Academic German samples GEDmatch results

[Peterski]

Some academic German samples, very good quality raw data files:

Eurogenes K15:


German1,37.27,22.82,12.65,9.46,5.98,1.85,7.39,1.1, 0,0,0.43,0.7,0,0,0.35
German2,31.67,22.84,18.2,12.49,10.05,0.19,2.49,0.2 1,0,0,0,1.01,0,0,0.85
German3,37.01,33.09,12.82,7.75,3.53,2.59,0,0,2.23, 0,0,0.35,0.64,0,0
German4,31.61,22.45,15.57,10.61,7.45,2.46,7.08,0,0 .77,0,0.18,1.37,0,0.45,0
German5,29.73,18.2,23.18,15.92,6.79,2.37,2.52,0.41 ,0,0.36,0,0,0.53,0,0
German6,26.77,21.91,23.22,12.59,7.48,5.87,1.98,0,0 ,0,0.06,0,0,0,0.13
German7,29.58,19.71,19.89,13.79,9.44,6.89,0,0,0,0, 0,0.02,0.68,0,0
German8,29.85,17.56,21.78,16.25,7.72,5.68,0,0.41,0 ,0,0,0.04,0,0,0.72
German9,26.23,26.39,22.13,13.16,5.78,2.02,0.95,3.0 5,0,0,0,0,0.28,0,0
German10,36.23,27.85,11.47,7.09,5.04,3.62,6.98,0,0 ,0,0,0,0.94,0.79,0
German11,32.99,27.91,15.01,9.43,5.42,2.9,2.72,0,3. 08,0.34,0,0,0,0.2,0
German12,40.7,16.45,17.46,12.95,5.66,2.08,2.79,0,0 .82,0,0,0,1.06,0,0.04
German13,34.23,21.62,18.88,12.09,5.7,3.34,0,1.34,1 .23,1.17,0,0.43,0,0,0
German14,31.4,20.46,20.42,13.65,8.12,2.56,1.5,0.57 ,0,0,0,0.88,0.3,0.14,0
German15,31.75,20.53,21.22,11.91,5.07,7.59,0,0.66, 0,0.08,0,0.11,0.68,0,0.39
German16,37.97,26.52,15.53,8.68,4.41,5.75,0,0.14,0 ,0,0,0,0.63,0.13,0.24
German17,36.03,23.27,13.66,8.26,10.59,4.16,1.3,0.5 ,1.78,0,0,0.43,0.02,0,0
German18,29.05,20.29,14.77,15.24,10.96,4.96,2,1.25 ,0.18,0,0,0,0,1.3,0
German19,31.33,23.37,15.53,13.22,7.39,4.99,1.46,0, 1.91,0.44,0,0,0.34,0.03,0
German20,30.21,19.14,22.75,13.81,4.75,5.94,0,2.06, 0,0,0.59,0,0.74,0,0
German21,31.44,23.78,17.19,11.47,8.62,3.23,2,1.69, 0,0,0,0,0.59,0,0
German22,27.77,24.61,18.92,9.3,8.34,4.64,4.36,0.8, 1.24,0,0,0,0,0,0
German23,32.07,22.87,13.18,13.09,9.99,2.92,1.28,2. 35,1.76,0.15,0.33,0.01,0,0,0
German24,31.37,30.47,11.54,7.35,8.73,4.97,3.21,0,0 .1,0,1.51,0,0,0.47,0.3
German25,37.59,23.69,13.6,9.48,5.18,3.51,4.42,0.63 ,0.15,0,0,0.88,0,0.38,0.48
German26,37.01,16.89,16.87,6.7,9.73,8.41,2.63,0,0, 0,0,0.39,0.16,0,1.21
German27,38.07,22.88,15.18,11.13,8,3.47,0,0,0,0,0. 72,0.03,0.53,0,0
German28,33.69,18.88,18.79,11.82,10.4,1.97,4.21,0, 0,0,0,0,0.25,0,0
German29,24.73,21,15.59,10.35,11.76,5.87,7.42,1.39 ,0.71,0,0,0,0.39,0.78,0
German30,32.86,25.31,17.29,13.02,5.16,4.24,2.06,0, 0,0,0,0.06,0,0,0

Eurogenes K13:


German1,45.96,25.91,10.24,4.74,8.97,1.44,0,0,1.01, 1.14,0,0,0.59
German2,40.44,34.01,13.85,2.11,5.73,0.75,0.3,0,0,1 .73,0.18,0,0.9
German3,52.63,28.29,8.6,4.68,1.57,0,2.58,0,0,0.65, 0.92,0.08,0
German4,41.92,28.51,11.44,3.21,10.33,0.16,1.25,0,0 .91,1.64,0,0.62,0
German5,35.46,40.55,10.97,3.66,6.36,0.32,0,1.07,0. 75,0,0.86,0,0
German6,37.19,36.53,11.66,7.44,5.4,0.13,0,0,1.12,0 ,0.19,0,0.33
German7,36.84,34.36,14.36,8.73,3.82,0.1,0,0,0,0.67 ,1.12,0,0
German8,36.69,37.53,12.25,7.35,3.89,0.08,0,0,0,1,0 .24,0,0.97
German9,41.08,35.6,10.81,3.72,4.59,2.95,0,0.33,0.0 4,0,0.67,0.21,0
German10,48.92,23.22,10.39,4.69,10.07,0,0.46,0,0,0 ,1.24,0.99,0
German11,47.47,27.45,10.86,4.29,4.67,0,3.98,0.56,0 .33,0,0,0.25,0.14
German12,43.46,33.83,8.56,4.82,5.99,0.26,1.31,0,0, 0.25,1.32,0,0.19
German13,43.85,33.3,9.74,6.5,0,2.44,1.64,1.72,0,0. 65,0.15,0,0
German14,40.37,34.88,11.91,4.97,3.83,1.39,0.37,0.0 4,0,1.56,0.49,0.2,0
German15,40.55,34.27,10.01,9.34,1.53,1.67,0,0.61,0 ,0.4,1.04,0,0.59
German16,49.43,29.4,8.06,7.6,3.33,0.36,0,0,0.37,0. 08,0.79,0.57,0
German17,45.77,25.83,14.29,5.77,4.06,1,2.21,0,0,0. 92,0.16,0,0
German18,36.55,31.78,14.66,7.43,4.73,1.76,0.78,0,0 .78,0.31,0,1.23,0
German19,41.73,31,11.13,6.81,4.68,0.49,2.05,0.72,0 .67,0.01,0.58,0.14,0
German20,37.7,38.33,7.92,7.04,3.66,2.56,0.13,0,1.5 ,0.09,1.06,0,0
German21,42.15,31.44,12.37,5.14,6.1,1.61,0,0.03,0. 15,0.07,0.92,0.02,0
German22,39.4,30.34,13.2,7.13,6.77,1.06,1.96,0,0,0 ,0,0.15,0
German23,41.33,29.93,13.14,5.34,4.14,2.52,1.87,0.4 ,0.88,0.27,0.11,0.07,0
German24,48.53,22.5,12.64,6.24,6.36,0,0.76,0,1.96, 0.13,0,0.63,0.23
German25,46.58,28.16,8.6,5.03,7.55,0.93,0.77,0,0,1 .32,0,0.26,0.81
German26,41.35,28.24,12.59,8.58,6.67,0,0,0,0.13,0. 79,0.41,0,1.24
German27,46.45,30.38,12.64,5.82,1.95,0,0.33,0,1.48 ,0.24,0.69,0,0.02
German28,40.27,33.04,14.16,2.41,8.97,0,0,0,0,0.36, 0.7,0.06,0.03
German29,34.56,27.58,16.06,5.96,11.48,1.22,1.37,0, 0,0.25,0.67,0.86,0
German30,45.15,33.56,8.88,5.67,5.48,0,0,0.88,0,0.3 7,0,0,0

Dodecad K12b:


German1,7.74,0.23,0.19,0,33.71,44.36,0,0,4.45,0,9, 0.33
German2,5.18,0,0,0,33.13,49.5,0.32,0.73,1.5,0,9.64 ,0
German3,9.86,0,0,0,35.84,50.53,1.04,0.47,0,0,2.26, 0
German4,5.75,1.21,2.13,0,32.74,45.3,0,0.19,0.75,0, 11.61,0.31
German5,4.02,0,2.04,1.21,28.13,52.67,0,0,0.53,0,11 .39,0
German6,7.29,0.41,0,0,31.69,52.83,0,0,0.52,0,7.25, 0.01
German7,8.06,0,0.68,0,31.51,48.86,0.59,0,0.07,0,10 .24,0
German8,6.46,0.2,0,0,28.55,53.05,0,0,0.96,0,10.03, 0.75
German9,4.93,0.72,0,0,31.12,50.75,0,0,2.96,0,9.52, 0
German10,8.01,0,0.44,0,35.39,43.85,0.5,0.65,0.09,0 ,11.07,0
German11,10.1,0.3,0,0.67,34.25,46.1,1.75,0,0.53,0, 6.18,0.11
German12,6.32,0.11,0,0.04,31.18,52.18,0.75,0,1.92, 0,6.46,1.04
German13,6.51,0.14,0,0.63,30,51.51,0,0,4.68,0,6.05 ,0.48
German14,6.69,0.71,0,0.66,32.25,48.93,0,0,1.73,0,9 .02,0
German15,8.2,0.64,0.59,0.34,29.28,51.53,0,0,0.71,0 ,8.69,0
German16,8.19,0,0,0,33.73,50.49,0,0,0,0,7.35,0.23
German17,9.67,0,0.41,0,37.09,46,0.62,0.12,0.51,0,5 .59,0
German18,6.6,1.1,1.85,0,30.4,46.51,0,0,3.79,0,9.37 ,0.39
German19,8.16,1,1.02,0,31.56,46.76,1.31,0,0,0,10.2 ,0
German20,7.37,1.08,1.21,0,26.83,52.61,0,0,2.54,0,8 .35,0
German21,6.25,0.1,0.63,0.02,33.72,48.26,0.35,0.15, 3.01,0,7.5,0
German22,7.21,0,1.36,0,31.71,45.96,0,0,1.59,0,12.1 6,0
German23,6.96,1.21,0,0.58,32.21,46.01,1.07,0,2.68, 0,9.27,0
German24,7.92,0.59,0,0,37.26,40.99,0.44,0,1.82,0.4 2,10.57,0
German25,8.97,0.73,0,0,35.29,46.18,0.2,1,1.78,0,5. 85,0
German26,5.79,0.98,0,0.27,30.05,48.41,0,0,0,0,13.3 7,1.13
German27,5.91,0.52,0,0,35.53,50.17,0,0.25,0,0,7.63 ,0
German28,3.71,0,0.54,0,32.9,48.87,0,0,2.06,0,11.92 ,0
German29,4.99,0,0,0,32.52,42.19,0.94,0.45,2.57,0,1 6.34,0
German30,7.31,0,0,0,30.85,52.38,0,0,2.18,0,7.26,0

98078

[Peterski]

Based on Apricity's collectively updated K13 spreadsheet, top 3 populations for each sample:

Distance to: German30
5.97826062 Swedish
6.92278123 Danish
7.21571895 North_German

Distance to: German29
3.11202506 Hungarian_Transdanubia
5.29916975 Austrian
6.47375471 Hungarian

Distance to: German28
5.78750378 East_German
6.84456719 Austrian
7.38028455 German_east

Distance to: German27
3.75025332 Danish
4.50032221 Swedish
5.11551561 North_German

Distance to: German26
5.64269439 German_West
5.75690021 Austrian
6.79354105 East_German

Distance to: German25
4.59064266 North_German
5.18618357 Danish
6.38361183 German_West

Distance to: German24
3.97148587 Southeast_English
4.30368447 English
4.73797425 German_West

Distance to: German23
5.67346455 East_German
6.48932200 Austrian
7.06025495 German_West

Distance to: German22
3.28158498 Austrian
3.33006006 East_German
6.32045093 Hungarian_Transdanubia

Distance to: German21
5.75339900 East_German
6.47543821 Austrian
7.45436785 German_West

Distance to: German20
5.90908622 German_east
7.55228442 Czech
8.81222446 Southwest_Finnish

Distance to: German19
6.14100155 East_German
6.73333498 North_German
7.07580384 Austrian

Distance to: German18
2.82536723 East_German
4.26652083 Austrian
5.75392909 German_east

Distance to: German17
3.29072940 German_West
4.78278162 North_German
4.95425070 English

Distance to: German16
3.91619713 Norwegian
4.28830969 North_German
4.70923561 Danish

Distance to: German15
7.19457434 German_east
8.58673978 East_German
9.57777114 North-Swedish

Distance to: German14
4.17414662 German_east
5.88328990 East_German
8.09357770 Czech

Distance to: German13
6.79461552 Swedish
7.67301114 North-Swedish
8.19962804 Danish

Distance to: German12
7.10588489 Swedish
8.11757969 Danish
8.16397575 North-Swedish

Distance to: German11
3.56460376 Danish
4.04261054 North_German
5.29874513 Swedish

Distance to: German10
6.49837672 Southeast_English
7.17247517 German_West
7.81821591 English

Distance to: German9
5.53534100 German_east
7.46807874 East_German
8.90415072 Czech

Distance to: German8
2.65265904 German_east
5.02598249 Czech
6.79927937 East_German

Distance to: German7
4.48142834 German_east
4.75316737 East_German
6.60246166 Czech

Distance to: German6
2.67561208 German_east
4.67078152 Czech
5.82524678 East_German

Distance to: German5
5.14349103 Czech
5.46977148 German_east
5.96540024 South_Polish

Distance to: German4
7.73543793 Austrian
8.05906322 German_West
8.21757263 Hungarian_Transdanubia

Distance to: German3
3.31295940 Norwegian
3.92479299 North-Dutch
5.56935364 Swedish

Distance to: German2
5.83940065 East_German
5.89627001 German_east
8.05597294 Austrian

Distance to: German1
5.21497843 German_West
5.97855334 North_German
6.54959541 Danish

[Leto]

Thanks, Piotrski, I will be using this average for Dodecad

Gedrosia 7.00
Siberian 0.40
Northwest_African 0.44
Southeast_Asian 0.15
Atlantic_Med 32.35
North_European 48.46
South_Asian 0.33
East_African 0.13
Southwest_Asian 1.53
East_Asian 0
Caucasus 9.04
Sub_Saharan 0.16

[Peterski]

^^^
I think these samples are from Berlin, their average is also very close to my old Brandenburg average from non-academic samples:

(it also makes sense, scientists usually collect samples in capital cities unless the study is specifically focused on regional variation)

[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
DE_Brandenburg
0.4862726
DE_Mecklenburg-Schwerin
0.5390686
DE_Holstein
0.5416023
DE_Sachsen-Leipzig
0.6368508
(...)

I would call them German Berlin, but maybe they are from several different regions. I could not find information on regional origin.

[Dunai]

Will the averages of these results be added to the Updated Vahaduo calculators, since they are a pretty decent sample size? It would be interesting to see how they compare to the current average.

[Pulkher]

Are these Germans the same as in Global25?

[Peterski]

Here is a bunch of academic Germans from another dataset:

Eurogenes K13:


GermanB1,37.01,33.79,12.08,6.27,5.98,0,1.4,0,0.34, 1.96,0.71,0,0.46
GermanB2,37.31,37.01,9.98,5.43,7.6,0,0,0.18,1.65,0 .04,0,0.5,0.29
GermanB3,41.39,29.1,14.89,2.27,10.36,0.76,0,0,0,1. 22,0,0,0
GermanB4,42.99,22.17,19.18,6.89,5.5,1.97,0,1.01,0, 0.13,0.15,0,0
GermanB5,44.75,24.41,14.56,2.63,10.03,2,0.31,0,1.1 6,0,0.15,0,0
GermanB6,46.63,21.05,16.97,4.42,4.28,1.74,4.29,0,0 .09,0,0,0,0.53
GermanB7,39.33,28,14.47,8.69,8.91,0,0,0,0,0.61,0,0 ,0
GermanB8,38.07,28.21,10.98,6.49,12.46,1.79,0.72,0, 0.74,0.55,0,0,0
GermanB9,50.67,25.28,12.17,6.96,2.13,0.48,0,0,0,1. 18,0.83,0,0.31
GermanB10,40.71,27.03,12.45,8.39,5.98,2.19,0,0,1.7 ,1.02,0.53,0,0
GermanB11,39.89,24.28,14.33,8.08,12.04,0.11,0,0,0, 0,0,1.27,0
GermanB12,39.67,22.03,14.28,10.82,9.73,0,1.13,0,0. 55,1.79,0,0,0
GermanB13,39.36,30.53,11.61,6.72,8.99,0.56,0,0.94, 0.23,0,1.06,0,0
GermanB14,37.35,23.02,17.99,7.1,11.38,1.21,1.1,0.3 ,0,0.46,0.11,0,0
GermanB15,38.73,25.89,16.45,6.98,9.57,0,0,0.97,0.2 3,0.3,0.46,0.41,0
GermanB16,42.41,21.4,16.62,5.39,9.01,0.88,1.45,0.0 4,0.76,0.57,0.82,0.66,0
GermanB17,45.67,25.55,17.09,4.87,3.53,1.65,0.67,0, 0,0,0.97,0,0
GermanB18,37.33,17.02,16.59,8.43,13.41,3.42,0,1.35 ,0,0,1.23,0.08,1.14
GermanB19,42.58,24.88,11.64,8.46,9.52,0,0,0.27,0,0 ,1.14,0,1.5
GermanB20,34.43,30.97,15.43,6.82,9.53,2.67,0,0,0.1 6,0,0,0,0
GermanB21,39.87,27.43,14.39,4.11,9.43,2.64,0,0.67, 1.1,0.36,0,0,0
GermanB22,28.51,43.27,10.62,8.67,6.25,0,0,1.06,0.5 7,1.03,0,0,0

Eurogenes K15:


GermanB1,27.75,20.37,17.66,15.8,8.56,5.33,1.19,0,1 .1,0,0,1.43,0.37,0,0.42
GermanB2,28.54,20.72,23,13.09,5.15,4.14,4.08,0,0,0 ,0.75,0,0,0.19,0.35
GermanB3,30.71,25.06,17.73,7.13,9.35,2.39,6.55,0.3 5,0,0,0,0.73,0,0,0
GermanB4,31.6,23.89,10.39,8.19,15.61,4.85,3.74,1.3 2,0,0.42,0,0,0,0,0
GermanB5,34.82,24.6,9.79,9.27,11.53,1.48,6.5,1.41, 0.08,0,0.54,0,0,0,0
GermanB6,34.28,25.73,7.32,9.15,14.08,3.14,0.56,1.7 2,3.67,0,0,0,0,0,0.35
GermanB7,23.69,25.59,12.76,15.88,10.95,6.94,4.2,0, 0,0,0,0,0,0,0
GermanB8,28.34,21.81,18.67,8.32,6.47,4.1,10.25,1.1 3,0.44,0,0.25,0.21,0,0,0
GermanB9,37.71,28.04,8.2,12.11,8.07,4.64,0,0,0,0,0 ,0.59,0.43,0,0.22
GermanB10,32.03,22.14,14.36,9.01,8.54,6.98,3.49,1. 42,0,0,1.02,0.68,0.33,0,0
GermanB11,23.34,28.17,13.43,8.79,9.26,7.19,8.89,0. 13,0,0,0,0,0,0.82,0.01
GermanB12,33.95,17.89,8.25,10.51,11.82,7.37,7.85,0 ,0.86,0,0,1.49,0,0,0
GermanB13,30.47,21.09,18.81,9.68,7.32,5.49,5.6,0.2 9,0,0.47,0,0,0.79,0,0
GermanB14,26.21,23.43,11.73,8.37,13.6,6.36,7.55,1. 58,1.16,0,0,0.02,0,0,0
GermanB15,31.08,20.16,12.99,10.29,12.7,4.84,6.82,0 ,0,0.75,0,0,0.19,0.2,0
GermanB16,28.2,25.39,13.14,6.01,12.12,7.16,3.76,0. 89,1.12,0.23,0.31,0.31,0.72,0.63,0
GermanB17,33.72,24.27,12.78,9.48,14.06,3.38,0,1.58 ,0.11,0,0,0,0.64,0,0
GermanB18,20.46,27.02,7.84,8.73,11.69,9.92,6.4,4.9 6,0,0.64,0,0,1.03,0.71,0.61
GermanB19,33.03,23.54,8.5,11.81,7.53,5.93,7.92,0,0 ,0,0,0,0.68,0,1.06
GermanB20,23.13,22.78,15.59,14.02,11.53,4.42,6.97, 1.56,0,0,0,0,0,0,0
GermanB21,29.21,22.78,13.32,11.33,11.24,3.41,5.65, 2.38,0,0.29,0.28,0.1,0,0,0
GermanB22,27.45,11.04,26.19,16.99,7.96,6.92,2.44,0 ,0,0.29,0,0.73,0,0,0

Dodecad K12b:


GermanB1,7.51,0.66,1.02,0.22,29.63,50.72,0,0.08,0, 0,10.16,0
GermanB2,6.42,0.91,1.53,0.34,28.85,52.25,0,0,0.96, 0,8.74,0
GermanB3,1.78,0.24,0,0,35.58,44.12,0,0,4.28,0,13.9 9,0
GermanB4,7.86,0,0.61,0.62,38.38,38.8,0,0,1.03,0,12 .7,0
GermanB5,5.38,0.59,0,0,36.81,40.09,0.03,0,4.02,0,1 3.09,0
GermanB6,10.02,0.3,0.48,0,38.9,39.08,1.43,0,2.69,0 ,6.66,0.43
GermanB7,6.26,0,0.09,0.1,32.48,44.74,0,0,2.37,0,13 .97,0
GermanB8,6.22,0.35,0.3,0,30.51,43.69,0.19,0.2,3.14 ,0,15.4,0
GermanB9,8.86,0,3.18,0,34.82,47.38,0,0,0,0.3,5.46, 0
GermanB10,9.2,1.4,1.31,0,35.46,42.04,0,0,0.29,0.36 ,9.94,0
GermanB11,5.5,0,2.67,0,34.89,40.17,0,0.01,0.59,0,1 6.16,0
GermanB12,9.87,2.1,0,0,32.78,37.82,0,0,0,0,17.43,0
GermanB13,6.73,0.47,0,0,31.75,46.38,0,0,2.67,0.2,1 1.79,0
GermanB14,7.92,0,4.23,0,33.07,39.08,0.1,0.17,2.08, 0,13.35,0
GermanB15,6.7,0,0,1.12,34.2,44.57,0,0,1.64,0.02,11 .39,0.38
GermanB16,6.42,0,0,0,35.17,39.62,0,0.36,3.3,1.56,1 3.56,0
GermanB17,5.3,0,0.82,0,36.81,44.53,1.4,0,3.42,0,7. 72,0
GermanB18,5.58,1.45,1.42,0.42,31.01,32.91,0.26,1.8 6,5.14,0,19.94,0
GermanB19,8.7,0,0,0,33.88,39.18,0.16,0,1.86,0,15.2 1,1.01
GermanB20,5.23,0,0.23,0,33.19,44.36,0,0.06,3.12,0, 13.81,0
GermanB21,6.01,0.91,0,0,33.02,39.87,0,0,4.91,0.38, 14.62,0.28
GermanB22,5.18,0.16,0.12,0,25.09,55.11,0,0,1.43,1. 17,11.74,0

[Leto]

Quite diverse and few of them are actually fully Western European. B22 is straight up Polish.

Distance to: GermanB22
3.68328658 South_Polish
3.80934378 Moldova_Ukrainian
4.45040448 Ukrainian
4.78612578 Ukrainian_Galicia
5.41616100 Polish
5.83704549 Ukrainian_Belgorod
6.01604521 Russian_Southwest
6.49085511 Sorb_Lusatia
7.07694849 Masurian
7.12845706 Russian_Smolensk

Distance to: GermanB21
5.22806848 Austrian
5.52239984 German
6.03743323 France_Alsace
6.80110285 Swiss_German
7.07946326 German_West
7.63472986 Swiss_German2
7.74607643 Pennsylvania_Dutch
8.01199101 Afrikaner
8.50505732 Dutch_South
8.59018626 France_north-east

Distance to: GermanB20
3.66002732 Austrian
4.30831754 Hungarian_Transdanubia+Budapest
4.93466311 Slovenian
5.04396669 Hungarian
5.89994915 Croat_North
6.08125809 Hungarian_Alföld
6.58574218 German_East
6.90835726 Hungarian_Northern
7.25963498 Croat_West
7.38843691 Hungarian_Transylvania

Distance to: GermanB19
4.62773163 German_West
5.16337099 German
6.49711474 Afrikaner
6.65640293 France_Alsace
7.22968187 Dutch_South
7.53268213 Swiss_German
7.56994055 Swiss_German2
7.88034263 France_north-east
7.91943180 Pennsylvania_Dutch
8.03216036 North_German

Distance to: GermanB18
5.89765208 Swiss_French
7.07215667 IT_Aosta_Valley
7.22303260 Swiss_German
7.51129150 Swiss_German2
8.25624612 France_Alsace
8.29986747 France_Provence
8.51932509 Pennsylvania_Dutch
8.63052721 IT_Friuli-VG
8.71025258 France_Central
9.29440154 France_north-east

Distance to: GermanB17
4.42558471 Dutch_South
5.05836930 France_north-west
5.71052537 English_Southeast
5.80480835 German_West
5.83283807 English_Midlands
5.99106001 Afrikaner
6.01125611 Dutch
6.10775736 English_Southwest
6.11285531 English
6.41843439 German

Distance to: GermanB16
1.62769776 Pennsylvania_Dutch
2.02706685 France_north-east
2.84144330 Swiss_German2
3.02329291 France_Alsace
3.55973314 Swiss_German
4.81502856 German_West
4.90492610 Afrikaner
5.30326315 France_Central
5.60327583 Dutch_South
6.57124037 Swiss_French

Distance to: GermanB15
4.15298688 France_Alsace
4.75851868 Swiss_German
5.25672902 Austrian
5.47216593 Swiss_German2
6.36911297 German
6.42183774 Pennsylvania_Dutch
6.69717851 Swiss_French
6.94822999 German_West
7.42084901 France_north-east
8.26407285 Afrikaner

Distance to: GermanB14
3.25110750 Swiss_French
3.53573189 Swiss_German
4.10770009 France_Alsace
4.39418935 Swiss_German2
5.78457431 Pennsylvania_Dutch
7.22530968 France_north-east
7.94867914 France_Central
8.30262007 Austrian
8.80666793 IT_Aosta_Valley
9.10675573 German_West

Distance to: GermanB13
4.24366587 Austrian
5.76308077 German
6.21011272 German_East
8.93790803 German_West
8.95575234 Hungarian_Transdanubia+Budapest
9.28955865 Czech
9.33117356 Slovenian
9.61289759 France_Alsace
9.81148816 Hungarian
9.96884647 North_German

Distance to: GermanB12
5.68550789 France_Alsace
5.84422792 Swiss_German
5.91096439 Swiss_German2
6.94975539 Swiss_French
7.01402880 German_West
7.08480769 Pennsylvania_Dutch
7.27496392 France_north-east
8.27048366 German
8.53052167 Afrikaner
9.39490820 Austrian

Distance to: GermanB11
4.68305456 France_Alsace
4.87661768 Swiss_German
5.32540139 Swiss_German2
6.44581259 Pennsylvania_Dutch
6.85013868 German_West
7.11761898 Swiss_French
7.40932521 German
7.41766136 France_north-east
7.61180005 Austrian
8.59731353 Afrikaner

Distance to: GermanB10
3.60581475 German
5.76895138 German_West
5.96939695 Austrian
7.51096532 Afrikaner
7.59061262 France_Alsace
7.60437374 North_German
7.77574434 Dutch_South
8.56986581 Swiss_German
8.91357953 German_East
9.06489382 Swiss_German2

Distance to: GermanB9
2.75303469 English_North
2.81032027 Scottish
2.83400776 Orcadian
2.94025509 Irish_Leinster
3.12254704 Welsh
3.23434692 Dutch_North
3.37952659 Irish
3.40521659 Dutch_Central
3.43250637 Irish_Connacht
3.47097969 English

Distance to: GermanB8
5.95780161 Austrian
8.01721897 German
8.93801432 France_Alsace
9.11907890 Hungarian_Transdanubia+Budapest
9.37435331 Swiss_German
9.65741166 Hungarian
9.69551443 German_East
9.82189900 German_West
10.13141155 Slovenian
10.22758036 Swiss_German2

Distance to: GermanB7
3.73188960 Austrian
5.03841245 German
6.60707954 France_Alsace
7.06371715 German_West
7.39907427 Swiss_German
7.97570060 Swiss_German2
8.18158909 German_East
8.85857776 Pennsylvania_Dutch
9.00662534 Afrikaner
9.42217597 France_north-east

Distance to: GermanB6
4.37523714 France_north-west
5.24438748 Dutch_South
5.50763107 Afrikaner
6.04019039 English_Southeast
6.12479387 English_Southwest
6.29495036 English_Midlands
6.50429089 English
6.62755611 France_north-east
7.08619785 Welsh
7.20413770 German_West

Distance to: GermanB5
5.35811534 Dutch_South
5.50556083 German_West
5.93991582 Afrikaner
5.98158006 Pennsylvania_Dutch
6.28548327 France_north-east
6.41920556 France_Alsace
6.95281957 German
7.01919511 Swiss_German2
7.16216448 Swiss_German
7.97806367 France_north-west

Distance to: GermanB4
4.19923803 France_north-east
5.29278755 Pennsylvania_Dutch
5.38638097 France_Alsace
5.54602560 Swiss_German2
5.98682721 Swiss_German
6.04217676 German_West
6.12814001 Dutch_South
6.45053486 France_Central
6.53777485 Afrikaner
7.14692941 France_north-west

Distance to: GermanB3
6.72136891 German
7.05732244 Austrian
8.08193665 France_Alsace
8.39750558 German_West
8.84092190 Swiss_German
9.15151354 Pennsylvania_Dutch
9.19401436 Afrikaner
9.19697776 German_East
9.33127001 Swiss_German2
9.34522873 Dutch_South

Distance to: GermanB2
4.96022177 Czech
5.35096253 German_East
6.41112315 Sorb_Lusatia
7.49604562 Slovak
8.42355626 Slovenian
8.46009456 Hungarian_Northern
8.70201701 South_Polish
9.01932370 Austrian
9.31128348 Hungarian_Transdanubia+Budapest
9.60226015 Croat_North

Distance to: GermanB1
2.43571345 German_East
5.27347134 Czech
5.87008518 Austrian
7.38820682 Slovenian
7.59179821 Slovak
7.76362673 Hungarian_Transdanubia+Budapest
8.32793492 Hungarian_Northern
8.67842728 Hungarian
8.73831219 Croat_North
8.80468625 German

[Peterski]

B22 is straight up Polish.

Could be a Sorb?

[Leto]

Could be a Sorb?
An immigrant is more likely if the samples are from a Großstadt ;)

[Peterski]

An immigrant is more likely if the samples are from a Großstadt ;)

Or someone with Masurian descent for example.

[Leto]

Or someone with Masurian descent for example.
They have to be pretty much unmixed then.