GEDMatch Prussian German GEDmatch results

[Tomenable]

Prussian German in GEDmatch (family tree and kit numbers are in links below):

Family tree: https://www.wikitree.com/genealogy/Steinbach-Family-Tree-105

GEDmatch kit: https://www.wikitree.com/wiki/Steinbach-105

Her ancestral surnames (16 great-great grandparents): Steinbach, Liebenau, Gnoss, Scheffler, Hass, Hasse, Voss, Zimmermann, Kopiske, Eichstädt, Feustel, Schmeisser, Hedke, Lück, Neumann, Schulz

Eurogenes K13 results:

Kit A682720

Admix Results (sorted):

# Population Percent
1 Baltic 40.43
2 North_Atlantic 37.01
3 West_Med 12.1
4 West_Asian 4.1
5 East_Med 3.24
6 Red_Sea 1.43
7 Northeast_African 0.63
8 Oceanian 0.6
9 South_Asian 0.43
10 Amerindian 0.03

Single Population Sharing:

# Population (source) Distance
1 South_Polish 6.86
2 Polish 7.61
3 Southwest_Finnish 8.08
4 East_German 8.42
5 Ukrainian 9.22
6 Ukrainian_Lviv 9.24
7 North_Swedish 9.5
8 Austrian 10.9
9 Hungarian 11.08
10 Russian_Smolensk 11.11
11 Belorussian 11.32
12 Croatian 11.49
13 Estonian_Polish 11.6
14 Estonian 11.88
15 Finnish 12.26
16 Southwest_Russian 12.63
17 Ukrainian_Belgorod 13.04
18 Swedish 13.46
19 Lithuanian 14.72
20 North_German 14.93

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 74% Polish + 26% Southwest_English @ 1.98
2 64.7% Estonian_Polish + 35.3% Southwest_English @ 2.04
3 72.1% Polish + 27.9% Orcadian @ 2.19
4 73.9% Polish + 26.1% West_Scottish @ 2.21
5 72.6% Polish + 27.4% Southeast_English @ 2.24
6 65.7% Russian_Smolensk + 34.3% Southwest_English @ 2.26
7 65.3% Belorussian + 34.7% Southwest_English @ 2.28
8 70.1% Polish + 29.9% North_Dutch @ 2.3
9 73.1% Polish + 26.9% Irish @ 2.31
10 55.4% Lithuanian + 44.6% South_Dutch @ 2.33
11 69.3% Polish + 30.7% Norwegian @ 2.45
12 69.9% Polish + 30.1% Danish @ 2.51
13 59% Lithuanian + 41% Southwest_English @ 2.55
14 64.8% Polish + 35.2% Swedish @ 2.56
15 63.5% Estonian_Polish + 36.5% Irish @ 2.56
16 63% Estonian_Polish + 37% Southeast_English @ 2.59
17 64% Russian_Smolensk + 36% Southeast_English @ 2.59
18 64.6% Estonian_Polish + 35.4% West_Scottish @ 2.61
19 57% Lithuanian + 43% Southeast_English @ 2.62
20 62.4% Estonian_Polish + 37.6% Orcadian @ 2.64

 

[Tomenable]

I checked the regions of birth of her 16 great-grandparents:

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)

 

[Fire Haired14]

Could German speaking Prussians be mostly Baltic and Slavic?

I'd like to see mainland Germans(inlcu. Austria, Switzerland) tested more. It's too big to be uniform. "West Germans" cluster close to East French, some Swiss cluster close to North Italy, Austria cluster close to Hungary. At the same time most "German" results are more or less the same, and Y DNA suggests shared heritage.

 

[Tomenable]

Could German speaking Prussians be mostly Baltic and Slavic?

Her GEDmatch results are very similar to mine. And they look mostly Slavic.

Only Scheffler and Gnoss (from East Prussia) could be Baltic-descended.

Here birthplaces of her 16 ancestors (2 were Non-Prussian East Germans):

 

[Promenade]

I ran her kit through Eurogenes K36 so I could use a PCA, she lands in the southern tip of Saxony-Anhalt bordering Thuringia

Image didnt show for some reason, lets see if it works now. If not I posted a link

https://www.darrinward.com/lat-long/?id=2719708

 

[Tomenable]

I'd like to see mainland Germans (incl. Austria, Switzerland) tested more.

This guy, Michael Eisenriegler, is mostly Austrian:

http://michael.eisenriegler.at/michael-eisenrieglers-personal-relatives-finder/

Info about his genealogical ancestry (family tree):

Like most people who are into family research I’m always interested in finding new relatives and to get in touch with distant cousins. To make this easier I had my DNA tested on 23andme and on Ancestry DNA and also uploaded it to GEDmatch (Kit # M368955) as well as FTDNA. My full family tree is available on MyHeritage, please ask for access.

My paternal haplogroup is J2b2* (23andme), J-M172 (FTDNA)
My maternal haplogroup is H1 (23andme)

Here’s a list of family names of the last seven generations of my ancestors and the places they lived. The list is by far not complete yet, there are still some brick walls to overcome:

Paternal Ancestors:

Greil (Greill, Greyl, Greilach) from Göriach, Dölsach and Stronach, Lienz District, Eastern Tyrol, Austria
Glantschnig from Dölsach
Weingartner from Dölsach
Teutsch (Deutsch) from Stronach
Mayr (Mayr in der Gassen) from Nußdorf (Unter-Nußdorf) and Stribach, Lienz District, Eastern Tyrol, Austria
Tembl from Nußdorf
Plautz from Iselsberg, Lienz District, Eastern Tyrol, Austria
Rainer from Iselsberg
Eder from Nußdorf (Ober-Nußdorf), Dölsach and Iselsberg
Haidenberger (Haidenperger) from Nußdorf-Debant
Amort (Amorth, Am Ort) from Lavant, Lienz District, Eastern Tyrol, Austria
Ulgener from Oberleibnig, Lienz District, Eastern Tyrol, Austria
Jelwitschger from Oberdrum, Lienz District, Eastern Tyrol, Austria
Winkler from Görtschach, Lienz District, Eastern Tyrol, Austria
Oberhofer (Hofer) from Gödnach, Lienz District, Eastern Tyrol, Austria
Inwinkl (Winkler) from Gödnach
Unterbrunner from Patriasdorf, Lienz District, Eastern Tyrol, Austria
Zabernig from Gaimberg, Lienz District, Eastern Tyrol, Austria
Klocker, most likely from somewhere in the Lienz area
Regulati, most likely from somewhere in the Lienz area
Gander, most likely from somewhere in the Lienz area
Mosser, most likely from somewhere in the Lienz area
Täbernig (Tabernig), most likely from somewhere in the Lienz area
Aichholzer, most likely from Dölsach
Reiter from Thurn, Eastern Tyrol, Austria
Zimmermann from Thurn and Lienz
Wohlgemuth (Wohlgemut) from Matrei in Osttirol (Windisch-Matrei), Eastern Tyrol, Austria
Koczian (Kotzian, Kocijan, Kocyan, Koczyan, Kocián with or without „von Kronenfeld“, „von Kronfeld“, “z Kronfeldu” or “z Kronenfeldu”) from Vysoké Mýto (Hohenmauth), Brno (Brünn), Brumov na Vláře (Brumov) and a number of other places in Bohemia and Moravia, Czech Republic
Kohlschreiber from Vysoké Mýto (Hohenmauth), Bohemia, Czech Republic
Popek from Vysoké Mýto (Hohenmauth)
Zeisel (Zeisl, Zeißl, Zeissl) from Brno (Brünn)
Krziwanek, probably also from Brno (Brünn)
Weidemann (Waidmann, Weydmann, Weideman) from Čermná na Moravě (Groß-Dittersdorf) and Velká Střelná (Groß Waltersdorf), Moravia, and Klosterneuburg, Lower Austria
Lausecker (Lauseker) from Velká Střelná (Groß Waltersdorf) and Kaplice (Kaplitz), Bohemia
Goth from somewhere in Bohemia and from Neugattersleben (Hohendorf), Sachsen-Anhalt, Germany
Hunziker (Honsinger, Hunsaker, Hunsecker, Hunsicker, Hunsinger, Hunsucker, Huntsinger, Huntzinger, Hunzeker, Hunziker, Unzicker) from Aargau, Switzerland and possibly also from Neugattersleben (Hohendorf)
Klimesch from Černé Údolí (Schwarzthal), Bohemia
Schicho from Pořešinec (Klein Poreschin), Bohemia
Raab (Rab), probably from somewhere in Bohemia

Maternal Ancestors:

Haszprunár (Hauszprunar, Hasprunar, Hausbrunner) from Gajary (Gajár, Gajar, Gayring, Gairing, Gajáre), Slovakia
Szpuszta (Spusta) from Gajary
Ambra from Veľké Leváre (Velké Leváry, Großschützen, Nagylévárd), Slovakia
Stora, possibly also from Veľké Leváre
Maruschka (Marusska, Maruška, Maruska) from Gajary
Vlk (Wlk) from Gajary
Lackner (Lakner) from Vienna, Austria and possibly also from Gajary
Břen (Bren) from the area around Oldřiš, Borová and Polička, Bohemia and from Vienna
Heltl from Betlém near Polička
Kroulik from Kobylí (Kobyly, Roßhöfen) near Polička
Jann from Lhotice (Lhotec), Bohemia
Wohanka, probably from somewhere in Bohemia
Vávra, probably from somewhere in Bohemia
Glatter from Velké Kunětice (Groß Kunzendorf), Moravian Silesia (České Slezsko, Mährisch Schlesien), Moravia
Losse from Rejvíz (Reihwiesen), Moravian Silesia
Merkel from Loučná nad Desnou (Wiesenberg), Moravian Silesia
Schatter from somewhere in Preußisch Schlesien (Prussian part of Silesia), today part of Poland
Teufert from Liptaň (Liebenthal), Moravia
Müller, probably from somewhere in Silesia
Spielvogel from Česká Ves (Böhmischdorf) and Rejvíz, Moravian Silesia
Überall (Überal) from Rejvíz, Česká Ves and possibly Jeseník (Frývaldov, Freiwaldau, Freiwalldau), Moravian Silesia
Ruisinger from Eybach, Württemberg (Baden-Württemberg), Germany and Vienna
Steinlehner, possibly from Württemberg
Kaiser from Schnittlingen, Württemberg
Geiger from Schnittlingen, Württemberg
Schuster from Kvilda (Außergefild), Bohemia
Mandl from Kvilda
Dik from Podlesí (Vogelsang), Bohemia
Anger from Úvaly (Garschönthal), Moravia and Hausbrunn, Lower Austria
Hammer from Hausbrunn
Schwingenschrot, possibly from Northern Lower Austria (Weinviertel) or Southern Moravia
Hartmann from Schwertberg, Upper Austria
Roiß from Schwertberg and Langenstein, Upper Austria
Maresch from Jaroměř (Jermer), Bohemia
Dörfler (Dörffler) from Kaplice (Kaplitz), Bohemia and Vienna
Benda from Střítež u Kaplice (Tritesch), Bohemia
Günner from Horšov (Horschau), Bohemia
Stöhr from Velký Kozi Hřbet (Großziegenruck), part of Rejštejn (Unterreichenstein) and Nuzarov (Nimvorgut), Bohemia
Klostermann from Malý Kozí Hřbet (Kleinziegenruck), part of Rejštejn (Unterreichenstein)
Harant from Žlibek (Rindlau), Bohemia
Metzling from Žlibek
Karlovsky (Karlovský) from Přední Lhota (Vorderlhota) near Poděbrady (Podiebrad), Bohemia and Inzersdorf, Lower Austria
Plaček (Placek) from Vestec (Westetz) near Poděbrady
Panek (Pannek) from Odřepsy (Odreps) near Poděbrady
Wlik from Poděbrady
Smrčina from Dehtín (Dechtin), part of Klatovy (Klattau) and Švihov (Svichov, Schwihau), Bohemia
Čepička from Klatovy

And his Eurogenes K13:

Kit M368955

Admix Results (sorted):

# Population Percent
1 North_Atlantic 33.74
2 Baltic 26.3
3 West_Med 17.49
4 East_Med 11.15
5 West_Asian 7.45
6 Red_Sea 1.82
7 Northeast_African 0.93
8 East_Asian 0.9
9 South_Asian 0.13
10 Oceanian 0.09

Single Population Sharing:

# Population (source) Distance
1 Austrian 5.85
2 Hungarian 6.88
3 Serbian 7.45
4 East_German 8.08
5 West_German 9.64
6 Romanian 10.81
7 South_Dutch 10.91
8 Croatian 10.93
9 Moldavian 11.03
10 French 11.47
11 Bulgarian 13.68
12 North_German 14.73
13 South_Polish 16.04
14 Southeast_English 16.37
15 Spanish_Galicia 16.39
16 Portuguese 16.41
17 North_Italian 16.59
18 Spanish_Cataluna 16.61
19 Ukrainian_Lviv 16.61
20 Danish 17.03

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 72% East_German + 28% Tuscan @ 1.85
2 76.5% East_German + 23.5% West_Sicilian @ 1.86
3 75.3% Hungarian + 24.7% Spanish_Andalucia @ 2
4 82.4% Austrian + 17.6% West_Sicilian @ 2.09
5 51% Moldavian + 49% French @ 2.13
6 78.8% Austrian + 21.2% Tuscan @ 2.15
7 73.4% Hungarian + 26.6% Spanish_Extremadura @ 2.16
8 74.9% Hungarian + 25.1% Spanish_Castilla_La_Mancha @ 2.17
9 79.7% East_German + 20.3% South_Italian @ 2.22
10 75.8% East_German + 24.2% Italian_Abruzzo @ 2.25
11 86.9% Austrian + 13.1% Algerian_Jewish @ 2.25
12 85% Austrian + 15% South_Italian @ 2.31
13 71.5% Hungarian + 28.5% Portuguese @ 2.32
14 83.8% Austrian + 16.2% East_Sicilian @ 2.32
15 71.5% Hungarian + 28.5% Spanish_Galicia @ 2.33
16 72.9% Hungarian + 27.1% Spanish_Castilla_Y_Leon @ 2.34
17 71.7% Serbian + 28.3% Southwest_English @ 2.35
18 79.1% Austrian + 20.9% Greek_Thessaly @ 2.37
19 78.2% East_German + 21.8% East_Sicilian @ 2.38
20 51.3% Croatian + 48.7% French @ 2.39

 

[Tomenable]

Another Austrian in DNA Land (he has ancestry from Carinthia and Styria):

I asked him whether he is ethnically Slovene (part of Carinthian Slovenes):

https://en.wikipedia.org/wiki/Carinthian_Slovenes

But he replied that he is German and not aware of any recent Slavic ancestry:

"No, I'm not a Carinthian Slovene. I sure turn out very Slavic in these tests and I very likely have a lot of (Alpine) Slavic ancestry further back. But I do not speak Slovene or any Slovene local Carinthian dialect nor do I have any known ancestors with Slovene surnames. Koroških just means Carinthian in slovene language, could be ethnic German or ethnic Slovene. And all my known ancestors are German-speakers from Carinthia and Styria."

I don't know his GEDmatch kit but I will ask him about his Eurogenes K13 results.

Here his puntDNAL K15 results (seems to be a "typical Austrian" based on this):

This calculator looks impressingly good!

# Population Percent
1 NE_European 55.91
2 Mediterranean 27.17
3 Caucasian 9.92
4 SW_Asian 4.9
5 S_Indian 0.8
6 Omo_River 0.43
7 Siberian 0.42
8 Oceanian 0.39
9 Amerindian 0.05
10 S_African 0.01

Single Population Sharing:

# Population (source) Distance
1 Austrian 1.05
2 Slovenian 2.3
3 Hungarian 2.58
4 Irish 3.47
5 Orcadian 3.55
6 Croatian 4.13
7 North_German 4.19
8 English 4.36
9 Scottish 4.94
10 Norwegian 5.33
11 Utahn_White 5.99
12 South_German 6.41
13 Swedish 6.85
14 Serbian 9.01
15 Polish 9.32
16 French 9.65
17 Bosnian 13.08
18 Macedonian 14.86
19 Mordovian 15.12
20 Belarusian 15.32

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 99.6% Austrian + 0.4% AriBlackSmith @ 0.97
2 99.6% Austrian + 0.4% Nganassan @ 0.97
3 99.6% Austrian + 0.4% Bedouin_B @ 0.99
4 99.6% Austrian + 0.4% Dolgan @ 1
5 99.5% Austrian + 0.5% Selkup @ 1.01
6 99% Austrian + 1% Basque @ 1.01
7 98.8% Austrian + 1.2% Spaniard @ 1.02
8 99.7% Austrian + 0.3% AriCultivator @ 1.02
9 99.5% Austrian + 0.5% Sardinian @ 1.02
10 99.8% Austrian + 0.2% Papuan @ 1.02
11 99.7% Austrian + 0.3% Saudi @ 1.03
12 99.2% Austrian + 0.8% Brazilian @ 1.03
13 98.9% Austrian + 1.1% Mordovian @ 1.03
14 99.7% Austrian + 0.3% Moroccan @ 1.04
15 99.9% Austrian + 0.1% Melanesian @ 1.04
16 99.7% Austrian + 0.3% Mozabite_Berber @ 1.04
17 99.6% Austrian + 0.4% Puerto_Rican @ 1.04
18 99.7% Austrian + 0.3% Colombian_B @ 1.04
19 95.9% Austrian + 4.1% Orcadian @ 1.04
20 96.7% Austrian + 3.3% English @ 1.04

Least-squares method.

Using 1 population approximation:
1 Austrian @ 1.834648
2 Slovenian @ 3.012423
3 Orcadian @ 3.551322
4 Irish @ 3.586220
5 Hungarian @ 3.795977
6 North_German @ 4.162593
7 English @ 4.431090
8 Scottish @ 4.825833
9 Norwegian @ 5.409451
10 Croatian @ 5.463852
11 Utahn_White @ 6.694263
12 Swedish @ 6.971464
13 South_German @ 7.336555
14 Polish @ 9.704070
15 Serbian @ 10.781292
16 French @ 10.989354
17 Bosnian @ 15.515591
18 Mordovian @ 16.320127
19 Belarusian @ 16.479029
20 Russian @ 16.577738

Using 2 populations approximation:
1 50% Austrian +50% Austrian @ 1.834648

Using 3 populations approximation:
1 50% Austrian +25% Austrian +25% Austrian @ 1.834648

Using 4 populations approximation:
1 Scottish + Austrian + Austrian + Austrian @ 1.641198
2 Orcadian + Austrian + Austrian + Austrian @ 1.679857
3 Lithuanian + Scottish + Austrian + Montenegrin @ 1.713121
4 English + Austrian + Austrian + Austrian @ 1.768368
5 North_German + Austrian + Austrian + Austrian @ 1.788517
6 Lithuanian + English + Austrian + Romanian @ 1.794720
7 Lithuanian + English + Austrian + Montenegrin @ 1.830812
8 Norwegian + Austrian + Austrian + Austrian @ 1.833493
9 Austrian + Austrian + Austrian + Austrian @ 1.834648
10 Lithuanian + Orcadian + Austrian + Montenegrin @ 1.836085
11 Lithuanian + Polish + Scottish + Albanian @ 1.859073
12 Lithuanian + Polish + English + Albanian @ 1.860137
13 Lithuanian + Polish + Scottish + Tuscan @ 1.863095
14 Lithuanian + Orcadian + Austrian + Romanian @ 1.864231
15 Lithuanian + Scottish + Austrian + Romanian @ 1.864766
16 Irish + Austrian + Austrian + Austrian @ 1.869636
17 Orcadian + Slovenian + Austrian + Austrian @ 1.878144
18 Lithuanian + Polish + Orcadian + Albanian @ 1.889300
19 Scottish + Slovenian + Austrian + Austrian @ 1.895475
20 Polish + Polish + Austrian + Romanian @ 1.925544

 

[Pax Augusta]

This guy, Michael Eisenriegler, is mostly Austrian:

His father is Austrian, but his mother is not fully Austrian, yes mostly Austrian.

MDLP K23b Oracle results:
Kit M368955

Admix Results (sorted):

# Population Percent
1 European_Hunters_Gatherers 34.23
2 Caucasian 30.42
3 European_Early_Farmers 22.91
4 Near_East 3.12
5 South_Central_Asian 2.89
6 North_African 2.5
7 Ancestral_Altaic 1.31
8 Australoid 0.87
9 Amerindian 0.8
10 East_African 0.48
11 South_Indian 0.42
12 Austronesian 0.03

Single Population Sharing:

# Population (source) Distance
1 Serb_Serbia ( ) 5.43
2 Slovenian ( ) 6.6
3 Hungarian ( ) 6.92
4 Italian_North ( ) 6.92
5 Hungarian_Budapest ( ) 7.37
6 Montenegrian ( ) 7.43
7 Austrian ( ) 7.45
8 Serb_BH ( ) 8.13
9 Croat ( ) 8.16
10 Bosnian ( ) 8.94
11 Czech ( ) 9.47
12 Bulgarian ( ) 9.65
13 Croat_BH ( ) 10.08
14 Macedonian ( ) 10.18
15 German-Volga ( ) 10.67
16 Greek_Northwest ( ) 11.13
17 Slovak ( ) 11.15
18 Sicilian_West ( ) 11.24
19 South_German ( ) 11.6
20 Kosovar ( ) 11.89

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 72.7% Bosnian ( ) + 27.3% Spanish_Baleares_IBS ( ) @ 1.27
2 81.2% Serb_BH ( ) + 18.8% Spanish_Andalucia_IBS ( ) @ 1.39
3 78.5% Serb_BH ( ) + 21.5% Spaniard ( ) @ 1.43
4 74.6% Serb_BH ( ) + 25.4% Spanish_Baleares_IBS ( ) @ 1.44
5 70.2% Croat_BH ( ) + 29.8% Spanish_Baleares_IBS ( ) @ 1.44
6 81.8% Serb_BH ( ) + 18.2% Spanish_Valencia_IBS ( ) @ 1.45
7 79.8% Serb_BH ( ) + 20.2% Spanish_Cataluna_IBS ( ) @ 1.46
8 65.1% Slovenian ( ) + 34.9% Italian_Tuscan ( ) @ 1.49
9 82.6% Serb_BH ( ) + 17.4% Spanish_Castilla_la_Mancha_IBS ( ) @ 1.51
10 80.3% Serb_BH ( ) + 19.7% Spanish_Murcia_IBS ( ) @ 1.51
11 53.8% Italian_Tuscan ( ) + 46.2% Sorb ( ) @ 1.52
12 83.2% Serb_BH ( ) + 16.8% Spanish_Cantabria_IBS ( ) @ 1.59
13 61.3% Italian_Piedmont ( ) + 38.7% Belarusian_South ( ) @ 1.59
14 51.8% Italian_Tuscan ( ) + 48.2% Kashub ( ) @ 1.59
15 74.6% Croat ( ) + 25.4% Spanish_Baleares_IBS ( ) @ 1.59
16 83.3% Serb_BH ( ) + 16.7% Spanish_Aragon_IBS ( ) @ 1.6
17 81.2% Croat ( ) + 18.8% Spanish_Andalucia_IBS ( ) @ 1.61
18 63.9% Hungarian_Budapest ( ) + 36.1% Italian_Piedmont ( ) @ 1.61
19 64% Hungarian ( ) + 36% Italian_Tuscan ( ) @ 1.63
20 76.1% Montenegrian ( ) + 23.9% French ( ) @ 1.64


MDLP K16 Modern Oracle results:
Kit M368955

Admix Results (sorted):

# Population Percent
1 Neolithic 29.05
2 Caucasian 27.26
3 NorthEastEuropean 24.18
4 Steppe 18.25
5 NearEast 1.05
6 NorthAfrican 0.21
7 Australian 0.01

Single Population Sharing:

# Population (source) Distance
1 Serbian 4.14
2 Bosnian 4.65
3 Serbian 4.73
4 Croat 4.85
5 Croat 4.88
6 Montenegrian 5.01
7 Romanian 5.54
8 Moldavian 5.77
9 French 6.01
10 German 6.12
11 Slovenian 6.12
12 French 6.23
13 Austrian 6.27
14 German 6.29
15 Macedonian 6.6
16 Romanian 6.95
17 German_Lipsian 7.16
18 Hungarian 7.25
19 Hungarian 7.32
20 Italian 7.44

MDLP World-22 Oracle results:

Kit M368955

Admix Results (sorted):

# Population Percent
1 North-East-European 45.35
2 Atlantic_Mediterranean_Neolithic 34.53
3 West-Asian 9.89
4 Near_East 6.77
5 North-European-Mesolithic 1.58
6 North-Amerind 0.68
7 Indo-Iranian 0.41
8 Samoedic 0.41
9 Austronesian 0.33
10 South-African 0.06

Single Population Sharing:

# Population (source) Distance
1 Serbian (derived) 2.9
2 Montenegrin (derived) 4.82
3 German-South (derived) 5.8
4 Macedonian (derived) 6.07
5 Austrian (derived) 6.44
6 German_V (derived) 6.69
7 Bosnian (derived) 6.79
8 Hungarian (derived) 7.34
9 Croatian (derived) 7.53
10 CEU_V (derived) 8.34
11 Bulgarian (derived) 8.59
12 CEU (derived) 9.24
13 Slovenian (derived) 9.54
14 British (derived) 9.63
15 Welsh (derived) 9.81
16 Swiss (derived) 9.89
17 Romania (derived) 10.87
18 German (derived) 11.02
19 Orcadian (derived) 11.2
20 French (derived) 11.33

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.5% Italian_North (derived) + 32.5% Polish_V (derived) @ 1.03
2 62.6% Croatian (derived) + 37.4% Provancestralal (derived) @ 1.07
3 82.9% Italian_North (derived) + 17.1% North-East-European (ancestral) @ 1.08
4 67.5% Italian_North (derived) + 32.5% Ukrainian-East (derived) @ 1.11
5 67.7% Italian_North (derived) + 32.3% Ukrainian (derived) @ 1.16
6 68.3% Italian_North (derived) + 31.7% Russian_South (derived) @ 1.17
7 61.7% Croatian (derived) + 38.3% Italian_North (derived) @ 1.17
8 61.8% Italian_North (derived) + 38.2% Ukrainian-West (derived) @ 1.18
9 56.9% Croatian (derived) + 43.1% Swiss (derived) @ 1.2
10 76.7% Italian_North (derived) + 23.3% Lithuanian (derived) @ 1.21
11 64.4% Italian_North (derived) + 35.6% Ukrainian-Center (derived) @ 1.22
12 73.7% Bosnian (derived) + 26.3% Spaniard (derived) @ 1.23
13 74% Italian_North (derived) + 26% Belarusian (derived) @ 1.27
14 72.5% Italian_North (derived) + 27.5% Russian (derived) @ 1.28
15 70.4% Italian_North (derived) + 29.6% Russian_Center (derived) @ 1.29
16 69.4% Italian_North (derived) + 30.6% Polish (derived) @ 1.3
17 66% Italian_North (derived) + 34% Belarusian_V (derived) @ 1.3
18 75.9% Italian_North (derived) + 24.1% Latvian (derived) @ 1.35
19 74.6% Croatian (derived) + 25.4% Corsican (derived) @ 1.37
20 55.5% Italian_North (derived) + 44.5% Slovakian (derived) @ 1.37

 

[Tomenable]

By comparison here is an Ashkenazi Jew from Prussia:

GEDmatch kit T405698

Eurogenes K13:

Kit T405698

Admix Results (sorted):

# Population Percent
1 East_Med 35.76
2 West_Med 21.4
3 North_Atlantic 14.34
4 West_Asian 11.26
5 Baltic 7.05
6 Red_Sea 4.91
7 Siberian 1.37
8 South_Asian 1.28
9 Sub-Saharan 1.05
10 East_Asian 0.9
11 Northeast_African 0.66

Single Population Sharing:

# Population (source) Distance
1 Ashkenazi 4.41
2 Algerian_Jewish 5.31
3 Italian_Jewish 5.59
4 South_Italian 5.65
5 East_Sicilian 6.47
6 Sephardic_Jewish 6.61
7 Central_Greek 7.91
8 West_Sicilian 8.72
9 Tunisian_Jewish 9.69
10 Libyan_Jewish 10.59
11 Italian_Abruzzo 10.73
12 Cyprian 12.91
13 Greek_Thessaly 13.01
14 Tuscan 15.36
15 Lebanese_Muslim 17.17
16 Syrian 18.38
17 Samaritan 18.97
18 Lebanese_Druze 20.03
19 Lebanese_Christian 20.18
20 Palestinian 20.28

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 56.4% Ashkenazi + 43.6% Algerian_Jewish @ 2.54
2 59.4% Ashkenazi + 40.6% Italian_Jewish @ 3
3 74.4% Algerian_Jewish + 25.6% Greek_Thessaly @ 3.02
4 83.2% Algerian_Jewish + 16.8% Bulgarian @ 3.05
5 84.7% Algerian_Jewish + 15.3% Romanian @ 3.14
6 63% Algerian_Jewish + 37% Central_Greek @ 3.16
7 73.6% Italian_Jewish + 26.4% Greek_Thessaly @ 3.3
8 86.9% Algerian_Jewish + 13.1% Serbian @ 3.3
9 61.3% Ashkenazi + 38.7% South_Italian @ 3.33
10 66.4% Ashkenazi + 33.6% Sephardic_Jewish @ 3.33
11 91.9% Algerian_Jewish + 8.1% Ukrainian_Belgorod @ 3.34
12 91.9% Algerian_Jewish + 8.1% Southwest_Russian @ 3.35
13 91.9% Italian_Jewish + 8.1% Erzya @ 3.35
14 89.1% Algerian_Jewish + 10.9% Moldavian @ 3.36
15 91.4% Algerian_Jewish + 8.6% South_Polish @ 3.36
16 92.5% Algerian_Jewish + 7.5% Erzya @ 3.36
17 91.5% Algerian_Jewish + 8.5% Ukrainian @ 3.38
18 92.4% Algerian_Jewish + 7.6% Kargopol_Russian @ 3.38
19 89.7% Algerian_Jewish + 10.3% Hungarian @ 3.38
20 91.2% Algerian_Jewish + 8.8% Tatar @ 3.39

 

[Tomenable]

Could German speaking Prussians be mostly Baltic and Slavic?

This German has more "Baltic" than "North Atlantic" in Eurogenes K13:

1 Baltic 40.43
2 North_Atlantic 37.01

More "Baltic" than "North Atlantic" indicates vastly Slavic-Baltic descent.

Even though only 1 of her 16 g-g-grandparents had a Slavic surname.

================

As Konrad Adenauer said:

"I still vividly remember the day one of my schoolmates told me: we Rhinelanders are the true Germans. The Prussians are Slavs, Obotrites, Wends, and the like who put together their state by theft and violence."

 

[Tomenable]

Another Austrian in DNA Land (he has ancestry from Carinthia and Styria):

I asked him whether he is ethnically Slovene (part of Carinthian Slovenes):

https://en.wikipedia.org/wiki/Carinthian_Slovenes

But he replied that he is German and not aware of any recent Slavic ancestry:

"No, I'm not a Carinthian Slovene. I sure turn out very Slavic in these tests and I very likely have a lot of (Alpine) Slavic ancestry further back. But I do not speak Slovene or any Slovene local Carinthian dialect nor do I have any known ancestors with Slovene surnames. Koroških just means Carinthian in slovene language, could be ethnic German or ethnic Slovene. And all my known ancestors are German-speakers from Carinthia and Styria."

I don't know his GEDmatch kit but I will ask him about his Eurogenes K13 results.

Here his puntDNAL K15 results (seems to be a "typical Austrian" based on this):

(...)

His Eurogenes K13 is in line with his DNA Land (49% North Slavic):

Admix Results (sorted):

# Population Percent
1 Baltic 34.42
2 North_Atlantic 34.35
3 West_Med 13.15
4 East_Med 10.84
5 West_Asian 3.82
6 South_Asian 1.43
7 Red_Sea 1.4
8 Siberian 0.39
9 Oceanian 0.11
10 Northeast_African 0.1

Single Population Sharing:

# Population (source) Distance
1 Hungarian 4.51
2 East_German 5.57
3 Austrian 6.17
4 Croatian 7.58
5 South_Polish 9.05
6 Moldavian 10.31
7 Ukrainian_Lviv 10.7
8 Ukrainian 11.25
9 Serbian 11.27
10 Polish 12.4
11 West_German 13.61
12 North_Swedish 13.62
13 Southwest_Finnish 14.2
14 North_German 14.48
15 South_Dutch 14.63
16 Southwest_Russian 15.11
17 Russian_Smolensk 15.46
18 Swedish 15.57
19 Romanian 15.67
20 Belorussian 15.69

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 62.6% Belorussian + 37.4% Spanish_Murcia @ 2.89
2 60.4% Belorussian + 39.6% Spanish_Cataluna @ 2.9
3 62.4% Belorussian + 37.6% Spanish_Valencia @ 2.9
4 60.5% Belorussian + 39.5% Portuguese @ 3.14
5 53.1% Belorussian + 46.9% French @ 3.24
6 61.5% Belorussian + 38.5% Spanish_Castilla_Y_Leon @ 3.32
7 54.1% Southwest_Russian + 45.9% French @ 3.39
8 62.5% Belorussian + 37.5% Spanish_Extremadura @ 3.4
9 53.1% Estonian_Polish + 46.9% French @ 3.42
10 64.3% Belorussian + 35.7% Spanish_Andalucia @ 3.42
11 75.5% South_Polish + 24.5% Spanish_Murcia @ 3.46
12 75.3% South_Polish + 24.7% Spanish_Valencia @ 3.5
13 73.8% South_Polish + 26.2% Portuguese @ 3.54
14 67.5% South_Polish + 32.5% French @ 3.54
15 63.6% Belorussian + 36.4% Spanish_Castilla_La_Mancha @ 3.57
16 73.8% South_Polish + 26.2% Spanish_Cataluna @ 3.57
17 74.6% South_Polish + 25.4% Spanish_Castilla_Y_Leon @ 3.58
18 60.5% Estonian_Polish + 39.5% Spanish_Cataluna @ 3.64
19 57.5% Estonian + 42.5% North_Italian @ 3.65
20 62.8% Estonian_Polish + 37.2% Spanish_Murcia @ 3.75

 

[Fire Haired14]

I suspect my Prussian ancestor who gave me U5b2a2b1 was genetically like that German Prussian. U5b2a2 is most typical of Poles. I also suspect her Swiss husband was North Italian-like. They were an ethnically German couple but they may have come from two opposite genetic spectrums of mainland Germans, one Polish-like and one Italian-like.

 

[srdceleva]

Another Austrian in DNA Land (he has ancestry from Carinthia and Styria):

I asked him whether he is ethnically Slovene (part of Carinthian Slovenes):

https://en.wikipedia.org/wiki/Carinthian_Slovenes

But he replied that he is German and not aware of any recent Slavic ancestry:

"No, I'm not a Carinthian Slovene. I sure turn out very Slavic in these tests and I very likely have a lot of (Alpine) Slavic ancestry further back. But I do not speak Slovene or any Slovene local Carinthian dialect nor do I have any known ancestors with Slovene surnames. Koroških just means Carinthian in slovene language, could be ethnic German or ethnic Slovene. And all my known ancestors are German-speakers from Carinthia and Styria."

I don't know his GEDmatch kit but I will ask him about his Eurogenes K13 results.

Here his puntDNAL K15 results (seems to be a "typical Austrian" based on this):

This calculator looks impressingly good!

# Population Percent
1 NE_European 55.91
2 Mediterranean 27.17
3 Caucasian 9.92
4 SW_Asian 4.9
5 S_Indian 0.8
6 Omo_River 0.43
7 Siberian 0.42
8 Oceanian 0.39
9 Amerindian 0.05
10 S_African 0.01

Single Population Sharing:

# Population (source) Distance
1 Austrian 1.05
2 Slovenian 2.3
3 Hungarian 2.58
4 Irish 3.47
5 Orcadian 3.55
6 Croatian 4.13
7 North_German 4.19
8 English 4.36
9 Scottish 4.94
10 Norwegian 5.33
11 Utahn_White 5.99
12 South_German 6.41
13 Swedish 6.85
14 Serbian 9.01
15 Polish 9.32
16 French 9.65
17 Bosnian 13.08
18 Macedonian 14.86
19 Mordovian 15.12
20 Belarusian 15.32

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 99.6% Austrian + 0.4% AriBlackSmith @ 0.97
2 99.6% Austrian + 0.4% Nganassan @ 0.97
3 99.6% Austrian + 0.4% Bedouin_B @ 0.99
4 99.6% Austrian + 0.4% Dolgan @ 1
5 99.5% Austrian + 0.5% Selkup @ 1.01
6 99% Austrian + 1% Basque @ 1.01
7 98.8% Austrian + 1.2% Spaniard @ 1.02
8 99.7% Austrian + 0.3% AriCultivator @ 1.02
9 99.5% Austrian + 0.5% Sardinian @ 1.02
10 99.8% Austrian + 0.2% Papuan @ 1.02
11 99.7% Austrian + 0.3% Saudi @ 1.03
12 99.2% Austrian + 0.8% Brazilian @ 1.03
13 98.9% Austrian + 1.1% Mordovian @ 1.03
14 99.7% Austrian + 0.3% Moroccan @ 1.04
15 99.9% Austrian + 0.1% Melanesian @ 1.04
16 99.7% Austrian + 0.3% Mozabite_Berber @ 1.04
17 99.6% Austrian + 0.4% Puerto_Rican @ 1.04
18 99.7% Austrian + 0.3% Colombian_B @ 1.04
19 95.9% Austrian + 4.1% Orcadian @ 1.04
20 96.7% Austrian + 3.3% English @ 1.04

Least-squares method.

Using 1 population approximation:
1 Austrian @ 1.834648
2 Slovenian @ 3.012423
3 Orcadian @ 3.551322
4 Irish @ 3.586220
5 Hungarian @ 3.795977
6 North_German @ 4.162593
7 English @ 4.431090
8 Scottish @ 4.825833
9 Norwegian @ 5.409451
10 Croatian @ 5.463852
11 Utahn_White @ 6.694263
12 Swedish @ 6.971464
13 South_German @ 7.336555
14 Polish @ 9.704070
15 Serbian @ 10.781292
16 French @ 10.989354
17 Bosnian @ 15.515591
18 Mordovian @ 16.320127
19 Belarusian @ 16.479029
20 Russian @ 16.577738

Using 2 populations approximation:
1 50% Austrian +50% Austrian @ 1.834648

Using 3 populations approximation:
1 50% Austrian +25% Austrian +25% Austrian @ 1.834648

Using 4 populations approximation:
1 Scottish + Austrian + Austrian + Austrian @ 1.641198
2 Orcadian + Austrian + Austrian + Austrian @ 1.679857
3 Lithuanian + Scottish + Austrian + Montenegrin @ 1.713121
4 English + Austrian + Austrian + Austrian @ 1.768368
5 North_German + Austrian + Austrian + Austrian @ 1.788517
6 Lithuanian + English + Austrian + Romanian @ 1.794720
7 Lithuanian + English + Austrian + Montenegrin @ 1.830812
8 Norwegian + Austrian + Austrian + Austrian @ 1.833493
9 Austrian + Austrian + Austrian + Austrian @ 1.834648
10 Lithuanian + Orcadian + Austrian + Montenegrin @ 1.836085
11 Lithuanian + Polish + Scottish + Albanian @ 1.859073
12 Lithuanian + Polish + English + Albanian @ 1.860137
13 Lithuanian + Polish + Scottish + Tuscan @ 1.863095
14 Lithuanian + Orcadian + Austrian + Romanian @ 1.864231
15 Lithuanian + Scottish + Austrian + Romanian @ 1.864766
16 Irish + Austrian + Austrian + Austrian @ 1.869636
17 Orcadian + Slovenian + Austrian + Austrian @ 1.878144
18 Lithuanian + Polish + Orcadian + Albanian @ 1.889300
19 Scottish + Slovenian + Austrian + Austrian @ 1.895475
20 Polish + Polish + Austrian + Romanian @ 1.925544

No surprise, steirmark and Corinthia are the most Slavic regions in Austria. Steirmark is around 40℅ R1a and everyone I've met from Corinthia has known Slovene Ancestry so I'm surprised he doesn't , but I'm sure it's there. I'd be curious to see some more gedmatch results like his dodecad and some eurogenes results. DNA land doesn't seem to be too accurate. My family all pops up with different populations in us, so they need to do some work.

The women's results are interesting , everyone with German background from Poland seems to be ethnically Slavic and not German. I shared a women who's two grandparents were ethnic Germans from South East Poland and other two were polish and Ruthenian. She scored 27 percent Eastern euro and 42 percent western euro on dedecad v3. Clearly not German.

If you can find pure east Germans it would be interesting to see how they compare to , Eastern European Germans.

 

[Tomenable]

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.eupedia.com/forum/thread...Dmatch-results?p=503210&viewfull=1#post503210

10/16 of her g-g-grandparents are from the borderlands of West Prussia, Pommern & Posen:

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.