Million thanks! Can you add modern Lithuanians and Estonians with same calc!
I didn't find Estonians for Dodecad K12b, but I found two Lithuanian samples there.
Here are the Dodecad K12b results, and also the Eurogenes K15 results.
I guess since more than 93% of the genes of these modern Balts comes from the first four categories in Eurogenes 15, maybe they are the most closely related to the ancient European hunter-gatherers.
Actually, the Caucasus component in the modern samples looks like the Gedrosia component in the 2,000-year-old sample.
[TD="class: xl68"]Dodecad K12b[/TD]
[TD="class: xl63"]Population[/TD]
[TD="class: xl63, width: 109"]Lithuanian_D[/TD]
[TD="class: xl63, width: 133"]Lithuanians[/TD]
[TD="class: xl66, width: 64"]RISE00[/TD]
[TD="class: xl63, width: 144"]Source[/TD]
[TD="class: xl64, width: 109"]Dodecad[/TD]
[TD="class: xl64, width: 133"]Behar[/TD]
[TD="class: xl63, width: 144"]N[/TD]
[TD="class: xl65, width: 109"]9[/TD]
[TD="class: xl65, width: 133"]9[/TD]
[TD="align: right"]1[/TD]
[TD="class: xl63, width: 144"]Gedrosia[/TD]
[TD="class: xl65, width: 109"]0[/TD]
[TD="class: xl65, width: 133"]0[/TD]
[TD="class: xl67, width: 64"]9.76%[/TD]
[TD="class: xl63, width: 144"]Siberian[/TD]
[TD="class: xl65, width: 109"]0[/TD]
[TD="class: xl65, width: 133"]0[/TD]
[TD="class: xl67, width: 64"]0.27%[/TD]
[TD="class: xl63, width: 144"]Northwest_African[/TD]
[TD="class: xl65, width: 109"]0[/TD]
[TD="class: xl65, width: 133"]0[/TD]
[TD="class: xl66, width: 64"]-[/TD]
[TD="class: xl63, width: 144"]Southeast_Asian[/TD]
[TD="class: xl65, width: 109"]0[/TD]
[TD="class: xl65, width: 133"]0[/TD]
[TD="class: xl66, width: 64"]-[/TD]
[TD="class: xl63, width: 144"]Atlantic_Med[/TD]
[TD="class: xl65, width: 109"]13.9[/TD]
[TD="class: xl65, width: 133"]13.7[/TD]
[TD="class: xl67, width: 64"]32.02%[/TD]
[TD="class: xl63, width: 144"]North_European[/TD]
[TD="class: xl65, width: 109"]73.7[/TD]
[TD="class: xl65, width: 133"]77.1[/TD]
[TD="class: xl67, width: 64"]56.99%[/TD]
[TD="class: xl63, width: 144"]South_Asian[/TD]
[TD="class: xl65, width: 109"]0.7[/TD]
[TD="class: xl65, width: 133"]0.1[/TD]
[TD="class: xl67, width: 64"]0.96%[/TD]
[TD="class: xl63, width: 144"]East_African[/TD]
[TD="class: xl65, width: 109"]0[/TD]
[TD="class: xl65, width: 133"]0[/TD]
[TD="class: xl66, width: 64"]-[/TD]
[TD="class: xl63, width: 144"]Southwest_Asian[/TD]
[TD="class: xl65, width: 109"]1.6[/TD]
[TD="class: xl65, width: 133"]1[/TD]
[TD="class: xl66, width: 64"]-[/TD]
[TD="class: xl63, width: 144"]East_Asian[/TD]
[TD="class: xl65, width: 109"]0[/TD]
[TD="class: xl65, width: 133"]0[/TD]
[TD="class: xl66, width: 64"]-[/TD]
[TD="class: xl63, width: 144"]Caucasus[/TD]
[TD="class: xl65, width: 109"]10.1[/TD]
[TD="class: xl65, width: 133"]8[/TD]
[TD="class: xl66, width: 64"]-[/TD]
[TD="class: xl63, width: 144"]Sub_Saharan[/TD]
[TD="class: xl65, width: 109"]0[/TD]
[TD="class: xl65, width: 133"]0[/TD]
[TD="class: xl66, width: 64"]-[/TD]
[TD="class: xl70"]Eurogenes K15[/TD]
[TD="class: xl67"]Population[/TD]
[TD="class: xl68, width: 64"]RISE00[/TD]
[TD="class: xl65, width: 64"]Estonian[/TD]
[TD="class: xl65, width: 64"]Lithuanian[/TD]
[TD="class: xl67, width: 122"]North_Sea[/TD]
[TD="class: xl69, width: 64"]37.87%[/TD]
[TD="class: xl71, width: 64"]26.23[/TD]
[TD="class: xl66, width: 64"]20.15[/TD]
[TD="class: xl67, width: 122"]Atlantic[/TD]
[TD="class: xl69, width: 64"]30.48%[/TD]
[TD="class: xl71, width: 64"]16.33[/TD]
[TD="class: xl66, width: 64"]15.72[/TD]
[TD="class: xl67, width: 122"]Baltic[/TD]
[TD="class: xl69, width: 64"]18.50%[/TD]
[TD="class: xl71, width: 64"]30.12[/TD]
[TD="class: xl66, width: 64"]36.36[/TD]
[TD="class: xl67, width: 122"]Eastern_Euro[/TD]
[TD="class: xl69, width: 64"]13.16%[/TD]
[TD="class: xl71, width: 64"]20.68[/TD]
[TD="class: xl66, width: 64"]21.18[/TD]
[TD="class: xl67, width: 122"]West_Med[/TD]
[TD="class: xl68, width: 64"]-[/TD]
[TD="class: xl71, width: 64"]1.83[/TD]
[TD="class: xl66, width: 64"]2.5[/TD]
[TD="class: xl67, width: 122"]West_Asian[/TD]
[TD="class: xl68, width: 64"]-[/TD]
[TD="class: xl71, width: 64"]0.56[/TD]
[TD="class: xl66, width: 64"]1.63[/TD]
[TD="class: xl67, width: 122"]East_Med[/TD]
[TD="class: xl68, width: 64"]-[/TD]
[TD="class: xl71, width: 64"]0.01[/TD]
[TD="class: xl66, width: 64"]0.61[/TD]
[TD="class: xl67, width: 122"]Red_Sea[/TD]
[TD="class: xl68, width: 64"]-[/TD]
[TD="class: xl71, width: 64"]0.00[/TD]
[TD="class: xl66, width: 64"]0.34[/TD]
[TD="class: xl67, width: 122"]South_Asian[/TD]
[TD="class: xl68, width: 64"]-[/TD]
[TD="class: xl71, width: 64"]0.53[/TD]
[TD="class: xl66, width: 64"]0.61[/TD]
[TD="class: xl67, width: 122"]Southeast_Asian[/TD]
[TD="class: xl68, width: 64"]-[/TD]
[TD="class: xl71, width: 64"]0.02[/TD]
[TD="class: xl66, width: 64"]0.06[/TD]
[TD="class: xl67, width: 122"]Siberian[/TD]
[TD="class: xl68, width: 64"]-[/TD]
[TD="class: xl71, width: 64"]2.13[/TD]
[TD="class: xl66, width: 64"]0.13[/TD]
[TD="class: xl67, width: 122"]Amerindian[/TD]
[TD="class: xl68, width: 64"]-[/TD]
[TD="class: xl71, width: 64"]1.09[/TD]
[TD="class: xl66, width: 64"]0.36[/TD]
[TD="class: xl67, width: 122"]Oceanian[/TD]
[TD="class: xl68, width: 64"]-[/TD]
[TD="class: xl71, width: 64"]0.46[/TD]
[TD="class: xl66, width: 64"]0.19[/TD]
[TD="class: xl67, width: 122"]Northeast_African[/TD]
[TD="class: xl68, width: 64"]-[/TD]
[TD="class: xl71, width: 64"]0.00[/TD]
[TD="class: xl66, width: 64"]0.11[/TD]
[TD="class: xl67, width: 122"]Sub-Saharan[/TD]
[TD="class: xl68, width: 64"]-[/TD]
[TD="class: xl71, width: 64"]0.00[/TD]
[TD="class: xl66, width: 64"]0.06[/TD]