How many matches did you get in total?Quote:
Originally Posted by Universe
Printable View
How many matches did you get in total?Quote:
Originally Posted by Universe
From all ethnicities? 1,773Quote:
Originally Posted by Ion Basescul
only a small % of it is high confidence though...
I don't think we will be getting gedmatch results this evening.Quote:
Originally Posted by Mr.G
Yes, it would help if they had a filter to sort only by high confidence.Quote:
Originally Posted by Universe
But you likely don't have any Jewish ancestry. 23andme is very precise in detecting Jewish ancestry and I got 0.3% there. On MyHeritage I don't have any, nor does anyone else in my family, but I am sure that it is real and it comes from my dad.
Dad 154 matches with AJ / 1583 total = 9.7%
Mom 30 / 1781 = 1.6%
Brother 115 / 1540 = 7.5%
Me 184 / 2059 = 8.9%
You 59 / 1773 = 3.3%
The three of us also have a number of Jewish matches on GEDmatch.
0.3% is such a miniscule amount that is impossible to take seriously. Not to mention it doesn't translate into 0.3% non-Euro.Quote:
Originally Posted by Ion Basescul
Bummer. Get some some rest, see you with your new results in the morning.Quote:
Originally Posted by Universe
It doesn't matter how small it is, if it exists. Don't make me report you for anti-semitism. :DQuote:
Originally Posted by Leto
You can click on "review match" to see your mutual matches and surnames with that person, as well as their family tree and at the bottom of the page you can see their DNA results too.Quote:
Originally Posted by Universe
I can't. I have to pay for those features.Quote:
Originally Posted by CommonSense
Dude, post Eurogenes K13, K15, Dodecad K12b and MDLP K23b when you can.Quote:
Originally Posted by Universe
Eurogenes K13 Oracle results:Quote:
Originally Posted by Leto
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.
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.
That's way over the Hungarian averages.Quote:
Originally Posted by Universe
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
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.
I have slovak ancestry(besides magyar).Quote:
Originally Posted by Ion Basescul
Wow, looks like you're literally a "fucking Slav" :eek: 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.Quote:
Originally Posted by Leto
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
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
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.
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.Quote:
Originally Posted by Leto
https://upload.wikimedia.org/wikiped...ngary_2020.png
You are very Slavic compared to average Hungarian. As I expected.
You on updated K13. North Hungarian second, I was close. You're closest to Ukrainian highlanders on this! :D Slovak is third.
Distance to: Universe
4.91745869 Ukrainian_Ivano_Frankivsk
6.92391154 Hungarian_Northern
6.96850527 Slovak
7.68950584 Bosniak_Bosnia_NE&Central
8.28777813 Hungarian_Alfold
8.41940022 South_Polish
8.47866476 Slovenian
8.56040303 Sorb_Lusatia
8.61573560 Croat_Croatia_Central
8.61758667 Croat_Croatia_Slavonia
8.70425183 Czech
8.75147987 Croat_Croatia_Zagorje
8.75962899 Croat_Croatia
8.89762328 Croat
9.08531641 Hungarian
9.13637784 Ukrainian_Lviv
9.25976242 Croat_B&H_Bosnia
9.28428780 Croat_Croatia_Lika-Senj
9.28479941 Ukrainian
9.49889467 Croat_Croatia_Istria&Kvarner
9.57406915 Moldova_North
9.59056307 Croat_Croatia_Gorski_Kotar
9.77799190 Hungarian_Budapest
9.96819944 Croat_B&H
10.12374973 Hungarian_Transdanubia
Mixed mode
Target: Universe
Distance: 2.0928% / 2.09277555
64.4 Belorussian
16.6 Swiss_Italian
9.4 Pomak_Plovdiv
5.8 Pomak_Xanthi
3.4 Yemenite_Jewish
0.4 Latvian
Target: Universe
Distance: 3.3040% / 3.30404264 | ADC: 0.25x
54.4 Ukrainian_Ivano_Frankivsk
33.2 Sorb_Lusatia
8.2 Belorussian
4.2 Yemenite_Jewish
Target: Universe
Distance: 4.2936% / 4.29361891 | ADC: 0.5x
80.0 Ukrainian_Ivano_Frankivsk
19.6 Sorb_Lusatia
0.4 Yemenite_Jewish
Target: Universe
Distance: 4.7777% / 4.77767949 | ADC: 1x
96.6 Ukrainian_Ivano_Frankivsk
3.4 Sorb_Lusatia
you can also upload your dna to https://dna.land/ its free
you should then have your results back in the evening
any other calculator worth trying? I've tried and posted all the ones Leto suggested.
Let's see HarappaWorld (even though it's for Gypsies ;)) and puntDNAL K13.Quote:
Originally Posted by Universe
Your Eurogenes K15 plotting:Quote:
Originally Posted by Universe
https://i.imgur.com/XZj8uZJ.png
HarappaWorld Oracle results:Quote:
Originally Posted by Leto
23 April 2013 - Oracle reference population percentages revised.
Kit ---
Admix Results (sorted):
# Population Percent
1 NE-Euro 52.03
2 Mediterranean 22.41
3 Caucasian 13.25
4 Baloch 6.32
5 SW-Asian 4.58
6 Siberian 1.16
7 Papuan 0.25
Single Population Sharing:
# Population (source) Distance
1 slovenian (xing) 2.81
2 hungarian (behar) 4.18
3 ukranian (yunusbayev) 7.96
4 n-european (xing) 10.29
5 utahn-white (hapmap) 11.99
6 utahn-white (1000genomes) 13.05
7 belorussian (behar) 13.5
8 mordovian (yunusbayev) 14.5
9 russian (behar) 14.66
10 british (1000genomes) 14.9
11 orcadian (hgdp) 15.94
12 french (hgdp) 16.51
13 russian (hgdp) 17.28
14 romanian-a (behar) 18.18
15 bulgarian (yunusbayev) 20.08
16 lithuanian (behar) 20.94
17 chuvash (behar) 22.98
18 italian (hgdp) 26.26
19 spaniard (behar) 27.47
20 spaniard (1000genomes) 28.54
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 89.7% hungarian (behar) + 10.3% finnish (1000genomes) @ 1.85
2 59.5% lithuanian (behar) + 40.5% tuscan (1000genomes) @ 1.95
3 94.9% slovenian (xing) + 5.1% finnish (1000genomes) @ 2.2
4 87.1% ukranian (yunusbayev) + 12.9% sardinian (hgdp) @ 2.21
5 77.4% ukranian (yunusbayev) + 22.6% italian (hgdp) @ 2.26
6 91.3% slovenian (xing) + 8.7% russian (hgdp) @ 2.29
7 68.9% hungarian (behar) + 31.1% ukranian (yunusbayev) @ 2.4
8 93.4% slovenian (xing) + 6.6% lithuanian (behar) @ 2.4
9 79.5% hungarian (behar) + 20.5% belorussian (behar) @ 2.41
10 84.5% slovenian (xing) + 15.5% ukranian (yunusbayev) @ 2.45
11 90.5% slovenian (xing) + 9.5% belorussian (behar) @ 2.45
12 91.1% slovenian (xing) + 8.9% mordovian (yunusbayev) @ 2.45
13 66.3% belorussian (behar) + 33.7% italian (hgdp) @ 2.45
14 83.5% hungarian (behar) + 16.5% russian (hgdp) @ 2.46
15 79% ukranian (yunusbayev) + 21% spaniard (1000genomes) @ 2.5
16 86.2% hungarian (behar) + 13.8% lithuanian (behar) @ 2.52
17 92.7% slovenian (xing) + 7.3% russian (behar) @ 2.58
18 95.6% slovenian (xing) + 4.4% chuvash (behar) @ 2.61
19 81.6% hungarian (behar) + 18.4% russian (behar) @ 2.64
20 96.4% slovenian (xing) + 3.6% orcadian (hgdp) @ 2.75
Using 3 populations approximation:
1 50% lithuanian_behar +25% n-european_xing +25% sephardic-jew_behar @ 1.945197
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++
1 finnish_1000genomes + slovenian_xing + tuscan_1000genomes + utahn-white_hapmap @ 1.303599
2 finnish_1000genomes + slovenian_xing + tuscan_hgdp + utahn-white_hapmap @ 1.420805
3 finnish_1000genomes + n-european_xing + slovenian_xing + tuscan_hgdp @ 1.433524
4 finnish_1000genomes + n-european_xing + slovenian_xing + tuscan_1000genomes @ 1.434984
5 finnish_1000genomes + french_hgdp + hungarian_behar + romanian-a_behar @ 1.475664
6 ashkenazi_harappa + french_hgdp + lithuanian_behar + lithuanian_behar @ 1.487944
7 ashkenazi_harappa + belorussian_behar + lithuanian_behar + utahn-white_1000genomes @ 1.497037
8 finnish_1000genomes + hungarian_behar + n-european_xing + tuscan_1000genomes @ 1.497087
9 finnish_1000genomes + hungarian_behar + tuscan_1000genomes + utahn-white_hapmap @ 1.511019
10 finnish_1000genomes + n-european_xing + slovenian_xing + tuscan_hapmap @ 1.538251
11 ashkenazi_harappa + belorussian_behar + lithuanian_behar + utahn-white_hapmap @ 1.542508
12 ashkenazi_harappa + belorussian_behar + british_1000genomes + lithuanian_behar @ 1.550396
13 finnish_1000genomes + hungarian_behar + n-european_xing + tuscan_hgdp @ 1.557188
14 bulgarian_yunusbayev + finnish_1000genomes + french_hgdp + hungarian_behar @ 1.562134
15 finnish_1000genomes + slovenian_xing + tuscan_1000genomes + utahn-white_1000genomes @ 1.569440
16 finnish_1000genomes + slovenian_xing + tuscan_hapmap + utahn-white_hapmap @ 1.574060
17 finnish_1000genomes + french_hgdp + tuscan_hgdp + ukranian_yunusbayev @ 1.587661
18 finnish_1000genomes + french_hgdp + tuscan_1000genomes + ukranian_yunusbayev @ 1.600434
19 finnish_1000genomes + hungarian_behar + tuscan_hgdp + utahn-white_hapmap @ 1.608073
20 finnish_1000genomes + hungarian_behar + n-european_xing + tuscan_hapmap @ 1.652890
Done.
Elapsed time 2.9255 seconds.
Try the Eurogenes K36. There's a cool similarity map for that.Quote:
Originally Posted by Universe
His haplogroup is most likely Slavic too (not that hg matters, just saying). I2 in Hungary is overwhelmingly dinaric clade which is Slavic, but there is Germanic type of I2 present in smaller amounts too, user Oszkar has it.Quote:
Originally Posted by Leto
puntDNAL K13 Global Oracle results:
puntDNAL K13 Oracle
Kit ------
Admix Results (sorted):
# Population Percent
1 NE_Europe 50.64
2 SW_Europe 28.38
3 West_Asia 10.72
4 SW_Asia 7.75
5 East_Africa 1.03
6 Oceania 0.74
7 Siberia 0.65
8 SE_Asia 0.08
Single Population Sharing:
# Population (source) Distance
1 Slovak 4.11
2 Ukrainian 4.99
3 Slovene 5.44
4 German_North 5.99
5 Hungarian 7.05
6 Moldavian 8.1
7 Utahn_European 8.15
8 Irish 8.84
9 Norwegian 8.97
10 English 8.98
11 Croatian 9.06
12 Belarusian 9.19
13 Orcadian 9.24
14 Scottish 9.52
15 Swedish 9.52
16 Bosnian 9.84
17 Belgian 10.66
18 German_South 10.85
19 Mordovian 12.81
20 Polish 13.37
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 87.1% Swedish + 12.9% Saudi @ 1.87
2 68.8% Estonian + 31.2% Italian_Sicilian @ 1.87
3 70.3% Estonian + 29.7% Sephardic_Jew @ 1.87
4 87.7% Swedish + 12.3% Bedouin @ 1.92
5 62.8% Latvian + 37.2% Italian_Abruzzo @ 2.01
6 66.9% Lithuanian + 33.1% Italian_Sicilian @ 2.02
7 81.4% Belarusian + 18.6% Sephardic_Jew @ 2.02
8 86.2% Belarusian + 13.8% Egyptian_Copts @ 2.07
9 63.6% Lithuanian + 36.4% Italian_Abruzzo @ 2.08
10 65.5% Estonian + 34.5% Italian_Abruzzo @ 2.09
11 68.1% Estonian + 31.9% Ashkenazy_Jew @ 2.13
12 93.7% Ukrainian + 6.3% Bedouin @ 2.17
13 74.9% Polish + 25.1% Sephardic_Jew @ 2.2
14 73.5% Polish + 26.5% Italian_Sicilian @ 2.21
15 66.2% Latvian + 33.8% Italian_Sicilian @ 2.22
16 68.5% Lithuanian + 31.5% Sephardic_Jew @ 2.24
17 93.4% Ukrainian + 6.6% Saudi @ 2.28
18 92.2% Ukrainian + 7.8% Saharawi @ 2.32
19 70.6% Polish + 29.4% Italian_Abruzzo @ 2.33
20 86.3% Swedish + 13.7% Yemeni @ 2.34
puntDNAL K13 Global 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.
puntDNAL K13 Oracle
Admix Results (sorted):
# Population Percent
1 NE_Europe 50.64
2 SW_Europe 28.38
3 West_Asia 10.72
4 SW_Asia 7.75
5 East_Africa 1.03
Finished reading population data. 191 populations found.
13 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Slovak @ 4.371104
2 Ukrainian @ 5.319509
3 Slovene @ 5.842872
4 German_North @ 6.350294
5 Hungarian @ 7.574000
6 Utahn_European @ 8.698928
7 Moldavian @ 8.836346
8 Irish @ 9.415438
9 English @ 9.580272
10 Norwegian @ 9.602077
11 Croatian @ 9.791409
12 Orcadian @ 9.845390
13 Belarusian @ 9.960278
14 Scottish @ 10.143045
15 Swedish @ 10.266976
16 Bosnian @ 10.703178
17 Belgian @ 11.440015
18 German_South @ 11.630239
19 Mordovian @ 13.727120
20 Polish @ 14.554538
Using 2 populations approximation:
1 50% Latvian +50% Macedonian @ 2.596100
Using 3 populations approximation:
1 50% Latvian +25% Sephardic_Jew +25% Utahn_European @ 1.568999
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++
1 Latvian + Latvian + Sephardic_Jew + Utahn_European @ 1.568999
2 Latvian + Lithuanian + Sephardic_Jew + Utahn_European @ 1.725837
3 Latvian + Polish + Sephardic_Jew + Swedish @ 1.747302
4 German_North + Latvian + Latvian + Sephardic_Jew @ 1.801581
5 Estonian + Latvian + Sephardic_Jew + Swedish @ 1.801788
6 Estonian + Estonian + Sephardic_Jew + Swedish @ 1.816859
7 German_North + Latvian + Lithuanian + Sephardic_Jew @ 1.818862
8 Estonian + Lithuanian + Sephardic_Jew + Swedish @ 1.852498
9 Belarusian + Estonian + Polish + Sephardic_Jew @ 1.858456
10 Estonian + Latvian + Norwegian + Sephardic_Jew @ 1.859883
11 Lithuanian + Polish + Sephardic_Jew + Swedish @ 1.863235
12 Estonian + German_North + Latvian + Sephardic_Jew @ 1.874974
13 German_North + Lithuanian + Lithuanian + Sephardic_Jew @ 1.876724
14 Belarusian + Estonian + Estonian + Sephardic_Jew @ 1.905977
15 Latvian + Lithuanian + Norwegian + Sephardic_Jew @ 1.911996
16 Latvian + Russian + Sephardic_Jew + Swedish @ 1.914774
17 Lithuanian + Lithuanian + Sephardic_Jew + Utahn_European @ 1.914970
18 Belgian + Finnish + Italian_Sicilian + Lithuanian @ 1.924592
19 Belgian + Finnish + Italian_Abruzzo + Polish @ 1.924661
20 Irish + Latvian + Latvian + Sephardic_Jew @ 1.925246
Done.
Elapsed time 0.3350 seconds.
Very Austro-Hungarian :cool:Quote:
Originally Posted by Alenka
Doesn't this contradict the findings of post #62? Which calculator is the most accurate one?Quote:
Originally Posted by Alenka
K15 is not as good as K13. It's components aren't well balanced.Quote:
Originally Posted by Universe
PopulationQuote:
Originally Posted by Alenka
Amerindian -
Arabian 0.68 Pct
Armenian -
Basque -
Central_African -
Central_Euro 6.73 Pct
East_African -
East_Asian -
East_Balkan 4.58 Pct
East_Central_Asian -
East_Central_Euro 20.56 Pct
East_Med 8.11 Pct
Eastern_Euro 16.92 Pct
Fennoscandian 6.52 Pct
French 7.22 Pct
Iberian 6.86 Pct
Indo-Chinese -
Italian 5.43 Pct
Malayan -
Near_Eastern -
North_African -
North_Atlantic 9.74 Pct
North_Caucasian -
North_Sea 6.65 Pct
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian -
West_Med -
For me K15 seems pretty good, however it may just be that the K15 component balance is better suited to my mix. It models me more German/Hungarian vs. the NW + Balkan modeling I get on most other calculators. Or it could be that I really am more a NW/Balkan mix and K15 is ironically incorrect?Quote:
Originally Posted by Universe
Anyway, just something for you to think about as you consider the accuracy of the various calcs.
Mr.G - Eurogenes K15
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 61.2% Hungarian + 38.8% Southwest_English @ 3.02
2 61.9% Hungarian + 38.1% Southeast_English @ 3.03
3 63.6% Hungarian + 36.4% Irish @ 3.13
4 67.2% Hungarian + 32.8% Orcadian @ 3.21
5 65.2% Hungarian + 34.8% West_Scottish @ 3.32
6 62.5% Swedish + 37.5% Bulgarian @ 3.38
7 60.8% Hungarian + 39.2% North_Dutch @ 3.44
8 50.5% Hungarian + 49.5% South_Dutch @ 3.44
9 50.1% West_German + 49.9% Hungarian @ 3.46
K36 IMO, but most are trash. K13 is better than most because it has a lot of relevant regional references. In this aspect, it is even better than Global 25.Quote:
Originally Posted by Universe
K36 has some very unnatural components like FennoScandian or French...Quote:
Originally Posted by Ion Basescul
References are fucked up too, it has Bosnia more southern than Serbia and many other things.
High K calculators are often shit in my view.
Why am I consistently getting jewish and other mena results with 2, 3 and 4 population approximations? The ashkenazi admixture could be real?
Dodecad K12b is okay for you. I'm one of its few proponents on here (a voice in the wilderness, lol)Quote:
Originally Posted by Universe
Distance to: Universe
3.96524905 Hungarians
4.09243204 Slovak
6.51191984 Ukrainian
6.53979357 Slovenian
6.99993571 Sorb_Lusatia
8.59783112 Croat
8.98968298 Rus_Smolensk
9.12946877 PL_Mazovia
9.47413848 Bosnian
9.81277229 Belorussian
Target: Universe
Distance: 2.3433% / 2.34325043 | ADC: 0.5x
70.0 Hungarians
29.4 Ukrainian
0.6 Mozabite
Target: Universe
Distance: 1.6364% / 1.63638293 | ADC: 0.25x
72.4 Hungarians
16.8 Ukrainian
9.0 Mixed_Slav
1.2 Mozabite
0.4 Yemen_Jews
0.2 Moroccan
Basically a Slavic-shifted Hungarian.