Post Dodecad V3 results (Admixture Studio) 9/3/2020 Update

[Chris596]

How accurate do you find this one? This is literally perfect for me. Even though I get lots of West European, the oracles work like magic. I never posted from this calculator, I don't remember my old results, but I think the accuracy of this speaks for itself. Maybe it overestimates some of my ancestry but it's generally good. I also got ~4.00% Tuscan, that could be my Jewish ancestry because Ashkenazis are relatively close to Tuscans. Or maybe it's something else.

Components %
East_European 19.90
West_European 32.21
Mediterranean 26.37
Neo_African 0.36
West_Asian 15.75
Northeast_Asian 0.68
Southeast_Asian 1.76
Southwest_Asian 2.45
Northwest_African 0.09
Palaeo_African 0.43

Distance: 3.83
53.80% Slovenian
30.80% Romanians_14
10.00% Stalskoe (Dagestan)
04.20% TSI
00.60% Tuscan
00.40% Lahu
00.20% Balkans

Mixed Mode:
1 83.20% Hungarians + 16.80% Armenian @ 2.842
2 79.30% Slovenian + 20.70% Turkish @ 3.100
3 78.52% Hungarians + 21.48% Turkish @ 3.107
4 83.98% Hungarians + 16.02% Armenians_16 @ 3.274
5 81.64% Slovenian + 18.36% Cypriots @ 3.286
6 80.86% Slovenian + 19.14% Turks @ 3.315
7 55.08% Greek + 44.92% FIN @ 3.380
8 80.08% Hungarians + 19.92% Turks @ 3.400
9 83.98% Slovenian + 16.02% Armenian @ 3.576
10 81.64% Hungarians + 18.36% Azerbaijan_Jews @ 3.619

Using 1 populations approximation
1 100% Slovenian @ 10.546
2 100% Hungarians @ 11.172
3 100% Balkans @ 12.310
4 100% Romanians_14 @ 12.656
5 100% Tuscan @ 19.568
6 100% Tuscan @ 20.179
7 100% TSI @ 20.462
8 100% German @ 23.148
9 100% N_Italian @ 23.509
10 100% Ashkenazy_Jews @ 24.415

Using 2 populations approximation
1 50% Greek + 50% FIN @ 4.718
2 50% Slovenian + 50% Romanians_14 @ 4.944

Using 3 populations approximation
1 33% Polish + 33% Stalskoe + 33% IBS @ 3.350

Using 4 populations approximation
1 25% Slovenian + 25% Slovenian + 25% Hungarians + 25% Turkish @ 2.931
2 25% Hungarians + 25% Hungarians + 25% Hungarians + 25% Turkish @ 3.512
3 25% Slovenian + 25% Slovenian + 25% Slovenian + 25% Turkish @ 3.529
4 25% Slovenian + 25% Slovenian + 25% Slovenian + 25% Greek @ 3.640
5 25% Slovenian + 25% Slovenian + 25% Balkans + 25% Ashkenazy_Jews @ 3.666

[Dr_Maul]

Its decent. Distances are quite low :thumb001:

East_European 3.12
West_European 6.56
Mediterranean 19.90
West_Asian 37.17
South_Asian 13.67
Northeast_Asian 0.88
East_African 1.83
Southwest_Asian 14.83
Northwest_African 2.03

# Primary Population (source) Secondary Population (source) Distance
1 74.8% Uzbekistan_Jews (Behar) + 25.2% Balochi (HGDP) @ 1.7
2 74.3% Uzbekistan_Jews (Behar) + 25.7% Brahui (HGDP) @ 1.7
3 72% Uzbekistan_Jews (Behar) + 28% Makrani (HGDP) @ 2.04
4 63.9% Georgia_Jews (Behar) + 36.1% Balochi (HGDP) @ 2.22
5 63.4% Georgia_Jews (Behar) + 36.6% Brahui (HGDP) @ 2.43
6 83.1% Uzbekistan_Jews (Behar) + 16.9% Sindhi (HGDP) @ 2.43
7 83.1% Uzbekistan_Jews (Behar) + 16.9% Pakistani (Xing) @ 2.57
8 82.8% Uzbekistan_Jews (Behar) + 17.2% Kashmiri_Pandit (Reich) @ 2.63
9 80.7% Uzbekistan_Jews (Behar) + 19.3% Pathan (HGDP) @ 2.71
10 87.9% Uzbekistan_Jews (Behar) + 12.1% Velama (Reich) @ 2.76
11 62.5% Samaritians (Behar) + 37.5% Kalash (HGDP) @ 2.78
12 82.3% Uzbekistan_Jews (Behar) + 17.7% Kalash (HGDP) @ 2.83
13 70.9% Georgia_Jews (Behar) + 29.1% Pathan (HGDP) @ 2.84
14 86.5% Uzbekistan_Jews (Behar) + 13.5% Meghawal (Reich) @ 2.86
15 87.5% Uzbekistan_Jews (Behar) + 12.5% Srivastava (Reich) @ 2.89
16 87.2% Uzbekistan_Jews (Behar) + 12.8% TN_Brahmin (Xing) @ 2.89
17 88% Uzbekistan_Jews (Behar) + 12% Indian (Dodecad) @ 2.89
18 83.7% Kurd (Xing) + 16.3% Bnei_Menashe_Jews (Behar) @ 2.9
19 89.2% Uzbekistan_Jews (Behar) + 10.8% GIH (HapMap) @ 2.96
20 66% Lebanese (Behar) + 34% Kalash (HGDP) @ 2.98

[calxpal]

Somewhat accurate for me, low distances are good.

Finished reading population data. 227 populations found.
12 components mode.

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


Mixed Mode:
1 51.17% Swedish + 48.83% Romanians_14 @ 1.377
2 76.17% Slovenian + 23.83% Dutch @ 1.385
3 63.67% Slovenian + 36.33% N._European @ 1.406
4 80.08% Slovenian + 19.92% Cornwall @ 1.479
5 77.73% Slovenian + 22.27% Kent @ 1.546
6 79.30% Slovenian + 20.70% British @ 1.549
7 51.17% Romanians_14 + 48.83% Norwegian @ 1.582
8 50.39% Romanians_14 + 49.61% Swedish @ 1.586
9 74.61% Slovenian + 25.39% Mixed_Germanic @ 1.594
10 79.30% Slovenian + 20.70% British_Isles @ 1.697

Least-squares method.

Using 1 populations approximation
1 100% Slovenian @ 6.889
2 100% German @ 8.849
3 100% CEU @ 11.770
4 100% N._European @ 11.896
5 100% Hungarians @ 11.973
6 100% Argyll @ 12.763
7 100% Orcadian @ 13.702
8 100% Orkney @ 13.990
9 100% French @ 18.547
10 100% French @ 18.716

Using 2 populations approximation
1 50% Swedish + 50% Romanians_14 @ 1.498
2 50% Romanians_14 + 50% Norwegian @ 1.701
3 50% N._European + 50% Hungarians @ 2.336
4 50% Balkans + 50% Norwegian @ 2.817
5 50% Slovenian + 50% N._European @ 2.898
6 50% FIN + 50% TSI @ 2.947
7 50% Slovenian + 50% CEU @ 3.090
8 50% FIN + 50% Tuscan @ 3.270
9 50% Slovenian + 50% German @ 3.333
10 50% Hungarians + 50% Argyll @ 3.337

Using 3 populations approximation
1 33% Slovenian + 33% Slovenian + 33% N._European @ 1.513
2 33% Slovenian + 33% Slovenian + 33% CEU @ 1.908
3 33% Slovenian + 33% Slovenian + 33% Argyll @ 2.002
4 33% Slovenian + 33% Slovenian + 33% Orkney @ 2.062
5 33% Slovenian + 33% Slovenian + 33% Orcadian @ 2.067
6 33% TSI + 33% Cornwall + 33% Russian @ 2.337
7 33% N._European + 33% N._European + 33% Balkans @ 2.347
8 33% German + 33% N._European + 33% Balkans @ 2.377
9 33% Swedish + 33% FIN + 33% Greek @ 2.540
10 33% British_Isles + 33% Tuscan + 33% Mixed_Slav @ 2.572

Using 4 populations approximation
1 25% Slovenian + 25% Slovenian + 25% Slovenian + 25% Dutch @ 1.411
2 25% Slovenian + 25% Slovenian + 25% Slovenian + 25% Mixed_Germanic @ 1.599
3 25% Balkans + 25% Balkans + 25% Swedish + 25% British @ 1.769
4 25% Slovenian + 25% Slovenian + 25% Slovenian + 25% Kent @ 1.788
5 25% Balkans + 25% Balkans + 25% Swedish + 25% Cornwall @ 1.796
6 25% Balkans + 25% Balkans + 25% Swedish + 25% British_Isles @ 1.820
7 25% Balkans + 25% Balkans + 25% Swedish + 25% Irish @ 1.901
8 25% German + 25% German + 25% N._European + 25% Romanians_14 @ 2.008
9 25% German + 25% German + 25% German + 25% Romanians_14 @ 2.073
10 25% Slovenian + 25% Slovenian + 25% Slovenian + 25% British @ 2.098

[17571imre]

pretty good results :)

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 227 populations found.
12 components mode.

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


Mixed Mode:
1 55,08% N._European + 44,92% Romanians_14 @ 1,424
2 61,33% Romanians_14 + 38,67% Norwegian @ 1,868
3 55,08% Balkans + 44,92% Mixed_Germanic @ 2,335
4 54,30% O_Italian + 45,70% FIN @ 2,384
5 54,30% Argyll + 45,70% Romanians_14 @ 2,458
6 70,70% German + 29,30% Greek @ 2,574
7 50,39% Romanians_14 + 49,61% N._European @ 2,579
8 61,33% Balkans + 38,67% Cornwall @ 2,639
9 62,11% Romanians_14 + 37,89% Irish @ 2,683
10 56,64% Balkans + 43,36% Dutch @ 2,708

Least-squares method.

Using 1 populations approximation
1 100% Slovenian @ 7,060
2 100% Hungarians @ 11,099
3 100% German @ 14,664
4 100% CEU @ 15,833
5 100% N._European @ 16,441
6 100% Argyll @ 17,409
7 100% Orcadian @ 18,121
8 100% Orkney @ 18,506
9 100% French @ 19,394
10 100% French @ 19,510

Using 2 populations approximation
1 50% N._European + 50% Romanians_14 @ 2,460
2 50% FIN + 50% C_Italian @ 2,805
3 50% Argyll + 50% Romanians_14 @ 2,896
4 50% Orkney + 50% Romanians_14 @ 2,987
5 50% Balkans + 50% Mixed_Germanic @ 3,091
6 50% Orcadian + 50% Romanians_14 @ 3,182
7 50% Romanians_14 + 50% Mixed_Germanic @ 3,212
8 50% O_Italian + 50% FIN @ 3,261
9 50% N._European + 50% Balkans @ 3,430
10 50% CEU + 50% Romanians_14 @ 3,769

Using 3 populations approximation
1 33% C_Italian + 33% Mixed_Slav + 33% Irish @ 1,116
2 33% Dutch + 33% O_Italian + 33% Mixed_Slav @ 1,687
3 33% Balkans + 33% Tuscan + 33% Swedish @ 1,782
4 33% Hungarians + 33% German + 33% Tuscan @ 1,805
5 33% Mixed_Slav + 33% Irish + 33% S_Italian_Sicilian @ 1,846
6 33% Hungarians + 33% German + 33% TSI @ 2,054
7 33% Balkans + 33% Tuscan + 33% Swedish @ 2,089
8 33% Hungarians + 33% German + 33% Tuscan @ 2,165
9 33% Polish + 33% C_Italian + 33% Irish @ 2,199
10 33% C_Italian + 33% Irish + 33% Russian @ 2,340

Using 4 populations approximation
1 25% Slovenian + 25% Slovenian + 25% German + 25% Tuscan @ 1,216
2 25% Slovenian + 25% Slovenian + 25% German + 25% TSI @ 1,318
3 25% Slovenian + 25% Slovenian + 25% German + 25% Tuscan @ 1,450
4 25% Slovenian + 25% Slovenian + 25% German + 25% O_Italian @ 1,649
5 25% Hungarians + 25% Hungarians + 25% CEU + 25% Tuscan @ 2,286
6 25% Hungarians + 25% Hungarians + 25% CEU + 25% TSI @ 2,287
7 25% Hungarians + 25% Hungarians + 25% CEU + 25% Tuscan @ 2,420
8 25% Hungarians + 25% Hungarians + 25% German + 25% TSI @ 2,586
9 25% TSI + 25% TSI + 25% Mixed_Germanic + 25% Lithuanians @ 2,625
10 25% Slovenian + 25% Slovenian + 25% German + 25% C_Italian @ 2,629

[someonenotyou]


Component %
East_European 15.54%
West_European 39.48%
Mediterranean 27.58%
West_Asian 14.02%
Northeast_Asian 0.80%
Southeast_Asian 0.12%
Southwest_Asian 0.28%
Northwest_African 2.18%


Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 227 populations found.
12 components mode.

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


Mixed Mode:
1 54.30% Romanians_14 + 45.70% Mixed_Germanic @ 2.974
2 62.89% Romanians_14 + 37.11% Irish @ 3.466
3 60.55% Romanians_14 + 39.45% British_Isles @ 3.578
4 58.98% Romanians_14 + 41.02% Kent @ 3.603
5 56.64% Romanians_14 + 43.36% Dutch @ 3.679
6 50.39% Mixed_Germanic + 49.61% Romanians_14 @ 3.680
7 60.55% Romanians_14 + 39.45% Cornwall @ 3.686
8 60.55% Romanians_14 + 39.45% British @ 3.714
9 52.73% Argyll + 47.27% Romanians_14 @ 3.733
10 50.39% Romanians_14 + 49.61% Argyll @ 3.880

Least-squares method.

Using 1 populations approximation
1 100% Slovenian @ 9.377
2 100% Hungarians @ 12.863
3 100% German @ 16.402
4 100% CEU @ 16.739
5 100% N._European @ 17.599
6 100% Argyll @ 18.235
7 100% Orcadian @ 18.971
8 100% Tuscan @ 19.274
9 100% Orkney @ 19.387
10 100% Tuscan @ 19.571

Using 2 populations approximation
1 50% Romanians_14 + 50% Mixed_Germanic @ 3.582
2 50% Argyll + 50% Romanians_14 @ 3.843
3 50% Orkney + 50% Romanians_14 @ 4.157
4 50% N._European + 50% Romanians_14 @ 4.172
5 50% Orcadian + 50% Romanians_14 @ 4.187
6 50% CEU + 50% Romanians_14 @ 4.540
7 50% Romanians_14 + 50% Dutch @ 4.719
8 50% Balkans + 50% Mixed_Germanic @ 4.996
9 50% Swedish + 50% Greek @ 5.225
10 50% Romanians_14 + 50% Kent @ 5.484

Using 3 populations approximation
1 33% German + 33% German + 33% Greek @ 3.992
2 33% Romanians_14 + 33% Romanians_14 + 33% Irish @ 4.035
3 33% Balkans + 33% Romanians_14 + 33% Irish @ 4.357
4 33% Mixed_Slav + 33% Irish + 33% S_Italian @ 4.436
5 33% TSI + 33% Balkans + 33% Swedish @ 4.447
6 33% Hungarians + 33% German + 33% TSI @ 4.522
7 33% C_Italian + 33% British + 33% Mixed_Slav @ 4.550
8 33% Hungarians + 33% German + 33% Tuscan @ 4.577
9 33% C_Italian + 33% British_Isles + 33% Mixed_Slav @ 4.596
10 33% Polish + 33% Irish + 33% S_Italian @ 4.598

Using 4 populations approximation
1 25% Romanians_14 + 25% Romanians_14 + 25% Mixed_Germanic + 25% Mixed_Germanic @ 3.582
2 25% Romanians_14 + 25% Romanians_14 + 25% Mixed_Germanic + 25% Dutch @ 4.113
3 25% Slovenian + 25% Slovenian + 25% German + 25% O_Italian @ 4.393
4 25% Slovenian + 25% Slovenian + 25% German + 25% C_Italian @ 4.425
5 25% Romanians_14 + 25% Romanians_14 + 25% Mixed_Germanic + 25% Kent @ 4.461
6 25% Argyll + 25% Argyll + 25% Tuscan + 25% Balkans @ 4.484
7 25% Hungarians + 25% Hungarians + 25% CEU + 25% TSI @ 4.674
8 25% Slovenian + 25% Slovenian + 25% German + 25% TSI @ 4.732
9 25% Slovenian + 25% Slovenian + 25% German + 25% Tuscan @ 4.754
10 25% Argyll + 25% Argyll + 25% Tuscan + 25% Romanians_14 @ 4.779

[mitalit]

In my case pretty bad

Using 1 population approximation:
1 French_Dodecad @ 10.246201
2 French_HGDP @ 10.501765
3 Portuguese_Dodecad @ 13.492945
4 Spaniards_Behar @ 15.346912
5 N_Italian_Dodecad @ 15.376111
6 IBS_1000Genomes @ 16.003561
7 Spanish_Dodecad @ 16.213907
8 CEU_HapMap @ 16.237295
9 Tuscan_Henn @ 16.438189
10 TSI_HapMap @ 16.975769
11 Tuscan_Xing @ 17.280495
12 N._European_Xing @ 17.616302
13 French_Basque_HGDP @ 18.000113
14 Orcadian_HGDP @ 18.483053
15 Orkney_1000 Genomes @ 18.850988
16 Argyll_1000 Genomes @ 18.908199
17 North_Italian_HGDP @ 19.369684
18 German_Dodecad @ 20.186005
19 Slovenian_Xing @ 20.910484
20 Mixed_Germanic_Dodecad @ 21.849562

Using 2 populations approximation:
1 50% French_Dodecad +50% Tuscan_Henn @ 4.957240


Using 3 populations approximation:
1 50% Norwegian_Dodecad +25% Sardinian_HGDP +25% Sephardic_Jews_Behar @ 2.720364


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 Ashkenazy_Jews_Behar + French_Dodecad + Norwegian_Dodecad + Sardinian_HGDP @ 2.074417
2 French_Basque_HGDP + French_Dodecad + German_Dodecad + Morocco_Jews_Behar @ 2.160725
3 French_Dodecad + Sephardic_Jews_Behar + Spaniards_Behar + Swedish_Dodecad @ 2.170458
4 French_Dodecad + Norwegian_Dodecad + Sephardic_Jews_Behar + Spanish_Dodecad @ 2.234770
5 French_Dodecad + Sephardic_Jews_Behar + Spanish_Dodecad + Swedish_Dodecad @ 2.240025
6 French_Dodecad + Norwegian_Dodecad + Portuguese_Dodecad + Sephardic_Jews_Behar @ 2.241779
7 French_Dodecad + Norwegian_Dodecad + Sephardic_Jews_Behar + Spaniards_Behar @ 2.277182
8 French_Dodecad + Morocco_Jews_Behar + Spanish_Dodecad + Swedish_Dodecad @ 2.279292
9 Ashkenazy_Jews_Behar + French_Dodecad + Sardinian_HGDP + Swedish_Dodecad @ 2.294427
10 Ashkenazi_Dodecad + French_Dodecad + Norwegian_Dodecad + Sardinian_HGDP @ 2.365930
11 French_Dodecad + IBS_1000Genomes + Norwegian_Dodecad + Sephardic_Jews_Behar @ 2.391669
12 British_Isles_Dodecad + Sardinian_HGDP + Sephardic_Jews_Behar + Swedish_Dodecad @ 2.397039
13 French_HGDP + Sephardic_Jews_Behar + Spanish_Dodecad + Swedish_Dodecad @ 2.409492
14 French_HGDP + Sephardic_Jews_Behar + Spaniards_Behar + Swedish_Dodecad @ 2.420627
15 British_Dodecad + Sardinian_HGDP + Sephardic_Jews_Behar + Swedish_Dodecad @ 2.423790
16 French_Dodecad + Morocco_Jews_Behar + Norwegian_Dodecad + Spanish_Dodecad @ 2.423885
17 Ashkenazy_Jews_Behar + Spaniards_Behar + Spaniards_Behar + Swedish_Dodecad @ 2.424241
18 French_Dodecad + IBS_1000Genomes + Morocco_Jews_Behar + Swedish_Dodecad @ 2.448142
19 French_Dodecad + IBS_1000Genomes + Sephardic_Jews_Behar + Swedish_Dodecad @ 2.450023
20 French_Basque_HGDP + French_Dodecad + Morocco_Jews_Behar + N._European_Xing @ 2.456025

[Chris596]

Great results everyone! This looks like an awesome calculator in general.


In my case pretty bad


Yes my friend, but your results are from GEDmatch. I have slightly different results there, but basically the same


Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 77.5% Hungarians (Behar) + 22.5% Turkish (Dodecad) @ 1.95
2 82.5% Hungarians (Behar) + 17.5% Armenian (Dodecad) @ 2.06
3 83.1% Hungarians (Behar) + 16.9% Armenians_16 (Behar) @ 2.24
4 79.3% Hungarians (Behar) + 20.7% Turks (Behar) @ 2.37
5 82.9% Hungarians (Behar) + 17.1% Assyrian (Dodecad) @ 2.67
6 80.7% Hungarians (Behar) + 19.3% Azerbaijan_Jews (Behar) @ 2.79
7 81.1% Hungarians (Behar) + 18.9% Druze (HGDP) @ 2.9
8 78.1% Slovenian (Xing) + 21.9% Turkish (Dodecad) @ 3.31
9 81.7% Hungarians (Behar) + 18.3% Iraq_Jews (Behar) @ 3.34
10 62.2% TSI (HapMap) + 37.8% Russian (Dodecad) @ 3.35
11 78.3% Romanians_14 (Behar) + 21.7% Swedish (Dodecad) @ 3.38
12 81.3% Hungarians (Behar) + 18.7% Iranian_Jews (Behar) @ 3.39
13 56.3% Greek (Dodecad) + 43.7% FIN (1000Genomes) @ 3.4
14 80.8% Slovenian (Xing) + 19.2% Cypriots (Behar) @ 3.45
15 79.3% Hungarians (Behar) + 20.7% Uzbekistan_Jews (Behar) @ 3.48
16 80.6% Hungarians (Behar) + 19.4% Georgia_Jews (Behar) @ 3.48
17 57.5% TSI (HapMap) + 42.5% Mixed_Slav (Dodecad) @ 3.52
18 72.7% Slovenian (Xing) + 27.3% Greek (Dodecad) @ 3.56
19 80.1% Hungarians (Behar) + 19.9% Kurd (Xing) @ 3.6
20 58.7% Tuscan (Xing) + 41.3% Mixed_Slav (Dodecad) @ 3.66

[Luke35]

I happen to match the Slovene sample more closely than the Hungarian one - but in the 2-way oracle split there is a East/West split theme, which is appropriate in my case. Seems to be a decent calculator.

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

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 227 populations found.
12 components mode.

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


Mixed Mode:
1 66.80% Slovenian + 33.20% French @ 2.658
2 66.02% Slovenian + 33.98% French @ 2.702
3 66.80% N._European + 33.20% Balkans @ 2.724
4 68.36% N._European + 31.64% Romanians_14 @ 2.969
5 80.86% German + 19.14% Sicilian @ 3.195
6 55.08% Balkans + 44.92% Irish @ 3.234
7 82.42% German + 17.58% Sephardic_Jews @ 3.241
8 80.08% German + 19.92% Greek @ 3.244
9 51.95% Balkans + 48.05% British @ 3.277
10 52.73% Dutch + 47.27% Balkans @ 3.296

Least-squares method.

Using 1 populations approximation
1 100% Slovenian @ 8.658
2 100% German @ 10.323
3 100% CEU @ 11.480
4 100% N._European @ 12.103
5 100% Hungarians @ 13.033
6 100% Argyll @ 13.103
7 100% Orcadian @ 13.722
8 100% Orkney @ 14.041
9 100% French @ 16.167
10 100% French @ 16.520

Using 2 populations approximation
1 50% Balkans + 50% British @ 3.412
2 50% Balkans + 50% British_Isles @ 3.449
3 50% Dutch + 50% Balkans @ 3.549
4 50% Kent + 50% Balkans @ 3.608
5 50% Balkans + 50% Cornwall @ 3.747
6 50% Romanians_14 + 50% Norwegian @ 3.843
7 50% Balkans + 50% Irish @ 4.049
8 50% N_Italian + 50% FIN @ 4.387
9 50% Hungarians + 50% French @ 4.439
10 50% Slovenian + 50% CEU @ 4.465

Using 3 populations approximation
1 33% Slovenian + 33% Slovenian + 33% French @ 2.658
2 33% Slovenian + 33% Slovenian + 33% French @ 2.707
3 33% N._European + 33% N._European + 33% Balkans @ 2.724
4 33% CEU + 33% N._European + 33% Balkans @ 2.928
5 33% N._European + 33% N._European + 33% Romanians_14 @ 3.013
6 33% Irish + 33% O_Italian + 33% Polish @ 3.028
7 33% N._European + 33% Argyll + 33% Balkans @ 3.179
8 33% German + 33% N._European + 33% Romanians_14 @ 3.188
9 33% N._European + 33% Argyll + 33% Romanians_14 @ 3.233
10 33% CEU + 33% N._European + 33% Romanians_14 @ 3.306

Using 4 populations approximation
1 25% German + 25% German + 25% N._European + 25% Romanians_14 @ 3.388
2 25% Slovenian + 25% Slovenian + 25% Slovenian + 25% French @ 3.389
3 25% German + 25% German + 25% CEU + 25% Romanians_14 @ 3.404
4 25% Slovenian + 25% Slovenian + 25% German + 25% French @ 3.407
5 25% Romanians_14 + 25% Romanians_14 + 25% British + 25% Swedish @ 3.427
6 25% Slovenian + 25% Slovenian + 25% German + 25% French @ 3.444
7 25% Dutch + 25% Dutch + 25% Tuscan + 25% Belorussian @ 3.448
8 25% Romanians_14 + 25% Romanians_14 + 25% British_Isles + 25% Swedish @ 3.468
9 25% Slovenian + 25% Slovenian + 25% Slovenian + 25% French @ 3.474
10 25% Romanians_14 + 25% Romanians_14 + 25% British_Isles + 25% Norwegian @ 3.484

[Blemoir]

Component %
East_European 5,02%
West_European 29,72%
Mediterranean 31,43%
Neo_African 3,84%
West_Asian 12,65%
Northeast_Asian 0,81%
Southeast_Asian 0,27%
East_African 2,26%
Southwest_Asian 7,07%
Northwest_African 6,04%
Palaeo_African 0,90%

Mixed Mode:
1 82,42% Tuscan + 17,58% Morocco_S @ 5,827
2 81,64% TSI + 18,36% Morocco_S @ 6,038
3 83,20% Tuscan + 16,80% Morocco_S @ 6,078
4 58,98% French + 41,02% Egypt @ 6,237
5 58,98% French + 41,02% Egypt @ 6,248
6 87,11% Tuscan + 12,89% Fulani @ 6,311
7 55,86% Morocco_Jews + 44,14% CEU @ 6,361
8 58,20% Morocco_Jews + 41,80% Orcadian @ 6,547
9 58,20% Morocco_Jews + 41,80% Orkney @ 6,548
10 87,89% Tuscan + 12,11% Fulani @ 6,682

Least-squares method.

Using 1 populations approximation
1 100% Tuscan @ 10,251
2 100% Tuscan @ 10,548
3 100% TSI @ 11,392
4 100% O_Italian @ 14,950
5 100% N_Italian @ 16,345
6 100% Ashkenazy_Jews @ 16,614
7 100% Ashkenazi @ 18,048
8 100% Tuscan @ 19,150
9 100% Portuguese @ 19,723
10 100% C_Italian @ 19,758

Using 2 populations approximation
1 50% Morocco_Jews + 50% CEU @ 6,990
2 50% Sephardic_Jews + 50% N._European @ 7,016
3 50% Morocco_Jews + 50% French @ 7,365
4 50% Sephardic_Jews + 50% Argyll @ 7,432
5 50% CEU + 50% Sephardic_Jews @ 7,457
6 50% Sephardic_Jews + 50% Orkney @ 7,504
7 50% Morocco_Jews + 50% N._European @ 7,546
8 50% Sephardic_Jews + 50% Orcadian @ 7,583
9 50% Morocco_Jews + 50% French @ 7,664
10 50% Morocco_Jews + 50% Orcadian @ 7,740

Using 3 populations approximation
1 33% French_Basque + 33% Morocco_N + 33% Stalskoe @ 6,011
2 33% IBS + 33% Slovenian + 33% Egypt @ 6,271
3 33% Slovenian + 33% Spanish + 33% Egypt @ 6,298
4 33% S_Italian + 33% CEU + 33% Algeria @ 6,358
5 33% S_Italian + 33% CEU + 33% Morocco_N @ 6,717
6 33% Slovenian + 33% Spanish + 33% Palestinian @ 6,835
7 33% IBS + 33% Slovenian + 33% Libya @ 6,892
8 33% IBS + 33% Slovenian + 33% Palestinian @ 6,903
9 33% Sardinian + 33% CEU + 33% Egypt @ 7,009
10 33% Slovenian + 33% Spanish + 33% Libya @ 7,032

Using 4 populations approximation
1 25% CEU + 25% CEU + 25% Sephardic_Jews + 25% Algeria @ 3,618
2 25% Orkney + 25% Orkney + 25% Morocco_N + 25% Cypriots @ 3,627
3 25% CEU + 25% CEU + 25% Sephardic_Jews + 25% North_African @ 4,298
4 25% CEU + 25% CEU + 25% Sephardic_Jews + 25% Morocco_N @ 4,380
5 25% CEU + 25% CEU + 25% Sephardic_Jews + 25% Libya @ 4,534
6 25% French + 25% French + 25% Sicilian + 25% Libya @ 5,170
7 25% CEU + 25% CEU + 25% Sephardic_Jews + 25% Morocco_S @ 5,189
8 25% Morocco_Jews + 25% Morocco_Jews + 25% IBS + 25% FIN @ 5,329
9 25% Kent + 25% Kent + 25% North_African + 25% Cypriots @ 5,340
10 25% French + 25% French + 25% Sicilian + 25% Algeria @ 5,343

[mitalit]

Great results everyone! This looks like an awesome calculator in general.



Yes my friend, but your results are from GEDmatch. I have slightly different results there, but basically the same


Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 77.5% Hungarians (Behar) + 22.5% Turkish (Dodecad) @ 1.95
2 82.5% Hungarians (Behar) + 17.5% Armenian (Dodecad) @ 2.06
3 83.1% Hungarians (Behar) + 16.9% Armenians_16 (Behar) @ 2.24
4 79.3% Hungarians (Behar) + 20.7% Turks (Behar) @ 2.37
5 82.9% Hungarians (Behar) + 17.1% Assyrian (Dodecad) @ 2.67
6 80.7% Hungarians (Behar) + 19.3% Azerbaijan_Jews (Behar) @ 2.79
7 81.1% Hungarians (Behar) + 18.9% Druze (HGDP) @ 2.9
8 78.1% Slovenian (Xing) + 21.9% Turkish (Dodecad) @ 3.31
9 81.7% Hungarians (Behar) + 18.3% Iraq_Jews (Behar) @ 3.34
10 62.2% TSI (HapMap) + 37.8% Russian (Dodecad) @ 3.35
11 78.3% Romanians_14 (Behar) + 21.7% Swedish (Dodecad) @ 3.38
12 81.3% Hungarians (Behar) + 18.7% Iranian_Jews (Behar) @ 3.39
13 56.3% Greek (Dodecad) + 43.7% FIN (1000Genomes) @ 3.4
14 80.8% Slovenian (Xing) + 19.2% Cypriots (Behar) @ 3.45
15 79.3% Hungarians (Behar) + 20.7% Uzbekistan_Jews (Behar) @ 3.48
16 80.6% Hungarians (Behar) + 19.4% Georgia_Jews (Behar) @ 3.48
17 57.5% TSI (HapMap) + 42.5% Mixed_Slav (Dodecad) @ 3.52
18 72.7% Slovenian (Xing) + 27.3% Greek (Dodecad) @ 3.56
19 80.1% Hungarians (Behar) + 19.9% Kurd (Xing) @ 3.6
20 58.7% Tuscan (Xing) + 41.3% Mixed_Slav (Dodecad) @ 3.66

You're right, I'm usually pretty clueless... :picard1:
Still pretty bad anyway


Mixed Mode:
1 83,20% French + 16,80% Egypt @ 2,195
2 83,98% French + 16,02% Jordanians_19 @ 2,546
3 83,98% French + 16,02% Palestinian @ 2,685
4 77,73% French + 22,27% Morocco_Jews @ 2,694
5 83,98% French + 16,02% Lebanese @ 2,751
6 84,77% French + 15,23% Egyptans @ 2,901
7 74,61% French + 25,39% Ashkenazy_Jews @ 3,113
8 84,77% French + 15,23% Samaritians @ 3,158
9 75,39% French + 24,61% Ashkenazi @ 3,222
10 84,77% French + 15,23% Syrians @ 3,235

Least-squares method.

Using 1 populations approximation
1 100% French @ 10,287
2 100% French @ 10,538
3 100% Portuguese @ 13,540
4 100% N_Italian @ 15,372
5 100% Spaniards @ 15,407
6 100% IBS @ 16,053
7 100% CEU @ 16,236
8 100% Spanish @ 16,258
9 100% Tuscan @ 16,401
10 100% TSI @ 16,938

Using 2 populations approximation
1 50% French + 50% Tuscan @ 4,934
2 50% French + 50% Tuscan @ 5,320
3 50% French + 50% Tuscan @ 5,533
4 50% French + 50% TSI @ 5,602
5 50% N._European + 50% North_Italian @ 5,635
6 50% N_Italian + 50% N._European @ 5,699
7 50% N._European + 50% Sardinian @ 5,742
8 50% French + 50% Tuscan @ 5,955
9 50% N_Italian + 50% CEU @ 6,258
10 50% French + 50% TSI @ 6,277

Using 3 populations approximation
1 33% Spanish + 33% Tuscan + 33% N._European @ 3,455
2 33% French_Basque + 33% Orkney + 33% Ashkenazy_Jews @ 3,467
3 33% N._European + 33% French_Basque + 33% Ashkenazy_Jews @ 3,480
4 33% French_Basque + 33% Orcadian + 33% Ashkenazy_Jews @ 3,545
5 33% French_Basque + 33% Orkney + 33% Ashkenazi @ 3,632
6 33% N._European + 33% French_Basque + 33% Ashkenazi @ 3,689
7 33% French_Basque + 33% Orcadian + 33% Ashkenazi @ 3,731
8 33% Spanish + 33% TSI + 33% N._European @ 3,868
9 33% French_Basque + 33% Orkney + 33% Morocco_Jews @ 3,887
10 33% French + 33% French + 33% Tuscan @ 3,908

Using 4 populations approximation
1 25% N._European + 25% N._European + 25% French_Basque + 25% Sephardic_Jews @ 2,907
2 25% French + 25% French + 25% French + 25% Morocco_Jews @ 2,997
3 25% French + 25% French + 25% French + 25% Ashkenazy_Jews @ 3,121
4 25% French + 25% French + 25% French + 25% Ashkenazi @ 3,222
5 25% French + 25% French + 25% French + 25% Morocco_Jews @ 3,413
6 25% French + 25% French + 25% French + 25% Ashkenazy_Jews @ 3,523
7 25% French + 25% French + 25% French + 25% Ashkenazi @ 3,628
8 25% CEU + 25% CEU + 25% Tuscan + 25% Sardinian @ 3,728
9 25% CEU + 25% CEU + 25% Spanish + 25% Morocco_Jews @ 3,799
10 25% N._European + 25% N._European + 25% French_Basque + 25% Morocco_Jews @ 3,816

[Chris596]

Bump. This is me compared to the Hungarian average, using the Population Radar

https://i.imgur.com/7eNfQoi.png

[Rædwald]

https://i.postimg.cc/5tv3z4n2/v3nmonte.png

Population nMonte


Distance: 2.68

52.80% N._European
22.60% CEU
20.80% French
01.60% Chenchu
01.40% Selkup
00.40% Orkney
00.20% AP_Mala
00.20% Sahariya


https://i.postimg.cc/nhN2MjKW/v3.png

Mixed Mode:


1 87.11% N._European + 12.89% Portuguese @ 2.775
2 87.89% N._European + 12.11% Spanish @ 2.779
3 87.89% N._European + 12.11% IBS @ 2.816
4 96.48% CEU + 3.52% AP_Mala @ 2.827
5 96.48% CEU + 3.52% Santhal @ 2.833
6 96.48% CEU + 3.52% Sahariya @ 2.848
7 96.48% CEU + 3.52% Mala @ 2.858
8 96.48% CEU + 3.52% AP_Madiga @ 2.870
9 96.48% CEU + 3.52% Kharia @ 2.873
10 96.48% CEU + 3.52% Kurumba @ 2.877

Least-squares method.


Using 1 populations approximation

1 100% CEU @ 4.234
2 100% N._European @ 4.627
3 100% Orcadian @ 5.649
4 100% Orkney @ 5.718
5 100% Argyll @ 5.805
6 100% German @ 8.541
7 100% French @ 10.784
8 100% Mixed_Germanic @ 10.812
9 100% French @ 10.815
10 100% Dutch @ 11.297

Using 2 populations approximation

1 50% CEU + 50% N._European @ 4.109
2 50% German + 50% French @ 4.180
3 50% CEU + 50% CEU @ 4.234
4 50% German + 50% French @ 4.364
5 50% N._European + 50% N._European @ 4.627
6 50% N._European + 50% French @ 4.714
7 50% CEU + 50% Orkney @ 4.808
8 50% CEU + 50% Orcadian @ 4.829
9 50% N._European + 50% Orcadian @ 4.839
10 50% CEU + 50% Argyll @ 4.864

Using 3 populations approximation

1 33% N._European + 33% N._European + 33% French @ 3.393
2 33% N._European + 33% N._European + 33% French @ 3.748
3 33% Argyll + 33% German + 33% French @ 3.803
4 33% Argyll + 33% German + 33% French @ 3.880
5 33% Orkney + 33% German + 33% French @ 3.907
6 33% Orkney + 33% German + 33% French @ 3.934
7 33% CEU + 33% N._European + 33% French @ 3.939
8 33% N._European + 33% Orkney + 33% French @ 3.975
9 33% French + 33% Kent + 33% Slovenian @ 3.984
10 33% N._European + 33% Orcadian + 33% French @ 4.054

Using 4 populations approximation

1 25% N._European + 25% N._European + 25% N._European + 25% French @ 3.174
2 25% French + 25% French + 25% French + 25% FIN @ 3.453
3 25% N._European + 25% N._European + 25% N._European + 25% French @ 3.497
4 25% N._European + 25% N._European + 25% Orkney + 25% French @ 3.523
5 25% Norwegian + 25% Norwegian + 25% Hungarians + 25% IBS @ 3.558
6 25% N._European + 25% N._European + 25% Orcadian + 25% French @ 3.562
7 25% French + 25% French + 25% French + 25% FIN @ 3.629
8 25% Norwegian + 25% Norwegian + 25% French_Basque + 25% Romanians_14 @ 3.630
9 25% Norwegian + 25% Norwegian + 25% Hungarians + 25% Spanish @ 3.699
10 25% Norwegian + 25% Norwegian + 25% Hungarians + 25% Portuguese @ 3.740

Population Radar

My sample as compared to CEU.

https://i.postimg.cc/VsrYC5t8/ceu.png

[PaleoEuropean]

Using 1 populations approximation
1 100% CEU @ 4.286
2 100% N._European @ 6.424
3 100% Orcadian @ 6.770
4 100% Argyll @ 6.933
5 100% Orkney @ 7.228
6 100% German @ 8.302
7 100% French @ 9.957
8 100% French @ 9.975
9 100% Mixed_Germanic @ 12.831
10 100% Dutch @ 13.812

Using 2 populations approximation
1 50% German + 50% French @ 2.622
2 50% German + 50% French @ 2.882
3 50% Swedish + 50% N_Italian @ 2.940
4 50% CEU + 50% CEU @ 4.286
5 50% Norwegian + 50% N_Italian @ 4.560
6 50% Cornwall + 50% Hungarians @ 4.653
7 50% Dutch + 50% Slovenian @ 4.783
8 50% Slovenian + 50% Kent @ 4.830
9 50% N._European + 50% French @ 4.840
10 50% French + 50% Slovenian @ 4.876

Using 3 populations approximation
1 33% French + 33% Dutch + 33% Hungarians @ 1.264
2 33% French + 33% Mixed_Germanic + 33% Slovenian @ 1.333
3 33% French + 33% Mixed_Germanic + 33% Hungarians @ 1.388
4 33% French + 33% Dutch + 33% Slovenian @ 1.408
5 33% French + 33% Mixed_Germanic + 33% Hungarians @ 1.427
6 33% Orkney + 33% French + 33% Slovenian @ 1.562
7 33% French + 33% Mixed_Germanic + 33% Slovenian @ 1.939
8 33% Kent + 33% Kent + 33% Balkans @ 2.408
9 33% Dutch + 33% Kent + 33% Balkans @ 2.449
10 33% Kent + 33% British + 33% Balkans @ 2.573

Using 4 populations approximation
1 25% Orkney + 25% Orkney + 25% German + 25% N_Italian @ 1.581
2 25% Norwegian + 25% Norwegian + 25% Spaniards + 25% Romanians_14 @ 1.631
3 25% Argyll + 25% Argyll + 25% German + 25% N_Italian @ 1.739
4 25% Orkney + 25% Orkney + 25% French + 25% Slovenian @ 1.826
5 25% Slovenian + 25% Slovenian + 25% British_Isles + 25% French_Basque @ 2.009
6 25% French + 25% French + 25% Mixed_Germanic + 25% Hungarians @ 2.013
7 25% French + 25% French + 25% Mixed_Germanic + 25% Hungarians @ 2.055
8 25% Orkney + 25% Orkney + 25% French + 25% Hungarians @ 2.143
9 25% Norwegian + 25% Norwegian + 25% Spaniards + 25% Balkans @ 2.330
10 25% Slovenian + 25% Slovenian + 25% Kent + 25% French_Basque @ 2.340

[Chris596]

Bump

[WeirdLookingFellow]

Component %
East_European 20.43%
West_European 32.14%
Mediterranean 27.51%
West_Asian 12.77%
South_Asian 0.78%
Northeast_Asian 1.14%
Southwest_Asian 3.79%
Northwest_African 1.29%
Palaeo_African 0.16%

Mixed Mode:
1 72.27% Hungarians + 27.73% Ashkenazy_Jews @ 0.989
2 73.83% Hungarians + 26.17% Ashkenazi @ 1.055
3 77.73% Hungarians + 22.27% Morocco_Jews @ 1.495
4 57.42% TSI + 42.58% Mixed_Slav @ 1.645
5 58.98% Tuscan + 41.02% Mixed_Slav @ 1.796
6 62.11% TSI + 37.89% Russian @ 1.913
7 58.98% Tuscan + 41.02% Polish @ 1.953
8 58.20% Tuscan + 41.80% Mixed_Slav @ 2.043
9 57.42% TSI + 42.58% Polish @ 2.180
10 69.14% TSI + 30.86% Lithuanians @ 2.208

Using 1 populations approximation
1 100% Hungarians @ 9.575
2 100% Slovenian @ 9.649
3 100% Balkans @ 11.355
4 100% Romanians_14 @ 12.383
5 100% Tuscan @ 19.678
6 100% Tuscan @ 20.093
7 100% TSI @ 20.676
8 100% German @ 22.593
9 100% N_Italian @ 22.794

[alexmegas777]

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 227 populations found.
12 components mode.

--------------------------------
Component %
East_European 16.67%
West_European 31.73%
Mediterranean 31.04%
West_Asian 14.28%
South_Asian 1.01%
Northeast_Asian 0.71%
Southwest_Asian 4.56%


Mixed Mode:
1 68.36% TSI + 31.64% Polish @ 1.363
2 67.58% Slovenian + 32.42% S_Italian_Sicilian @ 1.374
3 69.92% Slovenian + 30.08% S_Italian @ 1.401
4 68.36% TSI + 31.64% Mixed_Slav @ 1.450
5 68.36% Slovenian + 31.64% Sicilian @ 1.532
6 69.92% Tuscan + 30.08% Polish @ 1.595
7 76.95% TSI + 23.05% Lithuanians @ 1.857
8 69.14% Tuscan + 30.86% Mixed_Slav @ 1.941
9 63.67% Slovenian + 36.33% C_Italian @ 1.958
10 69.92% Tuscan + 30.08% Mixed_Slav @ 1.988

Least-squares method.

Using 1 populations approximation
1 100% Romanians_14 @ 12.021
2 100% Slovenian @ 13.499
3 100% Balkans @ 13.557
4 100% Hungarians @ 14.181
5 100% Tuscan @ 14.478
6 100% Tuscan @ 14.840
7 100% TSI @ 15.404
8 100% N_Italian @ 17.810
9 100% O_Italian @ 19.112
10 100% Ashkenazy_Jews @ 21.138

Using 2 populations approximation
1 50% Hungarians + 50% Tuscan @ 2.333
2 50% Hungarians + 50% Tuscan @ 2.813
3 50% Hungarians + 50% TSI @ 2.914
4 50% Hungarians + 50% O_Italian @ 3.683
5 50% German + 50% Greek @ 3.774
6 50% Slovenian + 50% O_Italian @ 4.541
7 50% Slovenian + 50% Tuscan @ 4.562
8 50% Slovenian + 50% Tuscan @ 4.905
9 50% S_Italian + 50% FIN @ 4.965
10 50% Hungarians + 50% Ashkenazy_Jews @ 5.151

Using 3 populations approximation
1 33% Romanians_14 + 33% Slovenian + 33% Tuscan @ 1.320
2 33% Slovenian + 33% Slovenian + 33% S_Italian_Sicilian @ 1.428
3 33% Romanians_14 + 33% Slovenian + 33% TSI @ 1.572
4 33% TSI + 33% TSI + 33% Polish @ 1.616
5 33% Slovenian + 33% Hungarians + 33% S_Italian_Sicilian @ 1.623
6 33% Romanians_14 + 33% Slovenian + 33% Tuscan @ 1.628
7 33% TSI + 33% TSI + 33% Mixed_Slav @ 1.647
8 33% Slovenian + 33% Slovenian + 33% Sicilian @ 1.711
9 33% Tuscan + 33% TSI + 33% Polish @ 1.821
10 33% Tuscan + 33% TSI + 33% Mixed_Slav @ 1.877

Using 4 populations approximation
1 25% C_Italian + 25% C_Italian + 25% CEU + 25% Russian @ 1.270
2 25% C_Italian + 25% C_Italian + 25% German + 25% Mixed_Slav @ 1.517
3 25% TSI + 25% TSI + 25% N_Italian + 25% Russian @ 1.722
4 25% C_Italian + 25% C_Italian + 25% CEU + 25% Russian @ 1.754
5 25% C_Italian + 25% C_Italian + 25% German + 25% Russian @ 2.033
6 25% Tuscan + 25% Tuscan + 25% N_Italian + 25% Russian @ 2.036
7 25% C_Italian + 25% C_Italian + 25% German + 25% Polish @ 2.087
8 25% TSI + 25% TSI + 25% N_Italian + 25% Russian @ 2.223
9 25% TSI + 25% TSI + 25% TSI + 25% Lithuanians @ 2.251
10 25% C_Italian + 25% C_Italian + 25% CEU + 25% Mixed_Slav @ 2.279

[**JC**]

Components %
East_European 12.93
West_European 51.10
Mediterranean 25.36
Neo_African 0.00
West_Asian 6.46
South_Asian 1.27
Northeast_Asian 0.88
Southeast_Asian 0.00
East_African 0.00
Southwest_Asian 1.95
Northwest_African 0.00
Palaeo_African 0.05

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 227 populations found.
12 components mode.

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


Mixed Mode:
1 73.83% French + 26.17% Finnish @ 1.719
2 69.92% German + 30.08% French @ 1.867
3 70.70% German + 29.30% French @ 1.896
4 85.55% CEU + 14.45% Hungarians @ 1.953
5 82.42% CEU + 17.58% Slovenian @ 1.975
6 83.98% German + 16.02% Spaniards @ 2.148
7 91.02% CEU + 8.98% Balkans @ 2.234
8 58.98% Dutch + 41.02% Hungarians @ 2.261
9 92.58% CEU + 7.42% Mixed_Slav @ 2.284
10 94.14% CEU + 5.86% Chuvashs_16 @ 2.295

Least-squares method.

Using 1 populations approximation
1 100% CEU @ 3.776
2 100% N._European @ 4.801
3 100% German @ 5.524
4 100% Argyll @ 5.545
5 100% Orcadian @ 5.814
6 100% Orkney @ 6.089
7 100% French @ 12.367
8 100% French @ 12.523
9 100% Mixed_Germanic @ 12.552
10 100% Dutch @ 13.556

Using 2 populations approximation
1 50% Cornwall + 50% Hungarians @ 2.535
2 50% British + 50% Hungarians @ 2.573
3 50% British_Isles + 50% Hungarians @ 2.986
4 50% Dutch + 50% Slovenian @ 3.126
5 50% Kent + 50% Hungarians @ 3.137
6 50% Slovenian + 50% Kent @ 3.169
7 50% CEU + 50% German @ 3.217
8 50% Slovenian + 50% British @ 3.419
9 50% Hungarians + 50% Irish @ 3.473
10 50% Slovenian + 50% British_Isles @ 3.592

Using 3 populations approximation
1 33% German + 33% German + 33% French @ 1.964
2 33% German + 33% German + 33% French @ 2.009
3 33% Orkney + 33% Orkney + 33% Slovenian @ 2.985
4 33% CEU + 33% CEU + 33% German @ 2.996
5 33% Orcadian + 33% Orkney + 33% Slovenian @ 3.019
6 33% Orcadian + 33% Orcadian + 33% Slovenian @ 3.067
7 33% N._European + 33% German + 33% French @ 3.084
8 33% British_Isles + 33% British_Isles + 33% Balkans @ 3.156
9 33% Orkney + 33% French + 33% Slovenian @ 3.161
10 33% French + 33% French + 33% FIN @ 3.162

Using 4 populations approximation
1 25% French + 25% French + 25% French + 25% Finnish @ 1.789
2 25% Swedish + 25% Swedish + 25% Hungarians + 25% North_Italian @ 1.917
3 25% German + 25% German + 25% German + 25% French @ 2.048
4 25% German + 25% German + 25% German + 25% French @ 2.056
5 25% Orkney + 25% Orkney + 25% French + 25% Slovenian @ 2.110
6 25% Swedish + 25% Swedish + 25% Hungarians + 25% IBS @ 2.312
7 25% Orkney + 25% Orkney + 25% French + 25% Slovenian @ 2.317
8 25% Orcadian + 25% Orcadian + 25% French + 25% Slovenian @ 2.324
9 25% CEU + 25% CEU + 25% CEU + 25% Slovenian @ 2.392
10 25% German + 25% German + 25% Argyll + 25% French @ 2.403

nMonte Calculator by www.dnagenics.com
v1.1 04/02/2020

Finished reading population data. 227 populations found.
12 components mode.

--------------------------------
Distance: 2.06

59.00% CEU
31.40% German
02.40% Sardinian
02.00% French
01.60% Hungarians
01.20% Slovenian
00.60% Yemen_Jews
00.40% AP_Madiga
00.40% Selkup
00.40% Spanish
00.20% Bhil
00.20% TN_Dalit
00.20% Yukagir