papuan0.64
Mediterranean0.55
Oracles
Checkfit:
1 nepalese-c 10.29
2 brahmin-uttaranchal 11.19
3 nepali 14.49
4 nepalese-a 16.23
5 up-muslim 16.95
6 burusho 18.34
7 kashmiri 18.58
8 rajasthani-brahmin 18.80
9 bengali-brahmin 18.87
10 bihari-brahmin 18.92
Mixed Mode
1 68.4% nepalese-c + 31.6% punjabi-jatt-sikh 4.17
2 69.2% nepalese-c + 30.8% haryana-jatt 4.26
3 59.8% nepalese-c + 40.2% nepali 4.54
4 72.6% nepalese-a + 27.4% nepalese-b 4.62
5 62.8% nepalese-c + 37.2% nepalese-a 4.62
6 66.6% nepalese-c + 33.4% rajasthani-brahmin 4.65
7 67.8% nepalese-c + 32.2% punjabi-jatt-muslim 4.81
8 84.4% up-muslim + 15.6% japanese4 4.83
9 84.8% up-muslim + 15.2% japanese2 4.83
10 84.8% up-muslim + 15.2% japanese1 4.83
11 67.2% nepalese-c + 32.8% punjabi 4.92
12 68.2% nepalese-c + 31.8% singapore-indian-c 4.93
13 82.4% up-muslim + 17.6% naga 4.93
14 82.6% up-muslim + 17.4% aonaga 4.93
15 69.8% nepalese-c + 30.2% punjabi-khatri 4.96
16 81.8% up-muslim + 18.2% han-nchina 4.99
17 69% nepalese-c + 31% punjabi-brahmin 5.03
18 82.4% up-muslim + 17.6% nysha 5.03
19 80.4% up-muslim + 19.6% tu 5.08
20 67.6% nepalese-c + 32.4% pushtikar-brahmin 5.08
2-way
1 50% nepalese-c + 50% nepali 5.07
2 50% brahmin-uttaranchal + 50% nepali 5.54
3 50% nepalese-c + 50% nepalese-a 5.61
4 50% nepalese-c + 50% up-muslim 6.28
5 50% brahmin-uttaranchal + 50% nepalese-a 6.42
6 50% nepalese-c + 50% rajasthani-brahmin 6.49
7 50% brahmin-uttaranchal + 50% up-muslim 6.71
8 50% nepalese-c + 50% punjabi 6.82
9 50% nepalese-c + 50% punjabi-jatt-sikh 6.88
10 50% brahmin-uttaranchal + 50% rajasthani-brahmin 6.95
11 50% nepalese-c + 50% punjabi-jatt-muslim 6.96
12 50% nepalese-c + 50% pushtikar-brahmin 7.05
13 50% nepalese-c + 50% singapore-indian-c 7.13
14 50% nepalese-c + 50% kashmiri 7.17
15 50% nepalese-c + 50% haryana-jatt 7.19
16 50% nepalese-c + 50% bihari-brahmin 7.34
17 50% nepalese-c + 50% burusho 7.35
18 50% brahmin-uttaranchal + 50% punjabi-jatt-sikh 7.39
19 50% brahmin-uttaranchal + 50% punjabi-jatt-muslim 7.40
20 50% brahmin-uttaranchal + 50% punjabi 7.41
4-way
1 nepalese-c + nepalese-c + nepalese-c + punjabi-jatt-sikh 4.61
2 nepalese-c + nepalese-c + nepalese-c + haryana-jatt 4.62
3 nepalese-c + nepalese-c + brahmin-uttaranchal + haryana-jatt 4.87
4 nepalese-c + nepalese-c + brahmin-uttaranchal + punjabi-jatt-sikh 4.93
5 nepalese-c + nepalese-c + nepali + nepali5.07
6 nepalese-c + nepalese-c + nepali + nepalese-a5.09
7 nepalese-c + nepalese-c + nepalese-c + bhatia 5.20
8 nepalese-c + nepalese-c + nepalese-c + punjabi-khatri 5.20
9 nepalese-c + nepalese-c + burusho + bengali-brahmin 5.20
10 nepalese-c + nepalese-c + nepalese-c + rajasthani-brahmin 5.20
11 brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c + haryana-jatt 5.21
12 nepalese-c + nepalese-c + nepalese-c + punjabi-jatt-muslim 5.22
13 nepali + nepali + nepalese-c + brahmin-uttaranchal 5.25
14 nepalese-c + nepalese-c + nepalese-c + singapore-indian-c 5.30
15 nepalese-c + nepalese-c + nepalese-c + sindhi1 5.33
16 nepalese-c + nepalese-c + nepalese-c + punjabi-brahmin 5.33
17 nepalese-c + nepalese-c + burusho + bengali1 5.33
18 nepalese-c + nepalese-c + nepalese-c + punjabi-arain 5.34
19 brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c + punjabi-jatt-sikh 5.35
20 nepalese-c + nepalese-c + nepalese-c + sindhi2 5.35
Vahaduo Harappaworld calculation:
Distance to: Bahun:Ba15
5.83360952 Nepali_Khas_Kshatriya
14.48961007 Nepali
14.80312467 Nepali_Khas_Brahmin
16.94724756 Uttar_Pradesh_Muslim1
17.34600242 Kashmiri_Butt
17.99760540 Himachal_Pradesh_Brahmin
18.06263270 Saraswat_Brahmin
18.33712627 Burusho
18.42345245 Jammu&Kashmir_Brahmin
18.58001884 Kashmiri
Distance: 2.7722% / 2.77215941
Target: Bahun:Ba15 | ADC: 0.25x RC
75.0 Nepali_Khas_Kshatriya
10.0 Burusho
9.3 Kerala_Brahmin
3.0 Qatari
1.9 West_Greenlander
0.8 Totonac
Distance: 4.0691% / 4.06910749
Target: Bahun:Ba15 | ADC: 0.5x RC
82.4 Nepali_Khas_Kshatriya
14.4 Punjabi_Jatt_Sikh
3.2 Burusho
Distance: 4.5713% / 4.57132086
Target: Bahun:Ba15 | ADC: 1x RC
79.1 Nepali_Khas_Kshatriya
20.9 Nepali
Bahun:Ba25
This one looks full Chhetri. It's modelled as 94% Chhetri like + 6% adygei like or Chhetri + 15% Bene_Israel_Jew.
https://genoplot.com/genoplot16.png GenoPlot (https://genoplot.com/shared/admix/#base/Kaazi/1768031a90e1)
Sample:Bahun ► Ba25
Calculator:HarappaWorld
Results:S-Indian31.94
Baloch24.8
NE-Asian20.76
Caucasian8.79
NE-Euro6.42
Siberian2.78
Papuan1.98
SE-Asian1.27
American1.16
SW-Asian0.11
Oracles
Checkfit
1 nepalese-c 5.21
2 brahmin-uttaranchal 6.17
3 nepali 20.04
4 up-muslim 21.95
5 nepalese-a 22.53
6 kashmiri 22.89
7 burusho 23.16
8 gujarati-muslim 23.58
9 bengali1 23.62
10 bengali-brahmin 23.87
11 bihari-muslim 23.96
12 pushtikar-brahmin 24.22
13 punjabi 24.59
14 rajasthani-brahmin 24.62
15 bihari-brahmin 24.73
16 punjabi-saini 24.78
17 kashmiri-pandit 25.04
18 punjabi-jatt-muslim 25.07
19 kashmiri-pahari 25.58
20 singapore-indian-c 25.76
Mixed Mode:
1 93.6% nepalese-c + 6.4% adygei 3.03
2 93.2% nepalese-c + 6.8% chechen 3.06
3 94.4% nepalese-c + 5.6% abhkasian 3.07
4 94.6% nepalese-c + 5.4% georgian1 3.10
5 93.6% nepalese-c + 6.4% balkar 3.12
6 93% nepalese-c + 7% lezgin 3.16
7 93% nepalese-c + 7% urkarah 3.19
8 94.2% nepalese-c + 5.8% georgian2 3.19
9 93% nepalese-c + 7% kumyk 3.22
10 92.8% nepalese-c + 7.2% north-ossetian 3.26
11 92.8% nepalese-c + 7.2% stalskoe 3.28
12 87.4% nepalese-c + 12.6% pashtun 3.29
13 87.2% nepalese-c + 12.8% pashtun-yusufzai 3.30
14 88% nepalese-c + 12% pashtun-n-afghanistan 3.30
15 89% nepalese-c + 11% pashtun-kandahar 3.30
16 87.4% nepalese-c + 12.6% iraq-domari 3.33
17 90.4% nepalese-c + 9.6% qizilbash1 3.34
18 89.8% nepalese-c + 10.2% parsi 3.34
19 88.8% nepalese-c + 11.2% tajik-panjshir 3.35
20 91.8% nepalese-c + 8.2% iranian-kerman 3.35
2-way
1 50% nepalese-c + 50% nepalese-c 5.21
2 50% nepalese-c + 50% brahmin-uttaranchal 5.50
3 50% brahmin-uttaranchal + 50% brahmin-uttaranchal 6.17
4 50% nepalese-c + 50% nepali 9.07
5 50% brahmin-uttaranchal + 50% nepali 9.11
6 50% nepalese-c + 50% up-muslim 9.87
7 50% brahmin-uttaranchal + 50% up-muslim 9.94
8 50% nepalese-c + 50% kashmiri 10.07
9 50% brahmin-uttaranchal + 50% kashmiri 10.25
10 50% nepalese-c + 50% gujarati-muslim 10.58
11 50% brahmin-uttaranchal + 50% gujarati-muslim 10.64
12 50% nepalese-c + 50% nepalese-a 10.68
13 50% nepalese-c + 50% burusho 10.71
14 50% nepalese-c + 50% pushtikar-brahmin 10.74
15 50% brahmin-uttaranchal + 50% pushtikar-brahmin 10.92
16 50% brahmin-uttaranchal + 50% nepalese-a 10.94
17 50% brahmin-uttaranchal + 50% burusho 11.04
18 50% nepalese-c + 50% punjabi-saini 11.17
19 50% nepalese-c + 50% punjabi 11.26
20 50% nepalese-c + 50% punjabi-jatt-muslim 11.33
4-way
1 nepalese-c + nepalese-c + nepalese-c + kashmiri 4.56
2 nepalese-c + nepalese-c + nepalese-c + nepali 4.65
3 nepalese-c + nepalese-c + brahmin-uttaranchal + kashmiri 4.68
4 nepalese-c + nepalese-c + brahmin-uttaranchal + nepali 4.69
5 nepalese-c + nepalese-c + nepalese-c + up-muslim 4.80
6 nepalese-c + nepalese-c + nepalese-c + pushtikar-brahmin 4.84
7 nepalese-c + nepalese-c + brahmin-uttaranchal + up-muslim 4.86
8 brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c + nepali 4.86
9 nepalese-c + nepalese-c + brahmin-uttaranchal + bene-israel-jew 4.87
10 brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c + bene-israel-jew 4.88
11 brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c + kashmiri 4.91
12 nepalese-c + nepalese-c + brahmin-uttaranchal + pushtikar-brahmin 4.96
13 nepalese-c + nepalese-c + nepalese-c + gujarati-muslim 4.97
14 nepalese-c + nepalese-c + nepalese-c + bene-israel-jew 4.98
15 brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c + iraq-domari 5.00
16 brahmin-uttaranchal + brahmin-uttaranchal + brahmin-uttaranchal + bene-israel-jew 5.00
17 nepalese-c + nepalese-c + brahmin-uttaranchal + gujarati-muslim 5.02
18 brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c + up-muslim 5.03
19 nepalese-c + nepalese-c + nepalese-c + kamboj 5.04
20 nepalese-c + nepalese-c + brahmin-uttaranchal + iraq-domari 5.04
Vahaduo Harappaworld calculation:
Distance to: Bahun:Ba25
5.42307109 Nepali_Khas_Kshatriya
20.03985778 Nepali
20.29493533 Nepali_Khas_Brahmin
21.46795519 Kashmiri_Butt
21.95348492 Uttar_Pradesh_Muslim1
22.26519032 Himachal_Pradesh_Brahmin
22.89243106 Kashmiri
23.16215664 Burusho
23.20936664 Jammu&Kashmir_Brahmin
23.36948010 Saraswat_Brahmin
Distance: 2.7166% / 2.71660813
Target: Bahun:Ba25 | ADC: 0.25x RC
75.0 Nepali_Khas_Kshatriya
8.2 Tajik_Shia&Qizilbash
6.3 Bene_Israel_Jew
6.3 Japanese4
4.2 Irula
Distance: 3.0071% / 3.00713030
Target: Bahun:Ba25 | ADC: 0.25x RC
77.0 Nepali_Khas_Kshatriya
16.9 Bene_Israel_Jew
5.8 Japanese2
0.3 Aonaga
Distance: 3.2542% / 3.25417352
Target: Bahun:Ba25 | ADC: 0.5x RC
75.0 Nepali_Khas_Kshatriya
15.6 Bene_Israel_Jew
9.4 Nepali_Gurung
Bahun:Ba37
This one also looks full Chhetri. It's modelled as 96% Chhetri like + 4% Georgian like or Chhetri + 15% Bene_Israel_Jew.
https://genoplot.com/genoplot16.png GenoPlot (https://genoplot.com/shared/admix/#base/Kaazi/1768031a90e1)
Sample:Bahun ► Ba37
Calculator:HarappaWorld
Results:S-Indian32.13
Baloch26.25
NE-Asian22.53
Caucasian7.95
NE-Euro5.15
Siberian2.82
Mediterranean1.31
Beringian1.22
SE-Asian0.42
Papuan0.22
Oracles
Checkfit
1 nepalese-c 3.56
2 brahmin-uttaranchal 4.43
3 nepali 21.22
4 up-muslim 23.10
5 nepalese-a 23.34
6 burusho 23.69
7 kashmiri 23.98
8 bengali1 24.49
9 gujarati-muslim 24.51
10 bihari-muslim 24.83
Mixed Mode:
1 96.6% nepalese-c + 3.4% georgian1 2.29
2 96.4% nepalese-c + 3.6% abhkasian 2.29
3 96.2% nepalese-c + 3.8% georgian2 2.35
4 93.2% nepalese-c + 6.8% parsi 2.36
5 92.6% nepalese-c + 7.4% kalash 2.40
6 92.8% nepalese-c + 7.2% tajik-panjshir 2.41
7 93.8% nepalese-c + 6.2% qizilbash1 2.42
8 91.8% nepalese-c + 8.2% pashtun-yusufzai 2.42
9 92.8% nepalese-c + 7.2% pashtun-kandahar 2.42
10 94.8% nepalese-c + 5.2% iranian-kerman2.44
11 95% nepalese-c + 5% iranian2 2.44
12 95.6% nepalese-c + 4.4% kurd3 2.46
13 91.6% nepalese-c + 8.4% gawar 2.47
14 93.8% nepalese-c + 6.2% baloch-iran 2.47
15 92.8% nepalese-c + 7.2% nuristani 2.48
16 91.6% nepalese-c + 8.4% kamboj 2.48
17 96.2% nepalese-c + 3.8% armenian 2.48
18 96.2% nepalese-c + 3.8% adygei 2.48
19 95.8% nepalese-c + 4.2% lezgin 2.49
20 95.6% nepalese-c + 4.4% kurd2 2.49
2-way:
1 50% nepalese-c + 50% nepalese-c 3.56
2 50% nepalese-c + 50% brahmin-uttaranchal 3.72
3 50% brahmin-uttaranchal + 50% brahmin-uttaranchal 4.43
4 50% brahmin-uttaranchal + 50% nepali 9.90
5 50% nepalese-c + 50% nepali 9.96
6 50% brahmin-uttaranchal + 50% up-muslim 10.75
7 50% nepalese-c + 50% up-muslim 10.78
8 50% nepalese-c + 50% kashmiri 10.94
9 50% nepalese-c + 50% burusho 10.95
10 50% brahmin-uttaranchal + 50% kashmiri 11.01
11 50% brahmin-uttaranchal + 50% burusho 11.19
12 50% nepalese-c + 50% nepalese-a 11.20
13 50% brahmin-uttaranchal + 50% gujarati-muslim 11.24
14 50% nepalese-c + 50% gujarati-muslim 11.27
15 50% brahmin-uttaranchal + 50% nepalese-a 11.36
16 50% nepalese-c + 50% punjabi11.85
17 50% nepalese-c + 50% pushtikar-brahmin 11.86
18 50% nepalese-c + 50% punjabi-saini 11.87
19 50% brahmin-uttaranchal + 50% pushtikar-brahmin 11.93
20 50% brahmin-uttaranchal + 50% punjabi 11.94
4-way
1 nepalese-c + nepalese-c + nepalese-c + nepalese-c 3.56
2 nepalese-c + nepalese-c + nepalese-c + brahmin-uttaranchal 3.56
3 nepalese-c + nepalese-c + brahmin-uttaranchal + brahmin-uttaranchal 3.72
4 brahmin-uttaranchal + brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c4.02
5 brahmin-uttaranchal + brahmin-uttaranchal + brahmin-uttaranchal + brahmin-uttaranchal4.43
6 nepalese-c + nepalese-c + brahmin-uttaranchal + nepali 4.72
7 nepalese-c + nepalese-c + nepalese-c + kashmiri4.76
8 nepalese-c + nepalese-c + brahmin-uttaranchal + kashmiri4.77
9 brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c + nepali4.78
10 nepalese-c + nepalese-c + nepalese-c + nepali 4.79
11 brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c + kashmiri4.90
12 nepalese-c + nepalese-c + brahmin-uttaranchal + gujarati-muslim 4.95
13 nepalese-c + nepalese-c + nepalese-c + burusho 4.95
14 brahmin-uttaranchal + brahmin-uttaranchal + brahmin-uttaranchal + nepali 4.96
15 nepalese-c + nepalese-c + brahmin-uttaranchal + up-muslim 4.97
16 nepalese-c + nepalese-c + nepalese-c + gujarati-muslim 5.00
17 nepalese-c + nepalese-c + nepalese-c + up-muslim 5.01
18 brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c + gujarati-muslim 5.02
19 brahmin-uttaranchal + brahmin-uttaranchal + nepalese-c + up-muslim 5.04
20 nepalese-c + nepalese-c + brahmin-uttaranchal + burusho 5.06
Vahaduo Harappaworld calculation:
Distance to: Bahun:Ba37
6.05410604 Nepali_Khas_Kshatriya
21.21781327 Nepali
21.50605264 Nepali_Khas_Brahmin
22.34347780 Kashmiri_Butt
23.10447143 Uttar_Pradesh_Muslim1
23.60993011 Himachal_Pradesh_Brahmin
23.69321844 Burusho
23.98083193 Kashmiri
24.25811205 Jammu&Kashmir_Brahmin
24.33116726 Saraswat_Brahmin
Distance: 3.3885% / 3.38852932
Target: Bahun:Ba37 | ADC: 0.25x RC
78.4 Nepali_Khas_Kshatriya
14.6 Bene_Israel_Jew
7.0 Japanese2
Distance: 4.7394% / 4.73940534
Target: Bahun:Ba37 | ADC: 0.5x RC
94.9 Nepali_Khas_Kshatriya
5.1 Nysha
Bahun:Ba48
Only this one out of the 5 Bahun labelled samples, looks like a proper Bahun.
https://genoplot.com/genoplot16.png GenoPlot (https://genoplot.com/shared/admix/#base/Kaazi/1768031a90e1)
Sample:Bahun ► Ba48
Calculator:HarappaWorld
Results:Baloch34.86
S-Indian33.96
NE-Euro11.27
Caucasian8.92
NE-Asian5.71
Mediterranean2.17
Beringian1.34
SE-Asian0.92
American0.85
Oracles
Checkfit
1 nepali 4.41
2 nepalese-a 5.74
3 rajasthani-brahmin 6.19
4 up-muslim 6.36
5 singapore-indian-c 7.72
6 punjabi7.75
7 punjabi-brahmin 7.83
8 kashmiri-pandit 8.14
9 bihari-brahmin 8.34
10 punjabi-saini 8.42
11 pushtikar-brahmin 8.44
12 kashmiri-pahari 8.51
13 kashmiri 8.54
14 up-brahmin 8.86
15 punjabi-ramgarhia 8.95
16 punjabi-jatt-muslim 9.14
17 gujarati-muslim 10.09
18 punjabi-jatt-sikh 10.15
19 bengali-brahmin 10.34
20 punjabi-khatri 10.61
Mixed Mode:
1 79.8% rajasthani-brahmin + 20.2% nepalese-c 2.79
2 80.4% rajasthani-brahmin + 19.6% brahmin-uttaranchal 2.99
3 91.4% rajasthani-brahmin + 8.6% nepalese-b 3.59
4 76% nepali + 24% bihari-brahmin 3.72
5 65.6% nepali + 34.4% nepalese-a 3.78
6 77.2% nepali + 22.8% kashmiri-pahari 3.79
7 92.6% rajasthani-brahmin + 7.4% garo 3.79
8 87% nepali + 13% brahmin-tamil-nadu 3.79
9 69% nepali + 31% rajasthani-brahmin 3.82
10 88.6% nepali + 11.4% goan 3.83
11 85.8% nepali + 14.2% gujarati-b 3.84
12 75.8% nepali + 24.2% singapore-indian-c 3.85
13 87.2% nepali + 12.8% gujarati 3.85
14 86.8% nepali + 13.2% kerala-brahmin 3.87
15 89.4% nepali + 10.6% kerala-nair 3.88
16 83% nepalese-a + 17% bene-israel-jew 3.88
17 91.4% nepali + 8.6% kurmi 3.89
18 76.6% singapore-indian-c + 23.4% nepalese-c 3.90
19 77% nepali + 23% punjabi-brahmin 3.91
20 89% nepali + 11% iyer-brahmin 3.92
2-way
1 50% nepali + 50% nepalese-a 3.92
2 50% nepali + 50% rajasthani-brahmin 4.05
3 50% bengali-brahmin + 50% burusho 4.13
4 50% nepalese-a + 50% up-muslim 4.25
5 50% nepali + 50% nepali 4.41
6 50% nepali + 50% singapore-indian-c 4.48
7 50% bihari-muslim + 50% burusho 4.49
8 50% rajasthani-brahmin + 50% up-muslim4.50
9 50% nepali + 50% bihari-brahmin 4.51
10 50% nepali + 50% punjabi-brahmin 4.58
11 50% nepali + 50% kashmiri-pahari 4.65
12 50% vaish + 50% burusho 4.65
13 50% nepali + 50% up-muslim 4.66
14 50% nepali + 50% punjabi 4.82
15 50% nepalese-a + 50% kashmiri 4.83
16 50% brahmin-uttar-pradesh + 50% burusho 4.85
17 50% bihari-brahmin + 50% kashmiri 4.93
18 50 % nepali + 50% punjabi-saini 4.94
19 50% nepali + 50% up-brahmin 4.95
20 50% nepali + 50% kashmiri-pandit 4.96
4-way
1 nepali + burusho + bihari + rajasthani-brahmin 3.14
2 nepali + bihari-muslim + burusho + rajasthani-brahmin 3.32
3 nepali + nepali + vaish + burusho 3.37
4 nepali + bengali-brahmin + burusho + rajasthani-brahmin 3.46
5 nepali + nepali + burusho + bihari 3.46
6 nepali + burusho + up + rajasthani-brahmin 3.47
7 nepali + nepali + bihari-muslim + burusho 3.49
8 nepali + nepali + bengali-brahmin + burusho 3.51
9 nepali + nepali + brahmin-uttar-pradesh + burusho 3.52
10 nepali + nepali + burusho + karnataka-brahmin 3.53
11 nepali + nepali + bihari-brahmin + kashmiri 3.54
12 nepali + burusho + karnataka-brahmin + rajasthani-brahmin 3.55
13 haryana-jatt + burusho + bihari + nepali 3.56
14 nepali + kashmiri + bengali-brahmin + rajasthani-brahmin 3.58
15 bihari-brahmin + bengali-brahmin + burusho + nepali 3.58
16 nepali + nepali + rajasthani-brahmin + bihari-brahmin 3.58
17 nepali + bihari-muslim + burusho + nepalese-a 3.59
18 nepali + burusho + kerala + rajasthani-brahmin 3.59
19 nepali + nepali + burusho + up-kshatriya 3.61
20 nepali + vaish + burusho + rajasthani-brahmin 3.62
Vahaduo Harappaworld calculation:
Distance to: Bahun:Ba48
3.12379577 Nepali_Khas_Brahmin
4.40604131 Nepali
5.71246007 Jammu&Kashmir_Brahmin
6.13049753 Kashmiri_Butt
6.18836812 Rajasthani_Brahmin
6.36256238 Uttar_Pradesh_Muslim1
6.77219315 Bhumihar_Brahmin
6.82923861 Punjabi_Tarkhan
7.31030095 Saraswat_Brahmin
7.31874306 Himachal_Pradesh_Brahmin
Distance: 1.1131% / 1.11310283
Target: Bahun:Ba48 | ADC: 0.25x RC
30.3 Rajasthani_Brahmin
26.5 Kashmiri_Butt
25.2 Nepali_Khas_Brahmin
14.6 Bihari_Brahmin
2.0 She
1.4 Japanese2
Distance: 1.4374% / 1.43742493
Target: Bahun:Ba48 | ADC: 0.5x RC
40.6 Rajasthani_Brahmin
26.5 Kashmiri_Butt
16.6 Nepali_Khas_Kshatriya
9.3 Nepali_Khas_Brahmin
7.0 Nepali
Distance: 2.5985% / 2.59849606
Target: Bahun:Ba48 | ADC: 1x RC
76.2 Nepali_Khas_Brahmin
23.8 Kashmiri_Butt
SampleNE-AsianS-IndianSiberianBalochSE-AsianPapuanAmericanNE-EuroE-AfricanCaucasianBeringianMediterraneanSW-AsianBahun outlier ► Ba0264.5415.098.993.873.841.641.080.540.410000
Bahun ► Ba3722.5332.132.8226.250.420.2205.1507.951.221.310
Bahun ► Ba2520.7631.942.7824.81.271.981.166.4208.79000.11
Bahun ► Ba1515.8830.711.3128.981.740.642.078.4904.482.090. 553.06
Bahun ► Ba485.7133.96034.860.9200.8511.2708.921.342.170
Kaazi
12-25-2020, 02:33 AM
Nepali ancient proto-Tibetan samples
https://genoplot.com/genoplot16.png GenoPlot (https://genoplot.com/shared/g25/#base/Kaazi/17697f454ea1)
SampleNE-AsianSiberianS-IndianSE-AsianSW-AsianE-AfricanPapuanBeringianPygmyW-AfricanAmericanCaucasianNE-EuroSanBalochMediterraneanNepal Samzdong 1500BP ► S35.SG74.769.488.072.731.551.070.730.620.50.250.24 00000
Nepal Mebrak 2125BP ► M344.SG72.876.069.440.09006.73001.142.271.40000
Nepal Mebrak 2125BP ► M240.SG71.2710.3402.252.48000.750.294.2201.15002.5 54.7
Nepal Chokhopani 2700BP ► C1.SG70.969.5410.373.79001.14002.150.0700.8900.60. 48
Nepal Mebrak 2125BP ► M63.SG70.1610.448.014.820.0301.411.2701.970.4100.6 300.840
Nepal Samdzong 1500BP ► S10.SG68.9112.599.663.97000.910.3500.890.28000.121 .111.22
Nepal Samdzong 1500BP ► S40.SG67.1311.0210.413.7004.560.420.650001.120.990 0
Nepal Samzdong 1500BP ► S41.SG65.510.718.23.551.751.151.670.8900.121.450.9 8202.020
Kaazi
12-31-2020, 01:40 PM
Pathak - Kumai Bahun. Matches another Kumai Bahun. Lower Baloch and higher NE-Euro.
Admix Results (sorted):
# Population Percent
1 S-Indian 33.99
2 Baloch 31.39
3 NE-Euro 13.75
4 Caucasian 7.73
5 NE-Asian 6.02
6 Siberian 2.53
7 Beringian 1.85
8 Mediterranean 1.39
9 SE-Asian 0.66
10 Papuan 0.56
11 SW-Asian 0.12
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 6.57
2 up-muslim (harappa) 8.12
3 up-brahmin (harappa) 9.59
4 bengali-brahmin (harappa) 9.83
5 punjabi (harappa) 10.37
6 punjabi-brahmin (harappa) 10.56
7 kashmiri (harappa) 10.62
8 singapore-indian-c (sgvp) 10.66
9 kashmiri-pandit (reich) 10.69
10 brahmin-uttar-pradesh (metspalu) 10.84
11 punjabi-jatt-muslim (harappa) 11.24
12 haryana-jatt (harappa) 11.32
13 bihari-muslim (harappa) 11.33
14 punjabi-ramgarhia (harappa) 11.57
15 punjabi-jatt-sikh (harappa) 11.57
16 kashmiri-pahari (harappa) 11.66
17 punjabi-khatri (harappa) 12.27
18 gujarati-muslim (harappa) 12.28
19 vaish (reich) 12.58
20 up-kshatriya (metspalu) 13.99
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 78.8% brahmin-uttar-pradesh (metspalu) + 21.2% uyghur (hgdp) @ 2.9
2 81% up-brahmin (harappa) + 19% uyghur (hgdp) @ 2.93
3 77.5% brahmin-uttar-pradesh (metspalu) + 22.5% uzbek (behar) @ 3.08
4 80.1% up-brahmin (harappa) + 19.9% uzbek (behar) @ 3.58
5 78.7% brahmin-uttar-pradesh (metspalu) + 21.3% hazara (hgdp) @ 3.76
6 81% up-brahmin (harappa) + 19% hazara (hgdp) @ 3.83
7 84.5% up-brahmin (harappa) + 15.5% kazakh (harappa) @ 3.87
8 85.5% up-brahmin (harappa) + 14.5% kyrgyz (hodoglugil) @ 3.94
9 75% vaish (reich) + 25% uzbek (behar) @ 4.04
10 80.1% bengali-brahmin (harappa) + 19.9% uzbek (behar) @ 4.24
11 89.5% up-brahmin (harappa) + 10.5% xibo (hgdp) @ 4.31
12 89.2% up-brahmin (harappa) + 10.8% mongola (hgdp) @ 4.34
13 76.7% vaish (reich) + 23.3% uyghur (hgdp) @ 4.41
14 82.8% brahmin-uttar-pradesh (metspalu) + 17.2% kazakh (harappa) @ 4.42
15 75.9% bengali-brahmin (harappa) + 24.1% tajik (yunusbayev) @ 4.48
16 89.6% up-brahmin (harappa) + 10.4% daur (hgdp) @ 4.55
17 89.6% up-brahmin (harappa) + 10.4% hezhen (hgdp) @ 4.56
18 83.6% brahmin-uttar-pradesh (metspalu) + 16.4% kyrgyz (xing) @ 4.6
19 81.7% bengali-brahmin (harappa) + 18.3% uyghur (hgdp) @ 4.6
20 84% brahmin-uttar-pradesh (metspalu) + 16% kyrgyz (hodoglugil) @ 4.62
4-oracles
Admix Results (sorted):
# Population Percent
1 S-Indian 33.99
2 Baloch 31.39
3 NE-Euro 13.75
4 Caucasian 7.73
5 NE-Asian 6.02
6 Siberian 2.53
7 Beringian 1.85
8 Mediterranean 1.39
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepali_harappa @ 5.198087
2 nepalese-a_xing @ 7.166105
3 rajasthani-brahmin_harappa @ 8.534562
4 up-muslim_harappa @ 8.803131
5 pushtikar-brahmin_harappa @ 10.408777
6 up-brahmin_harappa @ 10.444345
7 bihari-brahmin_harappa @ 10.596484
8 bengali-brahmin_harappa @ 10.748790
9 punjabi_harappa @ 11.327436
10 punjabi-brahmin_harappa @ 11.499658
11 singapore-indian-c_sgvp @ 11.628830
12 kashmiri_harappa @ 11.674507
13 kashmiri-pandit_reich @ 11.705649
14 brahmin-uttar-pradesh_metspalu @ 11.825355
15 punjabi-jatt-muslim_harappa @ 12.249531
16 haryana-jatt_harappa @ 12.307117
17 bihari-muslim_harappa @ 12.429977
18 punjabi-jatt-sikh_harappa @ 12.626357
19 punjabi-ramgarhia_harappa @ 12.648858
20 kashmiri-pahari_harappa @ 12.763898
Using 2 populations approximation:
1 50% nepali_harappa +50% nepali_harappa @ 5.198087
Using 3 populations approximation:
1 50% burusho_hgdp +25% piramalai-kallar_metspalu +25% singapore-indian-d_sgvp @ 2.514851
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++
1 burusho_hgdp + burusho_hgdp + piramalai-kallar_metspalu + singapore-indian-d_sgvp @ 2.514851
2 burusho_hgdp + burusho_hgdp + singapore-indian-a_sgvp + singapore-indian-d_sgvp @ 2.527650
3 burusho_hgdp + burusho_hgdp + kurumba_metspalu + singapore-indian-d_sgvp @ 2.549439
4 burusho_hgdp + burusho_hgdp + singapore-indian-d_sgvp + tamil-nadar_harappa @ 2.618906
5 brahmin-uttaranchal_metspalu + gujarati-a_hapmap + kalash_hgdp + singapore-indian-d_sgvp @ 2.619441
6 burusho_hgdp + burusho_hgdp + chenchu_metspalu + singapore-indian-d_sgvp @ 2.635261
7 burusho_hgdp + burusho_hgdp + kol_metspalu + singapore-indian-d_sgvp @ 2.652948
8 burusho_hgdp + burusho_hgdp + kamsali_reich + singapore-indian-d_sgvp @ 2.653399
9 burusho_hgdp + burusho_hgdp + hallaki_reich + singapore-indian-d_sgvp @ 2.664487
10 burusho_hgdp + burusho_hgdp + naidu_reich + singapore-indian-d_sgvp @ 2.673434
11 burusho_hgdp + burusho_hgdp + singapore-indian-d_sgvp + vysya_reich @ 2.680967
12 brahmin-uttaranchal_metspalu + gujarati-a_1000genomes + kalash_hgdp + singapore-indian-d_sgvp @ 2.690729
13 gujarati-a_hapmap + kalash_hgdp + nepalese-c_xing + singapore-indian-d_sgvp @ 2.763524
14 burusho_hgdp + burusho_hgdp + singapore-indian-d_sgvp + sinhalese_harappa @ 2.766461
15 burusho_hgdp + burusho_hgdp + dusadh_metspalu + singapore-indian-d_sgvp @ 2.802631
16 burusho_hgdp + burusho_hgdp + singapore-indian-d_sgvp + tamil-vellalar_harappa @ 2.826082
17 burusho_hgdp + burusho_hgdp + singapore-indian-d_sgvp + tamil-nadu-scheduled-caste_metspalu @ 2.856338
18 gujarati-a_1000genomes + kalash_hgdp + nepalese-c_xing + singapore-indian-d_sgvp @ 2.867629
19 brahmin-uttaranchal_metspalu + kalash_hgdp + singapore-indian-d_sgvp + velama_metspalu @ 2.896302
20 brahmin-uttaranchal_metspalu + gujarati-patel_harappa + kalash_hgdp + singapore-indian-d_sgvp @ 2.913427
This guy's found to be Kumaoni Brahmin from India, and not the Nepali Kumai Bahun, but the ethnicity's same Khas people lol.
Lucas
01-06-2021, 08:34 PM
Nice results
Kaazi
01-16-2021, 01:18 AM
I just saw this Bahun.
Gaudel - This is a Western region Bahun. It's among those rare BMAC shifted Bahuns who has low NE-Euro and high Caucasian base.
Admix Results (sorted):
# Population Percent
1 S-Indian 36.05
2 Baloch 32.94
3 Caucasian 10.12
4 NE-Euro 9.23
5 NE-Asian 3.04
6 Mediterranean 2.77
7 Beringian 1.41
8 SE-Asian 1.22
9 Siberian 1.2
10 American 1.18
11 Papuan 0.85
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 3.38
2 punjabi (harappa) 7.16
3 up-brahmin (harappa) 7.3
4 nepalese-a (xing) 7.43
5 bengali-brahmin (harappa) 7.48
6 kashmiri-pandit (reich) 7.54
7 punjabi-brahmin (harappa) 7.75
8 gujarati-muslim (harappa) 7.82
9 singapore-indian-c (sgvp) 7.94
10 bihari-muslim (harappa) 8.01
11 kashmiri (harappa) 8.06
12 punjabi-jatt-muslim (harappa) 8.28
13 kashmiri-pahari (harappa) 8.41
14 punjabi-ramgarhia (harappa) 8.56
15 brahmin-uttar-pradesh (metspalu) 8.69
16 vaish (reich) 10.06
17 punjabi-khatri (harappa) 10.28
18 punjabi-jatt-sikh (harappa) 10.71
19 up-kshatriya (metspalu) 10.89
20 karnataka-brahmin (harappa) 11.04
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 62.1% tharu (metspalu) + 37.9% tajik (yunusbayev) @ 1.92
2 63.1% up-muslim (metspalu) + 36.9% tajik (yunusbayev) @ 1.94
3 79.4% gujarati (harappa) + 20.6% nogai (yunusbayev) @ 2.19
4 79.4% bihari-muslim (harappa) + 20.6% tajik (yunusbayev) @ 2.24
5 56.3% lodi (reich) + 43.7% tajik (yunusbayev) @ 2.27
6 61% kanjar (metspalu) + 39% tajik (yunusbayev) @ 2.36
7 62.7% dharkar (metspalu) + 37.3% tajik (yunusbayev) @ 2.49
8 67.3% bihari (harappa) + 32.7% tajik (yunusbayev) @ 2.52
9 65.7% caribbean-indian (harappa) + 34.3% tajik (yunusbayev) @ 2.58
10 87.3% bengali-brahmin (harappa) + 12.7% kumyk (yunusbayev) @ 2.59
11 55.3% dusadh (metspalu) + 44.7% tajik (yunusbayev) @ 2.61
12 68.3% up (harappa) + 31.7% tajik (yunusbayev) @ 2.63
13 81.2% up-kshatriya (metspalu) + 18.8% nogai (yunusbayev) @ 2.63
14 85.7% bengali-brahmin (harappa) + 14.3% iranian (harappa) @ 2.68
15 88.6% bengali-brahmin (harappa) + 11.4% north-ossetian (yunusbayev) @ 2.68
16 83.3% bengali-brahmin (harappa) + 16.7% turkmen (yunusbayev) @ 2.69
17 73.5% karnataka-brahmin (harappa) + 26.5% tajik (yunusbayev) @ 2.7
18 87.2% bengali-brahmin (harappa) + 12.8% lezgin (behar) @ 2.71
19 52.1% bengali-brahmin (harappa) + 47.9% kashmiri (harappa) @ 2.74
20 88.5% bengali-brahmin (harappa) + 11.5% balkar (yunusbayev) @ 2.77
Kaazi
01-17-2021, 11:25 AM
Basnet - Jharra Chhetri- SNPs used in this evaluation: 170989.
Admix Results (sorted):
# Population Percent
1 S-Indian 30.19
2 Baloch 25.39
3 NE-Asian 20.58
4 NE-Euro 10.53
5 Caucasian 5.01
6 Siberian 4.44
7 Mediterranean 1.35
8 Papuan 0.91
9 American 0.75
10 SE-Asian 0.55
11 Beringian 0.31
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 6.15
2 nepalese-a (xing) 19.68
3 burusho (hgdp) 20.7
4 up-muslim (harappa) 21
5 kashmiri (harappa) 21.84
6 bengali-brahmin (harappa) 22.12
7 bihari-muslim (harappa) 22.8
8 bengali (harappa) 22.84
9 punjabi (harappa) 23.13
10 gujarati-muslim (harappa) 23.19
11 kashmiri-pandit (reich) 23.55
12 punjabi-jatt-muslim (harappa) 23.71
13 haryana-jatt (harappa) 23.79
14 singapore-indian-c (sgvp) 23.79
15 up-brahmin (harappa) 23.84
16 kashmiri-pahari (harappa) 23.9
17 punjabi-brahmin (harappa) 24.17
18 punjabi-jatt-sikh (harappa) 24.18
19 brahmin-uttar-pradesh (metspalu) 24.26
20 punjabi-ramgarhia (harappa) 24.46
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 62.9% nepalese-a (xing) + 37.1% nepalese-b (xing) @ 2.38
2 90.3% nepalese-c (xing) + 9.7% chuvash (behar) @ 2.5
3 72.9% up-brahmin (harappa) + 27.1% tibet (simonson) @ 2.74
4 91.8% nepalese-c (xing) + 8.2% russian (hgdp) @ 2.75
5 91.5% nepalese-c (xing) + 8.5% mordovian (yunusbayev) @ 2.78
6 71.2% brahmin-uttar-pradesh (metspalu) + 28.8% tu (hgdp) @ 3.01
7 92.7% nepalese-c (xing) + 7.3% lithuanian (behar) @ 3.03
8 93.3% nepalese-c (xing) + 6.7% finnish (1000genomes) @ 3.04
9 72.6% brahmin-uttar-pradesh (metspalu) + 27.4% tibet (simonson) @ 3.12
10 92.2% nepalese-c (xing) + 7.8% russian (behar) @ 3.12
11 92.3% nepalese-c (xing) + 7.7% belorussian (behar) @ 3.16
12 91.9% nepalese-c (xing) + 8.1% ukranian (yunusbayev) @ 3.22
13 71.6% up-brahmin (harappa) + 28.4% tu (hgdp) @ 3.25
14 73.8% up-brahmin (harappa) + 26.2% nysha (reich) @ 3.33
15 70.7% brahmin-uttar-pradesh (metspalu) + 29.3% xibo (hgdp) @ 3.41
16 74.1% up-brahmin (harappa) + 25.9% naga (metspalu) @ 3.5
17 92.3% nepalese-c (xing) + 7.7% orcadian (hgdp) @ 3.57
18 92.2% nepalese-c (xing) + 7.8% utahn-white (hapmap) @ 3.57
19 92.2% nepalese-c (xing) + 7.8% n-european (xing) @ 3.58
20 91.9% nepalese-c (xing) + 8.1% slovenian (xing) @ 3.59
Admix Results (sorted):
# Population Percent
1 S-Indian 30.19
2 Baloch 25.39
3 NE-Asian 20.58
4 NE-Euro 10.53
5 Caucasian 5.01
6 Siberian 4.44
7 Mediterranean 1.35
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-c_xing @ 6.683349
2 brahmin-uttaranchal_metspalu @ 7.138555
3 nepali_harappa @ 19.416731
4 nepalese-a_xing @ 21.217773
5 up-muslim_harappa @ 22.565413
6 burusho_hgdp @ 22.582216
7 kashmiri_harappa @ 23.637463
8 rajasthani-brahmin_harappa @ 23.652632
9 bengali-brahmin_harappa @ 23.831240
10 bihari-brahmin_harappa @ 24.285614
11 pushtikar-brahmin_harappa @ 24.304539
12 bihari-muslim_harappa @ 24.621853
13 bengali_harappa @ 24.778074
14 punjabi_harappa @ 24.956875
15 gujarati-muslim_harappa @ 25.043728
16 kashmiri-pandit_reich @ 25.442307
17 punjabi-jatt-muslim_harappa @ 25.546358
18 haryana-jatt_harappa @ 25.627209
19 up-brahmin_harappa @ 25.672915
20 singapore-indian-c_sgvp @ 25.687080
Using 2 populations approximation:
1 50% kanjar_metspalu +50% uyghur_hgdp @ 6.653927
Using 3 populations approximation:
1 50% haryana-jatt_harappa +25% kol_metspalu +25% tibet_simonson @ 1.866719
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++
1 haryana-jatt_harappa + haryana-jatt_harappa + kol_metspalu + tibet_simonson @ 1.866719
2 haryana-jatt_harappa + nepalese-a_xing + srivastava_reich + tibet_simonson @ 1.890608
3 haryana-jatt_harappa + nepalese-a_xing + sourastrian_harappa + tibet_simonson @ 2.027678
4 caribbean-indian_harappa + haryana-jatt_harappa + nepalese-a_xing + tibet_simonson @ 2.035332
5 bengali-brahmin_harappa + haryana-jatt_harappa + tibet_simonson + vaish_reich @ 2.068568
6 bihari-muslim_harappa + brahmin-uttar-pradesh_metspalu + haryana-jatt_harappa + tibet_simonson @ 2.071479
7 haryana-jatt_harappa + haryana-jatt_harappa + tibet_simonson + up-scheduled-caste_metspalu @ 2.072406
8 bengali-brahmin_harappa + bengali-brahmin_harappa + haryana-jatt_harappa + tibet_simonson @ 2.077253
9 haryana-jatt_harappa + nepali_harappa + srivastava_reich + tibet_simonson @ 2.091069
10 chenchu_metspalu + haryana-jatt_harappa + haryana-jatt_harappa + tibet_simonson @ 2.105836
11 bengali-brahmin_harappa + brahmin-uttar-pradesh_metspalu + haryana-jatt_harappa + tibet_simonson @ 2.125898
12 bengali-brahmin_harappa + bihari-muslim_harappa + haryana-jatt_harappa + tibet_simonson @ 2.140747
13 hallaki_reich + haryana-jatt_harappa + haryana-jatt_harappa + tibet_simonson @ 2.170958
14 bihari-muslim_harappa + haryana-jatt_harappa + tibet_simonson + vaish_reich @ 2.210767
15 haryana-jatt_harappa + haryana-jatt_harappa + kol_metspalu + nysha_reich @ 2.219871
16 nepali_harappa + rajasthani-brahmin_harappa + srivastava_reich + tibet_simonson @ 2.230100
17 haryana-jatt_harappa + rajasthani-brahmin_harappa + south-african-indian_harappa + tibet_simonson @ 2.231500
18 bengali-brahmin_harappa + brahmin-uttar-pradesh_metspalu + rajasthani-brahmin_harappa + tibet_simonson @ 2.231936
19 dusadh_metspalu + haryana-jatt_harappa + haryana-jatt_harappa + tibet_simonson @ 2.234380
20 haryana-jatt_harappa + srivastava_reich + tibet_simonson + up-brahmin_harappa @ 2.243304
105438
Kaazi
01-17-2021, 11:26 AM
Khatri Chhetri Matches with Basnet. Highest "Baloch" for Chhetris. I think some of his NE-Asian got read into SE-Asian. SNPs used in this evaluation: 52667.
Admix Results (sorted):
# Population Percent
1 S-Indian 31.89
2 Baloch 30.55
3 NE-Asian 12.82
4 NE-Euro 9.36
5 SE-Asian 4.5
6 Mediterranean 3.1
7 Siberian 2.78
8 Caucasian 2.04
9 SW-Asian 1.5
10 Papuan 0.73
11 San 0.53
12 Beringian 0.21
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 12.41
2 nepalese-c (xing) 13.23
3 up-muslim (harappa) 14.15
4 bengali-brahmin (harappa) 14.58
5 bihari-muslim (harappa) 15.83
6 punjabi (harappa) 16.28
7 up-brahmin (harappa) 16.33
8 singapore-indian-c (sgvp) 16.5
9 burusho (hgdp) 16.59
10 kashmiri (harappa) 16.6
11 bengali (harappa) 16.77
12 kashmiri-pahari (harappa) 16.77
13 brahmin-uttar-pradesh (metspalu) 16.87
14 gujarati-muslim (harappa) 16.93
15 punjabi-ramgarhia (harappa) 16.94
16 punjabi-jatt-muslim (harappa) 17.19
17 kashmiri-pandit (reich) 17.21
18 punjabi-brahmin (harappa) 17.33
19 vaish (reich) 17.46
20 punjabi-jatt-sikh (harappa) 17.56
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 80.3% nepalese-a (xing) + 19.7% garo (chaubey) @ 3.85
2 81.4% up-brahmin (harappa) + 18.6% yi (hgdp) @ 4.02
3 82.3% up-brahmin (harappa) + 17.7% chinese-beijing (1000genomes) @ 4.07
4 81.3% up-brahmin (harappa) + 18.7% naxi (hgdp) @ 4.08
5 81.7% up-brahmin (harappa) + 18.3% tujia (hgdp) @ 4.16
6 79.8% nepalese-a (xing) + 20.2% burmanese (chaubey) @ 4.2
7 81.8% up-brahmin (harappa) + 18.2% chinese-american (hapmap) @ 4.23
8 81.9% up-brahmin (harappa) + 18.1% japanese (hgdp) @ 4.28
9 81.8% brahmin-uttar-pradesh (metspalu) + 18.2% chinese-beijing (1000genomes) @ 4.4
10 82.4% up-brahmin (harappa) + 17.6% han-nchina (hgdp) @ 4.44
11 81.7% up-brahmin (harappa) + 18.3% han (hgdp) @ 4.45
12 81.2% brahmin-uttar-pradesh (metspalu) + 18.8% tujia (hgdp) @ 4.48
13 81.7% up-brahmin (harappa) + 18.3% han-chinese-south (1000genomes) @ 4.53
14 81% brahmin-uttar-pradesh (metspalu) + 19% yi (hgdp) @ 4.53
15 81.4% brahmin-uttar-pradesh (metspalu) + 18.6% japanese (hgdp) @ 4.54
16 81.6% up-brahmin (harappa) + 18.4% chinese (xing) @ 4.54
17 81.3% brahmin-uttar-pradesh (metspalu) + 18.7% chinese-american (hapmap) @ 4.56
18 80.9% brahmin-uttar-pradesh (metspalu) + 19.1% naxi (hgdp) @ 4.59
19 81.8% up-brahmin (harappa) + 18.2% she (hgdp) @ 4.67
20 81.9% brahmin-uttar-pradesh (metspalu) + 18.1% han-nchina (hgdp) @ 4.73
4-oracles
Admix Results (sorted):
# Population Percent
1 S-Indian 31.89
2 Baloch 30.55
3 NE-Asian 12.82
4 NE-Euro 9.36
5 SE-Asian 4.50
6 Mediterranean 3.10
7 Siberian 2.78
8 Caucasian 2.04
9 SW-Asian 1.50
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepali_harappa @ 12.313465
2 nepalese-a_xing @ 13.392010
3 nepalese-c_xing @ 14.195166
4 brahmin-uttaranchal_metspalu @ 14.758164
5 up-muslim_harappa @ 15.312197
6 bengali-brahmin_harappa @ 15.770866
7 bihari-brahmin_harappa @ 15.991939
8 rajasthani-brahmin_harappa @ 16.863859
9 bihari-muslim_harappa @ 17.197245
10 up-brahmin_harappa @ 17.608076
11 pushtikar-brahmin_harappa @ 17.614016
12 punjabi_harappa @ 17.660046
13 singapore-indian-c_sgvp @ 17.896927
14 kashmiri_harappa @ 18.149006
15 brahmin-uttar-pradesh_metspalu @ 18.226250
16 kashmiri-pahari_harappa @ 18.227613
17 burusho_hgdp @ 18.247963
18 punjabi-ramgarhia_harappa @ 18.362045
19 bengali_harappa @ 18.365664
20 gujarati-muslim_harappa @ 18.449902
Using 2 populations approximation:
1 50% nepalese-a_xing +50% nepalese-c_xing @ 6.103253
Using 3 populations approximation:
1 50% bihari-brahmin_harappa +25% burmanese_chaubey +25% nepalese-a_xing @ 4.344523
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++
1 bihari-brahmin_harappa + bihari-brahmin_harappa + burmanese_chaubey + nepalese-a_xing @ 4.344523
2 burmanese_chaubey + gujarati-a_hapmap + haryana-jatt_harappa + nepalese-a_xing @ 4.507327
3 burmanese_chaubey + gujarati-a_1000genomes + haryana-jatt_harappa + nepalese-a_xing @ 4.532659
4 burmanese_chaubey + gujarati-patel_harappa + haryana-jatt_harappa + nepalese-a_xing @ 4.570730
5 bihari-brahmin_harappa + garo_chaubey + nepalese-a_xing + punjabi-ramgarhia_harappa @ 4.571711
6 bihari-brahmin_harappa + burmanese_chaubey + nepalese-a_xing + nepalese-a_xing @ 4.598099
7 garo_chaubey + gujarati-a_hapmap + haryana-jatt_harappa + nepalese-a_xing @ 4.602809
8 garo_chaubey + gujarati-patel_harappa + haryana-jatt_harappa + haryana-jatt_harappa @ 4.607642
9 garo_chaubey + gujarati-a_hapmap + haryana-jatt_harappa + haryana-jatt_harappa @ 4.627457
10 garo_chaubey + gujarati-a_1000genomes + haryana-jatt_harappa + nepalese-a_xing @ 4.636804
11 bihari-brahmin_harappa + garo_chaubey + haryana-jatt_harappa + kerala-brahmin_harappa @ 4.639939
12 bihari-brahmin_harappa + bihari-brahmin_harappa + garo_chaubey + nepalese-a_xing @ 4.643178
13 garo_chaubey + nepalese-a_xing + oriya_harappa + punjabi-jatt-sikh_harappa @ 4.660518
14 bihari-brahmin_harappa + burmanese_chaubey + nepalese-a_xing + up-brahmin_harappa @ 4.660760
15 burmanese_chaubey + gujarati-b_hapmap + nepalese-a_xing + nepalese-a_xing @ 4.660921
16 bhatia_harappa + bihari-brahmin_harappa + garo_chaubey + oriya_harappa @ 4.689753
17 bhatia_harappa + garo_chaubey + nepalese-a_xing + oriya_harappa @ 4.694685
18 bihari-brahmin_harappa + garo_chaubey + nepalese-a_xing + nepalese-a_xing @ 4.708488
19 bihari-brahmin_harappa + bihari-brahmin_harappa + bihari-brahmin_harappa + burmanese_chaubey @ 4.713174
20 bihari-brahmin_harappa + bihari-brahmin_harappa + garo_chaubey + punjabi-jatt-sikh_harappa @ 4.717261
Kaazi
01-18-2021, 11:32 AM
Khanal Bahun/Brahmin SNPs used in this evaluation: 171527.
Admix Results (sorted):
# Population Percent
1 Baloch 34.78
2 S-Indian 34.08
3 NE-Euro 12.39
4 Caucasian 8.79
5 NE-Asian 3.63
6 American 2.26
7 Mediterranean 1.53
8 Siberian 1.48
9 Beringian 0.83
10 Papuan 0.23
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 4.41
2 up-muslim (harappa) 5.58
3 punjabi-brahmin (harappa) 6.39
4 singapore-indian-c (sgvp) 6.73
5 punjabi (harappa) 6.75
6 kashmiri-pandit (reich) 6.84
7 up-brahmin (harappa) 7.2
8 kashmiri (harappa) 7.59
9 punjabi-ramgarhia (harappa) 7.78
10 kashmiri-pahari (harappa) 7.85
11 punjabi-jatt-muslim (harappa) 8.17
12 punjabi-jatt-sikh (harappa) 8.41
13 punjabi-khatri (harappa) 8.95
14 brahmin-uttar-pradesh (metspalu) 8.98
15 bengali-brahmin (harappa) 9.07
16 haryana-jatt (harappa) 9.43
17 gujarati-muslim (harappa) 9.5
18 bihari-muslim (harappa) 10.44
19 punjabi-arain (xing) 10.97
20 vaish (reich) 11.19
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 76.4% brahmin-uttar-pradesh (metspalu) + 23.6% tajik (yunusbayev) @ 2.44
2 72.1% vaish (reich) + 27.9% tajik (yunusbayev) @ 2.78
3 90.1% nepalese-a (xing) + 9.9% romanian-b (behar) @ 2.84
4 85.1% nepalese-a (xing) + 14.9% bene-israel-jew (behar) @ 2.89
5 95.1% nepalese-a (xing) + 4.9% druze (hgdp) @ 2.96
6 95.4% nepalese-a (xing) + 4.6% georgian (behar) @ 3.01
7 59.5% nepalese-a (xing) + 40.5% up-muslim (harappa) @ 3.05
8 95.2% nepalese-a (xing) + 4.8% abhkasian (yunusbayev) @ 3.05
9 94.8% nepalese-a (xing) + 5.2% armenian (behar) @ 3.1
10 70.3% up-kshatriya (metspalu) + 29.7% tajik (yunusbayev) @ 3.11
11 85.5% up-brahmin (harappa) + 14.5% uzbek (behar) @ 3.11
12 94.9% nepalese-a (xing) + 5.1% cypriot (behar) @ 3.12
13 94.6% nepalese-a (xing) + 5.4% balkar (yunusbayev) @ 3.17
14 94.9% nepalese-a (xing) + 5.1% lebanese-druze (haber) @ 3.17
15 94.7% nepalese-a (xing) + 5.3% adygei (hgdp) @ 3.18
16 86.6% up-brahmin (harappa) + 13.4% uyghur (hgdp) @ 3.18
17 94.7% nepalese-a (xing) + 5.3% north-ossetian (yunusbayev) @ 3.19
18 94.9% nepalese-a (xing) + 5.1% azerbaijan-jew (behar) @ 3.2
19 94.3% nepalese-a (xing) + 5.7% turk (behar) @ 3.21
20 95.1% nepalese-a (xing) + 4.9% lebanese-christian (haber) @ 3.21
4-oracles
Admix Results (sorted):
# Population Percent
1 Baloch 34.78
2 S-Indian 34.08
3 NE-Euro 12.39
4 Caucasian 8.79
5 NE-Asian 3.63
6 American 2.26
7 Mediterranean 1.53
8 Siberian 1.48
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepali_harappa @ 4.274985
2 nepalese-a_xing @ 4.777479
3 rajasthani-brahmin_harappa @ 5.013842
4 up-muslim_harappa @ 6.022424
5 punjabi-brahmin_harappa @ 6.955351
6 pushtikar-brahmin_harappa @ 7.255109
7 singapore-indian-c_sgvp @ 7.301654
8 punjabi_harappa @ 7.324032
9 kashmiri-pandit_reich @ 7.492943
10 up-brahmin_harappa @ 7.799275
11 bihari-brahmin_harappa @ 7.820775
12 kashmiri_harappa @ 8.399179
13 punjabi-ramgarhia_harappa @ 8.453197
14 kashmiri-pahari_harappa @ 8.556423
15 punjabi-jatt-muslim_harappa @ 8.785522
16 punjabi-jatt-sikh_harappa @ 9.175782
17 punjabi-khatri_harappa @ 9.847358
18 brahmin-uttar-pradesh_metspalu @ 9.867403
19 bengali-brahmin_harappa @ 9.943884
20 haryana-jatt_harappa @ 10.336977
Using 2 populations approximation:
1 50% nepali_harappa +50% rajasthani-brahmin_harappa @ 3.051617
Using 3 populations approximation:
1 50% bihari-brahmin_harappa +25% srivastava_reich +25% tajik_yunusbayev @ 2.179653
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++
1 brahmin-uttar-pradesh_metspalu + kanjar_metspalu + rajasthani-brahmin_harappa + tajik_yunusbayev @ 2.021604
2 brahmin-uttar-pradesh_metspalu + nepalese-a_xing + tajik_yunusbayev + up-muslim_metspalu @ 2.071059
3 burusho_hgdp + chenchu_metspalu + haryana-jatt_harappa + haryana-jatt_harappa @ 2.091098
4 brahmin-uttar-pradesh_metspalu + rajasthani-brahmin_harappa + tajik_yunusbayev + up-muslim_metspalu @ 2.121101
5 kol_metspalu + nepalese-a_xing + rajasthani-brahmin_harappa + tajik_yunusbayev @ 2.129049
6 brahmin-uttar-pradesh_metspalu + nepalese-a_xing + srivastava_reich + tajik_yunusbayev @ 2.155465
7 bihari-brahmin_harappa + rajasthani-brahmin_harappa + tajik_yunusbayev + up-scheduled-caste_metspalu @ 2.160019
8 bihari-brahmin_harappa + bihari-brahmin_harappa + srivastava_reich + tajik_yunusbayev @ 2.179653
9 bihari-brahmin_harappa + kanjar_metspalu + rajasthani-brahmin_harappa + tajik_yunusbayev @ 2.187874
10 brahmin-uttar-pradesh_metspalu + kanjar_metspalu + nepalese-a_xing + tajik_yunusbayev @ 2.223688
11 kanjar_metspalu + rajasthani-brahmin_harappa + tajik_yunusbayev + vaish_reich @ 2.258576
12 brahmin-uttar-pradesh_metspalu + rajasthani-brahmin_harappa + tajik_yunusbayev + tharu_metspalu @ 2.261523
13 brahmin-uttar-pradesh_metspalu + nepalese-a_xing + tajik_yunusbayev + tharu_metspalu @ 2.273318
14 rajasthani-brahmin_harappa + tajik_yunusbayev + up-muslim_metspalu + vaish_reich @ 2.274659
15 bihari-brahmin_harappa + nepalese-a_xing + tajik_yunusbayev + up-muslim_metspalu @ 2.285649
16 bihari-brahmin_harappa + srivastava_reich + tajik_yunusbayev + up-brahmin_harappa @ 2.295258
17 bengali-brahmin_harappa + kanjar_metspalu + rajasthani-brahmin_harappa + tajik_yunusbayev @ 2.301767
18 nepalese-a_xing + tajik_yunusbayev + up-brahmin_harappa + up-muslim_metspalu @ 2.304279
19 bihari-brahmin_harappa + lodi_reich + rajasthani-brahmin_harappa + tajik_yunusbayev @ 2.306535
20 kanjar_metspalu + nepalese-a_xing + tajik_yunusbayev + up-brahmin_harappa @ 2.308495
Kaazi
01-18-2021, 11:42 AM
Kaundinya Bahun SNPs used in this evaluation: 183479.
Admix Results (sorted):
# Population Percent
1 Baloch 34.9
2 S-Indian 33.37
3 NE-Euro 12.5
4 Caucasian 8.06
5 NE-Asian 2.91
6 Mediterranean 2.22
7 Siberian 1.61
8 SE-Asian 1.49
9 Beringian 1.32
10 American 0.86
11 Papuan 0.77
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 4.02
2 up-muslim (harappa) 5.43
3 punjabi-brahmin (harappa) 6.44
4 singapore-indian-c (sgvp) 6.47
5 punjabi (harappa) 6.6
6 kashmiri-pandit (reich) 6.91
7 up-brahmin (harappa) 6.98
8 punjabi-ramgarhia (harappa) 7.45
9 punjabi-jatt-muslim (harappa) 7.69
10 punjabi-jatt-sikh (harappa) 7.74
11 kashmiri-pahari (harappa) 7.81
12 kashmiri (harappa) 7.9
13 haryana-jatt (harappa) 8.76
14 bengali-brahmin (harappa) 8.93
15 punjabi-khatri (harappa) 8.99
16 brahmin-uttar-pradesh (metspalu) 9.06
17 gujarati-muslim (harappa) 9.52
18 bihari-muslim (harappa) 10.58
19 punjabi-arain (xing) 10.67
20 sindhi (harappa) 11.07
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 75.8% brahmin-uttar-pradesh (metspalu) + 24.2% tajik (yunusbayev) @ 1.83
2 89.7% nepalese-a (xing) + 10.3% romanian-b (behar) @ 1.93
3 67.3% haryana-jatt (harappa) + 32.7% bengali (harappa) @ 2.18
4 71.5% vaish (reich) + 28.5% tajik (yunusbayev) @ 2.2
5 80.9% up-brahmin (harappa) + 19.1% tajik (yunusbayev) @ 2.32
6 55% haryana-jatt (harappa) + 45% bihari-muslim (harappa) @ 2.39
7 94.8% nepalese-a (xing) + 5.2% cypriot (behar) @ 2.46
8 85.4% up-brahmin (harappa) + 14.6% uzbek (behar) @ 2.46
9 76.4% bengali-brahmin (harappa) + 23.6% tajik (yunusbayev) @ 2.48
10 95.3% nepalese-a (xing) + 4.7% druze (hgdp) @ 2.52
11 60.8% nepalese-a (xing) + 39.2% up-muslim (harappa) @ 2.58
12 94.4% nepalese-a (xing) + 5.6% ashkenazy-jew (behar) @ 2.58
13 94.6% nepalese-a (xing) + 5.4% sephardic-jew (behar) @ 2.59
14 94.5% nepalese-a (xing) + 5.5% ashkenazi (harappa) @ 2.59
15 95% nepalese-a (xing) + 5% lebanese-druze (haber) @ 2.63
16 86.5% nepalese-a (xing) + 13.5% bene-israel-jew (behar) @ 2.64
17 94.2% nepalese-a (xing) + 5.8% turk-istanbul (hodoglugil) @ 2.64
18 94.3% nepalese-a (xing) + 5.7% turk-kayseri (hodoglugil) @ 2.64
19 95% nepalese-a (xing) + 5% armenian (behar) @ 2.65
20 94.3% nepalese-a (xing) + 5.7% turk (behar) @ 2.66
4-oracles
Admix Results (sorted):
# Population Percent
1 Baloch 34.90
2 S-Indian 33.37
3 NE-Euro 12.50
4 Caucasian 8.06
5 NE-Asian 2.91
6 Mediterranean 2.22
7 Siberian 1.61
8 SE-Asian 1.49
9 Beringian 1.32
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepali_harappa @ 3.069619
2 nepalese-a_xing @ 4.372470
3 rajasthani-brahmin_harappa @ 4.797692
4 up-muslim_harappa @ 5.945066
5 pushtikar-brahmin_harappa @ 6.756278
6 punjabi-brahmin_harappa @ 7.028170
7 singapore-indian-c_sgvp @ 7.079868
8 punjabi_harappa @ 7.238313
9 kashmiri-pandit_reich @ 7.616094
10 up-brahmin_harappa @ 7.649774
11 bihari-brahmin_harappa @ 7.920449
12 punjabi-ramgarhia_harappa @ 8.164454
13 punjabi-jatt-muslim_harappa @ 8.385633
14 punjabi-jatt-sikh_harappa @ 8.484357
15 kashmiri-pahari_harappa @ 8.563167
16 kashmiri_harappa @ 8.752695
17 haryana-jatt_harappa @ 9.601547
18 bengali-brahmin_harappa @ 9.865360
19 punjabi-khatri_harappa @ 9.890532
20 brahmin-uttar-pradesh_metspalu @ 9.978547
Using 2 populations approximation:
1 50% nepalese-a_xing +50% nepali_harappa @ 1.856881
Using 3 populations approximation:
1 50% nepali_harappa +25% rajasthani-brahmin_harappa +25% up-brahmin_harappa @ 1.252784
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++
1 nepali_harappa + nepali_harappa + rajasthani-brahmin_harappa + up-brahmin_harappa @ 1.252784
2 nepalese-a_xing + nepali_harappa + nepali_harappa + rajasthani-brahmin_harappa @ 1.265328
3 burusho_hgdp + haryana-jatt_harappa + haryana-jatt_harappa + tharu_reich @ 1.324904
4 bihari-muslim_harappa + haryana-jatt_harappa + nepalese-a_xing + nepali_harappa @ 1.333511
5 bengali-brahmin_harappa + haryana-jatt_harappa + nepali_harappa + nepali_harappa @ 1.386228
6 bihari-muslim_harappa + haryana-jatt_harappa + nepali_harappa + rajasthani-brahmin_harappa @ 1.417915
7 bihari-muslim_harappa + haryana-jatt_harappa + nepali_harappa + nepali_harappa @ 1.425400
8 brahmin-uttar-pradesh_metspalu + haryana-jatt_harappa + nepali_harappa + nepali_harappa @ 1.470195
9 bihari-brahmin_harappa + nepali_harappa + nepali_harappa + rajasthani-brahmin_harappa @ 1.483786
10 bengali-brahmin_harappa + haryana-jatt_harappa + nepalese-a_xing + nepali_harappa @ 1.502162
11 bengali-brahmin_harappa + oriya_harappa + tajik_yunusbayev + up-brahmin_harappa @ 1.506831
12 haryana-jatt_harappa + oriya_harappa + tajik_yunusbayev + up-muslim_metspalu @ 1.514501
13 nepalese-a_xing + nepali_harappa + rajasthani-brahmin_harappa + up-muslim_harappa @ 1.529186
14 bengali_harappa + haryana-jatt_harappa + haryana-jatt_harappa + kashmiri-pandit_reich @ 1.559740
15 haryana-jatt_harappa + kanjar_metspalu + oriya_harappa + tajik_yunusbayev @ 1.562292
16 oriya_harappa + oriya_harappa + rajasthani-brahmin_harappa + tajik_yunusbayev @ 1.581406
17 bengali_harappa + haryana-jatt_harappa + punjabi-jatt-sikh_harappa + rajasthani-brahmin_harappa @ 1.581471
18 haryana-jatt_harappa + nepali_harappa + nepali_harappa + vaish_reich @ 1.587817
19 haryana-jatt_harappa + oriya_harappa + tajik_yunusbayev + tharu_metspalu @ 1.618148
20 haryana-jatt_harappa + nepali_harappa + nepali_harappa + up-kshatriya_metspalu @ 1.622693
Kaazi
01-18-2021, 11:52 AM
Tiwari Kumai Bahun (Nepali) or Kumaoni Brahmin (Indian)? Matches with Nepalis.
Admix Results (sorted):
# Population Percent
1 S-Indian 34.79
2 Baloch 32.22
3 NE-Euro 12.99
4 Caucasian 9.24
5 NE-Asian 4
6 SE-Asian 2.97
7 American 1.18
8 W-African 0.9
9 Siberian 0.75
10 Mediterranean 0.7
11 Beringian 0.27
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 6.55
2 nepalese-a (xing) 6.66
3 up-brahmin (harappa) 8.49
4 bengali-brahmin (harappa) 8.78
5 punjabi (harappa) 8.97
6 punjabi-brahmin (harappa) 8.99
7 kashmiri-pandit (reich) 9.11
8 singapore-indian-c (sgvp) 9.14
9 kashmiri (harappa) 9.32
10 brahmin-uttar-pradesh (metspalu) 9.66
11 punjabi-jatt-muslim (harappa) 10.03
12 bihari-muslim (harappa) 10.22
13 kashmiri-pahari (harappa) 10.35
14 punjabi-ramgarhia (harappa) 10.36
15 gujarati-muslim (harappa) 10.71
16 punjabi-jatt-sikh (harappa) 10.78
17 punjabi-khatri (harappa) 10.78
18 haryana-jatt (harappa) 11.11
19 vaish (reich) 11.6
20 up-kshatriya (metspalu) 12.83
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 84.9% bengali-brahmin (harappa) + 15.1% urkarah (xing) @ 3.61
2 78.1% bengali-brahmin (harappa) + 21.9% tajik (yunusbayev) @ 3.72
3 84.6% bengali-brahmin (harappa) + 15.4% stalskoe (xing) @ 3.83
4 85.6% bengali-brahmin (harappa) + 14.4% lezgin (behar) @ 3.93
5 63.3% srivastava (reich) + 36.7% tajik (yunusbayev) @ 3.95
6 83.5% brahmin-uttar-pradesh (metspalu) + 16.5% nogai (yunusbayev) @ 4
7 85.1% bengali-brahmin (harappa) + 14.9% nogai (yunusbayev) @ 4.1
8 60.2% haryana-jatt (harappa) + 39.8% bengali (harappa) @ 4.1
9 86.5% bengali-brahmin (harappa) + 13.5% chechen (yunusbayev) @ 4.13
10 86.1% bengali-brahmin (harappa) + 13.9% kumyk (yunusbayev) @ 4.25
11 64.2% bihari (harappa) + 35.8% tajik (yunusbayev) @ 4.39
12 58.2% kanjar (metspalu) + 41.8% tajik (yunusbayev) @ 4.5
13 80% brahmin-uttar-pradesh (metspalu) + 20% turkmen (yunusbayev) @ 4.5
14 81.9% bengali-brahmin (harappa) + 18.1% turkmen (yunusbayev) @ 4.51
15 87.6% bengali-brahmin (harappa) + 12.4% balkar (yunusbayev) @ 4.55
16 87.8% bengali-brahmin (harappa) + 12.2% north-ossetian (yunusbayev) @ 4.61
17 80.7% vaish (reich) + 19.3% nogai (yunusbayev) @ 4.62
18 87.8% bengali-brahmin (harappa) + 12.2% adygei (hgdp) @ 4.63
19 75.6% bihari-muslim (harappa) + 24.4% tajik (yunusbayev) @ 4.63
20 77% brahmin-uttar-pradesh (metspalu) + 23% tajik (yunusbayev) @ 4.69
Kaazi
01-18-2021, 11:55 AM
Some kind of Bahun Matches with lots of Bahuns and Chhetris. Very high Med.
Admix Results (sorted):
# Population Percent
1 S-Indian 33.43
2 Baloch 32.98
3 NE-Euro 12.46
4 Caucasian 6.82
5 NE-Asian 4.15
6 Mediterranean 3.76
7 Beringian 1.9
8 American 1.71
9 SE-Asian 1.7
10 Pygmy 0.38
11 Siberian 0.37
12 San 0.18
13 Papuan 0.16
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 5.82
2 up-muslim (harappa) 6.65
3 up-brahmin (harappa) 8.32
4 singapore-indian-c (sgvp) 8.81
5 punjabi-brahmin (harappa) 8.88
6 punjabi (harappa) 8.94
7 bengali-brahmin (harappa) 8.97
8 kashmiri-pandit (reich) 9.41
9 punjabi-ramgarhia (harappa) 9.71
10 brahmin-uttar-pradesh (metspalu) 9.72
11 kashmiri (harappa) 9.73
12 punjabi-jatt-muslim (harappa) 9.85
13 punjabi-jatt-sikh (harappa) 9.87
14 kashmiri-pahari (harappa) 9.88
15 haryana-jatt (harappa) 9.93
16 bihari-muslim (harappa) 10.87
17 gujarati-muslim (harappa) 10.9
18 punjabi-khatri (harappa) 11.08
19 vaish (reich) 11.64
20 punjabi-arain (xing) 12.75
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 63.6% haryana-jatt (harappa) + 36.4% bengali (harappa) @ 3.05
2 77.4% bengali-brahmin (harappa) + 22.6% tajik (yunusbayev) @ 3.62
3 87% nepalese-a (xing) + 13% romanian-b (behar) @ 3.77
4 94.2% nepalese-a (xing) + 5.8% sardinian (hgdp) @ 3.97
5 84.8% up-brahmin (harappa) + 15.2% uyghur (hgdp) @ 4
6 92.7% nepalese-a (xing) + 7.3% puerto-rican (1000genomes) @ 4.1
7 92.8% nepalese-a (xing) + 7.2% tuscan (hapmap) @ 4.14
8 66.9% haryana-jatt (harappa) + 33.1% sri-lankan (harappa) @ 4.14
9 92.8% nepalese-a (xing) + 7.2% tuscan (1000genomes) @ 4.14
10 93.1% nepalese-a (xing) + 6.9% colombian (1000genomes) @ 4.17
11 93.1% nepalese-a (xing) + 6.9% italian (hgdp) @ 4.17
12 92.8% nepalese-a (xing) + 7.2% ashkenazi (harappa) @ 4.25
13 93.1% nepalese-a (xing) + 6.9% morocco-jew (behar) @ 4.28
14 92.9% nepalese-a (xing) + 7.1% ashkenazy-jew (behar) @ 4.29
15 53.2% bengali-brahmin (harappa) + 46.8% haryana-jatt (harappa) @ 4.29
16 72.2% vaish (reich) + 27.8% tajik (yunusbayev) @ 4.3
17 77.1% haryana-jatt (harappa) + 22.9% chenchu (metspalu) @ 4.3
18 93.2% nepalese-a (xing) + 6.8% sephardic-jew (behar) @ 4.32
19 84.1% up-brahmin (harappa) + 15.9% uzbek (behar) @ 4.33
20 93.7% nepalese-a (xing) + 6.3% spaniard (1000genomes) @ 4.34
4-oracles
Admix Results (sorted):
# Population Percent
1 S-Indian 33.43
2 Baloch 32.98
3 NE-Euro 12.46
4 Caucasian 6.82
5 NE-Asian 4.15
6 Mediterranean 3.76
7 Beringian 1.90
8 American 1.71
9 SE-Asian 1.70
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepali_harappa @ 3.454534
2 nepalese-a_xing @ 6.238744
3 rajasthani-brahmin_harappa @ 7.019496
4 up-muslim_harappa @ 7.230293
5 bihari-brahmin_harappa @ 8.622137
6 up-brahmin_harappa @ 9.026922
7 pushtikar-brahmin_harappa @ 9.179583
8 singapore-indian-c_sgvp @ 9.615584
9 punjabi-brahmin_harappa @ 9.704209
10 punjabi_harappa @ 9.763246
11 bengali-brahmin_harappa @ 9.827249
12 kashmiri-pandit_reich @ 10.324831
13 punjabi-ramgarhia_harappa @ 10.576214
14 brahmin-uttar-pradesh_metspalu @ 10.625582
15 punjabi-jatt-muslim_harappa @ 10.715835
16 kashmiri_harappa @ 10.758440
17 punjabi-jatt-sikh_harappa @ 10.795062
18 kashmiri-pahari_harappa @ 10.808703
19 haryana-jatt_harappa @ 10.881187
20 bihari-muslim_harappa @ 11.914954
Using 2 populations approximation:
1 50% nepali_harappa +50% nepali_harappa @ 3.454534
Using 3 populations approximation:
1 50% burusho_hgdp +25% singapore-indian-d_sgvp +25% tamil-vellalar_harappa @ 3.187774
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++
1 burusho_hgdp + lambadi_metspalu + punjabi-arain_xing + singapore-indian-d_sgvp @ 2.724477
2 burusho_hgdp + lambadi_metspalu + sindhi_hgdp + singapore-indian-d_sgvp @ 2.795484
3 burusho_hgdp + gujarati-patel_harappa + kashmiri_harappa + singapore-indian-d_sgvp @ 2.799374
4 burusho_hgdp + kerala-muslim_harappa + punjabi-arain_xing + singapore-indian-d_sgvp @ 2.806208
5 burusho_hgdp + gujarati-patel_harappa + punjabi-jatt-muslim_harappa + singapore-indian-d_sgvp @ 2.835799
6 burusho_hgdp + gujarati-muslim_harappa + gujarati-patel_harappa + singapore-indian-d_sgvp @ 2.839591
7 bengali_harappa + haryana-jatt_harappa + haryana-jatt_harappa + nepali_harappa @ 2.879023
8 burusho_hgdp + kerala-muslim_harappa + sindhi_hgdp + singapore-indian-d_sgvp @ 2.886234
9 burusho_hgdp + kashmiri-pahari_harappa + lambadi_metspalu + singapore-indian-d_sgvp @ 2.887963
10 bengali_harappa + haryana-jatt_harappa + nepali_harappa + rajasthani-brahmin_harappa @ 2.897404
11 burusho_hgdp + gujarati-a_hapmap + gujarati-muslim_harappa + singapore-indian-d_sgvp @ 2.898920
12 burusho_hgdp + kerala_harappa + meena_metspalu + singapore-indian-d_sgvp @ 2.923920
13 burusho_hgdp + sindhi_hgdp + singapore-indian-d_sgvp + sinhalese_harappa @ 2.931779
14 andhra-pradesh_harappa + burusho_hgdp + punjabi-arain_xing + singapore-indian-d_sgvp @ 2.932989
15 burusho_hgdp + karnataka_harappa + punjabi-arain_xing + singapore-indian-d_sgvp @ 2.936734
16 andhra-pradesh_harappa + burusho_hgdp + sindhi_hgdp + singapore-indian-d_sgvp @ 2.939651
17 burusho_hgdp + gujarati-a_1000genomes + gujarati-muslim_harappa + singapore-indian-d_sgvp @ 2.945054
18 burusho_hgdp + sindhi_hgdp + singapore-indian-d_sgvp + tharu_metspalu @ 2.957127
19 burusho_hgdp + sindhi_hgdp + singapore-indian-d_sgvp + south-african-indian_harappa @ 2.960705
20 burusho_hgdp + gujarati-patel_harappa + nepali_harappa + singapore-indian-d_sgvp @ 2.967565
Kaazi
01-18-2021, 12:05 PM
Half Bahun Half White. SNPs used in this evaluation: 169819.
Admix Results (sorted):
# Population Percent
1 NE-Euro 31.96
2 Baloch 23.83
3 S-Indian 17.67
4 Mediterranean 16.35
5 Caucasian 4.56
6 NE-Asian 2.13
7 Siberian 1.47
8 Beringian 1.16
9 W-African 0.46
10 Papuan 0.42
Single Population Sharing:
# Population (source) Distance
1 haryana-jatt (harappa) 23.59
2 tajik (yunusbayev) 27.63
3 romanian-b (behar) 28.3
4 punjabi-jatt-sikh (harappa) 28.8
5 hungarian (behar) 29.33
6 pashtun (harappa) 29.46
7 nepalese-a (xing) 29.75
8 slovenian (xing) 30.1
9 french (hgdp) 30.25
10 romanian-a (behar) 30.36
11 utahn-white (1000genomes) 30.42
12 n-european (xing) 30.65
13 pathan (hgdp) 30.81
14 utahn-white (hapmap) 30.85
15 british (1000genomes) 30.96
16 burusho (hgdp) 31.01
17 punjabi-khatri (harappa) 31.02
18 orcadian (hgdp) 31.5
19 kashmiri (harappa) 31.62
20 up-muslim (harappa) 31.66
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 50.6% nepalese-a (xing) + 49.4% utahn-white (1000genomes) @ 1.57
2 51% nepalese-a (xing) + 49% british (1000genomes) @ 1.63
3 50.7% nepalese-a (xing) + 49.3% n-european (xing) @ 2.04
4 51.4% nepalese-a (xing) + 48.6% orcadian (hgdp) @ 2.1
5 51.9% utahn-white (1000genomes) + 48.1% up-brahmin (harappa) @ 3.04
6 51.5% british (1000genomes) + 48.5% up-brahmin (harappa) @ 3.1
7 50.1% orcadian (hgdp) + 49.9% up-muslim (harappa) @ 3.16
8 51% orcadian (hgdp) + 49% up-brahmin (harappa) @ 3.21
9 51.2% orcadian (hgdp) + 48.8% punjabi (harappa) @ 3.31
10 52% utahn-white (hapmap) + 48% punjabi-ramgarhia (harappa) @ 3.33
11 52.2% n-european (xing) + 47.8% punjabi-ramgarhia (harappa) @ 3.4
12 51.7% n-european (xing) + 48.3% up-brahmin (harappa) @ 3.41
13 50.9% orcadian (hgdp) + 49.1% singapore-indian-c (sgvp) @ 3.43
14 50.8% orcadian (hgdp) + 49.2% punjabi-brahmin (harappa) @ 3.44
15 55.5% utahn-white (hapmap) + 44.5% gujarati-b (hapmap) @ 3.51
16 51.4% utahn-white (hapmap) + 48.6% singapore-indian-c (sgvp) @ 3.53
17 51% orcadian (hgdp) + 49% kashmiri-pandit (reich) @ 3.6
18 52% orcadian (hgdp) + 48% kashmiri-pahari (harappa) @ 3.61
19 51.5% orcadian (hgdp) + 48.5% punjabi-ramgarhia (harappa) @ 3.61
20 52.5% utahn-white (hapmap) + 47.5% kashmiri-pahari (harappa) @ 3.67
4-oracles
Admix Results (sorted):
# Population Percent
1 NE-Euro 31.96
2 Baloch 23.83
3 S-Indian 17.67
4 Mediterranean 16.35
5 Caucasian 4.56
6 NE-Asian 2.13
7 Siberian 1.47
8 Beringian 1.16
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 singapore-indian-d_sgvp @ 15.733554
2 haryana-jatt_harappa @ 25.778214
3 tajik_yunusbayev @ 30.375589
4 nepali_harappa @ 30.454062
5 rajasthani-brahmin_harappa @ 30.657112
6 romanian-b_behar @ 31.446152
7 punjabi-jatt-sikh_harappa @ 31.543028
8 pashtun_harappa @ 32.308990
9 hungarian_behar @ 32.340118
10 nepalese-a_xing @ 32.570560
11 pushtikar-brahmin_harappa @ 32.744583
12 serbian_harappa @ 32.866646
13 french_hgdp @ 32.949364
14 slovenian_xing @ 33.205387
15 utahn-white_1000genomes @ 33.290062
16 n-european_xing @ 33.622566
17 romanian-a_behar @ 33.667213
18 pathan_hgdp @ 33.794132
19 utahn-white_hapmap @ 33.812813
20 british_1000genomes @ 33.841599
Using 2 populations approximation:
1 50% nepalese-a_xing +50% utahn-white_1000genomes @ 1.607628
Using 3 populations approximation:
1 50% nepalese-a_xing +25% utahn-white_1000genomes +25% utahn-white_hapmap @ 1.516175
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++
1 british_1000genomes + n-european_xing + nepalese-a_xing + nepalese-a_xing @ 1.438849
2 british_1000genomes + nepalese-a_xing + nepalese-a_xing + utahn-white_hapmap @ 1.453654
3 nepalese-a_xing + nepalese-a_xing + utahn-white_1000genomes + utahn-white_hapmap @ 1.516175
4 n-european_xing + nepalese-a_xing + nepalese-a_xing + orcadian_hgdp @ 1.542651
5 british_1000genomes + nepalese-a_xing + nepalese-a_xing + utahn-white_1000genomes @ 1.570392
6 nepalese-a_xing + nepalese-a_xing + orcadian_hgdp + utahn-white_1000genomes @ 1.589242
7 nepalese-a_xing + nepalese-a_xing + utahn-white_1000genomes + utahn-white_1000genomes @ 1.607628
8 n-european_xing + nepalese-a_xing + nepalese-a_xing + utahn-white_1000genomes @ 1.663075
9 nepalese-a_xing + nepalese-a_xing + orcadian_hgdp + utahn-white_hapmap @ 1.683346
10 nepalese-a_xing + nepalese-a_xing + utahn-white_hapmap + utahn-white_hapmap @ 1.692025
11 burusho_hgdp + n-european_xing + orcadian_hgdp + oriya_harappa @ 1.694332
12 british_1000genomes + british_1000genomes + nepalese-a_xing + nepalese-a_xing @ 1.741778
13 burusho_hgdp + orcadian_hgdp + oriya_harappa + utahn-white_hapmap @ 1.839487
14 british_1000genomes + nepalese-a_xing + up-brahmin_harappa + utahn-white_hapmap @ 1.857998
15 burusho_hgdp + oriya_harappa + utahn-white_hapmap + utahn-white_hapmap @ 1.875122
16 bihari-brahmin_harappa + n-european_xing + nepalese-a_xing + orcadian_hgdp @ 1.875316
17 n-european_xing + nepalese-a_xing + nepalese-a_xing + utahn-white_hapmap @ 1.881577
18 n-european_xing + nepalese-a_xing + orcadian_hgdp + up-brahmin_harappa @ 1.882271
19 bihari-brahmin_harappa + nepalese-a_xing + utahn-white_hapmap + utahn-white_hapmap @ 1.883922
20 nepalese-a_xing + orcadian_hgdp + up-brahmin_harappa + utahn-white_1000genomes @ 1.890482
Half Bahun Half White. SNPs used in this evaluation: 169819.
Quite accurate, impressive
1 50.6% nepalese-a (xing) + 49.4% utahn-white (1000genomes) @ 1.57
2 51% nepalese-a (xing) + 49% british (1000genomes) @ 1.63
3 50.7% nepalese-a (xing) + 49.3% n-european (xing) @ 2.04
I wonder what they look like, Mongoloid admixture is negligible in this one.
Kaazi
01-19-2021, 12:42 AM
Quite accurate, impressive
1 50.6% nepalese-a (xing) + 49.4% utahn-white (1000genomes) @ 1.57
2 51% nepalese-a (xing) + 49% british (1000genomes) @ 1.63
3 50.7% nepalese-a (xing) + 49.3% n-european (xing) @ 2.04
I wonder what they look like, Mongoloid admixture is negligible in this one.
Bahun means "Brahmin" in Nepali language and Brahmins rarely show Mongoloid admix in the face.
Such Half Brahmin half White very often tend to look Euro or heavy Euro but some can look full South Asian as well such as Amrita Acharia (Irri) from Game of Thrones.
Kaazi
01-22-2021, 01:09 PM
Thanks to @vbnetkhio for providing these samples.
UJ2687014 Nepal Chokhopani C1 SNPs used in this evaluation: 182239.
Admix Results (sorted):
# Population Percent
1 NE-Asian 70.84
2 S-Indian 10.43
3 Siberian 9.58
4 SE-Asian 3.85
5 W-African 1.75
6 Papuan 1.12
7 NE-Euro 1.02
8 Mediterranean 0.68
9 Baloch 0.49
10 American 0.22
11 Beringian 0.01
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 8.02
2 tibet (simonson) 9.1
3 nysha (reich) 11.82
4 japanese (hgdp) 11.9
5 naxi (hgdp) 12.42
6 naga (metspalu) 12.44
7 aonaga (reich) 13.75
8 yi (hgdp) 13.96
9 han-nchina (hgdp) 14.38
10 xibo (hgdp) 15.11
11 mongola (hgdp) 18.35
12 chinese-beijing (1000genomes) 18.74
13 chinese-beijing (hapmap) 18.87
14 hezhen (hgdp) 25.19
15 nepalese-b (xing) 25.25
16 japanese (xing) 25.62
17 daur (hgdp) 26.28
18 tujia (hgdp) 27.68
19 chinese-american (hapmap) 28.18
20 japanese (1000genomes) 29.59
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 86.1% tibet (simonson) + 13.9% khasi (chaubey) @ 2.52
2 90.8% tibet (simonson) + 9.2% bonda (chaubey) @ 2.54
3 90.8% tibet (simonson) + 9.2% juang (chaubey) @ 2.57
4 91% tibet (simonson) + 9% kharia (chaubey) @ 2.83
5 82.5% nysha (reich) + 17.5% khasi (chaubey) @ 2.93
6 91% tibet (simonson) + 9% savara (chaubey) @ 3.02
7 91.1% tibet (simonson) + 8.9% ho (chaubey) @ 3.04
8 79.7% tibet (simonson) + 20.3% garo (chaubey) @ 3.04
9 89.2% tibet (simonson) + 10.8% onge (reich) @ 3.13
10 89% tibet (simonson) + 11% great-andamanese (reich) @ 3.24
11 90.8% tibet (simonson) + 9.2% sahariya (reich) @ 3.29
12 81% tibet (simonson) + 19% burmanese (chaubey) @ 3.4
13 91.3% tibet (simonson) + 8.7% santhal (reich) @ 3.41
14 91.3% tibet (simonson) + 8.7% asur (chaubey) @ 3.42
15 86% nysha (reich) + 14% great-andamanese (reich) @ 3.64
16 85.3% naga (metspalu) + 14.7% great-andamanese (reich) @ 3.73
17 91.2% tibet (simonson) + 8.8% gond (metspalu) @ 3.87
18 91.4% tibet (simonson) + 8.6% nihali (metspalu) @ 3.87
19 88.5% nysha (reich) + 11.5% juang (chaubey) @ 3.93
20 88.6% nysha (reich) + 11.4% bonda (chaubey) @ 3.94
4-oracles
Admix Results (sorted):
# Population Percent
1 NE-Asian 70.84
2 S-Indian 10.43
3 Siberian 9.58
4 SE-Asian 3.85
5 W-African 1.75
6 Papuan 1.12
7 NE-Euro 1.02
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 tu_hgdp @ 8.710248
2 tibet_simonson @ 9.696393
3 nysha_reich @ 12.584772
4 japanese_hgdp @ 12.798946
5 naxi_hgdp @ 13.124308
6 naga_metspalu @ 13.304166
7 aonaga_reich @ 14.678108
8 yi_hgdp @ 14.739681
9 han-nchina_hgdp @ 15.392739
10 xibo_hgdp @ 16.072763
11 mongola_hgdp @ 19.433996
12 chinese-beijing_1000genomes @ 19.872683
13 chinese-beijing_hapmap @ 19.996017
14 hezhen_hgdp @ 26.442476
15 nepalese-b_xing @ 27.221672
16 japanese_xing @ 27.301210
17 daur_hgdp @ 27.599304
18 tujia_hgdp @ 29.114653
19 chinese-american_hapmap @ 29.620564
20 japanese_1000genomes @ 31.555832
Using 2 populations approximation:
1 50% tibet_simonson +50% tu_hgdp @ 7.643052
Using 3 populations approximation:
1 50% naga_metspalu +25% nepalese-b_xing +25% xibo_hgdp @ 3.255038
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++
1 japanese_hgdp + nepalese-b_xing + nysha_reich + tibet_simonson @ 2.731415
2 naxi_hgdp + nepalese-b_xing + nysha_reich + tibet_simonson @ 2.748163
3 naxi_hgdp + nepalese-b_xing + tibet_simonson + tibet_simonson @ 2.779126
4 japanese_hgdp + naga_metspalu + nepalese-b_xing + tibet_simonson @ 2.803554
5 nepalese-b_xing + tibet_simonson + tibet_simonson + yi_hgdp @ 2.866421
6 aonaga_reich + japanese_hgdp + nepalese-b_xing + tibet_simonson @ 2.915528
7 nepalese-b_xing + nysha_reich + tibet_simonson + yi_hgdp @ 2.918817
8 japanese_hgdp + nepalese-b_xing + tibet_simonson + tibet_simonson @ 2.938689
9 han-nchina_hgdp + nepalese-b_xing + tibet_simonson + tibet_simonson @ 2.984201
10 aonaga_reich + naxi_hgdp + nepalese-b_xing + tibet_simonson @ 2.987953
11 naga_metspalu + naxi_hgdp + nepalese-b_xing + tibet_simonson @ 2.992200
12 japanese_hgdp + nepalese-b_xing + nysha_reich + nysha_reich @ 3.148545
13 aonaga_reich + naga_metspalu + nepalese-b_xing + xibo_hgdp @ 3.226954
14 naga_metspalu + nepalese-b_xing + tibet_simonson + tu_hgdp @ 3.235080
15 aonaga_reich + nepalese-b_xing + tibet_simonson + yi_hgdp @ 3.236496
16 naga_metspalu + naga_metspalu + nepalese-b_xing + xibo_hgdp @ 3.255038
17 naga_metspalu + nepalese-b_xing + tibet_simonson + yi_hgdp @ 3.257933
18 chinese-beijing_1000genomes + nepalese-b_xing + tibet_simonson + tibet_simonson @ 3.285801
19 chinese-beijing_hapmap + nepalese-b_xing + tibet_simonson + tibet_simonson @ 3.288570
20 aonaga_reich + aonaga_reich + nepalese-b_xing + xibo_hgdp @ 3.289103
Kaazi
01-22-2021, 01:35 PM
Has a very good SNP count. First of the Kusunda result.
KW1404874 Kusunda01 SNPs used in this evaluation: 177414. Mixture of half Nihali + half Naga.
Admix Results (sorted):
# Population Percent
1 NE-Asian 41.68
2 S-Indian 37.25
3 SE-Asian 6.95
4 Baloch 5.71
5 Siberian 5.27
6 Papuan 2.38
7 American 0.68
8 San 0.08
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 15.3
2 garo (chaubey) 24.99
3 nepalese-c (xing) 26.47
4 burmanese (chaubey) 27.31
5 khasi (chaubey) 28.1
6 great-andamanese (reich) 34.17
7 onge (reich) 36.46
8 uyghur (hgdp) 37.85
9 hazara (hgdp) 38.82
10 bengali (harappa) 40.92
11 mongola (hgdp) 42.42
12 tu (hgdp) 42.56
13 naxi (hgdp) 42.75
14 kyrgyz (hodoglugil) 42.84
15 xibo (hgdp) 43.09
16 kyrgyz (xing) 43.15
17 yi (hgdp) 43.28
18 kazakh (harappa) 44.06
19 uzbek (behar) 44.13
20 tibet (simonson) 45.56
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 50.8% naga (metspalu) + 49.2% nihali (metspalu) @ 1.45
2 50.3% aonaga (reich) + 49.7% nihali (metspalu) @ 2.14
3 51.3% nysha (reich) + 48.7% nihali (metspalu) @ 2.67
4 50.3% sahariya (reich) + 49.7% nysha (reich) @ 2.96
5 51.7% nysha (reich) + 48.3% asur (chaubey) @ 3.07
6 52.9% tibet (simonson) + 47.1% asur (chaubey) @ 3.3
7 52.5% tibet (simonson) + 47.5% nihali (metspalu) @ 3.31
8 51.3% sahariya (reich) + 48.7% aonaga (reich) @ 3.34
9 50.8% aonaga (reich) + 49.2% asur (chaubey) @ 3.56
10 50.3% gond (metspalu) + 49.7% naga (metspalu) @ 3.68
11 51.8% nysha (reich) + 48.2% santhal (reich) @ 3.77
12 51.3% naga (metspalu) + 48.7% asur (chaubey) @ 3.78
13 53% tibet (simonson) + 47% santhal (reich) @ 3.81
14 50.8% gond (metspalu) + 49.2% aonaga (reich) @ 3.83
15 50.8% sahariya (reich) + 49.2% naga (metspalu) @ 3.91
16 50.2% nysha (reich) + 49.8% gond (metspalu) @ 4.09
17 50.9% tibet (simonson) + 49.1% sahariya (reich) @ 4.17
18 54.2% tu (hgdp) + 45.8% nihali (metspalu) @ 4.27
19 50.8% aonaga (reich) + 49.2% santhal (reich) @ 4.28
20 51.3% naga (metspalu) + 48.7% santhal (reich) @ 4.44
4-oracles
Admix Results (sorted):
# Population Percent
1 NE-Asian 41.68
2 S-Indian 37.25
3 SE-Asian 6.95
4 Baloch 5.71
5 Siberian 5.27
6 Papuan 2.38
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-b_xing @ 16.541437
2 garo_chaubey @ 26.768900
3 nepalese-c_xing @ 28.692474
4 brahmin-uttaranchal_metspalu @ 29.140160
5 burmanese_chaubey @ 29.316324
6 khasi_chaubey @ 29.687414
7 great-andamanese_reich @ 36.245647
8 onge_reich @ 38.410248
9 uyghur_hgdp @ 41.529549
10 hazara_hgdp @ 42.416924
11 bengali_harappa @ 44.021484
12 mongola_hgdp @ 46.038326
13 tu_hgdp @ 46.225758
14 kyrgyz_hodoglugil @ 46.343960
15 naxi_hgdp @ 46.361507
16 kyrgyz_xing @ 46.695007
17 xibo_hgdp @ 46.778374
18 yi_hgdp @ 46.941490
19 kazakh_harappa @ 47.701824
20 uzbek_behar @ 48.189232
Using 2 populations approximation:
1 50% naga_metspalu +50% nihali_metspalu @ 1.709089
Using 3 populations approximation:
1 50% nysha_reich +25% savara_chaubey +25% tamil-vishwakarma_harappa @ 1.333310
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++
1 naga_metspalu + nysha_reich + savara_chaubey + tamil-vishwakarma_harappa @ 1.086998
2 ap-madiga_xing + naga_metspalu + nysha_reich + savara_chaubey @ 1.099684
3 aonaga_reich + madiga_reich + nysha_reich + savara_chaubey @ 1.107764
4 madiga_reich + naga_metspalu + nysha_reich + savara_chaubey @ 1.113818
5 aonaga_reich + nysha_reich + savara_chaubey + tamil-vishwakarma_harappa @ 1.136835
6 aonaga_reich + ap-madiga_xing + nysha_reich + savara_chaubey @ 1.149644
7 kharia_chaubey + nysha_reich + nysha_reich + tamil-vishwakarma_harappa @ 1.195283
8 aonaga_reich + ap-madiga_xing + kharia_chaubey + tibet_simonson @ 1.198893
9 aonaga_reich + bhil_reich + nysha_reich + savara_chaubey @ 1.213588
10 ap-madiga_xing + kharia_chaubey + nysha_reich + nysha_reich @ 1.216572
11 ho_chaubey + naga_metspalu + nysha_reich + tamil-vishwakarma_harappa @ 1.252883
12 aonaga_reich + nysha_reich + sakilli_chaubey + savara_chaubey @ 1.262379
13 aonaga_reich + naga_metspalu + savara_chaubey + tn-dalit_xing @ 1.267172
14 ap-madiga_xing + ho_chaubey + naga_metspalu + nysha_reich @ 1.283226
15 naga_metspalu + nysha_reich + sakilli_chaubey + savara_chaubey @ 1.283581
16 aonaga_reich + madiga_reich + naga_metspalu + savara_chaubey @ 1.299164
17 bhil_reich + naga_metspalu + nysha_reich + savara_chaubey @ 1.299188
18 dhurwa_metspalu + nysha_reich + nysha_reich + satnami_reich @ 1.302855
19 aonaga_reich + kurumba_reich + nysha_reich + savara_chaubey @ 1.310858
20 aonaga_reich + kharia_chaubey + madiga_reich + tibet_simonson @ 1.311405
Kaazi
01-22-2021, 04:04 PM
Gonna be honest here, i find nepalese people(mostly the indic/tibetan mix) to be the most interesting for now.
THeyre like the uzbeks/turkics of south asia/india and many are apparently hindu-practicing people with darker skin and wider nostrils(and sometimes thicker lips.....though trait 2 and 3 arent found in all nepalese), but slanted eyes and influences of both tibetans and hindu indic nepalese people.
Love seeing those half indic, half tibet results
Well, Nepali mixture is not homogeneous like Uzbeks/Turkics. Ppl can go crazy observing the genetic diversity in Nepal. Guys said Nepal doesn't look organic state genetically. See this Nepalese PCA plot:
https://www.theapricity.com/forum/showthread.php?339289-Nepali-PCA-Plot-with-references-to-East-Asia-and-South-Asia
Kaazi
01-23-2021, 02:13 PM
Kusunda
Kusunda are former hunter gatherer tribals from Nepal who speak an isolate language. They live in lower hills and their population size is only 274 folks per 2011 census. But we can see they can hold some genetic importance being an old native tribal population.
KW1404874 Kusunda01 SNPs used in this evaluation: 177414.
Admix Results (sorted):
# Population Percent
1 NE-Asian 41.68
2 S-Indian 37.25
3 SE-Asian 6.95
4 Baloch 5.71
5 Siberian 5.27
6 Papuan 2.38
7 American 0.68
8 San 0.08
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 15.3
2 garo (chaubey) 24.99
3 nepalese-c (xing) 26.47
4 burmanese (chaubey) 27.31
5 khasi (chaubey) 28.1
6 great-andamanese (reich) 34.17
7 onge (reich) 36.46
8 uyghur (hgdp) 37.85
9 hazara (hgdp) 38.82
10 bengali (harappa) 40.92
11 mongola (hgdp) 42.42
12 tu (hgdp) 42.56
13 naxi (hgdp) 42.75
14 kyrgyz (hodoglugil) 42.84
15 xibo (hgdp) 43.09
16 kyrgyz (xing) 43.15
17 yi (hgdp) 43.28
18 kazakh (harappa) 44.06
19 uzbek (behar) 44.13
20 tibet (simonson) 45.56
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 50.8% naga (metspalu) + 49.2% nihali (metspalu) @ 1.45
2 50.3% aonaga (reich) + 49.7% nihali (metspalu) @ 2.14
3 51.3% nysha (reich) + 48.7% nihali (metspalu) @ 2.67
4 50.3% sahariya (reich) + 49.7% nysha (reich) @ 2.96
5 51.7% nysha (reich) + 48.3% asur (chaubey) @ 3.07
6 52.9% tibet (simonson) + 47.1% asur (chaubey) @ 3.3
7 52.5% tibet (simonson) + 47.5% nihali (metspalu) @ 3.31
8 51.3% sahariya (reich) + 48.7% aonaga (reich) @ 3.34
9 50.8% aonaga (reich) + 49.2% asur (chaubey) @ 3.56
10 50.3% gond (metspalu) + 49.7% naga (metspalu) @ 3.68
11 51.8% nysha (reich) + 48.2% santhal (reich) @ 3.77
12 51.3% naga (metspalu) + 48.7% asur (chaubey) @ 3.78
13 53% tibet (simonson) + 47% santhal (reich) @ 3.81
14 50.8% gond (metspalu) + 49.2% aonaga (reich) @ 3.83
15 50.8% sahariya (reich) + 49.2% naga (metspalu) @ 3.91
16 50.2% nysha (reich) + 49.8% gond (metspalu) @ 4.09
17 50.9% tibet (simonson) + 49.1% sahariya (reich) @ 4.17
18 54.2% tu (hgdp) + 45.8% nihali (metspalu) @ 4.27
19 50.8% aonaga (reich) + 49.2% santhal (reich) @ 4.28
20 51.3% naga (metspalu) + 48.7% santhal (reich) @ 4.44
4-oracles
Admix Results (sorted):
# Population Percent
1 NE-Asian 41.68
2 S-Indian 37.25
3 SE-Asian 6.95
4 Baloch 5.71
5 Siberian 5.27
6 Papuan 2.38
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-b_xing @ 16.541437
2 garo_chaubey @ 26.768900
3 nepalese-c_xing @ 28.692474
4 brahmin-uttaranchal_metspalu @ 29.140160
5 burmanese_chaubey @ 29.316324
6 khasi_chaubey @ 29.687414
7 great-andamanese_reich @ 36.245647
8 onge_reich @ 38.410248
9 uyghur_hgdp @ 41.529549
10 hazara_hgdp @ 42.416924
11 bengali_harappa @ 44.021484
12 mongola_hgdp @ 46.038326
13 tu_hgdp @ 46.225758
14 kyrgyz_hodoglugil @ 46.343960
15 naxi_hgdp @ 46.361507
16 kyrgyz_xing @ 46.695007
17 xibo_hgdp @ 46.778374
18 yi_hgdp @ 46.941490
19 kazakh_harappa @ 47.701824
20 uzbek_behar @ 48.189232
Using 2 populations approximation:
1 50% naga_metspalu +50% nihali_metspalu @ 1.709089
Using 3 populations approximation:
1 50% nysha_reich +25% savara_chaubey +25% tamil-vishwakarma_harappa @ 1.333310
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++
1 naga_metspalu + nysha_reich + savara_chaubey + tamil-vishwakarma_harappa @ 1.086998
2 ap-madiga_xing + naga_metspalu + nysha_reich + savara_chaubey @ 1.099684
3 aonaga_reich + madiga_reich + nysha_reich + savara_chaubey @ 1.107764
4 madiga_reich + naga_metspalu + nysha_reich + savara_chaubey @ 1.113818
5 aonaga_reich + nysha_reich + savara_chaubey + tamil-vishwakarma_harappa @ 1.136835
6 aonaga_reich + ap-madiga_xing + nysha_reich + savara_chaubey @ 1.149644
7 kharia_chaubey + nysha_reich + nysha_reich + tamil-vishwakarma_harappa @ 1.195283
8 aonaga_reich + ap-madiga_xing + kharia_chaubey + tibet_simonson @ 1.198893
9 aonaga_reich + bhil_reich + nysha_reich + savara_chaubey @ 1.213588
10 ap-madiga_xing + kharia_chaubey + nysha_reich + nysha_reich @ 1.216572
11 ho_chaubey + naga_metspalu + nysha_reich + tamil-vishwakarma_harappa @ 1.252883
12 aonaga_reich + nysha_reich + sakilli_chaubey + savara_chaubey @ 1.262379
13 aonaga_reich + naga_metspalu + savara_chaubey + tn-dalit_xing @ 1.267172
14 ap-madiga_xing + ho_chaubey + naga_metspalu + nysha_reich @ 1.283226
15 naga_metspalu + nysha_reich + sakilli_chaubey + savara_chaubey @ 1.283581
16 aonaga_reich + madiga_reich + naga_metspalu + savara_chaubey @ 1.299164
17 bhil_reich + naga_metspalu + nysha_reich + savara_chaubey @ 1.299188
18 dhurwa_metspalu + nysha_reich + nysha_reich + satnami_reich @ 1.302855
19 aonaga_reich + kurumba_reich + nysha_reich + savara_chaubey @ 1.310858
20 aonaga_reich + kharia_chaubey + madiga_reich + tibet_simonson @ 1.311405
RU2554825 Kusunda1.DG SNPs used in this evaluation: 177390.
Admix Results (sorted):
# Population Percent
1 NE-Asian 43.36
2 S-Indian 29.89
3 Baloch 12.39
4 Siberian 6.03
5 SE-Asian 5.09
6 Papuan 1.46
7 NE-Euro 1.04
8 American 0.73
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 9.86
2 nepalese-c (xing) 23.24
3 garo (chaubey) 24.93
4 burmanese (chaubey) 26.14
5 khasi (chaubey) 30.52
6 uyghur (hgdp) 31.58
7 hazara (hgdp) 32.47
8 mongola (hgdp) 37.4
9 kyrgyz (hodoglugil) 37.63
10 tu (hgdp) 37.87
11 kyrgyz (xing) 37.94
12 xibo (hgdp) 38.19
13 naxi (hgdp) 38.85
14 kazakh (harappa) 38.87
15 uzbek (behar) 38.89
16 great-andamanese (reich) 39.2
17 yi (hgdp) 39.46
18 hezhen (hgdp) 41.08
19 tibet (simonson) 41.31
20 japanese (hgdp) 41.51
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 58.9% tu (hgdp) + 41.1% sakilli (chaubey) @ 2.09
2 58.3% tu (hgdp) + 41.7% kamsali (reich) @ 2.11
3 58.6% tu (hgdp) + 41.4% chamar (metspalu) @ 2.19
4 59.3% tu (hgdp) + 40.7% madiga (reich) @ 2.25
5 58.7% tu (hgdp) + 41.3% bhil (reich) @ 2.49
6 58.6% tu (hgdp) + 41.4% tamil-vishwakarma (harappa) @ 2.5
7 56.3% japanese (hgdp) + 43.7% chamar (metspalu) @ 2.54
8 58.8% tu (hgdp) + 41.2% ap-madiga (xing) @ 2.61
9 56.7% tu (hgdp) + 43.3% chenchu (metspalu) @ 2.61
10 56% japanese (hgdp) + 44% kamsali (reich) @ 2.64
11 56.7% japanese (hgdp) + 43.3% sakilli (chaubey) @ 2.69
12 54.5% japanese (hgdp) + 45.5% chenchu (metspalu) @ 2.83
13 58.8% tu (hgdp) + 41.2% vysya (reich) @ 2.84
14 56.3% japanese (hgdp) + 43.7% tamil-vishwakarma (harappa) @ 2.92
15 52.3% naga (metspalu) + 47.7% tharu (reich) @ 2.98
16 56.6% japanese (hgdp) + 43.4% vysya (reich) @ 3.08
17 56.5% japanese (hgdp) + 43.5% bhil (reich) @ 3.08
18 58.3% tu (hgdp) + 41.7% piramalai-kallar (metspalu) @ 3.17
19 58.1% tu (hgdp) + 41.9% singapore-indian-a (sgvp) @ 3.17
20 56% japanese (hgdp) + 44% piramalai-kallar (metspalu) @ 3.22
4-oracles
Admix Results (sorted):
# Population Percent
1 NE-Asian 43.36
2 S-Indian 29.89
3 Baloch 12.39
4 Siberian 6.03
5 SE-Asian 5.09
6 Papuan 1.46
7 NE-Euro 1.04
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-b_xing @ 10.591619
2 nepalese-c_xing @ 25.037987
3 brahmin-uttaranchal_metspalu @ 25.223686
4 garo_chaubey @ 26.558666
5 burmanese_chaubey @ 27.819061
6 khasi_chaubey @ 32.250828
7 uyghur_hgdp @ 34.587833
8 hazara_hgdp @ 35.357479
9 mongola_hgdp @ 40.491596
10 kyrgyz_hodoglugil @ 40.523365
11 kyrgyz_xing @ 40.869286
12 tu_hgdp @ 41.054134
13 xibo_hgdp @ 41.378048
14 great-andamanese_reich @ 41.758453
15 kazakh_harappa @ 41.913326
16 naxi_hgdp @ 42.027683
17 uzbek_behar @ 42.335258
18 yi_hgdp @ 42.669800
19 hezhen_hgdp @ 44.146954
20 tibet_simonson @ 44.545376
Using 2 populations approximation:
1 50% naga_metspalu +50% tharu_reich @ 3.934510
Using 3 populations approximation:
1 50% nepalese-b_xing +25% vysya_reich +25% yi_hgdp @ 2.244398
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++
1 bengali_harappa + naga_metspalu + naga_metspalu + satnami_reich @ 2.124491
2 naxi_hgdp + nepalese-b_xing + nepalese-b_xing + vysya_reich @ 2.149692
3 nepalese-b_xing + nepalese-b_xing + vysya_reich + yi_hgdp @ 2.244398
4 aonaga_reich + bengali_harappa + naga_metspalu + satnami_reich @ 2.251220
5 bengali_harappa + naga_metspalu + nysha_reich + satnami_reich @ 2.287564
6 ap-mala_xing + bengali_harappa + japanese_hapmap + xibo_hgdp @ 2.293677
7 brahmin-uttaranchal_metspalu + mala_reich + tibet_simonson + yi_hgdp @ 2.298992
8 ap-mala_xing + bengali_harappa + japanese_1000genomes + xibo_hgdp @ 2.301034
9 ap-mala_xing + brahmin-uttaranchal_metspalu + tibet_simonson + yi_hgdp @ 2.350910
10 brahmin-uttaranchal_metspalu + mala_reich + naxi_hgdp + tibet_simonson @ 2.370391
11 great-andamanese_reich + gujarati-a_hapmap + nysha_reich + nysha_reich @ 2.370552
12 ap-mala_xing + brahmin-uttaranchal_metspalu + naxi_hgdp + tibet_simonson @ 2.374258
13 brahmin-uttaranchal_metspalu + tibet_simonson + tn-dalit_xing + yi_hgdp @ 2.420203
14 aonaga_reich + bengali_harappa + chenchu_metspalu + japanese_hgdp @ 2.448239
15 great-andamanese_reich + gujarati-patel_harappa + nysha_reich + nysha_reich @ 2.450765
16 bengali_harappa + japanese_hapmap + madiga_reich + xibo_hgdp @ 2.459385
17 bengali_harappa + japanese_1000genomes + madiga_reich + xibo_hgdp @ 2.469405
18 aonaga_reich + bengali_harappa + nysha_reich + satnami_reich @ 2.472948
19 aonaga_reich + aonaga_reich + bengali_harappa + satnami_reich @ 2.481462
20 naxi_hgdp + nepalese-b_xing + nepalese-b_xing + singapore-indian-a_sgvp @ 2.488997
UX8624015 Kusunda02 SNPs used in this evaluation: 56352.
Admix Results (sorted):
# Population Percent
1 NE-Asian 43.34
2 S-Indian 29.01
3 Baloch 11.73
4 Siberian 5.08
5 SE-Asian 4.49
6 Papuan 2.03
7 NE-Euro 1.39
8 American 1.36
9 Mediterranean 1.24
10 Beringian 0.34
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 9.02
2 nepalese-c (xing) 23.37
3 garo (chaubey) 24.97
4 burmanese (chaubey) 26.16
5 khasi (chaubey) 30.82
6 uyghur (hgdp) 31.16
7 hazara (hgdp) 32.27
8 mongola (hgdp) 37.18
9 tu (hgdp) 37.39
10 kyrgyz (hodoglugil) 37.42
11 kyrgyz (xing) 37.78
12 xibo (hgdp) 37.91
13 naxi (hgdp) 38.47
14 uzbek (behar) 38.54
15 kazakh (harappa) 38.6
16 yi (hgdp) 39.06
17 great-andamanese (reich) 39.4
18 tibet (simonson) 40.84
19 hezhen (hgdp) 41.01
20 japanese (hgdp) 41.13
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 59.1% tu (hgdp) + 40.9% chamar (metspalu) @ 2.39
2 59.3% tu (hgdp) + 40.7% bhil (reich) @ 2.59
3 58.8% tu (hgdp) + 41.2% kamsali (reich) @ 2.65
4 59.4% tu (hgdp) + 40.6% sakilli (chaubey) @ 2.65
5 57.3% tu (hgdp) + 42.7% chenchu (metspalu) @ 2.8
6 59.9% tu (hgdp) + 40.1% madiga (reich) @ 2.85
7 52.8% naga (metspalu) + 47.2% tharu (reich) @ 2.9
8 59.1% tu (hgdp) + 40.9% tamil-vishwakarma (harappa) @ 3.04
9 59.4% tu (hgdp) + 40.6% ap-madiga (xing) @ 3.18
10 52.2% aonaga (reich) + 47.8% tharu (reich) @ 3.31
11 58.2% tu (hgdp) + 41.8% kol (metspalu) @ 3.42
12 51.8% bengali (harappa) + 48.2% aonaga (reich) @ 3.46
13 59.4% tu (hgdp) + 40.6% vysya (reich) @ 3.46
14 58.6% tu (hgdp) + 41.4% singapore-indian-a (sgvp) @ 3.46
15 56.8% japanese (hgdp) + 43.2% chamar (metspalu) @ 3.47
16 58.8% tu (hgdp) + 41.2% piramalai-kallar (metspalu) @ 3.47
17 58.4% tu (hgdp) + 41.6% hallaki (reich) @ 3.52
18 50.7% bengali (harappa) + 49.3% nysha (reich) @ 3.53
19 51.2% bengali (harappa) + 48.8% naga (metspalu) @ 3.58
20 60.6% tu (hgdp) + 39.4% tn-dalit (xing) @ 3.64
JL9604692 Kusunda03
Admix Results (sorted):
# Population Percent
1 NE-Asian 35.01
2 S-Indian 31.11
3 Baloch 13.93
4 Siberian 4.98
5 Caucasian 3.71
6 SE-Asian 3.19
7 Papuan 2.93
8 Beringian 2.65
9 NE-Euro 1.25
10 Mediterranean 0.82
11 American 0.4
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 15.84
2 nepalese-b (xing) 16.68
3 khasi (chaubey) 28.51
4 uyghur (hgdp) 29.07
5 garo (chaubey) 29.26
6 hazara (hgdp) 29.53
7 burmanese (chaubey) 29.64
8 great-andamanese (reich) 33.1
9 bengali (harappa) 34.3
10 uzbek (behar) 34.58
11 onge (reich) 37.36
12 kyrgyz (xing) 37.39
13 kyrgyz (hodoglugil) 37.48
14 kazakh (harappa) 37.69
15 up-muslim (harappa) 37.85
16 burusho (hgdp) 38.12
17 bihari-muslim (harappa) 38.17
18 nepalese-a (xing) 38.17
19 bengali-brahmin (harappa) 38.23
20 cochin-jew (behar) 38.99
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 67.8% nepalese-b (xing) + 32.2% bengali (harappa) @ 4.11
2 58.8% bengali (harappa) + 41.2% tibet (simonson) @ 4.32
3 50.7% tamil-nadar (harappa) + 49.3% tu (hgdp) @ 4.37
4 50.2% hallaki (reich) + 49.8% tu (hgdp) @ 4.4
5 71.5% nepalese-b (xing) + 28.5% kerala-christian (harappa) @ 4.41
6 70.7% nepalese-b (xing) + 29.3% cochin-jew (behar) @ 4.42
7 50.1% tu (hgdp) + 49.9% kurumba (metspalu) @ 4.52
8 60.1% bengali (harappa) + 39.9% nysha (reich) @ 4.52
9 71% nepalese-b (xing) + 29% kerala-muslim (harappa) @ 4.59
10 50.4% tu (hgdp) + 49.6% piramalai-kallar (metspalu) @ 4.64
11 71.4% nepalese-b (xing) + 28.6% up (harappa) @ 4.65
12 72% nepalese-b (xing) + 28% tamil (harappa) @ 4.65
13 50.2% tu (hgdp) + 49.8% singapore-indian-a (sgvp) @ 4.7
14 71.7% nepalese-b (xing) + 28.3% ap-hyderabad (harappa) @ 4.71
15 52% tharu (reich) + 48% tu (hgdp) @ 4.71
16 61% bengali (harappa) + 39% aonaga (reich) @ 4.74
17 60.6% bengali (harappa) + 39.4% naga (metspalu) @ 4.74
18 51.2% sinhalese (harappa) + 48.8% tu (hgdp) @ 4.74
19 54% tharu (reich) + 46% tibet (simonson) @ 4.78
20 50.3% kol (metspalu) + 49.7% tu (hgdp) @ 4.82
GA4015848 Kusunda04 SNPs used in this evaluation: 56301.
Admix Results (sorted):
# Population Percent
1 NE-Asian 50.88
2 S-Indian 21.8
3 Siberian 8.15
4 Baloch 7.13
5 SE-Asian 3.3
6 Papuan 2.74
7 NE-Euro 2.69
8 American 1.92
9 Mediterranean 0.87
10 Caucasian 0.39
11 Pygmy 0.12
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 5.56
2 garo (chaubey) 24.03
3 burmanese (chaubey) 25.7
4 tu (hgdp) 27.16
5 mongola (hgdp) 27.34
6 xibo (hgdp) 27.62
7 naxi (hgdp) 29.12
8 yi (hgdp) 29.95
9 tibet (simonson) 30.43
10 uyghur (hgdp) 30.7
11 japanese (hgdp) 31.11
12 hezhen (hgdp) 31.85
13 daur (hgdp) 32.4
14 hazara (hgdp) 32.59
15 nepalese-c (xing) 32.62
16 nysha (reich) 33.25
17 kyrgyz (hodoglugil) 33.73
18 han-nchina (hgdp) 33.78
19 naga (metspalu) 34.25
20 kyrgyz (xing) 34.57
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 86.2% nepalese-b (xing) + 13.8% mongola (hgdp) @ 3.47
2 86.8% nepalese-b (xing) + 13.2% xibo (hgdp) @ 3.7
3 88.4% nepalese-b (xing) + 11.6% hezhen (hgdp) @ 3.7
4 88.6% nepalese-b (xing) + 11.4% daur (hgdp) @ 3.73
5 66.4% tibet (simonson) + 33.6% tharu (reich) @ 3.84
6 63.4% tibet (simonson) + 36.6% bengali (harappa) @ 3.86
7 70.7% tu (hgdp) + 29.3% bhil (reich) @ 4.03
8 91.8% nepalese-b (xing) + 8.2% oroqen (hgdp) @ 4.14
9 89.3% nepalese-b (xing) + 10.7% japanese (hgdp) @ 4.17
10 70.6% tu (hgdp) + 29.4% chamar (metspalu) @ 4.18
11 88.8% nepalese-b (xing) + 11.2% naxi (hgdp) @ 4.23
12 89.2% nepalese-b (xing) + 10.8% yi (hgdp) @ 4.25
13 71.6% tu (hgdp) + 28.4% tn-dalit (xing) @ 4.25
14 91.3% nepalese-b (xing) + 8.7% tujia (hgdp) @ 4.29
15 92% nepalese-b (xing) + 8% miao (hgdp) @ 4.3
16 70.6% tu (hgdp) + 29.4% tamil-vishwakarma (harappa) @ 4.31
17 91.7% nepalese-b (xing) + 8.3% chinese (xing) @ 4.32
18 91.6% nepalese-b (xing) + 8.4% han (hgdp) @ 4.32
19 67.1% tibet (simonson) + 32.9% satnami (reich) @ 4.33
20 70.9% tu (hgdp) + 29.1% north-kannadi (chaubey) @ 4.33
QY2444861 Kusunda05 SNPs used in this evaluation: 56162.
Admix Results (sorted):
# Population Percent
1 NE-Asian 44.62
2 S-Indian 27.63
3 Baloch 9.79
4 SE-Asian 6.58
5 Siberian 6.37
6 Papuan 2.62
7 American 0.84
8 San 0.55
9 NE-Euro 0.49
10 Beringian 0.41
11 E-African 0.1
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 8.74
2 garo (chaubey) 22.05
3 burmanese (chaubey) 23.48
4 nepalese-c (xing) 26.13
5 khasi (chaubey) 29.91
6 uyghur (hgdp) 31.36
7 hazara (hgdp) 32.58
8 mongola (hgdp) 34.71
9 tu (hgdp) 35.15
10 xibo (hgdp) 35.46
11 naxi (hgdp) 35.86
12 yi (hgdp) 36.45
13 kyrgyz (hodoglugil) 36.59
14 kyrgyz (xing) 36.99
15 kazakh (harappa) 38.21
16 japanese (hgdp) 38.61
17 hezhen (hgdp) 38.62
18 tibet (simonson) 38.91
19 uzbek (behar) 39.1
20 daur (hgdp) 39.15
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 59.5% japanese (hgdp) + 40.5% bhil (reich) @ 2.43
2 59.7% japanese (hgdp) + 40.3% sakilli (chaubey) @ 2.5
3 59.4% japanese (hgdp) + 40.6% tamil-vishwakarma (harappa) @ 2.56
4 59.4% japanese (hgdp) + 40.6% chamar (metspalu) @ 2.62
5 57.7% japanese (hgdp) + 42.3% chenchu (metspalu) @ 2.69
6 59.1% japanese (hgdp) + 40.9% kamsali (reich) @ 2.74
7 60% japanese (hgdp) + 40% madiga (reich) @ 2.75
8 59.6% japanese (hgdp) + 40.4% ap-madiga (xing) @ 2.92
9 60% japanese (hgdp) + 40% hakkipikki (metspalu) @ 3.15
10 60.7% japanese (hgdp) + 39.3% tn-dalit (xing) @ 3.16
11 62.3% tu (hgdp) + 37.7% madiga (reich) @ 3.17
12 59.9% japanese (hgdp) + 40.1% north-kannadi (chaubey) @ 3.19
13 59.8% japanese (hgdp) + 40.2% kurumba (reich) @ 3.23
14 61.8% tu (hgdp) + 38.2% bhil (reich) @ 3.24
15 60.3% tu (hgdp) + 39.7% satnami (reich) @ 3.28
16 62% tu (hgdp) + 38% sakilli (chaubey) @ 3.33
17 62.7% tu (hgdp) + 37.3% ap-mala (xing) @ 3.36
18 61.9% tu (hgdp) + 38.1% ap-madiga (xing) @ 3.38
19 60.8% japanese (hgdp) + 39.2% mala (reich) @ 3.41
20 60.5% japanese (hgdp) + 39.5% ap-mala (xing) @ 3.45
ZC1654172 Kusunda07 SNPs used in this evaluation: 56330.
Admix Results (sorted):
# Population Percent
1 NE-Asian 57.83
2 S-Indian 20
3 Siberian 6.53
4 SE-Asian 6.08
5 Baloch 5.53
6 Papuan 2.12
7 NE-Euro 0.64
8 San 0.57
9 American 0.52
10 E-African 0.17
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 10.78
2 tu (hgdp) 21.08
3 naxi (hgdp) 22.24
4 yi (hgdp) 23.06
5 garo (chaubey) 23.5
6 xibo (hgdp) 23.97
7 tibet (simonson) 24.6
8 mongola (hgdp) 24.67
9 japanese (hgdp) 24.75
10 burmanese (chaubey) 25.74
11 han-nchina (hgdp) 26.92
12 nysha (reich) 26.92
13 naga (metspalu) 27.6
14 chinese-beijing (1000genomes) 28.35
15 chinese-beijing (hapmap) 28.41
16 aonaga (reich) 28.75
17 hezhen (hgdp) 30.47
18 daur (hgdp) 31.33
19 tujia (hgdp) 31.39
20 chinese-american (hapmap) 31.78
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 68% nepalese-b (xing) + 32% naxi (hgdp) @ 2.92
2 68.8% nepalese-b (xing) + 31.2% yi (hgdp) @ 2.95
3 71.1% naga (metspalu) + 28.9% satnami (reich) @ 3.17
4 71.6% naga (metspalu) + 28.4% gond (metspalu) @ 3.19
5 71.3% naga (metspalu) + 28.7% sahariya (reich) @ 3.23
6 70.7% naga (metspalu) + 29.3% tharu (reich) @ 3.3
7 77.8% tu (hgdp) + 22.2% ap-mala (xing) @ 3.32
8 78% tu (hgdp) + 22% mala (reich) @ 3.35
9 78% tu (hgdp) + 22% tn-dalit (xing) @ 3.38
10 73.4% nepalese-b (xing) + 26.6% chinese-beijing (1000genomes) @ 3.48
11 77.5% tu (hgdp) + 22.5% kurumba (reich) @ 3.54
12 77.6% tu (hgdp) + 22.4% madiga (reich) @ 3.58
13 77.4% tu (hgdp) + 22.6% ap-madiga (xing) @ 3.64
14 77.6% tu (hgdp) + 22.4% hakkipikki (metspalu) @ 3.67
15 77.5% tu (hgdp) + 22.5% north-kannadi (chaubey) @ 3.73
16 70.5% aonaga (reich) + 29.5% sahariya (reich) @ 3.75
17 72.5% nepalese-b (xing) + 27.5% han-nchina (hgdp) @ 3.81
18 77.3% tu (hgdp) + 22.7% tamil-vishwakarma (harappa) @ 3.85
19 70.8% nepalese-b (xing) + 29.2% japanese (hgdp) @ 3.87
20 71.9% nysha (reich) + 28.1% sahariya (reich) @ 3.91
4-oracles
Admix Results (sorted):
# Population Percent
1 NE-Asian 57.83
2 S-Indian 20.00
3 Siberian 6.53
4 SE-Asian 6.08
5 Baloch 5.53
6 Papuan 2.12
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-b_xing @ 11.506866
2 tu_hgdp @ 22.882145
3 naxi_hgdp @ 24.028122
4 garo_chaubey @ 24.745848
5 yi_hgdp @ 24.887571
6 xibo_hgdp @ 25.831770
7 tibet_simonson @ 26.443947
8 mongola_hgdp @ 26.482990
9 japanese_hgdp @ 26.815876
10 burmanese_chaubey @ 27.102413
11 nysha_reich @ 28.897264
12 han-nchina_hgdp @ 29.097458
13 naga_metspalu @ 29.692167
14 chinese-beijing_1000genomes @ 30.551210
15 chinese-beijing_hapmap @ 30.597200
16 aonaga_reich @ 30.885740
17 hezhen_hgdp @ 32.340969
18 daur_hgdp @ 33.236187
19 tujia_hgdp @ 33.518429
20 chinese-american_hapmap @ 33.910275
Using 2 populations approximation:
1 50% naxi_hgdp +50% nepalese-b_xing @ 7.023200
Using 3 populations approximation:
1 50% han-nchina_hgdp +25% mala_reich +25% tibet_simonson @ 1.889308
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++
1 nysha_reich + satnami_reich + tibet_simonson + yi_hgdp @ 1.383428
2 naga_metspalu + naxi_hgdp + satnami_reich + tibet_simonson @ 1.535262
3 naxi_hgdp + nysha_reich + satnami_reich + tibet_simonson @ 1.578408
4 naga_metspalu + satnami_reich + tibet_simonson + yi_hgdp @ 1.643483
5 satnami_reich + tibet_simonson + tibet_simonson + yi_hgdp @ 1.694487
6 aonaga_reich + ap-mala_xing + japanese_hgdp + tu_hgdp @ 1.713711
7 bhil_reich + japanese_hgdp + naxi_hgdp + nysha_reich @ 1.719094
8 bhil_reich + naga_metspalu + tibet_simonson + yi_hgdp @ 1.724702
9 ap-mala_xing + japanese_hgdp + naga_metspalu + tu_hgdp @ 1.726517
10 aonaga_reich + naxi_hgdp + satnami_reich + tibet_simonson @ 1.740228
11 aonaga_reich + satnami_reich + tibet_simonson + yi_hgdp @ 1.750487
12 aonaga_reich + bhil_reich + naxi_hgdp + tu_hgdp @ 1.750620
13 japanese_hgdp + naxi_hgdp + nysha_reich + tamil-vishwakarma_harappa @ 1.783264
14 han-nchina_hgdp + mala_reich + naga_metspalu + tu_hgdp @ 1.795416
15 aonaga_reich + ap-madiga_xing + naxi_hgdp + tu_hgdp @ 1.797710
16 han-nchina_hgdp + japanese_hgdp + mala_reich + nysha_reich @ 1.803678
17 han-nchina_hgdp + japanese_hgdp + nysha_reich + tn-dalit_xing @ 1.814732
18 ap-mala_xing + han-nchina_hgdp + naga_metspalu + tu_hgdp @ 1.820297
19 han-nchina_hgdp + japanese_hgdp + tibet_simonson + tn-dalit_xing @ 1.831478
20 gond_metspalu + nysha_reich + tibet_simonson + yi_hgdp @ 1.841013
FN8544430 Kusunda10 SNPs used in this evaluation: 55936.
Admix Results (sorted):
# Population Percent
1 NE-Asian 45.87
2 S-Indian 27.86
3 Baloch 11.98
4 Siberian 6.56
5 SE-Asian 3.39
6 Papuan 1.47
7 Caucasian 1.02
8 NE-Euro 0.59
9 Mediterranean 0.55
10 E-African 0.33
11 American 0.23
12 Pygmy 0.14
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 6.91
2 nepalese-c (xing) 25.3
3 garo (chaubey) 25.53
4 burmanese (chaubey) 26.84
5 uyghur (hgdp) 30.98
6 hazara (hgdp) 31.99
7 khasi (chaubey) 33.21
8 mongola (hgdp) 34.79
9 tu (hgdp) 35
10 xibo (hgdp) 35.4
11 naxi (hgdp) 36.43
12 kyrgyz (hodoglugil) 36.5
13 kyrgyz (xing) 36.99
14 yi (hgdp) 37.13
15 kazakh (harappa) 38.08
16 tibet (simonson) 38.15
17 hezhen (hgdp) 38.61
18 uzbek (behar) 38.76
19 japanese (hgdp) 38.82
20 daur (hgdp) 39.05
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 61.5% tu (hgdp) + 38.5% kamsali (reich) @ 2.47
2 62.1% tu (hgdp) + 37.9% sakilli (chaubey) @ 2.53
3 61.7% tu (hgdp) + 38.3% tamil-vishwakarma (harappa) @ 2.65
4 61.8% tu (hgdp) + 38.2% chamar (metspalu) @ 2.67
5 60% tu (hgdp) + 40% chenchu (metspalu) @ 2.7
6 62% tu (hgdp) + 38% vysya (reich) @ 2.74
7 56% naga (metspalu) + 44% sinhalese (harappa) @ 2.75
8 55.5% naga (metspalu) + 44.5% tharu (reich) @ 2.8
9 52.4% nysha (reich) + 47.6% bengali (harappa) @ 2.89
10 62.4% tu (hgdp) + 37.6% madiga (reich) @ 2.91
11 58.2% tibet (simonson) + 41.8% sinhalese (harappa) @ 2.93
12 56.1% nysha (reich) + 43.9% tharu (reich) @ 2.96
13 56.4% naga (metspalu) + 43.6% tamil-nadar (harappa) @ 3.02
14 61.4% tu (hgdp) + 38.6% piramalai-kallar (metspalu) @ 3.03
15 57.7% tibet (simonson) + 42.3% tharu (reich) @ 3.03
16 58.9% tibet (simonson) + 41.1% tamil-nadu-scheduled-caste (metspalu) @ 3.05
17 58.7% tibet (simonson) + 41.3% dusadh (metspalu) @ 3.06
18 62% tu (hgdp) + 38% ap-madiga (xing) @ 3.08
19 54.9% aonaga (reich) + 45.1% tharu (reich) @ 3.09
20 61.9% tu (hgdp) + 38.1% bhil (reich) @ 3.1
4-oracles
Admix Results (sorted):
# Population Percent
1 NE-Asian 45.87
2 S-Indian 27.86
3 Baloch 11.98
4 Siberian 6.56
5 SE-Asian 3.39
6 Papuan 1.47
7 Caucasian 1.02
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-b_xing @ 7.405330
2 garo_chaubey @ 27.076548
3 nepalese-c_xing @ 27.226765
4 brahmin-uttaranchal_metspalu @ 27.347483
5 burmanese_chaubey @ 28.440470
6 uyghur_hgdp @ 33.847092
7 hazara_hgdp @ 34.752487
8 khasi_chaubey @ 35.080135
9 mongola_hgdp @ 37.650993
10 tu_hgdp @ 37.932926
11 xibo_hgdp @ 38.349506
12 kyrgyz_hodoglugil @ 39.246769
13 naxi_hgdp @ 39.377525
14 kyrgyz_xing @ 39.773449
15 yi_hgdp @ 40.112133
16 kazakh_harappa @ 40.999748
17 tibet_simonson @ 41.145954
18 hezhen_hgdp @ 41.461735
19 daur_hgdp @ 41.906780
20 japanese_hgdp @ 42.031212
Using 2 populations approximation:
1 50% aonaga_reich +50% bengali_harappa @ 3.739470
Using 3 populations approximation:
1 50% nepalese-b_xing +25% nysha_reich +25% sinhalese_harappa @ 3.170711
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++
1 aonaga_reich + brahmin-uttaranchal_metspalu + japanese_hgdp + mala_reich @ 1.465595
2 aonaga_reich + brahmin-uttaranchal_metspalu + japanese_hgdp + tn-dalit_xing @ 1.472940
3 brahmin-uttaranchal_metspalu + japanese_hgdp + naga_metspalu + tn-dalit_xing @ 1.483663
4 brahmin-uttaranchal_metspalu + japanese_hgdp + madiga_reich + nysha_reich @ 1.572508
5 ap-mala_xing + brahmin-uttaranchal_metspalu + japanese_hgdp + nysha_reich @ 1.575924
6 brahmin-uttaranchal_metspalu + japanese_hgdp + mala_reich + naga_metspalu @ 1.578932
7 aonaga_reich + ap-mala_xing + brahmin-uttaranchal_metspalu + japanese_hgdp @ 1.605509
8 brahmin-uttaranchal_metspalu + japanese_hgdp + nysha_reich + tn-dalit_xing @ 1.626220
9 brahmin-uttaranchal_metspalu + japanese_hgdp + mala_reich + nysha_reich @ 1.628637
10 ap-madiga_xing + brahmin-uttaranchal_metspalu + japanese_hgdp + nysha_reich @ 1.629503
11 brahmin-uttaranchal_metspalu + japanese_hgdp + kurumba_reich + nysha_reich @ 1.633749
12 japanese_hgdp + madiga_reich + nepalese-c_xing + nysha_reich @ 1.675001
13 aonaga_reich + brahmin-uttaranchal_metspalu + japanese_hgdp + madiga_reich @ 1.680491
14 aonaga_reich + japanese_hgdp + nepalese-c_xing + tn-dalit_xing @ 1.693781
15 japanese_hgdp + nepalese-c_xing + nysha_reich + tn-dalit_xing @ 1.703012
16 aonaga_reich + japanese_hgdp + mala_reich + nepalese-c_xing @ 1.716579
17 aonaga_reich + brahmin-uttaranchal_metspalu + japanese_hgdp + kurumba_reich @ 1.717016
18 ap-mala_xing + brahmin-uttaranchal_metspalu + japanese_hgdp + naga_metspalu @ 1.721825
19 brahmin-uttaranchal_metspalu + japanese_hgdp + madiga_reich + naga_metspalu @ 1.734020
20 ap-madiga_xing + japanese_hgdp + nepalese-c_xing + nysha_reich @ 1.743168
DK4612034 Kusunda11 SNPs used in this evaluation: 56192.
Admix Results (sorted):
# Population Percent
1 NE-Asian 44.64
2 S-Indian 29.34
3 Baloch 12.99
4 SE-Asian 4.4
5 Siberian 3.87
6 Mediterranean 1.42
7 Caucasian 1.31
8 Papuan 0.86
9 NE-Euro 0.63
10 Beringian 0.47
11 American 0.08
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 8.92
2 nepalese-c (xing) 23.53
3 garo (chaubey) 25.66
4 burmanese (chaubey) 26.85
5 uyghur (hgdp) 31.89
6 khasi (chaubey) 31.93
7 hazara (hgdp) 33
8 tu (hgdp) 37.12
9 mongola (hgdp) 37.62
10 xibo (hgdp) 38.16
11 naxi (hgdp) 38.19
12 kyrgyz (hodoglugil) 38.71
13 yi (hgdp) 38.77
14 kyrgyz (xing) 39.12
15 uzbek (behar) 39.35
16 kazakh (harappa) 39.94
17 tibet (simonson) 40.53
18 great-andamanese (reich) 40.75
19 japanese (hgdp) 40.93
20 hezhen (hgdp) 41.71
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 53.8% naga (metspalu) + 46.2% sinhalese (harappa) @ 2.84
2 53.3% naga (metspalu) + 46.7% tharu (reich) @ 2.84
3 54.4% naga (metspalu) + 45.6% lodi (reich) @ 2.86
4 54.6% naga (metspalu) + 45.4% hallaki (reich) @ 2.88
5 54.4% naga (metspalu) + 45.6% dusadh (metspalu) @ 2.89
6 59.2% tu (hgdp) + 40.8% kamsali (reich) @ 2.97
7 59.8% tu (hgdp) + 40.2% sakilli (chaubey) @ 2.99
8 52.7% aonaga (reich) + 47.3% tharu (reich) @ 2.99
9 53.9% naga (metspalu) + 46.1% up-scheduled-caste (metspalu) @ 3.1
10 54.5% naga (metspalu) + 45.5% kol (metspalu) @ 3.12
11 59.7% tu (hgdp) + 40.3% vysya (reich) @ 3.12
12 57.7% tu (hgdp) + 42.3% chenchu (metspalu) @ 3.13
13 54.6% naga (metspalu) + 45.4% tamil-nadu-scheduled-caste (metspalu) @ 3.13
14 54.3% naga (metspalu) + 45.7% tamil-nadar (harappa) @ 3.14
15 54.9% naga (metspalu) + 45.1% singapore-indian-a (sgvp) @ 3.15
16 59.5% tu (hgdp) + 40.5% chamar (metspalu) @ 3.15
17 54.9% naga (metspalu) + 45.1% kurumba (metspalu) @ 3.24
18 54.1% han-nchina (hgdp) + 45.9% chenchu (metspalu) @ 3.26
19 51.2% bengali (harappa) + 48.8% aonaga (reich) @ 3.34
20 59.1% tu (hgdp) + 40.9% piramalai-kallar (metspalu) @ 3.36
UT1436096 Kusunda12 SNPs used in this evaluation: 56400.
Admix Results (sorted):
# Population Percent
1 NE-Asian 59.14
2 S-Indian 20.92
3 Siberian 7.22
4 Baloch 5.37
5 Papuan 2.6
6 SE-Asian 2.55
7 American 1.52
8 NE-Euro 0.45
9 Beringian 0.23
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 10.5
2 tu (hgdp) 21.37
3 tibet (simonson) 23.43
4 naxi (hgdp) 23.58
5 xibo (hgdp) 24.19
6 yi (hgdp) 24.57
7 mongola (hgdp) 25.09
8 japanese (hgdp) 25.41
9 nysha (reich) 25.78
10 naga (metspalu) 26.85
11 garo (chaubey) 26.98
12 han-nchina (hgdp) 27.67
13 aonaga (reich) 27.8
14 burmanese (chaubey) 29.3
15 chinese-beijing (1000genomes) 29.87
16 chinese-beijing (hapmap) 29.95
17 hezhen (hgdp) 30.41
18 daur (hgdp) 31.19
19 tujia (hgdp) 34.15
20 chinese-american (hapmap) 34.55
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 72.7% nysha (reich) + 27.3% satnami (reich) @ 2.68
2 74.6% tibet (simonson) + 25.4% satnami (reich) @ 2.79
3 73.2% nysha (reich) + 26.8% gond (metspalu) @ 2.88
4 72.3% nysha (reich) + 27.7% tharu (reich) @ 2.91
5 75.1% tibet (simonson) + 24.9% gond (metspalu) @ 3
6 71.9% naga (metspalu) + 28.1% satnami (reich) @ 3.01
7 72.8% naga (metspalu) + 27.2% bhil (reich) @ 3.03
8 70.7% aonaga (reich) + 29.3% tharu (reich) @ 3.07
9 71.5% naga (metspalu) + 28.5% tharu (reich) @ 3.08
10 71.2% aonaga (reich) + 28.8% satnami (reich) @ 3.13
11 72.9% naga (metspalu) + 27.1% kurumba (reich) @ 3.21
12 71.6% naga (metspalu) + 28.4% chenchu (metspalu) @ 3.23
13 72.7% naga (metspalu) + 27.3% chamar (metspalu) @ 3.24
14 71.7% aonaga (reich) + 28.3% gond (metspalu) @ 3.29
15 72.4% naga (metspalu) + 27.6% gond (metspalu) @ 3.31
16 72.7% naga (metspalu) + 27.3% tamil-vishwakarma (harappa) @ 3.32
17 73% naga (metspalu) + 27% north-kannadi (chaubey) @ 3.33
18 73% naga (metspalu) + 27% hakkipikki (metspalu) @ 3.35
19 76% tibet (simonson) + 24% ap-mala (xing) @ 3.38
20 72.9% naga (metspalu) + 27.1% sakilli (chaubey) @ 3.38
PD9001917 Kusunda15 SNPs used in this evaluation: 56340.
Admix Results (sorted):
# Population Percent
1 NE-Asian 44.46
2 S-Indian 37.92
3 Baloch 5.41
4 SE-Asian 4.95
5 Siberian 4.41
6 Papuan 2.2
7 San 0.55
8 Beringian 0.06
9 Pygmy 0.04
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 14.05
2 garo (chaubey) 26.63
3 nepalese-c (xing) 28.05
4 burmanese (chaubey) 29.24
5 khasi (chaubey) 31.29
6 great-andamanese (reich) 36.92
7 onge (reich) 39.05
8 uyghur (hgdp) 39.26
9 hazara (hgdp) 40.35
10 tu (hgdp) 41.44
11 naxi (hgdp) 41.86
12 mongola (hgdp) 42.17
13 yi (hgdp) 42.45
14 xibo (hgdp) 42.54
15 bengali (harappa) 43.1
16 tibet (simonson) 43.89
17 kyrgyz (hodoglugil) 44.1
18 kyrgyz (xing) 44.53
19 japanese (hgdp) 44.89
20 kazakh (harappa) 45.48
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 52.1% aonaga (reich) + 47.9% nihali (metspalu) @ 1.53
2 53.2% nysha (reich) + 46.8% nihali (metspalu) @ 1.96
3 52.6% naga (metspalu) + 47.4% nihali (metspalu) @ 2.18
4 54.4% nihali (metspalu) + 45.6% japanese (1000genomes) @ 3.44
5 53.7% nysha (reich) + 46.3% asur (chaubey) @ 3.81
6 54.3% tibet (simonson) + 45.7% nihali (metspalu) @ 4.12
7 51.6% naga (metspalu) + 48.4% chenchu (reich) @ 4.16
8 53.7% nysha (reich) + 46.3% santhal (reich) @ 4.27
9 51.1% aonaga (reich) + 48.9% gond (metspalu) @ 4.29
10 51.1% aonaga (reich) + 48.9% chenchu (reich) @ 4.32
11 52.7% aonaga (reich) + 47.3% asur (chaubey) @ 4.36
12 52.2% nysha (reich) + 47.8% gond (metspalu) @ 4.39
13 53.3% naga (metspalu) + 46.7% ap-mala (xing) @ 4.59
14 51.6% naga (metspalu) + 48.4% gond (metspalu) @ 4.68
15 52.1% nysha (reich) + 47.9% chenchu (reich) @ 4.73
16 52.5% naga (metspalu) + 47.5% kurumba (reich) @ 4.84
17 52.7% aonaga (reich) + 47.3% santhal (reich) @ 4.85
18 53.6% naga (metspalu) + 46.4% mala (reich) @ 4.86
19 52.8% aonaga (reich) + 47.2% ap-mala (xing) @ 4.94
20 54.8% tibet (simonson) + 45.2% asur (chaubey) @ 5.02
4-oracles
Admix Results (sorted):
# Population Percent
1 NE-Asian 44.46
2 S-Indian 37.92
3 Baloch 5.41
4 SE-Asian 4.95
5 Siberian 4.41
6 Papuan 2.20
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-b_xing @ 15.296413
2 garo_chaubey @ 28.482897
3 nepalese-c_xing @ 30.385012
4 brahmin-uttaranchal_metspalu @ 30.811926
5 burmanese_chaubey @ 31.325281
6 khasi_chaubey @ 33.068878
7 great-andamanese_reich @ 39.141155
8 onge_reich @ 41.128994
9 uyghur_hgdp @ 43.031067
10 hazara_hgdp @ 44.044590
11 tu_hgdp @ 45.081253
12 naxi_hgdp @ 45.450150
13 mongola_hgdp @ 45.795483
14 yi_hgdp @ 46.086002
15 xibo_hgdp @ 46.226669
16 bengali_harappa @ 46.325558
17 tibet_simonson @ 47.500095
18 kyrgyz_hodoglugil @ 47.685993
19 kyrgyz_xing @ 48.157459
20 japanese_hgdp @ 48.775551
Using 2 populations approximation:
1 50% aonaga_reich +50% nihali_metspalu @ 2.730506
Using 3 populations approximation:
1 50% aonaga_reich +25% kurumba_reich +25% santhal_chaubey @ 2.088294
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++
1 japanese_1000genomes + nihali_metspalu + nihali_metspalu + tibet_simonson @ 1.397168
2 japanese_hapmap + nihali_metspalu + nihali_metspalu + tibet_simonson @ 1.411667
3 bhunjia_metspalu + japanese_1000genomes + mala_reich + tibet_simonson @ 1.418469
4 dhurwa_metspalu + japanese_1000genomes + mala_reich + tibet_simonson @ 1.435478
5 bhunjia_metspalu + japanese_1000genomes + tibet_simonson + tn-dalit_xing @ 1.452657
6 bhunjia_metspalu + japanese_hapmap + mala_reich + tibet_simonson @ 1.454722
7 dhurwa_metspalu + japanese_1000genomes + tibet_simonson + tn-dalit_xing @ 1.466578
8 japanese_xing + nihali_metspalu + nihali_metspalu + nysha_reich @ 1.477381
9 dhurwa_metspalu + japanese_hapmap + mala_reich + tibet_simonson @ 1.485773
10 bhunjia_metspalu + japanese_hapmap + tibet_simonson + tn-dalit_xing @ 1.491803
11 dhurwa_metspalu + japanese_hapmap + tibet_simonson + tn-dalit_xing @ 1.519996
12 ap-mala_xing + bhunjia_metspalu + japanese_1000genomes + tibet_simonson @ 1.604303
13 ap-mala_xing + bhunjia_metspalu + japanese_hapmap + tibet_simonson @ 1.644743
14 japanese_1000genomes + mala_reich + santhal_reich + tibet_simonson @ 1.650917
15 bhunjia_metspalu + japanese_1000genomes + kurumba_reich + tibet_simonson @ 1.663883
16 bhunjia_metspalu + japanese_hapmap + kurumba_reich + tibet_simonson @ 1.690741
17 japanese_hapmap + mala_reich + santhal_reich + tibet_simonson @ 1.690750
18 ap-mala_xing + dhurwa_metspalu + japanese_1000genomes + tibet_simonson @ 1.704293
19 ap-mala_xing + japanese_1000genomes + santhal_reich + tibet_simonson @ 1.748591
20 ap-mala_xing + dhurwa_metspalu + japanese_hapmap + tibet_simonson @ 1.754740
Kaazi
01-24-2021, 03:41 PM
Ancient Mustang farmers
Mebraks_2125BP
ZE2133082 M63.SG_Nepal_Mebrak_2125BP SNPs used in this evaluation: 117238.
Admix Results (sorted):
# Population Percent
1 NE-Asian 70.88
2 Siberian 9.77
3 S-Indian 8.29
4 SE-Asian 4.42
5 W-African 1.73
6 Papuan 1.58
7 Baloch 1.13
8 Beringian 0.78
9 American 0.72
10 NE-Euro 0.49
11 E-African 0.21
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 6.33
2 tibet (simonson) 8.64
3 japanese (hgdp) 10.21
4 naxi (hgdp) 11.26
5 nysha (reich) 11.63
6 naga (metspalu) 11.89
7 yi (hgdp) 12.84
8 han-nchina (hgdp) 13.03
9 aonaga (reich) 13.36
10 xibo (hgdp) 13.91
11 mongola (hgdp) 17.27
12 chinese-beijing (1000genomes) 17.51
13 chinese-beijing (hapmap) 17.69
14 hezhen (hgdp) 24.36
15 japanese (xing) 25.23
16 daur (hgdp) 25.53
17 nepalese-b (xing) 26.32
18 tujia (hgdp) 26.7
19 chinese-american (hapmap) 27.2
20 japanese (1000genomes) 29.17
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 81.2% tibet (simonson) + 18.8% burmanese (chaubey) @ 2.31
2 86.8% tibet (simonson) + 13.2% khasi (chaubey) @ 2.42
3 80.5% tibet (simonson) + 19.5% garo (chaubey) @ 2.48
4 90.6% tibet (simonson) + 9.4% thai (xing) @ 3.11
5 90.5% tibet (simonson) + 9.5% khmer-cambodian (xing) @ 3.37
6 91.8% tibet (simonson) + 8.2% singapore-malay (sgvp) @ 3.52
7 91.6% tibet (simonson) + 8.4% cambodian (hgdp) @ 3.56
8 83.1% nysha (reich) + 16.9% khasi (chaubey) @ 3.63
9 91.8% tibet (simonson) + 8.2% bonda (chaubey) @ 3.66
10 91.8% tibet (simonson) + 8.2% juang (chaubey) @ 3.68
11 76.6% nysha (reich) + 23.4% burmanese (chaubey) @ 3.81
12 90.3% tibet (simonson) + 9.7% onge (reich) @ 3.89
13 90% tibet (simonson) + 10% great-andamanese (reich) @ 3.9
14 93.1% tibet (simonson) + 6.9% iban (xing) @ 4
15 92% tibet (simonson) + 8% kharia (chaubey) @ 4.05
316 75.8% nysha (reich) + 24.2% garo (chaubey) @ 4.21
17 92.1% tibet (simonson) + 7.9% savara (chaubey) @ 4.23
18 92.8% tibet (simonson) + 7.2% samoan (xing) @ 4.24
19 92.2% tibet (simonson) + 7.8% ho (chaubey) @ 4.25
20 86.3% naga (metspalu) + 13.7% great-andamanese (reich) @ 4.3
CQ7558302 M240.SG_Nepal_Mebrak_2125BP SNPs used in this evaluation: 8010.
Population
S-Indian 1.18 Pct
Baloch 2.35 Pct
Caucasian 1.69 Pct
NE-Euro -
SE-Asian 5.6 Pct
Siberian 9.23 Pct
NE-Asian 68.92 Pct
Papuan -
American -
Beringian 0.61 Pct
Mediterranean 3.9 Pct
SW-Asian 2.2 Pct
San -
E-African 0.48 Pct
Pygmy 0.28 Pct
W-African 3.56 Pct
DP1908357 M344.SG_Nepal_Mebrak_2125BP SNPs used in this evaluation: 8408.
Population
S-Indian 9.64 Pct
Baloch -
Caucasian 1.5 Pct
NE-Euro -
SE-Asian 0.26 Pct
Siberian 7.99 Pct
NE-Asian 71.97 Pct
Papuan 6.37 Pct
American 1.3 Pct
Beringian -
Mediterranean -
SW-Asian -
San -
E-African -
Pygmy -
W-African 0.97 Pct
Samdzongs_1500BP
SK7037220 S10.SG_Nepal_Samdzong_1500BP SNPs used in this evaluation: 174437.
Admix Results (sorted):
# Population Percent
1 NE-Asian 68.26
2 Siberian 12.68
3 S-Indian 9.39
4 SE-Asian 4.5
5 Baloch 1.31
6 Mediterranean 1.25
7 Papuan 1.15
8 W-African 0.78
9 American 0.41
10 Beringian 0.18
11 E-African 0.06
12 NE-Euro 0.03
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 8.36
2 tibet (simonson) 10.74
3 xibo (hgdp) 11.73
4 japanese (hgdp) 11.75
5 naxi (hgdp) 12.93
6 nysha (reich) 14.46
7 yi (hgdp) 14.56
8 mongola (hgdp) 14.57
9 naga (metspalu) 15.03
10 han-nchina (hgdp) 15.74
11 aonaga (reich) 16.48
12 chinese-beijing (1000genomes) 19.75
13 chinese-beijing (hapmap) 19.91
14 hezhen (hgdp) 21.39
15 daur (hgdp) 22.48
16 nepalese-b (xing) 24.51
17 tujia (hgdp) 27.72
18 chinese-american (hapmap) 28.28
19 japanese (xing) 28.62
20 han (hgdp) 30.79
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 83.5% tibet (simonson) + 16.5% khasi (chaubey) @ 2.7
2 77.1% tibet (simonson) + 22.9% burmanese (chaubey) @ 3.53
3 76.2% tibet (simonson) + 23.8% garo (chaubey) @ 3.66
4 89.5% tibet (simonson) + 10.5% juang (chaubey) @ 3.89
5 89.5% tibet (simonson) + 10.5% bonda (chaubey) @ 3.9
6 87.1% tibet (simonson) + 12.9% great-andamanese (reich) @ 4.03
7 87.6% tibet (simonson) + 12.4% onge (reich) @ 4.36
8 89.8% tibet (simonson) + 10.2% kharia (chaubey) @ 4.41
9 89.8% tibet (simonson) + 10.2% savara (chaubey) @ 4.44
10 89.9% tibet (simonson) + 10.1% ho (chaubey) @ 4.55
11 89.5% tibet (simonson) + 10.5% sahariya (reich) @ 4.57
12 88.7% tibet (simonson) + 11.3% thai (xing) @ 4.58
13 90.1% tibet (simonson) + 9.9% asur (chaubey) @ 4.94
14 90.2% tibet (simonson) + 9.8% santhal (reich) @ 4.99
15 88.5% tibet (simonson) + 11.5% bengali (harappa) @ 5.01
16 88.7% tibet (simonson) + 11.3% khmer-cambodian (xing) @ 5.07
17 90.2% tibet (simonson) + 9.8% singapore-malay (sgvp) @ 5.08
18 89.9% tibet (simonson) + 10.1% gond (metspalu) @ 5.13
19 89.9% tibet (simonson) + 10.1% cambodian (hgdp) @ 5.14
20 69.4% japanese (hgdp) + 30.6% nepalese-b (xing) @ 5.18
YY2388106 S35.SG_Nepal_Samzdong_1500BP SNPs used in this evaluation: 176302.
Admix Results (sorted):
# Population Percent
1 NE-Asian 73.82
2 Siberian 9.95
3 S-Indian 8.32
4 SE-Asian 3.04
5 SW-Asian 1.42
6 E-African 0.85
7 Beringian 0.74
8 Papuan 0.67
9 Pygmy 0.43
10 American 0.39
11 W-African 0.37
Single Population Sharing:
# Population (source) Distance
1 tibet (simonson) 5.89
2 tu (hgdp) 7.15
3 nysha (reich) 8.68
4 naga (metspalu) 9.26
5 japanese (hgdp) 10.44
6 aonaga (reich) 10.58
7 naxi (hgdp) 12.33
8 han-nchina (hgdp) 12.71
9 yi (hgdp) 13.92
10 xibo (hgdp) 15.14
11 chinese-beijing (1000genomes) 17.97
12 chinese-beijing (hapmap) 18.13
13 mongola (hgdp) 18.86
14 japanese (xing) 22.59
15 hezhen (hgdp) 25.47
16 japanese (1000genomes) 26.51
17 daur (hgdp) 26.59
18 japanese (hapmap) 26.66
19 tujia (hgdp) 28.23
20 nepalese-b (xing) 28.55
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 87.1% tibet (simonson) + 12.9% garo (chaubey) @ 2.21
2 87.9% tibet (simonson) + 12.1% burmanese (chaubey) @ 2.42
3 91.5% tibet (simonson) + 8.5% khasi (chaubey) @ 2.44
4 94.5% tibet (simonson) + 5.5% bonda (chaubey) @ 2.63
5 94.5% tibet (simonson) + 5.5% juang (chaubey) @ 2.66
6 94.6% tibet (simonson) + 5.4% kharia (chaubey) @ 2.85
7 94% tibet (simonson) + 6% thai (xing) @ 2.89
8 93.9% tibet (simonson) + 6.1% khmer-cambodian (xing) @ 2.92
9 94.7% tibet (simonson) + 5.3% savara (chaubey) @ 2.96
10 94.7% tibet (simonson) + 5.3% ho (chaubey) @ 2.96
11 93.7% tibet (simonson) + 6.3% onge (reich) @ 3.05
12 94.7% tibet (simonson) + 5.3% cambodian (hgdp) @ 3.09
13 93.5% tibet (simonson) + 6.5% great-andamanese (reich) @ 3.11
14 94.8% tibet (simonson) + 5.2% singapore-malay (sgvp) @ 3.13
15 94.6% tibet (simonson) + 5.4% sahariya (reich) @ 3.17
16 87.7% nysha (reich) + 12.3% khasi (chaubey) @ 3.17
17 94.9% tibet (simonson) + 5.1% santhal (reich) @ 3.18
18 94.9% tibet (simonson) + 5.1% asur (chaubey) @ 3.2
19 95.6% tibet (simonson) + 4.4% iban (xing) @ 3.36
20 83% nysha (reich) + 17% burmanese (chaubey) @ 3.42
ZH5752435 S40.SG_Nepal_Samdzong_1500BP SNPs used in this evaluation: 17305.
Population
S-Indian 10.76 Pct
Baloch -
Caucasian -
NE-Euro 0.9 Pct
SE-Asian 5.23 Pct
Siberian 12.71 Pct
NE-Asian 64.25 Pct
Papuan 4.02 Pct
American -
Beringian 0.44 Pct
Mediterranean 0.31 Pct
SW-Asian 0.09 Pct
San 1.28 Pct
E-African -
Pygmy -
W-African -
AR8222931 S41.SG_Nepal_Samzdong_1500BP SNPs used in this evaluation: 159605.
Admix Results (sorted):
# Population Percent
1 NE-Asian 66.08
2 Siberian 10.76
3 S-Indian 7.67
4 SE-Asian 3.47
5 NE-Euro 2.2
6 Papuan 1.86
7 Baloch 1.75
8 SW-Asian 1.63
9 American 1.46
10 Caucasian 1.06
11 E-African 1.05
12 Beringian 0.71
13 W-African 0.3
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 8.43
2 tibet (simonson) 12.18
3 xibo (hgdp) 12.18
4 japanese (hgdp) 12.93
5 naxi (hgdp) 13.81
6 mongola (hgdp) 14.83
7 yi (hgdp) 15.27
8 nysha (reich) 15.86
9 naga (metspalu) 16.4
10 han-nchina (hgdp) 16.4
11 aonaga (reich) 17.79
12 chinese-beijing (1000genomes) 20.24
13 chinese-beijing (hapmap) 20.44
14 hezhen (hgdp) 22.05
15 daur (hgdp) 23.07
16 nepalese-b (xing) 23.37
17 tujia (hgdp) 27.81
18 chinese-american (hapmap) 28.35
19 japanese (xing) 29.53
20 han (hgdp) 30.78
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 75.9% tu (hgdp) + 24.1% nepalese-b (xing) @ 4.23
2 81.9% tibet (simonson) + 18.1% khasi (chaubey) @ 4.33
3 92.6% tu (hgdp) + 7.4% tn-dalit (xing) @ 4.74
4 92.4% tu (hgdp) + 7.6% north-kannadi (chaubey) @ 4.74
5 92.4% tu (hgdp) + 7.6% kurumba (reich) @ 4.74
6 92.5% tu (hgdp) + 7.5% hakkipikki (metspalu) @ 4.74
7 92.4% tu (hgdp) + 7.6% bhil (reich) @ 4.75
8 92.6% tu (hgdp) + 7.4% mala (reich) @ 4.75
9 92.4% tu (hgdp) + 7.6% tamil-vishwakarma (harappa) @ 4.77
10 92.4% tu (hgdp) + 7.6% chamar (metspalu) @ 4.79
11 92.4% tu (hgdp) + 7.6% ap-madiga (xing) @ 4.79
12 92.6% tu (hgdp) + 7.4% ap-mala (xing) @ 4.82
13 92.6% tu (hgdp) + 7.4% madiga (reich) @ 4.83
14 92.4% tu (hgdp) + 7.6% kamsali (reich) @ 4.83
15 92.5% tu (hgdp) + 7.5% sakilli (chaubey) @ 4.84
16 92.1% tu (hgdp) + 7.9% chenchu (metspalu) @ 4.84
17 93% tu (hgdp) + 7% paniya (chaubey) @ 4.85
18 92.3% tu (hgdp) + 7.7% naidu (reich) @ 4.86
19 93% tu (hgdp) + 7% pulliyar (metspalu) @ 4.87
20 92.2% tu (hgdp) + 7.8% tamil-nadar (harappa) @ 4.88
Kaazi
01-24-2021, 04:05 PM
NY8605881 Sherpa1.DG SNPs used in this evaluation: 177561.
Admix Results (sorted):
# Population Percent
1 NE-Asian 72.68
2 Siberian 12.14
3 S-Indian 9.01
4 SE-Asian 2.01
5 Papuan 1.55
6 Caucasian 0.95
7 American 0.61
8 Beringian 0.46
9 Baloch 0.43
10 NE-Euro 0.14
11 San 0.01
Single Population Sharing:
# Population (source) Distance
1 tibet (simonson) 6.1
2 tu (hgdp) 8.11
3 nysha (reich) 9.87
4 naga (metspalu) 10.97
5 japanese (hgdp) 11.61
6 aonaga (reich) 12.17
7 xibo (hgdp) 13.71
8 naxi (hgdp) 13.89
9 han-nchina (hgdp) 14.77
10 yi (hgdp) 15.57
11 mongola (hgdp) 17.3
12 chinese-beijing (1000genomes) 19.99
13 chinese-beijing (hapmap) 20.16
14 hezhen (hgdp) 23.52
15 japanese (xing) 24.48
16 daur (hgdp) 24.55
17 nepalese-b (xing) 27.58
18 japanese (1000genomes) 28.32
19 japanese (hapmap) 28.47
20 tujia (hgdp) 29.79
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 93.8% tibet (simonson) + 6.2% juang (chaubey) @ 1.45
2 93.8% tibet (simonson) + 6.2% bonda (chaubey) @ 1.47
3 92.4% tibet (simonson) + 7.6% great-andamanese (reich) @ 1.54
4 93.9% tibet (simonson) + 6.1% savara (chaubey) @ 1.61
5 93.9% tibet (simonson) + 6.1% kharia (chaubey) @ 1.63
6 90.7% tibet (simonson) + 9.3% khasi (chaubey) @ 1.67
7 93.9% tibet (simonson) + 6.1% ho (chaubey) @ 1.67
8 92.6% tibet (simonson) + 7.4% onge (reich) @ 1.68
9 93.7% tibet (simonson) + 6.3% sahariya (reich) @ 1.84
10 94% tibet (simonson) + 6% asur (chaubey) @ 1.91
11 94% tibet (simonson) + 6% santhal (reich) @ 1.92
12 94% tibet (simonson) + 6% nihali (metspalu) @ 2.14
13 93.9% tibet (simonson) + 6.1% gond (metspalu) @ 2.17
14 93.8% tibet (simonson) + 6.2% satnami (reich) @ 2.31
15 93.7% tibet (simonson) + 6.3% tharu (reich) @ 2.36
16 94% tibet (simonson) + 6% chenchu (reich) @ 2.41
17 86.8% tibet (simonson) + 13.2% garo (chaubey) @ 2.44
18 93.3% tibet (simonson) + 6.7% bengali (harappa) @ 2.5
19 94.2% tibet (simonson) + 5.8% kurumba (reich) @ 2.53
20 94.3% tibet (simonson) + 5.7% ap-mala (xing) @ 2.54
TE4053041 Sherpa2.DG SNPs used in this evaluation: 177526.
Admix Results (sorted):
# Population Percent
1 NE-Asian 70.46
2 Siberian 12.73
3 S-Indian 9.68
4 SE-Asian 2.42
5 Papuan 1.51
6 Baloch 1.29
7 Beringian 1.21
8 American 0.49
9 Mediterranean 0.13
10 SW-Asian 0.1
Single Population Sharing:
# Population (source) Distance
1 tibet (simonson) 8.38
2 tu (hgdp) 8.76
3 nysha (reich) 12.19
4 japanese (hgdp) 12.24
5 xibo (hgdp) 12.85
6 naga (metspalu) 13.2
7 naxi (hgdp) 14.15
8 aonaga (reich) 14.47
9 yi (hgdp) 15.84
10 han-nchina (hgdp) 15.92
11 mongola (hgdp) 16.03
12 chinese-beijing (1000genomes) 20.64
13 chinese-beijing (hapmap) 20.82
14 hezhen (hgdp) 22.21
15 daur (hgdp) 23.3
16 nepalese-b (xing) 25.66
17 japanese (xing) 26.74
18 tujia (hgdp) 29.63
19 chinese-american (hapmap) 30.17
20 japanese (1000genomes) 30.58
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 89.7% tibet (simonson) + 10.3% great-andamanese (reich) @ 2.47
2 91.6% tibet (simonson) + 8.4% juang (chaubey) @ 2.69
3 87.4% tibet (simonson) + 12.6% khasi (chaubey) @ 2.71
4 91.7% tibet (simonson) + 8.3% bonda (chaubey) @ 2.71
5 91.4% tibet (simonson) + 8.6% sahariya (reich) @ 2.79
6 91.8% tibet (simonson) + 8.2% savara (chaubey) @ 2.84
7 90.1% tibet (simonson) + 9.9% onge (reich) @ 2.86
8 91.8% tibet (simonson) + 8.2% kharia (chaubey) @ 2.9
9 91.8% tibet (simonson) + 8.2% ho (chaubey) @ 2.9
10 91.9% tibet (simonson) + 8.1% asur (chaubey) @ 3.03
11 91.6% tibet (simonson) + 8.4% gond (metspalu) @ 3.09
12 91.9% tibet (simonson) + 8.1% santhal (reich) @ 3.1
13 91.9% tibet (simonson) + 8.1% nihali (metspalu) @ 3.17
14 90.6% tibet (simonson) + 9.4% bengali (harappa) @ 3.19
15 91.5% tibet (simonson) + 8.5% satnami (reich) @ 3.2
16 91.4% tibet (simonson) + 8.6% tharu (reich) @ 3.21
17 91.8% tibet (simonson) + 8.2% chenchu (reich) @ 3.48
18 91.6% tibet (simonson) + 8.4% sinhalese (harappa) @ 3.49
19 91.3% tibet (simonson) + 8.7% kerala-muslim (harappa) @ 3.5
20 91.5% tibet (simonson) + 8.5% tamil (harappa) @ 3.51
Kaazi
01-29-2021, 06:48 AM
Maharjan - First Jyapu Newar sample. SNPs used in this evaluation: 52583.
Jyapus are low caste agriculturalists from Newar caste system. Genetically, does not much seem to have much difference from upper caste Shrestha Newars.
Admix Results (sorted):
# Population Percent
1 NE-Asian 39.03
2 S-Indian 27.05
3 Baloch 15.58
4 Siberian 9.54
5 SE-Asian 3.47
6 Caucasian 3.29
7 Papuan 0.7
8 NE-Euro 0.38
9 American 0.37
10 San 0.27
11 W-African 0.27
12 E-African 0.04
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 13.75
2 nepalese-c (xing) 19.44
3 uyghur (hgdp) 26.27
4 hazara (hgdp) 26.29
5 garo (chaubey) 27.65
6 burmanese (chaubey) 27.89
7 khasi (chaubey) 30.77
8 uzbek (behar) 32.97
9 kyrgyz (hodoglugil) 33
10 kyrgyz (xing) 33.12
11 kazakh (harappa) 33.93
12 mongola (hgdp) 37.45
13 mongolian (rasmussen) 37.81
14 xibo (hgdp) 38.79
15 great-andamanese (reich) 38.8
16 bengali (harappa) 39.16
17 burusho (hgdp) 40.02
18 tu (hgdp) 40.19
19 hezhen (hgdp) 40.32
20 daur (hgdp) 40.52
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 56% xibo (hgdp) + 44% tamil-vellalar (harappa) @ 3.13
2 56.1% xibo (hgdp) + 43.9% tamil-nadu-scheduled-caste (metspalu) @ 3.39
3 56.2% xibo (hgdp) + 43.8% velama (reich) @ 3.57
4 57.4% xibo (hgdp) + 42.6% vysya (reich) @ 3.59
5 56.5% xibo (hgdp) + 43.5% kurumba (metspalu) @ 3.62
6 56.8% xibo (hgdp) + 43.2% piramalai-kallar (metspalu) @ 3.62
7 56.2% xibo (hgdp) + 43.8% velama (metspalu) @ 3.63
8 56.5% xibo (hgdp) + 43.5% singapore-indian-a (sgvp) @ 3.66
9 56.5% xibo (hgdp) + 43.5% naidu (reich) @ 3.75
10 56% xibo (hgdp) + 44% dusadh (metspalu) @ 3.79
11 56% xibo (hgdp) + 44% lodi (reich) @ 3.8
12 55.8% xibo (hgdp) + 44.2% tamil-nadar (harappa) @ 3.82
13 55.3% xibo (hgdp) + 44.7% sinhalese (harappa) @ 3.91
14 55.3% xibo (hgdp) + 44.7% karnataka (harappa) @ 3.93
15 53.5% tu (hgdp) + 46.5% tamil (harappa) @ 3.95
16 56.2% xibo (hgdp) + 43.8% kol (metspalu) @ 3.99
17 55% xibo (hgdp) + 45% ap-reddy (harappa) @ 4.06
18 56.3% xibo (hgdp) + 43.7% hallaki (reich) @ 4.16
19 55.3% tu (hgdp) + 44.7% velama (reich) @ 4.23
20 55.5% xibo (hgdp) + 44.5% up-scheduled-caste (metspalu) @ 4.26
Kaazi
01-29-2021, 08:41 AM
Newar sample: match of a Tuladhar, occupational caste Newar. So, the oracles shows Bihari/Sri Lankan + Naga.
Admix Results (sorted):
# Population Percent
1 NE-Asian 37.64
2 S-Indian 30.04
3 Baloch 17.55
4 Siberian 4.61
5 NE-Euro 2.49
6 Mediterranean 2.27
7 SE-Asian 2.07
8 American 1.35
9 Caucasian 1.1
10 Beringian 0.76
11 SW-Asian 0.11
Single Population Sharing:
# Population (source) Distance
1 nepalese-b (xing) 15.31
2 nepalese-c (xing) 15.71
3 uyghur (hgdp) 29.07
4 hazara (hgdp) 29.47
5 garo (chaubey) 30.59
6 burmanese (chaubey) 30.82
7 khasi (chaubey) 31.49
8 uzbek (behar) 35.15
9 bengali (harappa) 35.77
10 great-andamanese (reich) 37.37
11 kyrgyz (hodoglugil) 37.62
12 kyrgyz (xing) 37.69
13 kazakh (harappa) 37.78
14 burusho (hgdp) 37.86
15 nepalese-a (xing) 38.16
16 up-muslim (harappa) 38.72
17 bengali-brahmin (harappa) 38.98
18 bihari-muslim (harappa) 39.09
19 kashmiri (harappa) 39.69
20 gujarati-muslim (harappa) 40.09
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 55.4% bihari (harappa) + 44.6% naga (metspalu) @ 2.43
2 54% dharkar (metspalu) + 46% naga (metspalu) @ 2.43
3 55.9% bihari (harappa) + 44.1% aonaga (reich) @ 2.48
4 55.6% up (harappa) + 44.4% aonaga (reich) @ 2.49
5 55.1% up (harappa) + 44.9% naga (metspalu) @ 2.54
6 55.8% sri-lankan (harappa) + 44.2% naga (metspalu) @ 2.58
7 56.2% sri-lankan (harappa) + 43.8% aonaga (reich) @ 2.6
8 54.9% bihari (harappa) + 45.1% nysha (reich) @ 2.61
9 55.3% caribbean-indian (harappa) + 44.7% naga (metspalu) @ 2.61
10 52.2% dharkar (metspalu) + 47.8% tibet (simonson) @ 2.63
11 54.6% up (harappa) + 45.4% nysha (reich) @ 2.71
12 55.8% caribbean-indian (harappa) + 44.2% aonaga (reich) @ 2.75
13 73.9% nepalese-b (xing) + 26.1% gujarati-b (hapmap) @ 2.76
14 54.5% dharkar (metspalu) + 45.5% aonaga (reich) @ 2.76
15 55.3% sri-lankan (harappa) + 44.7% nysha (reich) @ 2.78
16 73.5% nepalese-b (xing) + 26.5% gujarati (harappa) @ 2.81
17 54.5% up-muslim (metspalu) + 45.5% naga (metspalu) @ 2.83
18 73.9% nepalese-b (xing) + 26.1% kerala-nair (harappa) @ 2.84
19 52.1% tharu (metspalu) + 47.9% tibet (simonson) @ 2.86
20 53.9% tharu (metspalu) + 46.1% naga (metspalu) @ 2.87
Kaazi
01-30-2021, 10:51 AM
Rai (Kiranti) SNPs used in this evaluation: 171507.
Admix Results (sorted):
# Population Percent
1 NE-Asian 70.81
2 S-Indian 10.54
3 Siberian 8.97
4 SE-Asian 5.9
5 Papuan 1.48
6 Beringian 1.15
7 American 0.64
8 Baloch 0.3
9 Pygmy 0.21
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 7.53
2 tibet (simonson) 10.14
3 naxi (hgdp) 10.63
4 japanese (hgdp) 10.82
5 yi (hgdp) 12.13
6 nysha (reich) 12.5
7 naga (metspalu) 12.59
8 han-nchina (hgdp) 13.24
9 aonaga (reich) 14.07
10 xibo (hgdp) 15.36
11 chinese-beijing (1000genomes) 17.11
12 chinese-beijing (hapmap) 17.24
13 mongola (hgdp) 18.55
14 nepalese-b (xing) 25.43
15 hezhen (hgdp) 25.59
16 tujia (hgdp) 25.78
17 japanese (xing) 25.82
18 chinese-american (hapmap) 26.27
19 daur (hgdp) 26.81
20 han (hgdp) 29.01
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 81.1% nysha (reich) + 18.9% khasi (chaubey) @ 1.94
2 76.7% tibet (simonson) + 23.3% garo (chaubey) @ 2.26
3 72.6% nysha (reich) + 27.4% garo (chaubey) @ 2.32
4 73.9% nysha (reich) + 26.1% burmanese (chaubey) @ 2.58
5 84.8% naga (metspalu) + 15.2% great-andamanese (reich) @ 2.67
6 79.4% aonaga (reich) + 20.6% khasi (chaubey) @ 2.85
7 78.1% tibet (simonson) + 21.9% burmanese (chaubey) @ 2.88
8 84.5% tibet (simonson) + 15.5% khasi (chaubey) @ 2.93
9 81.3% naga (metspalu) + 18.7% khasi (chaubey) @ 2.97
10 87.5% naga (metspalu) + 12.5% juang (chaubey) @ 3.12
11 87.5% naga (metspalu) + 12.5% bonda (chaubey) @ 3.16
12 85.2% naga (metspalu) + 14.8% onge (reich) @ 3.27
13 87.7% naga (metspalu) + 12.3% savara (chaubey) @ 3.39
14 87.7% naga (metspalu) + 12.3% kharia (chaubey) @ 3.44
15 90% tibet (simonson) + 10% bonda (chaubey) @ 3.5
16 87.8% naga (metspalu) + 12.2% ho (chaubey) @ 3.51
17 90% tibet (simonson) + 10% juang (chaubey) @ 3.55
18 87.4% naga (metspalu) + 12.6% sahariya (reich) @ 3.55
19 83.4% aonaga (reich) + 16.6% great-andamanese (reich) @ 3.69
20 87.8% nysha (reich) + 12.2% bonda (chaubey) @ 3.87
Kaazi
01-30-2021, 10:53 AM
Rai (Kiranti) SNPs used in this evaluation: 179934.
Admix Results (sorted):
# Population Percent
1 NE-Asian 72.48
2 Siberian 10.67
3 S-Indian 9.15
4 SE-Asian 5.58
5 Papuan 1.26
6 Baloch 0.72
7 Beringian 0.14
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 6.41
2 tibet (simonson) 8.13
3 japanese (hgdp) 9.38
4 naxi (hgdp) 10.47
5 nysha (reich) 10.8
6 naga (metspalu) 10.92
7 yi (hgdp) 12.12
8 han-nchina (hgdp) 12.27
9 aonaga (reich) 12.49
10 xibo (hgdp) 14.09
11 chinese-beijing (1000genomes) 16.83
12 chinese-beijing (hapmap) 16.98
13 mongola (hgdp) 17.58
14 japanese (xing) 24.52
15 hezhen (hgdp) 24.54
16 daur (hgdp) 25.72
17 tujia (hgdp) 26.27
18 chinese-american (hapmap) 26.8
19 nepalese-b (xing) 27.42
20 japanese (1000genomes) 28.4
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 81.2% tibet (simonson) + 18.8% garo (chaubey) @ 1.53
2 82.2% tibet (simonson) + 17.8% burmanese (chaubey) @ 1.87
3 87.7% tibet (simonson) + 12.3% khasi (chaubey) @ 2.58
4 91% tibet (simonson) + 9% thai (xing) @ 2.58
5 77.7% nysha (reich) + 22.3% burmanese (chaubey) @ 2.59
6 90.8% tibet (simonson) + 9.2% khmer-cambodian (xing) @ 2.61
7 76.7% nysha (reich) + 23.3% garo (chaubey) @ 2.73
8 91.9% tibet (simonson) + 8.1% cambodian (hgdp) @ 2.83
9 84.1% nysha (reich) + 15.9% khasi (chaubey) @ 2.88
10 92.1% tibet (simonson) + 7.9% singapore-malay (sgvp) @ 2.89
11 93.3% tibet (simonson) + 6.7% iban (xing) @ 3.25
12 92.3% tibet (simonson) + 7.7% bonda (chaubey) @ 3.42
13 92.3% tibet (simonson) + 7.7% juang (chaubey) @ 3.45
14 88.5% nysha (reich) + 11.5% thai (xing) @ 3.57
15 88.9% tibet (simonson) + 11.1% lahu (hgdp) @ 3.59
16 84.2% naga (metspalu) + 15.8% khasi (chaubey) @ 3.65
17 90% tibet (simonson) + 10% kinh (1000genomes) @ 3.68
18 91.3% tibet (simonson) + 8.7% dai (hgdp) @ 3.77
19 91.1% tibet (simonson) + 8.9% dai-chinese (1000genomes) @ 3.79
20 89.4% tibet (simonson) + 10.6% vietnamese (xing) @ 3.8
Kaazi
01-30-2021, 11:02 AM
Lama (Tamang) SNPs used in this evaluation: 163214.
Admix Results (sorted):
# Population Percent
1 NE-Asian 67.72
2 S-Indian 12.06
3 Siberian 10.56
4 Baloch 2.9
5 Beringian 1.97
6 Papuan 1.93
7 SE-Asian 1.52
8 Caucasian 0.92
9 American 0.35
10 E-African 0.05
11 SW-Asian 0.03
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 11.14
2 tibet (simonson) 11.7
3 nysha (reich) 14.88
4 japanese (hgdp) 15.35
5 xibo (hgdp) 15.35
6 naxi (hgdp) 15.99
7 naga (metspalu) 16.02
8 aonaga (reich) 17.13
9 yi (hgdp) 17.5
10 mongola (hgdp) 17.94
11 han-nchina (hgdp) 18.36
12 nepalese-b (xing) 21.69
13 chinese-beijing (1000genomes) 22.5
14 chinese-beijing (hapmap) 22.66
15 hezhen (hgdp) 24.06
16 daur (hgdp) 25.09
17 japanese (xing) 28.99
18 tujia (hgdp) 30.52
19 chinese-american (hapmap) 31.02
20 japanese (1000genomes) 32.92
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 87.2% tibet (simonson) + 12.8% tharu (reich) @ 2.22
2 86.1% tibet (simonson) + 13.9% bengali (harappa) @ 2.32
3 87.5% tibet (simonson) + 12.5% satnami (reich) @ 2.38
4 87.7% tibet (simonson) + 12.3% gond (metspalu) @ 2.42
5 87.5% tibet (simonson) + 12.5% tamil-nadar (harappa) @ 2.51
6 87.4% tibet (simonson) + 12.6% sinhalese (harappa) @ 2.51
7 87% tibet (simonson) + 13% kerala-muslim (harappa) @ 2.54
8 87.4% tibet (simonson) + 12.6% andhra-pradesh (harappa) @ 2.6
9 87.3% tibet (simonson) + 12.7% tamil (harappa) @ 2.6
10 87.7% tibet (simonson) + 12.3% tamil-nadu-scheduled-caste (metspalu) @ 2.61
11 87.7% tibet (simonson) + 12.3% hallaki (reich) @ 2.61
12 87.8% tibet (simonson) + 12.2% singapore-indian-a (sgvp) @ 2.62
13 87.8% tibet (simonson) + 12.2% kurumba (metspalu) @ 2.63
14 87.8% tibet (simonson) + 12.2% piramalai-kallar (metspalu) @ 2.64
15 87.4% tibet (simonson) + 12.6% chenchu (metspalu) @ 2.65
16 87.8% tibet (simonson) + 12.2% kamsali (reich) @ 2.66
17 87.6% tibet (simonson) + 12.4% dusadh (metspalu) @ 2.67
18 87.7% tibet (simonson) + 12.3% sahariya (reich) @ 2.68
19 87.5% tibet (simonson) + 12.5% karnataka (harappa) @ 2.69
20 87.7% tibet (simonson) + 12.3% kol (metspalu) @ 2.7
Kaazi
01-30-2021, 11:10 AM
Found in reddit.
Gautam (Bahun/Brahmin)
https://i.imgur.com/GxzhX2a.jpg
Kaazi
01-31-2021, 03:10 AM
Bhattarai -Chhetri or Bahun mixed with Chhetri. SNPs used in this evaluation: 169874.
Admix Results (sorted):
# Population Percent
1 S-Indian 31.63
2 Baloch 30.08
3 NE-Asian 12.15
4 NE-Euro 10.36
5 Caucasian 8.19
6 Siberian 2.99
7 SE-Asian 2.34
8 American 1.82
9 Papuan 0.33
10 Mediterranean 0.12
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 11.26
2 up-muslim (harappa) 11.93
3 kashmiri (harappa) 12.78
4 nepalese-c (xing) 13.24
5 burusho (hgdp) 13.72
6 punjabi (harappa) 13.97
7 kashmiri-pandit (reich) 14.24
8 gujarati-muslim (harappa) 14.42
9 bengali-brahmin (harappa) 14.45
10 punjabi-jatt-muslim (harappa) 14.68
11 singapore-indian-c (sgvp) 14.73
12 punjabi-brahmin (harappa) 14.98
13 kashmiri-pahari (harappa) 15.06
14 bihari-muslim (harappa) 15.25
15 up-brahmin (harappa) 15.45
16 punjabi-jatt-sikh (harappa) 15.49
17 punjabi-khatri (harappa) 15.6
18 punjabi-ramgarhia (harappa) 15.63
19 haryana-jatt (harappa) 15.92
20 brahmin-uttar-pradesh (metspalu) 16.33
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 55% nepalese-c (xing) + 45% haryana-jatt (harappa) @ 3.88
2 74.5% punjabi-brahmin (harappa) + 25.5% nepalese-b (xing) @ 3.95
3 82% up-brahmin (harappa) + 18% tu (hgdp) @ 3.98
4 54.3% nepalese-c (xing) + 45.7% punjabi-jatt-sikh (harappa) @ 3.99
5 64.4% gujarati (harappa) + 35.6% uyghur (hgdp) @ 4.02
6 81.7% up-brahmin (harappa) + 18.3% xibo (hgdp) @ 4.04
7 54.5% nepalese-c (xing) + 45.5% punjabi-khatri (harappa) @ 4.1
8 82.9% up-brahmin (harappa) + 17.1% japanese (hgdp) @ 4.14
9 65.4% up-kshatriya (metspalu) + 34.6% uyghur (hgdp) @ 4.19
10 64.8% gujarati-b (hapmap) + 35.2% uyghur (hgdp) @ 4.2
11 54.6% nepalese-a (xing) + 45.4% nepalese-c (xing) @ 4.24
12 75.6% kashmiri-pandit (reich) + 24.4% nepalese-b (xing) @ 4.24
13 83.3% up-brahmin (harappa) + 16.7% han-nchina (hgdp) @ 4.25
14 52% nepalese-c (xing) + 48% kashmiri-pandit (reich) @ 4.27
15 66.6% vaish (reich) + 33.4% uyghur (hgdp) @ 4.28
16 65.5% karnataka-brahmin (harappa) + 34.5% uyghur (hgdp) @ 4.28
17 81.3% up-brahmin (harappa) + 18.7% mongola (hgdp) @ 4.29
18 80.2% nepalese-a (xing) + 19.8% nepalese-b (xing) @ 4.3
19 70.9% bengali-brahmin (harappa) + 29.1% uyghur (hgdp) @ 4.3
20 82.5% up-brahmin (harappa) + 17.5% naxi (hgdp) @ 4.36
Kaazi
02-06-2021, 02:16 PM
Chhetri heatmap chart (harappaworld calculator:
https://i.imgur.com/iULZ2XH.png
105851
https://i.imgur.com/wAXmZRH.png
Kaazi
02-06-2021, 03:10 PM
Malla (Thakuri)- 171494 SNPs used in this evaluation
Admix Results (sorted):
# Population Percent
1 S-Indian 31.41
2 NE-Asian 26.29
3 Baloch 23.84
4 Caucasian 7.43
5 NE-Euro 3.56
6 Siberian 3.55
7 Beringian 1.2
8 American 1.05
9 Mediterranean 0.68
10 Papuan 0.6
11 SW-Asian 0.36
12 SE-Asian 0.03
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 3.95
2 burusho (hgdp) 25.62
3 bengali (harappa) 25.85
4 up-muslim (harappa) 25.87
5 nepalese-a (xing) 26.04
6 kashmiri (harappa) 26.48
7 gujarati-muslim (harappa) 26.95
8 bihari-muslim (harappa) 27.16
9 bengali-brahmin (harappa) 27.25
10 nepalese-b (xing) 27.77
11 hazara (hgdp) 27.94
12 punjabi (harappa) 27.98
13 cochin-jew (behar) 28.38
14 kashmiri-pandit (reich) 28.44
15 punjabi-jatt-muslim (harappa) 28.51
16 kashmiri-pahari (harappa) 28.56
17 uyghur (hgdp) 28.67
18 singapore-indian-c (sgvp) 28.98
19 bene-israel-jew (behar) 29
20 punjabi-brahmin (harappa) 29.39
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 95.6% nepalese-c (xing) + 4.4% tibet (simonson) @ 2.87
2 95.2% nepalese-c (xing) + 4.8% xibo (hgdp) @ 2.89
3 95.8% nepalese-c (xing) + 4.2% nysha (reich) @ 2.92
4 95.4% nepalese-c (xing) + 4.6% daur (hgdp) @ 2.93
5 96% nepalese-c (xing) + 4% aonaga (reich) @ 2.93
6 95.9% nepalese-c (xing) + 4.1% naga (metspalu) @ 2.94
7 95.2% nepalese-c (xing) + 4.8% mongola (hgdp) @ 2.94
8 95.4% nepalese-c (xing) + 4.6% hezhen (hgdp) @ 2.95
9 95.4% nepalese-c (xing) + 4.6% tu (hgdp) @ 2.95
10 91.4% nepalese-c (xing) + 8.6% nepalese-b (xing) @ 2.99
11 96.8% nepalese-c (xing) + 3.2% japanese (1000genomes) @ 3.01
12 96% nepalese-c (xing) + 4% han-nchina (hgdp) @ 3.05
13 95.8% nepalese-c (xing) + 4.2% naxi (hgdp) @ 3.08
14 95.9% nepalese-c (xing) + 4.1% yi (hgdp) @ 3.11
15 50.7% nepalese-b (xing) + 49.3% kashmiri-pahari (harappa) @ 3.13
16 96.3% nepalese-c (xing) + 3.7% chinese-beijing (1000genomes) @ 3.16
17 96.1% nepalese-c (xing) + 3.9% oroqen (hgdp) @ 3.2
18 50.6% nepalese-b (xing) + 49.4% kashmiri-pandit (reich) @ 3.29
19 95.6% nepalese-c (xing) + 4.4% mongolian (rasmussen) @ 3.3
20 50.2% nepalese-b (xing) + 49.8% punjabi (harappa) @ 3.31
One of it's 4 way ancestor is Kalash which could point out it got some quarter of high BMAC admix/ancestry.
4-Oracle
Admix Results (sorted):
# Population Percent
1 S-Indian 31.41
2 NE-Asian 26.29
3 Baloch 23.84
4 Caucasian 7.43
5 NE-Euro 3.56
6 Siberian 3.55
7 Beringian 1.20
8 American 1.05
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-c_xing @ 4.288223
2 brahmin-uttaranchal_metspalu @ 4.792083
3 nepali_harappa @ 25.926044
4 up-muslim_harappa @ 27.731215
5 burusho_hgdp @ 27.809584
6 bengali_harappa @ 27.884026
7 nepalese-a_xing @ 28.072126
8 kashmiri_harappa @ 28.526615
9 gujarati-muslim_harappa @ 28.940825
10 bihari-muslim_harappa @ 29.215918
11 bengali-brahmin_harappa @ 29.311279
12 nepalese-b_xing @ 29.952900
13 bihari-brahmin_harappa @ 30.094654
14 punjabi_harappa @ 30.105976
15 pushtikar-brahmin_harappa @ 30.145773
16 hazara_hgdp @ 30.406698
17 rajasthani-brahmin_harappa @ 30.441364
18 cochin-jew_behar @ 30.493649
19 kashmiri-pandit_reich @ 30.625147
20 kerala_harappa @ 30.625486
Using 2 populations approximation:
1 50% kashmiri-pahari_harappa +50% nepalese-b_xing @ 3.450123
Using 3 populations approximation:
1 50% brahmin-uttaranchal_metspalu +25% gujarati-muslim_harappa +25% nepalese-b_xing @ 2.329630
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++
1 kalash_hgdp + kamsali_reich + nepalese-c_xing + tibet_simonson @ 1.646773
2 chenchu_metspalu + kalash_hgdp + nepalese-c_xing + tibet_simonson @ 1.656872
3 hallaki_reich + kalash_hgdp + nepalese-c_xing + nysha_reich @ 1.687388
4 hallaki_reich + kalash_hgdp + nepalese-c_xing + tibet_simonson @ 1.776830
5 kalash_hgdp + kamsali_reich + nepalese-c_xing + nysha_reich @ 1.778417
6 brahmin-uttaranchal_metspalu + hallaki_reich + kalash_hgdp + nysha_reich @ 1.780970
7 ap-reddy_harappa + kalash_hgdp + nepalese-b_xing + nepalese-b_xing @ 1.784414
8 kalash_hgdp + nepalese-c_xing + sakilli_chaubey + tibet_simonson @ 1.787008
9 kashmiri_harappa + nepalese-c_xing + tibet_simonson + velama_reich @ 1.796821
10 kalash_hgdp + nepalese-c_xing + nysha_reich + piramalai-kallar_metspalu @ 1.835132
11 kalash_hgdp + nepalese-c_xing + tamil-vishwakarma_harappa + tibet_simonson @ 1.841472
12 brahmin-uttaranchal_metspalu + chenchu_metspalu + kalash_hgdp + tibet_simonson @ 1.875828
13 ap-hyderabad_harappa + kalash_hgdp + nepalese-b_xing + nepalese-b_xing @ 1.877515
14 kalash_hgdp + nepalese-c_xing + piramalai-kallar_metspalu + tibet_simonson @ 1.898029
15 kalash_hgdp + nepalese-c_xing + nysha_reich + sakilli_chaubey @ 1.911796
16 kalash_hgdp + nepalese-b_xing + nepalese-b_xing + velama_reich @ 1.921696
17 brahmin-uttaranchal_metspalu + kalash_hgdp + kamsali_reich + nysha_reich @ 1.927252
18 brahmin-uttaranchal_metspalu + kalash_hgdp + kamsali_reich + tibet_simonson @ 1.946625
19 chenchu_metspalu + kalash_hgdp + nepalese-c_xing + nysha_reich @ 1.946678
20 chamar_metspalu + kalash_hgdp + nepalese-c_xing + tibet_simonson @ 1.948636
@Godardt bro, this guy's Farwestern Thakuri. He looks more like East Asian shifted Himachal Thakur/Rajput (higher Caucasian) than East Asian shifted Nepali Chhetri (higher NE-Euro).
Godardt
02-06-2021, 03:22 PM
@Godardt bro, this guy's Farwestern Thakuri. He looks more like East Asian shifted Himachal Thakur/Rajput (higher Caucasian) than East Asian shifted Nepali Chhetri (higher NE-Euro).Bro, you mean Sudur paschim thakuri. I am presently researching on their phenotypes. Some of them esp Pals, Chands, even Mallas and shahi from that belt look very Indic, also Bams. I think they differ in genetics and phenotypes according to family history of admixture, ie whether with eastern Thakuris or Thakuris and Pahari Rajputs from across the western Indian border. The paharis Rajputs and Thakurs there are mixed with other Rajputs and also Punjabis via himachali Rajputs. Thanks for sharing. Probably this guy's ancestry is more towards the east.
Sent from my Mi 10 using Tapatalk
Kaazi
02-07-2021, 10:57 AM
Bro, you mean Sudur paschim thakuri. I am presently researching on their phenotypes. Some of them esp Pals, Chands, even Mallas and shahi from that belt look very Indic, also Bams. I think they differ in genetics and phenotypes according to family history of admixture, ie whether with eastern Thakuris or Thakuris and Pahari Rajputs from across the western Indian border. The paharis Rajputs and Thakurs there are mixed with other Rajputs and also Punjabis via himachali Rajputs. Thanks for sharing. Probably this guy's ancestry is more towards the east.
Sent from my Mi 10 using Tapatalk
Well, actually people having similar harappaworld scores doesn't necessarily establish genetic relationship. The basic/older mix of Thakuris is probably Jaad (Khampa Tibetan), Khas and Magar; a lot of Thakuris do not have Khas origin paternally (lack Masto deity). They likely do not have Indian Rajput origin (part of fake pretence like the Rana/Shah dynasty) but some elites can have recent Rajput admixture through intermarriages.
Also, Eastern (Gandaki) Thakuris and Magars share affinity with each other culturally and genetically.
See this article: https://archive.nepalitimes.com/article/nation/Broom,410 So, I think Eastern Thakuris may score like Newars.
Anyways, it would be interesting to have the G25 co-ordinates of Sudurpaschim Thakuri.
Himachal_Thakur_Chauhan,40.47,33.64,9.04,3.86,1.98 ,1.14,6.50,0.36,2.54,0.48,0.00,0.00,0.00,0.00,0.00 ,0.00
Target: Sudurpaschim_Thakuri_Malla
Distance: 2.3183% / 2.31831482 | R2P
72.4 Himachal_Thakur_Chauhan
27.6 Tibetan
Target: Sudurpaschim_Thakuri_Malla
Distance: 1.0198% / 1.01977586 | R3P
51.4 Kashmiri_Butt
31.0 Tibetan
17.6 Piramalai_Kallar
Target: Sudurpaschim_Thakuri_Malla
Distance: 1.1444% / 1.14442601 | R3P
45.3 Punjabi_Abbasi
31.0 Tibetan
23.7 Chenchu1
Kaazi
02-08-2021, 12:58 PM
Gurung SNPs used in this evaluation: 171644. Good Baloch in this Gurung.
Admix Results (sorted):
# Population Percent
1 NE-Asian 63.08
2 S-Indian 15.82
3 Siberian 9.08
4 Baloch 5.07
5 SE-Asian 2.78
6 Caucasian 1.35
7 Papuan 1.17
8 American 0.58
9 Beringian 0.52
10 NE-Euro 0.28
11 W-African 0.27
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 15.36
2 nepalese-b (xing) 15.79
3 tibet (simonson) 17.64
4 xibo (hgdp) 18.64
5 naxi (hgdp) 18.68
6 japanese (hgdp) 19.63
7 yi (hgdp) 19.9
8 mongola (hgdp) 20.2
9 nysha (reich) 20.37
10 naga (metspalu) 21.37
11 han-nchina (hgdp) 22.22
12 aonaga (reich) 22.45
13 chinese-beijing (1000genomes) 25.18
14 chinese-beijing (hapmap) 25.29
15 hezhen (hgdp) 26.27
16 daur (hgdp) 27.14
17 garo (chaubey) 29.08
18 tujia (hgdp) 31.05
19 burmanese (chaubey) 31.13
20 chinese-american (hapmap) 31.5
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 80.5% tibet (simonson) + 19.5% tharu (reich) @ 2.16
2 80.9% tibet (simonson) + 19.1% satnami (reich) @ 2.27
3 78.8% tibet (simonson) + 21.2% bengali (harappa) @ 2.44
4 80.8% tibet (simonson) + 19.2% sinhalese (harappa) @ 2.66
5 81.3% tibet (simonson) + 18.7% gond (metspalu) @ 2.67
6 81.2% tibet (simonson) + 18.8% tamil-nadu-scheduled-caste (metspalu) @ 2.71
7 81% tibet (simonson) + 19% tamil-nadar (harappa) @ 2.76
8 81.2% tibet (simonson) + 18.8% hallaki (reich) @ 2.76
9 81.3% tibet (simonson) + 18.7% singapore-indian-a (sgvp) @ 2.77
10 80.1% tibet (simonson) + 19.9% kerala-muslim (harappa) @ 2.79
11 81.4% tibet (simonson) + 18.6% piramalai-kallar (metspalu) @ 2.81
12 81.1% tibet (simonson) + 18.9% dusadh (metspalu) @ 2.84
13 80.7% tibet (simonson) + 19.3% chenchu (metspalu) @ 2.86
14 81.3% tibet (simonson) + 18.7% kurumba (metspalu) @ 2.86
15 81.1% tibet (simonson) + 18.9% lodi (reich) @ 2.87
16 81.2% tibet (simonson) + 18.8% kol (metspalu) @ 2.89
17 80.7% tibet (simonson) + 19.3% andhra-pradesh (harappa) @ 2.9
18 52.8% nepalese-b (xing) + 47.2% tibet (simonson) @ 2.95
19 80.6% tibet (simonson) + 19.4% tamil (harappa) @ 2.95
20 81.4% tibet (simonson) + 18.6% kamsali (reich) @ 2.95
Gurung SNPs used in this evaluation: 171649.
Admix Results (sorted):
# Population Percent
1 NE-Asian 64.04
2 S-Indian 15.37
3 Siberian 9.65
4 SE-Asian 4.32
5 Papuan 2.27
6 Baloch 2
7 Mediterranean 0.85
8 Caucasian 0.44
9 American 0.4
10 Beringian 0.35
11 San 0.22
12 SW-Asian 0.04
13 Pygmy 0.04
Single Population Sharing:
# Population (source) Distance
1 tu (hgdp) 14.05
2 tibet (simonson) 16.44
3 naxi (hgdp) 16.72
4 xibo (hgdp) 17.49
5 nepalese-b (xing) 17.81
6 japanese (hgdp) 17.82
7 yi (hgdp) 17.98
8 nysha (reich) 19.25
9 mongola (hgdp) 19.25
10 naga (metspalu) 20.05
11 han-nchina (hgdp) 20.67
12 aonaga (reich) 21.27
13 chinese-beijing (1000genomes) 23.5
14 chinese-beijing (hapmap) 23.61
15 hezhen (hgdp) 25.44
16 daur (hgdp) 26.4
17 garo (chaubey) 28.33
18 tujia (hgdp) 29.42
19 chinese-american (hapmap) 29.9
20 burmanese (chaubey) 30.66
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 78.9% tibet (simonson) + 21.1% great-andamanese (reich) @ 2.06
2 82.4% tibet (simonson) + 17.6% sahariya (reich) @ 2.2
3 83% tibet (simonson) + 17% kharia (chaubey) @ 2.31
4 82.9% tibet (simonson) + 17.1% juang (chaubey) @ 2.41
5 83.1% tibet (simonson) + 16.9% ho (chaubey) @ 2.43
6 79.5% tibet (simonson) + 20.5% onge (reich) @ 2.44
7 82.9% tibet (simonson) + 17.1% bonda (chaubey) @ 2.48
8 83.1% tibet (simonson) + 16.9% savara (chaubey) @ 2.51
9 83.2% tibet (simonson) + 16.8% asur (chaubey) @ 2.67
10 76.2% nysha (reich) + 23.8% great-andamanese (reich) @ 2.72
11 83.2% tibet (simonson) + 16.8% santhal (reich) @ 2.75
12 82.7% tibet (simonson) + 17.3% gond (metspalu) @ 3.27
13 83.2% tibet (simonson) + 16.8% nihali (metspalu) @ 3.32
14 75.6% naga (metspalu) + 24.4% great-andamanese (reich) @ 3.64
15 82.5% tibet (simonson) + 17.5% satnami (reich) @ 3.67
16 74.5% aonaga (reich) + 25.5% great-andamanese (reich) @ 3.68
17 77% nysha (reich) + 23% onge (reich) @ 3.97
18 86.4% tu (hgdp) + 13.6% paniya (chaubey) @ 4.13
19 82.3% tibet (simonson) + 17.7% tharu (reich) @ 4.14
20 80.2% nysha (reich) + 19.8% sahariya (reich) @ 4.15
Kaazi
10-07-2021, 04:36 PM
@Godardt bro, a new (3rd) Thakuri kit. East Asian/Tibetic ancestry is 5% higher than Chhetris.
Nepali Thakuri (Singh) 52553 SNPs used in this evaluation
Admix Results (sorted):
# Population Percent
1 S-Indian 33.79
2 NE-Asian 24.92
3 Baloch 22.82
4 NE-Euro 8.69
5 Siberian 3.9
6 Mediterranean 2.76
7 American 1.6
8 Pygmy 0.81
9 Papuan 0.49
10 Caucasian 0.23
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 6.44
2 bengali (harappa) 23.89
3 nepalese-a (xing) 24.69
4 bengali-brahmin (harappa) 25.44
5 bihari-muslim (harappa) 25.96
6 up-muslim (harappa) 26.14
7 burusho (hgdp) 27.26
8 vaish (reich) 27.74
9 brahmin-uttar-pradesh (metspalu) 27.79
10 kashmiri (harappa) 27.98
11 sri-lankan (harappa) 27.99
12 up-brahmin (harappa) 28.01
13 bihari (harappa) 28.16
14 karnataka-brahmin (harappa) 28.2
15 maharashtrian (harappa) 28.49
16 caribbean-indian (harappa) 28.53
17 gujarati-muslim (harappa) 28.55
18 up-kshatriya (metspalu) 28.6
19 punjabi (harappa) 28.62
20 up (harappa) 28.69
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 51% brahmin-uttar-pradesh (metspalu) + 49% nepalese-b (xing) @ 3.6
2 68.7% vaish (reich) + 31.3% tibet (simonson) @ 3.92
3 51.1% vaish (reich) + 48.9% nepalese-b (xing) @ 3.97
4 69.7% vaish (reich) + 30.3% nysha (reich) @ 3.98
5 70.4% vaish (reich) + 29.6% aonaga (reich) @ 4.23
6 70.1% vaish (reich) + 29.9% naga (metspalu) @ 4.32
7 50.8% up-brahmin (harappa) + 49.2% nepalese-b (xing) @ 4.37
8 53.3% bengali-brahmin (harappa) + 46.7% nepalese-b (xing) @ 4.37
9 50.3% up-kshatriya (metspalu) + 49.7% nepalese-b (xing) @ 4.41
10 71.6% bengali-brahmin (harappa) + 28.4% nysha (reich) @ 4.52
11 69.7% brahmin-uttar-pradesh (metspalu) + 30.3% nysha (reich) @ 4.64
12 68.1% up-kshatriya (metspalu) + 31.9% tibet (simonson) @ 4.71
13 68.8% brahmin-uttar-pradesh (metspalu) + 31.2% tibet (simonson) @ 4.73
14 70.7% bengali-brahmin (harappa) + 29.3% tibet (simonson) @ 4.75
15 69.1% up-kshatriya (metspalu) + 30.9% nysha (reich) @ 4.78
16 72.2% bengali-brahmin (harappa) + 27.8% aonaga (reich) @ 4.8
17 70.4% brahmin-uttar-pradesh (metspalu) + 29.6% aonaga (reich) @ 4.92
18 50.6% nepalese-b (xing) + 49.4% gujarati-b (hapmap) @ 4.96
19 69.8% up-kshatriya (metspalu) + 30.2% aonaga (reich) @ 5.04
20 70.1% brahmin-uttar-pradesh (metspalu) + 29.9% naga (metspalu) @ 5.04
Admix Results (sorted):
# Population Percent
1 S-Indian 33.79
2 NE-Asian 24.92
3 Baloch 22.82
4 NE-Euro 8.69
5 Siberian 3.90
6 Mediterranean 2.76
7 American 1.60
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-c_xing @ 7.072700
2 brahmin-uttaranchal_metspalu @ 7.667666
3 nepali_harappa @ 25.468925
4 bengali_harappa @ 25.705359
5 nepalese-a_xing @ 26.637724
6 bengali-brahmin_harappa @ 27.331909
7 bihari-muslim_harappa @ 27.949930
8 up-muslim_harappa @ 28.164665
9 bihari-brahmin_harappa @ 28.365328
10 burusho_hgdp @ 29.756718
11 rajasthani-brahmin_harappa @ 29.787811
12 vaish_reich @ 29.858250
13 brahmin-uttar-pradesh_metspalu @ 29.913422
14 up-brahmin_harappa @ 30.138865
15 sri-lankan_harappa @ 30.218948
16 kashmiri_harappa @ 30.374512
17 karnataka-brahmin_harappa @ 30.405233
18 bihari_harappa @ 30.412521
19 kerala_harappa @ 30.511385
20 maharashtrian_harappa @ 30.743521
Using 2 populations approximation:
1 50% brahmin-uttar-pradesh_metspalu +50% nepalese-b_xing @ 3.913838
Using 3 populations approximation:
1 50% nepalese-b_xing +25% oriya_harappa +25% up-brahmin_harappa @ 3.789998
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++
1 bihari-brahmin_harappa + nepalese-b_xing + nepalese-b_xing + oriya_harappa @ 3.683906
2 brahmin-uttar-pradesh_metspalu + nepalese-b_xing + nepalese-b_xing + oriya_harappa @ 3.706519
3 nepalese-a_xing + nepalese-b_xing + nepalese-b_xing + oriya_harappa @ 3.716451
4 nepalese-b_xing + nepalese-b_xing + oriya_harappa + up-brahmin_harappa @ 3.789998
5 brahmin-uttar-pradesh_metspalu + brahmin-uttar-pradesh_metspalu + nepalese-b_xing + nepalese-b_xing @ 3.913838
6 ap-reddy_harappa + gujarati-a_hapmap + japanese_xing + singapore-indian-d_sgvp @ 3.999723
7 ap-reddy_harappa + gujarati-patel_harappa + japanese_xing + singapore-indian-d_sgvp @ 4.004418
8 gujarati-a_hapmap + japanese_xing + singapore-indian-d_sgvp + tamil_harappa @ 4.025609
9 gujarati-patel_harappa + japanese_xing + singapore-indian-d_sgvp + tamil_harappa @ 4.033386
10 nepalese-c_xing + oriya_harappa + oriya_harappa + tibet_simonson @ 4.036242
11 brahmin-uttar-pradesh_metspalu + nepalese-b_xing + nepalese-b_xing + vaish_reich @ 4.043557
12 gujarati-a_hapmap + japanese_xing + singapore-indian-d_sgvp + south-african-indian_harappa @ 4.047874
13 bihari-brahmin_harappa + brahmin-uttar-pradesh_metspalu + nepalese-b_xing + nepalese-b_xing @ 4.058311
14 ap-reddy_harappa + gujarati-a_1000genomes + japanese_xing + singapore-indian-d_sgvp @ 4.061813
15 gujarati-a_hapmap + japanese_1000genomes + singapore-indian-d_sgvp + south-african-indian_harappa @ 4.069807
16 aonaga_reich + ap-reddy_harappa + gujarati-patel_harappa + singapore-indian-d_sgvp @ 4.100090
17 gujarati-patel_harappa + japanese_xing + meghawal_metspalu + singapore-indian-d_sgvp @ 4.105648
18 gujarati-a_hapmap + japanese_1000genomes + singapore-indian-d_sgvp + tamil_harappa @ 4.106167
19 gujarati-patel_harappa + japanese_xing + singapore-indian-d_sgvp + south-african-indian_harappa @ 4.111708
20 bihari-brahmin_harappa + nepalese-b_xing + nepalese-b_xing + vaish_reich @ 4.118377
Without Tibetic ancestry, he looks like a Bengali Brahmin sample from Anthrogenica, iirc. He's nearing high 17% NE-Euro+Med like Basnet and Khatri but higher S-Indian and way lower Baloch+Caucasian; he can be compared with Chhetris in the below chart.
Nepali Singh Thakuri with Tibetic ancestry removed
S-Indian: 45.53%
Baloch: 33.63%
Caucasian: 0.34%
NE-Euro: 12.78%
SE-Asian: 0.00%
Siberian: 0.12%
NE-Asian: 0.00%
Papuan: 0.00%
American: 2.27%
Beringian: 0.00%
Mediterranean: 4.11%
SW-Asian: 0.00%
San: 0.00%
E-African: 0.00%
Pygmy: 1.21%
W-African: 0.00%
This Thakuri guy is basically Chhetris + extra S-Indian. I think he's a Khas Thakuri from Farwest Nepal rather than Eastern Thakuri from Sapta Gandaki region/basin whom I think will cluster or shift towards with Magars (Tibeto-Burmese).
https://i.imgur.com/IyPS8el.png
Kaazi
10-29-2021, 07:12 AM
Nepali Thakuri (Raya)
Admix Results (sorted):
# Population Percent
1 S-Indian 32.29
2 NE-Asian 26.33
3 Baloch 22.36
4 NE-Euro 6.83
5 Siberian 4.42
6 Caucasian 4.03
7 Papuan 1.09
8 Mediterranean 1.09
9 SE-Asian 0.96
10 American 0.61
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 4.18
2 bengali (harappa) 25.24
3 nepalese-a (xing) 25.91
4 up-muslim (harappa) 26.61
5 burusho (hgdp) 26.89
6 bengali-brahmin (harappa) 26.94
7 nepalese-b (xing) 27.04
8 bihari-muslim (harappa) 27.17
9 kashmiri (harappa) 27.82
10 hazara (hgdp) 28.33
11 gujarati-muslim (harappa) 28.44
12 uyghur (hgdp) 28.82
13 punjabi (harappa) 28.98
14 cochin-jew (behar) 29.3
15 up-brahmin (harappa) 29.38
16 brahmin-uttar-pradesh (metspalu) 29.44
17 vaish (reich) 29.45
18 kashmiri-pandit (reich) 29.5
19 kashmiri-pahari (harappa) 29.54
20 karnataka-brahmin (harappa) 29.6
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 69.3% bihari-muslim (harappa) + 30.7% nysha (reich) @ 1.74
2 68.3% bihari-muslim (harappa) + 31.7% tibet (simonson) @ 1.94
3 69.5% bengali-brahmin (harappa) + 30.5% nysha (reich) @ 1.97
4 52.1% nepalese-b (xing) + 47.9% up-brahmin (harappa) @ 1.98
5 66.6% vaish (reich) + 33.4% tibet (simonson) @ 2.02
6 70% bihari-muslim (harappa) + 30% aonaga (reich) @ 2.1
7 68.5% bengali-brahmin (harappa) + 31.5% tibet (simonson) @ 2.17
8 69.7% bihari-muslim (harappa) + 30.3% naga (metspalu) @ 2.22
9 52.1% nepalese-b (xing) + 47.9% brahmin-uttar-pradesh (metspalu) @ 2.34
10 70.2% bengali-brahmin (harappa) + 29.8% aonaga (reich) @ 2.45
11 67.6% vaish (reich) + 32.4% nysha (reich) @ 2.46
12 89.1% nepalese-c (xing) + 10.9% nepalese-b (xing) @ 2.6
13 68% vaish (reich) + 32% naga (metspalu) @ 2.63
14 66% up-kshatriya (metspalu) + 34% tibet (simonson) @ 2.63
15 69.9% bengali-brahmin (harappa) + 30.1% naga (metspalu) @ 2.65
16 66.5% karnataka-brahmin (harappa) + 33.5% tibet (simonson) @ 2.7
17 94.5% nepalese-c (xing) + 5.5% hezhen (hgdp) @ 2.73
18 94.5% nepalese-c (xing) + 5.5% daur (hgdp) @ 2.74
19 68.3% vaish (reich) + 31.7% aonaga (reich) @ 2.77
20 94.3% nepalese-c (xing) + 5.7% mongola (hgdp) @ 2.78
Kaazi
10-29-2021, 07:13 AM
Another Nepali Thakuri
https://i.imgur.com/71MrtObr.png
https://i.imgur.com/CkymR8qr.png
Another Thakuri? 184924 SNPs used in this evaluation
S-Indian: 30.36%
Baloch: 21.05%
Caucasian: 3.61%
NE-Euro: 6.14%
SE-Asian: 3.97%
Siberian: 5.09%
NE-Asian: 25.57%
Papuan: 0.76%
American: 1.69%
Beringian: 0.09%
Mediterranean: 1.68%
SW-Asian: 0.00%
San: 0.00%
E-African: 0.00%
Pygmy: 0.00%
W-African: 0.00%
Kaazi
10-29-2021, 07:14 AM
1st Jaishi Bahun kit.
Nepali Jaishi Brahmin (Kattel) 52878 SNPs used in this evaluation
Admix Results (sorted):
# Population Percent
1 Baloch 34.17
2 S-Indian 33.48
3 NE-Euro 12.47
4 Caucasian 9.14
5 NE-Asian 5.76
6 Mediterranean 2.46
7 Siberian 0.77
8 American 0.71
9 Beringian 0.68
10 Pygmy 0.28
11 SE-Asian 0.06
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 5.29
2 up-muslim (harappa) 6.58
3 punjabi-brahmin (harappa) 7.86
4 singapore-indian-c (sgvp) 7.89
5 punjabi (harappa) 7.91
6 kashmiri (harappa) 7.98
7 kashmiri-pandit (reich) 8.05
8 kashmiri-pahari (harappa) 8.7
9 up-brahmin (harappa) 8.74
10 punjabi-ramgarhia (harappa) 8.98
11 punjabi-jatt-muslim (harappa) 9.13
12 punjabi-jatt-sikh (harappa) 9.32
13 punjabi-khatri (harappa) 9.84
14 haryana-jatt (harappa) 10
15 gujarati-muslim (harappa) 10.05
16 bengali-brahmin (harappa) 10.06
17 brahmin-uttar-pradesh (metspalu) 10.36
18 bihari-muslim (harappa) 11.34
19 sindhi (harappa) 11.74
20 punjabi-arain (xing) 11.92
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 87.6% nepalese-a (xing) + 12.4% romanian-b (behar) @ 3.19
2 93.5% nepalese-a (xing) + 6.5% cypriot (behar) @ 3.5
3 94.1% nepalese-a (xing) + 5.9% druze (hgdp) @ 3.51
4 83.4% up-brahmin (harappa) + 16.6% uyghur (hgdp) @ 3.51
5 92.5% nepalese-a (xing) + 7.5% turk-istanbul (hodoglugil) @ 3.62
6 93.6% nepalese-a (xing) + 6.4% armenian (behar) @ 3.66
7 92.8% nepalese-a (xing) + 7.2% turk (behar) @ 3.67
8 92.8% nepalese-a (xing) + 7.2% turk-kayseri (hodoglugil) @ 3.68
9 92.4% nepalese-a (xing) + 7.6% turk-aydin (hodoglugil) @ 3.7
10 94.5% nepalese-a (xing) + 5.5% georgian (behar) @ 3.7
11 93.8% nepalese-a (xing) + 6.2% lebanese-druze (haber) @ 3.72
12 93.2% nepalese-a (xing) + 6.8% ashkenazi (harappa) @ 3.72
13 93.4% nepalese-a (xing) + 6.6% sephardic-jew (behar) @ 3.72
14 93.2% nepalese-a (xing) + 6.8% ashkenazy-jew (behar) @ 3.73
15 93.9% nepalese-a (xing) + 6.1% lebanese-christian (haber) @ 3.74
16 94.4% nepalese-a (xing) + 5.6% abhkasian (yunusbayev) @ 3.74
17 93.4% nepalese-a (xing) + 6.6% balkar (yunusbayev) @ 3.76
18 55.8% kanjar (metspalu) + 44.2% tajik (yunusbayev) @ 3.78
19 93.6% nepalese-a (xing) + 6.4% lebanese-muslim (haber) @ 3.78
20 69.9% vaish (reich) + 30.1% tajik (yunusbayev) @ 3.79
Admix Results (sorted):
# Population Percent
1 Baloch 34.17
2 S-Indian 33.48
3 NE-Euro 12.47
4 Caucasian 9.14
5 NE-Asian 5.76
6 Mediterranean 2.46
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepali_harappa @ 4.277302
2 nepalese-a_xing @ 5.802934
3 rajasthani-brahmin_harappa @ 5.869553
4 up-muslim_harappa @ 7.058072
5 pushtikar-brahmin_harappa @ 8.380121
6 punjabi-brahmin_harappa @ 8.525599
7 punjabi_harappa @ 8.574802
8 singapore-indian-c_sgvp @ 8.587505
9 kashmiri-pandit_reich @ 8.767150
10 kashmiri_harappa @ 8.773498
11 bihari-brahmin_harappa @ 9.087541
12 up-brahmin_harappa @ 9.506205
13 kashmiri-pahari_harappa @ 9.518133
14 punjabi-ramgarhia_harappa @ 9.789962
15 punjabi-jatt-muslim_harappa @ 9.802445
16 punjabi-jatt-sikh_harappa @ 10.130617
17 punjabi-khatri_harappa @ 10.736574
18 haryana-jatt_harappa @ 10.886077
19 gujarati-muslim_harappa @ 10.948800
20 bengali-brahmin_harappa @ 11.042083
Using 2 populations approximation:
1 50% nepali_harappa +50% rajasthani-brahmin_harappa @ 3.724152
Using 3 populations approximation:
1 50% haryana-jatt_harappa +25% nepalese-c_xing +25% tn-brahmin_xing @ 2.547159
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++
1 brahmin-uttar-pradesh_metspalu + haryana-jatt_harappa + nepalese-c_xing + punjabi-khatri_harappa @ 2.201775
2 haryana-jatt_harappa + nepalese-c_xing + rajasthani-brahmin_harappa + up-brahmin_harappa @ 2.258184
3 brahmin-uttar-pradesh_metspalu + haryana-jatt_harappa + nepalese-c_xing + rajasthani-brahmin_harappa @ 2.305712
4 haryana-jatt_harappa + nepalese-c_xing + punjabi-khatri_harappa + vaish_reich @ 2.395777
5 brahmin-uttar-pradesh_metspalu + brahmin-uttaranchal_metspalu + haryana-jatt_harappa + punjabi-khatri_harappa @ 2.401081
6 brahmin-uttar-pradesh_metspalu + haryana-jatt_harappa + kashmiri-pandit_reich + nepalese-c_xing @ 2.402109
7 brahmin-tamil-nadu_metspalu + haryana-jatt_harappa + haryana-jatt_harappa + nepalese-c_xing @ 2.403995
8 brahmin-uttaranchal_metspalu + haryana-jatt_harappa + rajasthani-brahmin_harappa + up-brahmin_harappa @ 2.424505
9 brahmin-uttar-pradesh_metspalu + haryana-jatt_harappa + nepalese-c_xing + punjabi-brahmin_harappa @ 2.428897
10 haryana-jatt_harappa + nepalese-c_xing + punjabi-brahmin_harappa + up-brahmin_harappa @ 2.430296
11 nepalese-c_xing + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa @ 2.447092
12 brahmin-uttar-pradesh_metspalu + brahmin-uttaranchal_metspalu + haryana-jatt_harappa + rajasthani-brahmin_harappa @ 2.482053
13 nepalese-c_xing + punjabi-brahmin_harappa + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa @ 2.512386
14 brahmin-uttar-pradesh_metspalu + nepalese-c_xing + punjabi-khatri_harappa + rajasthani-brahmin_harappa @ 2.520532
15 brahmin-uttar-pradesh_metspalu + haryana-jatt_harappa + nepalese-c_xing + pushtikar-brahmin_harappa @ 2.529069
16 goan_harappa + haryana-jatt_harappa + haryana-jatt_harappa + nepalese-c_xing @ 2.541524
17 brahmin-uttar-pradesh_metspalu + haryana-jatt_harappa + kashmiri_harappa + nepalese-c_xing @ 2.545653
18 haryana-jatt_harappa + haryana-jatt_harappa + nepalese-c_xing + tn-brahmin_xing @ 2.547159
19 haryana-jatt_harappa + kashmiri-pandit_reich + nepalese-c_xing + up-brahmin_harappa @ 2.552082
20 nepalese-c_xing + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa + up-brahmin_harappa @ 2.557162
Kaazi
10-29-2021, 07:16 AM
Nepali Khas Brahmin (Soti) 52515 SNPs used in this evaluation Y haplo: C-Z5899, M30d1
Admix Results (sorted):
# Population Percent
1 Baloch 35.37
2 S-Indian 33.69
3 NE-Euro 13.61
4 Caucasian 7.61
5 NE-Asian 3.65
6 SE-Asian 2.43
7 Beringian 1.34
8 American 1.33
9 Siberian 0.7
10 Mediterranean 0.16
11 Papuan 0.1
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 4.04
2 punjabi-brahmin (harappa) 6.97
3 singapore-indian-c (sgvp) 7
4 up-muslim (harappa) 7.04
5 up-brahmin (harappa) 7.33
6 punjabi (harappa) 7.49
7 kashmiri-pandit (reich) 7.74
8 punjabi-ramgarhia (harappa) 8.34
9 punjabi-jatt-sikh (harappa) 8.53
10 kashmiri-pahari (harappa) 8.53
11 punjabi-jatt-muslim (harappa) 8.77
12 kashmiri (harappa) 8.87
13 brahmin-uttar-pradesh (metspalu) 9.23
14 haryana-jatt (harappa) 9.24
15 bengali-brahmin (harappa) 9.28
16 punjabi-khatri (harappa) 9.56
17 gujarati-muslim (harappa) 10.78
18 bihari-muslim (harappa) 11.11
19 punjabi-arain (xing) 11.38
20 vaish (reich) 11.61
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 96% nepalese-a (xing) + 4% adygei (hgdp) @ 3.33
2 96% nepalese-a (xing) + 4% balkar (yunusbayev) @ 3.33
3 96.6% nepalese-a (xing) + 3.4% abhkasian (yunusbayev) @ 3.34
4 95.7% nepalese-a (xing) + 4.3% chechen (yunusbayev) @ 3.35
5 96.7% nepalese-a (xing) + 3.3% georgian (behar) @ 3.35
6 96.1% nepalese-a (xing) + 3.9% north-ossetian (yunusbayev) @ 3.36
7 93.4% nepalese-a (xing) + 6.6% romanian-b (behar) @ 3.36
8 96.8% nepalese-a (xing) + 3.2% thai (xing) @ 3.38
9 97.2% nepalese-a (xing) + 2.8% cambodian (hgdp) @ 3.39
10 97% nepalese-a (xing) + 3% khmer-cambodian (xing) @ 3.39
11 97.3% nepalese-a (xing) + 2.7% singapore-malay (sgvp) @ 3.4
12 97.7% nepalese-a (xing) + 2.3% iban (xing) @ 3.41
13 96.8% nepalese-a (xing) + 3.2% druze (hgdp) @ 3.42
14 95.4% nepalese-a (xing) + 4.6% stalskoe (xing) @ 3.42
15 95.5% nepalese-a (xing) + 4.5% urkarah (xing) @ 3.42
16 95.8% nepalese-a (xing) + 4.2% kumyk (yunusbayev) @ 3.42
17 95.7% nepalese-a (xing) + 4.3% lezgin (behar) @ 3.45
18 96.5% nepalese-a (xing) + 3.5% armenian (behar) @ 3.46
19 97.6% nepalese-a (xing) + 2.4% dai (hgdp) @ 3.47
20 97.6% nepalese-a (xing) + 2.4% dai-chinese (1000genomes) @ 3.49
Admix Results (sorted):
# Population Percent
1 Baloch 35.37
2 S-Indian 33.69
3 NE-Euro 13.61
4 Caucasian 7.61
5 NE-Asian 3.65
6 SE-Asian 2.43
7 Beringian 1.34
8 American 1.33
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepalese-a_xing @ 4.323540
2 rajasthani-brahmin_harappa @ 5.000198
3 nepali_harappa @ 5.279682
4 punjabi-brahmin_harappa @ 7.606100
5 singapore-indian-c_sgvp @ 7.639235
6 up-muslim_harappa @ 7.662062
7 up-brahmin_harappa @ 7.967045
8 punjabi_harappa @ 8.185632
9 bihari-brahmin_harappa @ 8.364081
10 pushtikar-brahmin_harappa @ 8.369209
11 kashmiri-pandit_reich @ 8.512444
12 punjabi-ramgarhia_harappa @ 9.083442
13 punjabi-jatt-sikh_harappa @ 9.299306
14 kashmiri-pahari_harappa @ 9.337010
15 punjabi-jatt-muslim_harappa @ 9.513009
16 kashmiri_harappa @ 9.806910
17 haryana-jatt_harappa @ 10.071697
18 brahmin-uttar-pradesh_metspalu @ 10.119998
19 bengali-brahmin_harappa @ 10.205232
20 punjabi-khatri_harappa @ 10.533798
Using 2 populations approximation:
1 50% nepalese-a_xing +50% nepali_harappa @ 3.531682
Using 3 populations approximation:
1 50% nepalese-a_xing +25% nepali_harappa +25% rajasthani-brahmin_harappa @ 3.168590
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++
1 bengali_harappa + haryana-jatt_harappa + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa @ 2.853726
2 bengali_harappa + haryana-jatt_harappa + haryana-jatt_harappa + nepalese-a_xing @ 3.092963
3 bengali_harappa + burusho_hgdp + haryana-jatt_harappa + rajasthani-brahmin_harappa @ 3.097646
4 bengali_harappa + haryana-jatt_harappa + nepalese-a_xing + rajasthani-brahmin_harappa @ 3.105414
5 nepalese-a_xing + nepalese-a_xing + nepali_harappa + rajasthani-brahmin_harappa @ 3.168590
6 bengali-brahmin_harappa + bengali-brahmin_harappa + burusho_hgdp + haryana-jatt_harappa @ 3.174832
7 bengali_harappa + haryana-jatt_harappa + haryana-jatt_harappa + rajasthani-brahmin_harappa @ 3.199758
8 bengali_harappa + burusho_hgdp + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa @ 3.219703
9 bengali-brahmin_harappa + nepali_harappa + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa @ 3.237677
10 bengali_harappa + haryana-jatt_harappa + punjabi-jatt-sikh_harappa + rajasthani-brahmin_harappa @ 3.238551
11 bengali_harappa + haryana-jatt_harappa + nepalese-a_xing + punjabi-khatri_harappa @ 3.247798
12 bengali-brahmin_harappa + haryana-jatt_harappa + nepalese-a_xing + nepali_harappa @ 3.286842
13 burusho_hgdp + haryana-jatt_harappa + haryana-jatt_harappa + tharu_reich @ 3.312049
14 nepalese-a_xing + nepali_harappa + rajasthani-brahmin_harappa + rajasthani-brahmin_harappa @ 3.341566
15 nepalese-a_xing + nepali_harappa + nepali_harappa + rajasthani-brahmin_harappa @ 3.353921
16 bengali_harappa + haryana-jatt_harappa + nepalese-a_xing + punjabi-jatt-sikh_harappa @ 3.354782
17 bengali_harappa + haryana-jatt_harappa + haryana-jatt_harappa + punjabi-brahmin_harappa @ 3.369574
18 bengali-brahmin_harappa + haryana-jatt_harappa + nepalese-a_xing + rajasthani-brahmin_harappa @ 3.370807
19 bengali_harappa + burusho_hgdp + haryana-jatt_harappa + nepalese-a_xing @ 3.374277
20 bengali_harappa + burusho_hgdp + haryana-jatt_harappa + up-brahmin_harappa @ 3.376114
Kaazi
10-29-2021, 07:18 AM
AG User Nepali Brahmin kit (Poi's Mother-in-law). High NE-Euro.
Population
S-Indian 33.85
Baloch 33.41
Caucasian 7.43
NE-Euro 15.62
SE-Asian -
Siberian -
NE-Asian 5.22
Papuan 0.39
American 1.45
Beringian 0.38
Mediterranean 2.11
SW-Asian -
San -
E-African -
Pygmy 0.15
W-African -
Kaazi
10-29-2021, 07:24 AM
East Asian higher than Chhetris like the previous 3 Thakuri (Singh, Malla, Raya) kits.
Likely a Nepali Thakuri? 179835 SNPs used in this evaluation.
Admix Results (sorted):
# Population Percent
1 S-Indian 29.47
2 NE-Asian 24.64
3 Baloch 24.57
4 NE-Euro 7.38
5 Caucasian 4.95
6 Siberian 3.6
7 SE-Asian 1.76
8 SW-Asian 1.16
9 American 1.05
10 Papuan 0.86
11 Beringian 0.49
12 Mediterranean 0.07
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 3.73
2 burusho (hgdp) 23.56
3 nepalese-a (xing) 23.74
4 up-muslim (harappa) 24.5
5 kashmiri (harappa) 25.14
6 bengali (harappa) 25.18
7 bengali-brahmin (harappa) 25.77
8 gujarati-muslim (harappa) 26.04
9 bihari-muslim (harappa) 26.19
10 punjabi (harappa) 26.5
11 hazara (hgdp) 26.79
12 punjabi-jatt-muslim (harappa) 27.02
13 kashmiri-pandit (reich) 27.03
14 kashmiri-pahari (harappa) 27.2
15 singapore-indian-c (sgvp) 27.32
16 uyghur (hgdp) 27.33
17 up-brahmin (harappa) 27.75
18 punjabi-brahmin (harappa) 27.8
19 punjabi-jatt-sikh (harappa) 27.92
20 punjabi-ramgarhia (harappa) 27.99
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 89.9% nepalese-c (xing) + 10.1% uyghur (hgdp) @ 2.11
2 51.6% singapore-indian-c (sgvp) + 48.4% nepalese-b (xing) @ 2.15
3 90.2% nepalese-c (xing) + 9.8% hazara (hgdp) @ 2.33
4 55.1% nepalese-a (xing) + 44.9% nepalese-b (xing) @ 2.35
5 66.4% brahmin-uttar-pradesh (metspalu) + 33.6% tu (hgdp) @ 2.36
6 51.1% punjabi-brahmin (harappa) + 48.9% nepalese-b (xing) @ 2.39
7 93.1% nepalese-c (xing) + 6.9% kyrgyz (xing) @ 2.39
8 93% nepalese-c (xing) + 7% kazakh (harappa) @ 2.4
9 93.4% nepalese-c (xing) + 6.6% kyrgyz (hodoglugil) @ 2.48
10 69.7% up-brahmin (harappa) + 30.3% naga (metspalu) @ 2.48
11 91.4% nepalese-c (xing) + 8.6% uzbek (behar) @ 2.49
12 66.2% vaish (reich) + 33.8% tu (hgdp) @ 2.59
13 52.4% punjabi (harappa) + 47.6% nepalese-b (xing) @ 2.6
14 94.5% nepalese-c (xing) + 5.5% altaian (rasmussen) @ 2.62
15 68.4% up-brahmin (harappa) + 31.6% tibet (simonson) @ 2.65
16 70% up-brahmin (harappa) + 30% aonaga (reich) @ 2.68
17 51% punjabi-ramgarhia (harappa) + 49% nepalese-b (xing) @ 2.7
18 69.3% up-brahmin (harappa) + 30.7% nysha (reich) @ 2.71
19 94.9% nepalese-c (xing) + 5.1% mongolian (rasmussen) @ 2.74
20 95.7% nepalese-c (xing) + 4.3% chuvash (behar) @ 2.76
Godardt
10-29-2021, 07:29 AM
Oh nice Bhai. Thanks their NEA is slightly more than Chettris. Chettris wud be 20 or under.
Sent from my Mi 10 using Tapatalk
AG User Nepali Brahmin kit (Poi's Mother-in-law). High NE-Euro.
Population
S-Indian 33.85
Baloch 33.41
Caucasian 7.43
NE-Euro 15.62
SE-Asian -
Siberian -
NE-Asian 5.22
Papuan 0.39
American 1.45
Beringian 0.38
Mediterranean 2.11
SW-Asian -
San -
E-African -
Pygmy 0.15
W-African -
It is quite high indeed, slightly higher than the Pashtun or Afghan Tajik average would be.
Kaazi
10-29-2021, 09:34 AM
Oh nice Bhai. Thanks their NEA is slightly more than Chettris. Chettris wud be 20 or under.
Sent from my Mi 10 using Tapatalk
Ya, the 3 Thakuri kits are consistently 25-27 NE-Asian and 30-32 total East Asian. While 8 Chhetri kits are 18-20 NE-Asian and total 25 East Asian.
It is quite high indeed, slightly higher than the Pashtun or Afghan Tajik average would be.
Below are Nepali Brahmins with approx. 15% and more NE-Euro. Is Pashtun average around 15?
Poi's wifehttps://anthrogenica.com/showthread.php?15471-South-Asian-HarappaWorld-results&p=662404&viewfull=1#post662404
https://i.imgur.com/u3Y2Mbvr.png
Khatiwada - the highest NE-Euro figure. https://anthrogenica.com/showthread.php?15471-South-Asian-HarappaWorld-results&p=650110&viewfull=1#post650110
Population Percent
1 S-Indian 35.22
2 Baloch 33.37
3 NE-Euro 16.54
4 Caucasian 5.92
5 NE-Asian 4.39
6 E-African 1.29
7 SE-Asian 1.25
8 American 0.84
9 Pygmy 0.47
10 Siberian 0.32
11 Papuan 0.22
12 Mediterranean 0.18
Poi's mother-in-law https://anthrogenica.com/showthread.php?14684-S-SC-ASIAN-Results-AncestryDNA&p=432693&viewfull=1#post432693
Population
S-Indian 33.85
Baloch 33.41
Caucasian 7.43
NE-Euro 15.62
SE-Asian -
Siberian -
NE-Asian 5.22
Papuan 0.39
American 1.45
Beringian 0.38
Mediterranean 2.11
SW-Asian -
San -
E-African -
Pygmy 0.15
W-African -
Sharma (Dumbo007) https://anthrogenica.com/showthread.php?15471-South-Asian-HarappaWorld-results&p=705672&viewfull=1#post705672
Admix Results (sorted):
# Population Percent
1 S-Indian 35.05
2 Baloch 31.24
3 NE-Euro 15.55
4 NE-Asian 6.3
5 Caucasian 5.91
6 Mediterranean 2.24
7 SW-Asian 1.2
8 American 1.03
9 Papuan 0.58
10 Beringian 0.53
11 SE-Asian 0.38
Nepali Khas Brahmin (Gautam)
Admix Results (sorted):
# Population Percent
1 S-Indian 34.39
2 Baloch 32.98
3 NE-Euro 14.96
4 Caucasian 7.29
5 NE-Asian 4.36
6 Beringian 1.41
7 Papuan 1.08
8 Siberian 0.94
9 American 0.88
10 Mediterranean 0.86
11 SE-Asian 0.61
12 SW-Asian 0.24
Nepali Khas Brahmin (Upadhyay) 163612 SNPs used in this evaluation. Y haplo: R1a1a, mt haplo: R
Admix Results (sorted):
# Population Percent
1 S-Indian 35.98
2 Baloch 32.65
3 NE-Euro 14.92
4 Caucasian 6.69
5 NE-Asian 2.91
6 Siberian 2.72
7 Mediterranean 1.79
8 American 1.19
9 Beringian 0.69
10 Papuan 0.47
Godardt
10-29-2021, 09:37 AM
Sudur Paschim lot look different. My relatives look less east Asian influenced than some of the Chettris. Have you any idea about the location of these kits.
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Kaazi
10-29-2021, 10:01 AM
Sudur Paschim lot look different. My relatives look less east Asian influenced than some of the Chettris. Have you any idea about the location of these kits.
Sent from my Mi 10 using Tapatalk
Ya, there could be selection of traits/phenotypes among Sudurpashchim Thakuris and people can be half Mongoloid genetically and yet look South Asian. Phenotype doesn't ensure genotypes and it's a function of limited amount of genes. Becoz Thakuri was not created yesterday, it was there as a sepaarate caste for hundreds of years. So, endogamy averages out ancestry.
The Malla Thakuri posted previously said he's from Sudurpashchim and he's a straight 26 NE-Asian. So, I don't think Chands will score less East Asian than Chhetris except those marrying among Indian Rajputs. The previous Shahi Thakuri was from Jumla, Karnali Pradesh. The Thakuri Singh and Raya kit could be anywhere from Nepal.
This is the average of 6 Thakuri like kits from gedmatch to get a tentative idea. NE Asian seems consistent 25-26 in these kits while we all know that South Asian portion has always been diverse from high IranN to high Steppe like the Malla and Singh's differences, Adhikari and Khatiwada's differences.
Current Nepali Thakuri Harappaworld average (6 kits)
S-Indian: 31.79%
Baloch: 22.70%
Caucasian: 4.11%
NE-Euro: 6.34%
SE-Asian: 1.46%
Siberian: 3.97%
NE-Asian: 25.46%
Papuan: 0.92%
American: 1.28%
Beringian: 0.30%
Mediterranean: 1.05%
SW-Asian: 0.25%
San: 0.00%
E-African: 0.00%
Pygmy: 0.14%
W-African: 0.00%
Below are Nepali Brahmins with approx. 15% and more NE-Euro. Is Pashtun average around 15?
Poi's wifehttps://anthrogenica.com/showthread.php?15471-South-Asian-HarappaWorld-results&p=662404&viewfull=1#post662404
https://i.imgur.com/u3Y2Mbvr.png
Khatiwada - the highest NE-Euro figure. https://anthrogenica.com/showthread.php?15471-South-Asian-HarappaWorld-results&p=650110&viewfull=1#post650110
Population Percent
1 S-Indian 35.22
2 Baloch 33.37
3 NE-Euro 16.54
4 Caucasian 5.92
5 NE-Asian 4.39
6 E-African 1.29
7 SE-Asian 1.25
8 American 0.84
9 Pygmy 0.47
10 Siberian 0.32
11 Papuan 0.22
12 Mediterranean 0.18
Poi's mother-in-law https://anthrogenica.com/showthread.php?14684-S-SC-ASIAN-Results-AncestryDNA&p=432693&viewfull=1#post432693
Population
S-Indian 33.85
Baloch 33.41
Caucasian 7.43
NE-Euro 15.62
SE-Asian -
Siberian -
NE-Asian 5.22
Papuan 0.39
American 1.45
Beringian 0.38
Mediterranean 2.11
SW-Asian -
San -
E-African -
Pygmy 0.15
W-African -
Sharma (Dumbo007) https://anthrogenica.com/showthread.php?15471-South-Asian-HarappaWorld-results&p=705672&viewfull=1#post705672
Admix Results (sorted):
# Population Percent
1 S-Indian 35.05
2 Baloch 31.24
3 NE-Euro 15.55
4 NE-Asian 6.3
5 Caucasian 5.91
6 Mediterranean 2.24
7 SW-Asian 1.2
8 American 1.03
9 Papuan 0.58
10 Beringian 0.53
11 SE-Asian 0.38
Nepali Khas Brahmin (Gautam)
Admix Results (sorted):
# Population Percent
1 S-Indian 34.39
2 Baloch 32.98
3 NE-Euro 14.96
4 Caucasian 7.29
5 NE-Asian 4.36
6 Beringian 1.41
7 Papuan 1.08
8 Siberian 0.94
9 American 0.88
10 Mediterranean 0.86
11 SE-Asian 0.61
12 SW-Asian 0.24
Nepali Khas Brahmin (Upadhyay) 163612 SNPs used in this evaluation. Y haplo: R1a1a, mt haplo: R
Admix Results (sorted):
# Population Percent
1 S-Indian 35.98
2 Baloch 32.65
3 NE-Euro 14.92
4 Caucasian 6.69
5 NE-Asian 2.91
6 Siberian 2.72
7 Mediterranean 1.79
8 American 1.19
9 Beringian 0.69
10 Papuan 0.47
I think on Harappa it's more like 12-13% but on Dodecad it should be a bit higher. The former gives a bit less North European to Central and South Asians than the latter.
I know the thread is about Nepalese DNA but do you happen to know if the Bihar Brahmins are the same as the Uttar Pradesh ones? Specifically Maithil Brahmins.
Godardt
10-29-2021, 12:12 PM
Bhai can I share some of these thakuri results on my FB page. I don't want to without your consent. It is always a good online etiquette to request.
Sent from my Mi 10 using Tapatalk
I wonder Tharu results a lot. Cus Harappaworld say they're only 7% Mongoloid but their phenotypes look very Tibetan :confused:
Kaazi
10-29-2021, 01:07 PM
I think on Harappa it's more like 12-13% but on Dodecad it should be a bit higher. The former gives a bit less North European to Central and South Asians than the latter.
I know the thread is about Nepalese DNA but do you happen to know if the Bihar Brahmins are the same as the Uttar Pradesh ones? Specifically Maithil Brahmins.
True indeed. The Maithil Bihari Brahmins are same as Eastern Uttar Pradesh Brahmins.
Jha, maithil brahmins
Admix Results (sorted):
# Population Percent
1 S-Indian 41.8
2 Baloch 33.64
3 NE-Euro 10.12
4 Caucasian 6.87
5 Mediterranean 3.62
6 American 2.41
7 SE-Asian 0.98
8 Beringian 0.49
9 E-African 0.07
Single Population Sharing:
# Population (source) Distance
1 brahmin-uttar-pradesh (metspalu) 4.05
2 bengali-brahmin (harappa) 4.1
3 vaish (reich) 4.78
4 bihari-muslim (harappa) 4.9
5 up-brahmin (harappa) 5.3
6 up-kshatriya (metspalu) 5.81
7 karnataka-brahmin (harappa) 6.44
8 maharashtrian (harappa) 7.15
9 gujarati-b (hapmap) 7.15
10 meghawal (reich) 7.35
11 gujarati (harappa) 7.83
12 up-muslim (harappa) 8.38
13 tn-brahmin (xing) 8.47
14 iyer-brahmin (harappa) 8.5
15 brahmin-tamil-nadu (metspalu) 8.55
16 iyengar-brahmin (harappa) 8.66
17 ap-brahmin (xing) 8.78
18 rajasthani (harappa) 9.24
19 up (harappa) 9.57
20 bihari (harappa) 9.76
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 57.1% haryana-jatt (harappa) + 42.9% hallaki (reich) @ 2.31
2 91.6% up-kshatriya (metspalu) + 8.4% bulgarian (yunusbayev) @ 2.46
3 88.3% tn-brahmin (xing) + 11.7% slovenian (xing) @ 2.52
4 91.5% up-kshatriya (metspalu) + 8.5% romanian-a (behar) @ 2.54
5 88.2% tn-brahmin (xing) + 11.8% hungarian (behar) @ 2.55
6 86.6% up-kshatriya (metspalu) + 13.4% romanian-b (behar) @ 2.62
7 88.8% tn-brahmin (xing) + 11.2% ukranian (yunusbayev) @ 2.63
8 59.9% caribbean-indian (harappa) + 40.1% haryana-jatt (harappa) @ 2.65
9 91.9% up-kshatriya (metspalu) + 8.1% tuscan (1000genomes) @ 2.67
10 57.5% haryana-jatt (harappa) + 42.5% singapore-indian-a (sgvp) @ 2.68
11 88.2% iyer-brahmin (harappa) + 11.8% hungarian (behar) @ 2.69
12 58% haryana-jatt (harappa) + 42% piramalai-kallar (metspalu) @ 2.7
13 53% haryana-jatt (harappa) + 47% lodi (reich) @ 2.7
14 88.3% iyer-brahmin (harappa) + 11.7% slovenian (xing) @ 2.71
15 91.7% up-kshatriya (metspalu) + 8.3% ashkenazi (harappa) @ 2.72
16 55.9% haryana-jatt (harappa) + 44.1% kol (metspalu) @ 2.75
17 62.9% haryana-jatt (harappa) + 37.1% sakilli (chaubey) @ 2.75
18 89.5% tn-brahmin (xing) + 10.5% belorussian (behar) @ 2.76
19 89.4% tn-brahmin (xing) + 10.6% russian (behar) @ 2.77
20 86.7% brahmin-uttar-pradesh (metspalu) + 13.3% bene-israel-jew (behar) @ 2.77
Admix Results (sorted):
# Population Percent
1 S-Indian 41.58
2 Baloch 34.91
3 NE-Euro 12.17
4 Caucasian 4.34
5 Mediterranean 3.1
6 American 1.22
7 Siberian 1.1
8 Beringian 0.93
9 Papuan 0.47
10 SE-Asian 0.15
11 San 0.04
Single Population Sharing:
# Population (source) Distance
1 brahmin-uttar-pradesh (metspalu) 1.89
2 up-brahmin (harappa) 3.66
3 vaish (reich) 3.72
4 bengali-brahmin (harappa) 3.96
5 up-kshatriya (metspalu) 5.37
6 bihari-muslim (harappa) 5.92
7 gujarati-b (hapmap) 6.77
8 karnataka-brahmin (harappa) 7.05
9 meghawal (reich) 7.43
10 maharashtrian (harappa) 7.77
11 gujarati (harappa) 7.78
12 nepalese-a (xing) 8.57
13 iyengar-brahmin (harappa) 8.7
14 iyer-brahmin (harappa) 8.88
15 ap-brahmin (xing) 9.06
16 tn-brahmin (xing) 9.1
17 brahmin-tamil-nadu (metspalu) 9.15
18 up-muslim (harappa) 9.66
19 rajasthani (harappa) 9.96
20 up (harappa) 10.15
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 97.8% brahmin-uttar-pradesh (metspalu) + 2.2% basque (hgdp) @ 1
2 97.8% brahmin-uttar-pradesh (metspalu) + 2.2% spain-basc (henn2012) @ 1
3 97.6% brahmin-uttar-pradesh (metspalu) + 2.4% spaniard (1000genomes) @ 1.1
4 97.5% brahmin-uttar-pradesh (metspalu) + 2.5% puerto-rican (1000genomes) @ 1.13
5 98.1% brahmin-uttar-pradesh (metspalu) + 1.9% sardinian (hgdp) @ 1.18
6 97.6% brahmin-uttar-pradesh (metspalu) + 2.4% colombian (1000genomes) @ 1.19
7 92.8% up-kshatriya (metspalu) + 7.2% belorussian (behar) @ 1.19
8 97.7% brahmin-uttar-pradesh (metspalu) + 2.3% french (hgdp) @ 1.2
9 92.4% up-kshatriya (metspalu) + 7.6% mordovian (yunusbayev) @ 1.21
10 93.2% up-kshatriya (metspalu) + 6.8% lithuanian (behar) @ 1.21
11 92.4% up-kshatriya (metspalu) + 7.6% ukranian (yunusbayev) @ 1.22
12 92.8% up-kshatriya (metspalu) + 7.2% russian (behar) @ 1.23
13 97.8% brahmin-uttar-pradesh (metspalu) + 2.2% british (1000genomes) @ 1.25
14 98.1% brahmin-uttar-pradesh (metspalu) + 1.9% tunisia (henn2012) @ 1.25
15 97.8% brahmin-uttar-pradesh (metspalu) + 2.2% utahn-white (1000genomes) @ 1.26
16 97.8% brahmin-uttar-pradesh (metspalu) + 2.2% orcadian (hgdp) @ 1.27
17 97.8% brahmin-uttar-pradesh (metspalu) + 2.2% italian (hgdp) @ 1.27
18 97.8% brahmin-uttar-pradesh (metspalu) + 2.2% n-european (xing) @ 1.29
19 98.1% brahmin-uttar-pradesh (metspalu) + 1.9% morocco-n (henn2012) @ 1.29
20 98.1% brahmin-uttar-pradesh (metspalu) + 1.9% algeria (henn2012) @ 1.38
Admix Results (sorted):
# Population Percent
1 S-Indian 41.4
2 Baloch 34.49
3 NE-Euro 13.84
4 Caucasian 4.34
5 Beringian 2.12
6 Mediterranean 1.67
7 SE-Asian 0.66
8 American 0.56
9 E-African 0.38
10 Papuan 0.29
11 San 0.17
12 Pygmy 0.07
13 Siberian 0.02
Single Population Sharing:
# Population (source) Distance
1 brahmin-uttar-pradesh (metspalu) 3.07
2 up-brahmin (harappa) 4.03
3 bengali-brahmin (harappa) 4.88
4 vaish (reich) 5.08
5 up-kshatriya (metspalu) 6.94
6 bihari-muslim (harappa) 7.12
7 gujarati-b (hapmap) 8.09
8 karnataka-brahmin (harappa) 8.37
9 meghawal (reich) 8.72
10 nepalese-a (xing) 8.76
11 maharashtrian (harappa) 9
12 gujarati (harappa) 9.04
13 iyengar-brahmin (harappa) 9.82
14 iyer-brahmin (harappa) 10.15
15 brahmin-tamil-nadu (metspalu) 10.27
16 ap-brahmin (xing) 10.29
17 up-muslim (harappa) 10.34
18 tn-brahmin (xing) 10.46
19 punjabi-brahmin (harappa) 10.8
20 singapore-indian-c (sgvp) 10.87
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 97.1% brahmin-uttar-pradesh (metspalu) + 2.9% finnish (1000genomes) @ 2.02
2 97.1% brahmin-uttar-pradesh (metspalu) + 2.9% west-greenlander (rasmussen) @ 2.07
3 96.9% brahmin-uttar-pradesh (metspalu) + 3.1% lithuanian (behar) @ 2.1
4 96.8% brahmin-uttar-pradesh (metspalu) + 3.2% russian (behar) @ 2.15
5 96.8% brahmin-uttar-pradesh (metspalu) + 3.2% belorussian (behar) @ 2.16
6 96.6% brahmin-uttar-pradesh (metspalu) + 3.4% mordovian (yunusbayev) @ 2.18
7 96.7% brahmin-uttar-pradesh (metspalu) + 3.3% ukranian (yunusbayev) @ 2.23
8 88.9% gujarati (harappa) + 11.1% lithuanian (behar) @ 2.31
9 97.8% brahmin-uttar-pradesh (metspalu) + 2.2% east-greenlander (rasmussen) @ 2.31
10 89.8% gujarati (harappa) + 10.2% finnish (1000genomes) @ 2.32
11 96.6% brahmin-uttar-pradesh (metspalu) + 3.4% chuvash (behar) @ 2.34
12 96.8% brahmin-uttar-pradesh (metspalu) + 3.2% slovenian (xing) @ 2.35
13 96.9% brahmin-uttar-pradesh (metspalu) + 3.1% n-european (xing) @ 2.37
14 97% brahmin-uttar-pradesh (metspalu) + 3% utahn-white (hapmap) @ 2.39
15 96.9% brahmin-uttar-pradesh (metspalu) + 3.1% hungarian (behar) @ 2.39
16 98% brahmin-uttar-pradesh (metspalu) + 2% chukchi (rasmussen) @ 2.4
17 97.1% brahmin-uttar-pradesh (metspalu) + 2.9% orcadian (hgdp) @ 2.41
18 97% brahmin-uttar-pradesh (metspalu) + 3% utahn-white (1000genomes) @ 2.43
19 97.1% brahmin-uttar-pradesh (metspalu) + 2.9% british (1000genomes) @ 2.44
20 97.9% brahmin-uttar-pradesh (metspalu) + 2.1% koryak (rasmussen) @ 2.46
Admix Results (sorted):
# Population Percent
1 S-Indian 40.03
2 Baloch 32.66
3 NE-Euro 13.3
4 Caucasian 3.33
5 Mediterranean 2.72
6 Siberian 1.88
7 SE-Asian 1.83
8 American 1.2
9 E-African 0.91
10 Papuan 0.88
11 SW-Asian 0.7
12 NE-Asian 0.55
Single Population Sharing:
# Population (source) Distance
1 bengali-brahmin (harappa) 4.34
2 brahmin-uttar-pradesh (metspalu) 4.71
3 up-brahmin (harappa) 5.73
4 vaish (reich) 5.92
5 bihari-muslim (harappa) 6.97
6 up-kshatriya (metspalu) 7.83
7 nepalese-a (xing) 8.3
8 karnataka-brahmin (harappa) 8.95
9 gujarati-b (hapmap) 9.46
10 up-muslim (harappa) 9.71
11 meghawal (reich) 9.73
12 maharashtrian (harappa) 9.88
13 gujarati (harappa) 10.23
14 iyengar-brahmin (harappa) 10.95
15 ap-brahmin (xing) 11.07
16 iyer-brahmin (harappa) 11.27
17 singapore-indian-c (sgvp) 11.5
18 tn-brahmin (xing) 11.51
19 punjabi-ramgarhia (harappa) 11.53
20 bihari (harappa) 11.53
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 90.9% vaish (reich) + 9.1% chuvash (behar) @ 1.98
2 88% karnataka-brahmin (harappa) + 12% russian (hgdp) @ 2.23
3 89.4% up-kshatriya (metspalu) + 10.6% russian (hgdp) @ 2.24
4 95% bengali-brahmin (harappa) + 5% lithuanian (behar) @ 2.33
5 92.1% vaish (reich) + 7.9% russian (hgdp) @ 2.33
6 89.1% up-kshatriya (metspalu) + 10.9% mordovian (yunusbayev) @ 2.34
7 91.8% vaish (reich) + 8.2% mordovian (yunusbayev) @ 2.34
8 95.4% bengali-brahmin (harappa) + 4.6% finnish (1000genomes) @ 2.34
9 88.9% karnataka-brahmin (harappa) + 11.1% lithuanian (behar) @ 2.36
10 84.9% ap-brahmin (xing) + 15.1% mordovian (yunusbayev) @ 2.39
11 94.6% bengali-brahmin (harappa) + 5.4% russian (hgdp) @ 2.41
12 87.6% karnataka-brahmin (harappa) + 12.4% mordovian (yunusbayev) @ 2.42
13 91.1% up-kshatriya (metspalu) + 8.9% finnish (1000genomes) @ 2.45
14 85.5% ap-brahmin (xing) + 14.5% russian (hgdp) @ 2.47
15 88.2% up-kshatriya (metspalu) + 11.8% chuvash (behar) @ 2.48
16 89.7% up-kshatriya (metspalu) + 10.3% russian (behar) @ 2.49
17 94.5% bengali-brahmin (harappa) + 5.5% mordovian (yunusbayev) @ 2.51
18 89.8% up-kshatriya (metspalu) + 10.2% belorussian (behar) @ 2.53
19 94.9% bengali-brahmin (harappa) + 5.1% belorussian (behar) @ 2.53
20 94.6% bengali-brahmin (harappa) + 5.4% orcadian (hgdp) @ 2.55
Bhai can I share some of these thakuri results on my FB page. I don't want to without your consent. It is always a good online etiquette to request.
Sent from my Mi 10 using Tapatalk
No problem at all. I posted these kits for all of you enthusiast guys. The Shahi kit is mixed, so better not to post the Shahi.
I wonder Tharu results a lot. Cus Harappaworld say they're only 7% Mongoloid but their phenotypes look very Tibetan :confused:
Tharus are half Tibetan half South Asian. Some are mixed with Gangetic folks, so the East Asian is reduced in them. A typical Tharu shows East Asian features a lot.
3 of these kits are typical Tharus.
SampleS-IndianBalochPygmyAmericanSiberianNE-AsianPapuanSE-AsianBeringianMediterraneanNE-EuroSW-AsianCaucasianTharu ► D25467.9232.080.010.01000000000
Tharu ► D26050.9332.8101.150.0100.372.892.020.46.2503.17
Tharu ► Te1833.128.4801.443.646.041.863.961.320.18000
Tharu ► Te1532.6110.5200.524.0942.271.45.872.0700.640.010
Tharu ► Te0632.457.46005.6244.322.725.7601.67000
Tharu ► Te0928.8724.9401.783.2226.690.750.362.070.845.080. 165.24
Tharu ► Te1627.8619.1300.916.3335.881.920003.130.764.08
Tharu average is 60 percent Chokhopani/Tibetan and rest 40 percent South Asian.
Target: Tharu
Distance: 2.7037% / 0.02703749
60.8 NPL_Chokhopani_2700BP
39.2 IRN_Shahr_I_Sokhta_BA3
Academic Tharu average for Dodecad
Tharu,15.85,4.64,0.19,10.28,0.34,2.39,31.17,0.00,0 .13,34.60,0.41,0.00
Quite strongly Mongoloid, basically half. I didn't know this tribe/ethnic group.
Thambi
10-29-2021, 10:40 PM
Chhetri (Karki)
Kit FW5124484
# Population Percent
1 S-Indian 29.18
2 NE-Asian 26.87
3 Baloch 22.32
4 Siberian 6.38
5 NE-Euro 5.06
6 SE-Asian 4.42
7 Caucasian 2.62
8 Mediterranean 1.52
9 Beringian 1.03
10 Papuan 0.6
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 7.54
2 hazara (hgdp) 25.88
3 nepalese-b (xing) 26
4 uyghur (hgdp) 26.55
5 bengali (harappa) 26.91
6 burusho (hgdp) 27.55
7 nepalese-a (xing) 27.57
8 up-muslim (harappa) 28.22
9 khasi (chaubey) 28.93
10 bengali-brahmin (harappa) 28.96
11 bihari-muslim (harappa) 29.29
12 kashmiri (harappa) 29.3
13 uzbek (behar) 29.82
14 gujarati-muslim (harappa) 29.87
15 punjabi (harappa) 30.46
16 punjabi-jatt-muslim (harappa) 30.94
17 kashmiri-pandit (reich) 31.01
18 kashmiri-pahari (harappa) 31.12
19 cochin-jew (behar) 31.22
20 singapore-indian-c (sgvp) 31.28
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 63.5% up-kshatriya (metspalu) + 36.5% japanese (hgdp) @ 1.98
2 65.7% bihari-muslim (harappa) + 34.3% japanese (hgdp) @ 2.12
3 63.9% karnataka-brahmin (harappa) + 36.1% japanese (hgdp) @ 2.44
4 63.9% vaish (reich) + 36.1% japanese (hgdp) @ 2.46
5 63.1% meghawal (reich) + 36.9% japanese (hgdp) @ 2.63
6 66% bengali-brahmin (harappa) + 34% japanese (hgdp) @ 2.68
7 63.7% maharashtrian (harappa) + 36.3% japanese (hgdp) @ 2.77
8 61.9% up-kshatriya (metspalu) + 38.1% tu (hgdp) @ 2.88
9 64.2% bihari-muslim (harappa) + 35.8% tu (hgdp) @ 2.93
10 62.7% iyengar-brahmin (harappa) + 37.3% japanese (hgdp) @ 2.98
11 61.6% karnataka-brahmin (harappa) + 38.4% xibo (hgdp) @ 3.09
12 62.3% karnataka-brahmin (harappa) + 37.7% tu (hgdp) @ 3.11
13 60.5% ap-brahmin (xing) + 39.5% xibo (hgdp) @ 3.14
14 61% gujarati (harappa) + 39% xibo (hgdp) @ 3.17
15 60.3% iyer-brahmin (harappa) + 39.7% xibo (hgdp) @ 3.2
16 63.3% gujarati (harappa) + 36.7% japanese (hgdp) @ 3.24
17 60.4% iyengar-brahmin (harappa) + 39.6% xibo (hgdp) @ 3.24
18 62.8% ap-brahmin (xing) + 37.2% japanese (hgdp) @ 3.25
19 64.5% bengali-brahmin (harappa) + 35.5% tu (hgdp) @ 3.26
20 61.5% meghawal (reich) + 38.5% tu (hgdp) @ 3.27
I wonder Tharu results a lot. Cus Harappaworld say they're only 7% Mongoloid but their phenotypes look very Tibetan :confused:
Thats why you can’t rely on any calculator for total Mongoloid.
You’ve already seen how 23andme is able to make Turks 0 mongoloid.
We can even make Kazakh 0 mongoloid if we want. All we have to do is make 1 component Chinese Han and the 2nd component Central Asian. We can make Kazakh score near 0 E. Asian and near 100% C. Asian
If we want to make Kurds 0 Mongoloid all we have to do is make one component Caucasian and the other W.Asian since we know Kurds have alot of ancestry from there and will score nearly 100% Caucasian and W. Asian. This way their E. Asian will be forced to zero. If we want to make Kurds very mongoloid we don’t use any Caucasian or W. Asian. Instead we use African and W. European. This way they’ll score high E. Asian
If we want to make Turks 0 mongoloid we should use a Balkan and W Asian and Greek components. If we want to make Turks very mongoloid we leave out Balkan, W. Asian and Greek components.
So you may ask how do we know how mongoloid a person is? The only way I know is to do one to one comparison of person with E. Asians and Siberians and count how many genes they match with the oerson in IBS. If you do this the mystery of why some west Asians have Mongoloid phenotype but score a little mongoloid on calculators will be largely solved
Komintasavalta
10-29-2021, 11:37 PM
Thats why you can’t rely on any calculator for total Mongoloid.
You’ve already seen how 23andme is able to make Turks 0 mongoloid.
We can even make Kazakh 0 mongoloid if we want. All we have to do is make 1 component Chinese Han and the 2nd component Central Asian. We can make Kazakh score near 0 E. Asian and near 100% C. Asian
If we want to make Kurds 0 Mongoloid all we have to do is make one component Caucasian and the other W.Asian since we know Kurds have alot of ancestry from there and will score nearly 100% Caucasian and W. Asian. This way their E. Asian will be forced to zero. If we want to make Kurds very mongoloid we don’t use any Caucasian or W. Asian. Instead we use African and W. European. This way they’ll score high E. Asian
If we want to make Turks 0 mongoloid we should use a Balkan and W Asian and Greek components. If we want to make Turks very mongoloid we leave out Balkan, W. Asian and Greek components.
So you may ask how do we know how mongoloid a person is? The only way I know is to do one to one comparison of person with E. Asians and Siberians and count how many genes they match with the oerson in IBS. If you do this the mystery of why some west Asians have Mongoloid phenotype but score a little mongoloid on calculators will be largely solved
I came up with a new way to estimate the amount of Mongoloid ancestry. I'm using qpGraph to model populations as a combination of the common ancestor of two Caucasoid populations and the common ancestor of two Mongoloid populations:
library(admixtools)
library(tidyverse)
p1=c("Lithuanian","Sardinian")
p2=c("Mongol","Han")
p3=c("Tharu","Finnish","Kurd","Kazakh","Russia_HG_Karelia","Turkey_N","Italy_North_Villabruna_HG","Russia_Samara_EBA_Yamnaya","Sherpa","Newar","Bahun","Rai","Tamang","Gurung","Magar","Japanese","Enets","Nganasan","French","Uyghur")
f2=f2_from_geno("v50.0_HO_public",pops=c(p1,p2,p3),maxmiss=1)
res=sapply(p3,function(x){
tree=rbind(c("R","A"),c("R","B"),c("A","C"),c("B","C"),cbind("A",p1),cbind("B",p2),c("C",x))
gr=qpgraph(f2,tree)
w=(gr$edges%>%filter(from=="B"&to=="C"))$weight
list(w,gr$score)
})%>%apply(1,unlist)
res=res[order(res[,1]),]
paste(sprintf("%.1f",100*res[,1]),rownames(res),round(res[,2]))%>%writeLines
# x="Tharu"
# tree=rbind(c("R","A"),c("R","B"),c("A","C"),c("B","C"),cbind("A",p1),cbind("B",p2),c("C",x))
# gr=qpgraph(f2,tree)
# plot_graph(gr$edges)
# ggsave("1.png",width=4,height=4)
Result:
0.0 Turkey_N 2144
0.0 Italy_North_Villabruna_HG 1311
0.5 French 1616
6.9 Finnish 1312
8.8 Kurd 1444
9.6 Russia_Samara_EBA_Yamnaya 1463
19.9 Russia_HG_Karelia 1454
39.1 Bahun 1345
55.7 Uyghur 1303
61.9 Newar 1949
66.2 Tharu 1816
70.2 Kazakh 1195
85.7 Tamang 2273
86.7 Magar 2257
86.8 Enets 1531
91.1 Gurung 2281
93.9 Rai 2231
97.0 Sherpa 2034
100.0 Japanese 3110
100.0 Nganasan 2433
For example the model for Tharu used a graph like this:
https://i.ibb.co/0yWq3gh/g.png
I came up with a new way to estimate the amount of Mongoloid ancestry. I'm using qpGraph to model populations as a combination of the common ancestor of two Caucasoid populations and the common ancestor of two Mongoloid populations:
library(admixtools)
library(tidyverse)
p1=c("Lithuanian","Sardinian")
p2=c("Mongol","Han")
p3=c("Tharu","Finnish","Kurd","Kazakh","Russia_HG_Karelia","Turkey_N","Italy_North_Villabruna_HG","Russia_Samara_EBA_Yamnaya","Sherpa","Newar","Bahun","Rai","Tamang","Gurung","Magar","Japanese","Enets","Nganasan","French","Uyghur")
f2=f2_from_geno("v50.0_HO_public",pops=c(p1,p2,p3),maxmiss=1)
res=sapply(p3,function(x){
tree=rbind(c("R","A"),c("R","B"),c("A","C"),c("B","C"),cbind("A",p1),cbind("B",p2),c("C",x))
gr=qpgraph(f2,tree)
w=(gr$edges%>%filter(from=="B"&to=="C"))$weight
list(w,gr$score)
})%>%apply(1,unlist)
res=res[order(res[,1]),]
paste(sprintf("%.1f",100*res[,1]),rownames(res),round(res[,2]))%>%writeLines
# x="Tharu"
# tree=rbind(c("R","A"),c("R","B"),c("A","C"),c("B","C"),cbind("A",p1),cbind("B",p2),c("C",x))
# gr=qpgraph(f2,tree)
# plot_graph(gr$edges)
# ggsave("1.png",width=4,height=4)
Result:
0.0 Turkey_N 2144
0.0 Italy_North_Villabruna_HG 1311
0.5 French 1616
6.9 Finnish 1312
8.8 Kurd 1444
9.6 Russia_Samara_EBA_Yamnaya 1463
19.9 Russia_HG_Karelia 1454
39.1 Bahun 1345
55.7 Uyghur 1303
61.9 Newar 1949
66.2 Tharu 1816
70.2 Kazakh 1195
85.7 Tamang 2273
86.7 Magar 2257
86.8 Enets 1531
91.1 Gurung 2281
93.9 Rai 2231
97.0 Sherpa 2034
100.0 Japanese 3110
100.0 Nganasan 2433
For example the model for Tharu used a graph like this:
https://i.ibb.co/0yWq3gh/g.png
I like your open thinking and skills but to be fair to our E. European friends since they also have some Siberian and E. Asian ancestry I wouldn’t use Lithuanians as proxy for W. Eurasian. Use something that you’re more sure that doesn’t have any Siberian or E. Asian. Maybe some W. African population as non mongoloid proxy
To be even more fair also use Siberian as Mongoloid and use a couple of different W. and E. Asian proxies and average the results
You can also try Basque as a W. Eurasian proxy. You can also do one run with 1000G only, the other with Simmons only since results will be different because they use different SNPs.
Ideally you want to use whole genomes to reduce bias but I don’t know if you can find whole genomes for many ethnicities
Komintasavalta
10-30-2021, 12:28 AM
I like your open thinking and skills but to be fair to our E. European friends since they also have some Siberian and E. Asian ancestry I wouldn’t use Lithuanians as proxy for W. Eurasian. Use something that you’re more sure that doesn’t have any Siberian or E. Asian. Maybe some W. African population as non mongoloid proxy
To be even more fair also use Siberian as Mongoloid and use a couple of different W. and E. Asian proxies and average the results
You can also try Basque as a W. Eurasian proxy. You can also do one run with 1000G only, the other with Simmons only since results will be different because they use different SNPs.
Ideally you want to use whole genomes to reduce bias but I don’t know if you can find whole genomes for many ethnicities
The results don't change that much if you add more references. I also tried to use Serbia_IronGates_Mesolithic and Turkey_N as the Caucasoid references, but for some reason it caused Finns to get only 3% Mongoloid ancestry.
Another dead simple method to estimate the percentage of Mongoloid ancestry of is to first do a PCA of Eurasian populations, and to then apply min-max scaling to PC1 so the smallest value becomes 0 and the largest value becomes 100. It gave the figure of 66% for Tharu, which is exactly the same as the result of my qpGraph model:
$ wget https://reichdata.hms.harvard.edu/pub/datasets/amh_repo/curated_releases/V50/V50.0/SHARE/public.dir/v50.0_HO_public.{anno,ind,snp,geno}
$ f=v50.0_HO_public;convertf -p <(printf %s\\n genotypename:\ $f.geno snpname:\ $f.snp indivname:\ $f.ind outputformat:\ PACKEDPED genotypeoutname:\ $f.bed snpoutname:\ $f.bim indivoutname:\ $f.fam)
$ igno()(grep -Ev '\.REF|rel\.|fail\.|\.contam|Ignore_|_dup|_contam| _lc|_father|_mother|_son|_daughter|_brother|_siste r|_relative|_sibling|_twin|Neanderthal|Denisova|Vi ndija_light|Gorilla|Macaque|Marmoset|Orangutan|Pri mate_Chimp|hg19ref')
$ printf %s\\n AA Aleut Algerian Australian BantuKenya BantuSA BantuSA_Ovambo Biaka Bolivian Canary_Islander Datog Egyptian Eritrea Esan Ethiopia_BetaIsrael Gambian Hadza1 IBS_CanaryIslands Jew_Ethiopian Jew_Moroccan Jew_Tunisian Ju_hoan_North Karitiana Khomani Kikuyu Libyan Luhya Luo Malawi_Chewa Malawi_Ngoni Malawi_Tumbuka Malawi_Yao Mandenka Masai Mayan Mbuti Mende Mixe Mixtec Moroccan Mozabite Namibia_Bantu_Herero Nasioi Papuan Piapoco Pima Quechua Saharawi Somali Surui Tlingit Tunisian YRI Yemeni Yemeni_Desert2 Yoruba Zapotec>noneurasia
$ x=eurasia;awk -F\\t '$5==0&&$7!~/\./{print$2,$7}' v50.0_HO_public.anno|igno|grep -v _o|awk 'NR==FNR{a[$0];next}!($2 in a)' noneurasia ->$x.pick
$ plink --bfile v50.0_HO_public --keep <(awk 'NR==FNR{a[$1];next}$2 in a' $x.pick v50.0_HO_public.fam) --make-bed --out $x
$ plink --bfile $x --indep-pairwise 50 10 .1 --maf --out $x;plink --bfile $x --extract $x.prune.in --make-bed --out $x.p
$ plink --bfile $x.p --pca 20 --out $x
$ awk 'NR==FNR{a[$1]=$2;next}{p=a[$2];s[p]+=$3;n[p]++}END{for(i in s)print s[i]/n[i],i}' $x.{pick,eigenvec}|awk '{if(NR==1||$1>max)max=$1;if(NR==1||min>$1)min=$1;a[NR]=$1;n[NR]=$2}END{for(i=1;i<=NR;i++)print 100*(a[i]-min)/(max-min),n[i]}'|sort -n|awk '{$1=sprintf("%.0f",$1)}1'
0 Sardinian
0 Italian_Sardinian
2 Spanish_Lleida
2 Spanish_North
2 Basque
3 Italian_North
3 Cypriot
3 Spanish
3 Sicilian
3 Jew_Turkish
3 Italian_South
3 BedouinB
3 Jew_Libyan
3 Lebanese_Christian
3 Jew_Yemenite
3 Greek
4 Jew_Iraqi
4 Druze
4 Maltese
4 French
4 English
4 Albanian
4 Yemeni_Northwest
4 Yemeni_Highlands
4 Yemeni_Desert
4 Armenian_Hemsheni
4 Saudi
4 Croatian
4 Jew_Ashkenazi
4 Armenian
4 Moldavian
5 Lebanese_Muslim
5 Romanian
5 Bulgarian
5 Palestinian
5 Scottish
5 Assyrian
5 Orcadian
5 Gagauz
5 Icelandic
5 Georgian
5 Czech
5 Norwegian
5 Jew_Iranian
5 Jew_Georgian
5 BedouinA
6 Jordanian
6 Lebanese
6 Hungarian
6 Syrian
6 Lithuanian
6 Yemeni_Highlands_Raymah
6 Ukrainian_North
6 Ukrainian
7 Abkhasian
7 Belarusian
7 Russia_Abkhasian
8 Estonian
8 Kurd
8 Kaitag
8 Ezid
8 Kubachinian
9 Darginian
9 Chechen
9 Tabasaran
9 Lezgin
9 Avar
9 Lak
9 Russian
10 Ingushian
10 Adygei
10 Iranian
10 Turkish
11 Kumyk
11 Azeri
11 Ossetian
12 Circassian
12 Finnish
12 Russia_NorthOssetian
12 Mordovian
12 Balkar
13 Karachai
13 Iranian_Bandari
13 Karelian
13 Russian_Archangelsk_Krasnoborsky
13 Kabardinian
13 Abazin
14 Veps
15 Makrani
16 Russian_Archangelsk_Pinezhsky
17 Brahui
17 Turkish_Balikesir
17 Balochi
18 Russian_Archangelsk_Leshukonsky
19 Tatar_Mishar
20 Kalash
22 Pathan
22 Tajik
23 Tatar_Kazan
24 Sindhi_Pakistan
25 GujaratiA
25 Jew_Cochin
25 Chuvash
26 Besermyan
27 Nogai_Karachay_Cherkessia
29 GujaratiB
29 Udmurt
30 Burusho
31 GujaratiC
32 GujaratiD
34 Punjabi
34 Bashkir
36 Turkmen
39 Uzbek
41 BEB
42 Bahun
45 Yukagir_Forest
46 Tatar_Siberian
47 Nogai_Stavropol
49 Tatar_Siberian_Zabolotniye
50 Mansi
52 Nogai_Astrakhan
52 Uyghur
53 Hazara
53 Karakalpak
54 Altaian_Chelkan
58 Tubalar
59 Shor_Mountain
60 Shor_Khakassia
60 Kazakh
62 Selkup
63 Newar
63 Even
63 Khakass
63 Kyrgyz_Tajikistan
64 Ket
65 Kyrgyz_Kyrgyzstan
66 Tharu
67 Kyrgyz_China
69 Khakass_Kachin
69 Altaian
70 Enets
71 Kazakh_China
73 Kusunda
77 Kalmyk
78 Tuvinian
78 Evenk_FarEast
78 Tofalar
80 Dolgan
80 Todzin
81 Mongol
81 Eskimo_Naukan
81 Tamang
81 Buryat
82 Eskimo_ChaplinSireniki
82 Yakut
82 Burmese
83 Eskimo_Sireniki
83 Dongxiang
83 Magar
83 Malay
83 Chukchi
83 Khamnegan
83 Thai
84 Chukchi1
84 Dungan
84 Itelmen
85 Cambodian
85 Koryak
86 Yukagir_Tundra
86 Gurung
86 Salar
87 Evenk_Transbaikal
87 Nganasan
88 Tagalog
89 Tu
89 Visayan
90 Rai
91 Bonan
91 Mongola
91 Sherpa
91 Daur
92 Dusun
92 Oroqen
92 Xibo
92 Tibetan
92 Yugur
92 Ilocano
93 Hezhen
93 Murut
93 Tibetan_Yunnan
93 Ulchi
93 Nivh
93 China_Lahu
93 Negidal
93 Kinh
94 Naxi
94 Vietnamese
94 Dai
94 Nanai
94 Yi
94 Atayal
94 Japanese
95 Ami
95 Kankanaey
95 Zhuang
95 Miao
95 Gelao
96 Han
96 Tujia
96 Korean
96 She
96 Qiang
96 Maonan
98 Dong
98 Mulam
100 Li
The results don't change that much if you add more references. I also tried to use Serbia_IronGates_Mesolithic and Turkey_N as the Caucasoid references, but for some reason it caused Finns to get only 3% Mongoloid ancestry.
Another dead simple method to estimate the percentage of Mongoloid ancestry of is to first do a PCA of Eurasian populations, and to then apply min-max scaling to PC1 so the smallest value becomes 0 and the largest value becomes 100. It gave the figure of 66% for Tharu, which is exactly the same as the result of my qpGraph model:
$ wget https://reichdata.hms.harvard.edu/pub/datasets/amh_repo/curated_releases/V50/V50.0/SHARE/public.dir/v50.0_HO_public.{anno,ind,snp,geno}
$ f=v50.0_HO_public;convertf -p <(printf %s\\n genotypename:\ $f.geno snpname:\ $f.snp indivname:\ $f.ind outputformat:\ PACKEDPED genotypeoutname:\ $f.bed snpoutname:\ $f.bim indivoutname:\ $f.fam)
$ igno()(grep -Ev '\.REF|rel\.|fail\.|\.contam|Ignore_|_dup|_contam| _lc|_father|_mother|_son|_daughter|_brother|_siste r|_relative|_sibling|_twin|Neanderthal|Denisova|Vi ndija_light|Gorilla|Macaque|Marmoset|Orangutan|Pri mate_Chimp|hg19ref')
$ printf %s\\n AA Aleut Algerian Australian BantuKenya BantuSA BantuSA_Ovambo Biaka Bolivian Canary_Islander Datog Egyptian Eritrea Esan Ethiopia_BetaIsrael Gambian Hadza1 IBS_CanaryIslands Jew_Ethiopian Jew_Moroccan Jew_Tunisian Ju_hoan_North Karitiana Khomani Kikuyu Libyan Luhya Luo Malawi_Chewa Malawi_Ngoni Malawi_Tumbuka Malawi_Yao Mandenka Masai Mayan Mbuti Mende Mixe Mixtec Moroccan Mozabite Namibia_Bantu_Herero Nasioi Papuan Piapoco Pima Quechua Saharawi Somali Surui Tlingit Tunisian YRI Yemeni Yemeni_Desert2 Yoruba Zapotec>noneurasia
$ x=eurasia;awk -F\\t '$5==0&&$7!~/\./{print$2,$7}' v50.0_HO_public.anno|igno|grep -v _o|awk 'NR==FNR{a[$0];next}!($2 in a)' noneurasia ->$x.pick
$ plink --bfile v50.0_HO_public --keep <(awk 'NR==FNR{a[$1];next}$2 in a' $x.pick v50.0_HO_public.fam) --make-bed --out $x
$ plink --bfile $x --indep-pairwise 50 10 .1 --maf --out $x;plink --bfile $x --extract $x.prune.in --make-bed --out $x.p
$ plink --bfile $x.p --pca 20 --out $x
$ awk 'NR==FNR{a[$1]=$2;next}{p=a[$2];s[p]+=$3;n[p]++}END{for(i in s)print s[i]/n[i],i}' $x.{pick,eigenvec}|awk '{if(NR==1||$1>max)max=$1;if(NR==1||min>$1)min=$1;a[NR]=$1;n[NR]=$2}END{for(i=1;i<=NR;i++)print 100*(a[i]-min)/(max-min),n[i]}'|sort -n|awk '{$1=sprintf("%.0f",$1)}1'
0 Sardinian
0 Italian_Sardinian
2 Spanish_Lleida
2 Spanish_North
2 Basque
3 Italian_North
3 Cypriot
3 Spanish
3 Sicilian
3 Jew_Turkish
3 Italian_South
3 BedouinB
3 Jew_Libyan
3 Lebanese_Christian
3 Jew_Yemenite
3 Greek
4 Jew_Iraqi
4 Druze
4 Maltese
4 French
4 English
4 Albanian
4 Yemeni_Northwest
4 Yemeni_Highlands
4 Yemeni_Desert
4 Armenian_Hemsheni
4 Saudi
4 Croatian
4 Jew_Ashkenazi
4 Armenian
4 Moldavian
5 Lebanese_Muslim
5 Romanian
5 Bulgarian
5 Palestinian
5 Scottish
5 Assyrian
5 Orcadian
5 Gagauz
5 Icelandic
5 Georgian
5 Czech
5 Norwegian
5 Jew_Iranian
5 Jew_Georgian
5 BedouinA
6 Jordanian
6 Lebanese
6 Hungarian
6 Syrian
6 Lithuanian
6 Yemeni_Highlands_Raymah
6 Ukrainian_North
6 Ukrainian
7 Abkhasian
7 Belarusian
7 Russia_Abkhasian
8 Estonian
8 Kurd
8 Kaitag
8 Ezid
8 Kubachinian
9 Darginian
9 Chechen
9 Tabasaran
9 Lezgin
9 Avar
9 Lak
9 Russian
10 Ingushian
10 Adygei
10 Iranian
10 Turkish
11 Kumyk
11 Azeri
11 Ossetian
12 Circassian
12 Finnish
12 Russia_NorthOssetian
12 Mordovian
12 Balkar
13 Karachai
13 Iranian_Bandari
13 Karelian
13 Russian_Archangelsk_Krasnoborsky
13 Kabardinian
13 Abazin
14 Veps
15 Makrani
16 Russian_Archangelsk_Pinezhsky
17 Brahui
17 Turkish_Balikesir
17 Balochi
18 Russian_Archangelsk_Leshukonsky
19 Tatar_Mishar
20 Kalash
22 Pathan
22 Tajik
23 Tatar_Kazan
24 Sindhi_Pakistan
25 GujaratiA
25 Jew_Cochin
25 Chuvash
26 Besermyan
27 Nogai_Karachay_Cherkessia
29 GujaratiB
29 Udmurt
30 Burusho
31 GujaratiC
32 GujaratiD
34 Punjabi
34 Bashkir
36 Turkmen
39 Uzbek
41 BEB
42 Bahun
45 Yukagir_Forest
46 Tatar_Siberian
47 Nogai_Stavropol
49 Tatar_Siberian_Zabolotniye
50 Mansi
52 Nogai_Astrakhan
52 Uyghur
53 Hazara
53 Karakalpak
54 Altaian_Chelkan
58 Tubalar
59 Shor_Mountain
60 Shor_Khakassia
60 Kazakh
62 Selkup
63 Newar
63 Even
63 Khakass
63 Kyrgyz_Tajikistan
64 Ket
65 Kyrgyz_Kyrgyzstan
66 Tharu
67 Kyrgyz_China
69 Khakass_Kachin
69 Altaian
70 Enets
71 Kazakh_China
73 Kusunda
77 Kalmyk
78 Tuvinian
78 Evenk_FarEast
78 Tofalar
80 Dolgan
80 Todzin
81 Mongol
81 Eskimo_Naukan
81 Tamang
81 Buryat
82 Eskimo_ChaplinSireniki
82 Yakut
82 Burmese
83 Eskimo_Sireniki
83 Dongxiang
83 Magar
83 Malay
83 Chukchi
83 Khamnegan
83 Thai
84 Chukchi1
84 Dungan
84 Itelmen
85 Cambodian
85 Koryak
86 Yukagir_Tundra
86 Gurung
86 Salar
87 Evenk_Transbaikal
87 Nganasan
88 Tagalog
89 Tu
89 Visayan
90 Rai
91 Bonan
91 Mongola
91 Sherpa
91 Daur
92 Dusun
92 Oroqen
92 Xibo
92 Tibetan
92 Yugur
92 Ilocano
93 Hezhen
93 Murut
93 Tibetan_Yunnan
93 Ulchi
93 Nivh
93 China_Lahu
93 Negidal
93 Kinh
94 Naxi
94 Vietnamese
94 Dai
94 Nanai
94 Yi
94 Atayal
94 Japanese
95 Ami
95 Kankanaey
95 Zhuang
95 Miao
95 Gelao
96 Han
96 Tujia
96 Korean
96 She
96 Qiang
96 Maonan
98 Dong
98 Mulam
100 Li
Although you’re on the right track you’re still far from the truth. To get to the truth you can’t use PCA programs or Admixture, you have to use gene to gene IBS comparison?
How do I know you’re still far away from the truth? Simply because I’ve done IBS and when I did Baloch and Kalash had less similarity with Mongols than Kurds. Whereas here you show Kurds 8.1 and Kalash 20.0
Try Plink IBS (—genome flag) one to one with Mongol and post list
Once you do IBS list you can normalize results by assigning top pop Han or Mongol 100% and bottom pop Yoruba as 0
Kaazi
10-30-2021, 01:36 AM
Chhetri (Karki)
Kit FW5124484
# Population Percent
1 S-Indian 29.18
2 NE-Asian 26.87
3 Baloch 22.32
4 Siberian 6.38
5 NE-Euro 5.06
6 SE-Asian 4.42
7 Caucasian 2.62
8 Mediterranean 1.52
9 Beringian 1.03
10 Papuan 0.6
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 7.54
2 hazara (hgdp) 25.88
3 nepalese-b (xing) 26
4 uyghur (hgdp) 26.55
5 bengali (harappa) 26.91
6 burusho (hgdp) 27.55
7 nepalese-a (xing) 27.57
8 up-muslim (harappa) 28.22
9 khasi (chaubey) 28.93
10 bengali-brahmin (harappa) 28.96
11 bihari-muslim (harappa) 29.29
12 kashmiri (harappa) 29.3
13 uzbek (behar) 29.82
14 gujarati-muslim (harappa) 29.87
15 punjabi (harappa) 30.46
16 punjabi-jatt-muslim (harappa) 30.94
17 kashmiri-pandit (reich) 31.01
18 kashmiri-pahari (harappa) 31.12
19 cochin-jew (behar) 31.22
20 singapore-indian-c (sgvp) 31.28
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 63.5% up-kshatriya (metspalu) + 36.5% japanese (hgdp) @ 1.98
2 65.7% bihari-muslim (harappa) + 34.3% japanese (hgdp) @ 2.12
3 63.9% karnataka-brahmin (harappa) + 36.1% japanese (hgdp) @ 2.44
4 63.9% vaish (reich) + 36.1% japanese (hgdp) @ 2.46
5 63.1% meghawal (reich) + 36.9% japanese (hgdp) @ 2.63
6 66% bengali-brahmin (harappa) + 34% japanese (hgdp) @ 2.68
7 63.7% maharashtrian (harappa) + 36.3% japanese (hgdp) @ 2.77
8 61.9% up-kshatriya (metspalu) + 38.1% tu (hgdp) @ 2.88
9 64.2% bihari-muslim (harappa) + 35.8% tu (hgdp) @ 2.93
10 62.7% iyengar-brahmin (harappa) + 37.3% japanese (hgdp) @ 2.98
11 61.6% karnataka-brahmin (harappa) + 38.4% xibo (hgdp) @ 3.09
12 62.3% karnataka-brahmin (harappa) + 37.7% tu (hgdp) @ 3.11
13 60.5% ap-brahmin (xing) + 39.5% xibo (hgdp) @ 3.14
14 61% gujarati (harappa) + 39% xibo (hgdp) @ 3.17
15 60.3% iyer-brahmin (harappa) + 39.7% xibo (hgdp) @ 3.2
16 63.3% gujarati (harappa) + 36.7% japanese (hgdp) @ 3.24
17 60.4% iyengar-brahmin (harappa) + 39.6% xibo (hgdp) @ 3.24
18 62.8% ap-brahmin (xing) + 37.2% japanese (hgdp) @ 3.25
19 64.5% bengali-brahmin (harappa) + 35.5% tu (hgdp) @ 3.26
20 61.5% meghawal (reich) + 38.5% tu (hgdp) @ 3.27
Thank you for posting. I was waiting for her reply. This kit has to be mixed, looking at her East Asian/Siberian level which is around 37% which exceeds even the generic Thakuri types (30-34%). The Khadka Chhetri kit turned out to be half Indo-Burmese-Newar mix at this 37% East Asian proportions.
She replied pure Jharra ancestry but I think she has some non-Chhetri ancestry in recent generations which she seems unaware. Most Chhetri kits are scoring around 23-26% total East Asian range be it a Jharra or a Khatri, some variation would go slightly under 30% but this one's approaching 40%, so mathematically an outlier. What do you think Thambi?
https://docs.google.com/spreadsheets/d/1wOgUMgT707-ihkPHQokTgZLn4QNaVdn8DLDYA5t5soQ/edit#gid=0
This Karki kit seems typical kit as he matches around East Asian level of Basnet, Nepal Chhetri (confirmed) and Budhathoki. My primary basis are these 4 kits.
# Population Percent
1 S-Indian 35.37
2 Baloch 27.56
3 NE-Asian 18.51
4 NE-Euro 7.3
5 Caucasian 5.29
6 Siberian 3.08
7 American 1.53
8 SE-Asian 0.88
9 Beringian 0.24
10 San 0.23
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 6.62
2 nepalese-a (xing) 17.29
3 bengali (harappa) 17.86
4 up-muslim (harappa) 18.01
5 bengali-brahmin (harappa) 18.02
6 bihari-muslim (harappa) 18.2
7 kashmiri (harappa) 19.79
8 gujarati-muslim (harappa) 20.21
9 up-brahmin (harappa) 20.32
10 punjabi (harappa) 20.32
Komintasavalta
10-30-2021, 03:15 AM
Although you’re on the right track you’re still far from the truth. To get to the truth you can’t use PCA programs or Admixture, you have to use gene to gene IBS comparison?
How do I know you’re still far away from the truth? Simply because I’ve done IBS and when I did Baloch and Kalash had less similarity with Mongols than Kurds. Whereas here you show Kurds 8.1 and Kalash 20.0
Try Plink IBS (—genome flag) one to one with Mongol and post list
Once you do IBS list you can normalize results by assigning top pop Han or Mongol 100% and bottom pop Yoruba as 0
Kalashes are ultra-drifted, so they're far from everyone based on IBS and f2 and FST. Based on IBS, Kalashes are even further from French than Turkmens are, but that doesn't mean that they're more Mongoloid than Turkmens:
$ x=eurasia;plink --bfile $x --genome --out $x
$ awk 'NR==FNR{a[$1]=$2;next}FNR>1{i=a[$2]" "a[$4];b[i]+=$12;n[i]++}END{for(i in b)print b[i]/n[i],i}' $x.{pick,genome}|grep French|sort -n|grep -C5 Kalash
0.802085 French Jew_Cochin
0.802236 Burusho French
0.802316 Saudi French
0.802367 GujaratiA French
0.802372 French BedouinA
0.802463 Kalash French
0.802492 French Turkmen
0.802494 Bashkir French
0.802533 Brahui French
0.802551 French BedouinB
0.802577 Syrian French
IBS gives me weird results sometimes, like how here the French are closer to Finns than to Romanians, and Mongols are closer to Negidals than to Buryats:
https://i.ibb.co/LrKjq7w/1.png
I think f2 is a better way to calculate the distance between populations:
https://i.ibb.co/MhQ9npW/f2.png
But in order to estimate the amount of Mongoloid ancestry based on an IBS matrix, one way is to model populations in the matrix with Vahaduo. Or you can also use my two-way function which uses the same method as Vahaduo, so it finds the point between the two source populations which has the lowest Euclidean distance to the target population:
$ x=eurasia;plink --bfile $x --distance ibs square --out $x
$ Rscript -e 'f="'$x'";t=read.table(paste0(f,".mibs"));fam=read.table(paste0(f,".fam"))[,2];pop=read.table(paste0(f,".pick"),row.names=1)[fam,];tav=function(x,y)data.frame(aggregate(x,list(y),m ean),row.names=1);a=tav(t(tav(t,pop)),pop);write.c sv(round(a,6),paste0(f,".mibsa"),quote=F)'
$ way2()(awk -F, 'NR<=2{for(i=2;i<=NF;i++)a[NR,i]=$i;next}$1{min=-1;for(r=0;r<=100;r+=1){s=0;for(i=2;i<=NF;i++)s+=($i-((1-r/100)*a[1,i]+(r/100)*a[2,i]))^2;s^=.5;if(min==-1||min>s){min=s;minr=r}}printf"%.3f %s %s\n",min,minr,$1}' "$@")
$ printf %s\\n French Han Finnish Kurd Tharu Kalash Turkmen Lithuanian Sherpa Rai Tamang Gurung Newar|awk -F, 'NR==FNR{a[$1]=$0;next}{print a[$0]}' eurasia.mibsa -|way2|sort -nk2
0.030 1 Lithuanian
0.103 1 Kurd
0.042 8 Finnish
0.044 18 Kalash
0.060 24 Udmurt
0.048 34 Turkmen
0.066 50 Mansi
0.041 64 Newar
0.050 66 Tharu
0.054 83 Mongol
0.042 84 Tamang
0.081 90 Nganasan
0.047 91 Gurung
0.051 94 Rai
0.058 95 Sherpa
Kaazi
10-30-2021, 04:16 AM
Kalashes are ultra-drifted, so they're far from everyone based on IBS and f2 and FST. Based on IBS, Kalashes are even further from French than Turkmens are, but that doesn't mean that they're more Mongoloid than Turkmens:
..
0.030 1 Lithuanian
0.103 1 Kurd
0.042 8 Finnish
0.044 18 Kalash
0.060 24 Udmurt
0.048 34 Turkmen
0.066 50 Mansi
0.041 64 Newar
0.050 66 Tharu
0.054 83 Mongol
0.042 84 Tamang
0.081 90 Nganasan
0.047 91 Gurung
0.051 94 Rai
0.058 95 Sherpa[/code]
Great work man. But Rai/Sherpa aren't 94/95% East Eurasian, they're close to the Tibet IA and the Tibetan IA (Nepal Chokhopani 2700BP) was 15% para-Onge/ South Eurasian (AASI) as per qpgraphs.
https://www.biorxiv.org/content/biorxiv/early/2020/03/25/2020.03.25.004606/F5.large.jpg
Tibet IA is around 12% South Eurasian in G25. So, they can't be 95% pure East Eurasian in anyway.
Target: NPL_Chokhopani_2700BP
Distance: 3.3505% / 0.03350524
82.8 CHN_Yellow_River_MN
10.6 S_AASI
4.8 RUS_Baikal_N
1.6 IRN_Ganj_Dareh_N
0.2 Dinka
Kalash showing 20% is certainly showing all their 10-12% South Eurasian/ AASI which shouldn't be included in East Eurasian imo.
Target: Kalash
Distance: 2.6913% / 0.02691264
43.0 IRN_Ganj_Dareh_N
15.2 RUS_Samara_HG
11.4 AASI_NW
9.6 Anatolia_Barcin_N
8.4 RUS_Tyumen_HG
6.8 GEO_CHG
3.6 TUR_Tepecik_Ciftlik_N
2.0 CHN_Yellow_River_MN
I like your open thinking and skills but to be fair to our E. European friends since they also have some Siberian and E. Asian ancestry I wouldn’t use Lithuanians as proxy for W. Eurasian. Use something that you’re more sure that doesn’t have any Siberian or E. Asian. Maybe some W. African population as non mongoloid proxy
To be even more fair also use Siberian as Mongoloid and use a couple of different W. and E. Asian proxies and average the results
You can also try Basque as a W. Eurasian proxy. You can also do one run with 1000G only, the other with Simmons only since results will be different because they use different SNPs.
Ideally you want to use whole genomes to reduce bias but I don’t know if you can find whole genomes for many ethnicities
I agree Basque and Sardinian would be proper West Eurasian proxies than Balto-Slavs, and also some deeply ancient pops from Levant/Anatolia would be better, imo.
Seems like South Eurasian is absorbed into East Eurasian percentages in these calculations. Separating it seems difficult and sadly, we don't have any proper South Eurasian proxies; the most South Eurasian pops (Paniya/Pulliyar) are around estimated 70 percent.
Thambi
10-30-2021, 05:15 AM
Thank you for posting. I was waiting for her reply. This kit has to be mixed, looking at her East Asian/Siberian level which is around 37% which exceeds even the generic Thakuri types (30-34%). The Khadka Chhetri kit turned out to be half Indo-Burmese-Newar mix at this 37% East Asian proportions.
She replied pure Jharra ancestry but I think she has some non-Chhetri ancestry in recent generations which she seems unaware. Most Chhetri kits are scoring around 23-26% total East Asian range be it a Jharra or a Khatri, some variation would go slightly under 30% but this one's approaching 40%, so mathematically an outlier. What do you think Thambi?
https://docs.google.com/spreadsheets/d/1wOgUMgT707-ihkPHQokTgZLn4QNaVdn8DLDYA5t5soQ/edit#gid=0
This Karki kit seems typical kit as he matches around East Asian level of Basnet, Nepal Chhetri (confirmed) and Budhathoki. My primary basis are these 4 kits.
# Population Percent
1 S-Indian 35.37
2 Baloch 27.56
3 NE-Asian 18.51
4 NE-Euro 7.3
5 Caucasian 5.29
6 Siberian 3.08
7 American 1.53
8 SE-Asian 0.88
9 Beringian 0.24
10 San 0.23
Single Population Sharing:
# Population (source) Distance
1 nepalese-c (xing) 6.62
2 nepalese-a (xing) 17.29
3 bengali (harappa) 17.86
4 up-muslim (harappa) 18.01
5 bengali-brahmin (harappa) 18.02
6 bihari-muslim (harappa) 18.2
7 kashmiri (harappa) 19.79
8 gujarati-muslim (harappa) 20.21
9 up-brahmin (harappa) 20.32
10 punjabi (harappa) 20.32
yeah true, does seem like an outlier to an extent. not just the NE asian, but highest SE asian as well among the pure chhetri kits you have along with good amount of siberian. Does seem to have some recent TB mix tbh. where is she from in nepal did she reply regarding that? I think the eastern chhetris are more mixed with TB groups recently than the western ones but i could be wrong.
Kaazi
10-30-2021, 05:37 AM
yeah true, does seem like an outlier to an extent. not just the NE asian, but highest SE asian as well among the pure chhetri kits you have along with good amount of siberian. Does seem to have some recent TB mix tbh. where is she from in nepal did she reply regarding that? I think the eastern chhetris are more mixed with TB groups recently than the western ones but i could be wrong.
No, I don't think there's an East - West dynamics for Chhetris. It just depends on the lineage of person. Those who marry among Jharra and Khatris are the standard Chhetris while some have Gharti and Matwali Chhetri ancestry and those mixing with Thakuris do have more irregular non-Khas ancestry and probable higher East Asian percent. I'm not basing these things on phenotypes but on the oral tradition and info.
It's just subcaste dynamics imo.
Jharra/Khatri -
Jharra are descendants of Kshatriya (Khas peasant-warrior-administrative-aristocrat-gentry) bulk of Khas kingdom that were Hinduized early around 12-14th century while Khatris being descendant of also not-so-different Khas Brahmin (Bahun) lineage merging into Chhetri caste around 14th-19th century. Jharra outnumber Khatris and their admission to Chhetri caste is at least 5 generations old, so estimated Brahmin ancestry is less than 5 percents.
Jharra Chhetris and Pahadi Rajputs of Uttarakhand/East Himachal already gained 25-30 percent East Asian in Central Himalayas during their ethnogenesis and are brotherly tribe.
vs
Gharti & Matwali Chhetris/Thakuri -
Gharti and Matwalis have a dubious origin and freely used to marry among non Khas folks (like Magars) but later received "holy thread (Janai) and Chhetri caste" from Jung Bahadur Rana in 1850s. Thakuris are 3 way mix of Khas (Indic tribe), Jad/Jaad/Jar/Jariya (proper Tibetan tribe) and Magar (Himalayan Tibetic tribe).
Edit: There could be only one geographical dynamics i.e. lower river basin valley Chhetris and high altitude Chhetris where those in lower river basins live with the Bahuns who are in huge numbers and outnumber Chhetris in most places while those in high altitude hills have exposure to Sino-Tibetan tribes. I've seen that these lower river basin valley ones are very ethno-religious than those in high altitude.
Kaazi
10-30-2021, 06:09 AM
@Thambi though there's vast irregularities in gedmatch Pahadi Rajputs, the 8 Rajput Rajasthan high East Asian outliers from Mondal et al 2016 (80 percent coverage) do tells their commonality and overlaps with Chhetris.
Yesterday, I separated the Rajput East Asian outliers (25-30 East Asian types only) and averaged them in Harappaworld and also in G25. They're quite close to Chhetris and the average East Asian percentages matches exactly lol.
Target: Rajput_Rajasthan_o
Distance: 1.7429% / 0.01742949
51.8 IRN_Shahr_I_Sokhta_BA3
29.4 NPL_Chokhopani_2700BP
14.6 RUS_Srubnaya_Alakul_MLBA
4.2 UZB_Bustan_BA
I partially rely on Nepalese C due to very poor (10 pc coverage).
Target: Nepalese_C
Distance: 2.6131% / 0.02613052
47.0 IRN_Shahr_I_Sokhta_BA3
29.4 NPL_Chokhopani_2700BP
16.6 RUS_Srubnaya_Alakul_MLBA
7.0 UZB_Bustan_BA
Rajput-Rajasthan-outlier-average (8 kits)
S-Indian: 34.61%
Baloch: 26.14%
Caucasian: 4.44%
NE-Euro: 6.57%
SE-Asian: 1.54%
Siberian: 2.47%
NE-Asian: 20.99%
Papuan: 0.66%
American: 0.45%
Beringian: 1.35%
Mediterranean: 0.58%
SW-Asian: 0.14%
San: 0.04%
E-African: 0.04%
Pygmy: 0.00%
W-African: 0.00%
Nepali-Khas-Chhetri (8 kits)
S-Indian: 32.71%
Baloch: 26.11%
Caucasian: 5.08%
NE-Euro: 7.71%
SE-Asian: 1.55%
Siberian: 3.68%
NE-Asian: 19.61%
Papuan: 0.64%
American: 1.05%
Beringian: 0.71%
Mediterranean: 0.65%
SW-Asian: 0.42%
San: 0.04%
E-African: 0.00%
Pygmy: 0.02%
W-African: 0.02%
Both are certainly like singular caste based on East Asian percentage and the West-South Eurasian variety doesn't necessarily indicate much differential ancestry. This was the standard Himalayan Kshatriya (29 East Asian) in the medieval West Nepal-Uttarakhand belt as all Bahun-Chhetris originated there. Later some gained extra East Asian through Magars and Jad Bhotiyas imo.
Rajput_Rajasthan,0.0671555,-0.050776,-0.1095535,0.07832750000000001,-0.062011500000000004,0.0485265,0.00164499999999999 98,0.003922999999999999,0.009407999999999998,-0.001002,-0.0064139999999999996,-0.002248,0.0033445000000000003,0.00082550000000000 02,0.0036645,-0.0033810000000000003,-0.0056064999999999995,-0.0006335000000000001,-0.003205,-0.0082535,0.0006865000000000002,-0.0029054999999999997,0.0020954999999999997,0.0034 945,0.0026345
Rajput_Rajasthan_o,0.0492285,-0.14318974999999998,-0.097815625,0.06371175000000001,-0.04677787499999999,0.04709750000000001,-0.00146875,0.012028375000000001,0.0179981250000000 04,0.011344375,-0.029575125,-0.002248,0.002304375,-0.004816875000000001,-0.001035125,-0.0028175,0.004156125,-0.00026925000000000007,-0.0011783750000000006,0.0025324999999999996,0.0014 0375,0.0057345,0.0025727500000000004,0.00516625,0. 009011
Removing the low East Asian samples bring the Nepalese C and Rajput outliers together and moves away the high IranN Bahun o samples.
Distance to: Rajput_Rajasthan
0.02137805 Bahun_o
0.02747078 Nepalese_C
0.04836509 Balti
0.05642383 Brahmin_UP
0.05827498 Nepalese_D
0.05897888 Nepalese_B
0.07756953 Bengali_Bangladesh
0.08613933 Burmese_o
0.08930228 Brahmin_West_Bengal
0.08984900 Nepalese_A2
0.09533112 Bahun
0.09658596 Nepalese_A
0.09886326 Kol
0.09984891 Nyishi_o
0.10055165 Chenchu
0.10071951 Brahmin_Tamil_Nadu
0.10105393 Punjabi_Lahore
0.10148604 Burusho
0.10231558 Kshatriya
0.10316111 Dharkar
0.10335578 Kamboj_o
0.10385263 Kanjar
0.10418369 Iyer
0.10427471 Uttar_Pradesh
0.10780807 Yadava
Distance to: Rajput_Rajasthan_o
0.02066426 Rajput_Rajasthan
0.02523313 Nepalese_C
0.02735107 Bahun_o
0.04200285 Nepalese_D
0.06218215 Balti
0.07100032 Burmese_o
0.07648769 Nepalese_B
0.07658456 Brahmin_UP
0.08595583 Bengali_Bangladesh
0.10635400 Chenchu
0.10800226 Brahmin_West_Bengal
0.10918195 Nepalese_A2
0.11254472 Newar
0.11349196 Kol
0.11498719 Bahun
0.11530900 Relli
0.11535315 Uttar_Pradesh
0.11645393 Kamboj_o
0.11659510 Dharkar
0.11685765 Nepalese_A
0.11797461 Nyishi_o
0.11820206 Yadava
0.11863748 Brahmin_Tamil_Nadu
0.11878216 Kanjar
0.11924855 Dusadh
The low East Asian Rajputs are closer to Brahmins. Better and closer to truth as real plain Rajputs definitely would be no East Asian or at least very low and closer to Brahmins in Euclidean distances. I'm trying to change the Eurogenes dataset now with this 2 groups.
Distance to: Rajput_Rajasthan
0.02369859 Nepalese_A
0.03158628 Brahmin_UP
0.03304743 Bahun
0.03495213 Nepalese_A2
0.04107582 Kashmiri_Pakistan
0.04120687 Punjabi_Lahore
0.04163273 Brahmin_Gujarat
0.04191377 Brahmin_West_Bengal
0.04390559 Punjabi_Hindu_India
0.04535053 Punjabi_Muslim_India
0.04603804 Burusho
0.04812643 Kshatriya
0.04898185 Gujar_India
0.04956876 Kashmiri_Pandit
0.05031214 Nepalese_B
0.05212702 Nyishi_o
0.05443267 Brahmin_Tamil_Nadu
0.05510662 Iyer
0.05607226 Brahmin_Uttar_Pradesh
0.05665266 Kohistani
0.05700581 Punjabi_Sikh_India
0.05862305 Kashmiri_Pakistan_o
0.06183960 Gujar_Pakistan
0.06196066 Khatri
0.06563002 Sindhi
Further I've simulated and found there are some overlaps between the two groups here.
https://anthrogenica.com/showthread.php?14155-Global25-automated-nMonte-for-South-Central-Asian-members&p=806917&viewfull=1#post806917
Kaazi
10-30-2021, 06:12 AM
Duplicate post. Delete this if possible.
Kaazi
10-30-2021, 06:13 AM
Duplicate post. Delete this if possible.
Kalashes are ultra-drifted, so they're far from everyone based on IBS and f2 and FST. Based on IBS, Kalashes are even further from French than Turkmens are, but that doesn't mean that they're more Mongoloid than Turkmens:
$ x=eurasia;plink --bfile $x --genome --out $x
$ awk 'NR==FNR{a[$1]=$2;next}FNR>1{i=a[$2]" "a[$4];b[i]+=$12;n[i]++}END{for(i in b)print b[i]/n[i],i}' $x.{pick,genome}|grep French|sort -n|grep -C5 Kalash
0.802085 French Jew_Cochin
0.802236 Burusho French
0.802316 Saudi French
0.802367 GujaratiA French
0.802372 French BedouinA
0.802463 Kalash French
0.802492 French Turkmen
0.802494 Bashkir French
0.802533 Brahui French
0.802551 French BedouinB
0.802577 Syrian French
IBS gives me weird results sometimes, like how here the French are closer to Finns than to Romanians, and Mongols are closer to Negidals than to Buryats:
https://i.ibb.co/LrKjq7w/1.png
I think f2 is a better way to calculate the distance between populations:
https://i.ibb.co/MhQ9npW/f2.png
But in order to estimate the amount of Mongoloid ancestry based on an IBS matrix, one way is to model populations in the matrix with Vahaduo. Or you can also use my two-way function which uses the same method as Vahaduo, so it finds the point between the two source populations which has the lowest Euclidean distance to the target population:
$ x=eurasia;plink --bfile $x --distance ibs square --out $x
$ Rscript -e 'f="'$x'";t=read.table(paste0(f,".mibs"));pop=read.table(paste0(f,".pick"))[,2];tav=function(x,y)data.frame(aggregate(x,list(y),m ean),row.names=1);a=tav(t(tav(t,pop)),pop);write.c sv(round(a,6),paste0(f,".mibsa"),quote=F)'
$ way2()(awk -F, 'NR<=2{for(i=2;i<=NF;i++)a[NR,i]=$i;next}$1{min=-1;for(r=0;r<=100;r+=1){s=0;for(i=2;i<=NF;i++)s+=($i-((1-r/100)*a[1,i]+(r/100)*a[2,i]))^2;s^=.5;if(min==-1||min>s){min=s;minr=r}}printf"%.3f %s %s\n",min,minr,$1}' "$@")
$ printf %s\\n French Han Finnish Kurd Tharu Kalash Turkmen Lithuanian Sherpa Rai Tamang Gurung Newar|awk -F, 'NR==FNR{a[$1]=$0;next}{print a[$0]}' eurasia.mibsa -|way2|sort -nk2
0.030 1 Lithuanian
0.103 1 Kurd
0.042 8 Finnish
0.044 18 Kalash
0.060 24 Udmurt
0.048 34 Turkmen
0.066 50 Mansi
0.041 64 Newar
0.050 66 Tharu
0.054 83 Mongol
0.042 84 Tamang
0.081 90 Nganasan
0.047 91 Gurung
0.051 94 Rai
0.058 95 Sherpa
Kalash drift only affects Admixture and PCA. The reason you’re having issues is because you’re not doing it right.
The guy who taught me most of what i know (dilawer) told me a long time ago that when you do IBS you have to be very strict with quality conntrol. He said to follow these things and you won’t have issues:
1- Datasets are very biased towards certain SNPs. Don’t mix 1000 Genomes with HDP with Simmons. If you have test samples you’re looking at run them separately with 1000G then Simmons then HDP and so on. So first do Simmons for example. Simmons usually has 2 or 3 samples per ethnicity. Let’s say French1 and French2. Sort table for French1 then French2 and then average. He sent me the Linux code he uses to automate . I’ll see if i can find it.
2- Make sure you do —geno 0.0001 so that you only use 100% overlapping SNPs only
3- You can then normalize your results
If you do the above you’ll end up with 600 or 800,000 overlapping SNPs after you throw out the 1000G samples with lots of missing SNPs (check using —missing to see which samples to throw before using —geno flag)
When you do these things you’ll have a nice list that makes sense maybe something like. I’m just making up numbers. These are not ancestry but genetic similarity numbers
700K SNPs
Han avg 0.82 100%
..
..
Dai avg 0.81 95%
..
..
Uyghur 0.80 78%
..
..
Kurds 0.78 45%
..
Kakash 0.779 43%
..
Adygei
..
..
Abkhasian
..
..
Estonian
..
..
..
Jordanians
..
..
..
Yoruban 0.72 0%
He also said each dataset is screwed up in one way or another. I remember he said 23andme SNPs have a huge bias against African admixtrure. With 23andme SNPs you get something like
Yoruban 100%
..
E. Asians
..
S. Asians
..
W. Asians
Which is screwed up
Komintasavalta
10-30-2021, 01:45 PM
...
Yeah maybe the reason why in my IBS run the French were closer to Finns than to Romanians was that all of the Romanian samples had under 580,000 SNPs out of a maximum of 597,573. When I made another dataset with just Finnish, Romanian, and French samples, and I used `--geno 0` to remove every SNP that was missing from any sample, then the French were closer to Romanians than to Finns.
If you use `--geno 0` so there is no SNP with missing data, then does it matter if you combine samples from different sources? Even though I used `--geno 0`, I was now able to make a dataset with 387,406 SNPs and 568 samples, because I only used samples with at least 588,000 SNPs, and I only selected up to 4 samples from each population based on which samples had the highest SNP count. But even now it's weird how Forest Yukaghirs are so close to the French, and the French are still closer to Finns than to Bulgarians:
https://i.ibb.co/nwzP5QH/1.png
Yeah maybe the reason why in my IBS run the French were closer to Finns than to Romanians was that all of the Romanian samples had under 580,000 SNPs out of a maximum of 597,573. When I made another dataset with just Finnish, Romanian, and French samples, and I used `--geno 0` to remove every SNP that was missing from any sample, then the French were closer to Romanians than to Finns.
If you use `--geno 0` so there is no SNP with missing data, then does it matter if you combine samples from different sources? Even though I used `--geno 0`, I was now able to make a dataset with 387,406 SNPs and 568 samples, because I only used samples with at least 588,000 SNPs, and I only selected up to 4 samples from each population based on which samples had the highest SNP count. But even now it's weird how Forest Yukaghirs are so close to the French, and the French are still closer to Finns than to Bulgarians:
https://i.ibb.co/nwzP5QH/1.png
It still matters. Try doing one just based on 1000G and one based on Simmons only. I wouldn’t worry about French-Bulgarian because IBS is total shared drift and not just recent drift. It’s probably correct but see what you get when you run one dataset at a time
Komintasavalta
10-30-2021, 04:03 PM
It still matters. Try doing one just based on 1000G and one based on Simmons only. I wouldn’t worry about French-Bulgarian because IBS is total shared drift and not just recent drift. It’s probably correct but see what you get when you run one dataset at a time
The run below included only samples from 1000 Genomes, only samples with at least 1.14e6 SNPs, only up to 4 samples with the highest SNP count from each population, and only SNPs with no missing data (`--geno 0`). But still Great_Britain is closer to Finland than to Iberia_Spain:
https://i.ibb.co/zs3D4rd/2.png
In an f2 run of the same samples, Finns are much further from Great_Britain:
https://i.ibb.co/NY4w2Hp/1.png
The run below included only samples from 1000 Genomes, only samples with at least 1.14e6 SNPs, only up to 4 samples with the highest SNP count from each population, and only SNPs with no missing data (`--geno 0`). But still Great_Britain is closer to Finland than to Iberia_Spain:
https://i.ibb.co/zs3D4rd/2.png
In an f2 run of the same samples, Finns are much further from Great_Britain:
https://i.ibb.co/NY4w2Hp/1.png
The IBS makes more sense to me
Kaazi
11-03-2021, 08:01 AM
@Godardt
Nepalese royal family is an interesting royal family of South Asia. I'm simulating a profile of some modern Shah Kings of Nepal taking Prithivi Narayan Shah as the endogamous Thakuri ancestor. https://en.wikipedia.org/wiki/Shah_dynasty
King Pratap Singh (https://en.wikipedia.org/wiki/Pratap_Singh_Shah) 1/2 Thakuri, 1/2 UP Rajput (Benares).
S-Indian: 38.57%
Baloch: 29.82%
Caucasian: 3.81%
NE-Euro: 7.30%
SE-Asian: 1.07%
Siberian: 2.58%
NE-Asian: 13.01%
Papuan: 0.66%
American: 1.00%
Beringian: 0.29%
Mediterranean: 1.68%
SW-Asian: 0.13%
San: 0.00%
E-African: 0.00%
Pygmy: 0.08%
W-African: 0.00%
King Rana Bahadur (https://en.wikipedia.org/wiki/Rana_Bahadur_Shah) 3/4 Thakuri, 1/4 UP Rajput (Benares).
looks like a generic Rajput from Uttarakhand.
S-Indian: 35.22%
Baloch: 26.29%
Caucasian: 3.96%
NE-Euro: 6.83%
SE-Asian: 1.27%
Siberian: 3.28%
NE-Asian: 19.26%
Papuan: 0.79%
American: 1.14%
Beringian: 0.30%
Mediterranean: 1.37%
SW-Asian: 0.19%
San: 0.00%
E-African: 0.00%
Pygmy: 0.11%
W-African: 0.00%
King Girvan Yuddha (https://en.wikipedia.org/wiki/Girvan_Yuddha_Bikram_Shah) 3/8 Thakuri, 1/8 UP Rajput (Benares), 4/8 Maithil Brahmin (Janakpur).
profile looks like the Aswal Rajput from Uttarakhand.
S-Indian: 39.13%
Baloch: 31.17%
Caucasian: 4.20%
NE-Euro: 9.03%
SE-Asian: 0.93%
Siberian: 1.91%
NE-Asian: 9.77%
Papuan: 0.64%
American: 1.02%
Beringian: 0.44%
Mediterranean: 1.58%
SW-Asian: 0.12%
San: 0.00%
E-African: 0.00%
Pygmy: 0.06%
W-African: 0.00%
King Rajendra (https://en.wikipedia.org/wiki/Rajendra_Bikram_Shah) assuming his mother to be a Thakuri princess. 11/16 Thakuri, 1/16 UP Rajput (Benares), 4/16 Maithil Brahmin.
Again Pahadi Rajput like profile.
S-Indian: 35.50%
Baloch: 26.97%
Caucasian: 4.16%
NE-Euro: 7.69%
SE-Asian: 1.20%
Siberian: 2.94%
NE-Asian: 17.64%
Papuan: 0.78%
American: 1.15%
Beringian: 0.37%
Mediterranean: 1.32%
SW-Asian: 0.18%
San: 0.00%
E-African: 0.00%
Pygmy: 0.10%
W-African: 0.00%
King Surendra (https://en.wikipedia.org/wiki/Surendra_Bikram_Shah) His mother was a UP Rajput from Gorakhpur. 11/32 Thakuri, 17/32 UP Rajput, 4/32 Maithil Brahmin.
Again Aswal Rajput (uttarakhand) like profile.
S-Indian: 40.39%
Baloch: 31.93%
Caucasian: 3.83%
NE-Euro: 7.97%
SE-Asian: 0.94%
Siberian: 2.06%
NE-Asian: 9.08%
Papuan: 0.59%
American: 0.93%
Beringian: 0.33%
Mediterranean: 1.82%
SW-Asian: 0.09%
San: 0.00%
E-African: 0.00%
Pygmy: 0.06%
W-African: 0.00%
Crown Prince Trailokya (https://en.wikipedia.org/wiki/Trailokya,_Crown_Prince_of_Nepal) His mother was a Thakuri.
S-Indian: 36.13%
Baloch: 27.35%
Caucasian: 3.97%
NE-Euro: 7.16%
SE-Asian: 1.20%
Siberian: 3.02%
NE-Asian: 17.29%
Papuan: 0.75%
American: 1.11%
Beringian: 0.31%
Mediterranean: 1.44%
SW-Asian: 0.17%
San: 0.00%
E-African: 0.00%
Pygmy: 0.10%
W-African: 0.00%
King Prithvi Bir Bikram (https://en.wikipedia.org/wiki/Prithvi_Bir_Bikram_Shah) His mother was a Rana princess (half Kunwar (Khadka) Chhetri + half Thakuri).
S-Indian: 34.21%
Baloch: 25.89%
Caucasian: 4.29%
NE-Euro: 7.10%
SE-Asian: 1.35%
Siberian: 3.42%
NE-Asian: 19.93%
Papuan: 0.77%
American: 1.14%
Beringian: 0.41%
Mediterranean: 1.14%
SW-Asian: 0.25%
San: 0.01%
E-African: 0.00%
Pygmy: 0.09%
W-African: 0.01%
King Tribhuvan (https://en.wikipedia.org/wiki/Tribhuvan_of_Nepal) Taken Minhas Dogra sample for his Kangra royal (Katoch?) mother.
S-Indian: 35.28%
Baloch: 32.14%
Caucasian: 6.25%
NE-Euro: 8.20%
SE-Asian: 1.41%
Siberian: 2.54%
NE-Asian: 11.17%
Papuan: 0.39%
American: 0.57%
Beringian: 0.21%
Mediterranean: 0.57%
SW-Asian: 0.97%
San: 0.13%
E-African: 0.00%
Pygmy: 0.17%
W-African: 0.00%
King Mahendra (https://en.wikipedia.org/wiki/Mahendra_of_Nepal) Mother was a UP Rajput from Oudh.
Looks so close to a UP Kshatriya.
S-Indian: 40.27%
Baloch: 34.51%
Caucasian: 4.87%
NE-Euro: 8.22%
SE-Asian: 1.04%
Siberian: 1.86%
NE-Asian: 5.85%
Papuan: 0.39%
American: 0.64%
Beringian: 0.24%
Mediterranean: 1.44%
SW-Asian: 0.48%
San: 0.07%
E-African: 0.00%
Pygmy: 0.10%
W-African: 0.00%
King Birendra/Gyanendra
S-Indian: 36.40%
Baloch: 29.82%
Caucasian: 4.81%
NE-Euro: 7.56%
SE-Asian: 1.26%
Siberian: 2.76%
NE-Asian: 13.88%
Papuan: 0.58%
American: 0.87%
Beringian: 0.28%
Mediterranean: 1.16%
SW-Asian: 0.47%
San: 0.05%
E-African: 0.00%
Pygmy: 0.12%
W-African: 0.00%
King Dipendra/Prince Paras- Finally ended up as the generic Pahadi Rajput average lol.
1355/2048 Thakuri, 273/2048 UP Rajput, 256/2048 Kangra Rajput, 4/2048 Maithil Brahmin, 160/2048 Chhetri. Their mothers were sisters.
S-Indian: 34.30%
Baloch: 26.88%
Caucasian: 4.62%
NE-Euro: 7.09%
SE-Asian: 1.36%
Siberian: 3.29%
NE-Asian: 18.79%
Papuan: 0.71%
American: 1.03%
Beringian: 0.29%
Mediterranean: 1.06%
SW-Asian: 0.41%
San: 0.03%
E-African: 0.00%
Pygmy: 0.13%
W-African: 0.00%
King Mahendra was genetically the least Nepalese (21%) and was the most South Asian shifted Shah king and was estimated close to 90% UP Rajput like profile.
Interestingly, they've very low Chhetri blood (<10%) and are primarily mixes of various Nepali Thakuris + UP Rajputs + West Himalayan (Kangra) Rajputs.
@Godardt, Finally the Shah line (Paras) seems to have ended up genetically like a native Pahadi Kshatriya lol to the irony of these Thakuris excessively boasting Rajputana high caste-ness pride over others but at most, they look like the Pahadi commoners.
Godardt
11-03-2021, 08:19 AM
Dear Bhai. How did u manage to estimate their genomes by their facial profiles or by their ancestry.
Sent from my Mi 10 using Tapatalk
Kaazi
11-03-2021, 09:14 AM
Dear Bhai. How did u manage to estimate their genomes by their facial profiles or by their ancestry.
Sent from my Mi 10 using Tapatalk
Facial profiles would be pseudo scientific.:D Look at Wikipedia and Royal Ark for their ancestry. How can you estimate someone's UP or Kangra Rajput ancestry in the face lol.
Btw, RIP Dipendra and Paras were genetically similar born (their fathers are bros and mothers are sisters) but their pheno was drastically different. Another very good example of not to take phenotypes for genetic assumption.
Dipendra
https://media.gettyimages.com/photos/crown-prince-dipendra-of-nepal-attends-a-fred-hollows-foundation-on-picture-id158163586?s=594x594
https://media.gettyimages.com/photos/crown-prince-dipendra-of-nepal-attends-a-fred-hollows-foundation-on-picture-id158163581
Paras
https://media.gettyimages.com/photos/nepalese-crown-prince-paras-bir-bikram-shah-dev-smiles-during-his-to-picture-id2904410
https://media.gettyimages.com/photos/nepalese-crown-prince-paras-bir-bikram-shah-dev-delivers-a-speech-a-picture-id53205669?s=612x612
https://nepal24hours.com/wp-content/uploads/2019/01/Parash.jpg
Godardt
11-03-2021, 10:43 AM
Absolutely correct.
Sent from my Mi 10 using Tapatalk
Kaazi
11-04-2021, 12:16 PM
Nepali Khas Brahmin (Adhikari) 52402 SNPs used in this evaluation Quite high Med.
Admix Results (sorted):
# Population Percent
1 S-Indian 33.43
2 Baloch 32.98
3 NE-Euro 12.46
4 Caucasian 6.82
5 NE-Asian 4.15
6 Mediterranean 3.76
7 Beringian 1.9
8 American 1.71
9 SE-Asian 1.7
10 Pygmy 0.38
11 Siberian 0.37
12 San 0.18
13 Papuan 0.16
Single Population Sharing:
# Population (source) Distance
1 nepalese-a (xing) 5.82
2 up-muslim (harappa) 6.65
3 up-brahmin (harappa) 8.32
4 singapore-indian-c (sgvp) 8.81
5 punjabi-brahmin (harappa) 8.88
6 punjabi (harappa) 8.94
7 bengali-brahmin (harappa) 8.97
8 kashmiri-pandit (reich) 9.41
9 punjabi-ramgarhia (harappa) 9.71
10 brahmin-uttar-pradesh (metspalu) 9.72
11 kashmiri (harappa) 9.73
12 punjabi-jatt-muslim (harappa) 9.85
13 punjabi-jatt-sikh (harappa) 9.87
14 kashmiri-pahari (harappa) 9.88
15 haryana-jatt (harappa) 9.93
16 bihari-muslim (harappa) 10.87
17 gujarati-muslim (harappa) 10.9
18 punjabi-khatri (harappa) 11.08
19 vaish (reich) 11.64
20 punjabi-arain (xing) 12.75
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 63.6% haryana-jatt (harappa) + 36.4% bengali (harappa) @ 3.05
2 77.4% bengali-brahmin (harappa) + 22.6% tajik (yunusbayev) @ 3.62
3 87% nepalese-a (xing) + 13% romanian-b (behar) @ 3.77
4 94.2% nepalese-a (xing) + 5.8% sardinian (hgdp) @ 3.97
5 84.8% up-brahmin (harappa) + 15.2% uyghur (hgdp) @ 4
6 92.7% nepalese-a (xing) + 7.3% puerto-rican (1000genomes) @ 4.1
7 92.8% nepalese-a (xing) + 7.2% tuscan (hapmap) @ 4.14
8 66.9% haryana-jatt (harappa) + 33.1% sri-lankan (harappa) @ 4.14
9 92.8% nepalese-a (xing) + 7.2% tuscan (1000genomes) @ 4.14
10 93.1% nepalese-a (xing) + 6.9% colombian (1000genomes) @ 4.17
11 93.1% nepalese-a (xing) + 6.9% italian (hgdp) @ 4.17
12 92.8% nepalese-a (xing) + 7.2% ashkenazi (harappa) @ 4.25
13 93.1% nepalese-a (xing) + 6.9% morocco-jew (behar) @ 4.28
14 92.9% nepalese-a (xing) + 7.1% ashkenazy-jew (behar) @ 4.29
15 53.2% bengali-brahmin (harappa) + 46.8% haryana-jatt (harappa) @ 4.29
16 72.2% vaish (reich) + 27.8% tajik (yunusbayev) @ 4.3
17 77.1% haryana-jatt (harappa) + 22.9% chenchu (metspalu) @ 4.3
18 93.2% nepalese-a (xing) + 6.8% sephardic-jew (behar) @ 4.32
19 84.1% up-brahmin (harappa) + 15.9% uzbek (behar) @ 4.33
20 93.7% nepalese-a (xing) + 6.3% spaniard (1000genomes) @ 4.34
Admix Results (sorted):
# Population Percent
1 S-Indian 33.43
2 Baloch 32.98
3 NE-Euro 12.46
4 Caucasian 6.82
5 NE-Asian 4.15
6 Mediterranean 3.76
7 Beringian 1.90
8 American 1.71
9 SE-Asian 1.70
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 nepali_harappa @ 3.454535
2 nepalese-a_xing @ 6.238745
3 rajasthani-brahmin_harappa @ 7.019496
4 up-muslim_harappa @ 7.230292
5 bihari-brahmin_harappa @ 8.622138
6 up-brahmin_harappa @ 9.026922
7 pushtikar-brahmin_harappa @ 9.179584
8 singapore-indian-c_sgvp @ 9.615584
9 punjabi-brahmin_harappa @ 9.704209
10 punjabi_harappa @ 9.763246
11 bengali-brahmin_harappa @ 9.827249
12 kashmiri-pandit_reich @ 10.324831
13 punjabi-ramgarhia_harappa @ 10.576214
14 brahmin-uttar-pradesh_metspalu @ 10.625583
15 punjabi-jatt-muslim_harappa @ 10.715835
16 kashmiri_harappa @ 10.758440
17 punjabi-jatt-sikh_harappa @ 10.795062
18 kashmiri-pahari_harappa @ 10.808704
19 haryana-jatt_harappa @ 10.881187
20 bihari-muslim_harappa @ 11.914953
Using 2 populations approximation:
1 50% nepali_harappa +50% nepali_harappa @ 3.454535
Using 3 populations approximation:
1 50% burusho_hgdp +25% singapore-indian-d_sgvp +25% tamil-vellalar_harappa @ 3.187774
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++
1 burusho_hgdp + lambadi_metspalu + punjabi-arain_xing + singapore-indian-d_sgvp @ 2.724478
2 burusho_hgdp + lambadi_metspalu + sindhi_hgdp + singapore-indian-d_sgvp @ 2.795484
3 burusho_hgdp + gujarati-patel_harappa + kashmiri_harappa + singapore-indian-d_sgvp @ 2.799374
4 burusho_hgdp + kerala-muslim_harappa + punjabi-arain_xing + singapore-indian-d_sgvp @ 2.806208
5 burusho_hgdp + gujarati-patel_harappa + punjabi-jatt-muslim_harappa + singapore-indian-d_sgvp @ 2.835799
6 burusho_hgdp + gujarati-muslim_harappa + gujarati-patel_harappa + singapore-indian-d_sgvp @ 2.839592
7 bengali_harappa + haryana-jatt_harappa + haryana-jatt_harappa + nepali_harappa @ 2.879024
8 burusho_hgdp + kerala-muslim_harappa + sindhi_hgdp + singapore-indian-d_sgvp @ 2.886234
9 burusho_hgdp + kashmiri-pahari_harappa + lambadi_metspalu + singapore-indian-d_sgvp @ 2.887963
10 bengali_harappa + haryana-jatt_harappa + nepali_harappa + rajasthani-brahmin_harappa @ 2.897405
11 burusho_hgdp + gujarati-a_hapmap + gujarati-muslim_harappa + singapore-indian-d_sgvp @ 2.898920
12 burusho_hgdp + kerala_harappa + meena_metspalu + singapore-indian-d_sgvp @ 2.923920
13 burusho_hgdp + sindhi_hgdp + singapore-indian-d_sgvp + sinhalese_harappa @ 2.931779
14 andhra-pradesh_harappa + burusho_hgdp + punjabi-arain_xing + singapore-indian-d_sgvp @ 2.932989
15 burusho_hgdp + karnataka_harappa + punjabi-arain_xing + singapore-indian-d_sgvp @ 2.936734
16 andhra-pradesh_harappa + burusho_hgdp + sindhi_hgdp + singapore-indian-d_sgvp @ 2.939651
17 burusho_hgdp + gujarati-a_1000genomes + gujarati-muslim_harappa + singapore-indian-d_sgvp @ 2.945054
18 burusho_hgdp + sindhi_hgdp + singapore-indian-d_sgvp + tharu_metspalu @ 2.957127
19 burusho_hgdp + sindhi_hgdp + singapore-indian-d_sgvp + south-african-indian_harappa @ 2.960705
20 burusho_hgdp + gujarati-patel_harappa + nepali_harappa + singapore-indian-d_sgvp @ 2.967565
First time I saw a "Pushtikar Brahmin" as a top match for a Bahun.
Nepali Khas Brahmin (Dhungel) 163946 SNPs used in this evaluation
Admix Results (sorted):
# Population Percent
1 S-Indian 33.57
2 Baloch 33.33
3 NE-Euro 12.43
4 Caucasian 11.67
5 Siberian 3.74
6 SE-Asian 2.24
7 Mediterranean 1.23
8 NE-Asian 1.19
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 pushtikar-brahmin_harappa @ 5.091119
2 nepali_harappa @ 5.828478
3 up-muslim_harappa @ 6.205473
4 rajasthani-brahmin_harappa @ 7.307971
5 kashmiri-pandit_reich @ 7.729126
6 kashmiri_harappa @ 8.054354
7 punjabi_harappa @ 8.164864
8 nepalese-a_xing @ 8.316539
9 punjabi-brahmin_harappa @ 8.394017
10 punjabi-jatt-muslim_harappa @ 8.663432
11 singapore-indian-c_sgvp @ 9.060476
12 punjabi-khatri_harappa @ 9.267936
13 punjabi-jatt-sikh_harappa @ 9.738752
14 up-brahmin_harappa @ 9.943675
15 punjabi-ramgarhia_harappa @ 10.102674
16 gujarati-muslim_harappa @ 10.140615
17 kashmiri-pahari_harappa @ 10.388577
18 haryana-jatt_harappa @ 10.910979
19 bihari-brahmin_harappa @ 11.153680
20 bengali-brahmin_harappa @ 11.599608
Using 2 populations approximation:
1 50% nepali_harappa +50% pushtikar-brahmin_harappa @ 4.318383
Using 3 populations approximation:
1 50% nepalese-a_xing +25% stalskoe_xing +25% vysya_reich @ 3.261522
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++
1 bengali_metspalu + nepalese-a_xing + oriya_harappa + stalskoe_xing @ 2.582158
2 bengali_metspalu + nepalese-a_xing + oriya_harappa + urkarah_xing @ 2.628903
3 nepalese-a_xing + oriya_harappa + srivastava_reich + stalskoe_xing @ 2.752786
4 nepalese-a_xing + oriya_harappa + south-african-indian_harappa + urkarah_xing @ 2.809407
5 brahmin-uttar-pradesh_metspalu + pushtikar-brahmin_harappa + srivastava_reich + tajik_yunusbayev @ 2.899612
6 nepalese-a_xing + oriya_harappa + sourastrian_harappa + stalskoe_xing @ 2.914411
7 dharkar_metspalu + nepalese-a_xing + oriya_harappa + stalskoe_xing @ 2.917006
8 kanjar_metspalu + nepalese-a_xing + oriya_harappa + stalskoe_xing @ 2.942174
9 nepalese-a_xing + oriya_harappa + stalskoe_xing + tharu_metspalu @ 3.003412
10 bengali-brahmin_harappa + pushtikar-brahmin_harappa + srivastava_reich + tajik_yunusbayev @ 3.017715
11 nepalese-a_xing + oriya_harappa + sourastrian_harappa + urkarah_xing @ 3.023630
12 brahmin-uttar-pradesh_metspalu + pushtikar-brahmin_harappa + sourastrian_harappa + tajik_yunusbayev @ 3.030467
13 bihari_harappa + nepalese-a_xing + oriya_harappa + stalskoe_xing @ 3.034277
14 dharkar_metspalu + nepalese-a_xing + oriya_harappa + urkarah_xing @ 3.035841
15 bengali_metspalu + nepalese-a_xing + stalskoe_xing + up-kshatriya_metspalu @ 3.040176
16 meghawal_metspalu + nepalese-a_xing + oriya_harappa + stalskoe_xing @ 3.054100
17 bihari-muslim_harappa + pushtikar-brahmin_harappa + srivastava_reich + tajik_yunusbayev @ 3.055295
18 bihari-muslim_harappa + oriya_harappa + oriya_harappa + urkarah_xing @ 3.088847
19 kanjar_metspalu + nepalese-a_xing + stalskoe_xing + up-kshatriya_metspalu @ 3.098613
20 nepalese-a_xing + oriya_harappa + singapore-indian-b_sgvp + stalskoe_xing @ 3.100043
Admix Results (sorted):
# Population Percent
1 S-Indian 33.57
2 Baloch 33.33
3 NE-Euro 12.43
4 Caucasian 11.67
5 Siberian 3.74
6 SE-Asian 2.24
7 Mediterranean 1.23
8 NE-Asian 1.19
9 American 0.4
10 Papuan 0.12
11 Beringian 0.09
Single Population Sharing:
# Population (source) Distance
1 up-muslim (harappa) 5.8
2 kashmiri-pandit (reich) 7.11
3 kashmiri (harappa) 7.43
4 punjabi (harappa) 7.53
5 nepalese-a (xing) 7.54
6 punjabi-brahmin (harappa) 7.75
7 punjabi-jatt-muslim (harappa) 8.12
8 singapore-indian-c (sgvp) 8.31
9 punjabi-khatri (harappa) 8.56
10 punjabi-jatt-sikh (harappa) 8.93
11 up-brahmin (harappa) 9.07
12 punjabi-ramgarhia (harappa) 9.21
13 gujarati-muslim (harappa) 9.36
14 kashmiri-pahari (harappa) 9.52
15 haryana-jatt (harappa) 10.02
16 bengali-brahmin (harappa) 10.5
17 brahmin-uttar-pradesh (metspalu) 10.84
18 sindhi (harappa) 10.98
19 bihari-muslim (harappa) 11.35
20 punjabi-arain (xing) 12.04
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 83.3% up-brahmin (harappa) + 16.7% nogai (yunusbayev) @ 2.89
2 59.7% srivastava (reich) + 40.3% tajik (yunusbayev) @ 2.92
3 81% bengali-brahmin (harappa) + 19% urkarah (xing) @ 3.06
4 80.5% brahmin-uttar-pradesh (metspalu) + 19.5% nogai (yunusbayev) @ 3.09
5 81.6% bengali-brahmin (harappa) + 18.4% lezgin (behar) @ 3.2
6 75.8% brahmin-uttar-pradesh (metspalu) + 24.2% turkmen (yunusbayev) @ 3.28
7 75.6% up-kshatriya (metspalu) + 24.4% stalskoe (xing) @ 3.37
8 80.7% bengali-brahmin (harappa) + 19.3% stalskoe (xing) @ 3.41
9 81.5% brahmin-uttar-pradesh (metspalu) + 18.5% kumyk (yunusbayev) @ 3.43
10 76% gujarati-b (hapmap) + 24% nogai (yunusbayev) @ 3.43
11 76.3% up-kshatriya (metspalu) + 23.7% nogai (yunusbayev) @ 3.48
12 80.2% brahmin-uttar-pradesh (metspalu) + 19.8% stalskoe (xing) @ 3.54
13 82.9% bengali-brahmin (harappa) + 17.1% chechen (yunusbayev) @ 3.62
14 84.5% up-brahmin (harappa) + 15.5% kumyk (yunusbayev) @ 3.68
15 79.9% bihari-muslim (harappa) + 20.1% urkarah (xing) @ 3.7
16 76.3% up-kshatriya (metspalu) + 23.7% urkarah (xing) @ 3.73
17 86% up-brahmin (harappa) + 14% balkar (yunusbayev) @ 3.73
18 77% vaish (reich) + 23% stalskoe (xing) @ 3.75
19 79.7% up-brahmin (harappa) + 20.3% turkmen (yunusbayev) @ 3.76
20 71.4% bihari-muslim (harappa) + 28.6% tajik (yunusbayev) @ 3.78
Kaazi
07-19-2022, 04:05 PM
@Godardt, repost with new info; this guy's maternal grandmother is from your clan in Nuwakot. Both of these Gorkha region Chhetris are lowest East Asian types.
Khatri Chhetri father/Khadka Chhetri mother; Godar Thapa Chhetri maternal grandmother of Nuwakot district
https://i.imgur.com/zIEfiAM.png
Shreepali Basnyat clan of Gorkha district -They're from the well known political-military aristocratic family of Gorkha- Abhiman Singh Basnyat's family. (https://en.wikipedia.org/wiki/Basnyat_family)
https://i.imgur.com/t7Ip6Mj.png
He's C-M130 making all from the Abhiman Singh's lineage to be of the non-distinguished C lineage (could be C-P92 popular in whole South Asia or a rare C-M217 found in Himalayan upper castes-Jammu, Uttarakhand, Nepal).
Rest are at my spreadsheet
https://docs.google.com/spreadsheets/d/1wOgUMgT707-ihkPHQokTgZLn4QNaVdn8DLDYA5t5soQ/edit?usp=sharing
Godardt
08-08-2022, 01:44 AM
@Godardt, repost with new info; this guy's maternal grandmother is from your clan in Nuwakot. Both of these Gorkha region Chhetris are lowest East Asian types.
Khatri Chhetri father/Khadka Chhetri mother; Godar Thapa Chhetri maternal grandmother of Nuwakot district
https://i.imgur.com/zIEfiAM.png
Shreepali Basnyat clan of Gorkha district -They're from the well known political-military aristocratic family of Gorkha- Abhiman Singh Basnyat's family. (https://en.wikipedia.org/wiki/Basnyat_family)
https://i.imgur.com/t7Ip6Mj.png
He's C-M130 making all from the Abhiman Singh's lineage to be of the non-distinguished C lineage (could be C-P92 popular in whole South Asia or a rare C-M217 found in Himalayan upper castes-Jammu, Uttarakhand, Nepal).
Rest are at my spreadsheet
https://docs.google.com/spreadsheets/d/1wOgUMgT707-ihkPHQokTgZLn4QNaVdn8DLDYA5t5soQ/edit?usp=sharingThank you. Very interesting. I just saw it today. Have not been in touch off late.
Sent from my Mi 10 using Tapatalk
Kaazi
09-11-2022, 05:09 AM
A new caste kit: Khas Sanyasi or Jogi/Yogi, simply Sanyasi/Sannesi/Jogi.
By definition:
Any Khas Brahmin/Kshatriya who takes renunciation from Grihasta/household life but later produces progenies, their kids would lose the father's original clan/caste and became Sanyasis or Jogis. Their Sanyasa phase title was converted into clan name: Giri, Puri, Bharati, Saraswati, Ban, Aranya, Yogi/Jogi. But there are also some Sanyasi/ Jogi with original clan title like the Jogi Kunwar clan who descended from Chhetri Kunwar clan.
Traditional hierarchy: lower than Khas Chhetris, higher than Khas Dalits.
Varna hierarchy: Avarna (out of four fold varna system)
@NPKTO and @Godardt, I thought Sanyasis would score like Brahmins/Bahuns but this kit looks more like Chhetri convert. But it is also certain that they're mix of Bahuns and Chhetris- they dont have separate origins.
Khas Sanyasi/ Jogi (Giri clan)
https://i.imgur.com/nAKFOiA.png
The Jaishi (Kattel kit) scored ditto to Bahuns but Sanyasi (Giri kit) scores more like Chhetri. Really interesting.
Kaazi
09-17-2022, 05:16 PM
Nepali Khas Chhetri
https://i.imgur.com/GWlMHa1.png
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