Basal-rich K7 seems to be the most conclusive test to date for ancient, Global 10 for modern.
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Basal-rich K7 seems to be the most conclusive test to date for ancient, Global 10 for modern.
puntDNAL K15:
Admix Results (sorted):
# Population Percent
1 E_Asian 81.58
2 S_Indian 7.31
3 Oceanian 3.87
4 Caucasian 1.57
5 NE_European 1.48
6 Mediterranean 1.39
7 Amerindian 1.16
8 W_African 0.47
9 Beringian 0.45
10 Horn_Of_Africa 0.3
11 Wht_Nile_River 0.22
12 S_African 0.2
Single Population Sharing:
# Population (source) Distance
1 Vietnamese 5
2 Thai 7.62
3 Chinese 11.42
4 Cambodian 12.44
5 Japanese 18.43
6 Burmese 21.58
7 Mongolian 45.25
8 Hazara 52.59
9 Uyghur 54.1
10 Turkmen 67
11 Koryak 68.63
12 Uzbek 74.54
13 Nogai 76.34
14 Bashkir 78.13
15 Tadjik 80.24
16 Romani 82.88
17 Burusho 84.1
18 Tatar 85.73
19 Turk_Aydin 86.17
20 Yemeni 86.77
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 60.1% Cambodian + 39.9% Japanese @ 2.98
2 95.9% Vietnamese + 4.1% Greek_Thessaly @ 3.12
3 95.8% Vietnamese + 4.2% Greek_Central @ 3.13
4 95.9% Vietnamese + 4.1% Romanian @ 3.13
5 95.5% Vietnamese + 4.5% Romani @ 3.14
6 95.9% Vietnamese + 4.1% Bulgarian @ 3.14
7 95.9% Vietnamese + 4.1% Chechen @ 3.16
8 96% Vietnamese + 4% Lezgin @ 3.16
9 95.9% Vietnamese + 4.1% Greek_Athens @ 3.17
10 96% Vietnamese + 4% Serbian @ 3.17
11 96% Vietnamese + 4% Tuscan @ 3.17
12 95.9% Vietnamese + 4.1% Mexican @ 3.2
13 95.8% Vietnamese + 4.2% Balkar @ 3.2
14 95.9% Vietnamese + 4.1% Ashkenazy_Jew @ 3.2
15 96.1% Vietnamese + 3.9% Italian @ 3.22
16 95.9% Vietnamese + 4.1% North_Ossetian @ 3.22
17 96% Vietnamese + 4% Sicillian @ 3.23
18 96.2% Vietnamese + 3.8% Slovenian @ 3.23
19 96.2% Vietnamese + 3.8% French @ 3.23
20 95.9% Vietnamese + 4.1% Kumyk @ 3.23
PuntDNAL K12 Modern
87.3%NE_Bantu+12.7%Somali_Benadiri@3.572
92.4%NE_Bantu+7.6%Bengali_Muslim@3.963
93.2%NE_Bantu+6.8%Paniya@3.99492.7%NE_Bantu+7.3%Ta mil_Nadu@4.025
92.6%NE_Bantu+7.4%Keralam@4.046
93.1%NE_Bantu+6.9%Hakkipikki@4.057
92.7%NE_Bantu+7.3%Gujarati@4.218
92.5%NE_Bantu+7.5%UP_Muslim@4.289
92.5%NE_Bantu+7.5%Punjabi_Jatt_Muslim@4.3510
92.6%NE_Bantu+7.4%Kashmir@4.451192.7%NE_Bantu+7.3% Sindhi@4.541292.6%NE_Bantu+7.4%Punjabi_Jatt_Sikh@4 .5613
92.6%NE_Bantu+7.4%Haryana_Jatt@4.5814
84.9%NE_Bantu+15.1%Somali@4.6115
92.6%NE_Bantu+7.4%Burusho@4.6516
85.8%NE_Bantu+14.2%Oromo@4.651787.3%NE_Bantu+12.7% Ethiopian@4.7118
77.8%Esan+22.2%Somali_Benadiri@4.7419
91.1%NE_Bantu+8.9%Yemeni@4.7620
92.8%NE_Bantu+7.2%Pathan@4.8
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The other post wasnt clear) but PuntDNAL K12 moderns my fave :)https://uploads.tapatalk-cdn.com/201...97c6b01daa.jpg
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Still V3, all the way
V3 is not very accurate for me when it comes to Single Population Sharing:Quote:
Originally Posted by Hamlet
Admix Results (sorted):
# Population Percent
1 West_European 42.83
2 East_European 28.7
3 Mediterranean 18.9
4 West_Asian 8.77
5 South_Asian 0.44
6 Southwest_Asian 0.31
7 East_African 0.05
Single Population Sharing:
# Population (source) Distance
1 Slovenian (Xing) 7.86
2 Hungarians (Behar) 8.24
3 German (Dodecad) 14.35
4 Polish (Dodecad) 16.85
5 Mixed_Slav (Dodecad) 17.26
6 FIN (1000Genomes) 17.95
7 N._European (Xing) 19.63
8 Argyll (1000 Genomes) 19.74
9 CEU (HapMap) 19.78
10 Balkans (Dodecad) 20.02
11 Orcadian (HGDP) 20.72
12 Orkney (1000 Genomes) 20.87
13 Finnish (Dodecad) 20.91
14 Russian (Dodecad) 22.37
15 Romanians_14 (Behar) 24.09
16 Russian (HGDP) 25.75
17 Swedish (Dodecad) 26.01
18 Mixed_Germanic (Dodecad) 26.19
19 French (Dodecad) 27.3
20 French (HGDP) 27.67
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 60.4% Mixed_Slav (Dodecad) + 39.6% Mixed_Germanic (Dodecad) @ 2.15
2 53.4% Mixed_Slav (Dodecad) + 46.6% Argyll (1000 Genomes) @ 2.33
3 53.3% Mixed_Slav (Dodecad) + 46.7% N._European (Xing) @ 2.53
4 62% Mixed_Slav (Dodecad) + 38% Dutch (Dodecad) @ 2.7
5 54.7% Mixed_Slav (Dodecad) + 45.3% Orcadian (HGDP) @ 2.74
6 53.5% Mixed_Slav (Dodecad) + 46.5% CEU (HapMap) @ 2.75
7 54.8% Mixed_Slav (Dodecad) + 45.2% Orkney (1000 Genomes) @ 2.79
8 54.7% German (Dodecad) + 45.3% Mixed_Slav (Dodecad) @ 2.82
9 63.6% Mixed_Slav (Dodecad) + 36.4% Kent (1000 Genomes) @ 2.92
10 65.4% Mixed_Slav (Dodecad) + 34.6% Cornwall (1000 Genomes) @ 3.13
11 61.1% Polish (Dodecad) + 38.9% Mixed_Germanic (Dodecad) @ 3.14
12 52.1% Mixed_Germanic (Dodecad) + 47.9% Belorussian (Behar) @ 3.19
13 64.9% Mixed_Slav (Dodecad) + 35.1% British (Dodecad) @ 3.32
14 53.1% CEU (HapMap) + 46.9% Russian (Dodecad) @ 3.33
15 53.9% Polish (Dodecad) + 46.1% N._European (Xing) @ 3.35
16 59.4% N._European (Xing) + 40.6% Belorussian (Behar) @ 3.36
17 59.3% Argyll (1000 Genomes) + 40.7% Belorussian (Behar) @ 3.37
18 54.1% Polish (Dodecad) + 45.9% Argyll (1000 Genomes) @ 3.42
19 64.5% Mixed_Slav (Dodecad) + 35.5% British_Isles (Dodecad) @ 3.42
20 74.5% Slovenian (Xing) + 25.5% Finnish (Dodecad) @ 3.49
MDLP. They're all fun to try out, but MDLP is better for the north east corner of Europe.
MDLP and all of the Eurogene's versions
K13
My Sperm is the best genetic admixture calculator. It makes good looking offspring, lol.