Hi all,
I'm hoping I can get some help regarding my Y-DNA results and how they compare to Gedmatch and MyOrigins. I was confused as to why I kept getting German on most of the Gedmatch calculators and it appears to be a high proportion on MyOrigins also (assuming it's most European Coastal Plain), so I thought a haplogroup might make sense of it all.
I ordered the Y-DNA37 marker test and my predicted haplogroup is R-M269 R1b. The migration maps do add weight to the German result but I'm curious if MyOrigins over exaggerates the percentage as I have no paper trail of German ancestry on my paternal side in the last 200 or so years so I though it would be less unless of course my maternal side also has German going back a certain distance. This might also include the Dutch result I get on Eurogenes.
I also assume Scandinavian is present but don't know why MyOrigins has such a high percentage unless some English has crossed over into it and whether to assume Danish is the correct result.
I should also mention my known recent ancestry is Croatian, Polish, English, Scottish, Irish and Maori (which is very low on Gedmatch).
I have attached a copy of MyOrigins for you to look at and will list it here:
European Coastal Islands - 31%
European Northlands - 28%
European Coastal Plain - 25%
Trans-Ural Peneplain - 3%
Anatolia & Caucasus - 8%
Jewish Diaspora - 6%
Any help understanding the German, Scandinavian and Dutch results would be greatly appreciated by myself and my family
These are my Eurogenes K13 and K15 V2 results.
Eurogenes K13 Oracle results:
Admix Results (sorted):
# Population Percent
1 North_Atlantic 42.57
2 Baltic 25.89
3 West_Med 13.16
4 East_Med 10.07
5 West_Asian 5.01
6 Oceanian 1.28
7 South_Asian 1.08
8 East_Asian 0.51
9 Red_Sea 0.33
10 Amerindian 0.06
11 Sub-Saharan 0.03
Single Population Sharing:
# Population (source) Distance
1 West_German 4.23
2 South_Dutch 5.46
3 Austrian 6.75
4 North_German 7.42
5 East_German 8.2
6 Southeast_English 8.56
7 Danish 9.06
8 North_Dutch 9.37
9 French 9.79
10 Orcadian 10.23
11 Hungarian 10.65
12 Swedish 10.87
13 Southwest_English 11.05
14 Norwegian 11.16
15 Irish 11.51
16 West_Scottish 12.01
17 North_Swedish 13.63
18 Serbian 15.17
19 Croatian 16.45
20 Spanish_Cataluna 17.1
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 64.7% Southeast_English + 35.3% Serbian @ 2.61
2 88.6% West_German + 11.4% Belorussian @ 2.8
3 89% West_German + 11% La_Brana-1 @ 2.84
4 70.7% Swedish + 29.3% Tuscan @ 2.84
5 89.1% West_German + 10.9% Estonian_Polish @ 2.94
6 90.5% West_German + 9.5% Lithuanian @ 2.94
7 89.4% West_German + 10.6% Estonian @ 2.95
8 79.6% Swedish + 20.4% Italian_Jewish @ 2.99
9 89.2% West_German + 10.8% Finnish @ 3.01
10 86.7% West_German + 13.3% Southwest_Finnish @ 3.02
11 56.1% Southeast_English + 43.9% Hungarian @ 3.02
12 89.2% West_German + 10.8% Russian_Smolensk @ 3.03
13 85.9% West_German + 14.1% South_Polish @ 3.03
14 89.3% West_German + 10.7% Southwest_Russian @ 3.05
15 74.9% Swedish + 25.1% West_Sicilian @ 3.07
16 87.9% West_German + 12.1% Polish @ 3.07
17 71.4% Danish + 28.6% Bulgarian @ 3.1
18 90.5% West_German + 9.5% East_Finnish @ 3.1
19 89.8% West_German + 10.2% Ukrainian_Belgorod @ 3.15
20 88% West_German + 12% Ukrainian @ 3.17
Least-squares method.
Using 1 population approximation:
1 West_German @ 4.877
2 South_Dutch @ 6.114
3 Austrian @ 7.825
4 North_German @ 8.352
5 East_German @ 9.377
6 Southeast_English @ 9.629
7 Danish @ 10.202
8 North_Dutch @ 10.615
9 French @ 11.089
10 Orcadian @ 11.607
204 iterations.
Using 2 populations approximation:
1 50% Hungarian +50% Southeast_English @ 3.623
2 50% Austrian +50% Southeast_English @ 4.079
3 50% Hungarian +50% Southwest_English @ 4.352
4 50% Austrian +50% West_German @ 4.415
5 50% Austrian +50% South_Dutch @ 4.472
6 50% Serbian +50% West_Scottish @ 4.664
7 50% East_German +50% West_German @ 4.715
8 50% West_German +50% West_German @ 4.877
9 50% East_German +50% South_Dutch @ 4.887
10 50% Hungarian +50% Orcadian @ 4.928
Using 3 populations approximation:
1 50% Southeast_English +25% Bulgarian +25% Swedish @ 3.103
2 50% Danish +25% North_Swedish +25% Tuscan @ 3.130
3 50% Southeast_English +25% Bulgarian +25% North_Swedish @ 3.182
4 50% West_German +25% Hungarian +25% Southeast_English @ 3.223
5 50% Southeast_English +25% Greek_Thessaly +25% North_Swedish @ 3.235
6 50% Danish +25% Bulgarian +25% Southeast_English @ 3.243
7 50% Southeast_English +25% Southwest_Finnish +25% Tuscan @ 3.261
8 50% Southeast_English +25% Bulgarian +25% Danish @ 3.292
9 50% Southeast_English +25% Austrian +25% Serbian @ 3.326
10 50% Swedish +25% Greek_Thessaly +25% Southeast_English @ 3.341
Using 4 populations approximation:
1 Danish + Southeast_English + Southwest_Finnish + Tuscan @ 3.059
2 Bulgarian + Southeast_English + Southeast_English + Swedish @ 3.103
3 North_Swedish + Southeast_English + Swedish + Tuscan @ 3.112
4 Danish + Danish + North_Swedish + Tuscan @ 3.130
5 Danish + Serbian + Southeast_English + West_German @ 3.152
6 North_Dutch + Southeast_English + Southwest_Finnish + Tuscan @ 3.172
7 Bulgarian + North_Swedish + Southeast_English + Southeast_English @ 3.182
8 Hungarian + Southeast_English + West_German + West_German @ 3.223
9 Danish + North_German + North_Swedish + Tuscan @ 3.225
10 Greek_Thessaly + North_Swedish + Southeast_English + Southeast_English @ 3.235
11 Bulgarian + Danish + Danish + Southeast_English @ 3.243
12 Southeast_English + Southeast_English + Southwest_Finnish + Tuscan @ 3.261
13 Danish + North_Dutch + North_Swedish + Tuscan @ 3.264
14 Danish + Greek_Thessaly + North_Swedish + Southeast_English @ 3.279
15 Bulgarian + Danish + Southeast_English + Southeast_English @ 3.292
16 Danish + North_Swedish + Southeast_English + Tuscan @ 3.293
17 North_German + North_Swedish + Southeast_English + Tuscan @ 3.294
18 Norwegian + Southeast_English + Southwest_Finnish + Tuscan @ 3.300
19 Serbian + Southeast_English + Swedish + West_German @ 3.320
20 Greek_Thessaly + North_Dutch + North_Swedish + Southeast_English @ 3.325
I'm hoping I can get some help regarding my Y-DNA results and how they compare to Gedmatch and MyOrigins. I was confused as to why I kept getting German on most of the Gedmatch calculators and it appears to be a high proportion on MyOrigins also (assuming it's most European Coastal Plain), so I thought a haplogroup might make sense of it all.
I ordered the Y-DNA37 marker test and my predicted haplogroup is R-M269 R1b. The migration maps do add weight to the German result but I'm curious if MyOrigins over exaggerates the percentage as I have no paper trail of German ancestry on my paternal side in the last 200 or so years so I though it would be less unless of course my maternal side also has German going back a certain distance. This might also include the Dutch result I get on Eurogenes.
I also assume Scandinavian is present but don't know why MyOrigins has such a high percentage unless some English has crossed over into it and whether to assume Danish is the correct result.
I should also mention my known recent ancestry is Croatian, Polish, English, Scottish, Irish and Maori (which is very low on Gedmatch).
I have attached a copy of MyOrigins for you to look at and will list it here:
European Coastal Islands - 31%
European Northlands - 28%
European Coastal Plain - 25%
Trans-Ural Peneplain - 3%
Anatolia & Caucasus - 8%
Jewish Diaspora - 6%
Any help understanding the German, Scandinavian and Dutch results would be greatly appreciated by myself and my family

These are my Eurogenes K13 and K15 V2 results.
Eurogenes K13 Oracle results:
Admix Results (sorted):
# Population Percent
1 North_Atlantic 42.57
2 Baltic 25.89
3 West_Med 13.16
4 East_Med 10.07
5 West_Asian 5.01
6 Oceanian 1.28
7 South_Asian 1.08
8 East_Asian 0.51
9 Red_Sea 0.33
10 Amerindian 0.06
11 Sub-Saharan 0.03
Single Population Sharing:
# Population (source) Distance
1 West_German 4.23
2 South_Dutch 5.46
3 Austrian 6.75
4 North_German 7.42
5 East_German 8.2
6 Southeast_English 8.56
7 Danish 9.06
8 North_Dutch 9.37
9 French 9.79
10 Orcadian 10.23
11 Hungarian 10.65
12 Swedish 10.87
13 Southwest_English 11.05
14 Norwegian 11.16
15 Irish 11.51
16 West_Scottish 12.01
17 North_Swedish 13.63
18 Serbian 15.17
19 Croatian 16.45
20 Spanish_Cataluna 17.1
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 64.7% Southeast_English + 35.3% Serbian @ 2.61
2 88.6% West_German + 11.4% Belorussian @ 2.8
3 89% West_German + 11% La_Brana-1 @ 2.84
4 70.7% Swedish + 29.3% Tuscan @ 2.84
5 89.1% West_German + 10.9% Estonian_Polish @ 2.94
6 90.5% West_German + 9.5% Lithuanian @ 2.94
7 89.4% West_German + 10.6% Estonian @ 2.95
8 79.6% Swedish + 20.4% Italian_Jewish @ 2.99
9 89.2% West_German + 10.8% Finnish @ 3.01
10 86.7% West_German + 13.3% Southwest_Finnish @ 3.02
11 56.1% Southeast_English + 43.9% Hungarian @ 3.02
12 89.2% West_German + 10.8% Russian_Smolensk @ 3.03
13 85.9% West_German + 14.1% South_Polish @ 3.03
14 89.3% West_German + 10.7% Southwest_Russian @ 3.05
15 74.9% Swedish + 25.1% West_Sicilian @ 3.07
16 87.9% West_German + 12.1% Polish @ 3.07
17 71.4% Danish + 28.6% Bulgarian @ 3.1
18 90.5% West_German + 9.5% East_Finnish @ 3.1
19 89.8% West_German + 10.2% Ukrainian_Belgorod @ 3.15
20 88% West_German + 12% Ukrainian @ 3.17
Least-squares method.
Using 1 population approximation:
1 West_German @ 4.877
2 South_Dutch @ 6.114
3 Austrian @ 7.825
4 North_German @ 8.352
5 East_German @ 9.377
6 Southeast_English @ 9.629
7 Danish @ 10.202
8 North_Dutch @ 10.615
9 French @ 11.089
10 Orcadian @ 11.607
204 iterations.
Using 2 populations approximation:
1 50% Hungarian +50% Southeast_English @ 3.623
2 50% Austrian +50% Southeast_English @ 4.079
3 50% Hungarian +50% Southwest_English @ 4.352
4 50% Austrian +50% West_German @ 4.415
5 50% Austrian +50% South_Dutch @ 4.472
6 50% Serbian +50% West_Scottish @ 4.664
7 50% East_German +50% West_German @ 4.715
8 50% West_German +50% West_German @ 4.877
9 50% East_German +50% South_Dutch @ 4.887
10 50% Hungarian +50% Orcadian @ 4.928
Using 3 populations approximation:
1 50% Southeast_English +25% Bulgarian +25% Swedish @ 3.103
2 50% Danish +25% North_Swedish +25% Tuscan @ 3.130
3 50% Southeast_English +25% Bulgarian +25% North_Swedish @ 3.182
4 50% West_German +25% Hungarian +25% Southeast_English @ 3.223
5 50% Southeast_English +25% Greek_Thessaly +25% North_Swedish @ 3.235
6 50% Danish +25% Bulgarian +25% Southeast_English @ 3.243
7 50% Southeast_English +25% Southwest_Finnish +25% Tuscan @ 3.261
8 50% Southeast_English +25% Bulgarian +25% Danish @ 3.292
9 50% Southeast_English +25% Austrian +25% Serbian @ 3.326
10 50% Swedish +25% Greek_Thessaly +25% Southeast_English @ 3.341
Using 4 populations approximation:
1 Danish + Southeast_English + Southwest_Finnish + Tuscan @ 3.059
2 Bulgarian + Southeast_English + Southeast_English + Swedish @ 3.103
3 North_Swedish + Southeast_English + Swedish + Tuscan @ 3.112
4 Danish + Danish + North_Swedish + Tuscan @ 3.130
5 Danish + Serbian + Southeast_English + West_German @ 3.152
6 North_Dutch + Southeast_English + Southwest_Finnish + Tuscan @ 3.172
7 Bulgarian + North_Swedish + Southeast_English + Southeast_English @ 3.182
8 Hungarian + Southeast_English + West_German + West_German @ 3.223
9 Danish + North_German + North_Swedish + Tuscan @ 3.225
10 Greek_Thessaly + North_Swedish + Southeast_English + Southeast_English @ 3.235
11 Bulgarian + Danish + Danish + Southeast_English @ 3.243
12 Southeast_English + Southeast_English + Southwest_Finnish + Tuscan @ 3.261
13 Danish + North_Dutch + North_Swedish + Tuscan @ 3.264
14 Danish + Greek_Thessaly + North_Swedish + Southeast_English @ 3.279
15 Bulgarian + Danish + Southeast_English + Southeast_English @ 3.292
16 Danish + North_Swedish + Southeast_English + Tuscan @ 3.293
17 North_German + North_Swedish + Southeast_English + Tuscan @ 3.294
18 Norwegian + Southeast_English + Southwest_Finnish + Tuscan @ 3.300
19 Serbian + Southeast_English + Swedish + West_German @ 3.320
20 Greek_Thessaly + North_Dutch + North_Swedish + Southeast_English @ 3.325
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