7
Lol at getting 77% English as a first result The multiple populations approximation is pretty sh@t for me (3 and 4 populations).
Admix Results (sorted):
# Population Percent
1 NE_Europe 40.58
2 SW_Europe 33.45
3 West_Asia 15.21
4 SW_Asia 5.67
5 NE_Asia 2.13
6 South_Africa 1.09
7 SE_Asia 0.81
8 Siberia 0.75
9 South_Asia 0.22
10 West_Africa 0.07
Single Population Sharing:
# Population (source) Distance
1 Bosnian 3.9
2 Serbian 4.07
3 Croatian 4.85
4 Moldavian 5.61
5 Montenegrin 6.43
6 Hungarian 6.75
7 Slovene 7.31
8 Romanian 7.73
9 German_South 8.08
10 Macedonian 8.73
11 Slovak 8.79
12 Bulgarian 9.05
13 French 9.16
14 Belgian 9.26
15 English 9.68
16 Scottish 10.4
17 Orcadian 10.99
18 Irish 11.24
19 Utahn_European 11.61
20 German_North 12.17
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 77% English + 23% Turkish_Aydin @ 2.1
2 88% Croatian + 12% Nogay @ 2.18
3 91.8% Croatian + 8.2% Afghan_Hazara @ 2.31
4 74.7% Orcadian + 25.3% Turkish_Aydin @ 2.32
5 77.6% Belgian + 22.4% Kumyk @ 2.38
6 76% Utahn_European + 24% Turkish_Kayseri @ 2.41
7 79.3% English + 20.7% Turkish_Kayseri @ 2.42
8 96.4% Bosnian + 3.6% Naxi @ 2.42
9 74.2% Irish + 25.8% Turkish_Aydin @ 2.44
10 96.3% Bosnian + 3.7% Xibo @ 2.44
11 75.1% Irish + 24.9% Turkish @ 2.45
12 77.9% English + 22.1% Turkish @ 2.45
13 76.7% Irish + 23.3% Turkish_Kayseri @ 2.46
14 74.4% Utahn_European + 25.6% Turkish @ 2.47
15 96.6% Bosnian + 3.4% Han_North_China @ 2.47
16 96.5% Bosnian + 3.5% Han_South_China @ 2.47
17 96% Bosnian + 4% Burmese @ 2.47
18 96.6% Bosnian + 3.4% Korean @ 2.48
19 90.5% Croatian + 9.5% Afghan_Uzbeki @ 2.48
20 96.4% Bosnian + 3.6% Miaozu @ 2.48
Using 2 populations approximation:
1 50% Albanian +50% Ukrainian @ 3.313112
Using 3 populations approximation:
1 50% English +25% Turkish_Aydin +25% Utahn_European @ 2.155394
Using 4 populations approximation:
1 French + Norwegian + Orcadian + Turkish_Aydin @ 2.122946
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