Maguzanci
01-28-2020, 06:34 AM
Do not have his 23andme but his gedmatch results. His lastname seems rather uncommon but it peaks in the Philippines. He is also likely originally from Morong, Rizal based on the facebook of his relatives.
Here are his pics: Please DO NOT QUOTE:
https://i.imgur.com/03Ot5CA.jpg
https://i.imgur.com/ReHlEiX.jpg
https://i.imgur.com/kSlEAY4.jpg
https://i.imgur.com/rgpPrx3.jpg
https://i.imgur.com/WAiMlE9.jpg
https://i.imgur.com/dAhp68q.jpg
https://i.imgur.com/GkUDHzp.jpg
https://i.imgur.com/w1M16Fi.jpg
https://i.imgur.com/1W5cjOE.jpg
https://i.imgur.com/y9FDkl6.jpg
Overall his Caucasoid ancestry is different from most Filipinos; it seem to be either NE Euro-like or Gedrosian/Balochi-related rather than Iberian which makes his result fairly unique and noteworthy.
PuntDNAL K13: He seems around 7% Caucasoid here with the rest being Mongoloid, 3% Oceanian and 3% South Asian (probably Ancestral South Indian related but might hide some Caucasoid as well). Surprisingly, he can also be modelled as 90-91% Luzon/Filipino+ 9-10% Caucasoid (mostly East Euro and Balkan).
Admix Results (sorted):
# Population Percent
1 SE_Asia 55.02
2 NE_Asia 29
3 NE_Europe 4.22
4 Oceania 3.56
5 South_Asia 3.45
6 SW_Asia 1.77
7 East_Africa 1.47
8 West_Asia 1.06
9 West_Africa 0.44
Single Population Sharing:
# Population (source) Distance
1 Filipino 7.58
2 Visayan 8.1
3 Malayan 8.32
4 Luzon 9.16
5 Dusun 14.81
6 Cambodian 15.33
7 Murut 16.76
8 Thai 24.39
9 Dai 24.49
10 Vietnamese 26.76
11 Lahu 32.57
12 Burmese 38.09
13 Igorot 39.73
14 Miaozu 42.56
15 Han_South_China 47.32
16 She 47.51
17 Naxi 54.51
18 Han_North_China 59.82
19 Afghan_Hazara 60.71
20 Xibo 61.32
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 89.4% Luzon + 10.6% Tatar @ 3.75
2 89.9% Luzon + 10.1% Chuvash @ 3.84
3 90% Luzon + 10% Aluet @ 3.99
4 90.8% Luzon + 9.2% Mordovian @ 4.04
5 90.9% Luzon + 9.1% Russian @ 4.05
6 91.4% Luzon + 8.6% Finnish @ 4.11
7 90.4% Luzon + 9.6% Moldavian @ 4.17
8 91.2% Luzon + 8.8% Polish @ 4.21
9 91% Luzon + 9% Belarusian @ 4.21
10 90.8% Luzon + 9.2% Ukrainian @ 4.22
11 90.7% Luzon + 9.3% Slovak @ 4.23
12 91.4% Luzon + 8.6% Latvian @ 4.26
13 91.4% Luzon + 8.6% Estonian @ 4.29
14 90.7% Luzon + 9.3% Slovene @ 4.29
15 91.4% Luzon + 8.6% Lithuanian @ 4.29
16 90.6% Luzon + 9.4% Bosnian @ 4.35
17 90.4% Luzon + 9.6% Romanian @ 4.38
18 91% Luzon + 9% German_North @ 4.4
19 90.8% Luzon + 9.2% Hungarian @ 4.4
20 89% Luzon + 11% Afghan_Uzbeki @ 4.41
His Vahaduo Gedmatch results of PuntDNA K13: looks like he is around 8% Caucasoid (Lithuanian+Saudi) here with the rest being Mongoloid and Australoid/SSA. Looks like he has minor Han Chinese ancestry as well based on this model
Distance: 2.1935% / 2.19353413
85.2 Luzon
5.4 Lithuanian
4.4 Han_South_China
2.6 Saudi
1.0 Papuan
0.6 Yoruba
0.4 Simulated_AASI
0.4 Murut
MDLP World: He is around 9% Caucasoid, 3% Indian/South Asian (seem mostly ASI related but could also contain some Caucasoid), 4% Australoid and 2% African here. Because there is a lack of Philipino populations, Dai or Lahu are substituted; its interesting that he is modelled as mostly Dai/Lahu+South-Central Asian pops like Makrani/Balochi/Brahui, Pashtun, Tadjik, Turkmen, Hazara, Uzbek, etc.
Admix Results (sorted):
# Population Percent
1 East_Asian 81.07
2 Caucaus_Parsia 5.63
3 Melanesian 3.76
4 Indian 3.49
5 North_and_East_European 2.88
6 Paleo_African 1.92
7 Middle_East 0.6
8 Sub_Saharian 0.41
9 North_Asian 0.24
10 South_and_West_European 0.01
Single Population Sharing:
# Population (source) Distance
1 Indian-East 9.97
2 Khmer 11.65
3 Indian_East 12.58
4 Naxi 12.97
5 Yizu 13.25
6 Tu 13.56
7 Han-Beijing 14.71
8 Han 14.85
9 Japanese 16.01
10 Buma 16.07
11 Dai 16.29
12 Lahu 16.34
13 Tujia 16.46
14 Chinese-South 17.18
15 Miaozu 18.27
16 She 18.73
17 Xibo 23.83
18 Mongola 31.57
19 Daur 36.5
20 Hezhen 36.88
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 83.7% Dai + 16.3% Tadjik @ 4.5
2 83.7% Lahu + 16.3% Tadjik @ 4.53
3 84.4% Dai + 15.6% Pashtun @ 4.74
4 84.3% Lahu + 15.7% Pashtun @ 4.75
5 84.5% Lahu + 15.5% Pathan @ 5.01
6 84.5% Dai + 15.5% Pathan @ 5.03
7 84.7% Dai + 15.3% Makrani @ 5.06
8 84.7% Lahu + 15.3% Makrani @ 5.06
9 82.2% Dai + 17.8% Turkmen @ 5.07
10 82.1% Lahu + 17.9% Turkmen @ 5.1
11 84.8% Lahu + 15.2% Balochi @ 5.19
12 83.8% Lahu + 16.2% Burusho @ 5.2
13 84.9% Dai + 15.1% Balochi @ 5.2
14 83.9% Dai + 16.1% Burusho @ 5.22
15 80.2% Dai + 19.8% Uzbek @ 5.32
16 78.5% Dai + 21.5% Hazara @ 5.32
17 85.1% Dai + 14.9% Brahui @ 5.32
18 85.1% Lahu + 14.9% Brahui @ 5.32
19 78.5% Lahu + 21.5% Hazara @ 5.35
20 80.2% Lahu + 19.8% Uzbek @ 5.35
His Vahaduo Gedmatch results for MDLP World: surprisingly, he ends up being around 12-13% Caucasoid (probably the highest he scored in all gedmatch calcs although Makrani could contain minor ASI), 3% Papuan and 2% African (Mbuti). He is only around 83% Mongoloid here while he is like almost 5-7% points more Mong in other calcs
Distance: 1.5738% / 1.57382407
71.8 Dai
11.2 Chinese-South
10.2 Makrani
2.8 Papuan
2.4 Latvian
1.6 Mbuti_Pygmies
HarappaWorld: He is around 6% Caucasoid here with the rest being Mongoloid, 3% Oceanian, 3% South Indian (mostly Ancestral South Indian related but might contain minor Caucasoid) and 1% African. He is mostly modelled as Kinh+North Indian populations or Singaporean Malay+significant South Chinese populations (probably resemble Philipinos the most)
Admix Results (sorted):
# Population Percent
1 SE-Asian 57.83
2 NE-Asian 28.95
3 Papuan 3.4
4 Baloch 2.82
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
His Vahaduo results based on Eurogenes K13: He seems to have around 11% Chinese admix here, 7% Caucasoid (Makrani+Basque+Lithuanian), 3% Papuan, 3% Bonda (representing South Asian) and 1% African (Anuak)
Distance: 1.0154% / 1.01539623
72.2 dai
10.6 han_chinese_south
4.4 makrani
3.6 vietnamese
3.2 bonda
3.0 papuan
1.2 basque
1.0 lithuanian
0.8 anuak
His West Eurasian ancestry seems to be unique than most Filipinos as it seem to be mostly either NE Euro (Lithuanian) or Gedrosian/Iran Neolithic (Makrani/Brahui). He doesn't score much Spanish.
Here are his pics: Please DO NOT QUOTE:
https://i.imgur.com/03Ot5CA.jpg
https://i.imgur.com/ReHlEiX.jpg
https://i.imgur.com/kSlEAY4.jpg
https://i.imgur.com/rgpPrx3.jpg
https://i.imgur.com/WAiMlE9.jpg
https://i.imgur.com/dAhp68q.jpg
https://i.imgur.com/GkUDHzp.jpg
https://i.imgur.com/w1M16Fi.jpg
https://i.imgur.com/1W5cjOE.jpg
https://i.imgur.com/y9FDkl6.jpg
Overall his Caucasoid ancestry is different from most Filipinos; it seem to be either NE Euro-like or Gedrosian/Balochi-related rather than Iberian which makes his result fairly unique and noteworthy.
PuntDNAL K13: He seems around 7% Caucasoid here with the rest being Mongoloid, 3% Oceanian and 3% South Asian (probably Ancestral South Indian related but might hide some Caucasoid as well). Surprisingly, he can also be modelled as 90-91% Luzon/Filipino+ 9-10% Caucasoid (mostly East Euro and Balkan).
Admix Results (sorted):
# Population Percent
1 SE_Asia 55.02
2 NE_Asia 29
3 NE_Europe 4.22
4 Oceania 3.56
5 South_Asia 3.45
6 SW_Asia 1.77
7 East_Africa 1.47
8 West_Asia 1.06
9 West_Africa 0.44
Single Population Sharing:
# Population (source) Distance
1 Filipino 7.58
2 Visayan 8.1
3 Malayan 8.32
4 Luzon 9.16
5 Dusun 14.81
6 Cambodian 15.33
7 Murut 16.76
8 Thai 24.39
9 Dai 24.49
10 Vietnamese 26.76
11 Lahu 32.57
12 Burmese 38.09
13 Igorot 39.73
14 Miaozu 42.56
15 Han_South_China 47.32
16 She 47.51
17 Naxi 54.51
18 Han_North_China 59.82
19 Afghan_Hazara 60.71
20 Xibo 61.32
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 89.4% Luzon + 10.6% Tatar @ 3.75
2 89.9% Luzon + 10.1% Chuvash @ 3.84
3 90% Luzon + 10% Aluet @ 3.99
4 90.8% Luzon + 9.2% Mordovian @ 4.04
5 90.9% Luzon + 9.1% Russian @ 4.05
6 91.4% Luzon + 8.6% Finnish @ 4.11
7 90.4% Luzon + 9.6% Moldavian @ 4.17
8 91.2% Luzon + 8.8% Polish @ 4.21
9 91% Luzon + 9% Belarusian @ 4.21
10 90.8% Luzon + 9.2% Ukrainian @ 4.22
11 90.7% Luzon + 9.3% Slovak @ 4.23
12 91.4% Luzon + 8.6% Latvian @ 4.26
13 91.4% Luzon + 8.6% Estonian @ 4.29
14 90.7% Luzon + 9.3% Slovene @ 4.29
15 91.4% Luzon + 8.6% Lithuanian @ 4.29
16 90.6% Luzon + 9.4% Bosnian @ 4.35
17 90.4% Luzon + 9.6% Romanian @ 4.38
18 91% Luzon + 9% German_North @ 4.4
19 90.8% Luzon + 9.2% Hungarian @ 4.4
20 89% Luzon + 11% Afghan_Uzbeki @ 4.41
His Vahaduo Gedmatch results of PuntDNA K13: looks like he is around 8% Caucasoid (Lithuanian+Saudi) here with the rest being Mongoloid and Australoid/SSA. Looks like he has minor Han Chinese ancestry as well based on this model
Distance: 2.1935% / 2.19353413
85.2 Luzon
5.4 Lithuanian
4.4 Han_South_China
2.6 Saudi
1.0 Papuan
0.6 Yoruba
0.4 Simulated_AASI
0.4 Murut
MDLP World: He is around 9% Caucasoid, 3% Indian/South Asian (seem mostly ASI related but could also contain some Caucasoid), 4% Australoid and 2% African here. Because there is a lack of Philipino populations, Dai or Lahu are substituted; its interesting that he is modelled as mostly Dai/Lahu+South-Central Asian pops like Makrani/Balochi/Brahui, Pashtun, Tadjik, Turkmen, Hazara, Uzbek, etc.
Admix Results (sorted):
# Population Percent
1 East_Asian 81.07
2 Caucaus_Parsia 5.63
3 Melanesian 3.76
4 Indian 3.49
5 North_and_East_European 2.88
6 Paleo_African 1.92
7 Middle_East 0.6
8 Sub_Saharian 0.41
9 North_Asian 0.24
10 South_and_West_European 0.01
Single Population Sharing:
# Population (source) Distance
1 Indian-East 9.97
2 Khmer 11.65
3 Indian_East 12.58
4 Naxi 12.97
5 Yizu 13.25
6 Tu 13.56
7 Han-Beijing 14.71
8 Han 14.85
9 Japanese 16.01
10 Buma 16.07
11 Dai 16.29
12 Lahu 16.34
13 Tujia 16.46
14 Chinese-South 17.18
15 Miaozu 18.27
16 She 18.73
17 Xibo 23.83
18 Mongola 31.57
19 Daur 36.5
20 Hezhen 36.88
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 83.7% Dai + 16.3% Tadjik @ 4.5
2 83.7% Lahu + 16.3% Tadjik @ 4.53
3 84.4% Dai + 15.6% Pashtun @ 4.74
4 84.3% Lahu + 15.7% Pashtun @ 4.75
5 84.5% Lahu + 15.5% Pathan @ 5.01
6 84.5% Dai + 15.5% Pathan @ 5.03
7 84.7% Dai + 15.3% Makrani @ 5.06
8 84.7% Lahu + 15.3% Makrani @ 5.06
9 82.2% Dai + 17.8% Turkmen @ 5.07
10 82.1% Lahu + 17.9% Turkmen @ 5.1
11 84.8% Lahu + 15.2% Balochi @ 5.19
12 83.8% Lahu + 16.2% Burusho @ 5.2
13 84.9% Dai + 15.1% Balochi @ 5.2
14 83.9% Dai + 16.1% Burusho @ 5.22
15 80.2% Dai + 19.8% Uzbek @ 5.32
16 78.5% Dai + 21.5% Hazara @ 5.32
17 85.1% Dai + 14.9% Brahui @ 5.32
18 85.1% Lahu + 14.9% Brahui @ 5.32
19 78.5% Lahu + 21.5% Hazara @ 5.35
20 80.2% Lahu + 19.8% Uzbek @ 5.35
His Vahaduo Gedmatch results for MDLP World: surprisingly, he ends up being around 12-13% Caucasoid (probably the highest he scored in all gedmatch calcs although Makrani could contain minor ASI), 3% Papuan and 2% African (Mbuti). He is only around 83% Mongoloid here while he is like almost 5-7% points more Mong in other calcs
Distance: 1.5738% / 1.57382407
71.8 Dai
11.2 Chinese-South
10.2 Makrani
2.8 Papuan
2.4 Latvian
1.6 Mbuti_Pygmies
HarappaWorld: He is around 6% Caucasoid here with the rest being Mongoloid, 3% Oceanian, 3% South Indian (mostly Ancestral South Indian related but might contain minor Caucasoid) and 1% African. He is mostly modelled as Kinh+North Indian populations or Singaporean Malay+significant South Chinese populations (probably resemble Philipinos the most)
Admix Results (sorted):
# Population Percent
1 SE-Asian 57.83
2 NE-Asian 28.95
3 Papuan 3.4
4 Baloch 2.82
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
His Vahaduo results based on Eurogenes K13: He seems to have around 11% Chinese admix here, 7% Caucasoid (Makrani+Basque+Lithuanian), 3% Papuan, 3% Bonda (representing South Asian) and 1% African (Anuak)
Distance: 1.0154% / 1.01539623
72.2 dai
10.6 han_chinese_south
4.4 makrani
3.6 vietnamese
3.2 bonda
3.0 papuan
1.2 basque
1.0 lithuanian
0.8 anuak
His West Eurasian ancestry seems to be unique than most Filipinos as it seem to be mostly either NE Euro (Lithuanian) or Gedrosian/Iran Neolithic (Makrani/Brahui). He doesn't score much Spanish.