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My results are nothing like yours!
My results:
Population
West_European 53.58%
Mediterranean 25.44%
East_European 10.95%
West_Asian 9.33%
Northeast_Asian 0.45%
Palaeo_African 0.14%
Neo_African 0.12%
South_Asian -
Southeast_Asian -
East_African -
Southwest_Asian -
Northwest_African -
# Population (source) Distance
1 CEU (HapMap) 2.02
2 Argyll (1000 Genomes) 2.95
3 Orcadian (HGDP) 3.17
4 Orkney (1000 Genomes) 3.58
5 N._European (Xing) 3.58
6 German (Dodecad) 6.88
7 Mixed_Germanic (Dodecad) 8.25
8 Dutch (Dodecad) 9.54
9 French (HGDP) 10.4
10 French (Dodecad) 10.93
11 Kent (1000 Genomes) 11.57
12 British_Isles (Dodecad) 13.35
13 British (Dodecad) 13.55
14 Cornwall (1000 Genomes) 14.1
15 Slovenian (Xing) 16.28
16 Irish (Dodecad) 16.28
17 Swedish (Dodecad) 16.3
18 Norwegian (Dodecad) 17.13
19 Hungarians (Behar) 20.48
20 French_Basque (HGDP) 21.87
# Primary Population (source) Secondary Population (source) Distance
1 95.5% Orcadian (HGDP) + 4.5% Armenians_16 (Behar) @ 0.92
2 94.4% Orcadian (HGDP) + 5.6% Turkish (Dodecad) @ 1.01
3 95.4% Orcadian (HGDP) + 4.6% Armenian (Dodecad) @ 1.01
4 94.8% Orcadian (HGDP) + 5.2% Turks (Behar) @ 1.01
5 92.5% Argyll (1000 Genomes) + 7.5% Tuscan (HGDP) @ 1.08
6 97.3% CEU (HapMap) + 2.7% Lezgins (Behar) @ 1.14
7 96% Orcadian (HGDP) + 4% Georgians (Behar) @ 1.15
8 90.5% Argyll (1000 Genomes) + 9.5% N_Italian (Dodecad) @ 1.15
9 92.1% Argyll (1000 Genomes) + 7.9% O_Italian (Dodecad) @ 1.17
10 97.3% CEU (HapMap) + 2.7% Adygei (HGDP) @ 1.18
11 93.2% Argyll (1000 Genomes) + 6.8% C_Italian (Dodecad) @ 1.19
12 97.8% CEU (HapMap) + 2.2% Georgians (Behar) @ 1.22
13 94.5% Argyll (1000 Genomes) + 5.5% S_Italian (Dodecad) @ 1.25
14 91.7% Argyll (1000 Genomes) + 8.3% North_Italian (HGDP) @ 1.25
15 90.8% Argyll (1000 Genomes) + 9.2% TSI (HapMap) @ 1.26
16 95% Orkney (1000 Genomes) + 5% Armenians_16 (Behar) @ 1.29
17 95.6% Orcadian (HGDP) + 4.4% Assyrian (Dodecad) @ 1.3
18 94.4% Argyll (1000 Genomes) + 5.6% Sicilian (Dodecad) @ 1.32
19 94.2% Argyll (1000 Genomes) + 5.8% S_Italian_Sicilian (Dodecad) @ 1.33
20 96.7% CEU (HapMap) + 3.3% Urkarah (Xing) @ 1.33



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| Received: 19,756/81 Given: 5,912/35 |
As the Eurogenes owner(Davidski/Polako) pointed out the 'calulator effect' flaw 3 years ago, which was denied and never fixed. Yet it does suffer from it & Polako was correct.. That is why imo Eurogenes K13 & K15 work best.
The AC calculator on 23andme even suffers from it, most likely.
Davidski said...
Here are Oracle results for two West English, part-Irish brothers, using the Dodecad V3. The first one is in the project, and the second one isn't.
1 Irish (Dodecad) 2.4907
2 Cornwall (1000 Genomes) 2.8394
3 British (Dodecad) 3.0751
4 British_Isles (Dodecad) 3.1513
5 Kent (1000 Genomes) 4.7677
1 Dutch (Dodecad) 2.0374
2 Mixed_Germanic (Dodecad) 3.5816
3 Kent (1000 Genomes) 3.6721
4 British (Dodecad) 5.5162
5 British_Isles (Dodecad) 5.6044
All the Brits that I've seen results for, who aren't in Dodecad, and use the Calculator or Gedmatch algorithm, get Dutch or Mixed-Germanic at the top. They never get any sort of British. That's because they receive a larger share of Eastern European components than they would if they were run in the original ADMIXTURE analysis.
It's not a difficult thing to prove and measure.




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0.00% East Euro in Scotland ?
edit : ok got it






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| Received: 3,863/11 Given: 2,694/2 |
Population Percent
1 West_European 41.86
2 Mediterranean 24.14
3 East_European 21.82
4 West_Asian 8.66
5 Southwest_Asian 2.01
6 South_Asian 1.17
7 Palaeo_African 0.1
8 Northeast_Asian 0.08
9 East_African 0.08
10 Northwest_African 0.04
11 Southeast_Asian 0.03
Single Population Sharing:
# Population (source) Distance
1 Slovenian (Xing) 2.34
2 Hungarians (Behar) 6.24
3 German (Dodecad) 11.02
4 CEU (HapMap) 14.65
5 N._European (Xing) 15
6 Argyll (1000 Genomes) 15.5
7 Orcadian (HGDP) 16.25
8 Orkney (1000 Genomes) 16.51
9 Balkans (Dodecad) 17.87
10 French (Dodecad) 20.3
11 Romanians_14 (Behar) 20.51
12 French (HGDP) 20.72
13 Mixed_Germanic (Dodecad) 22.07
14 FIN (1000Genomes) 22.62
15 Polish (Dodecad) 23
16 Mixed_Slav (Dodecad) 23.46
17 Dutch (Dodecad) 23.57
18 Tuscan (Xing) 24.4
19 Tuscan (Henn) 24.46
20 TSI (HapMap) 24.86
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 70.9% Hungarians (Behar) + 29.1% N._European (Xing) @ 1.12
2 78.3% Hungarians (Behar) + 21.7% Mixed_Germanic (Dodecad) @ 1.24
3 84.8% Slovenian (Xing) + 15.2% German (Dodecad) @ 1.27
4 58.7% Balkans (Dodecad) + 41.3% Swedish (Dodecad) @ 1.3
5 89.6% Slovenian (Xing) + 10.4% Orkney (1000 Genomes) @ 1.36
6 83.1% Hungarians (Behar) + 16.9% Irish (Dodecad) @ 1.36
7 89.5% Slovenian (Xing) + 10.5% Orcadian (HGDP) @ 1.37
8 79.4% Hungarians (Behar) + 20.6% Dutch (Dodecad) @ 1.39
9 88.6% Slovenian (Xing) + 11.4% CEU (HapMap) @ 1.4
10 82.2% Hungarians (Behar) + 17.8% Cornwall (1000 Genomes) @ 1.42
11 89.4% Slovenian (Xing) + 10.6% Argyll (1000 Genomes) @ 1.44
12 81.9% Hungarians (Behar) + 18.1% British (Dodecad) @ 1.45
13 81.7% Hungarians (Behar) + 18.3% British_Isles (Dodecad) @ 1.46
14 93.8% Slovenian (Xing) + 6.2% British_Isles (Dodecad) @ 1.49
15 80.9% Hungarians (Behar) + 19.1% Kent (1000 Genomes) @ 1.5
16 93.9% Slovenian (Xing) + 6.1% British (Dodecad) @ 1.5
17 89.3% Slovenian (Xing) + 10.7% N._European (Xing) @ 1.51
18 93.5% Slovenian (Xing) + 6.5% Kent (1000 Genomes) @ 1.51
19 93% Slovenian (Xing) + 7% Dutch (Dodecad) @ 1.52
20 94.4% Slovenian (Xing) + 5.6% Irish (Dodecad) @ 1.52
1 Slovenian @ 2.571139
2 Hungarians @ 6.907999
3 German @ 12.276849
4 CEU @ 16.252377
5 N._European @ 16.638920
6 Argyll @ 17.222378
7 Orcadian @ 18.060289
8 Orkney @ 18.349369
9 Balkans @ 19.911499
10 French @ 22.405420
11 French @ 22.862059
12 Romanians_14 @ 22.904881
13 Mixed_Germanic @ 24.492224
14 FIN @ 24.807947
15 Polish @ 25.385614
16 Mixed_Slav @ 25.861372
17 Dutch @ 26.163574
18 Tuscan @ 27.074053
19 Tuscan @ 27.113169
20 TSI @ 27.572634
Using 2 populations approximation:
1 50% Slovenian +50% Slovenian @ 2.571139
Using 3 populations approximation:
1 50% Hungarians +25% N._European +25% Slovenian @ 0.873275
Using 4 populations approximation:
1 CEU + Lithuanian + O_Italian + Argyll @ 0.830504
2 Lithuanian + O_Italian + Orcadian + N._European @ 0.853406
3 Hungarians + Hungarians + N._European + Slovenian @ 0.873275
4 Lithuanian + O_Italian + Orkney + N._European @ 0.911431
5 Lithuanian + Tuscan + N._European + N._European @ 0.919571
6 Belorussian + German + TSI + Argyll @ 0.926123
7 Polish + Romanians_14 + N._European + N._European @ 0.927633
8 CEU + Lithuanian + O_Italian + N._European @ 0.949955
9 Lithuanian + O_Italian + Argyll + N._European @ 0.950992
10 Belorussian + German + Orkney + Tuscan @ 0.954775
11 Irish + Lithuanians + Tuscan + Slovenian @ 0.969466
12 CEU + Lithuanian + O_Italian + Orkney @ 0.971520
13 Irish + Lithuanian + Tuscan + Slovenian @ 0.992398
14 Belorussian + German + Argyll + Tuscan @ 1.008806
15 CEU + Lithuanian + O_Italian + Orcadian @ 1.011846
16 Lithuanian + O_Italian + Argyll + Argyll @ 1.016265
17 Belorussian + German + Orkney + TSI @ 1.019295
18 Lithuanians + O_Italian + Argyll + N._European @ 1.032802
19 Lithuanian + Tuscan + Argyll + N._European @ 1.040707
20 Belorussian + German + Orcadian + Tuscan @ 1.045036


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That's similarities, if you have a component close to a Jewish population (let's say some thing looking neolithic) it's gonna use it as a way to make admixtures of different populations. It doesn't mean you have ancestry from there, it just picks up single components from different population and make the better "recipe" to fit your particular genetic makeup. Of course you ll find more of theses similarties as you go South East.
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