Universe Myheritage result

[Scandal]

Dude, post Eurogenes K13, K15, Dodecad K12b and MDLP K23b when you can.

Eurogenes K13 Oracle results:
K13 Oracle ref data revised 21 Nov 2013

Kit ------

Admix Results (sorted):

# Population Percent
1 Baltic 39.52
2 North_Atlantic 28.69
3 East_Med 13.02
4 West_Med 11.43
5 West_Asian 3.62
6 Red_Sea 2.3
7 Northeast_African 0.72
8 Siberian 0.48
9 Oceanian 0.23

Single Population Sharing:

# Population (source) Distance
1 Croatian 6.67
2 South_Polish 7.3
3 Ukrainian_Lviv 7.92
4 Ukrainian 8.11
5 Hungarian 8.88
6 Moldavian 9.44
7 Polish 9.96
8 Southwest_Russian 10.45
9 Ukrainian_Belgorod 11.41
10 Estonian_Polish 11.68
11 Russian_Smolensk 11.71
12 Belorussian 11.78
13 East_German 12.12
14 Austrian 12.79
15 Serbian 12.83
16 Southwest_Finnish 15.13
17 Kargopol_Russian 15.43
18 Estonian 16.1
19 Finnish 16.5
20 Lithuanian 16.7

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 78.8% Belorussian + 21.2% Italian_Jewish @ 2.95
2 72.7% Belorussian + 27.3% Tuscan @ 3.05
3 75% Belorussian + 25% West_Sicilian @ 3.05
4 79% Belorussian + 21% Algerian_Jewish @ 3.37
5 75.6% Belorussian + 24.4% Ashkenazi @ 3.41
6 79% Belorussian + 21% Sephardic_Jewish @ 3.42
7 80.2% Belorussian + 19.8% Tunisian_Jewish @ 3.7
8 77.3% Belorussian + 22.7% South_Italian @ 3.7
9 74.6% Belorussian + 25.4% Italian_Abruzzo @ 3.71
10 70.5% Belorussian + 29.5% Greek_Thessaly @ 3.73
11 75.7% Belorussian + 24.3% East_Sicilian @ 3.76
12 52.4% Belorussian + 47.6% Serbian @ 3.79
13 80.3% Belorussian + 19.7% Libyan_Jewish @ 3.79
14 73.3% Estonian_Polish + 26.7% Tuscan @ 3.81
15 79.3% Estonian_Polish + 20.7% Italian_Jewish @ 3.82
16 73% Estonian + 27% Italian_Jewish @ 3.89
17 90.7% South_Polish + 9.3% Yemenite_Jewish @ 3.9
18 69.1% Estonian + 30.9% Ashkenazi @ 3.96
19 75.6% Estonian_Polish + 24.4% West_Sicilian @ 3.97
20 72.2% Lithuanian + 27.8% Italian_Jewish @ 3.99

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++
1 Belorussian + Belorussian + Estonian + Italian_Jewish @ 3.418521
2 Belorussian + Belorussian + Belorussian + West_Sicilian @ 3.479896
3 Ashkenazi + Belorussian + Belorussian + Southwest_Finnish @ 3.497374
4 Belorussian + Estonian + Estonian + Italian_Jewish @ 3.522189
5 Belorussian + Estonian + Italian_Jewish + Lithuanian @ 3.526333
6 Belorussian + Italian_Jewish + Lithuanian + Southwest_Finnish @ 3.563020
7 Italian_Jewish + Lithuanian + Lithuanian + Southwest_Finnish @ 3.591995
8 Ashkenazi + Belorussian + Estonian_Polish + Southwest_Finnish @ 3.636382
9 Belorussian + Belorussian + Belorussian + Tuscan @ 3.651316
10 Belorussian + Estonian + Estonian_Polish + Italian_Jewish @ 3.706444
11 Ashkenazi + Belorussian + Estonian + Polish @ 3.744903
12 Estonian + Estonian + Estonian_Polish + Italian_Jewish @ 3.752038
13 Estonian_Polish + Italian_Jewish + Lithuanian + Southwest_Finnish @ 3.755471
14 Ashkenazi + Belorussian + Belorussian + Estonian @ 3.756194
15 Ashkenazi + Belorussian + Lithuanian + Southwest_Finnish @ 3.765453
16 Belorussian + Belorussian + Estonian_Polish + West_Sicilian @ 3.780466
17 Algerian_Jewish + Belorussian + Lithuanian + Southwest_Finnish @ 3.797657
18 Estonian + Estonian_Polish + Italian_Jewish + Lithuanian @ 3.825926
19 Ashkenazi + Estonian_Polish + Estonian_Polish + Southwest_Finnish @ 3.843541
20 Belorussian + Belorussian + Italian_Jewish + Lithuanian @ 3.848663

Done.

Elapsed time 0.8704 seconds.

[Scandal]

Eurogenes EUtest V2 K15 Oracle results:
Kit ------

Admix Results (sorted):

# Population Percent
1 Baltic 23.39
2 North_Sea 21.78
3 Atlantic 16.63
4 Eastern_Euro 16.38
5 East_Med 9.64
6 West_Med 7.66
7 West_Asian 2.69
8 Red_Sea 1.44
9 Northeast_African 0.38

Single Population Sharing:

# Population (source) Distance
1 Croatian 6.01
2 Hungarian 6.22
3 South_Polish 7.15
4 Ukrainian_Lviv 7.3
5 Ukrainian 7.57
6 Moldavian 7.75
7 Austrian 8.6
8 Polish 8.95
9 East_German 10.43
10 Russian_Smolensk 10.49
11 Serbian 10.58
12 Southwest_Russian 11.1
13 Ukrainian_Belgorod 11.23
14 Belorussian 11.77
15 Estonian_Polish 12.17
16 Southwest_Finnish 12.72
17 Estonian 13
18 Finnish 13.02
19 Romanian 13.63
20 East_Finnish 14.22

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 69.7% Estonian + 30.3% West_Sicilian @ 3.01
2 74.4% Estonian + 25.6% Algerian_Jewish @ 3.13
3 73.8% Estonian + 26.2% Italian_Jewish @ 3.22
4 82.7% Polish + 17.3% Libyan_Jewish @ 3.29
5 65.4% Estonian + 34.6% Greek @ 3.34
6 72.1% Estonian + 27.9% South_Italian @ 3.44
7 81.1% Polish + 18.9% Italian_Jewish @ 3.47
8 70.4% Estonian + 29.6% East_Sicilian @ 3.54
9 74.4% Estonian + 25.6% Sephardic_Jewish @ 3.58
10 64.4% Estonian + 35.6% Greek_Thessaly @ 3.62
11 69.9% Estonian + 30.1% Central_Greek @ 3.64
12 81.7% Polish + 18.3% Algerian_Jewish @ 3.66
13 67.1% Estonian + 32.9% Tuscan @ 3.67
14 69.1% Estonian + 30.9% Italian_Abruzzo @ 3.7
15 55.7% Serbian + 44.3% Estonian @ 3.7
16 59.8% Serbian + 40.2% Lithuanian @ 3.83
17 73.6% Polish + 26.4% Greek_Thessaly @ 3.85
18 85.6% Polish + 14.4% Lebanese_Druze @ 3.87
19 86.8% South_Polish + 13.2% Libyan_Jewish @ 3.87
20 83% Polish + 17% Tunisian_Jewish @ 3.87


Using 3 populations approximation:
1 50% Estonian +25% Italian_Jewish +25% Polish @ 2.989132


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++
1 Algerian_Jewish + Lithuanian + Lithuanian + North_Swedish @ 2.972333
2 Estonian + Estonian + Italian_Jewish + Polish @ 2.989132
3 Italian_Jewish + Lithuanian + Lithuanian + North_Swedish @ 3.031528
4 Algerian_Jewish + Estonian + Estonian + Polish @ 3.118464
5 Estonian + Estonian + Ukrainian + West_Sicilian @ 3.195953
6 Algerian_Jewish + Estonian + Estonian + Estonian @ 3.220623
7 Estonian + Italian_Jewish + Lithuanian + Southwest_Finnish @ 3.242211
8 Algerian_Jewish + Estonian + Lithuanian + Southwest_Finnish @ 3.256760
9 Belorussian + Estonian + Estonian + Italian_Jewish @ 3.346035
10 Estonian + Estonian + South_Polish + West_Sicilian @ 3.351887
11 Estonian + Estonian + Estonian + Italian_Jewish @ 3.376040
12 Estonian + Estonian + Ukrainian_Lviv + West_Sicilian @ 3.400002
13 Estonian + Estonian + Polish + West_Sicilian @ 3.408581
14 Estonian + Estonian + Estonian_Polish + Italian_Jewish @ 3.416398
15 Lithuanian + Lithuanian + North_Swedish + West_Sicilian @ 3.437177
16 Estonian + Estonian + Italian_Jewish + South_Polish @ 3.446360
17 Algerian_Jewish + Belorussian + Lithuanian + North_Swedish @ 3.461992
18 Belorussian + Italian_Jewish + Lithuanian + North_Swedish @ 3.486953
19 Algerian_Jewish + Lithuanian + Lithuanian + Swedish @ 3.491583
20 Algerian_Jewish + Lithuanian + Lithuanian + Norwegian @ 3.494517

Done.

Elapsed time 1.2847 seconds.

[Ion Basescul]

Eurogenes K13 Oracle results:
K13 Oracle ref data revised 21 Nov 2013

Kit ------

Admix Results (sorted):

# Population Percent
1 Baltic 39.52
2 North_Atlantic 28.69
3 East_Med 13.02
4 West_Med 11.43
5 West_Asian 3.62
6 Red_Sea 2.3
7 Northeast_African 0.72
8 Siberian 0.48
9 Oceanian 0.23

That's way over the Hungarian averages.

Hungarian,30.53418182,32.45554545,14.27340909,7.08 1318182,10.61336364,1.180818182,0.818363636,0.4678 18182,1.225681818,0.603681818,0.380136364,0.197318 182,0.143181818
Hungarian_Alfold,29.27673077,33.27173077,14.505576 92,7.030192308,10.82615385,1.161346154,0.626538462 ,0.579423077,1.2825,0.656730769,0.429615385,0.2209 61538,0.107692308
Hungarian_Budapest,31.35742857,32.24285714,14.328, 7.316857143,9.827428571,1.143428571,0.795142857,0. 502857143,1.178857143,0.612285714,0.276571429,0.29 3428571,0.096285714
Hungarian_Csango,26.32625,29.2275,14.90875,7.75,13 .98375,1.9125,1.555,0.6675,2.1925,0.6625,0.5125,0. 12375,0.18
Hungarian_Northern,31.3126087,35.60608696,12.84695 652,6.06826087,9.393043478,0.814347826,1.046521739 ,0.508695652,1.066521739,0.553478261,0.472608696,0 .173478261,0.134782609
Hungarian_Szekely,28.47555556,28.19555556,15.15916 667,8.2125,12.88833333,1.376388889,0.937222222,0.8 89444444,2.439722222,0.765277778,0.283333333,0.248 611111,0.148333333
Hungarian_Transdanubia,32.22944444,31.69527778,14. 10305556,7.113333333,10.52555556,1.025833333,0.612 777778,0.415,0.916666667,0.598333333,0.428611111,0 .113888889,0.196944444
Hungarian_Transylvania,28.08857143,29.17071429,15. 62214286,8.200714286,11.98857143,1.721428571,1.242 142857,0.426428571,2.154285714,0.763571429,0.27428 5714,0.137142857,0.137142857

[Scandal]

Dodecad K12b Oracle results:
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Kit --

Admix Results (sorted):

# Population Percent
1 North_European 50.44
2 Atlantic_Med 25.09
3 Caucasus 15.14
4 Southwest_Asian 3.96
5 Gedrosia 2.79
6 Northwest_African 1.99
7 Siberian 0.59

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 3.66
2 German (Dodecad) 10.32
3 Polish (Dodecad) 13.1
4 Ukranians (Yunusbayev) 13.89
5 Mixed_Slav (Dodecad) 15.45
6 Swedish (Dodecad) 16.49
7 Mixed_Germanic (Dodecad) 17.78
8 Romanians (Behar) 17.96
9 Dutch (Dodecad) 18.18
10 Norwegian (Dodecad) 18.39
11 Belorussian (Behar) 18.49
12 Russian (Dodecad) 18.66
13 Russian_B (Behar) 19.24
14 Mordovians (Yunusbayev) 19.52
15 Bulgarian (Dodecad) 19.77
16 Bulgarians (Yunusbayev) 20
17 Russian (HGDP) 20.58
18 CEU30 (1000Genomes) 20.93
19 English (Dodecad) 21.16
20 Kent (1000Genomes) 21.26

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 71.3% Ukranians (Yunusbayev) + 28.7% Extremadura (1000Genomes) @ 1.24
2 73% Ukranians (Yunusbayev) + 27% Murcia (1000Genomes) @ 1.37
3 71.2% Ukranians (Yunusbayev) + 28.8% Portuguese (Dodecad) @ 1.42
4 70.7% Ukranians (Yunusbayev) + 29.3% Galicia (1000Genomes) @ 1.57
5 74.1% Ukranians (Yunusbayev) + 25.9% Andalucia (1000Genomes) @ 1.57
6 71.4% Ukranians (Yunusbayev) + 28.6% Baleares (1000Genomes) @ 1.77
7 72.3% Ukranians (Yunusbayev) + 27.7% Castilla_Y_Leon (1000Genomes) @ 1.81
8 72.8% Ukranians (Yunusbayev) + 27.2% Spanish (Dodecad) @ 2.03
9 73.9% Ukranians (Yunusbayev) + 26.1% Castilla_La_Mancha (1000Genomes) @ 2.13
10 73.3% Ukranians (Yunusbayev) + 26.7% Canarias (1000Genomes) @ 2.14
11 66% Mixed_Slav (Dodecad) + 34% N_Italian (Dodecad) @ 2.2
12 72.7% Ukranians (Yunusbayev) + 27.3% Spaniards (Behar) @ 2.21
13 54.9% Lithuanian (Dodecad) + 45.1% N_Italian (Dodecad) @ 2.21
14 67.9% Mixed_Slav (Dodecad) + 32.1% North_Italian (HGDP) @ 2.3
15 84.7% Hungarians (Behar) + 15.3% Mixed_Slav (Dodecad) @ 2.41
16 83.3% Hungarians (Behar) + 16.7% Ukranians (Yunusbayev) @ 2.42
17 87% Hungarians (Behar) + 13% Belorussian (Behar) @ 2.43
18 82.5% Hungarians (Behar) + 17.5% Polish (Dodecad) @ 2.45
19 90% Hungarians (Behar) + 10% Lithuanian (Dodecad) @ 2.45
20 71.8% Ukranians (Yunusbayev) + 28.2% Cataluna (1000Genomes) @ 2.46

Using 3 populations approximation:
1 50% Belorussian_Behar +25% Norwegian_Dodecad +25% Sicilian_Dodecad @ 1.373987


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++
1 Belorussian_Behar + Bulgarian_Dodecad + Lithuanians_Behar + Portuguese_Dodecad @ 0.897556
2 Bulgarian_Dodecad + Lithuanians_Behar + Portuguese_Dodecad + Russian_Dodecad @ 0.927780
3 Bulgarian_Dodecad + Galicia_1000Genomes + Lithuanians_Behar + Russian_Dodecad @ 0.933556
4 Bulgarian_Dodecad + Extremadura_1000Genomes + Lithuanians_Behar + Russian_Dodecad @ 1.001903
5 Bulgarian_Dodecad + Lithuanians_Behar + Mixed_Slav_Dodecad + Portuguese_Dodecad @ 1.050373
6 Belorussian_Behar + Bulgarian_Dodecad + Extremadura_1000Genomes + Lithuanians_Behar @ 1.051876
7 Bulgarians_Yunusbayev + Lithuanians_Behar + Portuguese_Dodecad + Russian_Dodecad @ 1.093398
8 Bulgarian_Dodecad + Lithuanian_Dodecad + Lithuanian_Dodecad + Murcia_1000Genomes @ 1.104120
9 French_Dodecad + Lithuanians_Behar + Lithuanians_Behar + Sicilian_Dodecad @ 1.115395
10 Ashkenazi_Dodecad + Belorussian_Behar + Cornwall_1000Genomes + Lithuanians_Behar @ 1.169985
11 Bulgarian_Dodecad + Castilla_Y_Leon_1000Genomes + Lithuanians_Behar + Russian_Dodecad @ 1.173584
12 Bulgarian_Dodecad + Extremadura_1000Genomes + Lithuanian_Dodecad + Lithuanian_Dodecad @ 1.184966
13 Ashkenazi_Dodecad + Belorussian_Behar + British_Dodecad + Lithuanians_Behar @ 1.202270
14 Bulgarians_Yunusbayev + Extremadura_1000Genomes + Lithuanians_Behar + Russian_Dodecad @ 1.205255
15 French_HGDP + Lithuanians_Behar + Lithuanians_Behar + Sicilian_Dodecad @ 1.221601
16 Ashkenazi_Dodecad + British_Isles_Dodecad + Lithuanians_Behar + Mixed_Slav_Dodecad @ 1.222935
17 Lithuanians_Behar + Portuguese_Dodecad + Romanians_Behar + Russian_Dodecad @ 1.231842
18 Lithuanians_Behar + Mixed_Slav_Dodecad + Portuguese_Dodecad + Romanians_Behar @ 1.231883
19 Bulgarian_Dodecad + Galicia_1000Genomes + Lithuanians_Behar + Mixed_Slav_Dodecad @ 1.253648
20 Extremadura_1000Genomes + Lithuanians_Behar + Romanians_Behar + Russian_Dodecad @ 1.264204

Done.

Elapsed time 0.4228 seconds.

[Scandal]

That's way over the Hungarian averages.

Hungarian,30.53418182,32.45554545,14.27340909,7.08 1318182,10.61336364,1.180818182,0.818363636,0.4678 18182,1.225681818,0.603681818,0.380136364,0.197318 182,0.143181818
Hungarian_Alfold,29.27673077,33.27173077,14.505576 92,7.030192308,10.82615385,1.161346154,0.626538462 ,0.579423077,1.2825,0.656730769,0.429615385,0.2209 61538,0.107692308
Hungarian_Budapest,31.35742857,32.24285714,14.328, 7.316857143,9.827428571,1.143428571,0.795142857,0. 502857143,1.178857143,0.612285714,0.276571429,0.29 3428571,0.096285714
Hungarian_Csango,26.32625,29.2275,14.90875,7.75,13 .98375,1.9125,1.555,0.6675,2.1925,0.6625,0.5125,0. 12375,0.18
Hungarian_Northern,31.3126087,35.60608696,12.84695 652,6.06826087,9.393043478,0.814347826,1.046521739 ,0.508695652,1.066521739,0.553478261,0.472608696,0 .173478261,0.134782609
Hungarian_Szekely,28.47555556,28.19555556,15.15916 667,8.2125,12.88833333,1.376388889,0.937222222,0.8 89444444,2.439722222,0.765277778,0.283333333,0.248 611111,0.148333333
Hungarian_Transdanubia,32.22944444,31.69527778,14. 10305556,7.113333333,10.52555556,1.025833333,0.612 777778,0.415,0.916666667,0.598333333,0.428611111,0 .113888889,0.196944444
Hungarian_Transylvania,28.08857143,29.17071429,15. 62214286,8.200714286,11.98857143,1.721428571,1.242 142857,0.426428571,2.154285714,0.763571429,0.27428 5714,0.137142857,0.137142857

I have slovak ancestry(besides magyar).

[Leto]

Wow, looks like you're literally a "fucking Slav" I didn't expect that. However you score virtually no Mongoloid. Are your origins from east of the Danube?

[Ion Basescul]

Wow, looks like you're literally a "fucking Slav" I didn't expect that. However you score virtually no Mongoloid. Are your origins from east of the Danube?

Universe is probably closest to the Slovak average from G25.

Slovak,30.84,37.1846153846,12.9876923077,6.2976923 077,8.0007692308,1.0869230769,1.0276923077,0.39153 84615,0.5769230769,0.7338461538,0.5307692308,0.146 1538462,0.2138461538

[Scandal]

MDLP K23b Oracle results:
MDLP K23b Oracle Rev 2014 Sep 16

Kit ---

Admix Results (sorted):

# Population Percent
1 European_Hunters_Gatherers 43.71
2 Caucasian 31.18
3 European_Early_Farmers 14.29
4 Near_East 4.3
5 North_African 1.76
6 Ancestral_Altaic 1.41
7 Paleo_Siberian 1.39
8 South_Central_Asian 0.75
9 Melano_Polynesian 0.67
10 Australoid 0.32
11 East_Siberian 0.22

Single Population Sharing:

# Population (source) Distance
1 Croat_BH ( ) 4.33
2 Bosnian ( ) 4.4
3 Croat ( ) 4.62
4 Serb_BH ( ) 5.06
5 Ukrainian_West ( ) 5.58
6 Hungarian_Budapest ( ) 5.79
7 Czech ( ) 6.3
8 Slovak ( ) 6.32
9 Slovenian ( ) 6.92
10 Hungarian ( ) 7.18
11 Serb_Serbia ( ) 7.22
12 Montenegrian ( ) 7.49
13 Ukrainian_Center ( ) 7.66
14 Sorb ( ) 8.1
15 Kashub ( ) 8.16
16 Ukrainian_East ( ) 8.3
17 Belarusian_West ( ) 9.1
18 Macedonian ( ) 9.21
19 Belarusian-East ( ) 9.33
20 Ukrainian ( ) 9.52

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 50.7% Greek_Thessaly ( ) + 49.3% Estonian ( ) @ 2.08
2 80.4% Croat ( ) + 19.6% Estonian ( ) @ 2.09
3 65.3% Macedonian ( ) + 34.7% Estonian ( ) @ 2.1
4 72.2% Sorb ( ) + 27.8% Greek_Phokaia ( ) @ 2.1
5 77.7% Croat ( ) + 22.3% Balt ( ) @ 2.15
6 73.2% Sorb ( ) + 26.8% Sicilian_Center ( ) @ 2.16
7 79.8% Croat ( ) + 20.2% Latvian ( ) @ 2.18
8 85.6% Croat ( ) + 14.4% Vepsa ( ) @ 2.2
9 78% Croat ( ) + 22% Lithuanian ( ) @ 2.2
10 55.8% Croat ( ) + 44.2% Ukrainian_West ( ) @ 2.21
11 80.7% Ukrainian_West ( ) + 19.3% Sicilian_Center ( ) @ 2.22
12 81.8% Croat ( ) + 18.2% Russian_Vologda ( ) @ 2.24
13 66.8% Pole ( ) + 33.2% Italian_Abruzzo ( ) @ 2.27
14 50.5% Estonian ( ) + 49.5% Albanian_Tirana ( ) @ 2.3
15 67.7% Pole ( ) + 32.3% Italian_Tuscan ( ) @ 2.31
16 53.5% Sorb ( ) + 46.5% Macedonian ( ) @ 2.32
17 70.9% Croat ( ) + 29.1% Russian_South ( ) @ 2.32
18 69.4% Croat ( ) + 30.6% Belarusian-East ( ) @ 2.34
19 73.4% Croat ( ) + 26.6% Russian-West ( ) @ 2.34
20 66.9% Montenegrian ( ) + 33.1% Lithuanian ( ) @ 2.36

[Scandal]

MDLP K23b 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

MDLP K23b Oracle Rev 2014 Sep 16

Admix Results (sorted):

# Population Percent
1 European_Hunters_Gatherers 43.71
2 Caucasian 31.18
3 European_Early_Farmers 14.29
4 Near_East 4.30
5 North_African 1.76
6 Ancestral_Altaic 1.41
7 Paleo_Siberian 1.39


Finished reading population data. 620 populations found.
23 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Croat_BH_ @ 3.486398
2 Czech_ @ 4.960320
3 Bosnian_ @ 5.030617
4 Hungarian_Budapest_ @ 5.046896
5 Croat_ @ 5.339923
6 Slovenian_ @ 5.641377
7 Hungarian_ @ 5.707382
8 Slovak_ @ 5.818160
9 Serb_BH_ @ 6.222453
10 Ukrainian_West_ @ 6.685019
11 German_ @ 9.130067
12 Austrian_ @ 9.323271
13 Serb_Serbia_ @ 10.516761
14 Kashub_ @ 10.519778
15 Ukrainian_Center_ @ 10.874958
16 Sorb_ @ 11.418808
17 Montenegrian_ @ 11.599864
18 Belarusian_West_ @ 11.876825
19 Ukrainian_East_ @ 12.120833
20 Russian_North_ @ 12.201628

Using 2 populations approximation:
1 50% Croat_ +50% Ukrainian_West_ @ 2.397037


Using 3 populations approximation:
1 50% Croat_ +25% Estonian_ +25% Macedonian_ @ 2.016101


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++
1 Croat_ + Italian_Piedmont_ + Kuban_cossack_ + Pole_ @ 1.888415
2 Croat_ + Italian_Tuscan_ + Kuban_cossack_ + Pole_ @ 1.908592
3 Italian_Piedmont_ + Kuban_cossack_ + Lithuanian_ + Macedonian_ @ 1.929635
4 Austrian_ + Lithuanian_ + Pole_ + Sicilian_Center_ @ 1.933034
5 Croat_ + Hungarian_ + Kuban_cossack_ + Macedonian_ @ 1.953362
6 Croat_ + Kuban_cossack_ + Macedonian_ + Slovenian_ @ 1.979789
7 Austrian_ + Croat_BH_ + Kuban_cossack_ + Macedonian_ @ 1.984727
8 Croat_BH_ + Italian_Tuscan_ + Kuban_cossack_ + Pole_ @ 2.010498
9 Croat_BH_ + Italian_Piedmont_ + Kuban_cossack_ + Pole_ @ 2.011426
10 Croat_ + Croat_ + Estonian_ + Macedonian_ @ 2.016101
11 Belarusian_ + Croat_ + Italian_Piedmont_ + Kuban_cossack_ @ 2.025009
12 Croat_BH_ + Italian_Piedmont_ + Kuban_cossack_ + Ukrainian_ @ 2.039296
13 Bosnian_ + Italian_Piedmont_ + Kuban_cossack_ + Pole_ @ 2.042184
14 Italian_Piedmont_ + Kuban_cossack_ + Pole_ + Serb_BH_ @ 2.054061
15 Belarusian_ + Croat_ + Italian_Tuscan_ + Kuban_cossack_ @ 2.054883
16 Gagauz_ + Italian_Piedmont_ + Lithuanian_ + Lithuanian_ @ 2.054968
17 Croat_ + Italian_Abruzzo_ + Lithuanian_ + Pole_ @ 2.058905
18 Hungarian_ + Kuban_cossack_ + Macedonian_ + Serb_BH_ @ 2.090265
19 Bosnian_ + Italian_Tuscan_ + Kuban_cossack_ + Pole_ @ 2.093508
20 Italian_Tuscan_ + Kuban_cossack_ + Pole_ + Serb_BH_ @ 2.103663

Done.

Elapsed time 33.9348 seconds.

[Scandal]

Wow, looks like you're literally a "fucking Slav" I didn't expect that. However you score virtually no Mongoloid. Are your origins from east of the Danube?

My mother is from Bács-Kiskun and my father is from Békés. However if we go back in time, their ancestors(at least most of them) came from northern Hungary and settled in south after the expulsion of Ottomans. Keep in mind Hungary at the time was larger and northern Hungary could've meant Slovakia. I may have ancestry from Western Hungary and from Balkans too. I only know my recent ancestry well.