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GEDMatch Question about my wife's Ancestry and Gedmatch results

matadworf

matadworf

Regular Member
Messages
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Points
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Location
Florida
Ethnic group
Greek Messinia
My wife was told by her father that he was 100% percent German. Her mother is 1/2 Polish, 1/2 French. Her Ancestry results indicate a high percentage of Irish. She's questioning whether her father is her biological parent. Any insights on these results?

Europe
98%


Ireland
46%



Europe East
22%



Great Britain
13%



Europe West
10%


And her Gedmatch EU V2 K15 results:

Population
North_Sea

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]

[TD="align: right"]34.91[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Atlantic[/TD]
[TD="width: 50, align: right"]23.74[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Baltic[/TD]
[TD="width: 50, align: right"]15.41[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Eastern_Euro[/TD]
[TD="width: 50, align: right"]11.47[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]West_Med[/TD]
[TD="width: 50, align: right"]10.15[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]South_Asian[/TD]
[TD="width: 50, align: right"]1.11[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]West_Asian[/TD]
[TD="width: 50, align: right"]1.07[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]Sub-Saharan[/TD]
[TD="width: 50, align: right"]0.83[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]Siberian[/TD]
[TD="width: 50, align: right"]0.72[/TD]

[TD="width: 30, align: center"]10[/TD]
[TD="width: 120"]Oceanian[/TD]
[TD="width: 50, align: right"]0.53[/TD]

[TD="width: 30, align: center"]11[/TD]
[TD="width: 120"]Amerindian[/TD]
[TD="width: 50, align: right"]0.05[/TD]

Single Population Sharing:

Population (source)
Norwegian

[TD="align: center"] # [/TD]

[TD="align: right"] Distance [/TD]

[TD="align: center"]1[/TD]

[TD="align: right"]5.95[/TD]

[TD="width: 40, align: center"]2[/TD]
[TD="width: 220"]Swedish[/TD]
[TD="width: 50, align: right"]6.22[/TD]

[TD="width: 40, align: center"]3[/TD]
[TD="width: 220"]North_Dutch[/TD]
[TD="width: 50, align: right"]6.55[/TD]

[TD="width: 40, align: center"]4[/TD]
[TD="width: 220"]Danish[/TD]
[TD="width: 50, align: right"]6.93[/TD]

[TD="width: 40, align: center"]5[/TD]
[TD="width: 220"]North_German[/TD]
[TD="width: 50, align: right"]7.05[/TD]

[TD="width: 40, align: center"]6[/TD]
[TD="width: 220"]North_Swedish[/TD]
[TD="width: 50, align: right"]7.37[/TD]

[TD="width: 40, align: center"]7[/TD]
[TD="width: 220"]Southwest_English[/TD]
[TD="width: 50, align: right"]7.97[/TD]

[TD="width: 40, align: center"]8[/TD]
[TD="width: 220"]West_Norwegian[/TD]
[TD="width: 50, align: right"]8.16[/TD]

[TD="width: 40, align: center"]9[/TD]
[TD="width: 220"]Southeast_English[/TD]
[TD="width: 50, align: right"]8.35[/TD]

[TD="width: 40, align: center"]10[/TD]
[TD="width: 220"]West_German[/TD]
[TD="width: 50, align: right"]8.57[/TD]

[TD="width: 40, align: center"]11[/TD]
[TD="width: 220"]Irish[/TD]
[TD="width: 50, align: right"]8.62[/TD]

[TD="width: 40, align: center"]12[/TD]
[TD="width: 220"]South_Dutch[/TD]
[TD="width: 50, align: right"]8.78[/TD]

[TD="width: 40, align: center"]13[/TD]
[TD="width: 220"]West_Scottish[/TD]
[TD="width: 50, align: right"]8.81[/TD]

[TD="width: 40, align: center"]14[/TD]
[TD="width: 220"]East_German[/TD]
[TD="width: 50, align: right"]9.01[/TD]

[TD="width: 40, align: center"]15[/TD]
[TD="width: 220"]Orcadian[/TD]
[TD="width: 50, align: right"]9.59[/TD]

[TD="width: 40, align: center"]16[/TD]
[TD="width: 220"]Southwest_Finnish[/TD]
[TD="width: 50, align: right"]11.17[/TD]

[TD="width: 40, align: center"]17[/TD]
[TD="width: 220"]French[/TD]
[TD="width: 50, align: right"]13[/TD]

[TD="width: 40, align: center"]18[/TD]
[TD="width: 220"]Hungarian[/TD]
[TD="width: 50, align: right"]13.74[/TD]

[TD="width: 40, align: center"]19[/TD]
[TD="width: 220"]Finnish[/TD]
[TD="width: 50, align: right"]14.07[/TD]

[TD="width: 40, align: center"]20[/TD]
[TD="width: 220"]Austrian[/TD]
[TD="width: 50, align: right"]14.76[/TD]

Mixed Mode Population Sharing:

+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@

[TD="align: center"] # [/TD]

[TD="colspan: 3"] Primary Population (source) [/TD]
[TD="colspan: 3"] Secondary Population (source) [/TD]
[TD="align: right"] Distance [/TD]

[TD="align: center"]1[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]81.2%[/TD]
[TD="width: 200"]Swedish[/TD]

[TD="width: 30, align: right"]18.8%[/TD]
[TD="width: 200"]Southwest_French[/TD]

[TD="width: 50, align: right"]3.37[/TD]

[TD="width: 20, align: center"]2[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]73%[/TD]
[TD="width: 200"]Southwest_English[/TD]

[TD="width: 30, align: right"]27%[/TD]
[TD="width: 200"]Estonian[/TD]

[TD="width: 50, align: right"]3.52[/TD]

[TD="width: 20, align: center"]3[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]63.5%[/TD]
[TD="width: 200"]Norwegian[/TD]

[TD="width: 30, align: right"]36.5%[/TD]
[TD="width: 200"]East_German[/TD]

[TD="width: 50, align: right"]3.56[/TD]

[TD="width: 20, align: center"]4[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]90.3%[/TD]
[TD="width: 200"]Swedish[/TD]

[TD="width: 30, align: right"]9.7%[/TD]
[TD="width: 200"]Sardinian[/TD]

[TD="width: 50, align: right"]3.61[/TD]

[TD="width: 20, align: center"]5[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]81.6%[/TD]
[TD="width: 200"]Swedish[/TD]

[TD="width: 30, align: right"]18.4%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 50, align: right"]3.61[/TD]

[TD="width: 20, align: center"]6[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]53%[/TD]
[TD="width: 200"]West_Norwegian[/TD]

[TD="width: 30, align: right"]47%[/TD]
[TD="width: 200"]East_German[/TD]

[TD="width: 50, align: right"]3.65[/TD]

[TD="width: 20, align: center"]7[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]67.3%[/TD]
[TD="width: 200"]Orcadian[/TD]

[TD="width: 30, align: right"]32.7%[/TD]
[TD="width: 200"]Ukrainian[/TD]

[TD="width: 50, align: right"]3.74[/TD]

[TD="width: 20, align: center"]8[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]65.9%[/TD]
[TD="width: 200"]Southwest_English[/TD]

[TD="width: 30, align: right"]34.1%[/TD]
[TD="width: 200"]Finnish[/TD]

[TD="width: 50, align: right"]3.8[/TD]

[TD="width: 20, align: center"]9[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]86%[/TD]
[TD="width: 200"]Swedish[/TD]

[TD="width: 30, align: right"]14%[/TD]
[TD="width: 200"]French_Basque[/TD]

[TD="width: 50, align: right"]3.88[/TD]

[TD="width: 20, align: center"]10[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]78.2%[/TD]
[TD="width: 200"]North_Swedish[/TD]

[TD="width: 30, align: right"]21.8%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 50, align: right"]3.95[/TD]

[TD="width: 20, align: center"]11[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]83.5%[/TD]
[TD="width: 200"]Norwegian[/TD]

[TD="width: 30, align: right"]16.5%[/TD]
[TD="width: 200"]Southwest_French[/TD]

[TD="width: 50, align: right"]3.95[/TD]

[TD="width: 20, align: center"]12[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]83.9%[/TD]
[TD="width: 200"]Swedish[/TD]

[TD="width: 30, align: right"]16.1%[/TD]
[TD="width: 200"]Spanish_Aragon[/TD]

[TD="width: 50, align: right"]3.96[/TD]

[TD="width: 20, align: center"]13[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]78.4%[/TD]
[TD="width: 200"]North_Swedish[/TD]

[TD="width: 30, align: right"]21.6%[/TD]
[TD="width: 200"]Southwest_French[/TD]

[TD="width: 50, align: right"]3.98[/TD]

[TD="width: 20, align: center"]14[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]67.5%[/TD]
[TD="width: 200"]Orcadian[/TD]

[TD="width: 30, align: right"]32.5%[/TD]
[TD="width: 200"]Ukrainian_Lviv[/TD]

[TD="width: 50, align: right"]4.05[/TD]

[TD="width: 20, align: center"]15[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]83.6%[/TD]
[TD="width: 200"]Swedish[/TD]

[TD="width: 30, align: right"]16.4%[/TD]
[TD="width: 200"]Spanish_Valencia[/TD]

[TD="width: 50, align: right"]4.06[/TD]

[TD="width: 20, align: center"]16[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]84.6%[/TD]
[TD="width: 200"]Swedish[/TD]

[TD="width: 30, align: right"]15.4%[/TD]
[TD="width: 200"]Spanish_Andalucia[/TD]

[TD="width: 50, align: right"]4.07[/TD]

[TD="width: 20, align: center"]17[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]83.9%[/TD]
[TD="width: 200"]Swedish[/TD]

[TD="width: 30, align: right"]16.1%[/TD]
[TD="width: 200"]Spanish_Castilla_La_Mancha[/TD]

[TD="width: 50, align: right"]4.07[/TD]

[TD="width: 20, align: center"]18[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]91.6%[/TD]
[TD="width: 200"]Norwegian[/TD]

[TD="width: 30, align: right"]8.4%[/TD]
[TD="width: 200"]Sardinian[/TD]

[TD="width: 50, align: right"]4.08[/TD]

[TD="width: 20, align: center"]19[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]80.9%[/TD]
[TD="width: 200"]Swedish[/TD]

[TD="width: 30, align: right"]19.1%[/TD]
[TD="width: 200"]Spanish_Cataluna[/TD]

[TD="width: 50, align: right"]4.09[/TD]

[TD="width: 20, align: center"]20[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]83%[/TD]
[TD="width: 200"]North_Swedish[/TD]

[TD="width: 30, align: right"]17%[/TD]
[TD="width: 200"]French_Basque[/TD]

[TD="width: 50, align: right"]4.1[/TD]
 
The only way to know is for him to get tested. It will then be crystal clear, but I certainly wouldn't go by results like these, especially not the ones from gedmatch.
 
Her mother, is she French Canadian or directly from France? Because French Canadians mostly come from Western France, which is very similar to Irish DNA (if I relay on some of Maciamo's maps). Perhaps this may boost by mistake the Irish proportion.

However, I find this kind of nationalities percentages pretty dubious. Perhaps a good old family tree will bring some answers regarding her father's origins.
 
Ok thanks. I would assume that if her dad was 100% German as he claims (and testing confirms it) then the 47% Irish may suggest that her bio father is someone else?
 
I'm pretty sure Irish and North German score similarly in most GEDmatch tests. What scores did her testing company [Ancestry.com, 23andme, FTDNA) give her? They usually have an accurate British/Irish cluster which can confirm if she has British/Irish ancestry or not.

The best test on GEDmatch for determining subregional ancestry is Eurogenes K36. K36 doesn't have an oracle on GEDmatch but people online have created one. If you post your wife's GEDmatch Eurogenes K36 results someone on this forum can run it through that Oracle.
 
K 36

[TD="bgcolor: #ffffff"]Population[/TD]
[TD="bgcolor: #ffffff, align: right"] [/TD]

[TD="bgcolor: #ffffff"]Amerindian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Arabian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Armenian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Basque[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.88[/TD]

[TD="bgcolor: #ffffff"]Central_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Central_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.42[/TD]

[TD="bgcolor: #ffffff"]East_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]East_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]East_Balkan[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.97[/TD]

[TD="bgcolor: #ffffff"]East_Central_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]East_Central_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]10.03[/TD]

[TD="bgcolor: #ffffff"]East_Med[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Eastern_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.60[/TD]

[TD="bgcolor: #ffffff"]Fennoscandian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]11.41[/TD]

[TD="bgcolor: #ffffff"]French[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.23[/TD]

[TD="bgcolor: #ffffff"]Iberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]15.34[/TD]

[TD="bgcolor: #ffffff"]Indo-Chinese[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Italian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]4.84[/TD]

[TD="bgcolor: #ffffff"]Malayan[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Near_Eastern[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]North_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]North_Atlantic[/TD]
[TD="bgcolor: #FFFFFF, align: right"]14.47[/TD]

[TD="bgcolor: #ffffff"]North_Caucasian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]North_Sea[/TD]
[TD="bgcolor: #FFFFFF, align: right"]15.21[/TD]

[TD="bgcolor: #ffffff"]Northeast_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Oceanian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Omotic[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Pygmy[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.08[/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]South_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]South_Central_Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.51[/TD]

[TD="bgcolor: #ffffff"]South_Chinese[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Volga-Ural[/TD]
[TD="bgcolor: #FFFFFF, align: right"]2.01[/TD]

[TD="bgcolor: #ffffff"]West_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]West_Caucasian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]West_Med[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]
 
K36


[TD="bgcolor: #ffffff"]Population[/TD]
[TD="bgcolor: #ffffff, align: right"] [/TD]

[TD="bgcolor: #ffffff"]Amerindian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Arabian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Armenian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Basque[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.88[/TD]

[TD="bgcolor: #ffffff"]Central_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Central_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.42[/TD]

[TD="bgcolor: #ffffff"]East_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]East_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]East_Balkan[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.97[/TD]

[TD="bgcolor: #ffffff"]East_Central_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]East_Central_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]10.03[/TD]

[TD="bgcolor: #ffffff"]East_Med[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Eastern_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.60[/TD]

[TD="bgcolor: #ffffff"]Fennoscandian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]11.41[/TD]

[TD="bgcolor: #ffffff"]French[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.23[/TD]

[TD="bgcolor: #ffffff"]Iberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]15.34[/TD]

[TD="bgcolor: #ffffff"]Indo-Chinese[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Italian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]4.84[/TD]

[TD="bgcolor: #ffffff"]Malayan[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Near_Eastern[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]North_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]North_Atlantic[/TD]
[TD="bgcolor: #FFFFFF, align: right"]14.47[/TD]

[TD="bgcolor: #ffffff"]North_Caucasian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]North_Sea[/TD]
[TD="bgcolor: #FFFFFF, align: right"]15.21[/TD]

[TD="bgcolor: #ffffff"]Northeast_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Oceanian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Omotic[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Pygmy[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.08[/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]South_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]South_Central_Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.51[/TD]

[TD="bgcolor: #ffffff"]South_Chinese[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Volga-Ural[/TD]
[TD="bgcolor: #FFFFFF, align: right"]2.01[/TD]

[TD="bgcolor: #ffffff"]West_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]West_Caucasian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]West_Med[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]
 

[TD="bgcolor: #ffffff"]Population[/TD]
[TD="bgcolor: #ffffff, align: right"] [/TD]

[TD="bgcolor: #ffffff"]Amerindian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Arabian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Armenian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Basque[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.88[/TD]

[TD="bgcolor: #ffffff"]Central_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Central_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.42[/TD]

[TD="bgcolor: #ffffff"]East_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]East_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]East_Balkan[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.97[/TD]

[TD="bgcolor: #ffffff"]East_Central_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]East_Central_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]10.03[/TD]

[TD="bgcolor: #ffffff"]East_Med[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Eastern_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.60[/TD]

[TD="bgcolor: #ffffff"]Fennoscandian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]11.41[/TD]

[TD="bgcolor: #ffffff"]French[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.23[/TD]

[TD="bgcolor: #ffffff"]Iberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]15.34[/TD]

[TD="bgcolor: #ffffff"]Indo-Chinese[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Italian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]4.84[/TD]

[TD="bgcolor: #ffffff"]Malayan[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Near_Eastern[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]North_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]North_Atlantic[/TD]
[TD="bgcolor: #FFFFFF, align: right"]14.47[/TD]

[TD="bgcolor: #ffffff"]North_Caucasian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]North_Sea[/TD]
[TD="bgcolor: #FFFFFF, align: right"]15.21[/TD]

[TD="bgcolor: #ffffff"]Northeast_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Oceanian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Omotic[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Pygmy[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.08[/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]South_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]South_Central_Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.51[/TD]

[TD="bgcolor: #ffffff"]South_Chinese[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Volga-Ural[/TD]
[TD="bgcolor: #FFFFFF, align: right"]2.01[/TD]

[TD="bgcolor: #ffffff"]West_African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]West_Caucasian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]West_Med[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]
 
K 36 Results

[TD="bgcolor: #ffffff"]Population

[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]Amerindian[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]Arabian[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]Armenian[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]Basque[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.88[/TD]

[TD="bgcolor: #ffffff"]Central_African[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]Central_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.42[/TD]

[TD="bgcolor: #ffffff"]East_African[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]East_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]East_Balkan[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.97[/TD]

[TD="bgcolor: #ffffff"]East_Central_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]East_Central_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]10.03[/TD]

[TD="bgcolor: #ffffff"]East_Med[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]Eastern_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.60[/TD]

[TD="bgcolor: #ffffff"]Fennoscandian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]11.41[/TD]

[TD="bgcolor: #ffffff"]French[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.23[/TD]

[TD="bgcolor: #ffffff"]Iberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]15.34[/TD]

[TD="bgcolor: #ffffff"]Indo-Chinese[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]Italian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]4.84[/TD]

[TD="bgcolor: #ffffff"]Malayan[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]Near_Eastern[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]North_African[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]North_Atlantic[/TD]
[TD="bgcolor: #FFFFFF, align: right"]14.47[/TD]

[TD="bgcolor: #ffffff"]North_Caucasian[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]North_Sea[/TD]
[TD="bgcolor: #FFFFFF, align: right"]15.21[/TD]

[TD="bgcolor: #ffffff"]Northeast_African[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]Oceanian[/TD]
[TD="bgcolor: #ffffff, align: right"]-[/TD]

[TD="bgcolor: #ffffff"]Omotic[/TD]
[TD="bgcolor: #ffffff, align: right"]-[/TD]

[TD="bgcolor: #ffffff"]Pygmy[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.08[/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]South_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]South_Central_Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.51[/TD]

[TD="bgcolor: #ffffff"]South_Chinese[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]Volga-Ural[/TD]
[TD="bgcolor: #FFFFFF, align: right"]2.01[/TD]

[TD="bgcolor: #ffffff"]West_African[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]West_Caucasian[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]West_Med[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[/TD]
 
Honestly, that K36 from Eurogenes is absolutely nonsense, imo.
 
Somebody ran the K 36 oracle for my wife:

Your wife nMonte

[1] "distance%=2.6438 / distance=0.026438"

Orcadian 36.15
FR_Bretagne 30.05
PL_Sudovia 15.70
NE-England 5.90
Spain_La-Rioja 4.85
Finnish_East 4.15
Latvian 1.70
Mari 1.20
Spain_Centabria 0.30
SW-England 0.00

It seems some British ancestry really is visible. I can't deny it. In Admix4 in Gaussian she's English + Polish even...


Least-squares method.

Using 1 population approximation:
1 Orcadian @ 7,857962
2 NW-England @ 8,675483
3 Ireland @ 9,089775
4 British_mixed @ 9,13195
5 German_North @ 9,209909
6 Welsh @ 9,282853
7 SE_England @ 9,916829
8 NE-England @ 10,152435
9 England_Cumberland @ 10,264927
10 Scotland @ 10,404497
11 Norway @ 10,488853
12 Denmark @ 10,593869
13 Flemish @ 11,053711
14 Northern_Ireland @ 11,119316
15 SW-England @ 11,377577
16 German_West @ 11,479166
17 South_Germany @ 11,872395
18 South_Dutch @ 12,199216
19 German_East @ 12,259657
20 Sweden @ 12,266509
337 iterations.

Using 2 populations approximation:
1 German_East+SW-England @ 5,031857
2 German_East+NE-England @ 5,42663
3 German_East+Orcadian @ 5,772624
4 German_East+Ireland @ 5,775369
5 Czechs_Moravians+SW-England @ 5,879029
6 German_East+Northern_Ireland @ 5,923997
7 PL_SE_Carpathia+SW-England @ 5,945526
8 German_East+FR_Bretagne @ 6,013848
9 German_East+Welsh @ 6,085642
10 German_East+England_Cumberland @ 6,11456
11 Czechs_Moravians+NE-England @ 6,126596
12 German_East+British_mixed @ 6,209087
13 PL_Upper_Silesia+SW-England @ 6,460738
14 German_East+NW-England @ 6,575049
15 Sorb_Lusatia+SW-England @ 6,575834
16 Czechs_Moravians+Northern_Ireland @ 6,579756
17 FR_Bretagne+Sweden_north @ 6,593288
18 Czechs_Moravians+Orcadian @ 6,630167
19 Austria+Orcadian @ 6,654706
20 Pl_Kashubians+SW-England @ 6,672329
56953 iterations.

Using 3 populations approximation:
1 50% NE-England +25% FR_Bretagne +25% Russian_Pskov @ 3,503385
2 50% NE-England +25% FR_Bretagne +25% Russian_Center @ 3,650362
3 50% NE-England +25% FR_Bretagne +25% Russian_Bryansk @ 3,693428
4 50% NE-England +25% FR_Bretagne +25% Belarusian_East @ 3,740222
5 50% SW-England +25% Russian_Bryansk +25% NE-England @ 3,75281
6 50% NE-England +25% Russian_Center +25% SW-England @ 3,784293
7 50% NE-England +25% FR_Bretagne +25% Russian_Smolensk @ 3,788783
8 50% NE-England +25% FR_Bretagne +25% Belarusian_West @ 3,795206
9 50% NE-England +25% FR_Bretagne +25% Russian_Rostov @ 3,807822
10 50% NE-England +25% Russian_Tambov +25% SW-England @ 3,809056
11 50% FR_Bretagne +25% Russian_Novgorod +25% NE-England @ 3,819131
12 50% NE-England +25% FR_Bretagne +25% Russian_Tambov @ 3,863886
13 50% NE-England +25% FR_Bretagne +25% Russian_Ryazan_Tula @ 3,87718
14 50% NE-England +25% Russian_Smolensk +25% SW-England @ 3,878204
15 50% NE-England +25% Belarusian_West +25% SW-England @ 3,884327
16 50% NE-England +25% Ireland +25% Russian_Tambov @ 3,890161
17 50% NE-England +25% Orcadian +25% Russian_Tambov @ 3,890591
18 50% SW-England +25% Belarusian_West +25% NE-England @ 3,892903
19 50% NE-England +25% FR_Bretagne +25% Latvian @ 3,898347
20 50% NE-England +25% Belarusian_East +25% SW-England @ 3,907131
9411796 iterations.

Using 4 populations approximation:
1 FR_Bretagne+Russian_Pskov+NE-England+NE-England @ 3,503385
2 FR_Bretagne+Russian_Pskov+SW-England+NE-England @ 3,567148
3 FR_Bretagne+Russian_Center+NE-England+NE-England @ 3,650362
4 FR_Bretagne+Russian_Bryansk+SW-England+NE-England @ 3,682802
5 FR_Bretagne+Russian_Bryansk+NE-England+NE-England @ 3,693428
6 FR_Bretagne+Latvian+SW-England+NE-England @ 3,723253
7 FR_Bretagne+Belarusian_East+NE-England+NE-England @ 3,740222
8 Russian_Bryansk+SW-England+SW-England+NE-England @ 3,75281
9 Russian_Center+SW-England+NE-England+NE-England @ 3,784293
10 FR_Bretagne+Russian_Smolensk+NE-England+NE-England @ 3,788783
11 FR_Bretagne+Orcadian+Russian_Bryansk+NE-England @ 3,791724
12 FR_Bretagne+Belarusian_West+NE-England+NE-England @ 3,795206
13 FR_Bretagne+NE-England+NE-England+Russian_Rostov @ 3,807822
14 Russian_Tambov+SW-England+NE-England+NE-England @ 3,809056
15 FR_Bretagne+FR_Bretagne+Russian_Novgorod+NE-England @ 3,819131
16 FR_Bretagne+Orcadian+Russian_Pskov+NE-England @ 3,86145
17 FR_Bretagne+Russian_Tambov+NE-England+NE-England @ 3,863886
18 FR_Bretagne+Northern_Ireland+Russian_Pskov+NE-England @ 3,866999
19 FR_Bretagne+Russian_Pskov+NE-England+England_Cumberland @ 3,874933
20 FR_Bretagne+NE-England+NE-England+Russian_Ryazan_Tula @ 3,87718
21 Russian_Smolensk+SW-England+NE-England+NE-England @ 3,878204
22 Belarusian_West+SW-England+NE-England+NE-England @ 3,884327
23 Ireland+Russian_Tambov+NE-England+NE-England @ 3,890161
24 Orcadian+Russian_Tambov+NE-England+NE-England @ 3,890591
25 FR_Bretagne+Orcadian+NE-England+Russian_Ryazan_Tula @ 3,89126
26 Belarusian_West+SW-England+SW-England+NE-England @ 3,892903
27 FR_Bretagne+Ireland+Russian_Novgorod+NE-England @ 3,895205
28 FR_Bretagne+Orcadian+Russian_Center+NE-England @ 3,89792
29 FR_Bretagne+Latvian+NE-England+NE-England @ 3,898347
30 Orcadian+Russian_Tambov+SW-England+NE-England @ 3,899664
31 Belarusian_East+SW-England+NE-England+NE-England @ 3,907131
32 FR_Bretagne+Orcadian+Belarusian_West+NE-England @ 3,912036
33 Orcadian+Belarusian_West+SW-England+NE-England @ 3,913981
34 FR_Bretagne+Orcadian+NE-England+Russian_Rostov @ 3,919305
35 Russian_Bryansk+SW-England+NE-England+NE-England @ 3,931151
36 FR_Bretagne+FR_Bretagne+Orcadian+Estonian @ 3,933572
37 FR_Bretagne+Russian_Novgorod+SW-England+NE-England @ 3,934207
38 Orcadian+Russian_Center+SW-England+NE-England @ 3,939585
39 Orcadian+Russian_Bryansk+SW-England+NE-England @ 3,93961
40 Russian_Pskov+SW-England+SW-England+NE-England @ 3,941473
110187904 iterations.


Gaussian method.
Noise dispersion set to 0,130062

Using 1 population approximation:
1 Orcadian @ 3,1688
2 Denmark @ 3,192359
3 Norway @ 3,493529
4 Ireland @ 3,524235
5 Sweden @ 3,526698
6 NW-England @ 3,635823
7 Northern_Ireland @ 3,728181
8 SE_England @ 3,732859
9 British_mixed @ 3,739045
10 German_North @ 3,895578
11 England_Cumberland @ 4,014955
12 German_East @ 4,047779
13 Scotland @ 4,048149
14 NE-England @ 4,124695
15 Sweden_north @ 4,151602
16 SW-England @ 4,22387
17 Central_Dutch @ 4,253397
18 North_Dutch @ 4,371193
19 FR_Bretagne @ 4,453731
20 France_NorthWest @ 4,487953
337 iterations.

Using 2 populations approximation:
1 Pl_north+SW-England @ 2,793115
2 FR_Bretagne+Pl_north @ 2,794527
3 FR_Bretagne+PL_Sudovia @ 2,883986
4 Pl_north+NE-England @ 2,903308
5 FR_Bretagne+Sweden_north @ 2,904319
6 FR_Bretagne+Latvian @ 2,965272
7 FR_Bretagne+Estonian @ 2,971589
8 PL_Sudovia+SW-England @ 2,975177
9 PL_Wielkopolska+SW-England @ 2,996687
10 FR_Bretagne+Sweden @ 3,000771
11 FR_Bretagne+Russian_Pskov @ 3,002108
12 PL_Mazovia+SW-England @ 3,006735
13 FR_Bretagne+PL_Wielkopolska @ 3,022492
14 Orcadian+Denmark @ 3,049137
15 Pl_Kashubians+SW-England @ 3,052002
16 FR_Bretagne+PL_Mazovia @ 3,052601
17 FR_Bretagne+Denmark @ 3,067167
18 FR_Bretagne+Pl_Kashubians @ 3,079668
19 Northern_Ireland+Pl_north @ 3,101996
20 Russian_Pskov+SW-England @ 3,104701
56953 iterations.

Using 3 populations approximation:
1 50% FR_Bretagne +25% Denmark +25% PL_Sudovia @ 2,384094
2 50% FR_Bretagne +25% Sweden_north +25% PL_Sudovia @ 2,395624
3 50% FR_Bretagne +25% North_Dutch +25% PL_Sudovia @ 2,426629
4 50% FR_Bretagne +25% Denmark +25% Russian_Pskov @ 2,445225
5 50% FR_Bretagne +25% North_Dutch +25% Russian_Pskov @ 2,47525
6 50% FR_Bretagne +25% Sweden_north +25% Russian_Pskov @ 2,486325
7 50% FR_Bretagne +25% Denmark +25% Latvian @ 2,493269
8 50% FR_Bretagne +25% Sweden +25% PL_Sudovia @ 2,506719
9 50% SW-England +25% Denmark +25% PL_Sudovia @ 2,525039
10 50% FR_Bretagne +25% Denmark +25% Estonian @ 2,532978
11 50% FR_Bretagne +25% Norway_north +25% PL_Sudovia @ 2,543317
12 50% FR_Bretagne +25% Norway +25% PL_Sudovia @ 2,545405
13 50% FR_Bretagne +25% Sweden_north +25% Pl_north @ 2,549358
14 50% FR_Bretagne +25% Orcadian +25% PL_Sudovia @ 2,554691
15 50% FR_Bretagne +25% North_Dutch +25% Estonian @ 2,555742
16 50% FR_Bretagne +25% Sweden_north +25% Latvian @ 2,573348
17 50% FR_Bretagne +25% Sweden +25% Russian_Pskov @ 2,574378
18 50% FR_Bretagne +25% Orcadian +25% Latvian @ 2,57684
19 50% FR_Bretagne +25% Estonian +25% SW-England @ 2,577491
20 50% FR_Bretagne +25% Orcadian +25% Russian_Pskov @ 2,578861
 
Angela said:
Honestly, that K36 from Eurogenes is absolutely nonsense, imo.
Click to expand...

I just ran the gedmatch on this for the first time in a long time. I'm sorry, but any test that says I'm only 25% Italian is full of it.
 
matadworf said:
Ok thanks. I would assume that if her dad was 100% German as he claims (and testing confirms it) then the 47% Irish may suggest that her bio father is someone else?
Click to expand...

Just because someone thinks they are 100% German doesn't mean they really are. This is especially true for people from the United States. Also, if there was a non paternal event causing the discrepancy it could have occurred with her grandparents not necessarily her father. I would have him take the same Ancestry DNA test. Both my parents did and on my matches it shows they are very likely my parents.
 
Her father could still be 100% German based on the Ancestry.DNA results. Any kind of European DNA (British, Irish, Scandinavian, even Eastern European) is absorbed into the German gene pool, and these tests aren't meant to tell the difference between German, British or French ancestry because there is little if any genetic difference. They are more for discerning continental heritage, European vs Asian.
 
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