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Thread: Prussian German GEDmatch results

  1. #21
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    Quote Originally Posted by Dick View Post
    Or the fact that eastern Germanics have been mixing with Slavics for centuries.



    Thanks to Hitler's insanity. Germanic Austrians and Slavs were mixing during the A-H Empire.
    Among non slavs, All Germans are the most Slavic mixed people after Hungarians and balts or Estonians

    Even in western Germany there were Slavic populations due to trades

  2. #22
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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:

    Quote Originally Posted by Litvin View Post
    I checked the regions of birth of her 16 great-grandparents (surnames):

    West Prussia - 5 (Steinbach, Liebenau, Kopiske, Hedke, Lück)
    Pomerania - 4 (Zimmermann, Voss, Hasse, Hass)
    Provinz Posen - 3 (Eichstädt, Neumann, Schulz)
    East Prussia - 2 (Scheffler, Gnoss)
    Sachsen - 1 (Schmeisser)
    Thüringen - 1 (Feustel)


    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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    Quote Originally Posted by brennus dux gallorum View Post
    Among non slavs, All Germans are the most Slavic mixed people after Hungarians and balts or Estonians

    Even in western Germany there were Slavic populations due to trades
    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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