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View Full Version : Evidence of South Asian admixture in some Philipinos



Tsakhur
11-27-2020, 10:29 AM
Most Philipino Gedmatch results that doesn't seem to have South Asian admixture or very little, and when do score some South Asian-like component on Harappa, Dodecad or other calcs, they don't usually have Iran_N admixture (Baloch, Gedrosia, Caucasus, etc). I think the South Asian-like signal most Pinos score is something Negrito or local AASI-like affinity rather than actual Indian gene flow. Nevertheless, the following kits seem to have them.

I don't know where in the Philippines these kits are originally from, but they seem to come from a place that have recent Indian settlers (Sepoy soldiers) like Cainta in Rizal, Luzon or maybe they come from a region where there it preserved better South Asian admixture than the rest of the archipelago possibly in Visayas or in Mindanao which is closer to Indonesia and Malaysia (Borneo). Maybe its precolonial and before the arrival of Spaniards? There used to be Indianized Hindu Buddhist Kingdoms in the Philippines before Spanish colonization: https://www.aswangproject.com/understand-philippine-mythology-indianized/
https://kreately.in/indian-imprints-in-pre-colonial-philippines/
https://twitter.com/porbotialora/status/1181211385830621184

It's plausible that the Moros (Filipino Muslims) might have more and preserve South Asian admixture better than Filo (another term for Filipino) Christians because they never got colonized by the Spaniards. Moreover, they lived in the far south in Mindanao and surrounding islands like Sulu, which is closer to Indonesia and Malaysia.

If you remember that Vizayan sample on G25 (unfortunately there is only Vizayan sample in the G25 dataset), he/she seems to have some Indian admixture including Iran_N+Steppe but doesn't score any Spanish admixture:

Target: Vizayan:GS000019970
Distance: 1.5678% / 0.01567765
75.4 Igorot
10.4 MYS_LN
4.8 S_AASI_Sim(Hakkipikki)
3.8 Papuan
2.4 Yamnaya_RUS_Samara
1.4 Han_Zhejiang
1.2 Spanish_Extremadura
0.6 TKM_Gonur1_BA

Anyway let's start...

1. This individual have the highest South Asian admixture I have seen among Filipinos. She lives in Guam which has a huge Pinoy immigrant population but seems to originally come from Zamboanga which is Mindanao, in the far south which is near Indonesia and Malaysia. I'm not sure if her admix is from recent Indian settlers or dated back to the precolonial times:

Admix Results (sorted):

# Population Percent
1 SE-Asian 51.25
2 NE-Asian 25.4
3 S-Indian 12.99
4 Baloch 4.5
5 Papuan 2.95
6 Caucasian 1
7 San 0.82
8 NE-Euro 0.48
9 American 0.32
10 E-African 0.16
11 Siberian 0.12

Single Population Sharing:

# Population (source) Distance
1 khmer-cambodian (xing) 14.37
2 lahu (hgdp) 16.13
3 thai (xing) 16.22
4 kinh (1000genomes) 17.28
5 vietnamese (xing) 17.89
6 dai-chinese (1000genomes) 21.52
7 dai (hgdp) 22.69
8 cambodian (hgdp) 24.47
9 khasi (chaubey) 27.05
10 singapore-malay (sgvp) 27.22
11 burmanese (chaubey) 28.38
12 garo (chaubey) 31.59
13 miao (hgdp) 38.41
14 singapore-chinese (sgvp) 40.33
15 she (hgdp) 42.46
16 chinese (xing) 42.48
17 iban (xing) 42.67
18 samoan (xing) 43.09
19 han-chinese-south (1000genomes) 43.62
20 han (hgdp) 43.88

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 79.9% kinh (1000genomes) + 20.1% tharu (reich) @ 3.95
2 84.5% thai (xing) + 15.5% japanese (hapmap) @ 4.12
3 80.1% kinh (1000genomes) + 19.9% satnami (reich) @ 4.12
4 80.2% kinh (1000genomes) + 19.8% gond (metspalu) @ 4.12
5 84.5% thai (xing) + 15.5% japanese (1000genomes) @ 4.14
6 54.5% dai (hgdp) + 45.5% khasi (chaubey) @ 4.24
7 69.8% dai-chinese (1000genomes) + 30.2% great-andamanese (reich) @ 4.33
8 81.6% kinh (1000genomes) + 18.4% bhil (reich) @ 4.35
9 77.2% dai-chinese (1000genomes) + 22.8% chenchu (metspalu) @ 4.35
10 78.8% kinh (1000genomes) + 21.2% sahariya (reich) @ 4.39
11 81% kinh (1000genomes) + 19% tamil-nadar (harappa) @ 4.4
12 81.7% kinh (1000genomes) + 18.3% sakilli (chaubey) @ 4.4
13 81.5% kinh (1000genomes) + 18.5% piramalai-kallar (metspalu) @ 4.42
14 81.3% kinh (1000genomes) + 18.7% singapore-indian-a (sgvp) @ 4.44
15 74% dai-chinese (1000genomes) + 26% bengali (harappa) @ 4.45
16 81.1% kinh (1000genomes) + 18.9% tamil-nadu-scheduled-caste (metspalu) @ 4.45
17 81.3% kinh (1000genomes) + 18.7% hallaki (reich) @ 4.45
18 81.4% kinh (1000genomes) + 18.6% kurumba (metspalu) @ 4.47
19 55.9% dai-chinese (1000genomes) + 44.1% khasi (chaubey) @ 4.49
20 80.8% kinh (1000genomes) + 19.2% sinhalese (harappa) @ 4.49

2. Not sure where in the Phils she is from. But she has the second highest South Asian admix I have seen among Filipinos.

Admix Results (sorted):

# Population Percent
1 SE-Asian 55.53
2 NE-Asian 25.61
3 S-Indian 10.44
4 Papuan 3.38
5 Baloch 3.09
6 Beringian 0.49
7 Caucasian 0.45
8 NE-Euro 0.31
9 SW-Asian 0.26
10 San 0.25
11 American 0.1
12 Mediterranean 0.09



Single Population Sharing:

# Population (source) Distance
1 khmer-cambodian (xing) 11.73
2 kinh (1000genomes) 13.56
3 lahu (hgdp) 14.06
4 thai (xing) 14.84
5 vietnamese (xing) 15.1
6 dai-chinese (1000genomes) 16.93
7 dai (hgdp) 17.99
8 cambodian (hgdp) 21.47
9 singapore-malay (sgvp) 24.3
10 khasi (chaubey) 31.72
11 burmanese (chaubey) 31.97
12 garo (chaubey) 35.08
13 iban (xing) 39.12
14 miao (hgdp) 39.14
15 samoan (xing) 40.64
16 singapore-chinese (sgvp) 41.11
17 she (hgdp) 43.33
18 chinese (xing) 43.45
19 tongan (xing) 44.45
20 han-chinese-south (1000genomes) 44.59

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 76.1% dai-chinese (1000genomes) + 23.9% great-andamanese (reich) @ 3.06
2 76.3% dai-chinese (1000genomes) + 23.7% onge (reich) @ 3.79
3 74.1% thai (xing) + 25.9% singapore-chinese (sgvp) @ 3.93
4 75.1% dai (hgdp) + 24.9% great-andamanese (reich) @ 3.94
5 75.1% thai (xing) + 24.9% she (hgdp) @ 3.97
6 64.2% dai (hgdp) + 35.8% khasi (chaubey) @ 4
7 77.8% singapore-malay (sgvp) + 22.2% japanese (xing) @ 4
8 73.2% thai (xing) + 26.8% miao (hgdp) @ 4.03
9 81.3% dai-chinese (1000genomes) + 18.7% tharu (reich) @ 4.06
10 82.2% dai-chinese (1000genomes) + 17.8% chenchu (metspalu) @ 4.07
11 75.7% thai (xing) + 24.3% han-chinese-south (1000genomes) @ 4.08
12 78.5% singapore-malay (sgvp) + 21.5% japanese (1000genomes) @ 4.14
13 75.2% thai (xing) + 24.8% chinese (xing) @ 4.17
14 82.9% dai-chinese (1000genomes) + 17.1% tamil-vishwakarma (harappa) @ 4.17
15 82.9% dai-chinese (1000genomes) + 17.1% kurumba (reich) @ 4.17
16 82.8% dai-chinese (1000genomes) + 17.2% bhil (reich) @ 4.18
17 75.8% thai (xing) + 24.2% han (hgdp) @ 4.19
18 83% dai-chinese (1000genomes) + 17% north-kannadi (chaubey) @ 4.19
19 83% dai-chinese (1000genomes) + 17% hakkipikki (metspalu) @ 4.25
20 82.7% dai-chinese (1000genomes) + 17.3% kamsali (reich) @ 4.26


3. Not sure where in the Philippines she is originally from (maybe somewhere like Visayas or Mindanao) but she has the third highest South Asian I have seen among Pinoys. Much less than the first two though.

Admix Results (sorted):

# Population Percent
1 SE-Asian 56.58
2 NE-Asian 28.56
3 S-Indian 6.56
4 Papuan 3.05
5 Baloch 1.36
6 SW-Asian 0.93
7 Siberian 0.8
8 NE-Euro 0.62
9 Pygmy 0.45
10 Beringian 0.41
11 E-African 0.27
12 San 0.22
13 Mediterranean 0.18



Single Population Sharing:

# Population (source) Distance
1 kinh (1000genomes) 9.23
2 lahu (hgdp) 9.91
3 vietnamese (xing) 10.68
4 dai-chinese (1000genomes) 13.61
5 khmer-cambodian (xing) 14.09
6 dai (hgdp) 15.12
7 thai (xing) 17.95
8 cambodian (hgdp) 23.05
9 singapore-malay (sgvp) 25.96
10 burmanese (chaubey) 32.32
11 khasi (chaubey) 34.87
12 garo (chaubey) 35.41
13 miao (hgdp) 36.45
14 singapore-chinese (sgvp) 38.47
15 iban (xing) 39.72
16 she (hgdp) 40.75
17 chinese (xing) 40.93
18 samoan (xing) 41.55
19 han-chinese-south (1000genomes) 42.05
20 han (hgdp) 42.39

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.9% singapore-malay (sgvp) + 38.1% han-chinese-south (1000genomes) @ 2.26
2 63.9% singapore-malay (sgvp) + 36.1% chinese-american (hapmap) @ 2.26
3 61.1% singapore-malay (sgvp) + 38.9% she (hgdp) @ 2.31
4 62.1% singapore-malay (sgvp) + 37.9% han (hgdp) @ 2.31
5 61.2% singapore-malay (sgvp) + 38.8% chinese (xing) @ 2.34
6 59.8% singapore-malay (sgvp) + 40.2% singapore-chinese (sgvp) @ 2.38
7 64% singapore-malay (sgvp) + 36% tujia (hgdp) @ 2.41
8 58.5% singapore-malay (sgvp) + 41.5% miao (hgdp) @ 2.54
9 76.8% singapore-malay (sgvp) + 23.2% japanese (1000genomes) @ 3.03
10 69.2% singapore-malay (sgvp) + 30.8% chinese-beijing (1000genomes) @ 3.2
11 66.7% cambodian (hgdp) + 33.3% chinese-american (hapmap) @ 3.29
12 64.8% cambodian (hgdp) + 35.2% han-chinese-south (1000genomes) @ 3.32
13 64.9% cambodian (hgdp) + 35.1% han (hgdp) @ 3.33
14 66.8% cambodian (hgdp) + 33.2% tujia (hgdp) @ 3.35
15 64% cambodian (hgdp) + 36% she (hgdp) @ 3.36
16 64.1% cambodian (hgdp) + 35.9% chinese (xing) @ 3.36
17 62.7% cambodian (hgdp) + 37.3% singapore-chinese (sgvp) @ 3.39
18 61.4% cambodian (hgdp) + 38.6% miao (hgdp) @ 3.43
19 63.6% vietnamese (xing) + 36.4% thai (xing) @ 3.49
20 65.6% lahu (hgdp) + 34.4% thai (xing) @ 3.62


4. Not sure where in the Philippines she is originally from (maybe somewhere like Visayas or Mindanao) but she has the fourth highest South Asian I have seen among Pinoys. Also much lower than the first two though.

Admix Results (sorted):

# Population Percent
1 SE-Asian 55.24
2 NE-Asian 31.69
3 S-Indian 6.15
4 Papuan 3.1
5 Baloch 1.75
6 Caucasian 1.09
7 Pygmy 0.47
8 Mediterranean 0.29
9 W-African 0.22

Single Population Sharing:

# Population (source) Distance
1 lahu (hgdp) 7.72
2 vietnamese (xing) 8.51
3 kinh (1000genomes) 8.51
4 dai-chinese (1000genomes) 14.58
5 dai (hgdp) 16.48
6 khmer-cambodian (xing) 17.21
7 thai (xing) 21.06
8 cambodian (hgdp) 26.25
9 singapore-malay (sgvp) 29.18
10 burmanese (chaubey) 30.39
11 miao (hgdp) 33.31
12 garo (chaubey) 33.46
13 khasi (chaubey) 34.75
14 singapore-chinese (sgvp) 35.3
15 she (hgdp) 37.57
16 chinese (xing) 37.78
17 han-chinese-south (1000genomes) 38.89
18 han (hgdp) 39.24
19 chinese-american (hapmap) 42.7
20 iban (xing) 42.71


Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 56.3% singapore-malay (sgvp) + 43.7% she (hgdp) @ 2.65
2 57.2% singapore-malay (sgvp) + 42.8% han-chinese-south (1000genomes) @ 2.69
3 54.8% singapore-malay (sgvp) + 45.2% singapore-chinese (sgvp) @ 2.7
4 57.4% singapore-malay (sgvp) + 42.6% han (hgdp) @ 2.82
5 56.5% singapore-malay (sgvp) + 43.5% chinese (xing) @ 2.84
6 59.5% singapore-malay (sgvp) + 40.5% chinese-american (hapmap) @ 2.86
7 53.3% singapore-malay (sgvp) + 46.7% miao (hgdp) @ 2.97
8 59.6% singapore-malay (sgvp) + 40.4% tujia (hgdp) @ 3.08
9 87.9% kinh (1000genomes) + 12.1% great-andamanese (reich) @ 3.12
10 88% kinh (1000genomes) + 12% onge (reich) @ 3.23
11 59% cambodian (hgdp) + 41% she (hgdp) @ 3.58
12 89.9% kinh (1000genomes) + 10.1% bengali (harappa) @ 3.59
13 90.5% kinh (1000genomes) + 9.5% cochin-jew (behar) @ 3.6
14 57.5% cambodian (hgdp) + 42.5% singapore-chinese (sgvp) @ 3.61
15 59.8% cambodian (hgdp) + 40.2% han-chinese-south (1000genomes) @ 3.61
16 90.7% kinh (1000genomes) + 9.3% kerala-muslim (harappa) @ 3.61
17 90.8% kinh (1000genomes) + 9.2% caribbean-indian (harappa) @ 3.62
18 90.8% kinh (1000genomes) + 9.2% tharu (reich) @ 3.62
19 81.8% kinh (1000genomes) + 18.2% khasi (chaubey) @ 3.62
20 90.7% kinh (1000genomes) + 9.3% sri-lankan (harappa) @ 3.63


5. Also not sure where in the Phils she is from. Fifth highest South Asian I have seen among Pinoys.

Admix Results (sorted):

# Population Percent
1 SE-Asian 60.85
2 NE-Asian 27.53
3 S-Indian 5.17
4 Papuan 2.39
5 Baloch 1.39
6 Beringian 0.92
7 SW-Asian 0.65
8 American 0.43
9 Mediterranean 0.32
10 Pygmy 0.21
11 San 0.1
12 E-African 0.05


Single Population Sharing:

# Population (source) Distance
1 kinh (1000genomes) 7.83
2 dai-chinese (1000genomes) 9.66
3 dai (hgdp) 10.87
4 vietnamese (xing) 11.11
5 lahu (hgdp) 11.69
6 khmer-cambodian (xing) 12.87
7 thai (xing) 17.28
8 cambodian (hgdp) 20.44
9 singapore-malay (sgvp) 23.4
10 iban (xing) 36.15
11 burmanese (chaubey) 36.64
12 khasi (chaubey) 38.74
13 miao (hgdp) 39.23
14 garo (chaubey) 39.69
15 samoan (xing) 40.26
16 singapore-chinese (sgvp) 41.23
17 she (hgdp) 43.53
18 chinese (xing) 43.81
19 tongan (xing) 44.71
20 han-chinese-south (1000genomes) 44.9

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 86.6% dai-chinese (1000genomes) + 13.4% great-andamanese (reich) @ 2.51
2 69.9% kinh (1000genomes) + 30.1% thai (xing) @ 2.67
3 68.3% vietnamese (xing) + 31.7% singapore-malay (sgvp) @ 2.68
4 86.8% dai-chinese (1000genomes) + 13.2% onge (reich) @ 2.87
5 65.4% vietnamese (xing) + 34.6% cambodian (hgdp) @ 2.91
6 53.9% vietnamese (xing) + 46.1% khmer-cambodian (xing) @ 3.03
7 61.4% vietnamese (xing) + 38.6% thai (xing) @ 3.04
8 63.4% kinh (1000genomes) + 36.6% khmer-cambodian (xing) @ 3.06
9 78.8% dai (hgdp) + 21.2% khasi (chaubey) @ 3.17
10 80.9% dai-chinese (1000genomes) + 19.1% khasi (chaubey) @ 3.2
11 88.8% dai-chinese (1000genomes) + 11.2% bengali (harappa) @ 3.21
12 89.6% dai-chinese (1000genomes) + 10.4% sri-lankan (harappa) @ 3.28
13 89.6% dai-chinese (1000genomes) + 10.4% kerala-muslim (harappa) @ 3.29
14 89.6% dai-chinese (1000genomes) + 10.4% tharu (reich) @ 3.29
15 90.2% dai-chinese (1000genomes) + 9.8% tamil-nadar (harappa) @ 3.33
16 64% singapore-malay (sgvp) + 36% singapore-chinese (sgvp) @ 3.33
17 89.7% dai-chinese (1000genomes) + 10.3% caribbean-indian (harappa) @ 3.34
18 90.2% dai-chinese (1000genomes) + 9.8% chenchu (metspalu) @ 3.34
19 89.9% dai-chinese (1000genomes) + 10.1% tamil (harappa) @ 3.4
20 90.5% dai-chinese (1000genomes) + 9.5% bhil (reich) @ 3.4


6. Also don't know which region of the Philippines she is from.

Admix Results (sorted):

# Population Percent
1 SE-Asian 60.26
2 NE-Asian 27.28
3 S-Indian 4.55
4 Papuan 3.06
5 Siberian 1.67
6 Caucasian 1.59
7 Baloch 1.26
8 E-African 0.3
9 San 0.03


Single Population Sharing:

# Population (source) Distance
1 kinh (1000genomes) 8.3
2 dai-chinese (1000genomes) 10.28
3 vietnamese (xing) 11.24
4 lahu (hgdp) 11.38
5 dai (hgdp) 11.46
6 khmer-cambodian (xing) 13.08
7 thai (xing) 17.17
8 cambodian (hgdp) 20.52
9 singapore-malay (sgvp) 23.37
10 burmanese (chaubey) 36.22
11 iban (xing) 36.29
12 khasi (chaubey) 38.45
13 miao (hgdp) 39.1
14 garo (chaubey) 39.34
15 samoan (xing) 39.61
16 singapore-chinese (sgvp) 41.14
17 she (hgdp) 43.44
18 chinese (xing) 43.67
19 tongan (xing) 43.97
20 han-chinese-south (1000genomes) 44.78

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 63.9% singapore-malay (sgvp) + 36.1% singapore-chinese (sgvp) @ 2.74
2 62.7% singapore-malay (sgvp) + 37.3% miao (hgdp) @ 2.75
3 65.1% singapore-malay (sgvp) + 34.9% she (hgdp) @ 2.82
4 67.8% lahu (hgdp) + 32.2% singapore-malay (sgvp) @ 2.84
5 68.1% vietnamese (xing) + 31.9% singapore-malay (sgvp) @ 2.96
6 65.8% singapore-malay (sgvp) + 34.2% han-chinese-south (1000genomes) @ 3.01
7 70.3% iban (xing) + 29.7% japanese (xing) @ 3.02
8 61% vietnamese (xing) + 39% thai (xing) @ 3.09
9 65.3% singapore-malay (sgvp) + 34.7% chinese (xing) @ 3.12
10 66% singapore-malay (sgvp) + 34% han (hgdp) @ 3.14
11 68.9% kinh (1000genomes) + 31.1% thai (xing) @ 3.34
12 65.4% vietnamese (xing) + 34.6% cambodian (hgdp) @ 3.39
13 67.7% singapore-malay (sgvp) + 32.3% chinese-american (hapmap) @ 3.41
14 65.1% lahu (hgdp) + 34.9% cambodian (hgdp) @ 3.43
15 71% iban (xing) + 29% japanese (1000genomes) @ 3.44
16 67.8% singapore-malay (sgvp) + 32.2% tujia (hgdp) @ 3.53
17 62.4% iban (xing) + 37.6% yi (hgdp) @ 3.59
18 86.2% dai-chinese (1000genomes) + 13.8% great-andamanese (reich) @ 3.61
19 64.7% iban (xing) + 35.3% han-nchina (hgdp) @ 3.63
20 54.2% vietnamese (xing) + 45.8% khmer-cambodian (xing) @ 3.63


7. I also don't know where in the Phils he is originally from.

Admix Results (sorted):

# Population Percent
1 SE-Asian 58.38
2 NE-Asian 31.82
3 S-Indian 3.46
4 Papuan 2.73
5 Baloch 1.34
6 Mediterranean 0.76
7 American 0.55
8 Beringian 0.39
9 San 0.25
10 Caucasian 0.19
11 Pygmy 0.09
12 SW-Asian 0.03



Single Population Sharing:

# Population (source) Distance
1 kinh (1000genomes) 5.27
2 vietnamese (xing) 6.71
3 lahu (hgdp) 7.43
4 dai-chinese (1000genomes) 10.96
5 dai (hgdp) 12.98
6 khmer-cambodian (xing) 17.38
7 thai (xing) 21.61
8 cambodian (hgdp) 25.31
9 singapore-malay (sgvp) 28.21
10 burmanese (chaubey) 33.78
11 miao (hgdp) 34.48
12 singapore-chinese (sgvp) 36.49
13 garo (chaubey) 36.82
14 khasi (chaubey) 38.52
15 she (hgdp) 38.79
16 chinese (xing) 39.08
17 han-chinese-south (1000genomes) 40.17
18 han (hgdp) 40.55
19 iban (xing) 40.71
20 samoan (xing) 43.08

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 95.5% kinh (1000genomes) + 4.5% aus (reich) @ 2.49
2 77.5% vietnamese (xing) + 22.5% thai (xing) @ 2.51
3 73.9% vietnamese (xing) + 26.1% khmer-cambodian (xing) @ 2.88
4 96.8% kinh (1000genomes) + 3.2% papuan (hgdp) @ 3
5 95.8% kinh (1000genomes) + 4.2% melanesian (hgdp) @ 3
6 82.4% vietnamese (xing) + 17.6% singapore-malay (sgvp) @ 3.06
7 93.5% kinh (1000genomes) + 6.5% great-andamanese (reich) @ 3.09
8 93.5% kinh (1000genomes) + 6.5% onge (reich) @ 3.1
9 94.6% kinh (1000genomes) + 5.4% up-muslim (harappa) @ 3.14
10 94.7% kinh (1000genomes) + 5.3% gujarati-muslim (harappa) @ 3.14
11 94.7% kinh (1000genomes) + 5.3% punjabi-jatt-muslim (harappa) @ 3.15
12 94.7% kinh (1000genomes) + 5.3% bene-israel-jew (behar) @ 3.16
13 94.8% kinh (1000genomes) + 5.2% cochin-jew (behar) @ 3.16
14 94.8% kinh (1000genomes) + 5.2% bengali-brahmin (harappa) @ 3.18
15 95% kinh (1000genomes) + 5% vaish (reich) @ 3.19
16 67.5% iban (xing) + 32.5% japanese (hapmap) @ 3.2
17 95% kinh (1000genomes) + 5% kerala-christian (harappa) @ 3.2
18 94.9% kinh (1000genomes) + 5.1% bihari-muslim (harappa) @ 3.2
19 95% kinh (1000genomes) + 5% up-brahmin (harappa) @ 3.2
20 95% kinh (1000genomes) + 5% maharashtrian (harappa) @ 3.21


8. Im also not certain about the origin of this Philippine individual.

Admix Results (sorted):

# Population Percent
1 SE-Asian 54.82
2 NE-Asian 35.29
3 S-Indian 3.52
4 Papuan 3.23
5 Caucasian 1.72
6 American 0.71
7 Siberian 0.3
8 SW-Asian 0.19
9 San 0.12
10 Pygmy 0.09

Single Population Sharing:

# Population (source) Distance
1 lahu (hgdp) 4.93
2 vietnamese (xing) 5.41
3 kinh (1000genomes) 7.63
4 dai-chinese (1000genomes) 14.95
5 dai (hgdp) 17.21
6 khmer-cambodian (xing) 21.02
7 thai (xing) 25.06
8 cambodian (hgdp) 29.64
9 miao (hgdp) 29.98
10 burmanese (chaubey) 30.06
11 singapore-chinese (sgvp) 31.99
12 singapore-malay (sgvp) 32.55
13 garo (chaubey) 32.96
14 she (hgdp) 34.29
15 chinese (xing) 34.54
16 han-chinese-south (1000genomes) 35.64
17 han (hgdp) 36.01
18 khasi (chaubey) 36.99
19 chinese-american (hapmap) 39.52
20 tujia (hgdp) 39.67


Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 92.7% vietnamese (xing) + 7.3% onge (reich) @ 2.64
2 92.8% vietnamese (xing) + 7.2% great-andamanese (reich) @ 2.72
3 95.5% vietnamese (xing) + 4.5% aus (reich) @ 2.85
4 50.4% singapore-chinese (sgvp) + 49.6% singapore-malay (sgvp) @ 3.08
5 51.3% singapore-malay (sgvp) + 48.7% she (hgdp) @ 3.15
6 94.4% vietnamese (xing) + 5.6% bene-israel-jew (behar) @ 3.17
7 89.4% vietnamese (xing) + 10.6% khasi (chaubey) @ 3.17
8 52.1% miao (hgdp) + 47.9% singapore-malay (sgvp) @ 3.2
9 94.2% vietnamese (xing) + 5.8% romanian-b (behar) @ 3.24
10 94.8% vietnamese (xing) + 5.2% tharu (reich) @ 3.26
11 95.6% vietnamese (xing) + 4.4% pulliyar (metspalu) @ 3.27
12 95.7% vietnamese (xing) + 4.3% irula (xing) @ 3.28
13 94.6% vietnamese (xing) + 5.4% sahariya (reich) @ 3.3
14 94.9% vietnamese (xing) + 5.1% gond (metspalu) @ 3.3
15 94.7% vietnamese (xing) + 5.3% cochin-jew (behar) @ 3.3
16 95.6% vietnamese (xing) + 4.4% paniya (chaubey) @ 3.3
17 95.1% vietnamese (xing) + 4.9% nihali (metspalu) @ 3.31
18 95.3% vietnamese (xing) + 4.7% kurumba (reich) @ 3.32
19 95.2% vietnamese (xing) + 4.8% chenchu (reich) @ 3.33
20 94.9% vietnamese (xing) + 5.1% satnami (reich) @ 3.34


9. He is originally from Manila so probably ethnic Tagalog.

Admix Results (sorted):

# Population Percent
1 SE-Asian 59.92
2 NE-Asian 28.6
3 S-Indian 3.18
4 Papuan 2.2
5 Baloch 2.03
6 Mediterranean 1.33
7 Siberian 1.1
8 Caucasian 1.08
9 Beringian 0.44
10 SW-Asian 0.12



Single Population Sharing:

# Population (source) Distance
1 kinh (1000genomes) 6.77
2 dai-chinese (1000genomes) 9.65
3 vietnamese (xing) 9.66
4 lahu (hgdp) 10.12
5 dai (hgdp) 11.17
6 khmer-cambodian (xing) 14.83
7 thai (xing) 18.87
8 cambodian (hgdp) 22.1
9 singapore-malay (sgvp) 24.99
10 burmanese (chaubey) 35.9
11 iban (xing) 37.5
12 miao (hgdp) 37.75
13 garo (chaubey) 39.09
14 khasi (chaubey) 39.09
15 singapore-chinese (sgvp) 39.77
16 samoan (xing) 41.11
17 she (hgdp) 42.08
18 chinese (xing) 42.34
19 han-chinese-south (1000genomes) 43.44
20 han (hgdp) 43.81

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 73% vietnamese (xing) + 27% singapore-malay (sgvp) @ 2.93
2 87.9% dai-chinese (1000genomes) + 12.1% nepalese-c (xing) @ 3.16
3 69.3% iban (xing) + 30.7% japanese (xing) @ 3.21
4 67.1% vietnamese (xing) + 32.9% thai (xing) @ 3.23
5 70.6% vietnamese (xing) + 29.4% cambodian (hgdp) @ 3.26
6 70.1% iban (xing) + 29.9% japanese (1000genomes) @ 3.36
7 76% kinh (1000genomes) + 24% thai (xing) @ 3.38
8 86.2% dai (hgdp) + 13.8% nepalese-c (xing) @ 3.47
9 72.3% lahu (hgdp) + 27.7% singapore-malay (sgvp) @ 3.55
10 89.4% dai-chinese (1000genomes) + 10.6% bene-israel-jew (behar) @ 3.61
11 61.6% iban (xing) + 38.4% chinese-beijing (1000genomes) @ 3.63
12 89.3% dai-chinese (1000genomes) + 10.7% up-muslim (harappa) @ 3.72
13 89.4% dai-chinese (1000genomes) + 10.6% gujarati-muslim (harappa) @ 3.75
14 89.4% dai-chinese (1000genomes) + 10.6% kashmiri (harappa) @ 3.81
15 61.8% vietnamese (xing) + 38.2% khmer-cambodian (xing) @ 3.82
16 55.8% iban (xing) + 44.2% chinese-american (hapmap) @ 3.86
17 55.9% iban (xing) + 44.1% tujia (hgdp) @ 3.87
18 89.5% dai-chinese (1000genomes) + 10.5% punjabi-jatt-muslim (harappa) @ 3.87
19 85.9% dai (hgdp) + 14.1% nepalese-b (xing) @ 3.89
20 87.6% dai-chinese (1000genomes) + 12.4% hazara (hgdp) @ 3.9


10. Also not sure where in the Philippines where she is from.

Admix Results (sorted):

# Population Percent
1 SE-Asian 58.16
2 NE-Asian 33.4
3 S-Indian 3.09
4 Siberian 1.5
5 Baloch 1.42
6 Papuan 1.12
7 Mediterranean 0.66
8 American 0.4
9 E-African 0.19
10 Beringian 0.05
11 Pygmy 0.01


Single Population Sharing:

# Population (source) Distance
1 kinh (1000genomes) 4.07
2 vietnamese (xing) 5.08
3 lahu (hgdp) 5.28
4 dai-chinese (1000genomes) 11.07
5 dai (hgdp) 13.32
6 khmer-cambodian (xing) 18.63
7 thai (xing) 22.9
8 cambodian (hgdp) 26.58
9 singapore-malay (sgvp) 29.66
10 miao (hgdp) 33.03
11 burmanese (chaubey) 33.05
12 singapore-chinese (sgvp) 35.05
13 garo (chaubey) 36.06
14 she (hgdp) 37.37
15 chinese (xing) 37.65
16 khasi (chaubey) 38.75
17 han-chinese-south (1000genomes) 38.75
18 han (hgdp) 39.13
19 iban (xing) 41.88
20 chinese-american (hapmap) 42.68

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.5% vietnamese (xing) + 17.5% thai (xing) @ 1.52
2 84.7% dai-chinese (1000genomes) + 15.3% nepalese-b (xing) @ 1.56
3 94.6% kinh (1000genomes) + 5.4% nepalese-c (xing) @ 1.65
4 75.1% dai-chinese (1000genomes) + 24.9% burmanese (chaubey) @ 1.71
5 95.3% kinh (1000genomes) + 4.7% up-muslim (harappa) @ 1.73
6 94.3% kinh (1000genomes) + 5.7% hazara (hgdp) @ 1.74
7 95.4% kinh (1000genomes) + 4.6% nepalese-a (xing) @ 1.76
8 95.4% kinh (1000genomes) + 4.6% gujarati-muslim (harappa) @ 1.78
9 95.4% kinh (1000genomes) + 4.6% kashmiri (harappa) @ 1.79
10 95.3% kinh (1000genomes) + 4.7% burusho (hgdp) @ 1.8
11 95.5% kinh (1000genomes) + 4.5% punjabi-jatt-muslim (harappa) @ 1.8
12 95.5% kinh (1000genomes) + 4.5% punjabi (harappa) @ 1.81
13 95.5% kinh (1000genomes) + 4.5% bihari-muslim (harappa) @ 1.81
14 95.5% kinh (1000genomes) + 4.5% bengali-brahmin (harappa) @ 1.81
15 94.6% kinh (1000genomes) + 5.4% uzbek (behar) @ 1.81
16 95.6% kinh (1000genomes) + 4.4% punjabi-ramgarhia (harappa) @ 1.81
17 95.5% kinh (1000genomes) + 4.5% punjabi-jatt-sikh (harappa) @ 1.82
18 95.5% kinh (1000genomes) + 4.5% kashmiri-pandit (reich) @ 1.83
19 95.6% kinh (1000genomes) + 4.4% kashmiri-pahari (harappa) @ 1.84
20 95.5% kinh (1000genomes) + 4.5% haryana-jatt (harappa) @ 1.84


11. Also don't know her whereabouts in the Philippines.

Admix Results (sorted):

# Population Percent
1 SE-Asian 56.49
2 NE-Asian 32.67
3 S-Indian 2.92
4 Papuan 2.27
5 Baloch 1.72
6 Siberian 1.25
7 American 0.89
8 Pygmy 0.56
9 SW-Asian 0.49
[/B]10 Caucasian 0.35
11 NE-Euro 0.29
12 San 0.11


Single Population Sharing:

# Population (source) Distance
1 lahu (hgdp) 5.71
2 kinh (1000genomes) 6.06
3 vietnamese (xing) 6.09
4 dai-chinese (1000genomes) 12.61
5 dai (hgdp) 14.73
6 khmer-cambodian (xing) 18.64
7 thai (xing) 22.6
8 cambodian (hgdp) 26.85
9 singapore-malay (sgvp) 29.78
10 burmanese (chaubey) 31.94
11 miao (hgdp) 32.73
12 singapore-chinese (sgvp) 34.77
13 garo (chaubey) 35.08
14 she (hgdp) 37.08
15 chinese (xing) 37.32
16 khasi (chaubey) 37.53
17 han-chinese-south (1000genomes) 38.43
18 han (hgdp) 38.79
19 chinese-american (hapmap) 42.3
20 tujia (hgdp) 42.45

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 93.1% kinh (1000genomes) + 6.9% pashtun (harappa) @ 2.91
2 66% iban (xing) + 34% japanese (1000genomes) @ 2.91
3 92.2% kinh (1000genomes) + 7.8% uzbek (behar) @ 2.98
4 91.9% kinh (1000genomes) + 8.1% hazara (hgdp) @ 3
5 80.9% vietnamese (xing) + 19.1% thai (xing) @ 3
6 93.2% kinh (1000genomes) + 6.8% burusho (hgdp) @ 3.02
7 93.4% kinh (1000genomes) + 6.6% kashmiri (harappa) @ 3.03
8 93.5% kinh (1000genomes) + 6.5% punjabi-jatt-muslim (harappa) @ 3.03
9 93.4% kinh (1000genomes) + 6.6% gujarati-muslim (harappa) @ 3.04
10 93.4% kinh (1000genomes) + 6.6% up-muslim (harappa) @ 3.04
11 92.5% kinh (1000genomes) + 7.5% nepalese-c (xing) @ 3.06
12 93% kinh (1000genomes) + 7% tajik (yunusbayev) @ 3.06
13 93.5% kinh (1000genomes) + 6.5% haryana-jatt (harappa) @ 3.06
14 93.5% kinh (1000genomes) + 6.5% sindhi (harappa) @ 3.06
15 93.5% kinh (1000genomes) + 6.5% punjabi-jatt-sikh (harappa) @ 3.06
16 93.6% kinh (1000genomes) + 6.4% punjabi-khatri (harappa) @ 3.09
17 93.6% kinh (1000genomes) + 6.4% punjabi (harappa) @ 3.09
18 91.7% kinh (1000genomes) + 8.3% uyghur (hgdp) @ 3.1
19 52.4% singapore-malay (sgvp) + 47.6% miao (hgdp) @ 3.1
20 93.6% kinh (1000genomes) + 6.4% pathan (hgdp) @ 3.11


12. Don't know about the background of this Pinoy.

Admix Results (sorted):

# Population Percent
1 SE-Asian 56.63
2 NE-Asian 35.72
3 S-Indian 2.96
4 Papuan 2.74
5 NE-Euro 0.68
6 Baloch 0.55
7 Beringian 0.51
8 Caucasian 0.21


Single Population Sharing:

# Population (source) Distance
1 vietnamese (xing) 3.76
2 lahu (hgdp) 4.59
3 kinh (1000genomes) 5.72
4 dai-chinese (1000genomes) 13.26
5 dai (hgdp) 15.62
6 khmer-cambodian (xing) 20.97
7 thai (xing) 25.26
8 cambodian (hgdp) 29.24
9 miao (hgdp) 30.53
10 burmanese (chaubey) 31.65
11 singapore-malay (sgvp) 32.19
12 singapore-chinese (sgvp) 32.52
13 garo (chaubey) 34.53
14 she (hgdp) 34.83
15 chinese (xing) 35.14
16 han-chinese-south (1000genomes) 36.22
17 han (hgdp) 36.61
18 khasi (chaubey) 38.58
19 chinese-american (hapmap) 40.16
20 tujia (hgdp) 40.34

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96.9% vietnamese (xing) + 3.1% aus (reich) @ 2.04
2 95.2% vietnamese (xing) + 4.8% onge (reich) @ 2.09
3 95.3% vietnamese (xing) + 4.7% great-andamanese (reich) @ 2.18
4 97.1% vietnamese (xing) + 2.9% melanesian (hgdp) @ 2.29
5 96.3% vietnamese (xing) + 3.7% sahariya (reich) @ 2.36
6 97.8% vietnamese (xing) + 2.2% papuan (hgdp) @ 2.38
7 95.9% vietnamese (xing) + 4.1% juang (chaubey) @ 2.39
8 96.2% vietnamese (xing) + 3.8% kharia (chaubey) @ 2.4
9 96.6% vietnamese (xing) + 3.4% gond (metspalu) @ 2.4
10 96% vietnamese (xing) + 4% bonda (chaubey) @ 2.41
11 96.4% vietnamese (xing) + 3.6% ho (chaubey) @ 2.42
12 96.7% vietnamese (xing) + 3.3% nihali (metspalu) @ 2.42
13 96.3% vietnamese (xing) + 3.7% savara (chaubey) @ 2.42
14 96.6% vietnamese (xing) + 3.4% tharu (reich) @ 2.43
15 96.6% vietnamese (xing) + 3.4% asur (chaubey) @ 2.44
16 96.6% vietnamese (xing) + 3.4% santhal (reich) @ 2.44
17 96.6% vietnamese (xing) + 3.4% satnami (reich) @ 2.44
18 96.9% vietnamese (xing) + 3.1% bhil (reich) @ 2.47
19 96.9% vietnamese (xing) + 3.1% kurumba (reich) @ 2.48
20 96.3% vietnamese (xing) + 3.7% bengali (harappa) @ 2.48


13. This individual is originally from Morong in Rizal which is in Luzon. Not sure about the ethnicity but he is probably Tagalog.

Admix Results (sorted):

# Population Percent
1 SE-Asian 57.83
2 NE-Asian 28.95
3 Papuan 3.4
4 Baloch 2.82
[B]5 S-Indian 2.78
6 NE-Euro 1.33
7 Mediterranean 0.99
8 E-African 0.81
9 SW-Asian 0.73
10 Pygmy 0.34


Single Population Sharing:

# Population (source) Distance
1 kinh (1000genomes) 7.98
2 vietnamese (xing) 9.65
3 lahu (hgdp) 9.98
4 dai-chinese (1000genomes) 11.84
5 dai (hgdp) 13.42
6 khmer-cambodian (xing) 16.1
7 thai (xing) 19.78
8 cambodian (hgdp) 23.76
9 singapore-malay (sgvp) 26.46
10 burmanese (chaubey) 34.46
11 miao (hgdp) 36.52
12 garo (chaubey) 37.77
13 khasi (chaubey) 38
14 singapore-chinese (sgvp) 38.53
15 iban (xing) 39.31
16 she (hgdp) 40.82
17 samoan (xing) 40.89
18 chinese (xing) 41.07
19 han-chinese-south (1000genomes) 42.16
20 han (hgdp) 42.52

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 85.6% dai-chinese (1000genomes) + 14.4% nepalese-c (xing) @ 4.63
2 69.4% vietnamese (xing) + 30.6% thai (xing) @ 4.64
3 59.5% singapore-malay (sgvp) + 40.5% singapore-chinese (sgvp) @ 4.8
4 58.2% singapore-malay (sgvp) + 41.8% miao (hgdp) @ 4.85
5 60.9% singapore-malay (sgvp) + 39.1% she (hgdp) @ 4.85
6 93.9% kinh (1000genomes) + 6.1% aus (reich) @ 4.88
7 92.2% kinh (1000genomes) + 7.8% haryana-jatt (harappa) @ 4.95
8 61.7% singapore-malay (sgvp) + 38.3% han-chinese-south (1000genomes) @ 4.98
9 92.3% kinh (1000genomes) + 7.7% punjabi-jatt-sikh (harappa) @ 5.01
10 92.3% kinh (1000genomes) + 7.7% punjabi-jatt-muslim (harappa) @ 5.05
11 92% kinh (1000genomes) + 8% pashtun (harappa) @ 5.06
12 61.9% singapore-malay (sgvp) + 38.1% han (hgdp) @ 5.08
13 61.1% singapore-malay (sgvp) + 38.9% chinese (xing) @ 5.1
14 92.4% kinh (1000genomes) + 7.6% pathan (hgdp) @ 5.1
15 83.9% dai (hgdp) + 16.1% nepalese-c (xing) @ 5.11
16 92.5% kinh (1000genomes) + 7.5% punjabi-khatri (harappa) @ 5.11
17 92.5% kinh (1000genomes) + 7.5% sindhi (harappa) @ 5.13
18 92.6% kinh (1000genomes) + 7.4% punjabi-arain (xing) @ 5.13
19 92.6% kinh (1000genomes) + 7.4% kalash (hgdp) @ 5.14
20 92.6% kinh (1000genomes) + 7.4% bhatia (harappa) @ 5.14


14. Not sure where in the Philippines he is originally from.

Admix Results (sorted):

# Population Percent
1 SE-Asian 57.31
2 NE-Asian 30.36
3 Papuan 4.23
4 S-Indian 2.36
5 Baloch 1.18
6 Caucasian 1.17
7 Beringian 0.95
8 American 0.84
9 SW-Asian 0.61
10 Siberian 0.48
11 NE-Euro 0.34
12 Pygmy 0.1
13 San 0.07


Single Population Sharing:

# Population (source) Distance
1 kinh (1000genomes) 7.52
2 vietnamese (xing) 8.44
3 lahu (hgdp) 8.72
4 dai-chinese (1000genomes) 12.24
5 dai (hgdp) 14.01
6 khmer-cambodian (xing) 17.34
7 thai (xing) 21.16
8 cambodian (hgdp) 25.08
9 singapore-malay (sgvp) 27.74
10 burmanese (chaubey) 33.75
11 miao (hgdp) 35.15
12 garo (chaubey) 36.93
13 singapore-chinese (sgvp) 37.19
14 khasi (chaubey) 38.17
15 she (hgdp) 39.48
16 chinese (xing) 39.72
17 iban (xing) 40.52
18 han-chinese-south (1000genomes) 40.82
19 han (hgdp) 41.18
20 samoan (xing) 41.2

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 93.4% kinh (1000genomes) + 6.6% aus (reich) @ 2.96
2 83.6% lahu (hgdp) + 16.4% samoan (xing) @ 3.4
3 93.5% kinh (1000genomes) + 6.5% melanesian (hgdp) @ 3.43
4 95% kinh (1000genomes) + 5% papuan (hgdp) @ 3.52
5 84.5% vietnamese (xing) + 15.5% samoan (xing) @ 3.78
6 85.1% lahu (hgdp) + 14.9% tongan (xing) @ 3.79
7 85.6% vietnamese (xing) + 14.4% tongan (xing) @ 3.84
8 56% singapore-malay (sgvp) + 44% miao (hgdp) @ 4.6
9 57.4% singapore-malay (sgvp) + 42.6% singapore-chinese (sgvp) @ 4.6
10 74.6% vietnamese (xing) + 25.4% thai (xing) @ 4.64
11 58.9% singapore-malay (sgvp) + 41.1% she (hgdp) @ 4.66
12 66.9% iban (xing) + 33.1% japanese (xing) @ 4.71
13 59.7% singapore-malay (sgvp) + 40.3% han-chinese-south (1000genomes) @ 4.78
14 67.8% iban (xing) + 32.2% japanese (1000genomes) @ 4.83
15 60% singapore-malay (sgvp) + 40% han (hgdp) @ 4.88
16 59.1% singapore-malay (sgvp) + 40.9% chinese (xing) @ 4.91
17 88.8% kinh (1000genomes) + 11.2% tongan (xing) @ 4.97
18 80.2% vietnamese (xing) + 19.8% singapore-malay (sgvp) @ 5.06
19 61.9% singapore-malay (sgvp) + 38.1% chinese-american (hapmap) @ 5.08
20 58.6% iban (xing) + 41.4% chinese-beijing (1000genomes) @ 5.12


15. Also don't know her origin or whereabouts in the Phils.

Admix Results (sorted):

# Population Percent
1 SE-Asian 60.47
2 NE-Asian 29.8
3 Papuan 3.24
4 S-Indian 2.37
5 Beringian 0.96
6 SW-Asian 0.93
7 Baloch 0.74
8 Caucasian 0.73
9 American 0.52
10 San 0.13
11 Siberian 0.1


Single Population Sharing:

# Population (source) Distance
1 kinh (1000genomes) 5.93
2 vietnamese (xing) 8.68
3 dai-chinese (1000genomes) 9.05
4 lahu (hgdp) 9.87
5 dai (hgdp) 10.74
6 khmer-cambodian (xing) 16.14
7 thai (xing) 20.41
8 cambodian (hgdp) 23.16
9 singapore-malay (sgvp) 25.93
10 burmanese (chaubey) 36.47
11 miao (hgdp) 37.16
12 iban (xing) 38.03
13 singapore-chinese (sgvp) 39.17
14 garo (chaubey) 39.53
15 khasi (chaubey) 40.32
16 samoan (xing) 40.85
17 she (hgdp) 41.48
18 chinese (xing) 41.78
19 han-chinese-south (1000genomes) 42.86
20 han (hgdp) 43.25

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 89.4% kinh (1000genomes) + 10.6% tongan (xing) @ 2.57
2 88.5% kinh (1000genomes) + 11.5% samoan (xing) @ 2.69
3 75.8% vietnamese (xing) + 24.2% singapore-malay (sgvp) @ 2.74
4 74.1% vietnamese (xing) + 25.9% cambodian (hgdp) @ 3.3
5 69.7% iban (xing) + 30.3% japanese (1000genomes) @ 3.61
6 95.5% kinh (1000genomes) + 4.5% melanesian (hgdp) @ 3.62
7 83.8% vietnamese (xing) + 16.2% samoan (xing) @ 3.64
8 95.6% kinh (1000genomes) + 4.4% aus (reich) @ 3.76
9 55.2% iban (xing) + 44.8% chinese-american (hapmap) @ 3.77
10 53% iban (xing) + 47% han-chinese-south (1000genomes) @ 3.84
11 53.2% iban (xing) + 46.8% han (hgdp) @ 3.85
12 55.3% iban (xing) + 44.7% tujia (hgdp) @ 3.86
13 52.4% iban (xing) + 47.6% chinese (xing) @ 3.88
14 52.2% iban (xing) + 47.8% she (hgdp) @ 3.91
15 50.7% iban (xing) + 49.3% singapore-chinese (sgvp) @ 3.91
16 96.7% kinh (1000genomes) + 3.3% papuan (hgdp) @ 3.93
17 50.6% miao (hgdp) + 49.4% iban (xing) @ 3.93
18 82% kinh (1000genomes) + 18% thai (xing) @ 3.96
19 72.3% vietnamese (xing) + 27.7% thai (xing) @ 4.04
20 83.2% vietnamese (xing) + 16.8% iban (xing) @ 4.09


There are probably some more Pino results that show signals of Indian admixture. I will post them later if I have time. Thoughts?

Tsakhur
11-27-2020, 11:02 AM
Btw here is the Vizayan individual (unfortunately there is only Vizayan sample in the G25 dataset) that I briefly mentioned. Isn't it peculiar that the individual scores more Steppe than Spanish along with the AASI? Some type of North Indian-like admixture because the Steppe is higher than the Iran_N?

Target: Vizayan:GS000019970
Distance: 1.5678% / 0.01567765
75.4 Igorot
10.4 MYS_LN
4.8 S_AASI_Sim(Hakkipikki)
3.8 Papuan
2.4 Yamnaya_RUS_Samara
1.4 Han_Zhejiang
1.2 Spanish_Extremadura
0.6 TKM_Gonur1_BA

Compare to the Luzon individual (unfortunately also only one sample on G25) who have AASI but no Iran_N or Steppe, only very negligible Spanish signal.

Target: Luzon
Distance: 1.0948% / 0.01094789
49.0 TWN_Hanben
41.8 Igorot
4.8 MYS_LN
3.2 AASI_related_Sim
0.8 Papuan
0.4 Spanish_Extremadura


Or the Igorot tribe from Luzon who are basically pure Austronesian.

Target: Igorot
Distance: 3.1485% / 0.03148490
100.0 TWN_Hanben

I use three simulated AASI samples btw: the ones by Matt and Traject and another one by DMXX which he used the Hakkipikki to simulate them.

discreetmaverick
11-27-2020, 03:16 PM
Btw here is the Vizayan individual (unfortunately there is only Vizayan sample in the G25 dataset) that I briefly mentioned. Isn't it peculiar that the individual scores more Steppe than Spanish along with the AASI? Some type of North Indian-like admixture because the Steppe is higher than the Iran_N?

Target: Vizayan:GS000019970
Distance: 1.5678% / 0.01567765
75.4 Igorot
10.4 MYS_LN
4.8 S_AASI_Sim(Hakkipikki)
3.8 Papuan
2.4 Yamnaya_RUS_Samara
1.4 Han_Zhejiang
1.2 Spanish_Extremadura
0.6 TKM_Gonur1_BA

Compare to the Luzon individual (unfortunately also only one sample on G25) who have AASI but no Iran_N or Steppe, only very negligible Spanish signal.

Target: Luzon
Distance: 1.0948% / 0.01094789
49.0 TWN_Hanben
41.8 Igorot
4.8 MYS_LN
3.2 AASI_related_Sim
0.8 Papuan
0.4 Spanish_Extremadura


Or the Igorot tribe from Luzon who are basically pure Austronesian.

Target: Igorot
Distance: 3.1485% / 0.03148490
100.0 TWN_Hanben

I use three simulated AASI samples btw: the ones by Matt and Traject and another one by DMXX which he used the Hakkipikki to simulate them.

I think maybe Iran_N is present in hakkapikki

Here you can find SC/ST groups run modeled with various historical samples, hakkipakki scores much higher BA2 than Kerala tribals, either hakkipikki scores like this or this hakkipakki is an outlier.

https://anthrogenica.com/showthread.php?19357-South-Asian-Tribals&p=636241&viewfull=1#post636241

Tsakhur
11-27-2020, 04:23 PM
I think maybe Iran_N is present in hakkapikki

Here you can find SC/ST groups run modeled with various historical samples, hakkipakki scores much higher BA2 than Kerala tribals, either hakkipikki scores like this or this hakkipakki is an outlier.

https://anthrogenica.com/showthread.php?19357-South-Asian-Tribals&p=636241&viewfull=1#post636241

Yes but the AASI simulated by DMXX based on the Hakkipikki is supposed to not have any Iran N or other West Eurasian admixture: https://anthrogenica.com/showthread.php?17794-New-Simulated-AASI-G25-Coordinates-(-Updates)&p=582135&viewfull=1#post582135

But maybe there is something ANE-derived which start to confused me because I heard ANE is an Early West Eurasian component with significant ENA affinities.

agent_lime
11-29-2020, 04:07 PM
Yes but the AASI simulated by DMXX based on the Hakkipikki is supposed to not have any Iran N or other West Eurasian admixture: https://anthrogenica.com/showthread.php?17794-New-Simulated-AASI-G25-Coordinates-(-Updates)&p=582135&viewfull=1#post582135

But maybe there is something ANE-derived which start to confused me because I heard ANE is an Early West Eurasian component with significant ENA affinities.

There seems to be ANE injection into South Asia perhaps in the late Mesolithic. The DMXX models are good but they can still catch MA1 like affinity because AASI probably did have a bit of it. That AASI does move east(along with LAO_Hoabinhian), so East Asians that had exchange with India can have some admixture.
Hakkipikki has significant Iran_N.
Target: Hakkipikki
Distance: 1.4036% / 0.01403579
45.8 S_AASI
27.6 IRN_Ganj_Dareh_N
13.0 AASI_NW
7.6 RUS_Sintashta_MLBA
4.2 RUS_West_Siberia_N
1.0 Anatolia_Barcin_N
0.4 MAR_Iberomaurusian
0.2 BedouinB
0.2 Dinka

Even the Andamanese show a bit of West Eurasian affinity.

Target: IND_Great_Andamanese_100BP
Distance: 4.4459% / 0.04445884
68.6 CHN_Tianyuan
24.8 S_AASI
3.0 IRN_Ganj_Dareh_N
2.8 RUS_MA1
0.6 BedouinB
0.2 Dinka

davit
11-29-2020, 06:25 PM
There seems to be ANE injection into South Asia perhaps in the late Mesolithic. The DMXX models are good but they can still catch MA1 like affinity because AASI probably did have a bit of it. That AASI does move east(along with LAO_Hoabinhian), so East Asians that had exchange with India can have some admixture.
Hakkipikki has significant Iran_N.
Target: Hakkipikki
Distance: 1.4036% / 0.01403579
45.8 S_AASI
27.6 IRN_Ganj_Dareh_N
13.0 AASI_NW
7.6 RUS_Sintashta_MLBA
4.2 RUS_West_Siberia_N
1.0 Anatolia_Barcin_N
0.4 MAR_Iberomaurusian
0.2 BedouinB
0.2 Dinka

Even the Andamanese show a bit of West Eurasian affinity.

Target: IND_Great_Andamanese_100BP
Distance: 4.4459% / 0.04445884
68.6 CHN_Tianyuan
24.8 S_AASI
3.0 IRN_Ganj_Dareh_N
2.8 RUS_MA1
0.6 BedouinB
0.2 Dinka

What haplogorup would you associate with ANE injection? Wouldn't it be Iran_N mediated rather than directly from MA1 type peoples?

agent_lime
11-30-2020, 06:04 AM
What haplogorup would you associate with ANE injection? Wouldn't it be Iran_N mediated rather than directly from MA1 type peoples?

There is no way to prove this but ANE is probably pre Iran_N ( or Indian Mesolithic Iran_N like). Since almost everyone shows ANE signal in South Asia ( even the tribals). Even if it came at the same time we don't have enough Malta boys. I just don't think without more samples there is a good answer. Add to that it's too long ago, so we won't find it in modern populations.

thejkhan
11-30-2020, 06:53 AM
There is no way to prove this but ANE is probably pre Iran_N ( or Indian Mesolithic Iran_N like). Since almost everyone shows ANE signal in South Asia ( even the tribals). Even if it came at the same time we don't have enough Malta boys. I just don't think without more samples there is a good answer. Add to that it's too long ago, so we won't find it in modern populations.

It's probably mediated by some Iran_N like group with higher ANE. Occam's razor. We just don't have the right aDNA to account for the excess ANE.

Coldmountains
11-30-2020, 08:21 AM
It's probably mediated by some Iran_N like group with higher ANE. Occam's razor. We just don't have the right aDNA to account for the excess ANE.

Based on P* in Andaman and P1 in Philippines i would not be surprised if some Para/Proto-ANE wave, later mostly replaced by subsequent migrations, was one of the earliest groups in South Asia (maybe even originating there? ) and create some of the affinity to ANE. But yeah i also think most ANE arrived with Iran_N or related admixture which seemingly effected also HGs.

davit
11-30-2020, 10:58 AM
Based on P* in Andaman and P1 in Philippines i would not be surprised if some Para/Proto-ANE wave, later mostly replaced by subsequent migrations, was one of the earliest groups in South Asia (maybe even originating there? ) and create some of the affinity to ANE. But yeah i also think most ANE arrived with Iran_N or related admixture which seemingly effected also HGs.

So a Para/Proto ANE wave from NE Eurasia to India brought P which then migrated to SE Asia in this scenario?

davit
11-30-2020, 02:14 PM
There is no way to prove this but ANE is probably pre Iran_N ( or Indian Mesolithic Iran_N like). Since almost everyone shows ANE signal in South Asia ( even the tribals). Even if it came at the same time we don't have enough Malta boys. I just don't think without more samples there is a good answer. Add to that it's too long ago, so we won't find it in modern populations.

So there are possibly six waves of predominantly West Eurasian populations to the subcontient.

- An Anatolian/Levantine wave associated with y H and mt R/U2ab
- An ANE wave associated with R2/LT?
- A possibly Mesolithic wave from Iran associated with R2/LT?
- A smaller Neolithic wave from Iran - G2/J2?
- Indo-Iranians - R1a
- later Iranic steppe nomads - R1a

Kulin
12-03-2020, 01:01 AM
The results are not surprising to be honest. Fillipino ethnic groups generally have the lowest South Asian ancestry out of the Indianzed South-east Asian regions. Having said that, I think a small part of the (W eurasian) ancestry in some fillipinos is Spanish related, though I don't think most have detectable levels of it.

Dewsloth
12-03-2020, 01:53 AM
My father-in-law, from Manila Metro, his family has a strong (but not recent) European (maybe Catalan?) pull, and maybe some South Asian:

Distance: 0.5212% / 0.00521173
Target: FIL
28.6 Luzon
18.3 Han_Chongqing
14.5 Hawaiian
13.4 Igorot
6.8 Italian_Liguria
4.4 Spanish_Soria
3.3 Berber_MAR_TIZ
2.7 Greek_Peloponnese
2.7 Khonda_Dora
1.4 Htin_Mal [Malaysian/Burmese?]
1.1 Biaka
1.1 Bosnian
1.0 BedouinB
0.3 Colla
0.3 Sardinian
0.1 Mbuti

Tsakhur
12-03-2020, 02:01 AM
The results are not surprising to be honest. Fillipino ethnic groups generally have the lowest South Asian ancestry out of the Indianzed South-east Asian regions. Having said that, I think a small part of the (W eurasian) ancestry in some fillipinos is Spanish related, though I don't think most have detectable levels of it.

Do you think it is because of the geographical distance from the subcontinent or do you think it is because of the Spaniards who could have annhilated and wiped out any potential precolonial Indian settlements in the archipelago? Because I have read that there are evidence of several Indianized Hindu-Buddhist kingdoms in the Philippines and I think for such cultural transfusion, there must have been some Indian traders and settlers as well.

How much West Eurasian ancestry do you think the average Filipino have? Around 1-5%?

Would you say that Filipinos have one of the lowest West Eurasian ancestry in SE Asia? Like they seem to have much less than Burmese, Thais, Malays, Cambodians, a lot of Western Indonesians, but have more West Eurasian than most Laotians, Vietnamese, Eastern Indonesians/Timorese, remote tribal groups and ethnic minorities in the mainland and maritime regions of SE Asia who almost virtually none.

Finally, do you think the first two Filipina results who have 11-13% S Indian, have recent Indian ancestry or do you think its from the precolonial times? Because all the other results, seem to have only 6.5% and much less South Asian (S Indian) on Harappa.

Tsakhur
12-03-2020, 02:06 AM
My father-in-law, from Manila Metro, his family has a strong (but not recent) European (maybe Catalan?) pull, and maybe some South Asian:

Distance: 0.5212% / 0.00521173
Target: FIL
28.6 Luzon
18.3 Han_Chongqing
14.5 Hawaiian
13.4 Igorot
6.8 Italian_Liguria
4.4 Spanish_Soria
3.3 Berber_MAR_TIZ
2.7 Greek_Peloponnese
2.7 Khonda_Dora
1.4 Htin_Mal [Malaysian/Burmese?]
1.1 Biaka
1.1 Bosnian
1.0 BedouinB
0.3 Colla
0.3 Sardinian
0.1 Mbuti

His European is not recent? Interesting because most Pinoys have much much less West Eurasian than him. The South Asian could be genuine or something AASI related.

So he is around 15.3% European, 4.3% MENA, 18.3% Chinese and even 1% African? Wow

Dewsloth
12-03-2020, 02:11 AM
His European is not recent? Interesting because most Pinoys have much much less West Eurasian than him. The South Asian could be genuine or something AASI related.

So he is around 15.3% European, 4.3% MENA, 18.3% Chinese and even 1% African? Wow

It gets stranger: At FTDNA, his top 3 occurring surname matches are Kaplan, Rosen and Cohen :lol: I think he's got some conversos in his ancestry. His mother's surname is Catalan, but nobody seems to know of any specific European/Med. ancestors. :confused:

Tsakhur
12-03-2020, 02:27 AM
It gets stranger: At FTDNA, his top 3 occurring surname matches are Kaplan, Rosen and Cohen :lol: I think he's got some conversos in his ancestry. His mother's surname is Catalan, but nobody seems to know of any specific European/Med. ancestors. :confused:

I wonder what percentage of the Philippines have his amount of West Eurasian ancestry which is around 15%? Most Filos have only 1-5% West Eurasian (primarily of Iberian admixture) from what I observed in their Gedmatch results, those who are 10% West Eurasian seems to be a minority, and those who are like more than 10% and up to 15% or more seems very atypical or even rare.

Fascinating. Before he decided to take the DNA tests, does he and his family already know or suspect they have European or Med ancestors or do they think they are just pure Filipinos?

Btw I know this forum doesn't really allow phenotypic discussion, but does he look European admixed, or does he look like a typical Filipino (Asian looking)?

Kulin
12-03-2020, 04:15 AM
Do you think it is because of the geographical distance from the subcontinent or do you think it is because of the Spaniards who could have annhilated and wiped out any potential precolonial Indian settlements in the archipelago? Because I have read that there are evidence of several Indianized Hindu-Buddhist kingdoms in the Philippines and I think for such cultural transfusion, there must have been some Indian traders and settlers as well.

How much West Eurasian ancestry do you think the average Filipino have? Around 1-5%?

Would you say that Filipinos have one of the lowest West Eurasian ancestry in SE Asia? Like they seem to have much less than Burmese, Thais, Malays, Cambodians, a lot of Western Indonesians, but have more West Eurasian than most Laotians, Vietnamese, Eastern Indonesians/Timorese, remote tribal groups and ethnic minorities in the mainland and maritime regions of SE Asia who almost virtually none.

Finally, do you think the first two Filipina results who have 11-13% S Indian, have recent Indian ancestry or do you think its from the precolonial times? Because all the other results, seem to have only 6.5% and much less South Asian (S Indian) on Harappa.

I think its geographic distance. Also the fact that the Philippines archipelago wasn't as deeply influenced as the rest of SEA. Yeah I think that range is probably correct and it one of the lowest after vietnamese or very tribal populations. Those samples probably have pre colonial, maybe just genetic variance.

Tsakhur
12-03-2020, 05:14 AM
I think its geographic distance. Also the fact that the Philippines archipelago wasn't as deeply influenced as the rest of SEA. Yeah I think that range is probably correct and it one of the lowest after vietnamese or very tribal populations. Those samples probably have pre colonial, maybe just genetic variance.

Agreed. It's pretty hilarious how a lot of Filipinos expected that they would have high West Eurasian due to Spaniard ancestors and then get really disappointed when it turned out to that they have like less than 5% or even close to zero in some cases. Most Pinoy gedmatch results seem to have around 1-5% West Eurasian range. More than 5% existed but as not common, also Filos who are 10% West Eurasian or more seem to be a minority, and those up to 15 to 20% Iberian seem to be very atypical or even rare.

But all of the 15 individuals do seem to have actual Indian ancestry just by looking at the fact that they also score minor Baloch? Or Baloch component is not enough to indicate that they have actual Indian gene flow?

I see. Yeah it could be precolonial or genetic variance. Btw, the first Filipina individual seem to be originally from Zamboanga which is in Mindanao, in Southern Philippines, closer to Indonesia and Malaysia, so maybe higher South Asian admixture there compared to the rest of the archipelago. Not sure about the second Filipina. Also I heard that there were recent Sepoy settlers in Cainta which is in Luzon in the 18th century and intermarried with locals along with recent Indian (mainly Punjabi) businessmen but Im not sure if it is too recent, for their genes to be absorbed into the general genetic pool of Pinoys.

Off topic but who do you think has more South Asian admixture in the region: Rakhine or Acehnese?

Dewsloth
12-03-2020, 05:58 AM
I wonder what percentage of the Philippines have his amount of West Eurasian ancestry which is around 15%? Most Filos have only 1-5% West Eurasian (primarily of Iberian admixture) from what I observed in their Gedmatch results, those who are 10% West Eurasian seems to be a minority, and those who are like more than 10% and up to 15% or more seems very atypical or even rare.

Fascinating. Before he decided to take the DNA tests, does he and his family already know or suspect they have European or Med ancestors or do they think they are just pure Filipinos?

Btw I know this forum doesn't really allow phenotypic discussion, but does he look European admixed, or does he look like a typical Filipino (Asian looking)?

Pretty typical, maybe like a thinner, older Toshiro Mifune (with mustache/goatee) :lol:
Since his family is from the Metro Manila area, I think the odds of foreign contact over the centuries are both a lot higher and harder to nail down.
The Manila galleons alone sailed to/from there for 250 years.

Tsakhur
12-03-2020, 06:26 AM
Pretty typical, maybe like a thinner, older Toshiro Mifune (with mustache/goatee) :lol:
Since his family is from the Metro Manila area, I think the odds of foreign contact over the centuries are both a lot higher and harder to nail down.
The Manila galleons alone sailed to/from there for 250 years.

I see. So if one would look at him, he/she wouldn't think he doesn't have West Eurasian ancestry? Does the rest of his family show European or Mediterranean features in their phenotypes or do they also look pretty typical Pinoy?

Interesting. Does his other Philippine DNA matches also have a lot of European?

Kulin
12-03-2020, 01:06 PM
Agreed. It's pretty hilarious how a lot of Filipinos expected that they would have high West Eurasian due to Spaniard ancestors and then get really disappointed when it turned out to that they have like less than 5% or even close to zero in some cases. Most Pinoy gedmatch results seem to have around 1-5% West Eurasian range. More than 5% existed but as not common, also Filos who are 10% West Eurasian or more seem to be a minority, and those up to 15 to 20% Iberian seem to be very atypical or even rare.

But all of the 15 individuals do seem to have actual Indian ancestry just by looking at the fact that they also score minor Baloch? Or Baloch component is not enough to indicate that they have actual Indian gene flow?

I see. Yeah it could be precolonial or genetic variance. Btw, the first Filipina individual seem to be originally from Zamboanga which is in Mindanao, in Southern Philippines, closer to Indonesia and Malaysia, so maybe higher South Asian admixture there compared to the rest of the archipelago. Not sure about the second Filipina. Also I heard that there were recent Sepoy settlers in Cainta which is in Luzon in the 18th century and intermarried with locals along with recent Indian (mainly Punjabi) businessmen but Im not sure if it is too recent, for their genes to be absorbed into the general genetic pool of Pinoys.

Off topic but who do you think has more South Asian admixture in the region: Rakhine or Acehnese?

I think I would trust the g25 results more so than the admixture calculator ones. Certain noise amounts can be scored by most populations, but it does suggest some sort of ancestry in this case. They all seem to have Indian ancestry, but it isn't fully quantifiable with admixture calculators. The average Rakhine and Achehnese probably have around quite similar W eurasian, but I would think that some communities of the former have more. Also, Rakhines are patrilineally Tibeto-Burman-like but 2/3rds of their mtdna are of Indian/W Eurasian origin (i.e. common South Asian varieties of M and things like T2). They had a practice of pirate raiding in Bengal, and the word 'mog' (from Magadhi) in Bengali means Arakanese but also has a connotation of pirate. Even the daughters of the Mughal prince, Shah Shuja were also enslaved and taken as queens by the Kings there while on refuge.

Tsakhur
12-03-2020, 02:18 PM
I think I would trust the g25 results more so than the admixture calculator ones. Certain noise amounts can be scored by most populations, but it does suggest some sort of ancestry in this case. They all seem to have Indian ancestry, but it isn't fully quantifiable with admixture calculators. The average Rakhine and Achehnese probably have around quite similar W eurasian, but I would think that some communities of the former have more. Also, Rakhines are patrilineally Tibeto-Burman-like but 2/3rds of their mtdna are of Indian/W Eurasian origin (i.e. common South Asian varieties of M and things like T2). They had a practice of pirate raiding in Bengal, and the word 'mog' (from Magadhi) in Bengali means Arakanese but also has a connotation of pirate. Even the daughters of the Mughal prince, Shah Shuja were also enslaved and taken as queens by the Kings there while on refuge.

Agreed. I also think that G25 would be more reliable than those of Gedmatch or other Admix calcs. Why do you think it's not fully quantifiable? Is it because some of the South Asian in them might actually be something Negrito or local AASI-like rather than actual Indian ancestry?

I would presumed that the Moros (Muslims) of Mindanao and other islands in the Southern part of the Philippine archipelago which is much closer to Indonesia and Malaysia would have higher Indian ancestry and maybe even Arab admixture than the majority of Philippines who are mostly Christian. But I am not sure if my hypothesis is true as I haven't seen any DNA study on the Muslim Pinos and the two Moro gedmatch results that I seen, score almost like the average Pinoy, with very low South Asian and very negligible to almost zero West Eurasian admixture. But its only two results, so I won't jump to a conclusion yet.

Very interesting. Thanks for the explaining and educating me on this. Is it possible that the Rakhine can be around 30-40% South Asian which is roughly 15-20% West Eurasian on average? It seems they and the Acehnese are one of the most West Eurasian admixed ethnic groups in SE Asia. Yes, it make sense that some communities of the Rakhine would possess more due to their prolong historical connections with Bengal. If the Rakhine and Acehnese can have approximately 15-20% West Eurasian, that would make them as Western admixed as the Maasai and other Cushitic admixed populations from East Africa. Btw do you think this Burmese individual is an ethnic Rakhine? I can easily modelled her as 40% South Asian in Dodecad K12b using Vahaduo and she is almost 20% West Eurasian in PuntDNAL K13 and other cals when I modelled her using Vahaduo?: https://anthrogenica.com/showthread.php?15471-South-Asian-HarappaWorld-results&p=724556&viewfull=1#post724556

This is something that I observed about Indonesia based on the Gedmatch kits of users from there. It seems like Sumatra and its ethnic groups like the Acehnese, Minangkabau, Batak (I don't think I have seen a Batak gedmatch kit but I have seen their pop averages on MDLP K23b, and they seem to score like Malays and Cambodians in their South Asian score), Lampung, etc. likely has the most West Eurasian ancestry among the islands in the archipelago followed by Jakarta, possibly Western areas (ethnic Sundanese-dominated regions) of the Java island and then Bali. Sulawesi (I think I have seen only four gedmatch kits from there based on their names and South Asian score), Borneo and Eastern Indonesia like Sumba, Flores, Timor, Maluku seems to have very minor to negligible West Eurasian admixture by comparison. For some really strange reason, a lot of Indonesian gedmatch kits from Java especially ethnic Javanese (I know they are Javanese because of their given and lastnames) who are from Central and Eastern Java, despite scoring decent amount of South Asian components in many calculators, have very negligible amounts of West Eurasian ancestry and when they have West Eurasian, it tends to be something European (likely Dutch) or even West Asian-related rather than Indian-mediated Western ancestry which really perplexed me. Its the same case in G25 as well, for some reasons the Indonesian_Java samples have only 1-2.4% West Eurasian ancestry which is less than the Indonesian_Bali/Balinese samples who are around 3-5% West Eurasian. On the contrary, I have seen some Javanese gedmatch kits who have a decent amount of West Eurasian (5% or more) ancestry as well, but those who scores negligible West Eurasian (like 1-3%) for some strange factor, seems to be much more prevalent.

I thought that scoring a lot of South Asian component would also guarantee a nice amount of Iran_N and minor Steppe, but that seems not to be the case for many Indonesians. Could it be that the high "South Asian" that a lot of Indonesians from Java are scoring is something Onge, Negrito or local AASI-like ancestry rather than actual Indian gene flow?

Do you know what could be the plausible factors behind this? I would have expected that the Javanese would be more West Eurasian like the Khmers and other SE Asians, considering how much Indianized they are culturally during pre-islamic times to even today (looking at their first and lastnames for example). Is it possible that Indian traders or settlers only settled mainly in urban and coastal areas but not in the more remote or rural areas of Java hence very little gene flow in a lot of Javanese results (both Gedmatch and G25 samples)? I can post you some Javanese results to demonstrate what I have observed. Could it be that, due to Bali being much smaller, it is easier for Indians historically
to settle down and intermarried with the locals, thus introducing their ancestry into the local Balinese gene pool than in Java.

Btw I have a lot of SE Asian gedmatch kits and I really wanted to email and ask them to try out G25, but the thing is I'm too shy to do it since I haven't done any DNA test yet so I might not even be their relatives. Do you mind persuading them for me please if I give you their gedmatch kits? (I collected lots of them)

Kulin
12-03-2020, 04:46 PM
Agreed. I also think that G25 would be more reliable than those of Gedmatch or other Admix calcs. Why do you think it's not fully quantifiable? Is it because some of the South Asian in them might actually be something Negrito or local AASI-like rather than actual Indian ancestry?

I would presumed that the Moros (Muslims) of Mindanao and other islands in the Southern part of the Philippine archipelago which is much closer to Indonesia and Malaysia would have higher Indian ancestry and maybe even Arab admixture than the majority of Philippines who are mostly Christian. But I am not sure if my hypothesis is true as I haven't seen any DNA study on the Muslim Pinos and the two Moro gedmatch results that I seen, score almost like the average Pinoy, with very low South Asian and very negligible to almost zero West Eurasian admixture. But its only two results, so I won't jump to a conclusion yet.

Very interesting. Thanks for the explaining and educating me on this. Is it possible that the Rakhine can be around 30-40% South Asian which is roughly 15-20% West Eurasian on average? It seems they and the Acehnese are one of the most West Eurasian admixed ethnic groups in SE Asia. Yes, it make sense that some communities of the Rakhine would possess more due to their prolong historical connections with Bengal. If the Rakhine and Acehnese can have approximately 15-20% West Eurasian, that would make them as Western admixed as the Maasai and other Cushitic admixed populations from East Africa. Btw do you think this Burmese individual is an ethnic Rakhine? I can easily modelled her as 40% South Asian in Dodecad K12b using Vahaduo and she is almost 20% West Eurasian in PuntDNAL K13 and other cals when I modelled her using Vahaduo?: https://anthrogenica.com/showthread.php?15471-South-Asian-HarappaWorld-results&p=724556&viewfull=1#post724556

This is something that I observed about Indonesia based on the Gedmatch kits of users from there. It seems like Sumatra and its ethnic groups like the Acehnese, Minangkabau, Batak (I don't think I have seen a Batak gedmatch kit but I have seen their pop averages on MDLP K23b, and they seem to score like Malays and Cambodians in their South Asian score), Lampung, etc. likely has the most West Eurasian ancestry among the islands in the archipelago followed by Jakarta, possibly Western areas (ethnic Sundanese-dominated regions) of the Java island and then Bali. Sulawesi (I think I have seen only four gedmatch kits from there based on their names and South Asian score), Borneo and Eastern Indonesia like Sumba, Flores, Timor, Maluku seems to have very minor to negligible West Eurasian admixture by comparison. For some really strange reason, a lot of Indonesian gedmatch kits from Java especially ethnic Javanese (I know they are Javanese because of their given and lastnames) who are from Central and Eastern Java, despite scoring decent amount of South Asian components in many calculators, have very negligible amounts of West Eurasian ancestry and when they have West Eurasian, it tends to be something European (likely Dutch) or even West Asian-related rather than Indian-mediated Western ancestry which really perplexed me. Its the same case in G25 as well, for some reasons the Indonesian_Java samples have only 1-2.4% West Eurasian ancestry which is less than the Indonesian_Bali/Balinese samples who are around 3-5% West Eurasian. On the contrary, I have seen some Javanese gedmatch kits who have a decent amount of West Eurasian (5% or more) ancestry as well, but those who scores negligible West Eurasian (like 1-3%) for some strange factor, seems to be much more prevalent.

I thought that scoring a lot of South Asian component would also guarantee a nice amount of Iran_N and minor Steppe, but that seems not to be the case for many Indonesians. Could it be that the high "South Asian" that a lot of Indonesians from Java are scoring is something Onge, Negrito or local AASI-like ancestry rather than actual Indian gene flow?

Do you know what could be the plausible factors behind this? I would have expected that the Javanese would be more West Eurasian like the Khmers and other SE Asians, considering how much Indianized they are culturally during pre-islamic times to even today (looking at their first and lastnames for example). Is it possible that Indian traders or settlers only settled mainly in urban and coastal areas but not in the more remote or rural areas of Java hence very little gene flow in a lot of Javanese results (both Gedmatch and G25 samples)? I can post you some Javanese results to demonstrate what I have observed. Could it be that, due to Bali being much smaller, it is easier for Indians historically
to settle down and intermarried with the locals, thus introducing their ancestry into the local Balinese gene pool than in Java.

Btw I have a lot of SE Asian gedmatch kits and I really wanted to email and ask them to try out G25, but the thing is I'm too shy to do it since I haven't done any DNA test yet so I might not even be their relatives. Do you mind persuading them for me please if I give you their gedmatch kits? (I collected lots of them)

'Indianization' in the phillipines probably followed a South-North axis. That is the reason why people in Mindanao and the Sulu archipelago remained culturally "malayic" vs hispanicized/christianized in much of the country. Some groups in the phillipines (like in Indonesia, Malaysia etc), especially in the north were also never exposed to this Indian influence, and remained a more secluded animist lifestyle.

Most SE Asians likely have ancestry from South India, and Javanese scoring like that may be a reflection of that, or more likely discrepancy from admixture calculators IMO. Also, vast majority of Gedmatch members won't reply, and a lot are protective about their data. Most testers do not make it the "gedmatch phase" and are okay altogether with 23andme, myheritage etc. A lot of people don't even connect on 23andme itself lol. I think if they had the desire to go for further testing, they'd likely find the will to do so independently or even come across forums such as this.

The Rakhine are definitely atleast 30% "Bengali-like" as are neighbouring groups (Tripuri, Chakma etc). I've been to the Chittagong hill tracts, where a lot of Rakhine live, and it isn't possible to distinguish the Rakhine from Chakma and Tripuri for the most part, though Tripuri people are usually darker. Coastal Rakhines are also probably more W Eurasian than the hill ones. Most don't look South Asian, but the influence is visible in a lot.

Tsakhur
12-03-2020, 05:17 PM
'Indianization' in the phillipines probably followed a South-North axis. That is the reason why people in Mindanao and the Sulu archipelago remained culturally "malayic" vs hispanicized/christianized in much of the country. Some groups in the phillipines (like in Indonesia, Malaysia etc), especially in the north were also never exposed to this Indian influence, and remained a more secluded animist lifestyle.

Most SE Asians likely have ancestry from South India, and Javanese scoring like that may be a reflection of that, or more likely discrepancy from admixture calculators IMO. Also, vast majority of Gedmatch members won't reply, and a lot are protective about their data. Most testers do not make it the "gedmatch phase" and are okay altogether with 23andme, myheritage etc. A lot of people don't even connect on 23andme itself lol. I think if they had the desire to go for further testing, they'd likely find the will to do so independently or even come across forums such as this.

The Rakhine are definitely atleast 30% "Bengali-like" as are neighbouring groups (Tripuri, Chakma etc). I've been to the Chittagong hill tracts, where a lot of Rakhine live, and it isn't possible to distinguish the Rakhine from Chakma and Tripuri for the most part, though Tripuri people are usually darker. Coastal Rakhines are also probably more W Eurasian than the hill ones. Most don't look South Asian, but the influence is visible in a lot.

Do you think Pinoys from Mindanao or Sulu islands will have more Indian or even Arab ancestry compared to the rest of the country?

Would you say most SE Asians have West Eurasian ancestry or are those who have very little to none like Vietnamese, Filipinos are more common? Can you elaborated more on the parted that I bolded in your sentence " Javanese scoring like that may be a reflection of that, or more likely discrepancy from admixture calculators"? I still don't understand.

That really sucks. You are right. I have tried to persuade some 23andme users on Reddit to go further and do Gedmatch, and they seem to ignore or didn't even read my comments. It seems most 23andme reddit users don't even know about the existence of Gedmatch or anything else besides 23andme or other commercial DNA testing companies. By not connecting with 23andme, do you mean they don't understand or can't accept their DNA results? Looks like persuading most of them won't work at all.

Damn, I really wanted David to upload more SE Asian samples into G25. Maybe I will have to find some papers for him to do that. It would be great if someone can create a Gedmatch calculator that also have the AASI along with other West Eurasian components, but I feel it will never happened. I think the closest one was Eurasia K9 ASI but he removed the calc, after he got banned in this forum. Is there a way to have Eurasia K9 ASI included back on Gedmatch or Vahaduo?

Have you personally sucessfully persuaded any South Asian gedmatch user to try G25 or as you mentioned, most of them never replied?

Do you have some Rakhine gedmatch results or samples that can be uploaded to G25 by David? Its interesting to hear that the Tripuri and Chakma are also approximately 30% Bengali-like. Do the Rakhine and Tripuri speak similar languages?

Kulin
12-03-2020, 05:38 PM
Do you think Pinoys from Mindanao or Sulu islands will have more Indian or even Arab ancestry compared to the rest of the country?

Would you say most SE Asians have West Eurasian ancestry or are those who have very little to none like Vietnamese, Filipinos are more common? Can you elaborated more on the parted that I bolded in your sentence " Javanese scoring like that may be a reflection of that, or more likely discrepancy from admixture calculators"? I still don't understand.

Personally, I think overwhelming majority of South-east Asians (groups that have been Hindu in the past) have some South Asian ancestry. I meant that Javanese not showing much 'w eurasian' input is likely a fault of admixture calculators. I would wager they would show a similar amount as some others using g25. Groups devoid of South Asian ancestry are ones that were under Chinese influence (e.g. Vietnamese), or groups that never were in the Hindu-Buddhist cultural sphere (a big percent of the Phillipines + isolated groups in Borneo or Melanesians etc).


That really sucks. You are right. I have tried to persuade some 23andme users on Reddit to go further and do Gedmatch, and they seem to ignore or didn't even read my comments. It seems most 23andme reddit users don't even know about the existence of Gedmatch or anything else besides 23andme or other commercial DNA testing companies. By not connecting with 23andme, do you mean they don't understand or can't accept their DNA results? Looks like persuading most of them won't work at all.

Yep, majority of people I've sent invites to in 23andme do not accept it, which is unfortunate. Though if I did not know much about these things, I would be wary of sending data to a stranger as well, so it is understandable to some degree.


Damn, I really wanted David to upload more SE Asian samples into G25. Maybe I will have to find some papers for him to do that. It would be great if someone can create a Gedmatch calculator that also have the AASI along with other West Eurasian components, but I feel it will never happened. I think the closest one was Eurasia K9 ASI but he removed the calc, after he got banned in this forum. Is there a way to have Eurasia K9 ASI included back on Gedmatch or Vahaduo?

Have you personally sucessfully persuaded any South Asian gedmatch user to try G25 or as you mentioned, most of them never replied?

Do you have some Rakhine gedmatch results or samples that can be uploaded to G25 by David? Its interesting to hear that the Tripuri and Chakma are also approximately 30% Bengali-like. Do the Rakhine and Tripuri speak similar languages?

I wouldn't trust Lukasz's calculators to be fair, I'm not sure what algorithm it uses so I can't comment on that. I have persuaded people that post here, but not anyone from outside this forum unfortunately.

I have seen some Rakhine results, but not that many. Also, do not really know anyone who tested from that background, especially since I quit Gedmatch due to their privacy issues. Having said that, to give you an estimate, Tripuris are on G25 and their fst value to even the Bamar groups are around 3, which is pretty close (closer than I am for e.g. to the g25's Bengali average). This would mean that Tripuris and the Rakhine are especially genetically close, since they have always had close interactions throughout history.
Tripuris speak kokborok, a Bodoish language, while Rakhine basically speak a dialect of Burmese. Rakhine language mainly just pronounces words differently (r instead of y for e.g. Rangon instead of Yangon, Mranma instead of Myanma) and has more sanskrit/persian loanwards. Both are of course Tibeto-Burman in origin.

Tsakhur
12-03-2020, 06:19 PM
Personally, I think overwhelming majority of South-east Asians (groups that have been Hindu in the past) have some South Asian ancestry. I meant that Javanese not showing much 'w eurasian' input is likely a fault of admixture calculators. I would wager they would show a similar amount as some others using g25. Groups devoid of South Asian ancestry are ones that were under Chinese influence (e.g. Vietnamese), or groups that never were in the Hindu-Buddhist cultural sphere (a big percent of the Phillipines + isolated groups in Borneo or Melanesians etc).


Yep, majority of people I've sent invites to in 23andme do not accept it, which is unfortunate. Though if I did not know much about these things, I would be wary of sending data to a stranger as well, so it is understandable to some degree.


I wouldn't trust Lukasz's calculators to be fair, I'm not sure what algorithm it uses so I can't comment on that. I have persuaded people that post here, but not anyone from outside this forum unfortunately.

I have seen some Rakhine results, but not that many. Also, do not really know anyone who tested from that background, especially since I quit Gedmatch due to their privacy issues. Having said that, to give you an estimate, Tripuris are on G25 and their fst value to even the Bamar groups are around 3, which is pretty close (closer than I am for e.g. to the g25's Bengali average). This would mean that Tripuris and the Rakhine are especially genetically close, since they have always had close interactions throughout history.
Tripuris speak kokborok, a Bodoish language, while Rakhine basically speak a dialect of Burmese. Rakhine language mainly just pronounces words differently (r instead of y for e.g. Rangon instead of Yangon, Mranma instead of Myanma) and has more sanskrit/persian loanwards. Both are of course Tibeto-Burman in origin.

Agreed. I also believe that the vast majority of SE Asians have South Asian ancestry. Thanks for explaining further. That's the reason I wished I can asked those Javanese gedmatch kit users to buy G25 so it can solve once for all whether their West Eurasian is hiding under the South Asian components that they are scoring as a result of admixture calc limitations. I see. I also believed that they should have almost the same percentage of West as the Indonesia_Java samples or other SE Asians on G25. Concurred regarding the groups that were never Indicized who seem to be rather the minority in the region.

I really wished there are more people who are genuinely interested in learning more about their DNA and just the subject of genetics in general, which seems to be a small minority among the DNA testers.

Point taken about Lukasz's calcs. But Eurasia K9 ASI was created by Kurd, who after being banned from Anthrogenica, removed most of his calculators from Gedmatch, probably as a result of outrage and anger at being banned. Kurd might have an agenda, but I feel the forum shouldn't banned him. Because it affects those including me who thinks his calcs might be useful. For those who you persuaded in this forum, does it work out?

Were these Rakhine results from Gedmatch, 23andme or AncestryDNA? You don't have your Gedmatch account any longer? Damn, the website seems ok now though.

Ah ok. Rakhine and Tripuris would be very similar including the South Asian and West Eurasian then. It would still be great to have Rakhine G25 samples because I suspected they would be more Western-shifted than even the Bamars. It really sucks that there are only 3 Burmese samples on G25. And all of them are also ethnic Bamar? I feel we need much more Burmese samples including from other ethnic groups like Mon, Shan, Kayin, Rakhine, Kachin, Kayah, etc. to gain a better and clearer genetic insight of Burma.

Btw off topic, but do you have some Khasi samples that can be uploaded to G25? I suspected that they would be around 13-15 or more% West Eurasian, with the rest of their genomes primarily East Asian+very high AASI?

cmd06
12-15-2020, 11:48 AM
Aren't most filipinos closely related to malay people like indonesian and malaysian? Why is that almost all gedmatch result of Filipinos, the single population source is almost always Kinh/Vietnamese? Even the secondary population (source) distance is almost always Kinh/Vietnamese + some other population.

The closest malay combination that I saw was 60% singaporean malay + singaporean chinese, sometimes even 50-50.

Tsakhur
12-16-2020, 03:33 PM
Aren't most filipinos closely related to malay people like indonesian and malaysian? Why is that almost all gedmatch result of Filipinos, the single population source is almost always Kinh/Vietnamese? Even the secondary population (source) distance is almost always Kinh/Vietnamese + some other population.

The closest malay combination that I saw was 60% singaporean malay + singaporean chinese, sometimes even 50-50.

I believe its because they are much more "purer" Austronesian genetically than Indonesians and Malays who have substantial South Asian or AASI ancestry. And it might have to do the fact that Indonesians and Malays also have a lot of Austroasiatic/mainland SE Asian-like ancestry than Pinoys mostly lack.

cmd06
12-16-2020, 04:17 PM
But viets are austroasiatics right? Or their austroasiatic component did not come from the viets but rather from another population like cambodians? Indonesians/malaysians usually have cambodia as their single population source then modeled as malay + some other population.

okarinaofsteiner
12-19-2020, 09:30 PM
Aren't most filipinos closely related to malay people like indonesian and malaysian? Why is that almost all gedmatch result of Filipinos, the single population source is almost always Kinh/Vietnamese? Even the secondary population (source) distance is almost always Kinh/Vietnamese + some other population.

The closest malay combination that I saw was 60% singaporean malay + singaporean chinese, sometimes even 50-50.

It depends on which calculator(s) you look at. Filipinos and Vietnamese seem to have less Hoabinhian and less South Asian-like ancestry than other SE Asians.

Also many Filipinos (especially the ones who would get a DNA test) have low levels of Chinese ancestry that shifts their overall East Eurasian ancestry more "northern". Kinh are genetically closer to Han Chinese groups than Filipinos are, which makes sense geographically since Vietnam shares a direct land border with China, while the Philipines are separated from Taiwan by hundreds of kilometers of open water.

witness
12-23-2020, 07:55 PM
It depends on which calculator(s) you look at. Filipinos and Vietnamese seem to have less Hoabinhian and less South Asian-like ancestry than other SE Asians.

Also many Filipinos (especially the ones who would get a DNA test) have low levels of Chinese ancestry that shifts their overall East Eurasian ancestry more "northern". Kinh are genetically closer to Han Chinese groups than Filipinos are, which makes sense geographically since Vietnam shares a direct land border with China, while the Philipines are separated from Taiwan by hundreds of kilometers of open water.

Remember that not all Indonesians are Malays.The entire Eastern part of the Country is Austronesian and Melanesian.

drobbah
01-02-2021, 04:44 AM
How much West Eurasian ancestry do the Malays have both in Malaysia and Indonesia? And how common is Yemeni ancestry among them, are there certain hotspots in the region where Arab ancestry is prevalent?

subzero85
01-03-2021, 04:06 PM
How much West Eurasian ancestry do the Malays have both in Malaysia and Indonesia? And how common is Yemeni ancestry among them, are there certain hotspots in the region where Arab ancestry is prevalent?

https://www.yfull.com/tree/G-Y32613/

I think noticeable amounts at the population level are mainly concentrated in Aceh and north Sumatra.

drobbah
01-04-2021, 12:21 AM
Majority of the West Eurasian in the muslim SE Asians will be from South Asia.How much South Asian ancestry do they have especially the Malays of Malaysia & Indonesia (like Borneo)

Tsakhur
01-04-2021, 03:16 PM
Majority of the West Eurasian in the muslim SE Asians will be from South Asia.How much South Asian ancestry do they have especially the Malays of Malaysia & Indonesia (like Borneo)

Yes. Not only is it the case for Muslim SE Asians but even most of the West Eurasian ancestry in Buddhist SE Asians like Burmese, Thais, Khmers/Cambodians, even Laotians (although they have less than other mainland SE Asians) also come from South Asia. It seems most Viets (unless they got it from Khmers, Chams and other ethnic minorities) most Filos (another term for Philippinos), some isolated tribes in mainland SE Asia, Borneo and some other islands doesn't have this South Asian-induced West Eurasian affinity.

I have a lot of Malay gedmatch samples from Malaysia and Singapore (those of ethnic Malays from Indonesia seems to be harder to find) and I would say most have around 15-20% South Asian or more which would be around 7-10% West Eurasian ancestry or more. But keep in mind though, that some of these "South Asian" they are scoring might not be actual Indian but some local Hoabinhnian/AASI or Negrito-related ancestry.

I did some Vahaduo runs on the Malaysian gedmatch samples that I have, I will post them later.

Here are what the Malays score in G25: I assumed most of the samples are from Malaysia. It sucks that there are only 5 samples. The average Malay seems to be around 5.3% West Eurasian (Iran_Neo+Steppe+negligible Arabian/Yemeni) according to G25 which is strange because most Malay gedmatch kits I have score more West Eurasian ancestry than that. The most Western-shifted Malay sample in G25 is 10.4% West Eurasian when actually on Gedmatch, I have seen a lot of Malays who easily possessed more than 10% West Eurasian.

https://i.imgur.com/bjte5bw.png

Now I removed the West Eurasian components and replaced them with South Asian pops: Velamas, a midcaste from South India and Brahmins from UP/Uttar Pradesh in Northern India.

https://i.imgur.com/xmzR1Pz.png

Interestingly, the Malay G25 samples are only approximately 8% South Asian (Velama+Brahmin from UP) on average. When I have seen Malays scoring much more South Asian than that on Gedmatch. But the thing is some of those "South Asian" that they score could actually be Negrito or some Hoabinhnian/AASI-like element which a lot of other SE Asians also have. This is because that in Gedmatch calcs, there are no separate AASI and Negrito components, and it seems that they are all lumped as "South Asian" or "Indian".

I will post those Malay results from Gedmatch later, I have to compile them and run them all with Vahaduo first.

Tsakhur
01-04-2021, 06:07 PM
Majority of the West Eurasian in the muslim SE Asians will be from South Asia.How much South Asian ancestry do they have especially the Malays of Malaysia & Indonesia (like Borneo)

Btw here are my compilation of all Indonesian gedmatch samples using Vahaduo PuntDNAL K13 Global. The Indonesian average is around 5.6% West Eurasian. Most of the West Eurasian ancestry they score seem to be South Asian-derived indeed, followed by MENA and then European admixture.

I have the label "Unsure" for many Indonesians because I'm not sure what ethnic groups they are or where in the nation they are originally from. Also the "Eastern Indonesian" labels means that Im certain they are from Eastern parts of the Indonesian archipelago, but I don't know what island/region in Eastern Indonesia they are from or ethnicity they are.

https://i.imgur.com/Gmu8GTI.png

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

https://i.imgur.com/bXH5gZV.png

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

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

drobbah
01-04-2021, 07:28 PM
Yes. Not only is it the case for Muslim SE Asians but even most of the West Eurasian ancestry in Buddhist SE Asians like Burmese, Thais, Khmers/Cambodians, even Laotians (although they have less than other mainland SE Asians) also come from South Asia. It seems most Viets (unless they got it from Khmers, Chams and other ethnic minorities) most Filos (another term for Philippinos), some isolated tribes in mainland SE Asia, Borneo and some other islands doesn't have this South Asian-induced West Eurasian affinity.

I have a lot of Malay gedmatch samples from Malaysia and Singapore (those of ethnic Malays from Indonesia seems to be harder to find) and I would say most have around 15-20% South Asian or more which would be around 7-10% West Eurasian ancestry or more. But keep in mind though, that some of these "South Asian" they are scoring might not be actual Indian but some local Hoabinhnian/AASI or Negrito-related ancestry.

I did some Vahaduo runs on the Malaysian gedmatch samples that I have, I will post them later.

Here are what the Malays score in G25: I assumed most of the samples are from Malaysia. It sucks that there are only 5 samples. The average Malay seems to be around 5.3% West Eurasian (Iran_Neo+Steppe+negligible Arabian/Yemeni) according to G25 which is strange because most Malay gedmatch kits I have score more West Eurasian ancestry than that. The most Western-shifted Malay sample in G25 is 10.4% West Eurasian when actually on Gedmatch, I have seen a lot of Malays who easily possessed more than 10% West Eurasian.

https://i.imgur.com/bjte5bw.png

Now I removed the West Eurasian components and replaced them with South Asian pops: Velamas, a midcaste from South India and Brahmins from UP/Uttar Pradesh in Northern India.

https://i.imgur.com/xmzR1Pz.png

Interestingly, the Malay G25 samples are only approximately 8% South Asian (Velama+Brahmin from UP) on average. When I have seen Malays scoring much more South Asian than that on Gedmatch. But the thing is some of those "South Asian" that they score could actually be Negrito or some Hoabinhnian/AASI-like element which a lot of other SE Asians also have. This is because that in Gedmatch calcs, there are no separate AASI and Negrito components, and it seems that they are all lumped as "South Asian" or "Indian".

I will post those Malay results from Gedmatch later, I have to compile them and run them all with Vahaduo first.
Do you have any info about the Indonesian Malays? Specifically those from the Indonesian Borneo?

Tsakhur
01-05-2021, 01:20 AM
Do you have any info about the Indonesian Malays? Specifically those from the Indonesian Borneo?

Unfortunately, I don't particularly know any study or info about Indonesian Malays. But I can try to find some. I have only a few Malay gedmatch results from Borneo but they are from Malaysia (Sarawak, Sabah) or Brunei rather than from the Indonesian territory on the island. I can post them.

A bit more about Indonesia, I forgot to clarify that the West Eurasian ancestry in Indonesian samples as in the PuntDNAL Global K13 compilations that I posted above, is Iran Neolithic (Brahui)+Steppe (Lithuanian) followed by MENA (Saudi- maybe I should used Yemeni to get a clearer picture), and European (German_North+Spaniard) admixture.

And another interesting observation is it seems like almost all the Indonesian samples from Sumatra in the West to Maluku/Moluccas in the East, shows West Eurasian ancestry from as little as 1% to as high as 13-14%. And there are even a few heavily MENA and European admixed individuals who can be around 25% West Eurasian but those are outliers. The most West Eurasian admixed island seems to be Sumatra especially in regions like Aceh, West Sumatra and the least West Eurasian admixed regions seems to be some remote islands in Eastern Indonesia or more isolated tribes in interior Borneo.

Tsakhur
01-06-2021, 01:52 PM
Do you have any info about the Indonesian Malays? Specifically those from the Indonesian Borneo?

Here are some Malay gedmatch samples from Borneo but they are rather from Sarawak and Sabah states of Eastern Malaysia and one from Brunei. I unfortunately don't have any Indonesian Malay samples from Kalimantan (the Indonesian part of Borneo) but I would guess that they would be genetically similar to these Malays from the Malaysian and Brunei side of Borneo. I might actually have some kits from Kalimantan but I cannot verify their identity.

I will post their PuntDNAL Global K13 results as it seems to be one of the best calculators in gauging the amount of West Eurasian ancestry in SE Asians.

1. He is from Kuching which is in Sarawak in Eastern Malaysia.

Admix Results (sorted):

# Population Percent
1 SE_Asia 57.26
2 NE_Asia 27.11
3 South_Asia 9.11
4 Oceania 3.81
5 SW_Europe 1.57
6 NE_Europe 0.92
7 West_Africa 0.21


Single Population Sharing:

# Population (source) Distance
1 Malayan 3.92
2 Visayan 5.59
3 Filipino 7.01
4 Luzon 8.42
5 Dusun 12.16
6 Cambodian 13.74
7 Murut 13.94
8 Thai 25.12
9 Dai 27.21
10 Vietnamese 28.93
11 Lahu 35.14
12 Igorot 37.52
13 Burmese 39.77
14 Miaozu 45.52
15 Han_South_China 50.4
16 She 50.53
17 Naxi 57.26
18 Han_North_China 62.83
19 Afghan_Hazara 63.07
20 Xibo 64.12

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 77.6% Malayan + 22.4% Dusun @ 1.85
2 66.2% Malayan + 33.8% Filipino @ 1.86
3 80% Malayan + 20% Murut @ 1.88
4 92% Malayan + 8% Igorot @ 2.18
5 89.2% Luzon + 10.8% Mawasi @ 2.28
6 90.9% Luzon + 9.1% Paniya @ 2.3
7 53.2% Dusun + 46.8% Cambodian @ 2.31
8 71.9% Malayan + 28.1% Luzon @ 2.33
9 90.7% Luzon + 9.3% Pulliyar @ 2.45
10 91.1% Luzon + 8.9% Hakkipikki @ 2.8
11 90.9% Luzon + 9.1% North_Kannadi @ 2.8
12 90.1% Luzon + 9.9% Gond @ 2.81
13 67.9% Dusun + 32.1% Thai @ 2.86
14 50.4% Cambodian + 49.6% Murut @ 2.9
15 90.7% Luzon + 9.3% Chenchus @ 2.92
16 91.1% Luzon + 8.9% Sakilli @ 2.95
17 65.4% Malayan + 34.6% Visayan @ 3.04
18 90.9% Luzon + 9.1% UP_Muslim @ 3.08
19 64.7% Murut + 35.3% Thai @ 3.09
20 92.8% Filipino + 7.2% Paniya @ 3.1



Using Vahaduo to model his PuntDNAL Global K13: only 2.6% West Eurasian (and it seems to be European rather than South Asian-derived). And around 6.4% AASI but it might be a local Hoabinhnian or Negrito-like ancestry rather than South Asian gene flow as he lacked the Iranian Farmer+Steppe components (I used Brahui and Lithuanian to represent these two South Asian-derived elements)

Target: Malay_Sarawak_1
Distance: 66.6669% / 0.66666933
32.8 Luzon
25.8 Dai
21.4 Igorot
8.6 Murut
6.4 Simulated_AASI
2.6 Spaniard
2.4 Papuan

2. Malay from Kuching, Sarawak in Malaysian Borneo.

Admix Results (sorted):

# Population Percent
1 SE_Asia 53.39
2 NE_Asia 28.65
3 South_Asia 10.15
4 Oceania 3.13
5 SW_Europe 1.18
6 West_Asia 1.02
7 SW_Asia 1.01
8 West_Africa 0.98
9 NE_Europe 0.46
10 Americas 0.03


Single Population Sharing:

# Population (source) Distance
1 Malayan 3.06
2 Visayan 8.53
3 Filipino 9.8
4 Cambodian 10
5 Luzon 11.45
6 Dusun 16.2
7 Murut 17.92
8 Thai 20.95
9 Dai 24.43
10 Vietnamese 25.64
11 Lahu 31.76
12 Burmese 35.79
13 Igorot 41.53
14 Miaozu 42.23
15 Han_South_China 47.12
16 She 47.29
17 Naxi 53.69
18 Han_North_China 59.36
19 Afghan_Hazara 59.59
20 Xibo 60.72

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 50.5% Filipino + 49.5% Cambodian @ 2.32
2 97.6% Malayan + 2.4% Nogay @ 2.6
3 54% Murut + 46% Thai @ 2.6
4 97.9% Malayan + 2.1% Dominican @ 2.6
5 56.5% Dusun + 43.5% Thai @ 2.62
6 97.4% Malayan + 2.6% Afghan_Hazara @ 2.62
7 97.9% Malayan + 2.1% Balkar @ 2.64
8 94% Malayan + 6% Dai @ 2.64
9 98% Malayan + 2% Adygei @ 2.64
10 98.2% Malayan + 1.8% Fulani @ 2.64
11 97.9% Malayan + 2.1% Kumyk @ 2.64
12 94.3% Malayan + 5.7% Vietnamese @ 2.65
13 97.9% Malayan + 2.1% Turkish_Aydin @ 2.65
14 98% Malayan + 2% Ossetian @ 2.65
15 98% Malayan + 2% Dagestan_Azeri @ 2.65
16 95.4% Malayan + 4.6% Lahu @ 2.65
17 98.1% Malayan + 1.9% Abkhasian @ 2.65
18 98% Malayan + 2% Chechen @ 2.65
19 98% Malayan + 2% Azerbaijan_Azeri @ 2.66
20 97.7% Malayan + 2.3% Afghan_Uzbeki @ 2.66


Using Vahaduo to model her PuntDNAL Global K13 result. She is approx. 4% West Eurasian with it seem to be mainly MENA and European derived rather than South Asian as her Brahui is lower than her Saudi and Spaniard components. But the minor South Asian could still be legit as she has 0.6% Brahui along with 7.2% AASI.

Target: Malay_Sarawak_2
Distance: 50.2070% / 0.50206972
32.0 Dai
27.4 Luzon
16.6 Igorot
10.2 Murut
7.2 Simulated_AASI
1.8 Papuan
1.8 Saudi
1.4 Spaniard
1.0 Yoruba
0.6 Brahui


3. This one is also a Malay from the Malaysian Borneo. But I'm not sure whether he is from Sarawak or Sabah. He has very little South Asian compared to most Malays. I think is a Malayized and Islamized Dayak or Kadazan-Dusun (the indigenous tribes of Borneo island). A lot of ethnic "Malays" on Borneo are probably Islamized and Malayized tribal Austronesians.

Also I know phenotypical discussion isn't allow here but I find interesting that he looks very "East Asian"-ish compared to most Malays and can easily be mistaken as ethnic Chinese (There's a lot of overseas Chinese in Malaysia). But I have seen pictures of Dayaks, Kadazan, Dusun and other Borneo Austronesians and a lot of them have a very "East Asian/northern-shifted" look as well compared to most SE Asians.

Admix Results (sorted):

# Population Percent
1 SE_Asia 61.37
2 NE_Asia 31.18
3 Oceania 3.2
4 South_Asia 2.95
5 East_Africa 0.42
6 West_Africa 0.34
7 NE_Europe 0.29
8 SW_Asia 0.23
9 Americas 0.02

Single Population Sharing:

# Population (source) Distance
1 Luzon 1.91
2 Filipino 3.85
3 Visayan 7.89
4 Dusun 9.9
5 Malayan 10.59
6 Murut 12.11
7 Cambodian 19.44
8 Dai 25.94
9 Vietnamese 29
10 Thai 29.07
11 Lahu 35.17
12 Igorot 35.36
13 Burmese 42.06
14 Miaozu 44.98
15 Han_South_China 49.71
16 She 49.72
17 Naxi 57.71
18 Han_North_China 62.78
19 Xibo 64.93
20 Korean 66.25

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.8% Luzon + 2.2% Japanese @ 1.02
2 97.5% Luzon + 2.5% Han_North_China @ 1.03
3 97.6% Luzon + 2.4% Korean @ 1.03
4 97.3% Luzon + 2.7% Naxi @ 1.05
5 96.6% Luzon + 3.4% Miaozu @ 1.05
6 96.9% Luzon + 3.1% Han_South_China @ 1.06
7 95.7% Luzon + 4.3% Lahu @ 1.07
8 96.9% Luzon + 3.1% She @ 1.09
9 97.7% Luzon + 2.3% Xibo @ 1.11
10 96.5% Luzon + 3.5% Burmese @ 1.13
11 94.4% Luzon + 5.6% Dai @ 1.14
12 95% Luzon + 5% Vietnamese @ 1.15
13 97.8% Luzon + 2.2% Daur @ 1.2
14 95.3% Luzon + 4.7% Thai @ 1.28
15 98.1% Luzon + 1.9% Mongolian @ 1.3
16 98.1% Luzon + 1.9% Oroqen @ 1.32
17 98% Luzon + 2% Afghan_Hazara @ 1.34
18 98.2% Luzon + 1.8% Altaian @ 1.36
19 98.3% Luzon + 1.7% Tuvinian @ 1.41
20 98.6% Luzon + 1.4% Kikuyu @ 1.43


Using Vahaduo to model his result: He has only 0.4% West Eurasian which is literally noise level. This is probably one of the lowest West Eurasian score that I have ever seen of someone from Malaysia. His AASI is also almost non-existent. Makes sense though that he could possibly be an Islamized and Malayized Dayak or Kadazan-Dusun as these tribal Austronesians have very negligible to no South Asian and West Eurasian unlike most SE Asians as they lived in remote heavily forested regions in the interior of Borneo.

Target: Malay_Borneo
Distance: 72.0212% / 0.72021247
42.8 Dai
31.2 Igorot
17.2 Luzon
5.4 Murut
2.2 Papuan
0.4 Simulated_AASI
0.4 Yoruba
0.2 Lithuanian
0.2 Saudi


4. She is also a Malay from Sabah, which is another state in Malaysian Borneo to the east of Sarawak. She seems to have very significant West Eurasian ancestry compared to a lot of locals from Borneo. On the other hand, she score pretty low South Asian component unlike most Malays especially those from the Peninsular Malaysia and Singapore who have much higher.

Admix Results (sorted):

# Population Percent
1 SE_Asia 54.13
2 NE_Asia 21.05
3 South_Asia 9.5
4 West_Asia 7.64
5 Oceania 2.84
6 SW_Europe 1.54
7 NE_Europe 1.46
8 Siberia 0.86
9 Americas 0.57
10 South_Africa 0.26
11 SW_Asia 0.15


Single Population Sharing:

# Population (source) Distance
1 Malayan 10.18
2 Visayan 11.18
3 Filipino 12.3
4 Luzon 15.36
5 Cambodian 16.08
6 Dusun 16.57
7 Murut 17.61
8 Thai 25.52
9 Dai 31.72
10 Vietnamese 32.81
11 Lahu 38.39
12 Igorot 38.64
13 Burmese 41.04
14 Miaozu 48.71
15 Han_South_China 53.43
16 She 53.8
17 Afghan_Hazara 58.01
18 Naxi 59.24
19 Afghan_Uzbeki 60.14
20 Nogay 62.54

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 79.7% Dusun + 20.3% Burusho @ 1.93
2 80.4% Dusun + 19.6% Pathan @ 2.64
3 80.4% Dusun + 19.6% Pakistan_Pashtun @ 2.73
4 80.8% Dusun + 19.2% Sindhi @ 2.79
5 80.9% Dusun + 19.1% Balochi @ 2.82
6 81% Dusun + 19% Brahui @ 2.93
7 80.3% Dusun + 19.7% Afghan_Pashtun @ 3.04
8 80.9% Dusun + 19.1% Makrani @ 3.15
9 81% Dusun + 19% Punjabi @ 3.23
10 80.5% Dusun + 19.5% Kashmir_Pandit @ 3.24
11 78.8% Murut + 21.2% Burusho @ 3.37
12 78.8% Dusun + 21.2% Afghan_Uzbeki @ 3.7
13 79.8% Dusun + 20.2% Tadjik @ 3.86
14 77.8% Murut + 22.2% Afghan_Uzbeki @ 4.02
15 85.6% Filipino + 14.4% Punjabi @ 4.04
16 79.7% Murut + 20.3% Pathan @ 4.05
17 85.8% Filipino + 14.2% Tamil_Nadu_Brahmin @ 4.09
18 85.3% Filipino + 14.7% Kashmir_Pandit @ 4.11
19 86.3% Filipino + 13.7% Velamas @ 4.22
20 79.7% Murut + 20.3% Pakistan_Pashtun @ 4.22


Using Vahaduo to model her result. She is almost 16% West Eurasian which is very high for a SE Asian. Interestingly, she scores a lot of Iranian Neolithic (Brahui) but very minor amounts of AASI. The very disproportional ratio of her Brahui to AASI makes me think that she might not have Indian ancestry but something South-Central Asian or even West Asian-related West Eurasian ancestry as suggested by the mixed mode sharing above modelling her as a mix between mostly Dusun/Murut (tribal Austronesian ethnic groups from Borneo) + something Pathan/Burusho/Tadjik/Afghan_Pashtun/Balochi-like, etc. Interestingly, despite her significant West Eurasian, she looks completely "East Asian" which shows that genetics does not always correlated to how one would end up looking like.

Target: Malay_Sabah
Distance: 102.5143% / 1.02514292
28.2 Igorot
17.2 Murut
16.6 Luzon
15.6 Brahui
10.6 Dai
6.2 Han_South_China
3.2 Simulated_AASI
1.8 Papuan
0.4 German_North
0.2 Ju_Hoan

I also have her husband's gedmatch kit and he is like a mix between Malay, South Asian and Swahili ancestry. He has a relative from Mombasa for example and scores around 13% SSA. I will post his result in another post.

5. Malay from Brunei. He has pretty high South Asian compared to other results that I saw from Borneo.

Admix Results (sorted):

# Population Percent
1 SE_Asia 47.53
2 NE_Asia 20.01
3 South_Asia 15.02
4 West_Asia 7.62
5 NE_Europe 4.98
6 Oceania 2
7 SW_Europe 1.09
8 West_Africa 0.99
9 SW_Asia 0.77

Single Population Sharing:

# Population (source) Distance
1 Cambodian 13.74
2 Malayan 14.07
3 Visayan 17.87
4 Filipino 19.72
5 Thai 21.88
6 Luzon 22.47
7 Dusun 24.21
8 Murut 25.14
9 Vietnamese 32.38
10 Dai 32.63
11 Lahu 37.52
12 Burmese 37.75
13 Igorot 45.63
14 Miaozu 47.74
15 Han_South_China 52.39
16 Afghan_Hazara 52.61
17 She 52.83
18 Afghan_Uzbeki 53.91
19 Mawasi 55.51
20 Naxi 57.02

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 76.3% Filipino + 23.7% Tamil_Nadu_Brahmin @ 3.81
2 73.8% Luzon + 26.2% Tamil_Nadu_Brahmin @ 4.22
3 75.2% Filipino + 24.8% Bengali @ 4.23
4 73% Luzon + 27% Kashmir_Pandit @ 4.25
5 77.1% Filipino + 22.9% UP_Muslim @ 4.36
6 70.6% Dusun + 29.4% Burusho @ 4.36
7 71.5% Dusun + 28.5% Kashmir_Pandit @ 4.37
8 75.7% Filipino + 24.3% Kashmir_Pandit @ 4.76
9 76.9% Filipino + 23.1% Tamil_Nadu_Caste @ 4.84
10 77.3% Filipino + 22.7% Velamas @ 4.9
11 73.8% Luzon + 26.2% Punjabi @ 4.95
12 71.1% Dusun + 28.9% Bengali @ 4.97
13 69.8% Murut + 30.2% Burusho @ 4.99
14 77.4% Filipino + 22.6% Piramalai_Kallars @ 5.06
15 72.7% Luzon + 27.3% Bengali @ 5.1
16 76.9% Filipino + 23.1% Chenchus @ 5.13
17 77.7% Filipino + 22.3% Kurumba @ 5.14
18 72.5% Dusun + 27.5% Tamil_Nadu_Brahmin @ 5.14
19 72.3% Dusun + 27.7% Punjabi @ 5.2
20 76.5% Filipino + 23.5% Punjabi @ 5.35


Using Vahaduo to model his result: He is around 19% West Eurasian which is one of the highest I have seen among Malays and other SE Asians. His West Eurasian seems primarily South Asian-derived because he scores a lot of Iranian Farmer (Brahui), minor Steppe (Lithuanian) and some AASI. Most Bornean results score less South Asian than him.

Target: Malay_Brunei
Distance: 150.4568% / 1.50456771
22.0 Murut
18.6 Luzon
15.2 Dai
15.0 Igorot
14.4 Brahui
8.4 Simulated_AASI
4.8 Lithuanian
0.8 Papuan
0.8 Yoruba

Anyway, I decided to run the five Bornean Malay samples to see if they actually have any South Asian ancestry using the Velama (a South Indian middle caste group) and look like I was wrong, the Malay_Sabah do have some South Asian (Velama). Even Malay_Sarawak_2 seems to show traces of it. And the excess Brahui in the Malay_Sabah individual seems to not be South Asian but something South-Central Asian-related such as Pashtun/Tajik or even actual Iranian-related (look at the second screenshot). Also the Malay_Brunei individual have excess Lithuanian which suggested he might have actual European admixture besides South Asian (Iran Neo+Steppe).

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

https://i.imgur.com/81ailVl.png

I believed that the Indonesian Malays from Kalimantan (Indonesian Borneo) will score similar to these Malays from Sarawak, Sabah (Malaysian Borneo) and Brunei that I posted.

drobbah
01-06-2021, 02:50 PM
Those are some large distances bro plus they are scoring Yoruba which doesn't make sense either.Could you run those samples with this model?

TON_2500BP,0.009675,-0.415859,-0.0499685,-0.0499035,0.1481815,0.061495,0.00047,-0.0080765,-0.0243385,-0.017039,0.0531825,0.0086925,-0.004683,-0.0128675,0.0129615,0.006099,-0.0083445,0.0033575,0.012947,-0.0086295,0.0023705,-0.024854,-0.0077645,-0.013255,-0.0644255
LAO_BA,0.002276,-0.380824,-0.079195,-0.03553,0.148643,0.06777,-0.00047,-0.013615,0.00409,-0.020593,0.082006,0.007643,-0.022002,0.005643,0.004614,-0.004375,0.000782,-0.001774,-0.006411,0.019509,-0.011854,0.014096,-0.008627,-0.005663,0.036643
LAO_Hoabinhian,-0.025041,-0.224432,-0.11917,0.087856,0.022466,-0.001952,-0.003055,0.01223,0.060539,0.018406,0.012829,0.0011 99,-0.000446,0.006055,-0.007872,-0.006364,-0.00352,-0.00076,-0.005531,0.023386,0.006988,0.013107,-0.017131,-0.001325,0.003712
LAO_LN_BA,0.005691,-0.40215,-0.083721,-0.034561,0.15049,0.078089,-0.002585,-0.012692,-0.006136,-0.018588,0.089801,0.004346,-0.012785,0.010184,0.003393,-0.005701,-0.002477,0.0019,-0.00088,0.026388,-0.016845,0.02201,-0.011955,0.001325,0.039038
Yemeni:Y221,0.045529,0.146236,-0.064111,-0.121449,-0.004924,-0.049364,-0.010105,-0.006231,0.05788,-0.002369,0.016401,-0.031172,0.056045,-0.011147,0.005972,0.021082,-0.002868,0.003294,0.001634,0.024762,0.013851,0.014 715,-0.012695,0.007712,-0.013172
Yemeni:Y092,0.036423,0.132019,-0.065619,-0.113374,-0.009848,-0.051316,-0.017156,-0.018692,0.056244,0.001276,0.012666,-0.030573,0.048612,0.002202,0.013165,0.021082,-0.026468,0.010769,0.001508,0.021385,0.012603,0.025 472,-0.009983,0.00964,-0.000359
Yemeni:Y517,0.048944,0.142174,-0.054305,-0.098515,-0.016311,-0.042112,-0.013396,-0.007384,0.043768,0.000182,0.01494,-0.014237,0.037908,0.005643,0.005157,0.020154,-0.014342,0.003167,0.002011,0.02051,0.004866,0.0096 45,0.001479,0.010604,-0.00455
Papuan:HGDP00540,-0.048944,-0.242712,-0.267756,0.312665,0.204654,-0.520131,-0.00188,0.007154,-0.039064,-0.009659,-0.020461,0.003147,-0.001784,-0.004679,0.000814,0.002784,0,-0.0019,0.000628,-0.003001,0.006489,-0.00136,0.000986,0.002771,0.002874
Papuan:HGDP00541,-0.045529,-0.241696,-0.257196,0.303944,0.207423,-0.497262,-0.000705,0.007615,-0.040496,-0.011116,-0.017213,-3e-04,0.004162,-0.004679,-0.000136,-0.000796,-0.000261,-0.001014,-0.004399,0.002376,0.000374,-0.000124,0.001849,0.006025,-0.001676
Papuan:HGDP00542,-0.044391,-0.24068,-0.261722,0.302006,0.200037,-0.503119,-0.00423,0.009,-0.037428,-0.013121,-0.017538,-0.00015,0.004906,-0.006881,0.000136,-0.001989,-0.00326,-0.004561,-0.004651,-0.000375,0.000873,0.004328,0.002095,0.001325,-0.003712
Papuan:HGDP00545,-0.044391,-0.239665,-0.267756,0.308789,0.208962,-0.504513,0.001645,0.007615,-0.041723,-0.014943,-0.017376,-0.001649,-0.003568,0.001239,0.001493,-0.000796,-0.002217,-0.001267,-0.000251,-0.003126,0.005241,0.00272,0.000739,-0.000482,0.000359
Papuan:HGDP00552,-0.046667,-0.24068,-0.264362,0.318803,0.213578,-0.52292,-0.0047,0.003692,-0.047654,-0.010934,-0.021922,0.003297,0.003271,-0.00055,-0.001493,-0.000796,-0.005215,-0.000507,0.003268,-0.003502,-0.001248,0.003462,0.000493,-0.000482,0.010179
Velamas:VELZ260,0.048944,-0.05687,-0.167442,0.106268,-0.084323,0.059683,-0.001645,0.010384,0.03211,0.018953,-0.006333,0.002548,-0.003717,0.003165,0.001357,0.001326,0.001565,0.004 687,0.005154,-0.007128,0.00549,-0.001484,0.002835,0.002289,-0.004071
Velamas:VELZ264,0.0387,-0.087336,-0.172721,0.112405,-0.076937,0.063866,0.00282,0.011999,0.046427,0.0304 33,0.004222,0.001948,-0.000446,0.010597,-0.011943,-0.008353,0.001434,-0.004814,0.004274,0.01013,-0.000125,0.000618,0.001109,0.001807,-0.000599
Velamas:VELZ267,0.042115,-0.074134,-0.172721,0.104976,-0.081246,0.061077,0.002585,0.015692,0.037837,0.025 695,-0.001299,0.002248,-0.001784,-0.001239,-0.005157,0.00358,0.016037,-0.003801,0.005279,-0.003126,0.012104,-0.000742,0.002095,0,-0.000479
Han:Chongqing,0.021247,-0.4525877,-0.012822,-0.0673993,0.0852467,0.0369993,0.0010967,-0.0020767,-0.017112,-0.0037053,-0.0481753,-0.0039463,0.010753,-0.0038077,-0.0048407,0.0005307,0.0009997,-0.0016047,0.0039803,-0.00692,0.0144327,0.0084083,0.0162277,0.0002007,0. 0048697
Han:Fujian,0.0188946,-0.4521136,-0.0145568,-0.0678946,0.0864776,0.0395466,0.002068,-0.0018924,-0.0146846,-0.0016766,-0.0510548,-0.0047356,0.0057682,-0.0093856,-0.0056188,-0.0015382,0.0022424,0.0015964,-0.0019862,-0.0136064,0.0172694,0.004773,0.0166632,0.003856,-0.0067058
Han:Guangdong,0.0191873,-0.452491,-0.0207956,-0.0709677,0.1010297,0.0476506,0.0002686,-0.0087359,-0.0151054,-0.0067167,-0.0306217,-0.0036181,0.0057764,-0.0040696,-0.004188,0.0026517,-0.0003353,0.0022441,-0.0006644,-0.0156684,0.0137256,0.0086554,0.0126241,0.0002066,-0.0026517
Han:Henan,0.0254964,-0.4441926,0.0088248,-0.0643416,0.0505322,0.020415,0.0067212,0.0033692,-0.0136212,0.0037906,-0.076355,-0.01142,0.0121306,-0.0083674,-0.0050218,0,0.0025556,-0.0011656,-0.0014832,-0.004377,0.0109056,0.0073698,0.0085288,-0.001687,-0.001868
Han:Hubei,0.0220816,-0.454551,-0.0059588,-0.067184,0.0749678,0.03224,0.000235,-0.0044306,-0.0137848,0.0022232,-0.0520616,-0.0056348,0.0087414,-0.0073766,-0.005293,0.000106,0.0019038,0.0009374,-0.004148,-0.0133564,0.0203392,0.0022008,0.0134092,-0.0006268,-0.005173
Han:Jiangsu,0.0224394,-0.454667,-0.0003771,-0.070091,0.0635283,0.0276101,0.0073186,9.9e-05,-0.0141997,0.0028116,-0.067948,-0.0075363,0.0111706,-0.0081396,-0.0075033,-0.000966,-0.0003351,0.0026064,-0.0038789,-0.0114161,0.0132981,0.005229,0.012712,-0.0009811,-0.0014713
Han:Shandong,0.0221324,-0.4486384,0.0053634,-0.0601139,0.051531,0.0212577,0.0061884,0.0004358,-0.0107261,0.0035638,-0.0734899,-0.0087422,0.0102906,-0.0087619,-0.0078416,-4.4e-05,0.0014342,0.0013372,-0.0012011,-0.0084486,0.0109669,0.0066084,0.0116127,0.0010577,-0.0004924
Han:Shanghai,0.029594,-0.447341,-0.001697,-0.069445,0.0584725,0.0326305,0.0036425,0.002423,-0.015135,-0.0035535,-0.076079,-0.015511,0.0113725,-0.002546,-0.0036645,0.0077565,0.0038465,0.0043705,0.0046505,-0.0170705,0.0165335,0.00779,0.011955,-0.0030725,-0.005149
Han:Shanxi,0.0257524,-0.4395974,0.0116908,-0.0601184,0.0473551,0.0175701,0.0066389,0.001846,-0.0100984,0.0051936,-0.0747391,-0.0083924,0.0102761,-0.0079308,-0.006752,-0.000464,0.0010756,-0.0004434,-0.0053107,-0.0069721,0.0087502,0.0105878,0.0123094,0.0024401, 0.0014221
Han:Sichuan,0.0198376,-0.4481384,-0.0072191,-0.0669994,0.0771573,0.0334269,0.0019807,-0.0053403,-0.0132647,0.0003644,-0.0533564,-0.0100197,0.0100026,-0.0074121,-0.0077361,-0.0008144,0.0011921,-0.0007057,-0.003717,-0.0058243,0.0112301,0.0063063,0.0116909,0.0002239, 0.0024806
Han:12,0.0216262,-0.4547542,-0.0049782,-0.0667318,0.0717058,0.031236,0.002256,-0.0011076,-0.013335,-0.0001094,-0.0651502,-0.0068938,0.01332,-0.0053124,-0.0062158,0.0028374,0.0019556,-5.04e-05,-0.0057066,-0.0115804,0.0144494,0.0048224,0.0126206,0.0028194,-0.003281
Portuguese:Portugal1,0.112685,0.14319,0.036581,-0.010013,0.046778,-0.007809,-0.0047,-0.000692,0.015135,0.041003,0.002598,0.015137,-0.010258,-0.011698,0.016829,0.003182,0.013951,-0.008868,0.00352,-0.006003,-0.008485,-0.005193,-0.005546,-0.003012,-0.008143
Portuguese:Portugal10,0.105855,0.142174,0.032055,-0.003553,0.038776,-0.010319,-0.00094,0.000692,0.030065,0.034078,-0.002273,0.009591,-0.014569,-0.012524,0.015608,0.002917,0.00326,-0.003674,-0.010307,0.007629,0.005615,-0.002844,0.007025,0.003253,-0.003952
Portuguese:Portugal11,0.112685,0.139128,0.045632,-0.000969,0.0397,0.00251,-0.00423,0.002769,0.036814,0.028976,0.001624,0.0109 4,-0.013974,-0.01445,0.012486,0.009016,0.014081,-0.005194,-0.008673,0.004877,-0.00025,-0.002226,0.001849,0.003494,-0.00467
Portuguese:Portugal12,0.100164,0.147252,0.035826,-0.008075,0.045239,-0.008925,-0.000705,-0.002077,0.023111,0.024055,0.007145,0.01154,-0.014271,0.000275,0.010858,-0.008353,0.006389,0.004054,-0.004525,0.002501,-0.001872,-0.001237,0.001972,-0.002048,0.007305
Portuguese:Portugal13,0.106994,0.147252,0.026021,-0.007106,0.041546,-0.001952,0.003995,-0.002077,0.028429,0.030069,0.000812,0.006744,-0.017988,-0.012799,0.020494,-0.002784,0.000913,-0.010008,-0.006034,-0.005503,0.000749,-0.002597,0.005053,-0.004097,0.004071
Portuguese:Portugal14,0.108132,0.142174,0.034695,-0.007429,0.050163,-0.014502,-0.00564,0.008307,0.02352,0.030798,-0.00341,0.008093,-0.012785,-0.020781,0.014658,0.013524,-0.007562,0.006714,-0.013073,-0.002876,-0.000624,0.000495,0.00037,-0.003012,0.006347
Portuguese:Portugal15,0.106994,0.137096,0.02489,-0.006137,0.039084,-0.008367,-0.002585,0.000692,0.028838,0.03098,0.00065,0.01288 9,-0.021407,-0.014726,0.019815,-0.003713,-0.009648,-0.000887,-0.003897,0.003752,0.002371,0.001855,-0.006655,0.000241,0.004311
Portuguese:Portugal2,0.114961,0.142174,0.04186,-0.000969,0.045855,0.001673,-0.008695,-0.000692,0.026588,0.027335,0,0.005845,-0.01115,-0.016515,0.011401,0.010077,0.00326,-0.00114,-0.004902,0.001501,-0.004492,-0.005688,0.006532,0.001205,-0.001197
Portuguese:Portugal3,0.103579,0.147252,0.048649,0. 006137,0.044316,-0.006414,-0.006345,0.004615,0.02577,0.02442,0.006333,0.00914 2,-0.015015,-0.023121,0.015472,-0.00358,-0.001956,-0.003294,-0.00352,0.003877,-0.006988,-0.005193,0.009244,-0.003133,-0.00467
Portuguese:Portugal4,0.100164,0.144205,0.030547,-0.009044,0.050779,-0.004462,-0.011751,0.003461,0.024952,0.037358,0,0.004946,-0.012487,-0.007294,-0.002443,0.013657,0.010691,-0.009882,-0.015838,0.001626,-0.002246,-0.010634,0.00949,-0.000723,0.004431
Portuguese:Portugal5,0.10927,0.148267,0.038466,-0.007429,0.036622,-0.003347,0.002585,0.008307,0.024543,0.023326,-0.007307,0.00015,-0.012042,-0.016102,0.020222,-0.002254,-0.001043,0.007981,-0.000754,0.015007,0.005241,0.009521,-0.010723,-0.001807,0.001796
Portuguese:Portugal6,0.097888,0.138112,0.036204,-0.007752,0.042469,-0.007251,-0.007755,0.007846,0.02986,0.018224,-0.009094,0.006744,-0.012487,-0.006606,0.011265,-0.008221,-0.002868,0.004687,-0.003645,-0.003877,0.005615,-0.004451,0.003328,0.006627,0.000838
Portuguese:Portugal7,0.113823,0.142174,0.040729,-0.009044,0.044624,-0.005299,0.001645,0.009923,0.015339,0.035354,-0.000812,0.01169,-0.019772,-0.008395,0.023208,0.000663,0.007302,0.009248,-0.006159,0.009379,0.004617,-0.002102,0.006162,0.002892,-0.007065
Portuguese:Portugal8,0.104717,0.147252,0.033941,0. 003876,0.048932,-0.002789,-0.005405,0.005538,0.027815,0.028793,-0.001461,0.005395,-0.016055,-0.005092,0.012351,-0.016176,-0.008475,-0.005321,-0.007668,-0.008254,0.007736,0.006059,-0.00419,0.001325,-0.003592
Portuguese:Portugal9,0.110408,0.153345,0.034695,-0.00646,0.038469,0.001116,-0.008225,-0.001385,0.021475,0.032256,-0.009743,0.010041,-0.011893,-0.007156,0.013165,-0.008618,-0.019036,0.004687,-0.004399,-0.001,0.014474,-0.004081,0.000493,-0.009278,-0.000718

Tsakhur
01-06-2021, 03:24 PM
Those are some large distances bro plus they are scoring Yoruba which doesn't make sense either.Could you run those samples with this model?

TON_2500BP,0.009675,-0.415859,-0.0499685,-0.0499035,0.1481815,0.061495,0.00047,-0.0080765,-0.0243385,-0.017039,0.0531825,0.0086925,-0.004683,-0.0128675,0.0129615,0.006099,-0.0083445,0.0033575,0.012947,-0.0086295,0.0023705,-0.024854,-0.0077645,-0.013255,-0.0644255
LAO_BA,0.002276,-0.380824,-0.079195,-0.03553,0.148643,0.06777,-0.00047,-0.013615,0.00409,-0.020593,0.082006,0.007643,-0.022002,0.005643,0.004614,-0.004375,0.000782,-0.001774,-0.006411,0.019509,-0.011854,0.014096,-0.008627,-0.005663,0.036643
LAO_Hoabinhian,-0.025041,-0.224432,-0.11917,0.087856,0.022466,-0.001952,-0.003055,0.01223,0.060539,0.018406,0.012829,0.0011 99,-0.000446,0.006055,-0.007872,-0.006364,-0.00352,-0.00076,-0.005531,0.023386,0.006988,0.013107,-0.017131,-0.001325,0.003712
LAO_LN_BA,0.005691,-0.40215,-0.083721,-0.034561,0.15049,0.078089,-0.002585,-0.012692,-0.006136,-0.018588,0.089801,0.004346,-0.012785,0.010184,0.003393,-0.005701,-0.002477,0.0019,-0.00088,0.026388,-0.016845,0.02201,-0.011955,0.001325,0.039038
Yemeni:Y221,0.045529,0.146236,-0.064111,-0.121449,-0.004924,-0.049364,-0.010105,-0.006231,0.05788,-0.002369,0.016401,-0.031172,0.056045,-0.011147,0.005972,0.021082,-0.002868,0.003294,0.001634,0.024762,0.013851,0.014 715,-0.012695,0.007712,-0.013172
Yemeni:Y092,0.036423,0.132019,-0.065619,-0.113374,-0.009848,-0.051316,-0.017156,-0.018692,0.056244,0.001276,0.012666,-0.030573,0.048612,0.002202,0.013165,0.021082,-0.026468,0.010769,0.001508,0.021385,0.012603,0.025 472,-0.009983,0.00964,-0.000359
Yemeni:Y517,0.048944,0.142174,-0.054305,-0.098515,-0.016311,-0.042112,-0.013396,-0.007384,0.043768,0.000182,0.01494,-0.014237,0.037908,0.005643,0.005157,0.020154,-0.014342,0.003167,0.002011,0.02051,0.004866,0.0096 45,0.001479,0.010604,-0.00455
Papuan:HGDP00540,-0.048944,-0.242712,-0.267756,0.312665,0.204654,-0.520131,-0.00188,0.007154,-0.039064,-0.009659,-0.020461,0.003147,-0.001784,-0.004679,0.000814,0.002784,0,-0.0019,0.000628,-0.003001,0.006489,-0.00136,0.000986,0.002771,0.002874
Papuan:HGDP00541,-0.045529,-0.241696,-0.257196,0.303944,0.207423,-0.497262,-0.000705,0.007615,-0.040496,-0.011116,-0.017213,-3e-04,0.004162,-0.004679,-0.000136,-0.000796,-0.000261,-0.001014,-0.004399,0.002376,0.000374,-0.000124,0.001849,0.006025,-0.001676
Papuan:HGDP00542,-0.044391,-0.24068,-0.261722,0.302006,0.200037,-0.503119,-0.00423,0.009,-0.037428,-0.013121,-0.017538,-0.00015,0.004906,-0.006881,0.000136,-0.001989,-0.00326,-0.004561,-0.004651,-0.000375,0.000873,0.004328,0.002095,0.001325,-0.003712
Papuan:HGDP00545,-0.044391,-0.239665,-0.267756,0.308789,0.208962,-0.504513,0.001645,0.007615,-0.041723,-0.014943,-0.017376,-0.001649,-0.003568,0.001239,0.001493,-0.000796,-0.002217,-0.001267,-0.000251,-0.003126,0.005241,0.00272,0.000739,-0.000482,0.000359
Papuan:HGDP00552,-0.046667,-0.24068,-0.264362,0.318803,0.213578,-0.52292,-0.0047,0.003692,-0.047654,-0.010934,-0.021922,0.003297,0.003271,-0.00055,-0.001493,-0.000796,-0.005215,-0.000507,0.003268,-0.003502,-0.001248,0.003462,0.000493,-0.000482,0.010179
Velamas:VELZ260,0.048944,-0.05687,-0.167442,0.106268,-0.084323,0.059683,-0.001645,0.010384,0.03211,0.018953,-0.006333,0.002548,-0.003717,0.003165,0.001357,0.001326,0.001565,0.004 687,0.005154,-0.007128,0.00549,-0.001484,0.002835,0.002289,-0.004071
Velamas:VELZ264,0.0387,-0.087336,-0.172721,0.112405,-0.076937,0.063866,0.00282,0.011999,0.046427,0.0304 33,0.004222,0.001948,-0.000446,0.010597,-0.011943,-0.008353,0.001434,-0.004814,0.004274,0.01013,-0.000125,0.000618,0.001109,0.001807,-0.000599
Velamas:VELZ267,0.042115,-0.074134,-0.172721,0.104976,-0.081246,0.061077,0.002585,0.015692,0.037837,0.025 695,-0.001299,0.002248,-0.001784,-0.001239,-0.005157,0.00358,0.016037,-0.003801,0.005279,-0.003126,0.012104,-0.000742,0.002095,0,-0.000479
Han:Chongqing,0.021247,-0.4525877,-0.012822,-0.0673993,0.0852467,0.0369993,0.0010967,-0.0020767,-0.017112,-0.0037053,-0.0481753,-0.0039463,0.010753,-0.0038077,-0.0048407,0.0005307,0.0009997,-0.0016047,0.0039803,-0.00692,0.0144327,0.0084083,0.0162277,0.0002007,0. 0048697
Han:Fujian,0.0188946,-0.4521136,-0.0145568,-0.0678946,0.0864776,0.0395466,0.002068,-0.0018924,-0.0146846,-0.0016766,-0.0510548,-0.0047356,0.0057682,-0.0093856,-0.0056188,-0.0015382,0.0022424,0.0015964,-0.0019862,-0.0136064,0.0172694,0.004773,0.0166632,0.003856,-0.0067058
Han:Guangdong,0.0191873,-0.452491,-0.0207956,-0.0709677,0.1010297,0.0476506,0.0002686,-0.0087359,-0.0151054,-0.0067167,-0.0306217,-0.0036181,0.0057764,-0.0040696,-0.004188,0.0026517,-0.0003353,0.0022441,-0.0006644,-0.0156684,0.0137256,0.0086554,0.0126241,0.0002066,-0.0026517
Han:Henan,0.0254964,-0.4441926,0.0088248,-0.0643416,0.0505322,0.020415,0.0067212,0.0033692,-0.0136212,0.0037906,-0.076355,-0.01142,0.0121306,-0.0083674,-0.0050218,0,0.0025556,-0.0011656,-0.0014832,-0.004377,0.0109056,0.0073698,0.0085288,-0.001687,-0.001868
Han:Hubei,0.0220816,-0.454551,-0.0059588,-0.067184,0.0749678,0.03224,0.000235,-0.0044306,-0.0137848,0.0022232,-0.0520616,-0.0056348,0.0087414,-0.0073766,-0.005293,0.000106,0.0019038,0.0009374,-0.004148,-0.0133564,0.0203392,0.0022008,0.0134092,-0.0006268,-0.005173
Han:Jiangsu,0.0224394,-0.454667,-0.0003771,-0.070091,0.0635283,0.0276101,0.0073186,9.9e-05,-0.0141997,0.0028116,-0.067948,-0.0075363,0.0111706,-0.0081396,-0.0075033,-0.000966,-0.0003351,0.0026064,-0.0038789,-0.0114161,0.0132981,0.005229,0.012712,-0.0009811,-0.0014713
Han:Shandong,0.0221324,-0.4486384,0.0053634,-0.0601139,0.051531,0.0212577,0.0061884,0.0004358,-0.0107261,0.0035638,-0.0734899,-0.0087422,0.0102906,-0.0087619,-0.0078416,-4.4e-05,0.0014342,0.0013372,-0.0012011,-0.0084486,0.0109669,0.0066084,0.0116127,0.0010577,-0.0004924
Han:Shanghai,0.029594,-0.447341,-0.001697,-0.069445,0.0584725,0.0326305,0.0036425,0.002423,-0.015135,-0.0035535,-0.076079,-0.015511,0.0113725,-0.002546,-0.0036645,0.0077565,0.0038465,0.0043705,0.0046505,-0.0170705,0.0165335,0.00779,0.011955,-0.0030725,-0.005149
Han:Shanxi,0.0257524,-0.4395974,0.0116908,-0.0601184,0.0473551,0.0175701,0.0066389,0.001846,-0.0100984,0.0051936,-0.0747391,-0.0083924,0.0102761,-0.0079308,-0.006752,-0.000464,0.0010756,-0.0004434,-0.0053107,-0.0069721,0.0087502,0.0105878,0.0123094,0.0024401, 0.0014221
Han:Sichuan,0.0198376,-0.4481384,-0.0072191,-0.0669994,0.0771573,0.0334269,0.0019807,-0.0053403,-0.0132647,0.0003644,-0.0533564,-0.0100197,0.0100026,-0.0074121,-0.0077361,-0.0008144,0.0011921,-0.0007057,-0.003717,-0.0058243,0.0112301,0.0063063,0.0116909,0.0002239, 0.0024806
Han:12,0.0216262,-0.4547542,-0.0049782,-0.0667318,0.0717058,0.031236,0.002256,-0.0011076,-0.013335,-0.0001094,-0.0651502,-0.0068938,0.01332,-0.0053124,-0.0062158,0.0028374,0.0019556,-5.04e-05,-0.0057066,-0.0115804,0.0144494,0.0048224,0.0126206,0.0028194,-0.003281
Portuguese:Portugal1,0.112685,0.14319,0.036581,-0.010013,0.046778,-0.007809,-0.0047,-0.000692,0.015135,0.041003,0.002598,0.015137,-0.010258,-0.011698,0.016829,0.003182,0.013951,-0.008868,0.00352,-0.006003,-0.008485,-0.005193,-0.005546,-0.003012,-0.008143
Portuguese:Portugal10,0.105855,0.142174,0.032055,-0.003553,0.038776,-0.010319,-0.00094,0.000692,0.030065,0.034078,-0.002273,0.009591,-0.014569,-0.012524,0.015608,0.002917,0.00326,-0.003674,-0.010307,0.007629,0.005615,-0.002844,0.007025,0.003253,-0.003952
Portuguese:Portugal11,0.112685,0.139128,0.045632,-0.000969,0.0397,0.00251,-0.00423,0.002769,0.036814,0.028976,0.001624,0.0109 4,-0.013974,-0.01445,0.012486,0.009016,0.014081,-0.005194,-0.008673,0.004877,-0.00025,-0.002226,0.001849,0.003494,-0.00467
Portuguese:Portugal12,0.100164,0.147252,0.035826,-0.008075,0.045239,-0.008925,-0.000705,-0.002077,0.023111,0.024055,0.007145,0.01154,-0.014271,0.000275,0.010858,-0.008353,0.006389,0.004054,-0.004525,0.002501,-0.001872,-0.001237,0.001972,-0.002048,0.007305
Portuguese:Portugal13,0.106994,0.147252,0.026021,-0.007106,0.041546,-0.001952,0.003995,-0.002077,0.028429,0.030069,0.000812,0.006744,-0.017988,-0.012799,0.020494,-0.002784,0.000913,-0.010008,-0.006034,-0.005503,0.000749,-0.002597,0.005053,-0.004097,0.004071
Portuguese:Portugal14,0.108132,0.142174,0.034695,-0.007429,0.050163,-0.014502,-0.00564,0.008307,0.02352,0.030798,-0.00341,0.008093,-0.012785,-0.020781,0.014658,0.013524,-0.007562,0.006714,-0.013073,-0.002876,-0.000624,0.000495,0.00037,-0.003012,0.006347
Portuguese:Portugal15,0.106994,0.137096,0.02489,-0.006137,0.039084,-0.008367,-0.002585,0.000692,0.028838,0.03098,0.00065,0.01288 9,-0.021407,-0.014726,0.019815,-0.003713,-0.009648,-0.000887,-0.003897,0.003752,0.002371,0.001855,-0.006655,0.000241,0.004311
Portuguese:Portugal2,0.114961,0.142174,0.04186,-0.000969,0.045855,0.001673,-0.008695,-0.000692,0.026588,0.027335,0,0.005845,-0.01115,-0.016515,0.011401,0.010077,0.00326,-0.00114,-0.004902,0.001501,-0.004492,-0.005688,0.006532,0.001205,-0.001197
Portuguese:Portugal3,0.103579,0.147252,0.048649,0. 006137,0.044316,-0.006414,-0.006345,0.004615,0.02577,0.02442,0.006333,0.00914 2,-0.015015,-0.023121,0.015472,-0.00358,-0.001956,-0.003294,-0.00352,0.003877,-0.006988,-0.005193,0.009244,-0.003133,-0.00467
Portuguese:Portugal4,0.100164,0.144205,0.030547,-0.009044,0.050779,-0.004462,-0.011751,0.003461,0.024952,0.037358,0,0.004946,-0.012487,-0.007294,-0.002443,0.013657,0.010691,-0.009882,-0.015838,0.001626,-0.002246,-0.010634,0.00949,-0.000723,0.004431
Portuguese:Portugal5,0.10927,0.148267,0.038466,-0.007429,0.036622,-0.003347,0.002585,0.008307,0.024543,0.023326,-0.007307,0.00015,-0.012042,-0.016102,0.020222,-0.002254,-0.001043,0.007981,-0.000754,0.015007,0.005241,0.009521,-0.010723,-0.001807,0.001796
Portuguese:Portugal6,0.097888,0.138112,0.036204,-0.007752,0.042469,-0.007251,-0.007755,0.007846,0.02986,0.018224,-0.009094,0.006744,-0.012487,-0.006606,0.011265,-0.008221,-0.002868,0.004687,-0.003645,-0.003877,0.005615,-0.004451,0.003328,0.006627,0.000838
Portuguese:Portugal7,0.113823,0.142174,0.040729,-0.009044,0.044624,-0.005299,0.001645,0.009923,0.015339,0.035354,-0.000812,0.01169,-0.019772,-0.008395,0.023208,0.000663,0.007302,0.009248,-0.006159,0.009379,0.004617,-0.002102,0.006162,0.002892,-0.007065
Portuguese:Portugal8,0.104717,0.147252,0.033941,0. 003876,0.048932,-0.002789,-0.005405,0.005538,0.027815,0.028793,-0.001461,0.005395,-0.016055,-0.005092,0.012351,-0.016176,-0.008475,-0.005321,-0.007668,-0.008254,0.007736,0.006059,-0.00419,0.001325,-0.003592
Portuguese:Portugal9,0.110408,0.153345,0.034695,-0.00646,0.038469,0.001116,-0.008225,-0.001385,0.021475,0.032256,-0.009743,0.010041,-0.011893,-0.007156,0.013165,-0.008618,-0.019036,0.004687,-0.004399,-0.001,0.014474,-0.004081,0.000493,-0.009278,-0.000718


I think those PuntDNAL Global K13 distances are normal because this is when the distance gets really bad:

Target: Spaniard
Distance: 2009.0950% / 20.09094965
83.4 German_North
16.6 Saudi

Compare the distance of the Spaniard model to the Luzon (Philippines):

Target: Luzon (individuals from Luzon, Philippines)
Distance: 265.5520% / 2.65551953
75.2 Murut (tribal Austronesian group from Borneo)
18.8 Han_South_China
6.0 Igorot (Austronesian tribal pop from Philippines)

The Luzon model at distance of 2.65 fits much better than the Spaniard at 20.9 distance.

Yes Yoruba doesn't make sense to me. It could be part of the algorithm or some calculator effect. Or maybe it comes from their Yemeni side if they have actual Arab ancestry? Not sure.

The thing is all of those are kits of Gedmatch users and none have done G25 yet. So maybe I will have to ask or persuade them to do G25.

okarinaofsteiner
01-08-2021, 07:18 AM
I think those PuntDNAL Global K13 distances are normal because this is when the distance gets really bad:

Target: Spaniard
Distance: 2009.0950% / 20.09094965
83.4 German_North
16.6 Saudi

Compare the distance of the Spaniard model to the Luzon (Philippines):

Target: Luzon (individuals from Luzon, Philippines)
Distance: 265.5520% / 2.65551953
75.2 Murut (tribal Austronesian group from Borneo)
18.8 Han_South_China
6.0 Igorot (Austronesian tribal pop from Philippines)

The Luzon model at distance of 2.65 fits much better than the Spaniard at 20.9 distance.

Yes Yoruba doesn't make sense to me. It could be part of the algorithm or some calculator effect. Or maybe it comes from their Yemeni side if they have actual Arab ancestry? Not sure.

The thing is all of those are kits of Gedmatch users and none have done G25 yet. So maybe I will have to ask or persuade them to do G25.

I emailed the person who does G25 coordinates last week, they aren't accepting data samples until Feb 1st at the earliest.

Tsakhur
01-08-2021, 01:09 PM
I emailed the person who does G25 coordinates last week, they aren't accepting data samples until Feb 1st at the earliest.

Is that person Davidski? Have you ever done G25 yet?

I want to do it in the future when I have time.

It would be great if we can have more East/SE Asian G25 users. It seems most G25 users are primarily of European and MENA descent.

Most East Asian and SE Asian DNA testers don't seem to know or heard of G25.