Maguzanci
03-01-2020, 07:42 PM
Look like this is the only gedmatch kit of a Central Highland tribe from Vietnam. For those who don't know, here, they are a tribal Austroasiatic/Mon-Khmer ethnic group: https://en.wikipedia.org/wiki/Bahnar_people
What is interesting is this individual score South Asian and very minor West Eurasian unlike most Vietnamese which is strange as you would expected a tribe such as Bahnar to live very isolated from mainstream society for them to receive this Indian-like admixture.
His PuntDNAL K13: The result is a bit peculiar and can be modelled as Dai+minor South Asian or Vietnamese+some Middle Eastern.
Admix Results (sorted):
# Population Percent
1 NE_Asia 47.24
2 SE_Asia 39.14
3 South_Asia 7.09
4 Oceania 2.89
5 SW_Asia 1.29
6 East_Africa 0.95
7 West_Asia 0.86
8 SW_Europe 0.42
9 South_Africa 0.12
Single Population Sharing:
# Population (source) Distance
1 Vietnamese 4.95
2 Dai 7.26
3 Lahu 10.13
4 Thai 12.21
5 Burmese 16.98
6 Cambodian 18.07
7 Miaozu 20.13
8 Malayan 23.85
9 She 25.19
10 Han_South_China 25.25
11 Filipino 27.92
12 Visayan 27.97
13 Luzon 28.31
14 Naxi 32.83
15 Dusun 36.06
16 Han_North_China 37.93
17 Murut 38.09
18 Korean 41.43
19 Xibo 43.03
20 Japanese 45.56
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 63.9% Dai + 36.1% Thai @ 2.74
2 54.3% Miaozu + 45.7% Malayan @ 2.75
3 51.4% Malayan + 48.6% She @ 2.87
4 92.1% Dai + 7.9% Tamil_Nadu_Caste @ 3.14
5 92.2% Dai + 7.8% Pulliyar @ 3.18
6 91.6% Dai + 8.4% Gond @ 3.2
7 92.4% Dai + 7.6% Paniya @ 3.22
8 92.5% Dai + 7.5% Hakkipikki @ 3.22
9 92.4% Dai + 7.6% Sakilli @ 3.23
10 92.1% Dai + 7.9% Chenchus @ 3.23
11 92.3% Dai + 7.7% North_Kannadi @ 3.23
12 92.3% Dai + 7.7% Piramalai_Kallars @ 3.26
13 91.5% Dai + 8.5% Bengali @ 3.26
14 92.2% Dai + 7.8% UP_Muslim @ 3.29
15 92.4% Dai + 7.6% Kurumba @ 3.31
16 71.2% Lahu + 28.8% Malayan @ 3.36
17 95.3% Vietnamese + 4.7% Egyptian @ 3.36
18 76.4% Vietnamese + 23.6% Thai @ 3.37
19 95.5% Vietnamese + 4.5% Yemeni @ 3.4
20 91.3% Dai + 8.7% Mawasi @ 3.41
Here is the Vahaduo result of the PuntDNAL K13: Murut is showing the minor Austronesian affinity of this sample. What is interesting is that the result also score almost 3% West Eurasian/Caucasoid (Saudi+Brahui), 2% Australoid/Papuan, almost 1% African (South Sudanese) and 1.6% ASI (ancestral South Indian)
Distance: 0.6132% / 0.61320959
51.6 Vietnamese
38.8 Dai
2.6 Murut
2.6 Saudi
1.8 Papuan
1.6 Simulated_AASI
0.8 Sudanese_South
0.2 Brahui
MDLP World result: He score a lot of Indian compared to ethnic Kinh. Wonder how his result compared to other Vietnamese ethnic minorities. It also interesting he score Middle Eastern and African.
Admix Results (sorted):
# Population Percent
1 East_Asian 85.87
2 Indian 8.77
3 Middle_East 2.26
4 Melanesian 1.27
5 Sub_Saharian 0.91
6 Paleo_African 0.65
7 North_Asian 0.27
Single Population Sharing:
# Population (source) Distance
1 Indian-East 6.85
2 Khmer 7.43
3 Yizu 10.77
4 Naxi 10.85
5 Han 12.03
6 Han-Beijing 12.19
7 Dai 12.32
8 Lahu 12.41
9 Indian_East 12.78
10 Tujia 13.07
11 Chinese-South 13.65
12 Miaozu 14.61
13 Buma 14.71
14 She 15.01
15 Tu 15.93
16 Japanese 16.11
17 Xibo 26.46
18 Mongola 34.34
19 Daur 38.78
20 Hezhen 39.02
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 65.8% Khmer + 34.2% Chinese-South @ 2.56
2 64.8% Khmer + 35.2% Tujia @ 2.58
3 67.4% Khmer + 32.6% Miaozu @ 2.67
4 68.1% Khmer + 31.9% She @ 2.72
5 62.9% Khmer + 37.1% Han @ 2.75
6 63.7% Khmer + 36.3% Lahu @ 2.76
7 63.5% Khmer + 36.5% Dai @ 2.78
8 54.6% Dai + 45.4% Buma @ 2.87
9 54.4% Lahu + 45.6% Buma @ 2.88
10 77.6% Lahu + 22.4% Kusunda @ 3.12
11 77.7% Dai + 22.3% Kusunda @ 3.14
12 50.5% Buma + 49.5% She @ 3.17
13 50.2% Miaozu + 49.8% Buma @ 3.21
14 63.8% Khmer + 36.2% Han-Beijing @ 3.26
15 88.1% Dai + 11.9% Indian @ 3.33
16 88% Lahu + 12% Indian @ 3.35
17 74.6% Miaozu + 25.4% Kusunda @ 3.53
18 61% Khmer + 39% Yizu @ 3.6
19 74% She + 26% Kusunda @ 3.62
20 52% Chinese-South + 48% Buma @ 3.73
Vahaduo model of MDLP World result: He is mostly Dai+some Chinese (used to represent Viet-like ancestry as there are no Viet samples here), 7% (Ancient Ancestral South Indian-an indigenous component to South Asians, it indicated that this individual has Indian ancestry), 3% West Eurasian (all Saudi which is weird), almost 1% African and almost zero Papuan.
77.0 Dai
11.2 Chinese-South
7.4 Simulated_AASI
3.2 Saudi
0.8 Yoruba
0.4 Papuan
PuntDNAL K12 Modern: The South Asian here also seems like actual Indian ancestry or something ASI related. Interestingly here, his West (around 3.6% here) Eurasian/Caucasoid seem mostly European here with some Near Eastern (there is also Anatolian Neolithic but is likely noise)
Admix Results (sorted):
# Population Percent
1 East_Asian 81.04
2 South_Asian 6.17
3 Beringian 3.83
4 European_HG 3.01
5 Siberian 2.52
6 Oceanian 2.43
7 Near_East 0.61
8 Sub-Saharan 0.38
9 Anatolian_NF 0.03
Single Population Sharing:
# Population (source) Distance
1 Cambodian 8.85
2 Vietnamese 9.82
3 Han_Chinese 14.97
4 Ami 19.01
5 Japanese 23.88
6 Korean 26.1
7 Mongolian 33.45
8 Hazara 61.37
9 Altaian 66.43
10 Tuvinian 67.71
11 Turkmen 70.63
12 Uzbek 71.65
13 Nogai 78.09
14 Bengali_Muslim 79.99
15 Burusho 83.43
16 Turkish_Aydin 84.26
17 Dolgan 85.68
18 Somali_Benadiri 86.21
19 Turkish 86.79
20 Chuvash 87.01
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 54.1% Cambodian + 45.9% Vietnamese @ 5.59
2 91.8% Vietnamese + 8.2% Punjabi_Jatt_Muslim @ 5.95
3 92% Vietnamese + 8% UP_Muslim @ 5.97
4 91.9% Vietnamese + 8.1% Haryana_Jatt @ 6.04
5 91.9% Vietnamese + 8.1% Punjabi_Jatt_Sikh @ 6.05
6 91.2% Vietnamese + 8.8% Bengali_Muslim @ 6.06
7 91.9% Vietnamese + 8.1% Kashmir @ 6.07
8 92.6% Vietnamese + 7.4% Lithuanian @ 6.16
9 92.6% Vietnamese + 7.4% Estonian @ 6.17
10 92.3% Vietnamese + 7.7% Gujarati @ 6.19
11 92.5% Vietnamese + 7.5% Belarusian @ 6.21
12 74.1% Cambodian + 25.9% Ami @ 6.24
13 92.4% Vietnamese + 7.6% Czech @ 6.24
14 92.3% Vietnamese + 7.7% Keralam @ 6.25
15 92.4% Vietnamese + 7.6% Russian @ 6.27
16 91.7% Vietnamese + 8.3% Burusho @ 6.28
17 92.6% Vietnamese + 7.4% Icelandic @ 6.28
18 92.5% Vietnamese + 7.5% Scottish_West @ 6.29
19 92.2% Vietnamese + 7.8% Pathan @ 6.31
20 92.4% Vietnamese + 7.6% Hungarian @ 6.32
nMonte model of the PuntDNAL K12 Modern result:
It get bad distance fits though. So the PuntDNA K12 calc in this case might be more accurate than the nMonte.
[1] "distance%=3.942"
Vietnamese,46.9
Ami,39.7
Simulated_AASI,4.8
Lithuanian,4.7
Papuan,2.4
Saudi,0.7
Yoruba,0.6
Khomani,0.2
Han_Chinese,0
Makrani,0
Basque_Spaniard,0
Kurdish,0
His Eurasia K3: I don't think he has actual SSA. It might be a Basal Eurasian affinity from his South Asian and West Eurasian admix. The percent of West Eurasian is higher than other calculators though.
E_Eurasian 93.14 Pct
SSA 1.89 Pct
W_Eurasian 4.98 Pct
What do you think? Is this individual's result of different from most Vietnamese that you saw?
What is interesting is this individual score South Asian and very minor West Eurasian unlike most Vietnamese which is strange as you would expected a tribe such as Bahnar to live very isolated from mainstream society for them to receive this Indian-like admixture.
His PuntDNAL K13: The result is a bit peculiar and can be modelled as Dai+minor South Asian or Vietnamese+some Middle Eastern.
Admix Results (sorted):
# Population Percent
1 NE_Asia 47.24
2 SE_Asia 39.14
3 South_Asia 7.09
4 Oceania 2.89
5 SW_Asia 1.29
6 East_Africa 0.95
7 West_Asia 0.86
8 SW_Europe 0.42
9 South_Africa 0.12
Single Population Sharing:
# Population (source) Distance
1 Vietnamese 4.95
2 Dai 7.26
3 Lahu 10.13
4 Thai 12.21
5 Burmese 16.98
6 Cambodian 18.07
7 Miaozu 20.13
8 Malayan 23.85
9 She 25.19
10 Han_South_China 25.25
11 Filipino 27.92
12 Visayan 27.97
13 Luzon 28.31
14 Naxi 32.83
15 Dusun 36.06
16 Han_North_China 37.93
17 Murut 38.09
18 Korean 41.43
19 Xibo 43.03
20 Japanese 45.56
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 63.9% Dai + 36.1% Thai @ 2.74
2 54.3% Miaozu + 45.7% Malayan @ 2.75
3 51.4% Malayan + 48.6% She @ 2.87
4 92.1% Dai + 7.9% Tamil_Nadu_Caste @ 3.14
5 92.2% Dai + 7.8% Pulliyar @ 3.18
6 91.6% Dai + 8.4% Gond @ 3.2
7 92.4% Dai + 7.6% Paniya @ 3.22
8 92.5% Dai + 7.5% Hakkipikki @ 3.22
9 92.4% Dai + 7.6% Sakilli @ 3.23
10 92.1% Dai + 7.9% Chenchus @ 3.23
11 92.3% Dai + 7.7% North_Kannadi @ 3.23
12 92.3% Dai + 7.7% Piramalai_Kallars @ 3.26
13 91.5% Dai + 8.5% Bengali @ 3.26
14 92.2% Dai + 7.8% UP_Muslim @ 3.29
15 92.4% Dai + 7.6% Kurumba @ 3.31
16 71.2% Lahu + 28.8% Malayan @ 3.36
17 95.3% Vietnamese + 4.7% Egyptian @ 3.36
18 76.4% Vietnamese + 23.6% Thai @ 3.37
19 95.5% Vietnamese + 4.5% Yemeni @ 3.4
20 91.3% Dai + 8.7% Mawasi @ 3.41
Here is the Vahaduo result of the PuntDNAL K13: Murut is showing the minor Austronesian affinity of this sample. What is interesting is that the result also score almost 3% West Eurasian/Caucasoid (Saudi+Brahui), 2% Australoid/Papuan, almost 1% African (South Sudanese) and 1.6% ASI (ancestral South Indian)
Distance: 0.6132% / 0.61320959
51.6 Vietnamese
38.8 Dai
2.6 Murut
2.6 Saudi
1.8 Papuan
1.6 Simulated_AASI
0.8 Sudanese_South
0.2 Brahui
MDLP World result: He score a lot of Indian compared to ethnic Kinh. Wonder how his result compared to other Vietnamese ethnic minorities. It also interesting he score Middle Eastern and African.
Admix Results (sorted):
# Population Percent
1 East_Asian 85.87
2 Indian 8.77
3 Middle_East 2.26
4 Melanesian 1.27
5 Sub_Saharian 0.91
6 Paleo_African 0.65
7 North_Asian 0.27
Single Population Sharing:
# Population (source) Distance
1 Indian-East 6.85
2 Khmer 7.43
3 Yizu 10.77
4 Naxi 10.85
5 Han 12.03
6 Han-Beijing 12.19
7 Dai 12.32
8 Lahu 12.41
9 Indian_East 12.78
10 Tujia 13.07
11 Chinese-South 13.65
12 Miaozu 14.61
13 Buma 14.71
14 She 15.01
15 Tu 15.93
16 Japanese 16.11
17 Xibo 26.46
18 Mongola 34.34
19 Daur 38.78
20 Hezhen 39.02
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 65.8% Khmer + 34.2% Chinese-South @ 2.56
2 64.8% Khmer + 35.2% Tujia @ 2.58
3 67.4% Khmer + 32.6% Miaozu @ 2.67
4 68.1% Khmer + 31.9% She @ 2.72
5 62.9% Khmer + 37.1% Han @ 2.75
6 63.7% Khmer + 36.3% Lahu @ 2.76
7 63.5% Khmer + 36.5% Dai @ 2.78
8 54.6% Dai + 45.4% Buma @ 2.87
9 54.4% Lahu + 45.6% Buma @ 2.88
10 77.6% Lahu + 22.4% Kusunda @ 3.12
11 77.7% Dai + 22.3% Kusunda @ 3.14
12 50.5% Buma + 49.5% She @ 3.17
13 50.2% Miaozu + 49.8% Buma @ 3.21
14 63.8% Khmer + 36.2% Han-Beijing @ 3.26
15 88.1% Dai + 11.9% Indian @ 3.33
16 88% Lahu + 12% Indian @ 3.35
17 74.6% Miaozu + 25.4% Kusunda @ 3.53
18 61% Khmer + 39% Yizu @ 3.6
19 74% She + 26% Kusunda @ 3.62
20 52% Chinese-South + 48% Buma @ 3.73
Vahaduo model of MDLP World result: He is mostly Dai+some Chinese (used to represent Viet-like ancestry as there are no Viet samples here), 7% (Ancient Ancestral South Indian-an indigenous component to South Asians, it indicated that this individual has Indian ancestry), 3% West Eurasian (all Saudi which is weird), almost 1% African and almost zero Papuan.
77.0 Dai
11.2 Chinese-South
7.4 Simulated_AASI
3.2 Saudi
0.8 Yoruba
0.4 Papuan
PuntDNAL K12 Modern: The South Asian here also seems like actual Indian ancestry or something ASI related. Interestingly here, his West (around 3.6% here) Eurasian/Caucasoid seem mostly European here with some Near Eastern (there is also Anatolian Neolithic but is likely noise)
Admix Results (sorted):
# Population Percent
1 East_Asian 81.04
2 South_Asian 6.17
3 Beringian 3.83
4 European_HG 3.01
5 Siberian 2.52
6 Oceanian 2.43
7 Near_East 0.61
8 Sub-Saharan 0.38
9 Anatolian_NF 0.03
Single Population Sharing:
# Population (source) Distance
1 Cambodian 8.85
2 Vietnamese 9.82
3 Han_Chinese 14.97
4 Ami 19.01
5 Japanese 23.88
6 Korean 26.1
7 Mongolian 33.45
8 Hazara 61.37
9 Altaian 66.43
10 Tuvinian 67.71
11 Turkmen 70.63
12 Uzbek 71.65
13 Nogai 78.09
14 Bengali_Muslim 79.99
15 Burusho 83.43
16 Turkish_Aydin 84.26
17 Dolgan 85.68
18 Somali_Benadiri 86.21
19 Turkish 86.79
20 Chuvash 87.01
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 54.1% Cambodian + 45.9% Vietnamese @ 5.59
2 91.8% Vietnamese + 8.2% Punjabi_Jatt_Muslim @ 5.95
3 92% Vietnamese + 8% UP_Muslim @ 5.97
4 91.9% Vietnamese + 8.1% Haryana_Jatt @ 6.04
5 91.9% Vietnamese + 8.1% Punjabi_Jatt_Sikh @ 6.05
6 91.2% Vietnamese + 8.8% Bengali_Muslim @ 6.06
7 91.9% Vietnamese + 8.1% Kashmir @ 6.07
8 92.6% Vietnamese + 7.4% Lithuanian @ 6.16
9 92.6% Vietnamese + 7.4% Estonian @ 6.17
10 92.3% Vietnamese + 7.7% Gujarati @ 6.19
11 92.5% Vietnamese + 7.5% Belarusian @ 6.21
12 74.1% Cambodian + 25.9% Ami @ 6.24
13 92.4% Vietnamese + 7.6% Czech @ 6.24
14 92.3% Vietnamese + 7.7% Keralam @ 6.25
15 92.4% Vietnamese + 7.6% Russian @ 6.27
16 91.7% Vietnamese + 8.3% Burusho @ 6.28
17 92.6% Vietnamese + 7.4% Icelandic @ 6.28
18 92.5% Vietnamese + 7.5% Scottish_West @ 6.29
19 92.2% Vietnamese + 7.8% Pathan @ 6.31
20 92.4% Vietnamese + 7.6% Hungarian @ 6.32
nMonte model of the PuntDNAL K12 Modern result:
It get bad distance fits though. So the PuntDNA K12 calc in this case might be more accurate than the nMonte.
[1] "distance%=3.942"
Vietnamese,46.9
Ami,39.7
Simulated_AASI,4.8
Lithuanian,4.7
Papuan,2.4
Saudi,0.7
Yoruba,0.6
Khomani,0.2
Han_Chinese,0
Makrani,0
Basque_Spaniard,0
Kurdish,0
His Eurasia K3: I don't think he has actual SSA. It might be a Basal Eurasian affinity from his South Asian and West Eurasian admix. The percent of West Eurasian is higher than other calculators though.
E_Eurasian 93.14 Pct
SSA 1.89 Pct
W_Eurasian 4.98 Pct
What do you think? Is this individual's result of different from most Vietnamese that you saw?