The most genetically Ancient European populations in Modern Europe

[Dunai]

Disclaimer: this study has no intent to imply who is more or less European, since being European is in my opinion not an exclusive matter of genetics. I was simply curious to analyze with Davidski's G25 method in what percentage are Modern Europeans related with Ancient Europeans. The three core populations of Ancient Europe were the Western Hunter-Gatherers, Early European Farmers and the Western Steppe Herders. I will include every modern population living in the geographic territory of Europe for at least 500 years. The order will be established by which modern populations have Ancient European admixture in the highest amount and in case of similar percentage, order of priority will be most percentage: 1. WHG, 2. EEF, 3. WSH. I modified several of the population names from Davidski's calculator for better description. Some modern European populations didn't have broader averages, so in their cases I used all the regional averages available.



Kura_Araxes,0.107753,0.128634,-0.065242,-0.045113,-0.048932,-0.00344,0.009479,-0.005154,-0.056244,-0.016948,0.003139,0.009142,-0.014222,0.003165,0.005338,-0.000442,0.012256,-0.000971,-0.002598,0.000292,0.007528,-0.004122,0.004642,-0.00237,-0.001597
Early_European_Farmers,0.117977651830018,0.1810181 18861759,0.00271526882647004,-0.101018734131967,0.051948182859461,-0.0472580222655371,-0.00442995052737612,-0.0075689153780446,0.0367836121278892,0.0809766157 370447,0.00854163106203961,0.0121616751868318,-0.0229383440771125,0.000770686966283977,-0.0411978972527725,-0.00909564603532921,0.0231562069432798,0.000741128 278370216,0.0121550015220073,-0.00919816194138807,-0.0131143576167497,0.00612699324505911,-0.00388230311799581,-0.00332577136917137,-0.00513726380478947
Clovis,0.048944,-0.294504,0.114645,0.0969,-0.097864,-0.012271,-0.259922,-0.314756,-0.011862,-0.024055,0.006496,-0.002398,-0.000743,0.010597,-0.012079,0.006232,0.008345,0.00038,-0.003268,0.005753,-0.001747,0.003586,-0.006532,-0.000723,0.003712
Ethiopia_4500BP,-0.511066,0.043668,0.000754,0.000969,-0.00277,-0.011435,0.050997,-0.045229,0.089172,-0.087838,-0.012991,-0.002997,-0.031219,0.000688,0.02158,-0.029965,0.027772,0.039273,0.00176,-0.009004,0.000374,0.006183,-0.003451,-0.00241,-0.000838
Ganj_Dareh_Neolithic,0.044012,0.06804,-0.15374,0.002369,-0.121869,0.019057,0.017391,-0.003307,-0.083037,-0.0554,-0.000325,-0.004796,0.006145,-0.009496,0.029587,0.058826,-0.008084,0.009882,0.011103,-0.036226,0.0094,-0.02708,-0.011626,-0.037917,0.025746
Han,0.0209434519408812,-0.450691955965491,-0.00871148748492472,-0.0652140125379508,0.0789686239439437,0.0382637984 94138,0.00256161595482227,-0.00553823076442288,-0.0150734068047008,-0.00328024999047329,-0.0470601650528342,-0.00666906402728299,0.00726950761743875,-0.00761053379205427,-0.0042209013492381,0.00070272483946421,0.001329917 29066134,-0.00111485963242015,-0.00177234251768669,-0.0103674728068127,0.011829125614347,0.00704820615 476023,0.0146541536739588,-0.000771193360967274,-0.00246684462421126
Iberomaurusian,-0.195093,0.083883,-0.022024,-0.086048,0.030036,-0.057284,-0.074357,0.017953,0.157811,0.003608,0.018577,-0.032521,0.078196,-0.05037,0.071036,-0.039459,0.005268,-0.066765,-0.142692,0.034592,-0.03958,-0.123133,0.071188,-0.013303,0.017939
Levant_N,0.00615,0.0168,-0.0071,-0.04625,0.01025,-0.02515,-0.00645,-0.00645,0.03675,0.02375,0.0052,-0.0088,0.02085,-0.0031,-0.01465,0.00595,0.00775,-0.00645,-0.00725,0.01445,-0.0042,0.0059,0.00125,-9e-04,-0.0037
Natufian,0.025041,0.151314,-0.035072,-0.144705,0.033545,-0.081157,-0.032196,-0.008769,0.127418,0.013668,0.037187,-0.027575,0.086818,0.001789,0.010722,-0.007955,-0.020601,-0.008995,-0.021494,0.038018,0.007237,0.00507,0.005916,0.0030 12,0.00491
Helmand,0.033009,-0.081242,-0.180641,0.120157,-0.097557,0.065539,0.0047,0.009461,0.035996,0.02678 9,-0.002273,0.003747,-0.005649,0.007982,0.003529,0.003182,0.008736,0.001 647,0.000126,-0.002001,0.001373,-0.008161,0.000246,-0.001928,-0.008023
Tepecik_Çiftlik_Neolithic,0.0097,0.01705,-0.00375,-0.0302,0.00815,-0.01225,7e-04,-0.003,0.01125,0.0318,0.0094,0.0076,-0.00785,0.00045,-0.0276,0.00355,0.01325,-0.00045,0.009,4e-04,-8e-04,0.00415,-0.0067,-0.00395,-0.00655
Western_Hunter_Gatherer,0.124636303669918,0.116278 118427329,0.1847891284681,0.189278907118569,0.1546 44323974403,0.0464352948197812,0.013160595731197,0 .0372676778522623,0.0890701311186865,0.01776802078 17303,-0.0153457059954894,-0.0158109270759181,0.0159066935596308,-0.00302769879611562,0.0533380781431052,0.058206831 0424129,0.00501978585200604,0.0163428287025227,-0.00930165576658264,0.0555891636022705,0.094458313 186294,0.0111905729299263,-0.0496072065077243,-0.160866115139267,0.0170044629435922
Western_Steppe_Herders,0.125368186256765,0.0876259 71411533,0.043638141248077,0.116234368052845,-0.0298077319148034,0.0465348587852507,0.0037601702 0891342,-0.00174708104656023,-0.0563025490588719,-0.0735973289112539,0.000858385205208011,-0.000342595064412785,-0.00118928549978548,-0.0259713250277347,0.0358883833722727,0.0160054200 511477,-0.000316702852844745,-0.000705782160478713,-0.00393258922045006,0.0144355490786198,-0.00229956704585233,-0.000830204493387021,0.0106521770217543,0.01785107 78240273,-0.00316486585307182
Yoruba,-0.630062125250819,0.0625007580664627,0.02211284762 62357,0.0167079010725635,0.000503478833874871,0.01 24739425309571,-0.0444170105927898,0.0477672403431473,-0.0488811971007258,0.032769332932607,0.00462076258 308626,0.000790246620581196,0.0230559346809037,0.0 00950835044652857,0.012523319298979,-0.00960677891384516,0.00707633344275127,0.00044911 1067832891,0.00602206792055686,-0.00299005919587556,0.00155413248445877,0.00231564 485368763,-0.00175911467946521,-0.000471030445003293,-0.000424512824894608

[Dunai]

1. Target: Latvian = Ancient European: 100%
Distance: 8.3745% / 0.08374542
56.4 Western_Steppe_Herders
21.8 Early_European_Farmers
21.8 Western_Hunter_Gatherer
2. Target: Lithuanian = Ancient European: 100%
Distance: 8.4816% / 0.08481588
54.6 Western_Steppe_Herders
25.2 Early_European_Farmers
20.2 Western_Hunter_Gatherer
3. Target: Basque = Ancient European: 100%
Distance: 4.9648% / 0.04964815
56.4 Early_European_Farmers
24.0 Western_Steppe_Herders
19.6 Western_Hunter_Gatherer
4. Target: Belarusian = Ancient European: 100%
Distance: 7.4377% / 0.07437659
52.8 Western_Steppe_Herders
29.6 Early_European_Farmers
17.6 Western_Hunter_Gatherer
5. Target: Russian_Smolensk = Ancient European: 100%
Distance: 7.3221% / 0.07322123
52.6 Western_Steppe_Herders
30.2 Early_European_Farmers
17.2 Western_Hunter_Gatherer
6. Target: Sorb = Ancient European: 100%
Distance: 6.6189% / 0.06618918
48.2 Western_Steppe_Herders
35.2 Early_European_Farmers
16.6 Western_Hunter_Gatherer
7. Target: Swedish = Ancient European: 100%
Distance: 4.7656% / 0.04765625
50.0 Western_Steppe_Herders
33.4 Early_European_Farmers
16.6 Western_Hunter_Gatherer
8. Target: Russian_Voronez = Ancient European: 100%
Distance: 6.8258% / 0.06825819
52.6 Western_Steppe_Herders
31.4 Early_European_Farmers
16.0 Western_Hunter_Gatherer
9. Target: Polish = Ancient European: 100%
Distance: 6.0599% / 0.06059861
50.6 Western_Steppe_Herders
33.4 Early_European_Farmers
16.0 Western_Hunter_Gatherer
10. Target: Icelandic = Ancient European: 100%
Distance: 5.0330% / 0.05033035
50.4 Western_Steppe_Herders
33.8 Early_European_Farmers
15.8 Western_Hunter_Gatherer
11. Target: Russian_Kursk = Ancient European: 100%
Distance: 6.5502% / 0.06550228
55.4 Western_Steppe_Herders
29.4 Early_European_Farmers
15.2 Western_Hunter_Gatherer
12. Target: Danish = Ancient European: 100%
Distance: 4.7517% / 0.04751695
49.4 Western_Steppe_Herders
35.6 Early_European_Farmers
15.0 Western_Hunter_Gatherer
13. Target: Ukrainian = Ancient European: 100%
Distance: 6.3633% / 0.06363260
52.0 Western_Steppe_Herders
33.0 Early_European_Farmers
15.0 Western_Hunter_Gatherer
14. Target: Russian_Oryol = Ancient European: 100%
Distance: 6.5994% / 0.06599366
54.4 Western_Steppe_Herders
30.6 Early_European_Farmers
15.0 Western_Hunter_Gatherer
15. Target: Norwegian = Ancient European: 100%
Distance: 4.9749% / 0.04974876
50.6 Western_Steppe_Herders
34.6 Early_European_Farmers
14.8 Western_Hunter_Gatherer
16. Target: Orcadian = Ancient European: 100%
Distance: 4.6838% / 0.04683768
48.4 Western_Steppe_Herders
37.0 Early_European_Farmers
14.6 Western_Hunter_Gatherer
17. Target: German_East = Ancient European: 100%
Distance: 4.7973% / 0.04797264
47.6 Western_Steppe_Herders
38.0 Early_European_Farmers
14.4 Western_Hunter_Gatherer
18. Target: Cornish = Ancient European: 100%
Distance: 5.0391% / 0.05039086
46.0 Western_Steppe_Herders
39.8 Early_European_Farmers
14.2 Western_Hunter_Gatherer
19. Target: Welsh = Ancient European: 100%
Distance: 4.5463% / 0.04546256
46.6 Western_Steppe_Herders
39.2 Early_European_Farmers
14.2 Western_Hunter_Gatherer
20. Target: English = Ancient European: 100%
Distance: 4.7776% / 0.04777585
47.0 Western_Steppe_Herders
38.8 Early_European_Farmers
14.2 Western_Hunter_Gatherer
21. Target: Slovakian = Ancient European: 100%
Distance: 5.0668% / 0.05066788
49.6 Western_Steppe_Herders
36.2 Early_European_Farmers
14.2 Western_Hunter_Gatherer
22. Target: French_Pas-de-Calais = Ancient European: 100%
Distance: 3.6089% / 0.03608924
44.8 Early_European_Farmers
41.2 Western_Steppe_Herders
14.0 Western_Hunter_Gatherer
23. Target: Czech = Ancient European: 100%
Distance: 4.8351% / 0.04835103
48.6 Western_Steppe_Herders
37.4 Early_European_Farmers
14.0 Western_Hunter_Gatherer
24. Target: French_Brittany = Ancient European: 100%
Distance: 4.3822% / 0.04382221
45.2 Western_Steppe_Herders
41.0 Early_European_Farmers
13.8 Western_Hunter_Gatherer
25. Target: Scottish = Ancient European: 100%
Distance: 4.8094% / 0.04809396
48.8 Western_Steppe_Herders
37.4 Early_European_Farmers
13.8 Western_Hunter_Gatherer
26. Target: Irish = Ancient European: 100%
Distance: 4.9681% / 0.04968106
49.8 Western_Steppe_Herders
36.4 Early_European_Farmers
13.8 Western_Hunter_Gatherer
27. Target: Dutch = Ancient European: 100%
Distance: 4.5368% / 0.04536752
48.8 Western_Steppe_Herders
37.6 Early_European_Farmers
13.6 Western_Hunter_Gatherer
28. Target: French_Occitanie = Ancient European: 100%
Distance: 3.4518% / 0.03451850
50.8 Early_European_Farmers
35.8 Western_Steppe_Herders
13.4 Western_Hunter_Gatherer
29. Target: German = Ancient European: 100%
Distance: 3.8874% / 0.03887396
46.0 Western_Steppe_Herders
40.8 Early_European_Farmers
13.2 Western_Hunter_Gatherer
30. Target: Shetlandic = Ancient European: 100%
Distance: 5.1891% / 0.05189124
51.0 Western_Steppe_Herders
36.6 Early_European_Farmers
12.4 Western_Hunter_Gatherer
31. Target: French_Auvergne = Ancient European: 100%
Distance: 3.1518% / 0.03151752
52.0 Early_European_Farmers
35.6 Western_Steppe_Herders
12.4 Western_Hunter_Gatherer
32. Target: French_Paris = Ancient European: 100%
Distance: 4.0133% / 0.04013301
47.4 Early_European_Farmers
40.4 Western_Steppe_Herders
12.2 Western_Hunter_Gatherer
33. Target: Slovenian = Ancient European: 100%
Distance: 4.7129% / 0.04712920
45.2 Western_Steppe_Herders
42.8 Early_European_Farmers
12.0 Western_Hunter_Gatherer
34. Target: French_Nord = Ancient European: 100%
Distance: 3.5331% / 0.03533071
46.2 Early_European_Farmers
42.0 Western_Steppe_Herders
11.8 Western_Hunter_Gatherer
35. Target: Belgian = Ancient European: 100%
Distance: 3.7838% / 0.03783831
44.8 Early_European_Farmers
43.4 Western_Steppe_Herders
11.8 Western_Hunter_Gatherer
36. Target: Austrian = Ancient European: 100%
Distance: 3.5211% / 0.03521112
45.4 Western_Steppe_Herders
42.8 Early_European_Farmers
11.8 Western_Hunter_Gatherer
37. Target: French_Alsace = Ancient European: 100%
Distance: 3.4808% / 0.03480810
46.8 Early_European_Farmers
41.8 Western_Steppe_Herders
11.4 Western_Hunter_Gatherer
38. Target: French_Seine-Maritime = Ancient European: 100%
Distance: 4.0753% / 0.04075253
45.2 Western_Steppe_Herders
43.6 Early_European_Farmers
11.2 Western_Hunter_Gatherer
39. Target: Swiss_German = Ancient European: 100%
Distance: 3.4033% / 0.03403298
47.8 Early_European_Farmers
41.2 Western_Steppe_Herders
11.0 Western_Hunter_Gatherer
40. Target: Swiss_French = Ancient European: 100%
Distance: 2.8797% / 0.02879675
52.2 Early_European_Farmers
37.2 Western_Steppe_Herders
10.6 Western_Hunter_Gatherer
41. Target: Italian_Aosta_Valley = Ancient European: 100%
Distance: 2.8777% / 0.02877669
54.2 Early_European_Farmers
37.0 Western_Steppe_Herders
8.8 Western_Hunter_Gatherer
42. Target: Bosnian = Ancient European: 100%
Distance: 4.3955% / 0.04395484
46.2 Western_Steppe_Herders
45.4 Early_European_Farmers
8.4 Western_Hunter_Gatherer
43. Target: Italian_South_Tirol = Ancient European: 100%
Distance: 2.4697% / 0.02469653
57.6 Early_European_Farmers
34.4 Western_Steppe_Herders
8.0 Western_Hunter_Gatherer
44. Target: Italian_Veneto = Ancient European: 100%
Distance: 2.2218% / 0.02221798
58.0 Early_European_Farmers
35.2 Western_Steppe_Herders
6.8 Western_Hunter_Gatherer

[Dunai]

45. Target: Estonian = Ancient European: 99.8%
Distance: 7.4139% / 0.07413850
55.6 Western_Steppe_Herders
23.8 Early_European_Farmers
20.4 Western_Hunter_Gatherer
0.2 Han
46. Target: Hungarian = Ancient European: 99.8%
Distance: 4.2921% / 0.04292124
47.2 Western_Steppe_Herders
41.0 Early_European_Farmers
11.6 Western_Hunter_Gatherer
0.2 Natufian
47. Target: Croatian = Ancient European: 99.8%
Distance: 4.4346% / 0.04434586
46.0 Western_Steppe_Herders
42.8 Early_European_Farmers
11.0 Western_Hunter_Gatherer
0.2 Natufian
48. Target: Montenegrin = Ancient European: 99.8%
Distance: 3.5761% / 0.03576121
49.2 Early_European_Farmers
43.2 Western_Steppe_Herders
7.4 Western_Hunter_Gatherer
0.2 Han
49. Target: Serbian = Ancient European: 99.8%
Distance: 4.0389% / 0.04038910
48.8 Early_European_Farmers
44.0 Western_Steppe_Herders
7.0 Western_Hunter_Gatherer
0.2 Natufian
50. Target: North_Macedonian_East = Ancient European: 99.8%
Distance: 3.1118% / 0.03111789
54.8 Early_European_Farmers
39.8 Western_Steppe_Herders
5.2 Western_Hunter_Gatherer
0.2 Levant_Neolithic
51. Target: Spanish_La_Rioja = Ancient European: 99.6%
Distance: 3.0835% / 0.03083490
60.8 Early_European_Farmers
22.8 Western_Steppe_Herders
16.0 Western_Hunter_Gatherer
0.4 Natufian
52. Target: French_Provence = Ancient European: 99.6%
Distance: 2.7283% / 0.02728319
53.2 Early_European_Farmers
37.8 Western_Steppe_Herders
8.6 Western_Hunter_Gatherer
0.4 Iberomaurusian
53. Target: Italian_Lombardy = Ancient European: 99.4%
Distance: 3.1503% / 0.03150345
60.6 Early_European_Farmers
33.6 Western_Steppe_Herders
5.2 Western_Hunter_Gatherer
0.6 Natufian
54. Target: Romanian = Ancient European: 99%
Distance: 3.2996% / 0.03299614
50.4 Early_European_Farmers
42.8 Western_Steppe_Herders
5.8 Western_Hunter_Gatherer
0.6 Levant_Neolithic
0.4 Natufian
55. Target: Spanish_Castello = Ancient European: 98.6%
Distance: 3.1357% / 0.03135704
56.2 Early_European_Farmers
29.0 Western_Steppe_Herders
13.4 Western_Hunter_Gatherer
1.4 Iberomaurusian
56. Target: Spanish_Baleares = Ancient European: 98.2%
Distance: 2.8528% / 0.02852788
56.4 Early_European_Farmers
31.6 Western_Steppe_Herders
10.2 Western_Hunter_Gatherer
1.8 Iberomaurusian
57. Target: Sardinian = Ancient European: 98.2%
Distance: 3.4152% / 0.03415163
81.6 Early_European_Farmers
13.0 Western_Hunter_Gatherer
4.2 Western_Steppe_Herders
0.8 Helmand
0.4 Iberomaurusian
58. Target: Russian_Tver = Ancient European: 98%
Distance: 6.7332% / 0.06733192
55.4 Western_Steppe_Herders
26.6 Early_European_Farmers
16.0 Western_Hunter_Gatherer
2.0 Han
59. Target: Spanish_Navarra = Ancient European: 98%
Distance: 4.4516% / 0.04451576
56.2 Early_European_Farmers
28.2 Western_Steppe_Herders
13.6 Western_Hunter_Gatherer
2.0 Iberomaurusian
60. Target: Spanish_Aragon = Ancient European: 97.8%
Distance: 3.8828% / 0.03882767
56.2 Early_European_Farmers
28.8 Western_Steppe_Herders
12.8 Western_Hunter_Gatherer
2.2 Iberomaurusian
61. Target: Moldovan = Ancient European: 97.6%
Distance: 4.0457% / 0.04045656
45.4 Western_Steppe_Herders
44.6 Early_European_Farmers
7.6 Western_Hunter_Gatherer
1.4 Natufian
1.0 Han
62. Target: Spanish_Cataluna = Ancient European: 97.4%
Distance: 3.2971% / 0.03297071
54.4 Early_European_Farmers
29.6 Western_Steppe_Herders
13.4 Western_Hunter_Gatherer
2.6 Iberomaurusian
63. Target: Spanish_Valencia = Ancient European: 97.4%
Distance: 3.3058% / 0.03305785
55.4 Early_European_Farmers
29.0 Western_Steppe_Herders
13.0 Western_Hunter_Gatherer
2.6 Iberomaurusian
64. Target: Spanish_Castilla_La_Mancha = Ancient European: 97.4%
Distance: 3.3740% / 0.03373961
56.6 Early_European_Farmers
28.8 Western_Steppe_Herders
12.0 Western_Hunter_Gatherer
2.6 Iberomaurusian
65. Target: Spanish_Ibiza = Ancient European: 97.4%
Distance: 3.1563% / 0.03156348
56.0 Early_European_Farmers
31.2 Western_Steppe_Herders
10.2 Western_Hunter_Gatherer
2.6 Iberomaurusian
66. Target: North_Macedonian_Central = Ancient European: 97%
Distance: 3.2127% / 0.03212674
54.8 Early_European_Farmers
40.8 Western_Steppe_Herders
2.0 Kura_Araxes
1.4 Western_Hunter_Gatherer
1.0 Natufian
67. Target: Spanish_Alacant = Ancient European: 96.8%
Distance: 3.3362% / 0.03336156
55.0 Early_European_Farmers
30.4 Western_Steppe_Herders
11.4 Western_Hunter_Gatherer
3.2 Iberomaurusian
68. Target: Cossack_Kuban = Ancient European: 96.6%
Distance: 6.1634% / 0.06163417
51.8 Western_Steppe_Herders
28.0 Early_European_Farmers
16.8 Western_Hunter_Gatherer
3.4 Han
69. Target: North_Macedonian_Southeast = Ancient European: 96.6%
Distance: 3.4449% / 0.03444889
54.8 Early_European_Farmers
39.0 Western_Steppe_Herders
2.8 Western_Hunter_Gatherer
2.6 Natufian
0.8 Kura_Araxes
70. Target: Finnish = Ancient European: 96.4%
Distance: 6.2675% / 0.06267503
55.0 Western_Steppe_Herders
22.8 Early_European_Farmers
18.6 Western_Hunter_Gatherer
3.6 Han
71. Target: Ingrian = Ancient European: 96%
Distance: 6.2402% / 0.06240172
55.6 Western_Steppe_Herders
22.0 Early_European_Farmers
18.4 Western_Hunter_Gatherer
4.0 Han
72. Target: Italian_Liguria = Ancient European: 96%
Distance: 3.4744% / 0.03474354
56.6 Early_European_Farmers
33.8 Western_Steppe_Herders
5.6 Western_Hunter_Gatherer
1.8 Iberomaurusian
1.8 Kura_Araxes
0.4 Natufian
73. Target: Italian_Piedmont = Ancient European: 96%
Distance: 2.1668% / 0.02166779
57.4 Early_European_Farmers
34.4 Western_Steppe_Herders
4.2 Western_Hunter_Gatherer
2.0 Kura_Araxes
2.0 Natufian
74. Target: North_Macedonian_Northwest = Ancient European: 96%
Distance: 3.3326% / 0.03332567
53.0 Early_European_Farmers
40.2 Western_Steppe_Herders
3.2 Natufian
2.8 Western_Hunter_Gatherer
0.8 Tepecik_Çiftlik_Neolithic
75. Target: Spanish_Murcia = Ancient European: 95.8%
Distance: 2.7462% / 0.02746154
56.0 Early_European_Farmers
28.2 Western_Steppe_Herders
11.6 Western_Hunter_Gatherer
4.0 Iberomaurusian
0.2 Clovis
76. Target: French_Corsica = Ancient European: 95.6%
Distance: 1.9349% / 0.01934913
62.0 Early_European_Farmers
27.6 Western_Steppe_Herders
6.0 Western_Hunter_Gatherer
2.6 Kura_Araxes
1.2 Natufian
0.6 Iberomaurusian
77. Target: Spanish_Andalucia = Ancient European: 95.4%
Distance: 3.2094% / 0.03209398
55.0 Early_European_Farmers
28.6 Western_Steppe_Herders
11.8 Western_Hunter_Gatherer
4.6 Iberomaurusian
78. Target: Russian_Kostroma = Ancient European: 95.2%
Distance: 6.5719% / 0.06571943
55.6 Western_Steppe_Herders
24.2 Early_European_Farmers
15.4 Western_Hunter_Gatherer
4.6 Han
0.2 Natufian
79. Target: Spanish_Asturias = Ancient European: 95.2%
Distance: 5.0695% / 0.05069468
53.8 Early_European_Farmers
28.2 Western_Steppe_Herders
13.2 Western_Hunter_Gatherer
4.8 Iberomaurusian
80. Target: Spanish_Galicia = Ancient European: 95.2%
Distance: 3.1969% / 0.03196939
53.4 Early_European_Farmers
30.2 Western_Steppe_Herders
11.6 Western_Hunter_Gatherer
4.8 Iberomaurusian
81. Target: Swiss_Italian = Ancient European: 95.2%
Distance: 2.1098% / 0.02109813
55.2 Early_European_Farmers
35.6 Western_Steppe_Herders
4.4 Western_Hunter_Gatherer
2.8 Natufian
1.8 Kura_Araxes
0.2 Helmand
82. Target: Bulgarian = Ancient European: 95%
Distance: 3.1917% / 0.03191668
49.6 Early_European_Farmers
40.0 Western_Steppe_Herders
5.4 Western_Hunter_Gatherer
3.4 Kura_Araxes
1.0 Natufian
0.6 Han
83. Target: Spanish_Castilla_Y_Leon = Ancient European: 94.8%
Distance: 3.7301% / 0.03730147
53.2 Early_European_Farmers
29.8 Western_Steppe_Herders
11.8 Western_Hunter_Gatherer
5.2 Iberomaurusian
84. Target: Spanish_Extremadura = Ancient European: 94.6%
Distance: 2.8623% / 0.02862274
54.0 Early_European_Farmers
29.8 Western_Steppe_Herders
10.8 Western_Hunter_Gatherer
5.4 Iberomaurusian
85. Target: Portuguese = Ancient European: 94.6%
Distance: 3.0030% / 0.03003013
54.0 Early_European_Farmers
30.0 Western_Steppe_Herders
10.6 Western_Hunter_Gatherer
5.4 Iberomaurusian
86. Target: Mordovian = Ancient European: 94.4%
Distance: 6.2279% / 0.06227910
55.4 Western_Steppe_Herders
25.0 Early_European_Farmers
14.0 Western_Hunter_Gatherer
5.6 Han
87. Target: Karelian = Ancient European: 93.2%
Distance: 6.7780% / 0.06778020
55.8 Western_Steppe_Herders
19.2 Western_Hunter_Gatherer
18.2 Early_European_Farmers
5.4 Han
1.2 Natufian
0.2 Clovis
88. Target: Vepsian = Ancient European: 92%
Distance: 7.2883% / 0.07288336
55.2 Western_Steppe_Herders
18.6 Western_Hunter_Gatherer
18.2 Early_European_Farmers
6.2 Han
1.6 Natufian
0.2 Clovis
89. Target: Albanian = Ancient European: 91.6%
Distance: 2.5413% / 0.02541253
56.0 Early_European_Farmers
33.2 Western_Steppe_Herders
5.6 Kura_Araxes
2.4 Western_Hunter_Gatherer
2.2 Tepecik_Çiftlik_Neolithic
0.4 Natufian
0.2 Helmand
90. Target: Italian_Tuscany = Ancient European: 90.2%
Distance: 1.7622% / 0.01762153
55.6 Early_European_Farmers
31.0 Western_Steppe_Herders
6.8 Kura_Araxes
3.6 Western_Hunter_Gatherer
3.0 Natufian
91. Target: Russian_Pinezhsky = Ancient European: 90%
Distance: 7.5736% / 0.07573624
55.0 Western_Steppe_Herders
18.4 Western_Hunter_Gatherer
16.6 Early_European_Farmers
7.4 Han
2.0 Natufian
0.6 Clovis

[Dunai]

92. Target: Greek_Thessaly = Ancient European: 88%
Distance: 2.2612% / 0.02261246
53.4 Early_European_Farmers
32.4 Western_Steppe_Herders
9.8 Kura_Araxes
2.2 Natufian
2.2 Western_Hunter_Gatherer
93. Target: Gagauz = Ancient European: 86%
Distance: 3.2621% / 0.03262127
44.6 Early_European_Farmers
36.2 Western_Steppe_Herders
11.6 Kura_Araxes
5.2 Western_Hunter_Gatherer
2.0 Natufian
0.4 Levant_Neolithic
94. Target: Greek_Macedonia = Ancient European: 86%
Distance: 3.0306% / 0.03030594
50.6 Early_European_Farmers
32.4 Western_Steppe_Herders
11.4 Kura_Araxes
3.0 Western_Hunter_Gatherer
2.6 Natufian
95. Target: Komi = Ancient European: 84%
Distance: 7.2106% / 0.07210605
57.6 Western_Steppe_Herders
15.0 Early_European_Farmers
11.4 Western_Hunter_Gatherer
10.8 Han
2.2 Clovis
1.8 Natufian
1.2 Levant_Neolithic
96. Target: Italian_Marche = Ancient European: 82.6%
Distance: 2.0301% / 0.02030063
51.8 Early_European_Farmers
28.0 Western_Steppe_Herders
12.2 Kura_Araxes
5.2 Natufian
2.8 Western_Hunter_Gatherer
97. Target: Greek_Peloponnese = Ancient European: 82.2%
Distance: 2.2210% / 0.02221016
51.2 Early_European_Farmers
29.2 Western_Steppe_Herders
12.6 Kura_Araxes
4.8 Natufian
1.8 Western_Hunter_Gatherer
0.2 Ganj_Dareh_Neolithic
0.2 Han
98. Target: Italian_Lazio = Ancient European: 82%
Distance: 2.0166% / 0.02016640
54.0 Early_European_Farmers
24.8 Western_Steppe_Herders
10.6 Kura_Araxes
5.2 Natufian
3.2 Western_Hunter_Gatherer
2.2 Ganj_Dareh_Neolithic
99. Target: Turkish_Deliorman = Ancient European: 81.6%
Distance: 3.0631% / 0.03063066
38.4 Western_Steppe_Herders
36.8 Early_European_Farmers
10.6 Kura_Araxes
4.8 Han
4.4 Natufian
3.4 Western_Hunter_Gatherer
1.6 Tepecik_Çiftlik_Neolithic
100. Target: Italian_Molise = Ancient European: 77.8%
Distance: 1.6736% / 0.01673591
50.8 Early_European_Farmers
25.4 Western_Steppe_Herders
15.6 Kura_Araxes
5.0 Natufian
1.6 Ganj_Dareh_Neolithic
1.6 Western_Hunter_Gatherer
101. Target: Italian_Abruzzo = Ancient European: 76.8%
Distance: 1.6260% / 0.01626012
50.2 Early_European_Farmers
24.8 Western_Steppe_Herders
15.0 Kura_Araxes
6.2 Natufian
2.0 Ganj_Dareh_Neolithic
1.8 Western_Hunter_Gatherer
102. Target: Turkish_Rumelia = Ancient European: 76.8%
Distance: 2.0958% / 0.02095808
39.4 Early_European_Farmers
36.4 Western_Steppe_Herders
6.2 Levant_Neolithic
5.4 Han
5.4 Kura_Araxes
3.4 Ganj_Dareh_Neolithic
2.8 Natufian
1.0 Western_Hunter_Gatherer
103. Target: Tatar_Volga = Ancient European: 76.4%
Distance: 5.7730% / 0.05773023
51.4 Western_Steppe_Herders
18.2 Early_European_Farmers
14.6 Han
7.6 Levant_Neolithic
6.8 Western_Hunter_Gatherer
1.4 Clovis
104. Target: Italian_Umbria = Ancient European: 74.4%
Distance: 1.5732% / 0.01573190
54.0 Early_European_Farmers
27.6 Western_Steppe_Herders
12.0 Kura_Araxes
2.8 Western_Hunter_Gatherer
2.6 Natufian
0.6 Iberomaurusian
0.4 Ganj_Dareh_Neolithic
105. Target: Maltese = Ancient European: 73%
Distance: 1.6941% / 0.01694051
49.4 Early_European_Farmers
22.8 Western_Steppe_Herders
9.2 Natufian
8.6 Kura_Araxes
5.8 Ganj_Dareh_Neolithic
3.4 Iberomaurusian
0.8 Western_Hunter_Gatherer
106. Target: Besermyan = Ancient European: 72.8%
Distance: 7.7230% / 0.07722976
57.4 Western_Steppe_Herders
14.4 Han
10.0 Early_European_Farmers
5.6 Levant_Neolithic
5.4 Western_Hunter_Gatherer
3.8 Tepecik_Çiftlik_Neolithic
3.4 Clovis
107. Target: Saami = Ancient European: 72.2%
Distance: 9.4903% / 0.09490277
52.2 Western_Steppe_Herders
16.6 Han
16.6 Western_Hunter_Gatherer
5.4 Clovis
4.8 Levant_Neolithic
3.4 Early_European_Farmers
1.0 Natufian
108. Target: Italian_Basilicata = Ancient European: 72.2%
Distance: 1.4773% / 0.01477290
49.0 Early_European_Farmers
22.0 Western_Steppe_Herders
18.4 Kura_Araxes
7.0 Natufian
2.4 Ganj_Dareh_Neolithic
1.2 Western_Hunter_Gatherer
109. Target: Chuvash = Ancient European: 72%
Distance: 10.8062% / 0.10806228
53.4 Western_Steppe_Herders
16.4 Han
9.8 Early_European_Farmers
7.8 Western_Hunter_Gatherer
7.0 Tepecik_Çiftlik_Neolithic
2.4 Clovis
1.8 Levant_Neolithic
1.4 Natufian
110. Target: Italian_Apulia = Ancient European: 71.8%
Distance: 1.8014% / 0.01801425
48.6 Early_European_Farmers
21.6 Western_Steppe_Herders
20.6 Kura_Araxes
6.8 Natufian
1.6 Western_Hunter_Gatherer
0.8 Ganj_Dareh_Neolithic
111. Target: Italian_Campania = Ancient European: 71.2%
Distance: 1.5358% / 0.01535764
49.4 Early_European_Farmers
20.8 Western_Steppe_Herders
16.6 Kura_Araxes
8.2 Natufian
4.0 Ganj_Dareh_Neolithic
1.0 Western_Hunter_Gatherer
112. Target: Sicilian_West = Ancient European: 71%
Distance: 2.2569% / 0.02256886
46.4 Early_European_Farmers
19.6 Western_Steppe_Herders
14.2 Kura_Araxes
9.0 Natufian
5.0 Western_Hunter_Gatherer
4.0 Ganj_Dareh_Neolithic
1.4 Iberomaurusian
0.4 Helmand
113. Target: Udmurt = Ancient European: 69.2%
Distance: 8.7647% / 0.08764690
59.8 Western_Steppe_Herders
14.6 Han
6.6 Levant_Neolithic
5.4 Tepecik_Çiftlik_Neolithic
5.0 Western_Hunter_Gatherer
4.6 Early_European_Farmers
4.0 Clovis
114. Target: Italian_Calabria = Ancient European: 69.2%
Distance: 1.6885% / 0.01688513
49.4 Early_European_Farmers
19.6 Western_Steppe_Herders
18.8 Kura_Araxes
7.0 Natufian
3.2 Ganj_Dareh_Neolithic
1.0 Iberomaurusian
0.8 Helmand
0.2 Western_Hunter_Gatherer
115. Target: Ashkenazi_Russia = Ancient European: 68%
Distance: 1.8029% / 0.01802887
42.4 Early_European_Farmers
25.2 Western_Steppe_Herders
13.0 Kura_Araxes
12.2 Natufian
4.4 Ganj_Dareh_Neolithic
1.8 Han
0.6 Iberomaurusian
0.4 Western_Hunter_Gatherer
116. Target: Sicilian_East = Ancient European: 67.2%
Distance: 2.1771% / 0.02177133
45.8 Early_European_Farmers
21.6 Kura_Araxes
19.0 Western_Steppe_Herders
9.4 Natufian
2.4 Western_Hunter_Gatherer
0.8 Helmand
0.6 Savanna_Pastoral_Neolithic
0.4 Ganj_Dareh_Neolithic
117. Target: Ashkenazi_Lithuania = Ancient European: 67%
Distance: 1.6123% / 0.01612328
42.8 Early_European_Farmers
23.6 Western_Steppe_Herders
12.8 Natufian
11.6 Kura_Araxes
7.0 Ganj_Dareh_Neolithic
1.6 Han
0.6 Western_Hunter_Gatherer
118. Target: Ashkenazi_Belarus = Ancient European: 66.2%
Distance: 1.4800% / 0.01479994
41.6 Early_European_Farmers
23.6 Western_Steppe_Herders
13.2 Kura_Araxes
11.4 Natufian
5.4 Ganj_Dareh_Neolithic
3.8 Levant_Neolithic
1.0 Western_Hunter_Gatherer
119. Target: Ashkenazi_Ukraine = Ancient European: 65.8%
Distance: 2.1806% / 0.02180590
40.8 Early_European_Farmers
23.8 Western_Steppe_Herders
13.0 Natufian
12.8 Kura_Araxes
5.0 Ganj_Dareh_Neolithic
2.0 Tepecik_Çiftlik_Neolithic
1.2 Levant_Neolithic
1.2 Western_Hunter_Gatherer
0.2 Iberomaurusian
120. Target: Ashkenazi_Poland = Ancient European: 64.6%
Distance: 2.0470% / 0.02047046
41.0 Early_European_Farmers
22.8 Western_Steppe_Herders
14.8 Kura_Araxes
13.2 Natufian
4.8 Ganj_Dareh_Neolithic
2.2 Levant_Neolithic
0.8 Western_Hunter_Gatherer
0.4 Iberomaurusian
121. Target: Ashkenazi_Germany = Ancient European: 64.2%
Distance: 1.3037% / 0.01303701
44.6 Early_European_Farmers
18.8 Western_Steppe_Herders
13.6 Kura_Araxes
13.6 Natufian
7.4 Ganj_Dareh_Neolithic
1.0 Iberomaurusian
0.8 Western_Hunter_Gatherer
0.2 Han
122. Target: Greek_Crete = Ancient European: 63.4%
Distance: 1.7397% / 0.01739693
43.8 Early_European_Farmers
25.2 Kura_Araxes
19.6 Western_Steppe_Herders
8.2 Natufian
3.2 Ganj_Dareh_Neolithic
123. Target: Tatar_Crimean = Ancient European: 57.8%
Distance: 5.1088% / 0.05108841
38.4 Western_Steppe_Herders
24.0 Han
19.4 Early_European_Farmers
9.6 Levant_Neolithic
7.4 Tepecik_Çiftlik_Neolithic
1.0 Clovis
0.2 Helmand
124. Target: Sephardic_Jew = Ancient European: 57.2%
Distance: 2.0582% / 0.02058220
42.8 Early_European_Farmers
19.2 Kura_Araxes
14.4 Western_Steppe_Herders
13.0 Natufian
8.0 Ganj_Dareh_Neolithic
2.6 Iberomaurusian
125. Target: Mari = Ancient European: 57%
Distance: 14.5741% / 0.14574108
51.0 Western_Steppe_Herders
18.4 Han
9.4 Tepecik_Çiftlik_Neolithic
8.0 Western_Hunter_Gatherer
6.2 Levant_Neolithic
4.6 Clovis
2.4 Natufian
126. Target: Greek_Dodecanese = Ancient European: 56.8%
Distance: 1.4810% / 0.01481024
44.4 Early_European_Farmers
29.2 Kura_Araxes
12.4 Western_Steppe_Herders
7.8 Natufian
6.2 Ganj_Dareh_Neolithic
127. Target: Turkish_Istanbul = Ancient European: 51.8%
Distance: 1.5203% / 0.01520317
32.0 Kura_Araxes
29.6 Early_European_Farmers
22.0 Western_Steppe_Herders
5.4 Han
4.6 Natufian
3.8 Ganj_Dareh_Neolithic
2.4 Helmand
0.2 Western_Hunter_Gatherer
128. Target: Bashkir = Ancient European: 49.8%
Distance: 8.6771% / 0.08677103
45.6 Western_Steppe_Herders
27.8 Han
11.8 Levant_Neolithic
6.2 Tepecik_Çiftlik_Neolithic
4.4 Clovis
3.0 Early_European_Farmers
1.2 Western_Hunter_Gatherer
129. Target: Roma_Balkans = Ancient European: 49.6%
Distance: 2.0269% / 0.02026916
33.8 Helmand
29.8 Early_European_Farmers
17.0 Western_Steppe_Herders
11.0 Kura_Araxes
5.0 Natufian
2.8 Western_Hunter_Gatherer
0.6 Han
130. Target: Darginian = Ancient European: 39.4%
Distance: 2.1856% / 0.02185600
59.4 Kura_Araxes
39.4 Western_Steppe_Herders
1.2 Clovis
131. Target: Cypriot = Ancient European: 39%
Distance: 1.4680% / 0.01468046
40.0 Kura_Araxes
34.2 Early_European_Farmers
15.0 Natufian
6.0 Ganj_Dareh_Neolithic
4.8 Western_Steppe_Herders
132. Target: Avar = Ancient European: 36.4%
Distance: 1.7375% / 0.01737538
61.6 Kura_Araxes
36.4 Western_Steppe_Herders
1.4 Levant_Neolithic
0.6 Clovis
133. Target: Nogai = Ancient European: 36.2%
Distance: 8.2591% / 0.08259137
38.6 Han
31.6 Western_Steppe_Herders
10.8 Tepecik_Çiftlik_Neolithic
10.0 Levant_Neolithic
4.6 Early_European_Farmers
3.0 Clovis
1.4 Kura_Araxes
134. Target: Lak = Ancient European: 36%
Distance: 1.5582% / 0.01558245
62.0 Kura_Araxes
36.0 Western_Steppe_Herders
1.8 Han
0.2 Clovis
135. Target: Tabasaran = Ancient European: 33.8%
Distance: 1.4103% / 0.01410344
61.8 Kura_Araxes
33.6 Western_Steppe_Herders
3.8 Levant_Neolithic
0.6 Clovis
0.2 Early_European_Farmers
136. Target: Kumyk = Ancient European: 30.4%
Distance: 2.1478% / 0.02147778
60.6 Kura_Araxes
23.2 Western_Steppe_Herders
7.2 Early_European_Farmers
5.4 Han
2.0 Levant_Neolithic
1.6 Natufian
137. Target: Kabardin = Ancient European: 28.2%
Distance: 2.8883% / 0.02888299
64.4 Kura_Araxes
17.8 Western_Steppe_Herders
8.2 Early_European_Farmers
6.6 Han
2.2 Western_Hunter_Gatherer
0.8 Clovis
138. Target: Chechen = Ancient European: 28.2%
Distance: 2.1936% / 0.02193649
68.8 Kura_Araxes
25.6 Western_Steppe_Herders
3.0 Han
2.6 Early_European_Farmers
139. Target: Cherkess = Ancient European: 26.6%
Distance: 3.1861% / 0.03186116
66.6 Kura_Araxes
18.6 Western_Steppe_Herders
6.4 Han
5.6 Early_European_Farmers
2.4 Western_Hunter_Gatherer
0.4 Clovis
140. Target: Ingushian = Ancient European: 25.8%
Distance: 2.7625% / 0.02762492
70.2 Kura_Araxes
21.8 Western_Steppe_Herders
3.8 Early_European_Farmers
3.6 Han
0.2 Clovis
0.2 Natufian
0.2 Western_Hunter_Gatherer
141. Target: Karachay = Ancient European: 23.4%
Distance: 3.0875% / 0.03087527
69.2 Kura_Araxes
16.8 Western_Steppe_Herders
6.4 Han
4.6 Early_European_Farmers
2.0 Western_Hunter_Gatherer
0.6 Clovis
0.4 Tepecik_Çiftlik_Neolithic
142. Target: Balkar = Ancient European: 23.2%
Distance: 3.0145% / 0.03014509
70.0 Kura_Araxes
18.0 Western_Steppe_Herders
5.6 Han
3.0 Early_European_Farmers
2.2 Western_Hunter_Gatherer
1.2 Clovis
143. Target: North_Ossetian = Ancient European: 15.8%
Distance: 3.8345% / 0.03834520
78.4 Kura_Araxes
13.6 Western_Steppe_Herders
5.8 Han
2.2 Western_Hunter_Gatherer

[MandM]

I think I was closest to Montenegro
Target: Milenko
Distance: 3.4319% / 0.03431938
49.2 Early_European_Farmers
45.8 Western_Steppe_Herders
5.0 Western_Hunter_Gatherer

[MechtoidAfalouHG]

Target: daos_scaled
Distance: 5.6415% / 0.05641527
50.6 Western_Steppe_Herders
35.4 Early_European_Farmers
12.6 Western_Hunter_Gatherer
1.4 Han


1 percent yellow

[Dunai]

It's rather interesting to see that Northeast Europeans have preserved even more WHG ancestry than Northwestern Europeans, while Southern Europeans also have inherited plenty mainly ancient Asiatic admixture, but also some African. To me it was somewhat a surprise that many Italian and Greek regions do have a quarter or even 1/3 Ancient Asiatic ancestry.

[Leto]

It's rather interesting to see that Northeast Europeans have preserved even more WHG ancestry than Northwestern Europeans, while Southern Europeans also have inherited plenty mainly ancient Asiatic admixture, but also some African. To me it was somewhat a surprise that many Italian and Greek regions do have a quarter or even 1/3 Ancient Asiatic ancestry.
The so called Asiatic is all Caucasoid though, not Mongoloid.

[Dunai]

The so called Asiatic is all Caucasoid though, not Mongoloid.

The Caucasus is geographically in Asia though, also these types are most prevalent in other Asiatic populations. Asia is a very diverse place, from East Asian to Arab types.

[catgeorge]

Caucasus is its own region as they are largely influenced by Ukraine/Russian types and Persian types.

The only outlier is Azerbaijan which is more heavily Asian.

[Dunai]

Caucasus is its own region as they are largely influenced by Ukraine/Russian types and Persian types.

The only outlier is Azerbaijan which is more heavily Asian.

If we look at their averages, there isn't that much Ancient European admixture in people living in the Caucasus:

Target: Azeri = Ancient European: 23.4%
Distance: 1.6616% / 0.01661600
48.0 Kura_Araxes
13.8 Early_European_Farmers
13.8 Ganj_Dareh_Neolithic
9.6 Western_Steppe_Herders
8.2 Natufian
5.8 Han
0.6 Helmand
0.2 Clovis

Target: Armenian = Ancient European: 16%
Distance: 1.8304% / 0.01830429
70.8 Kura_Araxes
16.0 Early_European_Farmers
8.0 Natufian
5.2 Ganj_Dareh_Neolithic

Target: Georgian_Laz = Ancient European: 12.4%
Distance: 2.5269% / 0.02526903
87.4 Kura_Araxes
12.0 Early_European_Farmers
0.4 Western_Hunter_Gatherer
0.2 Natufian

Target: Georgian_Imer = Ancient European: 2.8%
Distance: 3.6488% / 0.03648795
97.2 Kura_Araxes
2.4 Early_European_Farmers
0.4 Western_Hunter_Gatherer

Target: Abkhasian = Ancient European: 2.8%
Distance: 3.8771% / 0.03877130
93.6 Kura_Araxes
2.2 Western_Hunter_Gatherer
2.0 Western_Steppe_Herders
1.8 Han
0.4 Clovis

[Leto]

If we look at their averages, there isn't that much Ancient European admixture in people living in the Caucasus:
The Armenians and Azeris are not even Caucasians properly speaking. Check out Chechens, Ingush, Avars, Dargins, Laks, Tabasarans, Kabardins, Adyghe, etc. I didn't mention the Turkic-speaking groups.

[Dunai]

Yes, but they live north of the Caucasus area, in Southern Russia, which is geographically already Europe. They are also 2/3 Ancient Asian, only 1/3 Ancient European. Look at their results I posted. The Caucasus region is indeed very special, as it borders Europe and Asia, however only some Southern Europeans have Ancient Caucasus origin, while this type is very widespread in Western Asia.

[Leto]

Ah yes, I didn't go through the list carefully. Yes, they score a lot more European.

Interesting how the Roma are straight up half white xD

129. Target: Roma_Balkans = Ancient European: 49.6%
Distance: 2.0269% / 0.02026916
33.8 Helmand
29.8 Early_European_Farmers
17.0 Western_Steppe_Herders
11.0 Kura_Araxes
5.0 Natufian
2.8 Western_Hunter_Gatherer
0.6 Han

What is Helmand though? Never heard this label before.

[Nurzat]

more interesting to see Western Hunter Gatherer plus Western Steppe Herders only, as farmer populations are of somewhat recent Anatolian/Mesopotamian expansion but WHG and WSH are from today's European territory

[Dunai]

more interesting to see Western Hunter Gatherer plus Western Steppe Herders only, as farmer populations are of somewhat recent Anatolian/Mesopotamian expansion but WHG and WSH are from today's European territory

Even though EEFs originated from Anatolia, but their movement to Europe already happened in the 7th millenium BCE, and this type is much more widespread and typical of modern European populations than in modern Western Asia, where later Bronze Age culture types from Caucasus and Iran and earlier Levant types became dominant.

[Dunai]

Ah yes, I didn't go through the list carefully. Yes, they score a lot more European.

Interesting how the Roma are straight up half white xD

129. Target: Roma_Balkans = Ancient European: 49.6%
Distance: 2.0269% / 0.02026916
33.8 Helmand
29.8 Early_European_Farmers
17.0 Western_Steppe_Herders
11.0 Kura_Araxes
5.0 Natufian
2.8 Western_Hunter_Gatherer
0.6 Han

What is Helmand though? Never heard this label before.

The Shahr-i Sokhta site belongs to broader Helmand culture, which originated in Bronze Age Iran.

[rothaer]

It's rather interesting to see that Northeast Europeans have preserved even more WHG ancestry than Northwestern Europeans, while Southern Europeans also have inherited plenty mainly ancient Asiatic admixture, but also some African. To me it was somewhat a surprise that many Italian and Greek regions do have a quarter or even 1/3 Ancient Asiatic ancestry.

This is actually an artefact that is caused by them having a higher EHG proportion than what is in your Western Steppe Herders reference. So what will the calculator do with that EHG surplus proportion? The closest component provided by you is WHG so it will assign it there. Here is a calculator that distinguishes between (and provides both) WHG and EHG and where you can see that, especially the applicable (notably lower) WHG proportion.

http://g25vahaduo.genetics.ovh/K11%2010%20kybp%20WHG-EHG%20calculator.htm

[Grace O'Malley]

26. Target: Irish = Ancient European: 100%
Distance: 4.9681% / 0.04968106
49.8 Western_Steppe_Herders
36.4 Early_European_Farmers
13.8 Western_Hunter_Gatherer

I'm very similar to the Irish average. Just a bit more WHG and less EEF.

Target: Grace_scaled
Distance: 4.8974% / 0.04897354
49.8 Western_Steppe_Herders
34.8 Early_European_Farmers
15.4 Western_Hunter_Gatherer

[Komintasavalta]

Here's European populations plotted using your model. The convex hulls are based on using the scaled coordinates of the populations to perform hierarchical clustering and then cutting the clustering tree at the height where it has 10 subtrees. Each population is connected with a line to its three closest neighbors based on the Euclidean distance of the scaled coordinates.

Latvians have the highest combined WHG and WSH so they plot the highest on the Y-axis. Udmurts have the highest WSH (59.8%), but maybe it's because they have both more EHG and more CHG than Western Europeans, and there wasn't an EHG source in your model.

Nenetses, Kalmyks, and some North Caucasian populations have 0% WHG and 0% EEF, so their points are located on the line between the WSH component and other components.

https://i.ibb.co/C9RXyvW/square-most-ancient.png


library(tidyverse)
library(ggforce) # for geom_mark_hull

t=read.csv("csv-file-copied-from-multi-tab",row.names=1,check.names=F,header=T)

dist=t[,1]
t=t[,-1]
t=t/100
t=t[-nrow(t),]

t=cbind(t[,c(2,11,12)],rowSums(t[,-c(2,11,12)]))
names(t)[4]="Other"
t=t[,c(3,4,1,2)]

n=ncol(t)

start=ifelse(n==4,.25,0)
corners=sapply(c(sin,cos),function(x)x(head((start +seq(0,2,length.out=n+1))*pi,-1)))
corners=corners*min(2/diff(apply(corners,2,range)))
corners[,2]=corners[,2]-mean(range(corners[,2]))

xy=as.data.frame(as.matrix(t)%*%corners)
grid=as.data.frame(rbind(cbind(corners,rbind(corne rs[-1,],corners[1,])),cbind(corners,matrix(apply(corners,2,mean),ncol =2,nrow=n,byrow=T))))

t2=read.csv("all-lines-in-target-tab",header=F,row.names=1)
dist=as.data.frame(as.matrix(dist(t2)))
seg=lapply(1:4,function(i)apply(dist,1,function(x) unlist(xy[names(sort(x)[i]),],use.names=F))%>%t%>%cbind(xy))%>%do.call(rbind,.)%>%setNames(paste0("V",1:4))
xy$k=as.factor(cutree(hclust(dist(t2)),10))

hue=c(0,30,60,90,120,170,210,240,280,330)
pal1=hcl(hue+15,110,70)
pal2=hcl(hue+15,110,50)

angle=head(seq(360,0,length.out=n+1),-1)
angle=ifelse(angle>90&angle<=270,angle+180,angle)

ggplot(xy,aes(x=V1,y=V2))+
geom_text(data=adf(corners),aes(x=V1,y=1.05*V2),vj ust=.5,hjust=(1+corners[,1])/2,label=colnames(t),size=3.2,color="gray20")+
geom_segment(data=grid,aes(x=V1,y=V2,xend=V3,yend= V4),color="gray90",size=.3)+
geom_mark_hull(aes(group=k,color=k,fill=k),concavi ty=1000,radius=unit(.3,"cm"),expand=unit(.3,"cm"),alpha=.2,size=.15)+
geom_segment(data=seg,aes(x=V1,y=V2,xend=V3,yend=V 4),color="gray20",size=.1)+
geom_point(aes(color=k),size=.5)+
geom_text(aes(label=rownames(xy),color=k),size=2,v just=-.6)+
coord_fixed(xlim=c(-1,1),ylim=c(-1,1))+
scale_fill_manual(values=pal1)+
scale_color_manual(values=pal2)+
theme(axis.text=element_blank(),axis.ticks=element _blank(),axis.title=element_blank(),panel.grid=ele ment_blank(),legend.position="none",
panel.background=element_rect(fill="white"),plot.background=element_rect(fill="white",color=NA,size=0),plot.margin=margin(0,0,0,0))

ggsave("a.png",width=7,height=7)

[Dunai]

This is actually an artefact that is caused by them having a higher EHG proportion than what is in your Western Steppe Herders reference. So what will the calculator do with that EHG surplus proportion? The closest component provided by you is WHG so it will assign it there. Here is a calculator that distinguishes between (and provides both) WHG and EHG and where you can see that, especially the applicable (notably lower) WHG proportion.

http://g25vahaduo.genetics.ovh/K11%2010%20kybp%20WHG-EHG%20calculator.htm

I actually used Davidski's standard calculator when he gives G25 results to purchasers. I welcome any other type of ancient calculators with additional populations. Can you run a few modern populations on K11, since the reference looks promising?

[rothaer]

more interesting to see Western Hunter Gatherer plus Western Steppe Herders only, as farmer populations are of somewhat recent Anatolian/Mesopotamian expansion but WHG and WSH are from today's European territory

It could be determined that these farmers are derived from local Hunter Gatherers in Anatolia (individual ZBC, Pinarbasi, 15 ky) without any notable contribution from Mesopotamia. Later Barcin individuals are then just somewhat different, but it's not about a Mesopotamian contribution.

Now, Barcin is extremely close to Europe and unfortunately it lacks contemporary finds from the part of Europe, that is closest to Barcin (Greece, Thrakia). It seems well possible that there was a population similar to Barcin. This implicates that it is possible, that also that expanding farmer population actually came from inside Europe. And this does not seem very unlikely.

[rothaer]

I actually used Davidski's standard calculator when he gives G25 results to purchasers. I welcome any other type of ancient calculators with additional populations. Can you run a few modern populations on K11, since the reference looks promising?

Yep. Follows. I'm convinced that Davidski constructed his standard model that way only because that also was performed in academic papers to provide comparable results. But that calculators did just allow WHG or steppe with a fixated EHG proportion so it can produce these artefacts for WHG.

Results of some selected moderns (and me):

Target: Finnish_East
Distance: 6.4077% / 0.06407722
51.6 EHG=RUS_Karelia_HG
33.0 ENF=Anatolia_Barcin_N
6.8 WHG=BEL_Loschbour
5.0 CHG=GEO_CHG
3.6 EA=RUS_Devils_Gate_Cave_N

Target: German_East
Distance: 6.1388% / 0.06138822
47.2 ENF=Anatolia_Barcin_N
36.2 EHG=RUS_Karelia_HG
9.2 CHG=GEO_CHG
7.4 WHG=BEL_Loschbour

Target: German
Distance: 5.6875% / 0.05687510
49.4 ENF=Anatolia_Barcin_N
33.6 EHG=RUS_Karelia_HG
9.4 CHG=GEO_CHG
7.6 WHG=BEL_Loschbour

Target: Greek
Distance: 3.2277% / 0.03227692
60.8 ENF=Anatolia_Barcin_N
21.6 EHG=RUS_Karelia_HG
16.0 CHG=GEO_CHG
1.6 Natufian=Levant_Natufian

Target: Italian_Lazio
Distance: 3.3950% / 0.03394961
61.4 ENF=Anatolia_Barcin_N
16.2 EHG=RUS_Karelia_HG
15.8 CHG=GEO_CHG
5.6 Natufian=Levant_Natufian
1.0 WHG=BEL_Loschbour

Target: Ashkenazi_Jew
Distance: 3.3625% / 0.03362480
46.6 ENF=Anatolia_Barcin_N
20.8 CHG=GEO_CHG
18.6 Natufian=Levant_Natufian
13.8 EHG=RUS_Karelia_HG
0.2 EA=RUS_Devils_Gate_Cave_N

Target: Roma
Distance: 6.2473% / 0.06247298
35.6 ENF=Anatolia_Barcin_N
25.2 CHG=GEO_CHG
21.0 S_Asian_HG=Jarawa
14.4 EHG=RUS_Karelia_HG
3.8 Natufian=Levant_Natufian

Target: Portuguese
Distance: 4.2285% / 0.04228508
59.0 ENF=Anatolia_Barcin_N
19.6 EHG=RUS_Karelia_HG
8.4 CHG=GEO_CHG
8.2 WHG=BEL_Loschbour
4.8 Iberomaurusian=MAR_Iberomaurusian

Target: Polish
Distance: 6.8687% / 0.06868689
43.6 ENF=Anatolia_Barcin_N
40.2 EHG=RUS_Karelia_HG
8.6 CHG=GEO_CHG
7.6 WHG=BEL_Loschbour

Target: Norwegian
Distance: 6.6885% / 0.06688544
45.8 ENF=Anatolia_Barcin_N
39.6 EHG=RUS_Karelia_HG
7.4 CHG=GEO_CHG
7.2 WHG=BEL_Loschbour

Target: Croatian
Distance: 5.4056% / 0.05405590
50.6 ENF=Anatolia_Barcin_N
34.0 EHG=RUS_Karelia_HG
10.4 CHG=GEO_CHG
5.0 WHG=BEL_Loschbour

Target: English
Distance: 6.6721% / 0.06672072
48.0 ENF=Anatolia_Barcin_N
34.2 EHG=RUS_Karelia_HG
9.4 CHG=GEO_CHG
8.4 WHG=BEL_Loschbour

Target: rothaer_wife_scaled
Distance: 6.6435% / 0.06643503
42.0 ENF=Anatolia_Barcin_N
37.6 EHG=RUS_Karelia_HG
10.4 CHG=GEO_CHG
10.0 WHG=BEL_Loschbour

Target: rothaer_scaled
Distance: 5.9313% / 0.05931296
45.0 ENF=Anatolia_Barcin_N
36.6 EHG=RUS_Karelia_HG
9.6 WHG=BEL_Loschbour
8.8 CHG=GEO_CHG

[Zanzibar]

Here's European populations plotted using your model. The convex hulls are based on using the scaled coordinates of the populations to perform hierarchical clustering and then cutting the clustering tree at the height where it has 10 subtrees. Each population is connected with a line to its three closest neighbors based on the Euclidean distance of the scaled coordinates.

Latvians have the highest combined WHG and WSH so they plot the highest on the Y-axis. Udmurts have the highest WSH (59.8%), but maybe it's because they have both more EHG and more CHG than Western Europeans, and there wasn't an EHG source in your model.

Nenetses, Kalmyks, and some North Caucasian populations have 0% WHG and 0% EEF, so their points are located on the line between the WSH component and other components.

https://i.ibb.co/C9RXyvW/square-most-ancient.png


library(tidyverse)
library(ggforce) # for geom_mark_hull

t=read.csv("csv-file-copied-from-multi-tab",row.names=1,check.names=F,header=T)

dist=t[,1]
t=t[,-1]
t=t/100
t=t[-nrow(t),]

t=cbind(t[,c(2,11,12)],rowSums(t[,-c(2,11,12)]))
names(t)[4]="Other"
t=t[,c(3,4,1,2)]

n=ncol(t)

start=ifelse(n==4,.25,0)
corners=sapply(c(sin,cos),function(x)x(head((start +seq(0,2,length.out=n+1))*pi,-1)))
corners=corners*min(2/diff(apply(corners,2,range)))
corners[,2]=corners[,2]-mean(range(corners[,2]))

xy=as.data.frame(as.matrix(t)%*%corners)
grid=as.data.frame(rbind(cbind(corners,rbind(corne rs[-1,],corners[1,])),cbind(corners,matrix(apply(corners,2,mean),ncol =2,nrow=n,byrow=T))))

t2=read.csv("all-lines-in-target-tab",header=F,row.names=1)
dist=as.data.frame(as.matrix(dist(t2)))
seg=lapply(1:4,function(i)apply(dist,1,function(x) unlist(xy[names(sort(x)[i]),],use.names=F))%>%t%>%cbind(xy))%>%do.call(rbind,.)%>%setNames(paste0("V",1:4))
xy$k=as.factor(cutree(hclust(dist(t2)),10))

hue=c(0,30,60,90,120,170,210,240,280,330)
pal1=hcl(hue+15,110,70)
pal2=hcl(hue+15,110,50)

angle=head(seq(360,0,length.out=n+1),-1)
angle=ifelse(angle>90&angle<=270,angle+180,angle)

ggplot(xy,aes(x=V1,y=V2))+
geom_text(data=adf(corners),aes(x=V1,y=1.05*V2),vj ust=.5,hjust=(1+corners[,1])/2,label=colnames(t),size=3.2,color="gray20")+
geom_segment(data=grid,aes(x=V1,y=V2,xend=V3,yend= V4),color="gray90",size=.3)+
geom_mark_hull(aes(group=k,color=k,fill=k),concavi ty=1000,radius=unit(.3,"cm"),expand=unit(.3,"cm"),alpha=.2,size=.15)+
geom_segment(data=seg,aes(x=V1,y=V2,xend=V3,yend=V 4),color="gray20",size=.1)+
geom_point(aes(color=k),size=.5)+
geom_text(aes(label=rownames(xy),color=k),size=2,v just=-.6)+
coord_fixed(xlim=c(-1,1),ylim=c(-1,1))+
scale_fill_manual(values=pal1)+
scale_color_manual(values=pal2)+
theme(axis.text=element_blank(),axis.ticks=element _blank(),axis.title=element_blank(),panel.grid=ele ment_blank(),legend.position="none",
panel.background=element_rect(fill="white"),plot.background=element_rect(fill="white",color=NA,size=0),plot.margin=margin(0,0,0,0))

ggsave("a.png",width=7,height=7)

WSH= West Siberian Hunter Gatherer such as Tyumen_HG, KAZ_Botai, Sosonivoy_HG?

Can you also add Khanty, Mansi, Tatar_Siberian, Turkmen, Uzbek, Karakalpak, into the PCA? Wanted to see if VURers will shifted even more towards them especially considering the Central Asian-like ancestry in Mari, Udmurt.

[Dunai]

WSH= West Siberian Hunter Gatherer such as Tyumen_HG, KAZ_Botai, Sosonivoy_HG?

Can you also add Khanty, Mansi, Tatar_Siberian, Turkmen, Uzbek, Karakalpak, into the PCA? Wanted to see if VURers will shifted even more towards them especially considering the Central Asian-like ancestry in Mari, Udmurt.

WSH (Western Steppe Herders) represents the Yamnaya culture, so basically Proto-Indo-Europeans.

[Dunai]

Yep. Follows. I'm convinced that Davidski constructed his standard model that way only because that also was performed in academic papers to provide comparable results. But that calculators did just allow WHG or steppe with a fixated EHG proportion so it can produce these artefacts for WHG.

Results of some selected moderns (and me):

Target: Finnish_East
Distance: 6.4077% / 0.06407722
51.6 EHG=RUS_Karelia_HG
33.0 ENF=Anatolia_Barcin_N
6.8 WHG=BEL_Loschbour
5.0 CHG=GEO_CHG
3.6 EA=RUS_Devils_Gate_Cave_N

Target: German_East
Distance: 6.1388% / 0.06138822
47.2 ENF=Anatolia_Barcin_N
36.2 EHG=RUS_Karelia_HG
9.2 CHG=GEO_CHG
7.4 WHG=BEL_Loschbour

Target: German
Distance: 5.6875% / 0.05687510
49.4 ENF=Anatolia_Barcin_N
33.6 EHG=RUS_Karelia_HG
9.4 CHG=GEO_CHG
7.6 WHG=BEL_Loschbour

Target: Greek
Distance: 3.2277% / 0.03227692
60.8 ENF=Anatolia_Barcin_N
21.6 EHG=RUS_Karelia_HG
16.0 CHG=GEO_CHG
1.6 Natufian=Levant_Natufian

Target: Italian_Lazio
Distance: 3.3950% / 0.03394961
61.4 ENF=Anatolia_Barcin_N
16.2 EHG=RUS_Karelia_HG
15.8 CHG=GEO_CHG
5.6 Natufian=Levant_Natufian
1.0 WHG=BEL_Loschbour

Target: Ashkenazi_Jew
Distance: 3.3625% / 0.03362480
46.6 ENF=Anatolia_Barcin_N
20.8 CHG=GEO_CHG
18.6 Natufian=Levant_Natufian
13.8 EHG=RUS_Karelia_HG
0.2 EA=RUS_Devils_Gate_Cave_N

Target: Roma
Distance: 6.2473% / 0.06247298
35.6 ENF=Anatolia_Barcin_N
25.2 CHG=GEO_CHG
21.0 S_Asian_HG=Jarawa
14.4 EHG=RUS_Karelia_HG
3.8 Natufian=Levant_Natufian

Target: Portuguese
Distance: 4.2285% / 0.04228508
59.0 ENF=Anatolia_Barcin_N
19.6 EHG=RUS_Karelia_HG
8.4 CHG=GEO_CHG
8.2 WHG=BEL_Loschbour
4.8 Iberomaurusian=MAR_Iberomaurusian

Target: Polish
Distance: 6.8687% / 0.06868689
43.6 ENF=Anatolia_Barcin_N
40.2 EHG=RUS_Karelia_HG
8.6 CHG=GEO_CHG
7.6 WHG=BEL_Loschbour

Target: Norwegian
Distance: 6.6885% / 0.06688544
45.8 ENF=Anatolia_Barcin_N
39.6 EHG=RUS_Karelia_HG
7.4 CHG=GEO_CHG
7.2 WHG=BEL_Loschbour

Target: Croatian
Distance: 5.4056% / 0.05405590
50.6 ENF=Anatolia_Barcin_N
34.0 EHG=RUS_Karelia_HG
10.4 CHG=GEO_CHG
5.0 WHG=BEL_Loschbour

Target: English
Distance: 6.6721% / 0.06672072
48.0 ENF=Anatolia_Barcin_N
34.2 EHG=RUS_Karelia_HG
9.4 CHG=GEO_CHG
8.4 WHG=BEL_Loschbour

Target: rothaer_wife_scaled
Distance: 6.6435% / 0.06643503
42.0 ENF=Anatolia_Barcin_N
37.6 EHG=RUS_Karelia_HG
10.4 CHG=GEO_CHG
10.0 WHG=BEL_Loschbour

Target: rothaer_scaled
Distance: 5.9313% / 0.05931296
45.0 ENF=Anatolia_Barcin_N
36.6 EHG=RUS_Karelia_HG
9.6 WHG=BEL_Loschbour
8.8 CHG=GEO_CHG

Interesting, since EHG becomes much more dominant in Modern Europeans than WHG according to this calculator. Also, do you know why the distances are quite larger than on Davidski's calculator?

Target: Dunai
Distance: 4.7242% / 0.04724196
46.6 ENF=Anatolia_Barcin_N
34.4 EHG=RUS_Karelia_HG
12.8 CHG=GEO_CHG
6.2 WHG=BEL_Loschbour

Target: Dunai
Distance: 3.4694% / 0.03469439
46.8 Western_Steppe_Herders
39.4 Early_European_Farmers
11.6 Western_Hunter_Gatherer
2.2 Han

[Dorian]

It could be determined that these farmers are derived from local Hunter Gatherers in Anatolia (individual ZBC, Pinarbasi, 15 ky) without any notable contribution from Mesopotamia. Later Barcin individuals are then just somewhat different, but it's not about a Mesopotamian contribution.

Now, Barcin is extremely close to Europe and unfortunately it lacks contemporary finds from the part of Europe, that is closest to Barcin (Greece, Thrakia). It seems well possible that there was a population similar to Barcin. This implicates that it is possible, that also that expanding farmer population actually came from inside Europe. And this does not seem very unlikely.

You are spot on ,there was a genetics lecture in Greece and it seems there are unpublished Mesolithic samples which they say do not differ from the Neolithic ones..remains to be seen.

[rothaer]

You are spot on ,there was a genetics lecture in Greece and it seems there are unpublished Mesolithic samples which they say do not differ from the Neolithic ones..remains to be seen.

Wow, really?! Till now it was just a consideration of mine, because of the geographic location of Barcin. If you have ANY link for me, that would be very interesting.

[Komintasavalta]

Can you also add Khanty, Mansi, Tatar_Siberian, Turkmen, Uzbek, Karakalpak, into the PCA? Wanted to see if VURers will shifted even more towards them especially considering the Central Asian-like ancestry in Mari, Udmurt.

It's not a PCA, but it's a square version of a ternary diagram.

The image below shows the 64 populations that are the closest to the Bashkir population average (I hate the decimal system but I like integer exponents of two). The components with the highest average percentage were WSH (35%), Han (23%), and EEF (8%), and the other components are combined into the "Other" component.

There isn't an ANE or WSHG component, so West Siberians get a lot of WSH. For example Khanty are modeled as 29% WSH, 34% Han, 13% Clovis, and 4% Levant_N.

https://i.ibb.co/gjRy2Ny/a.png

[Zanzibar]

WSH (Western Steppe Herders) represents the Yamnaya culture, so basically Proto-Indo-Europeans.

Right. Confused WSH with WSHG which is Western Siberian Hunter Gatherer, who are a very different population from Western Steppe Herders; the former being a mix of mostly 50% ANE+ 30% EHG+ 20% East Asian ancestry.

Closest modern pops to WSHG seem to be Volga Ural tribes and Tlingit, an Amerindian tribe from North America:

Distance to: RUS_Tyumen_HG
0.20730330 Udmurt
0.21148967 Saami
0.21532694 Tlingit
0.21976163 Besermyan
0.23361063 Saami_Kola
0.23453415 Mansi
0.23531698 Mari
0.23817036 Khanty
0.23896689 Komi
0.23897143 Tatar_Siberian_Zabolotniye
0.23911633 Chuvash
0.24484893 Bashkir
0.24872084 Ket
0.25124007 Tatar_Kazan
0.25421961 Tatar_Siberian
0.25655056 Greenlander_West
0.26535714 Russian_Pinega
0.26585159 Tajik_Shugnan
0.26703875 Tatar_Mishar
0.26786181 Tajik_Ishkashim
0.26864295 Jatt_Pathak
0.26891922 Tatar_Lipka
0.26944559 Tajik_Rushan
0.26972222 Finnish_East
0.27108716 Ror


Distance to: KAZ_Botai
0.18326932 Tlingit
0.18566524 Udmurt
0.19128163 Saami
0.19873387 Besermyan
0.20088058 Mansi
0.20293442 Tatar_Siberian_Zabolotniye
0.20456979 Khanty
0.20959306 Bashkir
0.21352932 Ket
0.21400819 Mari
0.21770470 Tatar_Siberian
0.21835241 Saami_Kola
0.21908207 Chuvash
0.22400652 Komi
0.22582419 Greenlander_West
0.23080867 Tatar_Kazan
0.24263002 Tatar_Lipka
0.24499823 Shor_Mountain
0.24506144 Yukagir_Forest
0.24523981 Tubalar
0.24662247 Shor_Khakassia
0.24760396 Uzbek
0.24837333 Tajik_Shugnan
0.24935293 Tajik_Ishkashim
0.25007105 Tatar_Mishar

[Zanzibar]

It's not a PCA, but it's a square version of a ternary diagram.

The image below shows the 64 populations that are the closest to the Bashkir population average (I hate the decimal system but I like integer exponents of two). The components with the highest average percentage were WSH (35%), Han (23%), and EEF (8%), and the other components are combined into the "Other" component.

There isn't an ANE or WSHG component, so West Siberians get a lot of WSH. For example Khanty are modeled as 29% WSH, 34% Han, 13% Clovis, and 4% Levant_N.

https://i.ibb.co/gjRy2Ny/a.png

Ok. Well I think Nganassan/RUS_Krasnoyarsk_BA would be a better fit for the East Asian (its the population genetics term for Mongoloid rather than it meaning literal "East Asian countries") ancestry in the Bashkirs and VURers than the Han who are too southern and too East Asian rice-shifted farmer shifted.

There aren't ANE and WSHG components in the ternary diagram? You will have to include Afontova_Gora_3/MA1 and Tyumen_HG/KAZ_Botai into the diagram if you want those components as well.

[rothaer]

Interesting, since EHG becomes much more dominant in Modern Europeans than WHG according to this calculator. Also, do you know why the distances are quite larger than on Davidski's calculator?

Target: Dunai
Distance: 4.7242% / 0.04724196
46.6 ENF=Anatolia_Barcin_N
34.4 EHG=RUS_Karelia_HG
12.8 CHG=GEO_CHG
6.2 WHG=BEL_Loschbour

Target: Dunai
Distance: 3.4694% / 0.03469439
46.8 Western_Steppe_Herders
39.4 Early_European_Farmers
11.6 Western_Hunter_Gatherer
2.2 Han

"Interesting, since EHG becomes much more dominant in Modern Europeans than WHG according to this calculator.":

Absolutely. But consider Yamnaya is roughly 50% EHG and kind of 0% WHG. What we do have from WHG is ridicolous and it does hardly anywhere exceed 10%.

"Also, do you know why the distances are quite larger than on Davidski's calculator?":

A good question. I've never understood the meaning of the absolute values of the distances and I even think, there is no. My assumption is, they are just relative, i. e. for comparison within the same calculator, not between different calculators.

If they should be regarded absolute, then I can just speculate: Maybe a Yamnaya sample, that is younger (5 ky) and closer to today people than the other references has some more genetic traces, that are not cought by the components in the K11. I think Yamnaya can not be perfectly modeled by just EHG and CHG, as the K11 provides. There is probably also some Iran chalcolithic-like DNA in Yamnaya and I know that Davidski likes to use Iran chalcolitic for modelling, beside CHG or without CHG. But different experiments have shown, that CHG seems somewhat more suitable, if you just use one of these both components. If you just use Iran Chalcolitic and no CHG you get a part of CHG pushed into ENF (instead of all into Iran chalcolithic).

[Komintasavalta]

Ok. Well I think Nganassan/RUS_Krasnoyarsk_BA would be a better fit for the East Asian (its the population genetics term for Mongoloid rather than it meaning literal "East Asian countries") ancestry in the Bashkirs and VURers than the Han who are too southern and too East Asian rice-shifted farmer shifted.

There aren't ANE and WSHG components in the ternary diagram? You will have to include Afontova_Gora_3/MA1 and Tyumen_HG/KAZ_Botai into the diagram if you want those components as well.

I simply ran the OP's model in Vahaduo, so I didn't want to add any populations.

It's not a ternary diagram either, but I don't know what to call it. Quaternary diagram?

Here's a different model for the 64 closest populations to Maris. This time the model only has 4 components, so there is no "other" component. There isn't a South Asian source in the model, so South Asians get a lot of MA1. Khanty are the furthest right on the plot, which means that they have the highest combined proportion of MA1 and Shamanka.

https://i.ibb.co/BnwkzmK/a.png

When I tried replacing WHG and ANE with EHG, Eastern Finns got the highest EHG so they're positioned the highest on the plot. EHG is really the main ancient European component among present-day Europeans, and Southern Europeans are more Anatolian than European.

https://i.ibb.co/VC5kVDw/b.png

[Zanzibar]

I simply ran the OP's model in Vahaduo, so I didn't want to add any populations.

It's not a ternary diagram either, but I don't know what to call it. Quaternary diagram?

Here's a different model for the 64 closest populations to Maris. This time the model only has 4 components, so there is no "other" component. There isn't a South Asian source in the model, so South Asians get a lot of MA1. Khanty are the furthest right on the plot, which means that they have the highest combined proportion of MA1 and Shamanka.

https://i.ibb.co/BnwkzmK/a.png

When I tried replacing WHG and ANE with EHG, Eastern Finns got the highest EHG so they're positioned the highest on the plot. EHG is really the main ancient European component among present-day Europeans, and Southern Europeans are more Anatolian than European.

https://i.ibb.co/VC5kVDw/b.png

I'm not sure what to called it either. South Asians actually get a lot of ANE like around 30% if I remembered correctly from seeing Eurogenes K8 and Basal rich K7. Also Khanty have one of the highest ANE in Eurasia along with Ket, Selkup with their other side being East Asian ancestry (much more Krasnoyarsk/Nganasan-like than Shamanka-like which is more Tungusic/Turkic-related)

Actually EHG is more of the main ancient components of Finns and other NE Europeans such as Karelians, Estonians, other Balts, etc rather than of Europeans as a whole. If I am not wrong, WHG is the main hunter gather component of NW Euros including Norwegians, Swedes rather than EHG.

[Jana]

Actually EHG is more of the main ancient components of Finns and other NE Europeans such as Karelians, Estonians, other Balts, etc rather than of Europeans as a whole. If I am not wrong, WHG is the main hunter gather component of NW Euros including Norwegians, Swedes rather than EHG.

Yes and WHG is European component that is furthest removed from both mongoloids and sub-saharans. EHG even has Onge like affinities.
But he is pushing his Uralic propaganda as usual.

[Dorian]

Wow, really?! Till now it was just a consideration of mine, because of the geographic location of Barcin. If you have ANY link for me, that would be very interesting.

There's only this video https://youtu.be/ghKyuDwJZkE?t=824 but it has no subtitle option ,it's mostly introductory and basic population genetic stuff.

13:44 she says "We see that in the Greek area a difference between the Mesolithics and the Neolithics doesn't seem to have existed , they are similar while the Mesolithics and Neolithics in Central and other parts of Europe are different" then she goes on about Neolithics.

[Liquid]

92. Target: Greek_Thessaly = Ancient European: 88%
Distance: 2.2612% / 0.02261246
53.4 Early_European_Farmers
32.4 Western_Steppe_Herders
9.8 Kura_Araxes
2.2 Natufian
2.2 Western_Hunter_Gatherer
93. Target: Gagauz = Ancient European: 86%
Distance: 3.2621% / 0.03262127
44.6 Early_European_Farmers
36.2 Western_Steppe_Herders
11.6 Kura_Araxes
5.2 Western_Hunter_Gatherer
2.0 Natufian
0.4 Levant_Neolithic
94. Target: Greek_Macedonia = Ancient European: 86%
Distance: 3.0306% / 0.03030594
50.6 Early_European_Farmers
32.4 Western_Steppe_Herders
11.4 Kura_Araxes
3.0 Western_Hunter_Gatherer
2.6 Natufian
95. Target: Komi = Ancient European: 84%
Distance: 7.2106% / 0.07210605
57.6 Western_Steppe_Herders
15.0 Early_European_Farmers
11.4 Western_Hunter_Gatherer
10.8 Han
2.2 Clovis
1.8 Natufian
1.2 Levant_Neolithic
96. Target: Italian_Marche = Ancient European: 82.6%
Distance: 2.0301% / 0.02030063
51.8 Early_European_Farmers
28.0 Western_Steppe_Herders
12.2 Kura_Araxes
5.2 Natufian
2.8 Western_Hunter_Gatherer
97. Target: Greek_Peloponnese = Ancient European: 82.2%
Distance: 2.2210% / 0.02221016
51.2 Early_European_Farmers
29.2 Western_Steppe_Herders
12.6 Kura_Araxes
4.8 Natufian
1.8 Western_Hunter_Gatherer
0.2 Ganj_Dareh_Neolithic
0.2 Han
98. Target: Italian_Lazio = Ancient European: 82%
Distance: 2.0166% / 0.02016640
54.0 Early_European_Farmers
24.8 Western_Steppe_Herders
10.6 Kura_Araxes
5.2 Natufian
3.2 Western_Hunter_Gatherer
2.2 Ganj_Dareh_Neolithic
99. Target: Turkish_Deliorman = Ancient European: 81.6%
Distance: 3.0631% / 0.03063066
38.4 Western_Steppe_Herders
36.8 Early_European_Farmers
10.6 Kura_Araxes
4.8 Han
4.4 Natufian
3.4 Western_Hunter_Gatherer
1.6 Tepecik_Çiftlik_Neolithic
100. Target: Italian_Molise = Ancient European: 77.8%
Distance: 1.6736% / 0.01673591
50.8 Early_European_Farmers
25.4 Western_Steppe_Herders
15.6 Kura_Araxes
5.0 Natufian
1.6 Ganj_Dareh_Neolithic
1.6 Western_Hunter_Gatherer
101. Target: Italian_Abruzzo = Ancient European: 76.8%
Distance: 1.6260% / 0.01626012
50.2 Early_European_Farmers
24.8 Western_Steppe_Herders
15.0 Kura_Araxes
6.2 Natufian
2.0 Ganj_Dareh_Neolithic
1.8 Western_Hunter_Gatherer
102. Target: Turkish_Rumelia = Ancient European: 76.8%
Distance: 2.0958% / 0.02095808
39.4 Early_European_Farmers
36.4 Western_Steppe_Herders
6.2 Levant_Neolithic
5.4 Han
5.4 Kura_Araxes
3.4 Ganj_Dareh_Neolithic
2.8 Natufian
1.0 Western_Hunter_Gatherer
103. Target: Tatar_Volga = Ancient European: 76.4%
Distance: 5.7730% / 0.05773023
51.4 Western_Steppe_Herders
18.2 Early_European_Farmers
14.6 Han
7.6 Levant_Neolithic
6.8 Western_Hunter_Gatherer
1.4 Clovis
104. Target: Italian_Umbria = Ancient European: 74.4%
Distance: 1.5732% / 0.01573190
54.0 Early_European_Farmers
27.6 Western_Steppe_Herders
12.0 Kura_Araxes
2.8 Western_Hunter_Gatherer
2.6 Natufian
0.6 Iberomaurusian
0.4 Ganj_Dareh_Neolithic
105. Target: Maltese = Ancient European: 73%
Distance: 1.6941% / 0.01694051
49.4 Early_European_Farmers
22.8 Western_Steppe_Herders
9.2 Natufian
8.6 Kura_Araxes
5.8 Ganj_Dareh_Neolithic
3.4 Iberomaurusian
0.8 Western_Hunter_Gatherer
106. Target: Besermyan = Ancient European: 72.8%
Distance: 7.7230% / 0.07722976
57.4 Western_Steppe_Herders
14.4 Han
10.0 Early_European_Farmers
5.6 Levant_Neolithic
5.4 Western_Hunter_Gatherer
3.8 Tepecik_Çiftlik_Neolithic
3.4 Clovis
107. Target: Saami = Ancient European: 72.2%
Distance: 9.4903% / 0.09490277
52.2 Western_Steppe_Herders
16.6 Han
16.6 Western_Hunter_Gatherer
5.4 Clovis
4.8 Levant_Neolithic
3.4 Early_European_Farmers
1.0 Natufian
108. Target: Italian_Basilicata = Ancient European: 72.2%
Distance: 1.4773% / 0.01477290
49.0 Early_European_Farmers
22.0 Western_Steppe_Herders
18.4 Kura_Araxes
7.0 Natufian
2.4 Ganj_Dareh_Neolithic
1.2 Western_Hunter_Gatherer
109. Target: Chuvash = Ancient European: 72%
Distance: 10.8062% / 0.10806228
53.4 Western_Steppe_Herders
16.4 Han
9.8 Early_European_Farmers
7.8 Western_Hunter_Gatherer
7.0 Tepecik_Çiftlik_Neolithic
2.4 Clovis
1.8 Levant_Neolithic
1.4 Natufian
110. Target: Italian_Apulia = Ancient European: 71.8%
Distance: 1.8014% / 0.01801425
48.6 Early_European_Farmers
21.6 Western_Steppe_Herders
20.6 Kura_Araxes
6.8 Natufian
1.6 Western_Hunter_Gatherer
0.8 Ganj_Dareh_Neolithic
111. Target: Italian_Campania = Ancient European: 71.2%
Distance: 1.5358% / 0.01535764
49.4 Early_European_Farmers
20.8 Western_Steppe_Herders
16.6 Kura_Araxes
8.2 Natufian
4.0 Ganj_Dareh_Neolithic
1.0 Western_Hunter_Gatherer
112. Target: Sicilian_West = Ancient European: 71%
Distance: 2.2569% / 0.02256886
46.4 Early_European_Farmers
19.6 Western_Steppe_Herders
14.2 Kura_Araxes
9.0 Natufian
5.0 Western_Hunter_Gatherer
4.0 Ganj_Dareh_Neolithic
1.4 Iberomaurusian
0.4 Helmand
113. Target: Udmurt = Ancient European: 69.2%
Distance: 8.7647% / 0.08764690
59.8 Western_Steppe_Herders
14.6 Han
6.6 Levant_Neolithic
5.4 Tepecik_Çiftlik_Neolithic
5.0 Western_Hunter_Gatherer
4.6 Early_European_Farmers
4.0 Clovis
114. Target: Italian_Calabria = Ancient European: 69.2%
Distance: 1.6885% / 0.01688513
49.4 Early_European_Farmers
19.6 Western_Steppe_Herders
18.8 Kura_Araxes
7.0 Natufian
3.2 Ganj_Dareh_Neolithic
1.0 Iberomaurusian
0.8 Helmand
0.2 Western_Hunter_Gatherer
115. Target: Ashkenazi_Russia = Ancient European: 68%
Distance: 1.8029% / 0.01802887
42.4 Early_European_Farmers
25.2 Western_Steppe_Herders
13.0 Kura_Araxes
12.2 Natufian
4.4 Ganj_Dareh_Neolithic
1.8 Han
0.6 Iberomaurusian
0.4 Western_Hunter_Gatherer
116. Target: Sicilian_East = Ancient European: 67.2%
Distance: 2.1771% / 0.02177133
45.8 Early_European_Farmers
21.6 Kura_Araxes
19.0 Western_Steppe_Herders
9.4 Natufian
2.4 Western_Hunter_Gatherer
0.8 Helmand
0.6 Savanna_Pastoral_Neolithic
0.4 Ganj_Dareh_Neolithic
117. Target: Ashkenazi_Lithuania = Ancient European: 67%
Distance: 1.6123% / 0.01612328
42.8 Early_European_Farmers
23.6 Western_Steppe_Herders
12.8 Natufian
11.6 Kura_Araxes
7.0 Ganj_Dareh_Neolithic
1.6 Han
0.6 Western_Hunter_Gatherer
118. Target: Ashkenazi_Belarus = Ancient European: 66.2%
Distance: 1.4800% / 0.01479994
41.6 Early_European_Farmers
23.6 Western_Steppe_Herders
13.2 Kura_Araxes
11.4 Natufian
5.4 Ganj_Dareh_Neolithic
3.8 Levant_Neolithic
1.0 Western_Hunter_Gatherer
119. Target: Ashkenazi_Ukraine = Ancient European: 65.8%
Distance: 2.1806% / 0.02180590
40.8 Early_European_Farmers
23.8 Western_Steppe_Herders
13.0 Natufian
12.8 Kura_Araxes
5.0 Ganj_Dareh_Neolithic
2.0 Tepecik_Çiftlik_Neolithic
1.2 Levant_Neolithic
1.2 Western_Hunter_Gatherer
0.2 Iberomaurusian
120. Target: Ashkenazi_Poland = Ancient European: 64.6%
Distance: 2.0470% / 0.02047046
41.0 Early_European_Farmers
22.8 Western_Steppe_Herders
14.8 Kura_Araxes
13.2 Natufian
4.8 Ganj_Dareh_Neolithic
2.2 Levant_Neolithic
0.8 Western_Hunter_Gatherer
0.4 Iberomaurusian
121. Target: Ashkenazi_Germany = Ancient European: 64.2%
Distance: 1.3037% / 0.01303701
44.6 Early_European_Farmers
18.8 Western_Steppe_Herders
13.6 Kura_Araxes
13.6 Natufian
7.4 Ganj_Dareh_Neolithic
1.0 Iberomaurusian
0.8 Western_Hunter_Gatherer
0.2 Han
122. Target: Greek_Crete = Ancient European: 63.4%
Distance: 1.7397% / 0.01739693
43.8 Early_European_Farmers
25.2 Kura_Araxes
19.6 Western_Steppe_Herders
8.2 Natufian
3.2 Ganj_Dareh_Neolithic
123. Target: Tatar_Crimean = Ancient European: 57.8%
Distance: 5.1088% / 0.05108841
38.4 Western_Steppe_Herders
24.0 Han
19.4 Early_European_Farmers
9.6 Levant_Neolithic
7.4 Tepecik_Çiftlik_Neolithic
1.0 Clovis
0.2 Helmand
124. Target: Sephardic_Jew = Ancient European: 57.2%
Distance: 2.0582% / 0.02058220
42.8 Early_European_Farmers
19.2 Kura_Araxes
14.4 Western_Steppe_Herders
13.0 Natufian
8.0 Ganj_Dareh_Neolithic
2.6 Iberomaurusian
125. Target: Mari = Ancient European: 57%
Distance: 14.5741% / 0.14574108
51.0 Western_Steppe_Herders
18.4 Han
9.4 Tepecik_Çiftlik_Neolithic
8.0 Western_Hunter_Gatherer
6.2 Levant_Neolithic
4.6 Clovis
2.4 Natufian
126. Target: Greek_Dodecanese = Ancient European: 56.8%
Distance: 1.4810% / 0.01481024
44.4 Early_European_Farmers
29.2 Kura_Araxes
12.4 Western_Steppe_Herders
7.8 Natufian
6.2 Ganj_Dareh_Neolithic
127. Target: Turkish_Istanbul = Ancient European: 51.8%
Distance: 1.5203% / 0.01520317
32.0 Kura_Araxes
29.6 Early_European_Farmers
22.0 Western_Steppe_Herders
5.4 Han
4.6 Natufian
3.8 Ganj_Dareh_Neolithic
2.4 Helmand
0.2 Western_Hunter_Gatherer
128. Target: Bashkir = Ancient European: 49.8%
Distance: 8.6771% / 0.08677103
45.6 Western_Steppe_Herders
27.8 Han
11.8 Levant_Neolithic
6.2 Tepecik_Çiftlik_Neolithic
4.4 Clovis
3.0 Early_European_Farmers
1.2 Western_Hunter_Gatherer
129. Target: Roma_Balkans = Ancient European: 49.6%
Distance: 2.0269% / 0.02026916
33.8 Helmand
29.8 Early_European_Farmers
17.0 Western_Steppe_Herders
11.0 Kura_Araxes
5.0 Natufian
2.8 Western_Hunter_Gatherer
0.6 Han
130. Target: Darginian = Ancient European: 39.4%
Distance: 2.1856% / 0.02185600
59.4 Kura_Araxes
39.4 Western_Steppe_Herders
1.2 Clovis
131. Target: Cypriot = Ancient European: 39%
Distance: 1.4680% / 0.01468046
40.0 Kura_Araxes
34.2 Early_European_Farmers
15.0 Natufian
6.0 Ganj_Dareh_Neolithic
4.8 Western_Steppe_Herders
132. Target: Avar = Ancient European: 36.4%
Distance: 1.7375% / 0.01737538
61.6 Kura_Araxes
36.4 Western_Steppe_Herders
1.4 Levant_Neolithic
0.6 Clovis
133. Target: Nogai = Ancient European: 36.2%
Distance: 8.2591% / 0.08259137
38.6 Han
31.6 Western_Steppe_Herders
10.8 Tepecik_Çiftlik_Neolithic
10.0 Levant_Neolithic
4.6 Early_European_Farmers
3.0 Clovis
1.4 Kura_Araxes
134. Target: Lak = Ancient European: 36%
Distance: 1.5582% / 0.01558245
62.0 Kura_Araxes
36.0 Western_Steppe_Herders
1.8 Han
0.2 Clovis
135. Target: Tabasaran = Ancient European: 33.8%
Distance: 1.4103% / 0.01410344
61.8 Kura_Araxes
33.6 Western_Steppe_Herders
3.8 Levant_Neolithic
0.6 Clovis
0.2 Early_European_Farmers
136. Target: Kumyk = Ancient European: 30.4%
Distance: 2.1478% / 0.02147778
60.6 Kura_Araxes
23.2 Western_Steppe_Herders
7.2 Early_European_Farmers
5.4 Han
2.0 Levant_Neolithic
1.6 Natufian
137. Target: Kabardin = Ancient European: 28.2%
Distance: 2.8883% / 0.02888299
64.4 Kura_Araxes
17.8 Western_Steppe_Herders
8.2 Early_European_Farmers
6.6 Han
2.2 Western_Hunter_Gatherer
0.8 Clovis
138. Target: Chechen = Ancient European: 28.2%
Distance: 2.1936% / 0.02193649
68.8 Kura_Araxes
25.6 Western_Steppe_Herders
3.0 Han
2.6 Early_European_Farmers
139. Target: Cherkess = Ancient European: 26.6%
Distance: 3.1861% / 0.03186116
66.6 Kura_Araxes
18.6 Western_Steppe_Herders
6.4 Han
5.6 Early_European_Farmers
2.4 Western_Hunter_Gatherer
0.4 Clovis
140. Target: Ingushian = Ancient European: 25.8%
Distance: 2.7625% / 0.02762492
70.2 Kura_Araxes
21.8 Western_Steppe_Herders
3.8 Early_European_Farmers
3.6 Han
0.2 Clovis
0.2 Natufian
0.2 Western_Hunter_Gatherer
141. Target: Karachay = Ancient European: 23.4%
Distance: 3.0875% / 0.03087527
69.2 Kura_Araxes
16.8 Western_Steppe_Herders
6.4 Han
4.6 Early_European_Farmers
2.0 Western_Hunter_Gatherer
0.6 Clovis
0.4 Tepecik_Çiftlik_Neolithic
142. Target: Balkar = Ancient European: 23.2%
Distance: 3.0145% / 0.03014509
70.0 Kura_Araxes
18.0 Western_Steppe_Herders
5.6 Han
3.0 Early_European_Farmers
2.2 Western_Hunter_Gatherer
1.2 Clovis
143. Target: North_Ossetian = Ancient European: 15.8%
Distance: 3.8345% / 0.03834520
78.4 Kura_Araxes
13.6 Western_Steppe_Herders
5.8 Han
2.2 Western_Hunter_Gatherer

Kura_Araxes is contaminated by EEF (30-40%) and the Steppe Albinos (5%), it makes a big difference to the Caucasus folks.

[Petalpusher]

Actually EHG is more of the main ancient components of Finns and other NE Europeans such as Karelians, Estonians, other Balts, etc rather than of Europeans as a whole. If I am not wrong, WHG is the main hunter gather component of NW Euros including Norwegians, Swedes rather than EHG.


The main confusion with the fact some calculators will give Euros a lot of EHG and some other calculators give the opposite results with a lot of WHG, is this:

Most of the WHG people actually have today, comes from Pinarbasi, the Anatolian hunter (before they became farmers). Which himself has a clear ancestral relationship with the Iron Gates mesolithic hunters (from Balkan), and generally increased affinity with the WHG that were roaming around the Alps. (Likely some undocumented movements yet from there in the late paleo). Then some reemergence of actual local WHG in the mid neolithic (Loschbour/Villabruna type). So the model is ok in that sense, those 5-20% of WHG could show this reemergence more or less accurately, but it doesn't show all our real WHG ancestry like some other calculators do.

In the same way, most of the EHG a calculator would give to Euros, has been mediated by steppe herders IE/Yamnaya types. And in the same way as the farmers, it carried also something highly basal (Iran_N/CHG) with some actual EHG or ancient AG. So in itself the original post calculation is right but incomplete as farmers and steppe herders carried something else, that pops up in other populations with less than 100% of this model, as they have a surplus of other types of ancestry that doesn't fit neatly into the Euro "standard 3way model".

Even when you consider all this, we still have to remember EHG is like an ANE/AG who got some WHG sometimes at the end of the Paleolithic/early meso. A bit of WHG: turned AG into EHG. A lot of WHG turned AG/EHG into SHG. Could have been the other way or both ways too, WHG going east after the last glacial maximum, and AG chasing mamoth west, likely both ways. Basically you have a North Eurasian cline between WHG and AG/ANE, and everything in between is an intermediate mix.

Let's not even begin with how ANE and Paleo WHG splitted from each others further back in time, somewhere after the main ENA events. The bottom line is strangely enough, both ideas that we are highly WHG and EHG can be correct. I would say in the big scheme of things we are still more WHG because when you actually triangulate Europe with only WHG, ANE and BE, we all come up with little ANE, significantly less than Amerindians or Indians for example. Which could sound strange because IE came last and we are supposed to have a lot of IE. The thing is, yes but they also mixed repeatidly with the farmers after their first expansion in Europe, so more farmers, more WHG... slowly replaced again the IE EHG, and in several waves of settlement, resettlement of Bell Beakers (like one of the recent study on BA Britain)

Yet a bit of ANE and a lot of WHG, can still be quantified as quite a good amount of EHG (or SHG), so it really depends what choices and references the calculator will use.

[Liquid]

The main confusion with the fact some calculators will give Euros a lot of EHG and some other calculators give the opposite results with a lot of WHG, is this:

Most of the WHG people actually have today, comes from Pinarbasi, the Anatolian hunter (before they became farmers).

Pinarbasi (HG) seems very different to WHG, me for reference

Distance to: Liquid_scaled
0.43613263 WHG:I1875

Distance to: TUR_Pinarbasi_HG:ZBC_IPB001
0.42313368 WHG:I1875

[Petalpusher]

Pinarbasi (HG) seems very different to WHG, me for reference

Distance to: Liquid_scaled
0.43613263 WHG:I1875

Distance to: TUR_Pinarbasi_HG:ZBC_IPB001
0.42313368 WHG:I1875

Yes course it's not purely WHG, but it has a lot of it. It's like if you compare yourself to AG, you are not gonna be close. Nor Yamnaya is gonna be close to ANE (still a lot in it)

[Nurzat]

Yep. Follows. I'm convinced that Davidski constructed his standard model that way only because that also was performed in academic papers to provide comparable results. But that calculators did just allow WHG or steppe with a fixated EHG proportion so it can produce these artefacts for WHG.

Results of some selected moderns (and me):

...

Target: Nurzat
Distance: 5.1992% / 0.05199178
51.8 TUR_Barcin_N
34.8 RUS_Karelia_HG
11.0 GEO_CHG
2.4 LUX_Loschbour
0.0 RUS_Devils_Gate_Cave_N
0.0 Levant_Natufian
0.0 MAR_Taforalt
0.0 Jarawa


northeast Romanian result with your model

[Liquid]

Yes course it's not purely WHG, but it has a lot of it. It's like if you compare yourself to AG, you are not gonna be close. Nor Yamnaya is gonna be close to ANE (still a lot in it)

But I'm saying it literally has none, I mean look at it.

Ok, here's another match for reference, between EEF and Yamnaya Steppe, they are much closer!

Distance to: TUR_Barcin_N
0.33822432 Yamnaya_RUS_Samara


Distance to: TUR_Pinarbasi_HG:ZBC_IPB001
0.42313368 WHG:I1875

[Dunai]

"Interesting, since EHG becomes much more dominant in Modern Europeans than WHG according to this calculator.":

Absolutely. But consider Yamnaya is roughly 50% EHG and kind of 0% WHG. What we do have from WHG is ridicolous and it does hardly anywhere exceed 10%.

"Also, do you know why the distances are quite larger than on Davidski's calculator?":

A good question. I've never understood the meaning of the absolute values of the distances and I even think, there is no. My assumption is, they are just relative, i. e. for comparison within the same calculator, not between different calculators.

If they should be regarded absolute, then I can just speculate: Maybe a Yamnaya sample, that is younger (5 ky) and closer to today people than the other references has some more genetic traces, that are not cought by the components in the K11. I think Yamnaya can not be perfectly modeled by just EHG and CHG, as the K11 provides. There is probably also some Iran chalcolithic-like DNA in Yamnaya and I know that Davidski likes to use Iran chalcolitic for modelling, beside CHG or without CHG. But different experiments have shown, that CHG seems somewhat more suitable, if you just use one of these both components. If you just use Iran Chalcolitic and no CHG you get a part of CHG pushed into ENF (instead of all into Iran chalcolithic).

Target: Western_Steppe_Herders
Distance: 5.8357% / 0.05835655
57.2 EHG=RUS_Karelia_HG
36.6 CHG=GEO_CHG
6.2 ENF=Anatolia_Barcin_N

[rothaer]

The main confusion with the fact some calculators will give Euros a lot of EHG and some other calculators give the opposite results with a lot of WHG, is this:

Most of the WHG people actually have today, comes from Pinarbasi, the Anatolian hunter (before they became farmers). Which himself has a clear ancestral relationship with the Iron Gates mesolithic hunters (from Balkan), and generally increased affinity with the WHG that were roaming around the Alps. (Likely some undocumented movements yet from there in the late paleo). Then some reemergence of actual local WHG in the mid neolithic (Loschbour/Villabruna type). So the model is ok in that sense, those 5-20% of WHG could show this reemergence more or less accurately, but it doesn't show all our real WHG ancestry like some other calculators do.

In the same way, most of the EHG a calculator would give to Euros, has been mediated by steppe herders IE/Yamnaya types. And in the same way as the farmers, it carried also something highly basal (Iran_N/CHG) with some actual EHG or ancient AG. So in itself the original post calculation is right but incomplete as farmers and steppe herders carried something else, that pops up in other populations with less than 100% of this model, as they have a surplus of other types of ancestry that doesn't fit neatly into the Euro "standard 3way model".

Even when you consider all this, we still have to remember EHG is like an ANE/AG who got some WHG sometimes at the end of the Paleolithic/early meso. A bit of WHG: turned AG into EHG. A lot of WHG turned AG/EHG into SHG. Could have been the other way or both ways too, WHG going east after the last glacial maximum, and AG chasing mamoth west, likely both ways. Basically you have a North Eurasian cline between WHG and AG/ANE, and everything in between is an intermediate mix.

Let's not even begin with how ANE and Paleo WHG splitted from each others further back in time, somewhere after the main ENA events. The bottom line is strangely enough, both ideas that we are highly WHG and EHG can be correct. I would say in the big scheme of things we are still more WHG because when you actually triangulate Europe with only WHG, ANE and BE, we all come up with little ANE, significantly less than Amerindians or Indians for example. Which could sound strange because IE came last and we are supposed to have a lot of IE. The thing is, yes but they also mixed repeatidly with the farmers after their first expansion in Europe, so more farmers, more WHG... slowly replaced again the IE EHG, and in several waves of settlement, resettlement of Bell Beakers (like one of the recent study on BA Britain)

Yet a bit of ANE and a lot of WHG, can still be quantified as quite a good amount of EHG (or SHG), so it really depends what choices and references the calculator will use.

Interesting statements. As for your statement about Pinarbasi HG I can not see this confirmed. Here are results of that Pinarbasi HG and a lot of Iron Gates HG. At least if you do provide Barcin neolithic as a component Pinarbasi HG does not get notably WHG while Iron gates HG heavily do.

Target: TUR_Pinarbasi_HG:ZBC_IPB001
Distance: 3.5402% / 0.03540170
91.0 ENF=Anatolia_Barcin_N
7.0 WHG=BEL_Loschbour
1.4 Iberomaurusian=MAR_Iberomaurusian
0.6 EA=RUS_Devils_Gate_Cave_N

Target: SRB_Iron_Gates_HG:I5772
Distance: 5.2712% / 0.05271245
64.6 WHG=BEL_Loschbour
25.0 EHG=RUS_Karelia_HG
9.8 ENF=Anatolia_Barcin_N
0.6 SSA=Yoruba

Target: SRB_Iron_Gates_HG:I5771
Distance: 5.1855% / 0.05185545
72.4 WHG=BEL_Loschbour
17.0 EHG=RUS_Karelia_HG
10.6 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I5409
Distance: 5.0995% / 0.05099488
70.2 WHG=BEL_Loschbour
18.0 EHG=RUS_Karelia_HG
11.8 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I5407
Distance: 5.1925% / 0.05192549
75.2 WHG=BEL_Loschbour
18.8 EHG=RUS_Karelia_HG
6.0 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I5402
Distance: 5.3423% / 0.05342300
69.4 WHG=BEL_Loschbour
23.6 EHG=RUS_Karelia_HG
7.0 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I5401
Distance: 3.9067% / 0.03906744
69.8 WHG=BEL_Loschbour
20.6 EHG=RUS_Karelia_HG
9.6 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I5244
Distance: 4.5489% / 0.04548907
71.8 WHG=BEL_Loschbour
18.6 EHG=RUS_Karelia_HG
8.4 ENF=Anatolia_Barcin_N
1.2 CHG=GEO_CHG

Target: SRB_Iron_Gates_HG:I5242
Distance: 4.7382% / 0.04738156
69.0 WHG=BEL_Loschbour
21.8 EHG=RUS_Karelia_HG
9.2 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I5240
Distance: 5.5671% / 0.05567134
71.6 WHG=BEL_Loschbour
20.8 EHG=RUS_Karelia_HG
7.6 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I5239
Distance: 5.2221% / 0.05222113
68.4 WHG=BEL_Loschbour
25.8 EHG=RUS_Karelia_HG
5.6 ENF=Anatolia_Barcin_N
0.2 SSA=Yoruba

Target: SRB_Iron_Gates_HG:I5238
Distance: 5.4846% / 0.05484566
64.2 WHG=BEL_Loschbour
27.2 EHG=RUS_Karelia_HG
8.6 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I5237
Distance: 5.7452% / 0.05745226
73.2 WHG=BEL_Loschbour
18.2 EHG=RUS_Karelia_HG
8.6 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I5236
Distance: 5.4544% / 0.05454353
71.0 WHG=BEL_Loschbour
21.4 EHG=RUS_Karelia_HG
7.0 ENF=Anatolia_Barcin_N
0.6 SSA=Yoruba

Target: SRB_Iron_Gates_HG:I5235
Distance: 4.0539% / 0.04053903
69.6 WHG=BEL_Loschbour
21.0 EHG=RUS_Karelia_HG
8.6 ENF=Anatolia_Barcin_N
0.4 CHG=GEO_CHG
0.4 SSA=Yoruba

Target: SRB_Iron_Gates_HG:I5234
Distance: 4.3960% / 0.04395984
73.2 WHG=BEL_Loschbour
18.0 EHG=RUS_Karelia_HG
8.6 ENF=Anatolia_Barcin_N
0.2 CHG=GEO_CHG

Target: SRB_Iron_Gates_HG:I5233
Distance: 5.5463% / 0.05546297
71.4 WHG=BEL_Loschbour
23.8 EHG=RUS_Karelia_HG
4.8 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I4917
Distance: 4.3720% / 0.04371951
67.8 WHG=BEL_Loschbour
27.4 EHG=RUS_Karelia_HG
4.8 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I4916
Distance: 5.1338% / 0.05133758
69.2 WHG=BEL_Loschbour
23.0 EHG=RUS_Karelia_HG
7.8 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I4915
Distance: 4.3342% / 0.04334176
69.0 WHG=BEL_Loschbour
23.4 EHG=RUS_Karelia_HG
6.8 ENF=Anatolia_Barcin_N
0.8 SSA=Yoruba

Target: SRB_Iron_Gates_HG:I4914
Distance: 5.0049% / 0.05004886
72.2 WHG=BEL_Loschbour
21.0 EHG=RUS_Karelia_HG
6.8 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I4881
Distance: 5.6920% / 0.05691952
74.8 WHG=BEL_Loschbour
20.6 EHG=RUS_Karelia_HG
4.6 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I4880
Distance: 4.5499% / 0.04549854
70.6 WHG=BEL_Loschbour
21.8 EHG=RUS_Karelia_HG
7.6 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I4878
Distance: 4.1361% / 0.04136138
74.0 WHG=BEL_Loschbour
18.4 EHG=RUS_Karelia_HG
7.2 ENF=Anatolia_Barcin_N
0.4 CHG=GEO_CHG

Target: SRB_Iron_Gates_HG:I4877
Distance: 5.3835% / 0.05383496
74.4 WHG=BEL_Loschbour
21.0 EHG=RUS_Karelia_HG
4.6 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I4876
Distance: 5.2369% / 0.05236945
75.0 WHG=BEL_Loschbour
18.8 EHG=RUS_Karelia_HG
6.2 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I4875
Distance: 5.1791% / 0.05179139
76.2 WHG=BEL_Loschbour
22.2 EHG=RUS_Karelia_HG
1.4 ENF=Anatolia_Barcin_N
0.2 SSA=Yoruba

Target: SRB_Iron_Gates_HG:I4874
Distance: 4.4879% / 0.04487942
73.8 WHG=BEL_Loschbour
21.2 EHG=RUS_Karelia_HG
5.0 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I4873
Distance: 4.4117% / 0.04411726
75.2 WHG=BEL_Loschbour
20.2 EHG=RUS_Karelia_HG
4.6 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I4872
Distance: 6.0038% / 0.06003780
71.8 WHG=BEL_Loschbour
20.2 EHG=RUS_Karelia_HG
8.0 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I4871
Distance: 5.5546% / 0.05554616
69.8 WHG=BEL_Loschbour
22.8 EHG=RUS_Karelia_HG
7.4 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG:I4870
Distance: 3.9486% / 0.03948550
79.4 WHG=BEL_Loschbour
16.2 EHG=RUS_Karelia_HG
4.4 ENF=Anatolia_Barcin_N

Target: SRB_Iron_Gates_HG_o:I5232
Distance: 2.7812% / 0.02781163
56.4 ENF=Anatolia_Barcin_N
35.4 WHG=BEL_Loschbour
8.2 EHG=RUS_Karelia_HG

[rothaer]

Actually EHG is more of the main ancient components of Finns and other NE Europeans such as Karelians, Estonians, other Balts, etc rather than of Europeans as a whole. If I am not wrong, WHG is the main hunter gather component of NW Euros including Norwegians, Swedes rather than EHG.

One could maybe first think so. But it's not applicable. Have a look at the above (a number of posts above) posted results from the K11 (WHG-EHG) calculator. Even Portugese have much more EHG then WHG. And the explanation is easy. Yamnaya has roughly 50% EHG and 0% WHG.

[Reozek]

Isn't 35% Steppe too high for northern Italy. Other studies says 25%

Inviato dal mio POT-LX1T utilizzando Tapatalk

[cakmir7y]

23. Target: Czech = Ancient European : 100%
Distance: 4.8351% / 0.04835103
48.6 Western_Steppe_Herders
37.4 Early_European_Farmers
14.0 Western_Hunter_Gatherer




<tbody>
Target: Mirek_scaled
Distance: 4.650970% / 0.04650970





46.8
Western_Steppe_Herders






37.6
Early_European_Farmers






15.6
Western_Hunter_Gatherer



</tbody>


very close