Some regional German K13 averages for Vahaduo

[Armatus]

I compiled some averages for various German regions. I haven't enough kits for 4 subregions (Saxony, Thuringia, Brandenburg and East Prussia), so I substituted the first three simply with the Eurogenes K13 German_East Average.

Basic dataset


Germany_Baden,41.06,19.6,16.94,7.45,12.63,0.71,0.1 ,0.15,1.12,0.31,0.82,0.27,0
Germany_Bavaria,41.12,23.39,15.27,8.02,9.31,0.68,0 .25,0.11,1.12,0.29,0.22,0.02,0
Germany_Franconia,40.66,25.71,15.88,6.56,8.58,0.33 ,0.47,0.15,0,1.02,0,0.5,0.05
Germany_Hesse,43.03,23.66,16.12,5.85,8.12,1.08,0.5 8,0,0.16,0.32,0.64,0.76,0.06
Germany_LowerSaxony,48.21,21.84,9.88,5.35,4.75,0.2 5,1.05,0,0.42,0.16,0.35,0.8,0.07
Germany_MecklenburgVorpommern,43.98,30.09,9.88,7.1 ,4.66,0.25,0.28,0.38,0.97,0.22,0.03,0.47,0
Germany_Palatinate,42.03,21.93,17.82,5.36,10.43,0. 88,0.21,0.23,0.77,0.16,0,0.45,0.15
Germany_Rhineland,44.43,20.7,15.15,6.22,9.46,2.04, 0.31,0.29,0.62,0.23,0,0.52,0
Germany_SaxonyAnhalt,45.98,28.22,11.9,6.77,5.28,0. 52,0.5,1.07,0.44,0.28,0.02,0.74,0.3
Germany_SchleswigHolstein,51.36,27.96,9.44,3.74,3. 78,1.06,1.22,0.03,0.47,0.42,0.37,0.26,0.02
Germany_Swabia,41.42,21.77,15.95,7.66,9.78,0.7,0.1 6,0.14,1.1,0.3,0.55,0.19,0
Germany_Westphalia,47.38,21.92,14.9,5.33,6.93,0.44 ,0.61,0.12,0.52,0.2,0.14,0.22,0
German_Austria,36.96,28.3,15.15,8.1,8.04,1.33,0.87 ,0.31,0.1,0.18,0.13,0.26,0
German_Silesia,36.48,31.7,14.19,8.28,5.59,0.62,0.1 5,0.34,1.02,0.54,0.07,0.3,0.03
German_Switzerland,40.81,21.63,17.45,6.66,10.28,1. 37,0.22,0.19,0.3,0.47,0.38,0.18,0.05
German_East(Eurogenes),37.14,34.35,13.58,5.86,5.61 ,0.87,1.08,0.06,0.25,0.58,0.30,0.14,0.17


Neighbouring populations included (+Lithuanian as a proxy for Baltic admix and English for German Americans)


Germany_Baden,41.06,19.6,16.94,7.45,12.63,0.71,0.1 ,0.15,1.12,0.31,0.82,0.27,0
Germany_Bavaria,41.12,23.39,15.27,8.02,9.31,0.68,0 .25,0.11,1.12,0.29,0.22,0.02,0
Germany_Franconia,40.66,25.71,15.88,6.56,8.58,0.33 ,0.47,0.15,0,1.02,0,0.5,0.05
Germany_Hesse,43.03,23.66,16.12,5.85,8.12,1.08,0.5 8,0,0.16,0.32,0.64,0.76,0.06
Germany_LowerSaxony,48.21,21.84,9.88,5.35,4.75,0.2 5,1.05,0,0.42,0.16,0.35,0.8,0.07
Germany_MecklenburgVorpommern,43.98,30.09,9.88,7.1 ,4.66,0.25,0.28,0.38,0.97,0.22,0.03,0.47,0
Germany_Palatinate,42.03,21.93,17.82,5.36,10.43,0. 88,0.21,0.23,0.77,0.16,0,0.45,0.15
Germany_Rhineland,44.43,20.7,15.15,6.22,9.46,2.04, 0.31,0.29,0.62,0.23,0,0.52,0
Germany_SaxonyAnhalt,45.98,28.22,11.9,6.77,5.28,0. 52,0.5,1.07,0.44,0.28,0.02,0.74,0.3
Germany_SchleswigHolstein,51.36,27.96,9.44,3.74,3. 78,1.06,1.22,0.03,0.47,0.42,0.37,0.26,0.02
Germany_Swabia,41.42,21.77,15.95,7.66,9.78,0.7,0.1 6,0.14,1.1,0.3,0.55,0.19,0
Germany_Westphalia,47.38,21.92,14.9,5.33,6.93,0.44 ,0.61,0.12,0.52,0.2,0.14,0.22,0
German_Austria,36.96,28.3,15.15,8.1,8.04,1.33,0.87 ,0.31,0.1,0.18,0.13,0.26,0
German_Silesia,36.48,31.7,14.19,8.28,5.59,0.62,0.1 5,0.34,1.02,0.54,0.07,0.3,0.03
German_Switzerland,40.81,21.63,17.45,6.66,10.28,1. 37,0.22,0.19,0.3,0.47,0.38,0.18,0.05
German_East(Eurogenes),37.14,34.35,13.58,5.86,5.61 ,0.87,1.08,0.06,0.25,0.58,0.30,0.14,0.17
French(Eurogenes),42.85,16.74,22.72,4.28,9.36,1.58 ,0.63,0.27, 0.34,0.47,0.31,0.25,0.21
Polish(Eurogenes),30.43,45.49,10.42,5.43,3.74,1.24 ,0.96,0.11,0.29,0.84,0.26,0.51,0.28
Dutch(Eurogenes),49.05,25.17,12.16,4.92,3.98,1.17, 0.96,0.39,0.51,0.63,0.42,0.27,0.30
Danish(Eurogenes),50.61,28.70,10.19,5.00,2.12,0.52 ,0.99,0.19,0.42,0.59,0.23,0.12,0.17
Austrian(Eurogenes),37.21,29.87,14.58,7.23,8.23,1. 56,0.78,0.07,0.16,0.12,0.11,0.07,0.00
Belgian(Eurogenes),45.31,22.61,14.89,5.57,7.74,1.1 6,0.78,0.29,0.13,0.56,0.44,0.30,0.14
Czech(Eurogenes),33.53,37.14,12.43,5.94,7,0.9,1.18 ,0.14,0.66,0.59,0.26,0.19,0.13
Lithuanian(Eurogenes),28.87,53.90,7.17,3.91,1.48,0 .76,1.34,0.06,0.82,0.77,0.41,0.29,0.22
English(Eurogenes),49.92,23.49,13.55,5.65,3.78,0.7 0,1.08,0.14,0.26,0.55,0.41,0.22,0.19


Basically just add any average you deem fit.

[Lemminkäinen]

Target: Mm
Distance: 3.2905% / 3.29045746
66.3 Lithuanian(Eurogenes)
33.7 Danish(Eurogenes)

The closest non-Finnish group has been the Sorbs.

[Benyzero]

Target: Beny
Distance: 6.1292% / 6.12917947
73.0 Czech(Eurogenes)
15.3 Germany_Baden
11.7 French(Eurogenes)


Distance to: Beny
7.80636919 Austrian(Eurogenes)
8.46893146 German_Austria
8.55561804 Czech(Eurogenes)
8.90882708 German_Silesia
9.13423232 German_East(Eurogenes)
11.59317903 Germany_Franconia
13.48433536 Germany_Bavaria
14.10150347 German_Switzerland
14.51320433 Germany_Palatinate
14.58432378 Germany_Swabia
14.60129104 Germany_Hesse
15.86295370 Germany_Baden
15.98034418 Germany_MecklenburgVorpommern
16.91150200 Germany_SaxonyAnhalt
17.00800694 Polish(Eurogenes)
17.13102741 Belgian(Eurogenes)
17.41114586 Germany_Rhineland
19.26881418 Germany_Westphalia
19.95761509 French(Eurogenes)
20.64280989 Dutch(Eurogenes)
21.71289018 Germany_LowerSaxony
21.79315259 English(Eurogenes)
22.33550089 Danish(Eurogenes)
22.74065083 Germany_SchleswigHolstein
26.15847664 Lithuanian(Eurogenes)

[Luke35]

Cool. Here is my mother's results. She is a mix of West/South German + 1/8 English. She my also be up to 1/8 Prussian but that is not confirmed.

I eliminated Austrian and Swiss German from source to focus the results:

Target: Mr.G_mother(german)
Distance: 79.2643% / 0.79264290
19.0 English(Eurogenes)
18.4 Germany_Rhineland
14.6 Germany_Bavaria
12.4 Germany_Hesse
9.8 Germany_SchleswigHolstein
8.0 Germany_Baden
7.2 Germany_LowerSaxony
6.8 Germany_SaxonyAnhalt
2.8 German_East(Eurogenes)
1.0 Czech(Eurogenes)

[Jana]

Fantastic job! :thumbsup: They should be added to Vahaduo!

[PaulieVanZant]

Lul

Target: Stahlbestie
Distance: 0.9433% / 0.94331820
36.9 Germany_Rhineland
17.1 Lithuanian(Eurogenes)
15.4 Germany_SaxonyAnhalt
13.2 Germany_MecklenburgVorpommern
10.0 Germany_SchleswigHolstein
7.4 Austrian(Eurogenes)

[Luke35]

All these German regional averages help me tease out probably the best result I have ever gotten for K13:

Target: Mr.G
Distance: 153.1795% / 1.53179455
23.6 Hungarian_Transylvania_Szekely
22.8 Germany_Rhineland
20.0 Hungarian_Transdanubia+Budapest
14.2 Germany_LowerSaxony
11.2 Germany_Hesse
8.2 Germany_SchleswigHolstein

[Armatus]

Without neighbouring populations:

Distance to: Armatus
4.88183367 Germany_Swabia
4.99798960 Germany_Hesse
5.15816828 Germany_Bavaria
5.65686309 Germany_Palatinate
5.82254240 Germany_Rhineland
6.36649040 Germany_Franconia
7.33260527 Germany_Baden
7.66596374 Germany_Westphalia
10.58685506 Germany_SaxonyAnhalt
11.41451707 Germany_LowerSaxony
12.53927430 German_Silesia
12.72346651 Germany_MecklenburgVorpommern
15.04362988 German_East(Eurogenes)
15.75297432 Germany_SchleswigHolstein

Target: Armatus
Distance: 4.5610% / 4.56104787
54.0 Germany_Swabia
46.0 Germany_Hesse

With neighbouring populations and my closest population France_NE:

Distance to: Armatus
4.21532917 France_north-east(Eurogenes)
4.79704075 German_Switzerland
4.88183367 Germany_Swabia
4.99798960 Germany_Hesse
5.15816828 Germany_Bavaria
5.65686309 Germany_Palatinate
5.82254240 Germany_Rhineland
6.29300405 Belgian(Eurogenes)
6.36649040 Germany_Franconia
7.33260527 Germany_Baden
7.66596374 Germany_Westphalia
8.58033799 French(Eurogenes)
10.58685506 Germany_SaxonyAnhalt
10.61009896 English(Eurogenes)
10.73805383 Austrian(Eurogenes)
11.29715008 Dutch(Eurogenes)
11.41451707 Germany_LowerSaxony
12.53927430 German_Silesia
12.72346651 Germany_MecklenburgVorpommern
15.04362988 German_East(Eurogenes)
15.27115582 Danish(Eurogenes)
15.75297432 Germany_SchleswigHolstein
19.11996862 Czech(Eurogenes)
28.21925407 Polish(Eurogenes)
37.48712179 Lithuanian(Eurogenes)

Distance to: Armatus
3.74182622 14.00% German_Silesia + 86.00% France_north-east(Eurogenes)
3.94373988 13.00% Austrian(Eurogenes) + 87.00% France_north-east(Eurogenes)
3.95181573 30.60% Germany_Bavaria + 69.40% France_north-east(Eurogenes)

[calxpal]

With only German populations

Distance to: cpal
4.23160726 German_Austria
5.40199037 Germany_Franconia
6.08056741 German_Silesia
6.73425571 Germany_Bavaria
7.27966345 German_East(Eurogenes)
7.33428251 Germany_MecklenburgVorpommern
7.48566630 Germany_Hesse
7.97100997 Germany_SaxonyAnhalt
8.37094977 Germany_Swabia
8.98008352 German_Switzerland
9.45412079 Germany_Palatinate
9.85927482 Germany_Rhineland
11.15131831 Germany_Westphalia
11.26986247 Germany_Baden
12.30454794 Germany_LowerSaxony
13.78160005 Germany_SchleswigHolstein

Target: cpal
Distance: 266.6585% / 2.66658543
36.0 German_Austria
27.4 German_East(Eurogenes)
23.2 Germany_Rhineland
13.4 Germany_MecklenburgVorpommern

With neighbors

Distance to: cpal
3.74132330 Austrian(Eurogenes)
4.23160726 German_Austria
4.23160726 German_Austria
5.40199037 Germany_Franconia
5.40199037 Germany_Franconia
6.08056741 German_Silesia
6.08056741 German_Silesia
6.73425571 Germany_Bavaria
6.73425571 Germany_Bavaria
7.27966345 German_East(Eurogenes)
7.27966345 German_East(Eurogenes)
7.33428251 Germany_MecklenburgVorpommern
7.33428251 Germany_MecklenburgVorpommern
7.48566630 Germany_Hesse
7.48566630 Germany_Hesse
7.97100997 Germany_SaxonyAnhalt
7.97100997 Germany_SaxonyAnhalt
8.37094977 Germany_Swabia
8.37094977 Germany_Swabia
8.98008352 German_Switzerland
8.98008352 German_Switzerland
9.04664579 Belgian(Eurogenes)
9.45412079 Germany_Palatinate
9.45412079 Germany_Palatinate
9.85927482 Germany_Rhineland

Target: cpal
Distance: 200.8667% / 2.00866675
46.6 Czech(Eurogenes)
44.4 Germany_Rhineland
7.4 Germany_LowerSaxony
1.4 German_Austria
0.2 Lithuanian(Eurogenes)

[Celestia]

With only German. My German ancestry originated from Leisnig, Saxony, Germany.

Distance to: Celestia
4.61930731 Germany_Westphalia
5.21791146 Germany_LowerSaxony
8.13612930 Germany_Rhineland
8.22028588 Germany_SaxonyAnhalt
8.39504020 Germany_Hesse
8.79630604 Germany_SchleswigHolstein
10.56340381 Germany_Swabia
10.65602646 Germany_Bavaria
10.80003241 Germany_Palatinate
11.10580929 Germany_Franconia
11.25181763 Germany_MecklenburgVorpommern
11.43138662 German_Switzerland
13.01710797 Germany_Baden
14.89746287 German_Austria
16.62726075 German_Silesia
17.65660783 German_East(Eurogenes)

with neighbors
Target: Celestia
Distance: 237.3280% / 2.37328020
77.0 English(Eurogenes)
12.2 French(Eurogenes)
10.8 Germany_LowerSaxony

[Ajeje Brazorf]

Distances of the most Slavic-leaning:


Distance to: German_East
3.92242272 German_Silesia
4.92629678 Czech
5.53826688 Austrian
7.04751729 Slovenian
7.11303030 German_Austria
7.36875159 Slovak
7.71774578 Hungarian_Transdanubia+Budapest
8.28929430 Hungarian_Northern
8.54745576 Croat_North
8.64506796 Hungarian
8.66050229 Sorb_Lusatia
9.11311143 Germany_MecklenburgVorpommern
9.20207585 German
9.62271791 Hungarian_Alföld

Distance to: German_Silesia
3.79878928 Austrian
3.92242272 German_East
4.55548022 German_Austria
6.93056996 Hungarian_Transdanubia+Budapest
7.08710096 Czech
7.24394230 Slovenian
7.94580392 Hungarian
8.34540592 Germany_Franconia
8.36562012 German
8.43785518 Croat_North
8.63148307 Slovak
8.81141305 Hungarian_Northern
8.94243815 Germany_MecklenburgVorpommern
8.97425763 Hungarian_Alföld

Distance to: German_Austria
1.95130725 Austrian
4.55548022 German_Silesia
5.05691606 Germany_Franconia
6.70913556 Germany_Bavaria
6.88540485 German
7.11303030 German_East
7.27908648 France_Alsace
7.48490481 Hungarian_Transdanubia+Budapest
7.72447409 German_South
7.92593843 Swiss_German
8.07241600 Germany_Hesse
8.27763855 Germany_Swabia
8.35548921 Hungarian
8.48476871 Slovenian
8.50450469 German_Switzerland
8.79728936 German_West
8.81831050 Swiss_German2
9.37014941 Germany_Palatinate
9.45812878 Swiss_French
9.48971549 Hungarian_Alföld
9.52177504 Croat_North
9.73000514 Pennsylvania_Dutch
9.74750224 Germany_MecklenburgVorpommern

[noricum]

Knowing me and my family, I already knew I had to go with the sheet including reference populations ;)

Target: noricum_sisinlaw(austrian)
Distance: 4.8407% / 4.84072180
75.0 German_Austria
25.0 French(Eurogenes)

Distance to: noricum_sisinlaw(austrian)
6.21118346 German_Austria
7.26513592 Germany_Franconia
7.51803166 German_Switzerland
7.76486317 Germany_Bavaria
7.76640200 Austrian(Eurogenes)
8.20318840 Germany_Swabia
8.76450227 Germany_Palatinate
9.36119116 Germany_Hesse
9.37799019 Germany_Baden
9.63616106 German_Silesia
11.67935786 Germany_Rhineland
12.04526048 Belgian(Eurogenes)
12.32886856 German_East(Eurogenes)
12.63815651 French(Eurogenes)
14.10961374 Germany_Westphalia
14.45808770 Germany_SaxonyAnhalt
14.81115120 Czech(Eurogenes)
15.00085331 Germany_MecklenburgVorpommern
17.08727012 Dutch(Eurogenes)
17.18552007 English(Eurogenes)
17.57052646 Germany_LowerSaxony
20.14292432 Danish(Eurogenes)
20.76089112 Germany_SchleswigHolstein
23.95722647 Polish(Eurogenes)
33.47078278 Lithuanian(Eurogenes)

Target: Noricum(austrian)
Distance: 3.8659% / 3.86585285
82.1 Czech(Eurogenes)
17.9 Germany_Baden

Distance to: Noricum(austrian)
5.32910874 Czech(Eurogenes)
6.32977093 German_East(Eurogenes)
7.08048021 Austrian(Eurogenes)
7.94558997 German_Silesia
8.66378670 German_Austria
11.77130409 Germany_Franconia
13.18137322 Germany_MecklenburgVorpommern
13.93336643 Germany_Bavaria
14.12883222 Polish(Eurogenes)
14.59656466 Germany_Hesse
14.75616142 Germany_SaxonyAnhalt
15.30048365 German_Switzerland
15.37076771 Germany_Swabia
15.53142299 Germany_Palatinate
16.62433457 Belgian(Eurogenes)
17.27610778 Germany_Baden
17.43966743 Germany_Rhineland
18.64887664 Germany_Westphalia
18.75948827 Dutch(Eurogenes)
19.60079590 Danish(Eurogenes)
19.87479811 Germany_SchleswigHolstein
20.04558305 Germany_LowerSaxony
20.39509500 English(Eurogenes)
21.91241201 French(Eurogenes)
23.10673711 Lithuanian(Eurogenes)


Target: noricum_halfbro(austrian)
Distance: 6.9228% / 6.92275883
52.6 Czech(Eurogenes)
47.4 Polish(Eurogenes)


Distance to: noricum_halfbro(austrian)
8.31794446 Czech(Eurogenes)
8.61199745 Polish(Eurogenes)
12.87763177 German_East(Eurogenes)
14.84770016 German_Silesia
15.70268130 Austrian(Eurogenes)
16.21798693 Lithuanian(Eurogenes)
17.01200165 German_Austria
21.03038754 Germany_Franconia
21.18897827 Germany_MecklenburgVorpommern
23.19649327 Germany_Bavaria
23.41420295 Germany_SaxonyAnhalt
23.95255936 Germany_Hesse
24.49924080 German_Switzerland
24.64497718 Germany_Swabia
24.93034897 Germany_Palatinate
26.07591801 Belgian(Eurogenes)
26.49679792 Germany_Baden
26.97921051 Germany_Rhineland
27.55299258 Dutch(Eurogenes)
27.56239467 Danish(Eurogenes)
28.08675845 Germany_Westphalia
28.15231784 Germany_SchleswigHolstein
29.02510293 Germany_LowerSaxony
29.31484095 English(Eurogenes)
30.66571049 French(Eurogenes)

[Armatus]

Knowing me and my family, I already knew I had to go with the sheet including reference populations ;)


Wow, these are some massive distance you and even more so your half brother have. Is he fully carinthian? He is probably my genetic antipode in the German speaking world ;)

[Dunai]

Can you tell us how many individual kits were used for each regional average? I would even suggest to compile together a few regions and add them to Vahaduo, like 5-6 German regions should be enough.

[Leto]

Creoda's macroregions are more solid IMO. Averages for every Bundesland are redundant. Especially if it's just 3-4 samples per Land.

[noricum]

Wow, these are some massive distance you and even more so your half brother have. Is he fully carinthian? He is probably my genetic antipode in the German speaking world ;)

Yes, he is fully Carinthian his mum is Carinthian Slovene, our patrilinear great-grandfather is unknown though.

[Tanais]

Distances of the most Slavic-leaning:
Do you actually know what happened to the Vahaduo site? I get total nonsense results:
https://www.theapricity.com/forum/showthread.php?344491-WHAT-happened-to-Vahaduo

All samples are half dumped, which means that when there was a modern population with a distance of 0.08.., it's now 0.16..

[Armatus]

Can you tell us how many individual kits were used for each regional average? I would even suggest to compile together a few regions and add them to Vahaduo, like 5-6 German regions should be enough.


Creoda's macroregions are more solid IMO. Averages for every Bundesland are redundant. Especially if it's just 3-4 samples per Land.

I actually agree with this statement, the sample size is too small (only around 4-7 kits per average) and for most purposes the macroclusters are more accurate since the difference of some kits in the same cluster is actually bigger than the difference between different clusters.

[Sebbo]

I compiled some averages for various German regions. I haven't enough kits for 4 subregions (Saxony, Thuringia, Brandenburg and East Prussia), so I substituted the first three simply with the Eurogenes K13 German_East Average.

Basic dataset


Germany_Baden,41.06,19.6,16.94,7.45,12.63,0.71,0.1 ,0.15,1.12,0.31,0.82,0.27,0
Germany_Bavaria,41.12,23.39,15.27,8.02,9.31,0.68,0 .25,0.11,1.12,0.29,0.22,0.02,0
Germany_Franconia,40.66,25.71,15.88,6.56,8.58,0.33 ,0.47,0.15,0,1.02,0,0.5,0.05
Germany_Hesse,43.03,23.66,16.12,5.85,8.12,1.08,0.5 8,0,0.16,0.32,0.64,0.76,0.06
Germany_LowerSaxony,48.21,21.84,9.88,5.35,4.75,0.2 5,1.05,0,0.42,0.16,0.35,0.8,0.07
Germany_MecklenburgVorpommern,43.98,30.09,9.88,7.1 ,4.66,0.25,0.28,0.38,0.97,0.22,0.03,0.47,0
Germany_Palatinate,42.03,21.93,17.82,5.36,10.43,0. 88,0.21,0.23,0.77,0.16,0,0.45,0.15
Germany_Rhineland,44.43,20.7,15.15,6.22,9.46,2.04, 0.31,0.29,0.62,0.23,0,0.52,0
Germany_SaxonyAnhalt,45.98,28.22,11.9,6.77,5.28,0. 52,0.5,1.07,0.44,0.28,0.02,0.74,0.3
Germany_SchleswigHolstein,51.36,27.96,9.44,3.74,3. 78,1.06,1.22,0.03,0.47,0.42,0.37,0.26,0.02
Germany_Swabia,41.42,21.77,15.95,7.66,9.78,0.7,0.1 6,0.14,1.1,0.3,0.55,0.19,0
Germany_Westphalia,47.38,21.92,14.9,5.33,6.93,0.44 ,0.61,0.12,0.52,0.2,0.14,0.22,0
German_Austria,36.96,28.3,15.15,8.1,8.04,1.33,0.87 ,0.31,0.1,0.18,0.13,0.26,0
German_Silesia,36.48,31.7,14.19,8.28,5.59,0.62,0.1 5,0.34,1.02,0.54,0.07,0.3,0.03
German_Switzerland,40.81,21.63,17.45,6.66,10.28,1. 37,0.22,0.19,0.3,0.47,0.38,0.18,0.05
German_East(Eurogenes),37.14,34.35,13.58,5.86,5.61 ,0.87,1.08,0.06,0.25,0.58,0.30,0.14,0.17


Neighbouring populations included (+Lithuanian as a proxy for Baltic admix and English for German Americans)


Germany_Baden,41.06,19.6,16.94,7.45,12.63,0.71,0.1 ,0.15,1.12,0.31,0.82,0.27,0
Germany_Bavaria,41.12,23.39,15.27,8.02,9.31,0.68,0 .25,0.11,1.12,0.29,0.22,0.02,0
Germany_Franconia,40.66,25.71,15.88,6.56,8.58,0.33 ,0.47,0.15,0,1.02,0,0.5,0.05
Germany_Hesse,43.03,23.66,16.12,5.85,8.12,1.08,0.5 8,0,0.16,0.32,0.64,0.76,0.06
Germany_LowerSaxony,48.21,21.84,9.88,5.35,4.75,0.2 5,1.05,0,0.42,0.16,0.35,0.8,0.07
Germany_MecklenburgVorpommern,43.98,30.09,9.88,7.1 ,4.66,0.25,0.28,0.38,0.97,0.22,0.03,0.47,0
Germany_Palatinate,42.03,21.93,17.82,5.36,10.43,0. 88,0.21,0.23,0.77,0.16,0,0.45,0.15
Germany_Rhineland,44.43,20.7,15.15,6.22,9.46,2.04, 0.31,0.29,0.62,0.23,0,0.52,0
Germany_SaxonyAnhalt,45.98,28.22,11.9,6.77,5.28,0. 52,0.5,1.07,0.44,0.28,0.02,0.74,0.3
Germany_SchleswigHolstein,51.36,27.96,9.44,3.74,3. 78,1.06,1.22,0.03,0.47,0.42,0.37,0.26,0.02
Germany_Swabia,41.42,21.77,15.95,7.66,9.78,0.7,0.1 6,0.14,1.1,0.3,0.55,0.19,0
Germany_Westphalia,47.38,21.92,14.9,5.33,6.93,0.44 ,0.61,0.12,0.52,0.2,0.14,0.22,0
German_Austria,36.96,28.3,15.15,8.1,8.04,1.33,0.87 ,0.31,0.1,0.18,0.13,0.26,0
German_Silesia,36.48,31.7,14.19,8.28,5.59,0.62,0.1 5,0.34,1.02,0.54,0.07,0.3,0.03
German_Switzerland,40.81,21.63,17.45,6.66,10.28,1. 37,0.22,0.19,0.3,0.47,0.38,0.18,0.05
German_East(Eurogenes),37.14,34.35,13.58,5.86,5.61 ,0.87,1.08,0.06,0.25,0.58,0.30,0.14,0.17
French(Eurogenes),42.85,16.74,22.72,4.28,9.36,1.58 ,0.63,0.27, 0.34,0.47,0.31,0.25,0.21
Polish(Eurogenes),30.43,45.49,10.42,5.43,3.74,1.24 ,0.96,0.11,0.29,0.84,0.26,0.51,0.28
Dutch(Eurogenes),49.05,25.17,12.16,4.92,3.98,1.17, 0.96,0.39,0.51,0.63,0.42,0.27,0.30
Danish(Eurogenes),50.61,28.70,10.19,5.00,2.12,0.52 ,0.99,0.19,0.42,0.59,0.23,0.12,0.17
Austrian(Eurogenes),37.21,29.87,14.58,7.23,8.23,1. 56,0.78,0.07,0.16,0.12,0.11,0.07,0.00
Belgian(Eurogenes),45.31,22.61,14.89,5.57,7.74,1.1 6,0.78,0.29,0.13,0.56,0.44,0.30,0.14
Czech(Eurogenes),33.53,37.14,12.43,5.94,7,0.9,1.18 ,0.14,0.66,0.59,0.26,0.19,0.13
Lithuanian(Eurogenes),28.87,53.90,7.17,3.91,1.48,0 .76,1.34,0.06,0.82,0.77,0.41,0.29,0.22
English(Eurogenes),49.92,23.49,13.55,5.65,3.78,0.7 0,1.08,0.14,0.26,0.55,0.41,0.22,0.19


Basically just add any average you deem fit.


Interesting post, can you tell me how many samples you used for Lower Saxony and where they were from exactly, and the same for Saxony Anhalt! :)