Tags
Tab Item Content
Join Us!
Archives Meta
Gedmatch results of...
 
Notifications
Clear all

Gedmatch results of a Filipino-American (Does not have his 23andme results)

23 Posts
4 Users
12 Likes
2,627 Views
Qamzardaan
(@qamzardaan)
Posts: 487
Reputable Member
Topic starter
 

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.

His pics: Please DO NOT QUOTE

Spoiler

[IMG] [/IMG]

[IMG] [/IMG]

[IMG] [/IMG]

[IMG] [/IMG]

[IMG] [/IMG]

[IMG] [/IMG]

[IMG] [/IMG]

[IMG] [/IMG]

[IMG] [/IMG]

[IMG] [/IMG]

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:

Spoiler

# 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:
Spoiler

# 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:

Spoiler

# 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:

Spoiler

# 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:

Spoiler

# 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:

Spoiler

# 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.

 
Posted : 28/01/2020 8:53 am
Eli-Edralin avatar
(@sukangiloko)
Posts: 299
Reputable Member
 

My guess it that he could be scoring those Eastern Euro and Central Asian results because those groups are pulled closer to Mongols genetically.

Like on the MyHeritage update, I scored 1.1% Finnish which IMO is incorrect and is just representing Spanish admix.. And on some Gedmatch calcs I also got those type of results in my Oracle breakdown as well.

Btw, if you have time, can you let me know if you ever find a Filipino gedmatch result with over 10%+ Oceanian/Papuan admix?.. Cos I found one of those results before but I lost and deleted it by accident..

 
Posted : 28/01/2020 1:25 pm
Qamzardaan reacted
Eli-Edralin avatar
(@sukangiloko)
Posts: 299
Reputable Member
 

What does he score on the **puntDNAL K12 Modern** calc??

 
Posted : 28/01/2020 1:28 pm
Qamzardaan reacted
Eli-Edralin avatar
(@sukangiloko)
Posts: 299
Reputable Member
 

I believe NE-Euro is a fairly modern component in contemporary European population genetics. You can see in this chart that Spaniards have it depending on how the particular calculator models the admixture:

 
Posted : 28/01/2020 1:59 pm
Qamzardaan reacted
Eli-Edralin avatar
(@sukangiloko)
Posts: 299
Reputable Member
 

Edit: Correction-- I believe NE Euro on some gedmatch calcs could also be representing the NW-Euro component I mean

 
Posted : 28/01/2020 3:37 pm
Qamzardaan reacted
Page 1 / 5