Nepalese DNA

Found in reddit.

Gautam (Bahun/Brahmin)
https://i.imgur.com/GxzhX2a.jpg

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

Chhetri heatmap chart (harappaworld calculator:

https://i.imgur.com/iULZ2XH.png

Attachment 105851

https://i.imgur.com/wAXmZRH.png

Quote:

---

Originally Posted by Kaazi

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

Spoiler!

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

Spoiler!

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).

Quote:

---

Originally Posted by Kaazi

@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

Quote:

---

Originally Posted by Godardt

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/arti...tion/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.

Code:

---

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

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

@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

Spoiler!

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

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

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%