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Filipina/Guamanian Gedmatch results. Rather atypical. Their Caucasoid is mostly Indian-related not Spanish

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Qamzardaan
(@qamzardaan)
Posts: 487
Reputable Member
Topic starter
 

@Jajapinay @josh @easy772 @Shazouzu @Selurong 

So there are two Pinay results here. One of them is from Guam but I think she is Filipina in origins while the other one I am not really sure but based on her name and results, methinks she is Pinay. I will no longer post the pics on here (because Google will cached the images if I forget to take the pictures down ) so please PM me if you want to see them (Unfortunately don't have the pics of the second individual) Also if you want their gedmatch kits, please PM me as well.

Their results seem to be atypical and rather outliers among people of Philippine origin. They seem to have actual South Asian ancestry and their West Eurasian admix is also rather Indian-related than European-related.

1. Guamanian of Filipina origins. I speculate this because there is suggestion that her family is originally from Zamboanga in Mindanao, Southern Philippines.

HarappaWorld

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

Her nMonte result based on her HarappaWorld score: 19% Bonda, approx 8% West Eurasian (mostly Iran Neo-related)

[1] "distance%=1.4311"

dai,57.4
bonda,18.9
han,13.6
makrani,7.5
papuan,2.2
lithuanian,0.3
surui,0.1
iban,0
yoruba1,0
saudi,0

PuntDNA Global K13

Admix Results (sorted):

# Population Percent
1 SE_Asia 46.89
2 NE_Asia 27.99
3 South_Asia 13.91
4 West_Asia 2.87
5 Oceania 2.81
6 NE_Europe 1.59
7 West_Africa 1.21
8 South_Africa 1.08
9 SW_Asia 0.75
10 SW_Europe 0.46
11 Americas 0.44

Single Population Sharing:

# Population (source) Distance
1 Cambodian 5.59
2 Malayan 8.99
3 Visayan 14.91
4 Thai 15.49
5 Filipino 16.89
6 Luzon 18.81
7 Dusun 23.15
8 Vietnamese 24.22
9 Dai 24.51
10 Murut 24.65
11 Lahu 29.77
12 Burmese 31.31
13 Miaozu 40.23
14 Han_South_China 45.06
15 She 45.36
16 Igorot 47.67
17 Naxi 50.46
18 Afghan_Hazara 53.7
19 Han_North_China 56.42
20 Xibo 57.31

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 88.5% Malayan + 11.5% Burusho @ 4.07
2 89.2% Malayan + 10.8% Kashmir_Pandit @ 4.38
3 88.8% Malayan + 11.2% Bengali @ 4.39
4 88% Malayan + 12% Afghan_Uzbeki @ 4.44
5 89.6% Malayan + 10.4% Punjabi @ 4.52
6 89.6% Malayan + 10.4% Sindhi @ 4.55
7 89.6% Malayan + 10.4% Tamil_Nadu_Brahmin @ 4.55
8 71.2% Cambodian + 28.8% Malayan @ 4.64
9 82% Cambodian + 18% Visayan @ 4.64
10 93.9% Cambodian + 6.1% Igorot @ 4.67
11 84.3% Cambodian + 15.7% Filipino @ 4.7
12 89.5% Malayan + 10.5% Pathan @ 4.71
13 76.3% Thai + 23.7% Igorot @ 4.73
14 90% Malayan + 10% UP_Muslim @ 4.73
15 96.1% Cambodian + 3.9% Assyrian @ 4.74
16 96.2% Cambodian + 3.8% Armenian @ 4.75
17 87.5% Malayan + 12.5% Afghan_Hazara @ 4.77
18 96% Cambodian + 4% Kurdish @ 4.77
19 96.3% Cambodian + 3.7% Turkish_Trabzon @ 4.77
20 89.6% Malayan + 10.4% Pakistan_Pashtun @ 4.77

Here is the nMonte model of her PuntDNA Global K13 result: Here she is around 9% AASI and 8% West Eurasian (most/all seem to be South Asian-related)

[1] "distance%=1.2298"

Murut,45.6
Dai,34.6
Simulated_AASI,8.8
Makrani,5.8
Papuan,1.8
Lithuanian,1.6
Yoruba,1.2
Saudi,0.6
Han_South_China,0
Iranian,0

Another nMonte model for her Global K13 score: Here she score slightly less Caucasoid (around 7.5%)

[1] "distance%=0.7129"

Luzon,70.7
Simulated_AASI,9.8
Han_South_China,9.3
Makrani,5.7
Lithuanian,1.4
Yoruba,1
San,1
Papuan,0.6
Surui,0.3
Saudi,0.2
Dinka,0
Spaniard,0

2. Pinay. Don't know where in the Philippines she originally came from. Maybe Mindanao where it is closer to Indonesia and Malaysia is more likely to have Indian influence. Or maybe she has origins from Cainta in Luzon where Sepoy Indians were settled there after the mutiny.

HarappaWorld

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

Her nMonte result based on the HarappaWorld score: 15% Bonda, 5% West Eurasian (seem to be all Iran Neolithic/Makrani-related)

[1] "distance%=0.9158"

dai,66.9
bonda,15.3
han,9.9
makrani,5.1
papuan,2.7
lithuanian,0.1
iban,0
yoruba1,0
saudi,0
iranian2,0
surui,0
basque,0

PuntDNA Global K13

Admix Results (sorted):

# Population Percent
1 SE_Asia 51.66
2 NE_Asia 27.78
3 South_Asia 11.06
4 Oceania 3.63
5 West_Asia 3.43
6 SW_Asia 1.6
7 South_Africa 0.64
8 East_Africa 0.2

Single Population Sharing:

# Population (source) Distance
1 Malayan 4.61
2 Cambodian 9.32
3 Visayan 10.01
4 Filipino 11.87
5 Luzon 13.74
6 Dusun 18.08
7 Thai 19.65
8 Murut 19.72
9 Dai 25
10 Vietnamese 25.81
11 Lahu 31.74
12 Burmese 34.91
13 Miaozu 42.22
14 Igorot 42.98
15 Han_South_China 47.09
16 She 47.31
17 Naxi 53.29
18 Afghan_Hazara 57.6
19 Han_North_China 59.05
20 Xibo 60.15

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 94.7% Malayan + 5.3% Makrani @ 2.37
2 94.8% Malayan + 5.2% Brahui @ 2.4
3 94.8% Malayan + 5.2% Balochi @ 2.44
4 94.7% Malayan + 5.3% Pathan @ 2.49
5 95% Malayan + 5% Iranian @ 2.55
6 94.7% Malayan + 5.3% Afghan_Pashtun @ 2.58
7 94.1% Malayan + 5.9% Afghan_Uzbeki @ 2.59
8 94.8% Malayan + 5.2% Pakistan_Pashtun @ 2.61
9 94.9% Malayan + 5.1% Sindhi @ 2.64
10 95.1% Malayan + 4.9% Kurdish @ 2.64
11 94.6% Malayan + 5.4% Burusho @ 2.66
12 95% Malayan + 5% Dagestan_Azeri @ 2.68
13 95% Malayan + 5% Punjabi @ 2.72
14 94.7% Malayan + 5.3% Tadjik @ 2.73
15 95.3% Malayan + 4.7% Abkhasian @ 2.74
16 95.1% Malayan + 4.9% Azerbaijan_Azeri @ 2.75
17 95.1% Malayan + 4.9% Ossetian @ 2.77
18 95.2% Malayan + 4.8% Adygei @ 2.82
19 95.3% Malayan + 4.7% Chechen @ 2.85
20 95% Malayan + 5% Kashmir_Pandit @ 2.85

Her nMonte result based on her Global K13 score: 7% AASI and 7% West Eurasian (mostly Iran Neo/Makrani+Saudi)

[1] "distance%=0.9378"

Luzon,75.6
Dai,8.9
Simulated_AASI,6.6
Makrani,5.4
Saudi,1.9
Papuan,1.1
San,0.5
Yoruba,0
Dinka,0
Surui,0
Spaniard,0
Han_South_China,0
Lithuanian,0

What do you think? Opinions?

 
Posted : 25/10/2019 7:05 pm
Osricpearl reacted
Qamzardaan
(@qamzardaan)
Posts: 487
Reputable Member
Topic starter
 

Here are their MDLP K16 results. They can be modelled as mostly Filipino+various South Asian groups. The first one's family seem to come from Zamboanga while I am not sure about the other one. Makes me wonder could they also have ancestry from Cainta, Rizal.

1. Filipina-Guamanian:

Admix Results (sorted):

# Population Percent
1 SouthEastAsian 72.98
2 Indian 12.18
3 Siberian 5.25
4 Oceanic 4
5 Caucasian 2
6 Australian 1.24
7 EastAfrican 1.12
8 NorthEastEuropean 0.87
9 Amerindian 0.35

Single Population Sharing:

# Population (source) Distance
1 Thai (Thailand) 3.8
2 Cambodian (Cambodia) 6.26
3 Vizayan (Borneo) 8.66
4 Lebbo (Borneo) 11.27
5 Filipino (Philippines) 11.62
6 Vietnamese (NorthVietnam) 11.96
7 Vietnamese (CentralVietnam) 12.24
8 Bajo (Indonesia) 12.24
9 Dusun (Borneo) 12.89
10 Lahu (Yunnan) 13.66
11 Luzon (Philippines) 14.03
12 Vietnamese (SouthVietnam) 14.05
13 Murut (Borneo) 15.1
14 Batak (Philippines) 15.46
15 Kinh (Vietnam) 15.49
16 Garo (Meghalaya) 15.56
17 Miao (Guizhou) 15.84
18 Han (China) 15.95
19 She (Zhejiang) 16.21
20 Tujia (Hubei) 16.27

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.9% Dusun (Borneo) + 19.1% Brahmin (Uttaranchal) @ 2.1
2 77.9% Dusun (Borneo) + 22.1% Great_Andamanese (Andaman_Islands) @ 2.25
3 68.1% Dusun (Borneo) + 31.9% Khasi (Meghalaya) @ 2.26
4 79.6% Luzon (Philippines) + 20.4% Brahmin (Uttaranchal) @ 2.31
5 66.2% Luzon (Philippines) + 33.8% Khasi (Meghalaya) @ 2.38
6 70.2% Igorot (Philippines) + 29.8% Great_Andamanese (Andaman_Islands) @ 2.41
7 85.6% Filipino (Philippines) + 14.4% Paniya (Kerala) @ 2.46
8 84.4% Filipino (Philippines) + 15.6% Asur (Jharkhand) @ 2.46
9 82.8% Filipino (Philippines) + 17.2% Dhurwa (Orissa) @ 2.46
10 84.8% Filipino (Philippines) + 15.2% Brahmin (Madhya_Pradesh) @ 2.47
11 79.9% Filipino (Philippines) + 20.1% Bonda (Malkangiri ) @ 2.47
12 85.1% Filipino (Philippines) + 14.9% Nihali (Madhya_Pradesh) @ 2.48
13 84% Filipino (Philippines) + 16% Sahariya (Madhya_Pradesh) @ 2.49
14 79.6% Filipino (Philippines) + 20.4% Juang (Odisha) @ 2.5
15 81.5% Filipino (Philippines) + 18.5% Kharia (Bihar) @ 2.5
16 58.8% Igorot (Philippines) + 41.2% Khasi (Meghalaya) @ 2.51
17 86.7% Filipino (Philippines) + 13.3% Chamar (Uttar_Pradesh) @ 2.52
18 86.7% Filipino (Philippines) + 13.3% Sakilli (Tamil_Nadu) @ 2.52
19 86.6% Filipino (Philippines) + 13.4% Hakkipikki (Karnataka) @ 2.53
20 81.5% Filipino (Philippines) + 18.5% Munda (Tripura) @ 2.53

Compare with the second Filipina:

 

Admix Results (sorted):

# Population Percent
1 SouthEastAsian 78.18
2 Indian 10.68
3 Oceanic 3.71
4 Siberian 2.48
5 NearEast 0.96
6 EastAfrican 0.84
7 Arctic 0.83
8 Neolithic 0.69
9 Australian 0.59
10 Ancestor 0.58
11 Steppe 0.29
12 NorthEastEuropean 0.18

Single Population Sharing:

# Population (source) Distance
1 Cambodian (Cambodia) 4.01
2 Thai (Thailand) 5.59
3 Vizayan (Borneo) 6.52
4 Lebbo (Borneo) 7.09
5 Dusun (Borneo) 7.96
6 Filipino (Philippines) 8.38
7 Luzon (Philippines) 9.14
8 Vietnamese (CentralVietnam) 9.49
9 Murut (Borneo) 9.68
10 Vietnamese (NorthVietnam) 9.72
11 Vietnamese (SouthVietnam) 10.37
12 Lahu (Yunnan) 10.67
13 Kinh (Vietnam) 10.79
14 Bajo (Indonesia) 13.77
15 Dai (Xishuangbanna) 13.92
16 She (Zhejiang) 14.02
17 Miao (Guizhou) 14.11
18 Igorot (Philippines) 14.3
19 Han (China) 14.92
20 Ami (Taiwan) 15.82

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82% Igorot (Philippines) + 18% Santhal (Jharkhand) @ 1.38
2 85.1% Murut (Borneo) + 14.9% Munda (Tripura) @ 1.4
3 87% Murut (Borneo) + 13% Sahariya (Madhya_Pradesh) @ 1.41
4 88.4% Murut (Borneo) + 11.6% Malayan (Andhra_Pradesh) @ 1.49
5 84.7% Murut (Borneo) + 15.3% Gadaba (Odisha) @ 1.49
6 88.5% Murut (Borneo) + 11.5% Pulliyar (Kerala) @ 1.5
7 86.3% Murut (Borneo) + 13.7% Bhunjia (Odisha) @ 1.5
8 82.2% Igorot (Philippines) + 17.8% Asur (Jharkhand) @ 1.51
9 83.9% Murut (Borneo) + 16.1% Bonda (Malkangiri ) @ 1.51
10 83% Igorot (Philippines) + 17% Nihali (Madhya_Pradesh) @ 1.52
11 88.3% Murut (Borneo) + 11.7% Paniya (Kerala) @ 1.52
12 80.9% Igorot (Philippines) + 19.1% Bhunjia (Odisha) @ 1.53
13 89.1% Murut (Borneo) + 10.9% Bhil (Maharashtra) @ 1.53
14 78.9% Igorot (Philippines) + 21.1% Gadaba (Odisha) @ 1.53
15 88.3% Murut (Borneo) + 11.7% Chenchu (Andhra_Pradesh) @ 1.54
16 85.1% Murut (Borneo) + 14.9% Kharia (Bihar) @ 1.54
17 87.9% Murut (Borneo) + 12.1% Nihali (Madhya_Pradesh) @ 1.54
18 86.1% Murut (Borneo) + 13.9% Dhurwa (Orissa) @ 1.54
19 79.3% Igorot (Philippines) + 20.7% Kharia (Bihar) @ 1.54
20 83.7% Igorot (Philippines) + 16.3% Malayan (Andhra_Pradesh) @ 1.56

 
Posted : 25/10/2019 7:19 pm
Qamzardaan
(@qamzardaan)
Posts: 487
Reputable Member
Topic starter
 

Here are their MDLP K23b results. 

The Filipina-Guamanian

Admix Results (sorted):

# Population Percent
1 Austronesian 44.12
2 South_East_Asian 26.95
3 South_Indian 14.91
4 Tungus-Altaic 5.52
5 South_Central_Asian 2.83
6 Melano_Polynesian 2.14
7 Australoid 1.03
8 European_Hunters_Gatherers 0.91
9 Archaic_African 0.7
10 Caucasian 0.6
11 Archaic_Human 0.28
12 Amerindian 0.01

Single Population Sharing:

# Population (source) Distance
1 Batak_Karo ( ) 4.88
2 Batak_Toba ( ) 6.28
3 Malay_Malasia ( ) 6.66
4 Malay_Singapore ( ) 7.93
5 Temuan ( ) 12.14
6 Sunda ( ) 12.98
7 Agta_AG ( ) 13.27
8 Malay ( ) 13.45
9 Dayak ( ) 13.8
10 Javanese ( ) 14.17
11 Chabakano ( ) 14.19
12 Iraya ( ) 14.22
13 Mlabri ( ) 14.27
14 Filipino ( ) 14.53
15 Mentawai ( ) 14.53
16 Ati ( ) 15
17 Jehai ( ) 15.21
18 Tagalog ( ) 15.63
19 Thai ( ) 15.77
20 Jagoi ( ) 15.83

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 85.2% Filipino ( ) + 14.8% Madiga ( ) @ 1.86
2 84.9% Filipino ( ) + 15.1% Mala ( ) @ 1.87
3 84.7% Filipino ( ) + 15.3% Kurumba ( ) @ 1.92
4 85% Filipino ( ) + 15% TN_Dalit ( ) @ 1.93
5 84.5% Filipino ( ) + 15.5% Chamar ( ) @ 1.95
6 82.8% Filipino ( ) + 17.2% Satnami ( ) @ 1.97
7 84.7% Filipino ( ) + 15.3% Sakilli ( ) @ 2
8 85.2% Filipino ( ) + 14.8% Hallaki ( ) @ 2.04
9 84.6% Filipino ( ) + 15.4% Hakkipikki ( ) @ 2.06
10 82.8% Filipino ( ) + 17.2% Gond ( ) @ 2.08
11 84.2% Filipino ( ) + 15.8% Vishwabrahmin ( ) @ 2.14
12 84.1% Filipino ( ) + 15.9% Chenchu ( ) @ 2.18
13 84.2% Filipino ( ) + 15.8% Bhil ( ) @ 2.19
14 84.4% Filipino ( ) + 15.6% Kamsali ( ) @ 2.23
15 84.4% Filipino ( ) + 15.6% Nihali ( ) @ 2.29
16 84.3% Filipino ( ) + 15.7% Kol ( ) @ 2.3
17 82.9% Filipino ( ) + 17.1% Tharu ( ) @ 2.31
18 82.9% Mentawai ( ) + 17.1% Tharu ( ) @ 2.34
19 84.7% Mentawai ( ) + 15.3% Hakkipikki ( ) @ 2.34
20 84.2% Mentawai ( ) + 15.8% Bhil ( ) @ 2.36

Compare her result with another Pinay

Admix Results (sorted):

# Population Percent
1 Austronesian 48.91
2 South_East_Asian 27.33
3 South_Indian 10.49
4 Tungus-Altaic 4.58
5 Melano_Polynesian 3.75
6 South_Central_Asian 1.93
7 Near_East 0.79
8 European_Hunters_Gatherers 0.7
9 Archaic_African 0.46
10 Khoisan 0.4
11 Australoid 0.33
12 Archaic_Human 0.16
13 Arctic 0.13
14 European_Early_Farmers 0.04

Single Population Sharing:

# Population (source) Distance
1 Batak_Toba ( ) 4.93
2 Batak_Karo ( ) 5.84
3 Malay ( ) 8.69
4 Mentawai ( ) 8.75
5 Chabakano ( ) 9.06
6 Dayak ( ) 9.09
7 Filipino ( ) 9.4
8 Iraya ( ) 9.75
9 Malay_Singapore ( ) 9.8
10 Manobo ( ) 10.11
11 Toraja ( ) 10.52
12 Tagalog ( ) 10.67
13 Sunda ( ) 10.91
14 Malay_Malasia ( ) 11.01
15 Javanese ( ) 12.48
16 Mlabri ( ) 12.84
17 Jagoi ( ) 13.03
18 Temuan ( ) 13.23
19 Agta_AG ( ) 13.26
20 Ilocano ( ) 13.62

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 91.4% Mentawai ( ) + 8.6% Madiga ( ) @ 2.72
2 90.1% Mentawai ( ) + 9.9% Satnami ( ) @ 2.78
3 91% Mentawai ( ) + 9% Kamsali ( ) @ 2.78
4 90.9% Mentawai ( ) + 9.1% Vishwabrahmin ( ) @ 2.81
5 90.1% Mentawai ( ) + 9.9% Tharu ( ) @ 2.81
6 91.2% Mentawai ( ) + 8.8% Kurumba ( ) @ 2.81
7 91.3% Mentawai ( ) + 8.7% Mala ( ) @ 2.82
8 91.2% Mentawai ( ) + 8.8% Sakilli ( ) @ 2.82
9 90.9% Mentawai ( ) + 9.1% Bhil ( ) @ 2.83
10 91.1% Mentawai ( ) + 8.9% Chamar ( ) @ 2.83
11 91.2% Mentawai ( ) + 8.8% Hakkipikki ( ) @ 2.83
12 91.4% Mentawai ( ) + 8.6% TN_Dalit ( ) @ 2.83
13 90.9% Mentawai ( ) + 9.1% Kol ( ) @ 2.84
14 90.8% Mentawai ( ) + 9.2% Scheduled_Caste_Tamil_Nadu ( ) @ 2.86
15 91.5% Mentawai ( ) + 8.5% Hallaki ( ) @ 2.86
16 90.7% Mentawai ( ) + 9.3% Dusadh ( ) @ 2.88
17 90.4% Mentawai ( ) + 9.6% Bhili ( ) @ 2.89
18 90.9% Mentawai ( ) + 9.1% Chenchu ( ) @ 2.91
19 90.1% Mentawai ( ) + 9.9% Gond ( ) @ 2.92
20 91% Mentawai ( ) + 9% Vysya ( ) @ 2.92

 
Posted : 25/10/2019 7:32 pm
Qamzardaan
(@qamzardaan)
Posts: 487
Reputable Member
Topic starter
 

@SailorNeptune @Jajapinay 

 

Opinions?

 
Posted : 25/10/2019 10:34 pm
Rene B. Sarabia Jr
(@selurong)
Posts: 977
Noble Member
 
Posted by: @qamzardaan

Here are their MDLP K23b results. 

The Filipina-Guamanian

Admix Results (sorted):

# Population Percent
1 Austronesian 44.12
2 South_East_Asian 26.95
3 South_Indian 14.91
4 Tungus-Altaic 5.52
5 South_Central_Asian 2.83
6 Melano_Polynesian 2.14
7 Australoid 1.03
8 European_Hunters_Gatherers 0.91
9 Archaic_African 0.7
10 Caucasian 0.6
11 Archaic_Human 0.28
12 Amerindian 0.01

Single Population Sharing:

# Population (source) Distance
1 Batak_Karo ( ) 4.88
2 Batak_Toba ( ) 6.28
3 Malay_Malasia ( ) 6.66
4 Malay_Singapore ( ) 7.93
5 Temuan ( ) 12.14
6 Sunda ( ) 12.98
7 Agta_AG ( ) 13.27
8 Malay ( ) 13.45
9 Dayak ( ) 13.8
10 Javanese ( ) 14.17
11 Chabakano ( ) 14.19
12 Iraya ( ) 14.22
13 Mlabri ( ) 14.27
14 Filipino ( ) 14.53
15 Mentawai ( ) 14.53
16 Ati ( ) 15
17 Jehai ( ) 15.21
18 Tagalog ( ) 15.63
19 Thai ( ) 15.77
20 Jagoi ( ) 15.83

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 85.2% Filipino ( ) + 14.8% Madiga ( ) @ 1.86
2 84.9% Filipino ( ) + 15.1% Mala ( ) @ 1.87
3 84.7% Filipino ( ) + 15.3% Kurumba ( ) @ 1.92
4 85% Filipino ( ) + 15% TN_Dalit ( ) @ 1.93
5 84.5% Filipino ( ) + 15.5% Chamar ( ) @ 1.95
6 82.8% Filipino ( ) + 17.2% Satnami ( ) @ 1.97
7 84.7% Filipino ( ) + 15.3% Sakilli ( ) @ 2
8 85.2% Filipino ( ) + 14.8% Hallaki ( ) @ 2.04
9 84.6% Filipino ( ) + 15.4% Hakkipikki ( ) @ 2.06
10 82.8% Filipino ( ) + 17.2% Gond ( ) @ 2.08
11 84.2% Filipino ( ) + 15.8% Vishwabrahmin ( ) @ 2.14
12 84.1% Filipino ( ) + 15.9% Chenchu ( ) @ 2.18
13 84.2% Filipino ( ) + 15.8% Bhil ( ) @ 2.19
14 84.4% Filipino ( ) + 15.6% Kamsali ( ) @ 2.23
15 84.4% Filipino ( ) + 15.6% Nihali ( ) @ 2.29
16 84.3% Filipino ( ) + 15.7% Kol ( ) @ 2.3
17 82.9% Filipino ( ) + 17.1% Tharu ( ) @ 2.31
18 82.9% Mentawai ( ) + 17.1% Tharu ( ) @ 2.34
19 84.7% Mentawai ( ) + 15.3% Hakkipikki ( ) @ 2.34
20 84.2% Mentawai ( ) + 15.8% Bhil ( ) @ 2.36

Compare her result with another Pinay

Admix Results (sorted):

# Population Percent
1 Austronesian 48.91
2 South_East_Asian 27.33
3 South_Indian 10.49
4 Tungus-Altaic 4.58
5 Melano_Polynesian 3.75
6 South_Central_Asian 1.93
7 Near_East 0.79
8 European_Hunters_Gatherers 0.7
9 Archaic_African 0.46
10 Khoisan 0.4
11 Australoid 0.33
12 Archaic_Human 0.16
13 Arctic 0.13
14 European_Early_Farmers 0.04

Single Population Sharing:

# Population (source) Distance
1 Batak_Toba ( ) 4.93
2 Batak_Karo ( ) 5.84
3 Malay ( ) 8.69
4 Mentawai ( ) 8.75
5 Chabakano ( ) 9.06
6 Dayak ( ) 9.09
7 Filipino ( ) 9.4
8 Iraya ( ) 9.75
9 Malay_Singapore ( ) 9.8
10 Manobo ( ) 10.11
11 Toraja ( ) 10.52
12 Tagalog ( ) 10.67
13 Sunda ( ) 10.91
14 Malay_Malasia ( ) 11.01
15 Javanese ( ) 12.48
16 Mlabri ( ) 12.84
17 Jagoi ( ) 13.03
18 Temuan ( ) 13.23
19 Agta_AG ( ) 13.26
20 Ilocano ( ) 13.62

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 91.4% Mentawai ( ) + 8.6% Madiga ( ) @ 2.72
2 90.1% Mentawai ( ) + 9.9% Satnami ( ) @ 2.78
3 91% Mentawai ( ) + 9% Kamsali ( ) @ 2.78
4 90.9% Mentawai ( ) + 9.1% Vishwabrahmin ( ) @ 2.81
5 90.1% Mentawai ( ) + 9.9% Tharu ( ) @ 2.81
6 91.2% Mentawai ( ) + 8.8% Kurumba ( ) @ 2.81
7 91.3% Mentawai ( ) + 8.7% Mala ( ) @ 2.82
8 91.2% Mentawai ( ) + 8.8% Sakilli ( ) @ 2.82
9 90.9% Mentawai ( ) + 9.1% Bhil ( ) @ 2.83
10 91.1% Mentawai ( ) + 8.9% Chamar ( ) @ 2.83
11 91.2% Mentawai ( ) + 8.8% Hakkipikki ( ) @ 2.83
12 91.4% Mentawai ( ) + 8.6% TN_Dalit ( ) @ 2.83
13 90.9% Mentawai ( ) + 9.1% Kol ( ) @ 2.84
14 90.8% Mentawai ( ) + 9.2% Scheduled_Caste_Tamil_Nadu ( ) @ 2.86
15 91.5% Mentawai ( ) + 8.5% Hallaki ( ) @ 2.86
16 90.7% Mentawai ( ) + 9.3% Dusadh ( ) @ 2.88
17 90.4% Mentawai ( ) + 9.6% Bhili ( ) @ 2.89
18 90.9% Mentawai ( ) + 9.1% Chenchu ( ) @ 2.91
19 90.1% Mentawai ( ) + 9.9% Gond ( ) @ 2.92
20 91% Mentawai ( ) + 9% Vysya ( ) @ 2.92

It is so strange how the Filipinas have large Indian (South Asian) ancestors but no Native American. I have seen in 23andme that Filipinos have Native American due to Spanish colonisation from Mexico. How come this is the result? Does different Genetic Companies calculate different percentages based on their algorithm? I have seen Jajapinay have different analysis results when using different companies.

 
Posted : 26/10/2019 4:09 am
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