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I use "Prussian German" as "German from areas to the East of the Oder-Neisse":
http://www.zum.de/whkmla/histatlas/g...ia17951803.gif
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Below is a comparison of Prussian German and Prussian Polish (my) results in Eurogenes K36.
But the Prussian German has geographically more diverse and more northern origins than me.
This map shows areas where 16 great-great-grandparents of the Prussian German were born:
http://www.theapricity.com/forum/sho...=1#post4280135
10/16 of her g-g-grandparents are from the borderlands of West Prussia, Pommern & Posen:
And this map shows the area where all my (Prussian Polish) 8 great-grandparents were born:
Our Eurogenes K36 results (including my FTDNA format & my DNA.Land file in 23andMe format):
Population Prussian German My FTDNA format My DNA.Land (23andMe format) East-Central Euro 18.94 22.87 22.86 Eastern Euro 15.23 13.99 13.9 North Sea 15.22 11.81 11.74 Central Euro 11.01 9.8 9.72 North Atlantic 10.03 8.14 8.22 Fennoscandian 6.02 9.32 9.32 French 4.65 4.93 5 East Balkan 3.69 8.54 8.5 Italian 2.5 5.96 5.85 Basque 3.11 0.91 0.98 West Med 0.93 1.2 1.14 Iberian 8.38 0.39 0.5 North Caucasian 0 2.15 2.27 Volga-Ural 0.29 0 0
Prussian German Eurogenes K36 Oracle results:
(using a spreadsheet with 224 ref. populations)
1) Least-squares method:
Using 1 population approximation:
1 PL_north @ 6,998097
2 Czechs_Moravians @ 9,303132
3 Ukrainian_West @ 9,549743
4 PL_SW_Malopolska @ 9,882557
5 PL_Upper_Silesia @ 10,022065
6 PL_Kashubians @ 10,490373
7 PL_Wielkopolska @ 10,555562
8 PL_South_Poland @ 10,655688
9 Slovak @ 10,796768
10 PL_SE_Carpathia @ 11,426138
11 PL_average @ 12,060201
12 PL_Mazovia @ 12,791173
13 Hungary @ 13,683147
14 Russian_Don_Cossack @ 13,777191
15 Hungarian_Slovenian @ 15,052587
16 Ukrainian_East @ 15,134748
17 Slovenian @ 15,274207
18 Belarusian_Polesye @ 15,282905
19 Russian_Voronezh @ 15,435219
20 Russian_Oryol @ 15,558071
224 iterations.
2) Gaussian method:
Using 1 population approximation:
1 PL_north @ 2,720424
2 PL_Kashubians @ 3,108343
3 PL_Upper_Silesia @ 3,411766
4 PL_Mazovia @ 3,456267
5 PL_Wielkopolska @ 3,624649
6 PL_average @ 3,769046
7 PL_SW_Malopolska @ 3,84657
8 Czechs_Moravians @ 3,92787
9 PL_SE_Carpathia @ 3,962726
10 PL_South_Poland @ 4,017371
11 Ukrainian_West @ 4,101312
12 Belarusian_Polesye @ 4,202611
13 Russian_Smolensk @ 4,381332
14 Slovak @ 4,637832
15 PL_Podlasie_East_Mazovia @ 4,666336
16 Ukrainian_East @ 4,752006
17 Austria @ 4,765226
18 Sweden @ 4,77791
19 Belarusian_East @ 4,778994
20 Sweden_north @ 4,805929
224 iterations.
My Eurogenes K36 Oracle results (23andMe format):
1) Least-squares method:
Using 1 population approximation:
1 PL_Wielkopolska @ 5,803656
2 PL_SW_Malopolska @ 6,272252
3 PL_average @ 7,687345
4 PL_Upper_Silesia @ 7,962513
5 PL_Mazovia @ 8,132656
6 PL_north @ 8,16761
7 PL_South_Poland @ 8,199323
8 PL_Kashubians @ 8,469839
9 Slovak @ 9,03938
10 Ukrainian_West @ 9,091402
11 Russian_Don_Cossack @ 9,939195
12 Belarusian_Polesye @ 10,000189
13 Czechs_Moravians @ 10,015559
14 Russian_Oryol @ 10,109698
15 Russian_Voronezh @ 10,271533
16 Ukrainian_East @ 10,515674
17 PL_SE_Carpathia @ 10,587364
18 PL_Podlasie_East_Mazovia @ 10,612256
19 Russian_Kursk @ 11,061473
20 Belarusian_East @ 11,252288
224 iterations.
2) Gaussian method:
Using 1 population approximation:
1 PL_Wielkopolska @ 2,860252
2 PL_Upper_Silesia @ 3,071093
3 PL_Mazovia @ 3,282759
4 PL_SW_Malopolska @ 3,313346
5 PL_average @ 3,382036
6 PL_South_Poland @ 3,559604
7 PL_north @ 3,693244
8 PL_SE_Carpathia @ 3,853811
9 PL_Kashubians @ 3,859046
10 Czechs_Moravians @ 3,870192
11 Belarusian_Polesye @ 3,870832
12 Belarusian_East @ 4,004563
13 Russian_Smolensk @ 4,007749
14 Slovak @ 4,157081
15 Russian_Kursk @ 4,163922
16 Ukrainian_East @ 4,281441
17 Russian_Voronezh @ 4,385035
18 Russian_Oryol @ 4,388567
19 Russian_Bryansk @ 4,477297
20 Slovenian @ 4,633957
224 iterations.
My Eurogenes K36 Oracle results (FTDNA format):
1) Least-squares method:
Using 1 population approximation:
1 PL_Wielkopolska @ 5,887738
2 PL_SW_Malopolska @ 6,329235
3 PL_average @ 7,749279
4 PL_Upper_Silesia @ 8,048753
5 PL_Mazovia @ 8,190306
6 PL_north @ 8,255324
7 PL_South_Poland @ 8,287037
8 PL_Kashubians @ 8,555187
9 Slovak @ 9,142783
10 Ukrainian_West @ 9,217123
11 Russian_Don_Cossack @ 10,036245
12 Belarusian_Polesye @ 10,047153
13 Czechs_Moravians @ 10,13613
14 Russian_Oryol @ 10,167829
15 Russian_Voronezh @ 10,312009
16 Ukrainian_East @ 10,54968
17 PL_Podlasie_East_Mazovia @ 10,644077
18 PL_SE_Carpathia @ 10,658319
19 Russian_Kursk @ 11,102554
20 Belarusian_East @ 11,297743
224 iterations.
2) Gaussian method:
Using 1 population approximation:
1 PL_Wielkopolska @ 2,87988
2 PL_Upper_Silesia @ 3,097246
3 PL_Mazovia @ 3,310414
4 PL_SW_Malopolska @ 3,339396
5 PL_average @ 3,415456
6 PL_South_Poland @ 3,584108
7 PL_north @ 3,721655
8 PL_SE_Carpathia @ 3,855068
9 Belarusian_Polesye @ 3,887001
10 Czechs_Moravians @ 3,893463
11 PL_Kashubians @ 3,901169
12 Russian_Smolensk @ 4,043849
13 Belarusian_East @ 4,046699
14 Slovak @ 4,167403
15 Russian_Kursk @ 4,249977
16 Ukrainian_East @ 4,345288
17 Russian_Voronezh @ 4,420914
18 Russian_Oryol @ 4,485589
19 Russian_Bryansk @ 4,573208
20 Slovenian @ 4,642241
224 iterations.
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So Eastern (pre-war) Germans were really a mix of German, Slavic, and Baltic. Interesting
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Pennsylvania Dutch have essentially no Slavic, which makes sense, as they left Western Germany before the large Slavic migration into Western Germany. The problem with using them as a reference population for ancestral West Germans is that they've mixed some with English and Scottish people in America.
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