Gedmatch calculators on Vahaduo

[Jana]

Please replace Bosniak average with the following ones:

Bosniak,24.88,32.47,15.40,8.91,13.89,1.77,0.79,0.51,0.57,0.47,0.26,0.02,0.06
Bosniak_Central_Northeast,25.73,35.04,14.18,8.58,12.19,1.26,0.98,0.31,0.62,0.60,0.25,0.16,0.10
Bosniak_Krajina_East,25.43,33.89,15.88,9.11,11.04,2.17,0.44,0.41,0.17,0.92,0.30,0.18,0.08
Bosniak_Krajina_West,27.62,30.59,15.24,8.49,14.98,0.74,0.11,0.45,0.27,0.73,0.64,0.12,0.02
Bosniak_Southeast,24.67,30.37,16.69,8.45,15.57,1.96,0.64,0.38,0.30,0.50,0.31,0.17,0.00

Credit goes to Vbnethkio, who made them.

[Ajeje Brazorf]

Bosniak PCA

[CommonSense]

Bosniak PCA

Nice work, but Bosniaks from Sandžak should also have been included in the PCA. Their numbers aren't insignificant.

[Ajeje Brazorf]

Nice work, but Bosniaks from Sandžak should also have been included in the PCA. Their numbers aren't insignificant.

Yeah, I forgot that sample.



Averages used

Spoiler!

Bosniak,24.88,32.47,15.40,8.91,13.89,1.77,0.79,0.51,0.57,0.47,0.26,0.02,0.06
Bosniak_Cazin_Bihac,27.62,30.59,15.24,8.49,14.98,0.74,0.11,0.45,0.27,0.73,0.64,0.12,0.02
Bosniak_Central_Northeast,25.73,35.04,14.18,8.58,12.19,1.26,0.98,0.31,0.62,0.60,0.25,0.16,0.10
Bosniak_Eastern_Krajina,25.43,33.89,15.88,9.11,11.04,2.17,0.44,0.41,0.17,0.92,0.30,0.18,0.08
Bosniak_Sandžak,24.09,24.59,19.05,10.39,18.12,1.78,0.19,0.38,0.49,0.55,0.29,0.01,0.06
Bosniak_Southeast,24.67,30.37,16.69,8.45,15.57,1.96,0.64,0.38,0.30,0.50,0.31,0.17,0.00
Albanian,21.69,17.54,21.72,11.13,23.86,2.59,0.16,0.28,0.28,0.28,0.22,0.16,0.09
Albanian_Gheg,21.88,18.15,21.86,11.23,22.94,2.61,0.19,0.24,0.26,0.19,0.26,0.16,0.02
Aromanian,21.26,20.34,19.00,11.77,22.61,3.09,0.18,0.47,0.47,0.41,0.38,0.04,0.00
Bulgarian,21.80,24.15,17.82,11.65,19.51,2.40,0.53,0.42,0.77,0.38,0.33,0.11,0.08
Bulgarian_Northcentral,21.30,24.45,17.41,11.88,19.86,2.33,0.65,0.28,0.99,0.37,0.28,0.07,0.14
Bulgarian_Northeastern,22.15,22.37,17.46,13.43,19.44,2.56,0.46,0.32,0.49,0.24,0.29,0.11,0.10
Bulgarian_Northwestern,22.04,26.19,17.58,10.15,19.05,2.31,0.40,0.52,0.70,0.51,0.38,0.07,0.09
Bulgarian_Southcentral,21.22,23.73,18.05,11.66,20.32,2.41,0.57,0.37,0.85,0.21,0.29,0.24,0.04
Bulgarian_Southeastern,20.13,21.81,18.44,13.87,20.44,2.92,0.43,0.30,0.48,0.44,0.47,0.11,0.07
Bulgarian_Southwestern,22.85,24.04,17.87,11.48,18.68,2.26,0.58,0.51,0.85,0.44,0.33,0.06,0.06
Croat,28.10,33.15,15.02,7.76,12.05,1.40,0.49,0.28,0.59,0.54,0.38,0.12,0.10
Croat_East,26.84,34.60,14.13,8.26,12.31,1.43,0.22,0.12,1.08,0.68,0.30,0.01,0.01
Croat_North,30.06,34.35,14.42,7.05,10.10,1.33,0.54,0.31,0.52,0.61,0.40,0.16,0.14
Croat_South,26.36,31.83,15.92,8.38,13.60,1.47,0.50,0.28,0.56,0.47,0.37,0.12,0.11
Croat_West,28.53,31.60,15.24,7.61,13.31,1.38,0.61,0.38,0.36,0.38,0.40,0.13,0.07
Csángó-Ceangău,27.60,29.46,15.34,8.91,11.04,1.51,0.87,1.07,2.64,0.81,0.47,0.15,0.15
Czech,32.33,37.42,11.45,5.60,8.50,1.59,1.15,0.44,0.51,0.91,0.00,0.05,0.06
Gagauz,19.35,22.92,18.13,13.07,21.02,2.46,0.65,0.37,0.91,0.33,0.51,0.21,0.07
German_Bavarian_Swabia,34.71,26.3,19.15,7.19,11.37,0,0,0,0,0.37,0.4,0,0.46
Greek_Northern_Thrace,19.04,22.53,19.23,12.02,24.12,0,0,0,1.00,0,1.52,0,0
Hungarian,30.43,32.58,14.23,7.16,10.42,1.28,0.9,0.55,1.19,0.55,0.35,0.2,0.15
Hungarian_Alföld,29.33,33.01,14.59,7.21,10.63,1.26,0.68,0.67,1.28,0.62,0.39,0.2,0.11
Hungarian_North,30.35,35.36,13.29,6.2,10.12,0.75,1.05,0.5,1.16,0.51,0.38,0.15,0.17
Hungarian_Transdanubia+Budapest,31.23,32.45,14.11,7.29,9.79,1.37,0.91,0.59,1.06,0.51,0.3,0.22,0.16
Hungarian_Transylvania+Székely,28.34,28.55,15.07,8.19,12.8,1.37,1.03,0.76,2.28,0.74,0.37,0.2,0.13
Lemko_Poland,27.74,37.63,14.89,7.34,9.48,0.24,0.42,0.58,0.56,0.60,0.52,0.00,0.00
Moldovan,23.31,31.19,15.42,9.57,14.52,1.81,0.97,0.63,1.41,0.46,0.42,0.12,0.18
Moldovan_Central,23.53,31.20,15.11,9.56,14.31,1.77,1.20,0.52,1.58,0.45,0.46,0.15,0.17
Moldovan_North,23.99,33.84,14.21,9.52,12.52,1.74,0.78,0.71,1.23,0.39,0.74,0.08,0.27
Moldovan_South,21.97,26.97,17.49,10.22,17.43,2.16,0.92,0.45,1.23,0.54,0.35,0.12,0.14
Montenegrin,24.13,26.54,18.30,9.74,17.15,2.10,0.23,0.26,0.68,0.40,0.32,0.07,0.06
North_Macedonian_Central,23.10,19.77,20.84,11.41,20.84,1.98,0.35,0.45,0.40,0.45,0.34,0.05,0.04
North_Macedonian_East,24.84,20.89,21.03,9.94,18.58,2.94,0.13,0.52,0.32,0.57,0.25,0.00,0.00
North_Macedonian_North,22.71,22.37,19.31,11.16,21.05,1.89,0.34,0.25,0.31,0.26,0.26,0.04,0.04
North_Macedonian_South,21.81,19.85,20.28,11.24,22.75,2.38,0.21,0.30,0.32,0.39,0.39,0.03,0.04
Pomak_Bulgaria,19.91,25.54,17.54,12.24,20.19,2.63,0.09,0.69,0.47,0.30,0.17,0.19,0.05
Pomak_Greece,18.71,25.67,15.92,12.89,21.39,2.55,0.34,0.34,1.27,0.36,0.58,0.00,0.00
Romanian,23.71,26.24,17.13,10.25,17.33,1.90,0.64,0.60,1.07,0.54,0.38,0.11,0.10
Romanian_Banat,23.88,25.79,17.43,10.47,17.42,1.87,0.49,0.57,1.19,0.45,0.26,0.11,0.06
Romanian_Crișana,25.14,27.30,16.89,9.51,16.54,1.32,0.69,0.43,0.91,0.60,0.44,0.12,0.10
Romanian_Dobruja,22.26,25.09,17.69,10.81,18.50,2.16,0.71,0.71,1.15,0.45,0.30,0.06,0.10
Romanian_Maramureș,26.03,28.85,16.08,9.29,14.55,1.83,0.84,0.74,0.77,0.46,0.42,0.07,0.06
Romanian_Muntenia,22.61,24.55,17.51,11.08,18.76,2.11,0.62,0.62,1.03,0.54,0.35,0.12,0.09
Romanian_North-Moldavia,24.89,30.80,15.19,9.09,14.27,1.69,0.84,0.56,1.37,0.53,0.47,0.17,0.13
Romanian_Oltenia,23.41,24.91,18.15,10.55,18.10,1.83,0.51,0.71,0.87,0.38,0.37,0.08,0.12
Romanian_South-Moldavia,24.02,26.72,16.79,9.78,17.00,2.06,0.64,0.58,1.14,0.64,0.37,0.10,0.16
Romanian_Transylvania,24.22,26.32,17.35,9.92,17.02,1.80,0.57,0.56,1.10,0.59,0.38,0.09,0.10
Romanian_Wallachia,22.69,24.74,17.64,10.95,18.58,2.07,0.62,0.65,1.01,0.49,0.35,0.11,0.10
Serb,24.72,29.47,17.13,9.20,15.42,1.55,0.55,0.27,0.72,0.53,0.30,0.08,0.05
Serb_Central,24.89,29.52,16.74,8.49,16.39,1.75,0.27,0.23,0.73,0.53,0.24,0.07,0.09
Serb_Croatia,25.35,30.09,16.65,8.84,15.35,1.52,0.51,0.30,0.51,0.41,0.34,0.08,0.04
Serb_Herzegovina,24.24,28.42,17.69,9.12,16.53,1.92,0.17,0.27,0.57,0.44,0.4,0.16,0.07
Serb_Montenegro,24.06,25.44,18.66,10.11,17.52,2.21,0.27,0.26,0.74,0.37,0.28,0.02,0.05
Serb_Republika_Srpska,24.92,31.27,16.57,9.03,14.29,1.28,0.52,0.30,0.84,0.39,0.47,0.07,0.05
Serb_South,23.55,28.45,16.82,9.8,16.96,2.09,0.51,0.30,0.60,0.38,0.27,0.12,0.12
Serb_Vojvodina,24.72,28.71,17.21,9.07,16.01,1.5,0.65,0.5,0.54,0.53,0.3,0.07,0.15
Serb_West,25.54,29.32,17.4,9.21,14.74,1.29,0.57,0.25,0.85,0.48,0.2,0.06,0.1
Slovak,30.84,37.18,12.99,6.3,8,1.09,1.03,0.39,0.58,0.73,0.53,0.15,0.21
Slovene,31.98,34.42,14.67,6.14,9.29,1.04,0.83,0.12,0.54,0.33,0.29,0.10,0.25
Torbesh,21.55,17.67,22.34,10.48,23.69,2.25,0.00,0.51,0.48,0.79,0.25,0.00,0.00
Ukrainian_Carpathians,26.50,38.13,13.24,7.09,9.82,1.21,1.06,0.35,1.41,0.65,0.25,0.16,0.13
Ukrainian_Galicia,27.87,39.97,12.58,7.17,7.51,1.27,1.03,0.33,1.17,0.57,0.37,0.09,0.07
Ukrainian_Moldova,26.14,41.20,11.47,6.64,9.05,1.05,1.11,0.70,1.19,0.54,0.28,0.35,0.27

[Peterski]

Mine updated 2-way, top 20

Very often get German_Brandenburg_outlier(Beeskow) in combination with some Greek average.

Distance to: Dušan
2.99684634 60.00% German_Brandenburg_outlier(Beeskow) + 40.00% Greek_Central_Macedonia
3.05662272 37.00% German_Brandenburg_outlier(Beeskow) + 63.00% Moldovan_South
3.15036793 62.40% German_Brandenburg_outlier(Beeskow) + 37.60% Greek_Eastern_Thrace
3.15255447 47.80% Russian_Tver-Yaroslavl + 52.20% Torbesh
3.22959276 66.00% German_Brandenburg_outlier(Beeskow) + 34.00% Greek_Athens
3.26174619 48.80% Gagauz + 51.20% German_Brandenburg_outlier(Beeskow)
3.26749765 63.00% German_Brandenburg_outlier(Beeskow) + 37.00% Greek_Peloponnese
3.27490210 53.20% Albanian_Gheg + 46.80% Russian_Tver-Yaroslavl
3.28290686 65.40% German_Brandenburg_outlier(Beeskow) + 34.60% Greek_Central
3.29547691 58.80% German_Brandenburg_outlier(Beeskow) + 41.20% Torbesh
3.30894402 60.60% German_Brandenburg_outlier(Beeskow) + 39.40% Greek_Eastern_Macedonia
3.32614797 62.20% German_Brandenburg_outlier(Beeskow) + 37.80% Greek_Western
3.33168204 42.20% Albanian_Gheg + 57.80% German_Brandenburg_outlier(Beeskow)
3.37087127 52.00% Bulgarian_Southcentral + 48.00% German_Brandenburg_outlier(Beeskow)

You get that very often because you are Serbian, and that sample is in fact a genetically pure Sorb, and Serbs are descended from Sorbs / White Serbs who migrated south into the Balkans. The very same sample is in Global25 as Sorb_Niederlausitz:

[Ion Basescul]

Please replace Moldova South average for K13

Moldovan_South,21.78,28.89,15.87,9.76,18.84,2.00,0.55,0.49,0.66,0.64,0.22,0.12,0.18

[rothaer]

You get that very often because you are Serbian, and that sample is in fact a genetically pure Sorb, and Serbs are descended from Sorbs / White Serbs who migrated south into the Balkans. The very same sample is in Global25 as Sorb_Niederlausitz: (...)

Yes, because you tricked Davidski and withheld the information that this is no ethnic Sorb, but an ethnic German, like all her ancestors the last 200 years, however.

Of course she will descend from Sorbs later back, like all Germans east of the Elbe-Saale line do descend from Sorbs and Polabians. But you have zero information about her ancestry and she being "in fact a genetically pure Sorb" is a Peterska interpretation only. You have no sense for separating facts and interpretations. Unfortunately.

[Dušan]

You get that very often because you are Serbian, and that sample is in fact a genetically pure Sorb, and Serbs are descended from Sorbs / White Serbs who migrated south into the Balkans. The very same sample is in Global25 as Sorb_Niederlausitz:

It is really fascinating how autosomal genetics can trace old historical migration.
I can be modeled with other northern Slavs, but neither combination give such close distance as these combinations with sample from todays eastern Germany.
With this, it is proven that historical records about white Serbs in todays eastern Germany is not a myth.

[Jana]

It is true this ethnic German woman is genetically very purely Slavic/Sorb, in fact she is more Slavic genetically than Peterski. However everything rothaer wrote stands. She has only German ancestors in last 200 years.

[Dušan]

It is true this ethnic German woman is genetically very purely Slavic/Sorb, in fact she is more Slavic genetically than Peterski. However everything rothaer wrote stands. She has only German ancestors in last 200 years.

How would you explain that I can be modeled closest with this sample, than with tens and tens Ukrainian, Polish, Russian, Belarussian regional averages?
Accidently or not?