No alarms and no surprises
1 Mixed_Germanic + Russian + Russian + Finnish @ 1.844955
2 Dutch + Russian + Russian + Finnish @ 2.118339
Printable View
No alarms and no surprises
1 Mixed_Germanic + Russian + Russian + Finnish @ 1.844955
2 Dutch + Russian + Russian + Finnish @ 2.118339
Admix Results (sorted):
# Population Percent
1 Southeast_Asian 78.49
2 Northeast_Asian 8.78
3 South_Asian 5.93
4 East_European 3.78
5 Southwest_Asian 1.21
6 Mediterranean 0.6
7 East_African 0.57
8 West_European 0.29
9 Neo_African 0.21
10 Palaeo_African 0.08
11 West_Asian 0.05
1 West_European 45.79
2 Mediterranean 33.87
3 East_European 9.50
4 West_Asian 8.39
5 Southwest_Asian 1.64
West_European----45.79%
Mediterranean------33.87%
East_European------9.50%
West_Asian---------8.39%
Southwest_Asian----1.64%
Northwest_African---0.61%
Neo_African ---------0.10%
East_African--------------
Palaeo_African------------
South_Asian--------------
Northeast_Asian----------
Least-squares method.
Using 1 population approximation:
1 French @ 8.051027
2 French @ 8.490770
3 CEU @ 11.727421
4 Orcadian @ 14.009427
5 N._European @ 14.018791
6 Orkney @ 14.493748
7 Argyll @ 14.510611
8 German @ 15.637795
9 Portuguese @ 16.508904
10 Spaniards @ 17.327362
11 N_Italian @ 17.467691
12 Slovenian @ 17.587505
13 French_Basque @ 17.717216
14 IBS @ 18.324879
15 Spanish @ 18.359514
16 Mixed_Germanic @ 18.956839
17 Dutch @ 19.481306
18 Tuscan @ 20.208084
19 TSI @ 20.393299
20 Tuscan @ 20.766748
Using 2 populations approximation:
1 50% N_Italian +50% Orkney @ 2.247058
Using 3 populations approximation:
1 50% German +25% N_Italian +25% Spaniards @ 1.414786
Using 4 populations approximation:
1 German + North_Italian + North_Italian + Swedish @ 0.586430
2 French_Basque + Hungarians + Mixed_Germanic + N_Italian @ 0.792522
3 Balkans + French + Kent + Spaniards @ 0.823087
4 French + French_Basque + Romanians_14 + Argyll @ 0.935468
5 Dutch + French + Hungarians + North_Italian @ 0.954670
6 Balkans + Dutch + French + Spaniards @ 0.956182
7 French + French_Basque + Romanians_14 + N._European @ 0.957623
8 French + Hungarians + Kent + North_Italian @ 0.960887
9 French_Basque + German + German + Tuscan @ 0.962954
10 Balkans + French + Mixed_Germanic + Spaniards @ 0.986705
With all due respect.. this thing seems to be way off.. Where did all this Eastern European come from?? Is it maybe deep ancestry? We have no documentation for Hungarian or Polish or any of this..
Gedmatch.Com
Dodecad V3 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.
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.
Admix Results (sorted):
# Population Percent
1 West_European 49.61
2 Mediterranean 27.02
3 East_European 14.58
4 West_Asian 6.75
5 South_Asian 1.21
Finished reading population data. 227 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 CEU @ 5.718964
2 German @ 6.413199
3 N._European @ 7.600528
4 Argyll @ 7.653700
5 Orcadian @ 7.776720
6 Orkney @ 8.171578
7 French @ 12.663768
8 French @ 13.027877
9 Slovenian @ 13.407598
10 Mixed_Germanic @ 14.985452
11 Dutch @ 15.985805
12 Hungarians @ 17.470774
13 Kent @ 18.275934
14 British_Isles @ 20.118895
15 British @ 20.347883
16 Cornwall @ 21.084616
17 Swedish @ 21.521936
18 Norwegian @ 23.126490
19 Irish @ 23.398907
20 French_Basque @ 24.091248
Using 2 populations approximation:
1 50% Hungarians +50% Kent @ 3.164591
Using 3 populations approximation:
1 50% French +25% Mixed_Germanic +25% Polish @ 1.382747
Using 4 populations approximation:
1 French + German + Hungarians + Orkney @ 1.167658
2 French + German + Hungarians + Orcadian @ 1.184730
3 French + German + Hungarians + Orcadian @ 1.315040
4 French + German + Hungarians + Orkney @ 1.321522
5 French + French + Mixed_Germanic + Polish @ 1.382747
6 French + German + Hungarians + Argyll @ 1.395325
7 Dutch + French + French + Mixed_Slav @ 1.397800
8 French + French + Mixed_Germanic + Polish @ 1.418770
9 Dutch + French + French + Polish @ 1.432998
10 Dutch + French + French + Mixed_Slav @ 1.435208
11 French + Hungarians + Argyll + Argyll @ 1.472697
12 CEU + French + German + Hungarians @ 1.503970
13 French + French + Kent + Mixed_Slav @ 1.509762
14 French + Hungarians + Orcadian + Argyll @ 1.509981
15 Cornwall + Mixed_Slav + Spaniards + Argyll @ 1.514307
16 Irish + Mixed_Slav + Spaniards + Argyll @ 1.523337
17 CEU + French + Hungarians + Argyll @ 1.525988
18 French + Hungarians + Orkney + Argyll @ 1.527730
19 Mixed_Germanic + Mixed_Germanic + Polish + Spaniards @ 1.536902
20 CEU + French + German + Hungarians @ 1.546423
Done.
Elapsed time 1.0636 seconds.
The calculator is probably not the best but we all have some eastern Euro, like we all have west asian. Part of being European.
Quote:
Originally Posted by Gooding
It appears to not be accurate for people from Britain and Ireland. I think your result of CEU is quite good though as that is Utah Whites who are a British Isles/German mix usually.
I get the CEU thingie, how is that possible :dance nerd (love this smiley sorry)
Population
East_European 14.23%
West_European 48.51%
Mediterranean 26.03%
Neo_African -
West_Asian 9.13%
South_Asian -
Northeast_Asian 0.86%
Southeast_Asian -
East_African -
Southwest_Asian 0.69%
Northwest_African 0.56%
Palaeo_African
Using 1 population approximation:
1 CEU @ 6.516209
2 German @ 6.955733
3 N._European @ 7.737276
4 Argyll @ 8.101078
5 Orcadian @ 8.681027
6 Orkney @ 9.094060
7 Slovenian @ 12.226835
8 French @ 13.651615
9 French @ 13.695391
10 Mixed_Germanic @ 14.976444
11 Dutch @ 16.496809
12 Hungarians @ 16.800240
13 Kent @ 18.836283
14 British_Isles @ 20.767460
15 British @ 20.986263
16 Cornwall @ 21.628948
17 Swedish @ 22.094446
18 Norwegian @ 23.823612
19 Irish @ 23.988302
20 Portuguese @ 25.300209
Using 2 populations approximation:
1 50% Balkans +50% Irish @ 2.660716
Using 3 populations approximation:
1 50% Orkney +25% Orkney +25% Romanians_14 @ 1.295948
Using 4 populations approximation:
1 Balkans + CEU + Mixed_Germanic + Orcadian @ 0.969785
2 Balkans + CEU + Mixed_Germanic + Orkney @ 1.008521
3 Balkans + CEU + CEU + Mixed_Germanic @ 1.037601
4 Balkans + CEU + Mixed_Germanic + Argyll @ 1.052403
5 Balkans + CEU + Dutch + Argyll @ 1.155509
6 Cornwall + Mixed_Germanic + Mixed_Slav + N_Italian @ 1.234821
7 German + Kent + Orcadian + Romanians_14 @ 1.235405
8 Balkans + Mixed_Germanic + Orcadian + Orcadian @ 1.252724
9 Dutch + German + Orkney + Romanians_14 @ 1.258104
10 Dutch + German + Orcadian + Romanians_14 @ 1.265702
11 Balkans + Cornwall + Cornwall + Hungarians @ 1.278372
12 Irish + Mixed_Germanic + Mixed_Slav + N_Italian @ 1.279172
13 German + Kent + Orkney + Romanians_14 @ 1.283620
14 German + Kent + Romanians_14 + Argyll @ 1.284037
15 Balkans + Mixed_Germanic + Orcadian + Argyll @ 1.290852
16 Orkney + Orkney + Orkney + Romanians_14 @ 1.295948
17 Balkans + CEU + CEU + Dutch @ 1.303734
18 CEU + German + Kent + Romanians_14 @ 1.304666
19 Orkney + Orkney + Romanians_14 + Argyll @ 1.334721
20 British_Isles + CEU + German + Romanians_14 @ 1.337312
In my opinion that doesn't mean that we have origins from either of them rather than a part of our genome is similar to people in certain regions. It doesnt show provenance or origin for people who dont have mixed origins or their ancestors havent moved from their place.Quote:
Originally Posted by Petalpusher
All dodecad tests were made until 2012. So obsolete to say the least.
You can still have fun with them, but anything prior to lazaridis et al. and the understanding of the calculator effect is bollocks.
Sure, i meant it's a component in the genesis of Europeans, it tries to pick up the eastern in broad terms with this particular test.Quote:
Originally Posted by Chloe
^ My reply should have been to Gooding actually
Quote:
Originally Posted by Gooding
I expected better from you benchmarkoid.Quote:
Originally Posted by Chloe
We are all Americans as well after all. Can you pass in the US? Yes !Quote:
Originally Posted by Eleonore
Mate you have an ancestors with the fucking name Wisnowska.Quote:
Originally Posted by Gooding
Dodecad V3
West European 55.22%
Mediterranean 23.73%
East European 11.61%
West Asian 8.58%
South Asian 0.67%
Southeast Asian 0.13%
Neo African 0.06%
1 Argyll (1000 Genomes) 0.88
2 Orcadian (HGDP) 1.98
3 Orkney (1000 Genomes) 2.11
4 CEU (HapMap) 2.58
5 N._European (Xing) 2.65
6 German (Dodecad) 5.99
7 Mixed_Germanic (Dodecad) 7.29
8 Dutch (Dodecad) 8.63
9 Kent (1000 Genomes) 10.61
10 French (HGDP) 12.11
11 British_Isles (Dodecad) 12.17
12 British (Dodecad) 12.49
13 French (Dodecad) 12.57
14 Cornwall (1000 Genomes) 13.13
15 Swedish (Dodecad) 14.05
I think those are my best results for any of the GEDmatch calculators.
My mum's results:
1 West_European 53.78
2 Mediterranean 23.4
3 East_European 11.61
4 West_Asian 10.35
5 Northwest_African 0.83
6 Neo_African 0.04
1 Argyll (1000 Genomes) 2.84
2 N._European (Xing) 3.36
3 CEU (HapMap) 3.55
4 Orcadian (HGDP) 3.96
5 Orkney (1000 Genomes) 4.16
6 German (Dodecad) 6.26
7 Mixed_Germanic (Dodecad) 8.02
8 Dutch (Dodecad) 9.82
9 Kent (1000 Genomes) 11.82
10 French (HGDP) 12.36
11 French (Dodecad) 12.99
12 British_Isles (Dodecad) 13.45
13 British (Dodecad) 13.75
14 Cornwall (1000 Genomes) 14.29
15 Swedish (Dodecad) 15.23
It's hard to compare like-for-like. The overfit & calc effect. have said before. 1000 genomes and Dodecad are out of sink on Oracle I think.
http://s29.postimg.org/5i2vgs29j/image.jpghttp://s23.postimg.org/gp0hzsfwr/image.jpghttp://s29.postimg.org/ftf89ftyv/v31.jpg
Admix Results (sorted):
# Population Percent
1 Mediterranean 35.70
2 West_European 23.02
3 West_Asian 20.68
4 Southwest_Asian 10.41
5 East_European 6.93
6 Northwest_African 2.77
Finished reading population data. 227 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Ashkenazy_Jews @ 6.041652
2 Ashkenazi @ 7.060810
3 Tuscan @ 8.107965
4 Tuscan @ 8.902706
5 TSI @ 9.439683
6 O_Italian @ 9.489076
7 C_Italian @ 10.679910
8 S_Italian_Sicilian @ 13.275015
9 Morocco_Jews @ 13.440388
10 Tuscan @ 14.786115
11 Sicilian @ 15.438376
12 Greek @ 15.460330
13 S_Italian @ 17.109985
14 N_Italian @ 17.867369
15 Sephardic_Jews @ 18.123594
16 Romanians_14 @ 19.084055
17 North_Italian @ 21.631311
18 Balkans @ 24.535576
19 Turkish @ 27.395041
20 Portuguese @ 27.628532
Using 2 populations approximation:
1 50% Ashkenazy_Jews +50% Tuscan @ 3.187739
Using 3 populations approximation:
1 50% O_Italian +25% Samaritians +25% Slovenian @ 1.723940
Using 4 populations approximation:
1 German + O_Italian + Samaritians + Sicilian @ 1.460840
2 Ashkenazy_Jews + Druze + Sardinian + Slovenian @ 1.467802
3 Cypriots + German + Morocco_Jews + O_Italian @ 1.481698
4 Ashkenazi + Druze + Sardinian + Slovenian @ 1.489110
5 Cypriots + German + Sephardic_Jews + Tuscan @ 1.680799
6 Druze + French_Basque + Morocco_Jews + Romanians_14 @ 1.682252
7 Morocco_Jews + North_Italian + Samaritians + Slovenian @ 1.721181
8 O_Italian + O_Italian + Samaritians + Slovenian @ 1.723940
9 Cypriots + German + Sephardic_Jews + Tuscan @ 1.725565
10 Ashkenazi + North_Italian + Samaritians + Slovenian @ 1.755064
11 Druze + Morocco_Jews + North_Italian + Slovenian @ 1.764470
12 French_Basque + Georgia_Jews + Morocco_Jews + Romanians_14 @ 1.770607
13 Balkans + Druze + French_Basque + Morocco_Jews @ 1.780563
14 Greek + Morocco_Jews + Sephardic_Jews + N._European @ 1.837899
15 Ashkenazy_Jews + German + Sephardic_Jews + Sephardic_Jews @ 1.851299
16 Ashkenazi + Iraq_Jews + Sardinian + Slovenian @ 1.859277
17 French_Basque + Iraq_Jews + Morocco_Jews + Romanians_14 @ 1.862784
18 Ashkenazy_Jews + German + S_Italian + Sephardic_Jews @ 1.895536
19 Ashkenazi + German + S_Italian_Sicilian + Sephardic_Jews @ 1.904512
20 Azerbaijan_Jews + Morocco_Jews + Sardinian + Slovenian @ 1.920581
Hey just a question if you don't mind.. Wich company did you use to get a such accurate Y-DNA result?Quote:
Originally Posted by Siginulfo
Here is mine. :)
4 way Druze-Polish-Spanish-Spanish makes sense. Druze + Spanish comes out Sicilian. Then Spanish is capturing the Portuguese part, and Polish ancestry is my remaining quarter. The African gets sucked up, and amounts to 1.25% East, 0.37% Neo-African and 0.12% PaleoAfrican = 1.74%.
# Population Percent
1 Mediterranean 36.33
2 West_European 29.82
3 East_European 12.67
4 West_Asian 12.08
5 Southwest_Asian 5.86
6 Northwest_African 1.51
7 East_African 1.25
Finished reading population data. 227 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Tuscan @ 10.439878
2 Tuscan @ 10.483774
3 TSI @ 11.486133
4 N_Italian @ 12.118563
5 O_Italian @ 13.650196
6 Romanians_14 @ 14.481263
7 Tuscan @ 16.129522
8 North_Italian @ 16.988232
9 Balkans @ 17.451427
10 C_Italian @ 18.148546
11 Ashkenazy_Jews @ 18.784306
12 Slovenian @ 19.529737
13 Portuguese @ 19.880548
14 Hungarians @ 19.995298
15 Ashkenazi @ 20.129622
16 IBS @ 21.466003
17 Spanish @ 22.271790
18 Greek @ 22.583429
19 Spaniards @ 22.668583
20 S_Italian_Sicilian @ 23.486015
Using 2 populations approximation:
1 50% C_Italian +50% Slovenian @ 4.636837
Using 3 populations approximation:
1 50% Hungarians +25% Morocco_Jews +25% Sardinian @ 1.962076
Using 4 populations approximation:
1 Druze + Polish + Spanish + Spanish @ 1.160456
2 C_Italian + French_Basque + Morocco_Jews + Polish @ 1.213673
3 Druze + Polish + Spaniards + Spanish @ 1.234654
4 Druze + IBS + Polish + Spanish @ 1.287314
5 Druze + IBS + Polish + Spaniards @ 1.335111
6 Polish + Sephardic_Jews + Spaniards + TSI @ 1.343173
7 French_Basque + Mixed_Slav + O_Italian + Sephardic_Jews @ 1.350411
8 Ashkenazi + French_Basque + Polish + Sicilian @ 1.411326
9 Druze + IBS + IBS + Polish @ 1.459146
10 Morocco_Jews + Polish + Spaniards + Tuscan @ 1.460306
11 IBS + Polish + S_Italian_Sicilian + Tuscan @ 1.462150
12 Mixed_Slav + S_Italian_Sicilian + Spanish + Tuscan @ 1.480100
13 Ashkenazi + O_Italian + Polish + Spanish @ 1.498627
14 Polish + Sephardic_Jews + Spaniards + Tuscan @ 1.517170
15 Polish + S_Italian_Sicilian + Spanish + Tuscan @ 1.542098
16 Mixed_Slav + S_Italian_Sicilian + Spaniards + Tuscan @ 1.554551
17 IBS + Mixed_Slav + S_Italian_Sicilian + Tuscan @ 1.562692
18 IBS + Polish + S_Italian_Sicilian + Tuscan @ 1.574229
19 Druze + Polish + Spaniards + Spaniards @ 1.574871
20 Sardinian + Sephardic_Jews + Slovenian + Slovenian @ 1.581996
1 West_European 41.86
2 Mediterranean 24.14
3 East_European 21.82
4 West_Asian 8.66
5 Southwest_Asian 2.01
6 South_Asian 1.17
7 Palaeo_African 0.1
8 Northeast_Asian 0.08
9 East_African 0.08
10 Northwest_African 0.04
11 Southeast_Asian 0.03
Single Population Sharing:
# Population (source) Distance
1 Slovenian (Xing) 2.34
2 Hungarians (Behar) 6.24
3 German (Dodecad) 11.02
4 CEU (HapMap) 14.65
5 N._European (Xing) 15
6 Argyll (1000 Genomes) 15.5
7 Orcadian (HGDP) 16.25
8 Orkney (1000 Genomes) 16.51
9 Balkans (Dodecad) 17.87
10 French (Dodecad) 20.3
11 Romanians_14 (Behar) 20.51
12 French (HGDP) 20.72
13 Mixed_Germanic (Dodecad) 22.07
14 FIN (1000Genomes) 22.62
15 Polish (Dodecad) 23
16 Mixed_Slav (Dodecad) 23.46
17 Dutch (Dodecad) 23.57
18 Tuscan (Xing) 24.4
19 Tuscan (Henn) 24.46
20 TSI (HapMap) 24.86
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 70.9% Hungarians (Behar) + 29.1% N._European (Xing) @ 1.12
2 78.3% Hungarians (Behar) + 21.7% Mixed_Germanic (Dodecad) @ 1.24
3 84.8% Slovenian (Xing) + 15.2% German (Dodecad) @ 1.27
4 58.7% Balkans (Dodecad) + 41.3% Swedish (Dodecad) @ 1.3
5 89.6% Slovenian (Xing) + 10.4% Orkney (1000 Genomes) @ 1.36
6 83.1% Hungarians (Behar) + 16.9% Irish (Dodecad) @ 1.36
7 89.5% Slovenian (Xing) + 10.5% Orcadian (HGDP) @ 1.37
8 79.4% Hungarians (Behar) + 20.6% Dutch (Dodecad) @ 1.39
9 88.6% Slovenian (Xing) + 11.4% CEU (HapMap) @ 1.4
10 82.2% Hungarians (Behar) + 17.8% Cornwall (1000 Genomes) @ 1.42
11 89.4% Slovenian (Xing) + 10.6% Argyll (1000 Genomes) @ 1.44
12 81.9% Hungarians (Behar) + 18.1% British (Dodecad) @ 1.45
13 81.7% Hungarians (Behar) + 18.3% British_Isles (Dodecad) @ 1.46
14 93.8% Slovenian (Xing) + 6.2% British_Isles (Dodecad) @ 1.49
15 80.9% Hungarians (Behar) + 19.1% Kent (1000 Genomes) @ 1.5
16 93.9% Slovenian (Xing) + 6.1% British (Dodecad) @ 1.5
17 89.3% Slovenian (Xing) + 10.7% N._European (Xing) @ 1.51
18 93.5% Slovenian (Xing) + 6.5% Kent (1000 Genomes) @ 1.51
19 93% Slovenian (Xing) + 7% Dutch (Dodecad) @ 1.52
20 94.4% Slovenian (Xing) + 5.6% Irish (Dodecad) @ 1.52
1 West_European 41.86
2 Mediterranean 24.14
3 East_European 21.82
4 West_Asian 8.66
5 Southwest_Asian 2.01
6 South_Asian 1.17
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Slovenian @ 2.571139
2 Hungarians @ 6.907999
3 German @ 12.276849
4 CEU @ 16.252377
5 N._European @ 16.638920
6 Argyll @ 17.222378
7 Orcadian @ 18.060289
8 Orkney @ 18.349369
9 Balkans @ 19.911499
10 French @ 22.405420
11 French @ 22.862059
12 Romanians_14 @ 22.904881
13 Mixed_Germanic @ 24.492224
14 FIN @ 24.807947
15 Polish @ 25.385614
16 Mixed_Slav @ 25.861372
17 Dutch @ 26.163574
18 Tuscan @ 27.074053
19 Tuscan @ 27.113169
20 TSI @ 27.572634
Using 2 populations approximation:
1 50% Slovenian +50% Slovenian @ 2.571139
Using 3 populations approximation:
1 50% Hungarians +25% N._European +25% Slovenian @ 0.873275
Using 4 populations approximation:
1 CEU + Lithuanian + O_Italian + Argyll @ 0.830504
2 Lithuanian + O_Italian + Orcadian + N._European @ 0.853406
3 Hungarians + Hungarians + N._European + Slovenian @ 0.873275
4 Lithuanian + O_Italian + Orkney + N._European @ 0.911431
5 Lithuanian + Tuscan + N._European + N._European @ 0.919571
6 Belorussian + German + TSI + Argyll @ 0.926123
7 Polish + Romanians_14 + N._European + N._European @ 0.927633
8 CEU + Lithuanian + O_Italian + N._European @ 0.949955
9 Lithuanian + O_Italian + Argyll + N._European @ 0.950992
10 Belorussian + German + Orkney + Tuscan @ 0.954775
11 Irish + Lithuanians + Tuscan + Slovenian @ 0.969466
12 CEU + Lithuanian + O_Italian + Orkney @ 0.971520
13 Irish + Lithuanian + Tuscan + Slovenian @ 0.992398
14 Belorussian + German + Argyll + Tuscan @ 1.008806
15 CEU + Lithuanian + O_Italian + Orcadian @ 1.011846
16 Lithuanian + O_Italian + Argyll + Argyll @ 1.016265
17 Belorussian + German + Orkney + TSI @ 1.019295
18 Lithuanians + O_Italian + Argyll + N._European @ 1.032802
19 Lithuanian + Tuscan + Argyll + N._European @ 1.040707
20 Belorussian + German + Orcadian + Tuscan @ 1.045036
I tested with both FTDNA (12 markers) and 23andMe. PF2272 is only another name for V65.Quote:
Originally Posted by leapfrogger
How good do you think this calculator is compared to the rest?Quote:
Originally Posted by Sikeliot
I think it is good.Quote:
Originally Posted by Neon Knight
Btw here is my mother:
West_European 40.96%
Mediterranean 27.32%
East_European 22.06%
West_Asian 4.32%
Southwest_Asian 1.60%
East_African 1.27%
South_Asian 0.92%
Neo_African 0.53%
Northwest_African 0.63%
Palaeo_African 0.40%
Using 1 population approximation:
1 Slovenian @ 6.858879
2 Hungarians @ 7.609221
3 German @ 14.087211
4 CEU @ 17.315912
5 N._European @ 18.321093
6 Argyll @ 18.821180
7 Orcadian @ 19.206909
8 Orkney @ 19.516533
9 Balkans @ 19.702276
10 French @ 21.534697
11 French @ 22.493176
12 Romanians_14 @ 22.983387
13 Polish @ 25.484665
14 Mixed_Germanic @ 26.337946
15 FIN @ 26.412064
16 Mixed_Slav @ 26.428547
17 N_Italian @ 26.536055
18 Portuguese @ 27.032711
19 Tuscan @ 27.435541
20 Dutch @ 27.476168
Using 2 populations approximation:
1 50% French_Basque +50% Russian @ 3.987493
Using 3 populations approximation:
1 50% German +25% Lithuanians +25% Sardinian @ 2.550755
Using 4 populations approximation:
1 French + Lithuanian + Spanish + Slovenian @ 1.587675
2 French + IBS + Lithuanian + Slovenian @ 1.600052
3 French + Lithuanian + Spanish + Slovenian @ 1.604124
4 French + Lithuanian + Spaniards + Slovenian @ 1.616366
5 French + IBS + Lithuanian + Slovenian @ 1.647610
6 French + IBS + Lithuanians + Slovenian @ 1.713691
7 Belorussian + Orkney + Spanish + Slovenian @ 1.723513
8 French + Lithuanians + Portuguese + Slovenian @ 1.725164
9 French + Lithuanian + Spaniards + Slovenian @ 1.729045
10 Belorussian + Spanish + N._European + Slovenian @ 1.740449
11 Belorussian + Orcadian + Spanish + Slovenian @ 1.752413
12 French + Lithuanians + Spanish + Slovenian @ 1.760531
13 Belorussian + IBS + Orkney + Slovenian @ 1.789982
14 French + Lithuanians + Spanish + Slovenian @ 1.814691
15 French + IBS + Lithuanians + Slovenian @ 1.815909
16 Belorussian + Spaniards + N._European + Slovenian @ 1.827483
17 French + Lithuanians + Spaniards + Slovenian @ 1.834453
18 Belorussian + Dutch + Hungarians + Spanish @ 1.842977
19 Belorussian + Dutch + Hungarians + IBS @ 1.850129
20 German + Hungarians + Polish + Spanish @ 1.857520
West_European........45.79
Mediterranean..........33.87
East_European..........9.50
West_Asian..............8.39
Southwest_Asian.......1.64
Northwest_African......0.61
Southeast_Asian.........0.10
Using 1 population approximation:
1 French @ 8.051027
2 French @ 8.490770
3 CEU @ 11.727421
4 Orcadian @ 14.009427
5 N._European @ 14.018791
6 Orkney @ 14.493748
7 Argyll @ 14.510611
8 German @ 15.637795
9 Portuguese @ 16.508904
10 Spaniards @ 17.327362
11 N_Italian @ 17.467691
12 Slovenian @ 17.587505
13 French_Basque @ 17.717216
14 IBS @ 18.324879
15 Spanish @ 18.359514
16 Mixed_Germanic @ 18.956839
17 Dutch @ 19.481306
18 Tuscan @ 20.208084
19 TSI @ 20.393299
20 Tuscan @ 20.766748
Using 2 populations approximation:
1 50% N_Italian +50% Orkney @ 2.247058
Using 3 populations approximation:
1 50% German +25% N_Italian +25% Spaniards @ 1.414786
Using 4 populations approximation:
1 German + North_Italian + North_Italian + Swedish @ 0.586430
2 French_Basque + Hungarians + Mixed_Germanic + N_Italian @ 0.792522
3 Balkans + French + Kent + Spaniards @ 0.823087
4 French + French_Basque + Romanians_14 + Argyll @ 0.935468
5 Dutch + French + Hungarians + North_Italian @ 0.954670
1 Mediterranean 35.16
2 West_European 25.53
3 West_Asian 20.47
4 East_European 10.78
5 Southwest_Asian 6.66
6 Northwest_African 1.15
7 Neo_African 0.16
8 Southeast_Asian 0.09
Single Population Sharing:
# Population (source) Distance
1 Tuscan (Xing) 7.04
2 Tuscan (Henn) 7.99
3 TSI (HapMap) 8.16
4 O_Italian (Dodecad) 9.53
5 Ashkenazy_Jews (Behar) 9.86
6 Ashkenazi (Dodecad) 11.05
7 C_Italian (Dodecad) 11.77
8 Romanians_14 (Behar) 13.03
9 Tuscan (HGDP) 13.64
10 Greek (Dodecad) 14.31
11 N_Italian (Dodecad) 14.33
12 S_Italian_Sicilian (Dodecad) 15.35
13 Sicilian (Dodecad) 16.82
14 Morocco_Jews (Behar) 17.23
15 Balkans (Dodecad) 17.83
16 S_Italian (Dodecad) 18.3
17 North_Italian (HGDP) 18.46
18 Sephardic_Jews (Behar) 20.55
19 Slovenian (Xing) 22.21
20 Hungarians (Behar) 22.88
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 59.3% S_Italian_Sicilian (Dodecad) + 40.7% Slovenian (Xing) @ 2.19
2 54.9% S_Italian (Dodecad) + 45.1% Slovenian (Xing) @ 2.59
3 76.2% Greek (Dodecad) + 23.8% Norwegian (Dodecad) @ 2.69
4 75.7% Greek (Dodecad) + 24.3% Swedish (Dodecad) @ 2.7
5 71.2% S_Italian (Dodecad) + 28.8% FIN (1000Genomes) @ 2.77
6 74.8% S_Italian_Sicilian (Dodecad) + 25.2% FIN (1000Genomes) @ 2.93
7 68.4% Greek (Dodecad) + 31.6% N._European (Xing) @ 3.03
8 66.6% Tuscan (Xing) + 33.4% Romanians_14 (Behar) @ 3.06
9 62.8% TSI (HapMap) + 37.2% Romanians_14 (Behar) @ 3.26
10 52% Cypriots (Behar) + 48% German (Dodecad) @ 3.3
11 71.5% Greek (Dodecad) + 28.5% Mixed_Germanic (Dodecad) @ 3.3
12 81.1% C_Italian (Dodecad) + 18.9% Finnish (Dodecad) @ 3.33
13 76.4% S_Italian_Sicilian (Dodecad) + 23.6% Finnish (Dodecad) @ 3.43
14 63.7% Tuscan (Henn) + 36.3% Romanians_14 (Behar) @ 3.56
15 60.2% S_Italian_Sicilian (Dodecad) + 39.8% Hungarians (Behar) @ 3.57
16 69.3% Greek (Dodecad) + 30.7% Argyll (1000 Genomes) @ 3.64
17 75.7% Greek (Dodecad) + 24.3% Irish (Dodecad) @ 3.67
18 72.4% Greek (Dodecad) + 27.6% Dutch (Dodecad) @ 3.71
19 57.2% Sicilian (Dodecad) + 42.8% Slovenian (Xing) @ 3.8
20 74.5% Greek (Dodecad) + 25.5% British_Isles (Dodecad) @ 3.8
Least-squares method.
Using 1 population approximation:
1 Tuscan @ 7.782906
2 Tuscan @ 8.859587
3 TSI @ 9.030184
4 O_Italian @ 10.473781
5 Ashkenazy_Jews @ 10.936502
6 Ashkenazi @ 12.271040
7 C_Italian @ 12.968548
8 Romanians_14 @ 14.394963
9 Tuscan @ 15.019642
10 Greek @ 15.932975
11 N_Italian @ 15.967498
12 S_Italian_Sicilian @ 17.008593
13 Sicilian @ 18.629091
14 Morocco_Jews @ 19.132071
15 Balkans @ 19.736807
16 S_Italian @ 20.320072
17 North_Italian @ 20.494141
18 Sephardic_Jews @ 22.836365
19 Slovenian @ 24.740356
20 Hungarians @ 25.479189
Using 2 populations approximation:
1 50% S_Italian +50% Slovenian @ 3.627084
Using 3 populations approximation:
1 50% Greek +25% Sephardic_Jews +25% Swedish @ 1.814954
Using 4 populations approximation:
1 Ashkenazi + Greek + TSI + Slovenian @ 1.105684
2 Balkans + Cypriots + Mixed_Germanic + S_Italian_Sicilian @ 1.235552
3 Balkans + Cypriots + Mixed_Germanic + Sicilian @ 1.245883
4 British_Isles + Cypriots + Greek + Romanians_14 @ 1.251182
5 Ashkenazi + Greek + Slovenian + Tuscan @ 1.324580
6 British + Cypriots + Greek + Romanians_14 @ 1.345268
7 Ashkenazy_Jews + Greek + TSI + Slovenian @ 1.411731
8 Balkans + Cornwall + Cypriots + Greek @ 1.419128
9 Ashkenazi + Greek + Tuscan + Slovenian @ 1.435927
10 Cypriots + Romanians_14 + S_Italian + Swedish @ 1.439973
11 Ashkenazy_Jews + German + Greek + Greek @ 1.467781
12 Cypriots + Greek + Kent + Romanians_14 @ 1.482966
13 Cypriots + Greek + Irish + Romanians_14 @ 1.486190
14 Ashkenazy_Jews + Greek + Greek + N._European @ 1.487156
15 Cornwall + Cypriots + Greek + Romanians_14 @ 1.490749
16 Balkans + British + Cypriots + Greek @ 1.498196
17 Balkans + Cypriots + Greek + Kent @ 1.508069
18 Ashkenazi + German + Greek + Greek @ 1.527030
19 Cypriots + O_Italian + Romanians_14 + N._European @ 1.544040
20 C_Italian + Cypriots + Romanians_14 + Argyll @ 1.544883
Dunno about this calc, the single population are pretty much the same as other calcs but the mixed ones are strange, I mean whats with so much Slovenian :D
Hope that it's clear enough, that this Calculator is 4 years old & the Oracles are out of sink.
So your oracle lists are not completely correct.
It bugs me that these things were not fixed and kept up to confuse people on this forum, 4 years later.
Population
East_European 2.94%
West_European 38.33%
Mediterranean 42.86%
Neo_African 1.07%
West_Asian 5.73%
South_Asian 0.76%
Northeast_Asian -
Southeast_Asian -
East_African 0.94%
Southwest_Asian -
Northwest_African 7.26%
Palaeo_African 0.11%
Single Population Sharing:
# Population (source) Distance
1 Portuguese (Dodecad) 3.69
2 IBS (1000Genomes) 6.7
3 Spanish (Dodecad) 7.43
4 Spaniards (Behar) 7.91
5 N_Italian (Dodecad) 10.81
6 North_Italian (HGDP) 11.56
7 French_Basque (HGDP) 14.98
8 Sardinian (HGDP) 15.47
9 French (Dodecad) 15.66
10 French (HGDP) 16.21
11 Tuscan (Henn) 16.61
12 TSI (HapMap) 16.8
13 Tuscan (Xing) 17.11
14 Tuscan (HGDP) 17.44
15 O_Italian (Dodecad) 17.94
16 C_Italian (Dodecad) 22.86
17 CEU (HapMap) 23.22
18 Orcadian (HGDP) 25.01
19 N._European (Xing) 25.16
20 Orkney (1000 Genomes) 25.36
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 96.1% Portuguese (Dodecad) + 3.9% Georgians (Behar) @ 2.39
2 95.8% Portuguese (Dodecad) + 4.2% Adygei (HGDP) @ 2.43
3 94.7% Portuguese (Dodecad) + 5.3% Urkarah (Xing) @ 2.46
4 96.1% Portuguese (Dodecad) + 3.9% Lezgins (Behar) @ 2.55
5 94.5% Portuguese (Dodecad) + 5.5% Stalskoe (Xing) @ 2.71
6 96% Portuguese (Dodecad) + 4% Armenians_16 (Behar) @ 2.76
7 95.3% Portuguese (Dodecad) + 4.7% Turks (Behar) @ 2.77
8 92% Portuguese (Dodecad) + 8% Romanians_14 (Behar) @ 2.81
9 95% Portuguese (Dodecad) + 5% Turkish (Dodecad) @ 2.83
10 96% Portuguese (Dodecad) + 4% Iranian (Dodecad) @ 2.85
11 96.6% Portuguese (Dodecad) + 3.4% Kalash (HGDP) @ 2.87
12 96.1% Portuguese (Dodecad) + 3.9% Armenian (Dodecad) @ 2.89
13 93.1% Portuguese (Dodecad) + 6.9% Greek (Dodecad) @ 2.92
14 93% Portuguese (Dodecad) + 7% Balkans (Dodecad) @ 2.96
15 95.8% Portuguese (Dodecad) + 4.2% Kurd (Dodecad) @ 2.98
16 82.8% Portuguese (Dodecad) + 17.2% N_Italian (Dodecad) @ 2.98
17 95.9% Portuguese (Dodecad) + 4.1% Kurd (Xing) @ 3
18 88.8% Portuguese (Dodecad) + 11.2% Tuscan (Xing) @ 3.02
19 88.7% Portuguese (Dodecad) + 11.3% TSI (HapMap) @ 3.02
20 96.4% Portuguese (Dodecad) + 3.6% Makrani (HGDP) @ 3.02
None in regards to the Oracles, unless you were in the original runs. But K12b is interesting because it has Gedrosia, Which is linked to the ANE movement & was ahead of everyone on that. Credit due.Quote:
Originally Posted by Gooding
The only Oracles I currently trust on modern population matches are Eurogenes K13,K15. MDLP K23b I'm swaying towards being half decent.
MDLP K27 which is not on Gedmtach but ran on R, Is ok.
Nothing is perfect yet though.
K13 is the one that is giving Brits & Irish better readings on Oracle. But don't know on other nations on K15. Perhaps Baltic split into East Europe helps out in East.
Is Dienekes still in the calculator making game ?Quote:
Originally Posted by Graham
No, but he's still in the game & hope he does tweak V3 a little bit or make a new calculator. Dienekes was pretty good on Gedrosia, South West Asia & Caucasus(West Asia). Ahead at the time.Quote:
Originally Posted by Alessio
Spoiler!
Spoiler!
This seems fairly correct
His blog was being perceived as being the most informative blog out there on population genetics and anthropology; hopefully he will make some new ''killer calculator'' in the near future !Quote:
Originally Posted by Graham
FTDNA
Dodecad v3:
1 West_European 54.36
2 Mediterranean 24.91
3 East_European 11.97
4 West_Asian 6.37
5 South_Asian 1.63
6 Northwest_African 0.58
7 Northeast_Asian 0.13
8 Southeast_Asian 0.03
9 East_African 0.03
Using 1 population approximation:
1 Orcadian @ 2.199
2 CEU @ 2.222
3 Orkney @ 2.396
4 Argyll @ 2.596
5 N._European @ 3.857
6 German @ 6.406
7 Mixed_Germanic @ 9.669
8 Dutch @ 10.377
9 French @ 12.510
10 Kent @ 12.560
227 iterations.
Using 2 populations approximation:
1 50% CEU +50% Orkney @ 1.775
2 50% CEU +50% Orcadian @ 1.815
3 50% CEU +50% Argyll @ 1.916
4 50% Orcadian +50% Orcadian @ 2.199
5 50% CEU +50% CEU @ 2.222
6 50% Orcadian +50% Argyll @ 2.223
7 50% Orcadian +50% Orkney @ 2.280
8 50% Orkney +50% Argyll @ 2.326
9 50% Orkney +50% Orkney @ 2.396
10 50% Orcadian +50% N._European @ 2.571
25878 iterations.
Using 3 populations approximation:
1 50% CEU +25% Orkney +25% Orkney @ 1.775
2 50% Orkney +25% CEU +25% CEU @ 1.775
3 50% CEU +25% Orcadian +25% Orkney @ 1.789
4 50% CEU +25% Orkney +25% Argyll @ 1.790
5 50% Orcadian +25% CEU +25% German @ 1.791
6 50% Orkney +25% CEU +25% German @ 1.799
7 50% CEU +25% Orcadian +25% Argyll @ 1.809
8 50% CEU +25% Orcadian +25% Orcadian @ 1.815
9 50% Orcadian +25% CEU +25% CEU @ 1.815
10 50% CEU +25% CEU +25% Orkney @ 1.870
413312 iterations.
Using 4 populations approximation:
1 CEU + CEU + Orkney + Orkney @ 1.775
2 CEU + CEU + Orcadian + Orkney @ 1.789
3 CEU + German + Orcadian + Orkney @ 1.789
4 CEU + CEU + Orkney + Argyll @ 1.790
5 CEU + German + Orcadian + Orcadian @ 1.791
6 CEU + German + Orkney + Orkney @ 1.799
7 CEU + CEU + Orcadian + Argyll @ 1.809
8 CEU + CEU + Orcadian + Orcadian @ 1.815
9 CEU + CEU + CEU + Orkney @ 1.870
10 CEU + CEU + German + Orkney @ 1.879
11 German + Orcadian + Orcadian + Orcadian @ 1.883
12 CEU + Orcadian + Orcadian + Argyll @ 1.891
13 CEU + Orcadian + Orkney + Argyll @ 1.907
14 German + Orcadian + Orcadian + Orkney @ 1.914
15 CEU + CEU + German + Orcadian @ 1.915
16 CEU + Orcadian + Orcadian + Orcadian @ 1.915
17 CEU + CEU + Argyll + Argyll @ 1.916
18 CEU + Orcadian + Orcadian + Orkney @ 1.923
19 CEU + CEU + CEU + Orcadian @ 1.928
20 CEU + Orkney + Orkney + Argyll @ 1.934
23andme
1 West_European 54.14
2 Mediterranean 24.57
3 East_European 12.3
4 West_Asian 6.34
5 South_Asian 1.17
6 Northwest_African 0.75
7 East_African 0.36
8 Northeast_Asian 0.21
9 Palaeo_African 0.09
10 Southeast_Asian 0.07
Least-squares method.
Using 1 population approximation:
1 CEU @ 2.254731
2 Argyll @ 2.603151
3 Orcadian @ 2.702274
4 Orkney @ 2.871514
5 N._European @ 3.516806
6 German @ 5.752908
7 Mixed_Germanic @ 10.029557
8 Dutch @ 10.925960
9 French @ 12.890811
10 French @ 12.986576
11 Kent @ 13.124496
12 British_Isles @ 14.798017
13 British @ 15.117420
14 Cornwall @ 15.919745
15 Swedish @ 16.514938
16 Norwegian @ 17.728075
17 Slovenian @ 17.953983
18 Irish @ 17.985485
19 Hungarians @ 22.346720
20 French_Basque @ 24.719515
Using 2 populations approximation:
1 50% CEU +50% Argyll @ 1.956479
Using 3 populations approximation:
1 50% CEU +25% German +25% Orkney @ 1.508807
Using 4 populations approximation:
1 CEU + CEU + German + Orkney @ 1.508807
2 CEU + CEU + German + Orcadian @ 1.556911
3 CEU + German + Orcadian + Orkney @ 1.573588
4 CEU + German + Orcadian + Orcadian @ 1.578999
5 CEU + German + Orkney + Orkney @ 1.590560
6 British + Hungarians + Orkney + Orkney @ 1.593146
7 British + Hungarians + Orcadian + Orkney @ 1.630573
8 Cornwall + Hungarians + Orkney + Orkney @ 1.638386
9 British_Isles + Hungarians + Orkney + Orkney @ 1.643573
10 CEU + CEU + German + Argyll @ 1.673068
11 Cornwall + Hungarians + Orcadian + Orkney @ 1.690567
12 CEU + German + Orcadian + Argyll @ 1.693032
13 CEU + German + Orkney + Argyll @ 1.699893
14 British + Hungarians + Orcadian + Orcadian @ 1.702272
15 British_Isles + Hungarians + Orcadian + Orkney @ 1.706513
16 CEU + CEU + CEU + German @ 1.747320
17 British_Isles + Hungarians + Orcadian + Orcadian @ 1.749070
18 Cornwall + Hungarians + Orcadian + Orcadian @ 1.759408
19 CEU + Hungarians + Irish + Orkney @ 1.773290
20 Hungarians + Irish + Orcadian + Orcadian @ 1.781111
Well, I think this is the most consistent set of results I've seen so far.
# Population Percent 1 Mediterranean 35.71 2 East_European 30.53 3 West_European 17.65 4 West_Asian 12.50 5 Southwest_Asian 1.81 6 Northeast_Asian 1.49
Finished reading population data. 227 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Balkans @ 9.003244
2 Romanians_14 @ 9.782205
3 Hungarians @ 22.722092
4 Greek @ 24.599932
5 Slovenian @ 26.766201
6 Mixed_Slav @ 29.595383
7 Tuscan @ 29.692465
8 O_Italian @ 30.143867
9 Polish @ 30.260689
10 Tuscan @ 30.272358
11 C_Italian @ 30.280094
12 Ashkenazy_Jews @ 30.311787
13 N_Italian @ 30.877438
14 TSI @ 30.917290
15 Tuscan @ 31.018932
16 Sicilian @ 31.362553
17 Ashkenazi @ 31.561386
18 S_Italian_Sicilian @ 32.483757
19 S_Italian @ 33.773247
20 North_Italian @ 33.907696
Using 2 populations approximation:
1 50% Belorussian +50% S_Italian @ 6.828276
Using 3 populations approximation:
1 50% Belorussian +25% S_Italian +25% Sicilian @ 6.808814
Using 4 populations approximation:
1 Balkans + Belorussian + Greek + Greek @ 6.577053
2 Belorussian + Belorussian + S_Italian + Sicilian @ 6.808814
3 Belorussian + Belorussian + S_Italian + S_Italian @ 6.828276
4 Belorussian + Greek + Romanians_14 + Romanians_14 @ 6.857303
5 Belorussian + Belorussian + Sicilian + Sicilian @ 6.913524
6 Belorussian + Belorussian + Greek + S_Italian @ 7.092023
7 Balkans + Belorussian + Greek + Romanians_14 @ 7.118814
8 Balkans + Belorussian + Romanians_14 + Sicilian @ 7.154273
9 Belorussian + Belorussian + Greek + Sicilian @ 7.201889
10 Belorussian + Romanians_14 + Romanians_14 + Sicilian @ 7.215333
11 Balkans + Belorussian + Romanians_14 + S_Italian @ 7.279765
12 Balkans + Greek + Greek + Lithuanian @ 7.283914
13 Balkans + Greek + Greek + Lithuanians @ 7.325637
14 Balkans + Balkans + Belorussian + S_Italian @ 7.430201
15 Belorussian + Greek + Greek + Romanians_14 @ 7.462210
16 Balkans + Balkans + Belorussian + Sicilian @ 7.464777
17 Belorussian + Romanians_14 + Romanians_14 + S_Italian @ 7.497361
18 Belorussian + Greek + Polish + Sicilian @ 7.559793
19 Balkans + Belorussian + Greek + Sicilian @ 7.562089
20 Greek + Greek + Lithuanian + Romanians_14 @ 7.579189
Oracle mixed mode:
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance 1 59.9% Greek (Dodecad) + 40.1% Belorussian (Behar) @ 5.27 2 53.5% Sicilian (Dodecad) + 46.5% Belorussian (Behar) @ 5.97 3 51.7% S_Italian (Dodecad) + 48.3% Belorussian (Behar) @ 6.16 4 65.7% Greek (Dodecad) + 34.3% Lithuanians (Behar) @ 6.71 5 66.8% Greek (Dodecad) + 33.2% Lithuanian (Dodecad) @ 6.75 6 86.9% Romanians_14 (Behar) + 13.1% Belorussian (Behar) @ 7.42 7 52.7% S_Italian_Sicilian (Dodecad) + 47.3% Belorussian (Behar) @ 7.49 8 86.8% Balkans (Dodecad) + 13.2% Greek (Dodecad) @ 7.51 9 55.8% Greek (Dodecad) + 44.2% Polish (Dodecad) @ 7.55 10 60.7% Sicilian (Dodecad) + 39.3% Lithuanian (Dodecad) @ 7.56 11 92.7% Balkans (Dodecad) + 7.3% Cypriots (Behar) @ 7.61 12 59.5% Sicilian (Dodecad) + 40.5% Lithuanians (Behar) @ 7.67 13 55.3% Greek (Dodecad) + 44.7% Mixed_Slav (Dodecad) @ 7.77 14 91.7% Balkans (Dodecad) + 8.3% Sicilian (Dodecad) @ 7.77 15 92.8% Balkans (Dodecad) + 7.2% Sephardic_Jews (Behar) @ 7.78 16 92.7% Balkans (Dodecad) + 7.3% S_Italian (Dodecad) @ 7.81 17 91.4% Romanians_14 (Behar) + 8.6% Lithuanian (Dodecad) @ 7.89 18 59.8% Greek (Dodecad) + 40.2% Russian (Dodecad) @ 7.9 19 66.3% Balkans (Dodecad) + 33.7% Romanians_14 (Behar) @ 7.9 20 91.3% Romanians_14 (Behar) + 8.7% Lithuanians (Behar) @ 7.95
# Population Percent
1 Mediterranean 32
2 West_Asian 25.99
3 West_European 22.98
4 East_European 10.87
5 Southwest_Asian 7.12
6 Northwest_African 0.45
7 Southeast_Asian 0.25
8 South_Asian 0.17
9 East_African 0.17
# Population (source) Distance
1 Ashkenazy_Jews (Behar) 8.4
2 Ashkenazi (Dodecad) 9.63
3 Tuscan (Xing) 11.32
4 TSI (HapMap) 12.22
5 Tuscan (Henn) 12.46
6 O_Italian (Dodecad) 13.51
7 Greek (Dodecad) 14
8 C_Italian (Dodecad) 14.06
9 Romanians_14 (Behar) 14.84
10 S_Italian_Sicilian (Dodecad) 15.67
11 Morocco_Jews (Behar) 16.09
12 Sicilian (Dodecad) 17.56
13 Tuscan (HGDP) 17.85
14 S_Italian (Dodecad) 18.21
15 N_Italian (Dodecad) 19.78
16 Balkans (Dodecad) 19.83
17 Sephardic_Jews (Behar) 20.22
18 Turkish (Dodecad) 20.65
19 Stalskoe (Xing) 20.89
20 Uzbekistan_Jews (Behar) 23.29
# Primary Population (source) Secondary Population (source) Distance
1 57.1% Cypriots (Behar) + 42.9% German (Dodecad) @ 4.34
2 50.6% Slovenian (Xing) + 49.4% Cypriots (Behar) @ 4.65
3 68.1% Ashkenazy_Jews (Behar) + 31.9% Romanians_14 (Behar) @ 5.32
4 57.9% Cypriots (Behar) + 42.1% Argyll (1000 Genomes) @ 5.36
5 64.9% Cypriots (Behar) + 35.1% Swedish (Dodecad) @ 5.43
6 63.6% Ashkenazi (Dodecad) + 36.4% Romanians_14 (Behar) @ 5.49
7 65.2% Cypriots (Behar) + 34.8% FIN (1000Genomes) @ 5.5
8 75% Ashkenazy_Jews (Behar) + 25% Balkans (Dodecad) @ 5.51
9 70.8% Ashkenazi (Dodecad) + 29.2% Balkans (Dodecad) @ 5.6
10 52.1% Slovenian (Xing) + 47.9% Druze (HGDP) @ 5.63
11 57.1% Cypriots (Behar) + 42.9% N._European (Xing) @ 5.72
12 76.5% Ashkenazi (Dodecad) + 23.5% Hungarians (Behar) @ 5.82
13 83.7% Ashkenazi (Dodecad) + 16.3% Mixed_Slav (Dodecad) @ 5.83
14 80.7% Ashkenazy_Jews (Behar) + 19.3% Hungarians (Behar) @ 5.9
15 58.4% Cypriots (Behar) + 41.6% Orcadian (HGDP) @ 5.9
16 84.1% Ashkenazi (Dodecad) + 15.9% Polish (Dodecad) @ 5.9
17 58.6% Cypriots (Behar) + 41.4% Orkney (1000 Genomes) @ 5.91
18 71.6% Tuscan (Xing) + 28.4% Turks (Behar) @ 5.92
19 67.2% Tuscan (Xing) + 32.8% Turkish (Dodecad) @ 5.92
20 56.8% Cypriots (Behar) + 43.2% CEU (HapMap) @ 5.95# Primary Population (source) Secondary Population (source) Distance
1 57.1% Cypriots (Behar) + 42.9% German (Dodecad) @ 4.34
2 50.6% Slovenian (Xing) + 49.4% Cypriots (Behar) @ 4.65
3 68.1% Ashkenazy_Jews (Behar) + 31.9% Romanians_14 (Behar) @ 5.32
4 57.9% Cypriots (Behar) + 42.1% Argyll (1000 Genomes) @ 5.36
5 64.9% Cypriots (Behar) + 35.1% Swedish (Dodecad) @ 5.43
6 63.6% Ashkenazi (Dodecad) + 36.4% Romanians_14 (Behar) @ 5.49
7 65.2% Cypriots (Behar) + 34.8% FIN (1000Genomes) @ 5.5
8 75% Ashkenazy_Jews (Behar) + 25% Balkans (Dodecad) @ 5.51
9 70.8% Ashkenazi (Dodecad) + 29.2% Balkans (Dodecad) @ 5.6
10 52.1% Slovenian (Xing) + 47.9% Druze (HGDP) @ 5.63
11 57.1% Cypriots (Behar) + 42.9% N._European (Xing) @ 5.72
12 76.5% Ashkenazi (Dodecad) + 23.5% Hungarians (Behar) @ 5.82
13 83.7% Ashkenazi (Dodecad) + 16.3% Mixed_Slav (Dodecad) @ 5.83
14 80.7% Ashkenazy_Jews (Behar) + 19.3% Hungarians (Behar) @ 5.9
15 58.4% Cypriots (Behar) + 41.6% Orcadian (HGDP) @ 5.9
16 84.1% Ashkenazi (Dodecad) + 15.9% Polish (Dodecad) @ 5.9
17 58.6% Cypriots (Behar) + 41.4% Orkney (1000 Genomes) @ 5.91
18 71.6% Tuscan (Xing) + 28.4% Turks (Behar) @ 5.92
19 67.2% Tuscan (Xing) + 32.8% Turkish (Dodecad) @ 5.92
20 56.8% Cypriots (Behar) + 43.2% CEU (HapMap) @ 5.95
Admix Results (sorted):
# Population Percent
1 Mediterranean 36.02
2 West_European 23
3 West_Asian 21.35
4 East_European 11.64
5 Southwest_Asian 7.03
6 Northwest_African 0.68
7 Southeast_Asian 0.28
Single Population Sharing:
# Population (source) Distance
1 Tuscan (Xing) 9.05
2 Ashkenazy_Jews (Behar) 9.29
3 Tuscan (Henn) 9.95
4 O_Italian (Dodecad) 10.09
5 TSI (HapMap) 10.13
6 Ashkenazi (Dodecad) 10.3
7 C_Italian (Dodecad) 10.95
8 Greek (Dodecad) 11.89
9 Romanians_14 (Behar) 12.49
10 S_Italian_Sicilian (Dodecad) 13.8
11 Tuscan (HGDP) 13.83
12 Sicilian (Dodecad) 15.09
13 N_Italian (Dodecad) 15.81
14 Morocco_Jews (Behar) 16.29
15 S_Italian (Dodecad) 16.55
16 Balkans (Dodecad) 17.75
17 Sephardic_Jews (Behar) 18.82
18 North_Italian (HGDP) 19.52
19 Slovenian (Xing) 23.98
20 Hungarians (Behar) 24.23
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 59.3% S_Italian (Dodecad) + 40.7% Slovenian (Xing) @ 2.6
2 80% Greek (Dodecad) + 20% Swedish (Dodecad) @ 2.69
3 75.4% S_Italian (Dodecad) + 24.6% Finnish (Dodecad) @ 2.82
4 80.5% Greek (Dodecad) + 19.5% Norwegian (Dodecad) @ 2.91
5 63.8% S_Italian_Sicilian (Dodecad) + 36.2% Slovenian (Xing) @ 2.93
6 78.7% S_Italian_Sicilian (Dodecad) + 21.3% Finnish (Dodecad) @ 2.93
7 64.1% S_Italian_Sicilian (Dodecad) + 35.9% Hungarians (Behar) @ 3
8 74.2% S_Italian (Dodecad) + 25.8% FIN (1000Genomes) @ 3.12
9 74.1% Greek (Dodecad) + 25.9% N._European (Xing) @ 3.17
10 55.3% Ashkenazi (Dodecad) + 44.7% Romanians_14 (Behar) @ 3.46
11 59.7% S_Italian (Dodecad) + 40.3% Hungarians (Behar) @ 3.48
12 74.2% Greek (Dodecad) + 25.8% German (Dodecad) @ 3.49
13 82.2% C_Italian (Dodecad) + 17.8% Russian (HGDP) @ 3.51
14 76.8% Greek (Dodecad) + 23.2% Mixed_Germanic (Dodecad) @ 3.6
15 74.9% Greek (Dodecad) + 25.1% Argyll (1000 Genomes) @ 3.65
16 58.4% Ashkenazy_Jews (Behar) + 41.6% Romanians_14 (Behar) @ 3.8
17 77.8% S_Italian_Sicilian (Dodecad) + 22.2% FIN (1000Genomes) @ 3.82
18 61.9% Sicilian (Dodecad) + 38.1% Slovenian (Xing) @ 3.83
19 75.4% Greek (Dodecad) + 24.6% Orkney (1000 Genomes) @ 3.83
20 74% Greek (Dodecad) + 26% CEU (HapMap) @ 3.85
Admix Results (sorted):
# Population Percent
1 Mediterranean 23.88
2 West_European 21.24
3 West_Asian 17.38
4 East_European 13.94
5 South_Asian 12.28
6 Southwest_Asian 6.53
7 Southeast_Asian 2.82
Using 1 population approximation:
1 Romanians_14 @ 18.318556
2 Ashkenazy_Jews @ 19.814116
3 Balkans @ 21.276314
4 Ashkenazi @ 21.539703
5 Tuscan @ 21.683718
6 Tuscan @ 22.703852
7 TSI @ 23.197826
8 O_Italian @ 25.173515
9 Slovenian @ 25.362617
10 Hungarians @ 25.677006
11 Stalskoe @ 25.916351
12 Morocco_Jews @ 25.951786
13 Greek @ 26.022352
14 C_Italian @ 26.704103
15 S_Italian_Sicilian @ 28.227383
16 N_Italian @ 29.035723
17 Tuscan @ 29.098083
18 Sicilian @ 29.279541
19 Uzbekistan_Jews @ 30.165428
20 Sephardic_Jews @ 30.719116
Using 2 populations approximation:
1 50% Hungarians +50% Makrani @ 9.334679
Using 3 populations approximation:
1 50% Ashkenazi +25% Polish +25% Vaish @ 2.489078
Using 4 populations approximation:
1 Georgia_Jews + Mixed_Slav + Spanish + Kashmiri_Pandit @ 1.440087
2 Georgia_Jews + IBS + Mixed_Slav + Kashmiri_Pandit @ 1.469919
3 Iranian_Jews + Mixed_Slav + Spanish + Kashmiri_Pandit @ 1.527790
4 IBS + Iranian_Jews + Polish + Kashmiri_Pandit @ 1.620353
5 Iranian_Jews + Polish + Spanish + Kashmiri_Pandit @ 1.638480
6 Georgia_Jews + IBS + Polish + Kashmiri_Pandit @ 1.642438
7 Georgia_Jews + Mixed_Slav + Spaniards + Kashmiri_Pandit @ 1.651319
8 Iraq_Jews + Mixed_Slav + Spanish + Kashmiri_Pandit @ 1.664616
9 IBS + Iranian_Jews + Mixed_Slav + Kashmiri_Pandit @ 1.664859
10 Iranian_Jews + Mixed_Slav + Spaniards + Kashmiri_Pandit @ 1.685735
11 Iraq_Jews + Polish + Portuguese + Kashmiri_Pandit @ 1.699658
12 Iraq_Jews + Polish + Spanish + Kashmiri_Pandit @ 1.738404
13 Iranian_Jews + Polish + Portuguese + Kashmiri_Pandit @ 1.764214
14 Georgia_Jews + Polish + Spanish + Kashmiri_Pandit @ 1.769117
15 IBS + Iraq_Jews + Polish + Kashmiri_Pandit @ 1.776000
16 Iranian_Jews + Polish + Spaniards + Kashmiri_Pandit @ 1.779133
17 Iraq_Jews + Mixed_Slav + Spaniards + Kashmiri_Pandit @ 1.783691
18 Burusho + IBS + Iranian_Jews + Polish @ 1.799028
19 Burusho + Iranian_Jews + Mixed_Slav + Spanish @ 1.823270
20 IBS + Iraq_Jews + Mixed_Slav + Kashmiri_Pandit @ 1.830294
edit: two modus oracle
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 66.4% Romanians_14 (Behar) + 33.6% Pathan (HGDP) @ 6.17
2 67.8% Romanians_14 (Behar) + 32.2% Bnei_Menashe_Jews (Behar) @ 6.24
3 68.9% Romanians_14 (Behar) + 31.1% Burusho (HGDP) @ 6.35
4 70.5% Romanians_14 (Behar) + 29.5% Sindhi (HGDP) @ 6.49
5 69.9% Romanians_14 (Behar) + 30.1% Pakistani (Xing) @ 6.56
6 64.2% Balkans (Dodecad) + 35.8% Bnei_Menashe_Jews (Behar) @ 6.67
7 73.3% Romanians_14 (Behar) + 26.7% Cochin_Jews (Behar) @ 6.69
8 74.5% Romanians_14 (Behar) + 25.5% Meghawal (Reich) @ 6.93
9 69.6% Romanians_14 (Behar) + 30.4% Kashmiri_Pandit (Reich) @ 6.94
10 73.3% Romanians_14 (Behar) + 26.7% Vaish (Reich) @ 7.02
11 67.1% Romanians_14 (Behar) + 32.9% Balochi (HGDP) @ 7.15
12 75.9% Romanians_14 (Behar) + 24.1% AP_Brahmin (Xing) @ 7.24
13 67.6% Romanians_14 (Behar) + 32.4% Brahui (HGDP) @ 7.26
14 63.2% Balkans (Dodecad) + 36.8% Balochi (HGDP) @ 7.27
15 63.6% Balkans (Dodecad) + 36.4% Brahui (HGDP) @ 7.29
16 75.8% Romanians_14 (Behar) + 24.2% TN_Brahmin (Xing) @ 7.36
17 59.7% Hungarians (Behar) + 40.3% Bnei_Menashe_Jews (Behar) @ 7.39
18 58.2% Hungarians (Behar) + 41.8% Makrani (HGDP) @ 7.52
19 60.1% Slovenian (Xing) + 39.9% Bnei_Menashe_Jews (Behar) @ 7.56
20 63.1% Balkans (Dodecad) + 36.9% Pathan (HGDP)