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My different G25 .------ Sheet Moriopoulos Collection 2025 - Moderns (No Sims) Averages
Target: Wend .kruzek_sample_synteticDNAgenics
Distance: 1.1768% / 0.01176792 | ADC: 1x
87.8 Czech_(n=21)
8.6 Ukrainian_Ivano-Frankivsk_(n=1)
3.6 Polish_Wielkopolska_(n=11)
Target: kruzekeuk13g25sim-Admx:
Distance: 2.4417% / 0.02441721 | ADC: 1x
34.4 Czech_(n=21)
27.8 German_East_(n=14)
23.6 German_Thuringia_(n=1)
11.2 Polish_Wielkopolska_(n=11)
3.0 Slovincian_(n=2)
Target: kruzekeu15g25sim-ADMX:
Distance: 1.5749% / 0.01574879 | ADC: 1x
52.6 Slovincian_(n=2)
23.8 Polish_Silesia_(n=2)
23.6 Croat_Slavonia_(n=1)
Target: LudoK35tog25
Distance: 1.6136% / 0.01613564 | ADC: 1x
41.0 Ukrainian_Lviv_(n=11)
25.2 Croat_Slavonia_(n=1)
20.6 Slovincian_(n=2)
7.8 Czech_(n=21)
5.4 German_Saxony_Leipzig_(n=8)
Target: Ludok36ngang25sim
Distance: 1.4699% / 0.01469895 | ADC: 1x
44.6 Ukrainian_Lviv_(n=11)
29.4 Slovincian_(n=2)
13.8 Czech_(n=21)
12.2 Croat_Slavonia_(n=1)
Target: Wend-Kruzek_simulated_g25_scaled
Distance: 1.0283% / 0.01028316 | ADC: 1x
77.0 Ukrainian_Lviv_(n=11)
11.6 Croat_Kajkavian_Northern_Croatia_(n=7)
11.4 Czech_(n=21)
Target: Kruzek-k36admixMarquesEUro_scaled
Distance: 1.0048% / 0.01004767 | ADC: 1x
77.0 Ukrainian_Lviv_(n=11)
14.2 Czech_(n=21)
8.8 Croat_Kajkavian_Northern_Croatia_(n=7)
Target: Wend-Kruzek_scaled-Dav-orig-illustra
Distance: 1.4757% / 0.01475654 | ADC: 1x
48.4 German_Saxony_Leipzig_(n=8)
24.4 Croat_Kajkavian_Northern_Croatia_(n=7)
22.6 Ukrainian_Cossack_Dnipropetrovsk_(n=1)
4.6 Ukrainian_Lviv_(n=11)
It all wanders exactly according to the map from ph2ter
I have R1a-yp1337. So East Germany , Bohemia+Moravia fits.
I have a lot in my family tree, surnames originating in the West /Northern/ Balkans - that fits too.
Ukraine - Typically Slavic element.



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Target: Repent:Genoplot_sim_K13basedG25_scaled
Distance: 1.1248% / 0.01124835
59.0 Northeastern_European
23.6 Southeastern_European
16.0 Northwestern_European
1.4 Siberian
Target: Repent:Genoplot_sim_K13basedG25_MergedFile_scaled
Distance: 1.4804% / 0.01480351
61.8 Northeastern_European
24.6 Southeastern_European
12.2 Northwestern_European
1.4 Siberian
Target: Repent:RealG25(Davidski)_scaled
Distance: 1.9135% / 0.01913464
72.0 Northeastern_European
24.8 Southeastern_European
3.2 Siberian
I do not know which type of Ashkenazi Jewish my grandma was, but by the only DNA test I did the closest regions for my Ashkenazi Jewish ancestry are Belarusia or Central Ukraine, so if DNA test is fully right to very close one, then Davidski outdid even merged file sim (I've heard that merged file is a better one, so when I will have an opportunity I will buy coordinates for the merged file too).
Follow God (Christian Holy Trinity).
https://youtube.com/shorts/8GFQKUR2o...rfQ5nxdkuBcK5C
https://en.m.wikipedia.org/wiki/Para...Good_Samaritan
https://youtube.com/shorts/x8AI3Dcie...0Uf2vfxqJZOyva
Attitudinal Psyche type: FVLE (the Survivalist). Socionics type: SLI.












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Interesting!
Thanks for sharing, I'm only seeing it now. "Czech" and Ukrainian are constant and the rest seems natural to me, nothing bizarre.
"Sheet Moriopoulos Collection 2025" is an extensive collection of 2080 samples and nothing exotic appears in your simulated coordinates.
Thanks again!
German_Kingdom-of-Prussia_(ghost),0.1345579,0.1314643,0.0715706,0.05 88402,0.0426589,0.0228925,0.0074964,0.0097798,0.00 24535,-0.0110713,-0.0053468,-0.0024884,0.0033076,0.0113027,0.0049235,0.0035482,-0.0017119,0.000753,0.0040701,0.003331,0.002137,-0.0029782,0.0030389,0.0047346,0.0012004












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Thank you very much, Repent!
When you increase distance for the simulated ones, the Northwest European disappear like in your official coordinate?
About the Ashkenazi, maybe you can try to put the sign : after Ashkenazi.
Instead of use:
Ashkenazi_Austria,0.095611,0.137096,-0.011502,-0.047481,0.010925,-0.014781,-0.00235,-0.002884,0.009715,0.014214,0.002923,-0.001649,-0.000595,0.001101,-0.00475,0.001525,-0.008605,6.3e-05,-0.001446,-0.002814,-0.002184,-0.003091,-0.001417,0.001205,-0.000898
Ashkenazi_Belarussia,0.101915,0.133972,-0.00734,-0.03958,0.010771,-0.014459,-0.001012,-0.00103,0.005727,0.014621,0.002448,-0.000369,0.00231,-0.001461,-0.002944,0.002795,0.001815,-0.000341,0.001489,-0.00126,-0.003859,-0.00077,0.00274,0.001566,-0.000295
Ashkenazi_France,0.095611,0.143697,-0.015132,-0.051357,0.009309,-0.019487,-0.002526,-0.002048,0.008564,0.019545,0.003776,-0.000937,0.002509,-0.002305,-0.003647,0.003182,0.000896,-0.002265,-0.002137,-0.005393,-0.000889,-0.00289,0.00037,0.002591,0.001602
Ashkenazi_Germany,0.097319,0.142377,-0.014406,-0.049936,0.010925,-0.018769,-0.001974,-0.001754,0.009858,0.018843,0.003962,-0.001124,0.002512,-0.00267,-0.005049,0.003089,0.002203,-0.001698,-0.000779,-0.001126,-0.003344,-0.002696,0.000875,0.001386,0.000814
Ashkenazi_Latvia,0.097319,0.135065,-0.016216,-0.043767,0.00677,-0.015757,-0.00329,-0.004038,0.004909,0.013485,0.001949,0.001723,0.006 467,0.002133,-0.006922,-0.004177,-0.006128,-0.001077,-0.000754,-0.005753,-0.003931,-0.002782,0.001849,0.003012,0.003413
Ashkenazi_Lithuania,0.099854,0.132757,-0.009222,-0.040375,0.009484,-0.014147,-0.000556,-0.001175,0.006061,0.013701,0.00155,-0.001853,0.002568,0.000625,-0.004442,0.003459,0.0016,0.000161,0.000446,-0.003172,-0.003256,-0.00335,0.002924,0.002443,-0.001056
Ashkenazi_Poland,0.100117,0.136843,-0.007338,-0.043,0.009797,-0.015409,-0.000881,-0.000894,0.008198,0.014275,0.001164,-0.000593,0.00288,0.000166,-0.004145,-0.001674,-0.003765,3.2e-05,-0.000807,-0.004064,-0.002678,-0.002272,0.001689,0.002169,0.001527
Ashkenazi_Romania,0.102441,0.137096,-0.006222,-0.042798,0.010002,-0.015478,-0.00376,-0.000808,0.006238,0.015034,0.004141,0.002473,-0.000446,-0.000413,-0.001968,-0.001326,-0.003651,0.000697,-0.000817,-0.008316,-0.003806,-0.003277,0.001725,0.006868,0.000359
Ashkenazi_Russia,0.101189,0.131511,-0.006449,-0.038276,0.010371,-0.014335,-0.001951,-0.000185,0.006545,0.01405,0.00112,3e-04,0.002141,0.00033,-0.005035,-0.000265,-0.001213,-0.00057,-0.002137,-0.003126,-0.003569,-0.002955,0.000629,0.004579,-0.001221
Ashkenazi_Ukraine,0.099424,0.135116,-0.005506,-0.040117,0.012048,-0.014265,-0.001093,0.000115,0.007772,0.012939,0.000804,0.000 112,0.002416,0.000523,-0.00283,-0.00183,-0.004322,-1.9e-05,0.001276,-0.004677,-0.003126,-0.002591,0.00077,0.002103,0.001006
You should to use:
Ashkenazi:_Austria,0.095611,0.137096,-0.011502,-0.047481,0.010925,-0.014781,-0.00235,-0.002884,0.009715,0.014214,0.002923,-0.001649,-0.000595,0.001101,-0.00475,0.001525,-0.008605,6.3e-05,-0.001446,-0.002814,-0.002184,-0.003091,-0.001417,0.001205,-0.000898
Ashkenazi:_Belarussia,0.101915,0.133972,-0.00734,-0.03958,0.010771,-0.014459,-0.001012,-0.00103,0.005727,0.014621,0.002448,-0.000369,0.00231,-0.001461,-0.002944,0.002795,0.001815,-0.000341,0.001489,-0.00126,-0.003859,-0.00077,0.00274,0.001566,-0.000295
Ashkenazi:_France,0.095611,0.143697,-0.015132,-0.051357,0.009309,-0.019487,-0.002526,-0.002048,0.008564,0.019545,0.003776,-0.000937,0.002509,-0.002305,-0.003647,0.003182,0.000896,-0.002265,-0.002137,-0.005393,-0.000889,-0.00289,0.00037,0.002591,0.001602
Ashkenazi:_Germany,0.097319,0.142377,-0.014406,-0.049936,0.010925,-0.018769,-0.001974,-0.001754,0.009858,0.018843,0.003962,-0.001124,0.002512,-0.00267,-0.005049,0.003089,0.002203,-0.001698,-0.000779,-0.001126,-0.003344,-0.002696,0.000875,0.001386,0.000814
Ashkenazi:_Latvia,0.097319,0.135065,-0.016216,-0.043767,0.00677,-0.015757,-0.00329,-0.004038,0.004909,0.013485,0.001949,0.001723,0.006 467,0.002133,-0.006922,-0.004177,-0.006128,-0.001077,-0.000754,-0.005753,-0.003931,-0.002782,0.001849,0.003012,0.003413
Ashkenazi:_Lithuania,0.099854,0.132757,-0.009222,-0.040375,0.009484,-0.014147,-0.000556,-0.001175,0.006061,0.013701,0.00155,-0.001853,0.002568,0.000625,-0.004442,0.003459,0.0016,0.000161,0.000446,-0.003172,-0.003256,-0.00335,0.002924,0.002443,-0.001056
Ashkenazi:_Poland,0.100117,0.136843,-0.007338,-0.043,0.009797,-0.015409,-0.000881,-0.000894,0.008198,0.014275,0.001164,-0.000593,0.00288,0.000166,-0.004145,-0.001674,-0.003765,3.2e-05,-0.000807,-0.004064,-0.002678,-0.002272,0.001689,0.002169,0.001527
Ashkenazi:_Romania,0.102441,0.137096,-0.006222,-0.042798,0.010002,-0.015478,-0.00376,-0.000808,0.006238,0.015034,0.004141,0.002473,-0.000446,-0.000413,-0.001968,-0.001326,-0.003651,0.000697,-0.000817,-0.008316,-0.003806,-0.003277,0.001725,0.006868,0.000359
Ashkenazi:_Russia,0.101189,0.131511,-0.006449,-0.038276,0.010371,-0.014335,-0.001951,-0.000185,0.006545,0.01405,0.00112,3e-04,0.002141,0.00033,-0.005035,-0.000265,-0.001213,-0.00057,-0.002137,-0.003126,-0.003569,-0.002955,0.000629,0.004579,-0.001221
Ashkenazi:_Ukraine,0.099424,0.135116,-0.005506,-0.040117,0.012048,-0.014265,-0.001093,0.000115,0.007772,0.012939,0.000804,0.000 112,0.002416,0.000523,-0.00283,-0.00183,-0.004322,-1.9e-05,0.001276,-0.004677,-0.003126,-0.002591,0.00077,0.002103,0.001006
And in Vahaduo you should to use "Aggregate yes". I believe it will force an overlapping of Ashkenazi.
If you wasn't Russia and European, I would to say you should exclude Russia and the East of Europe.
You can also make averages of Ashkenazi here: https://dna-tools.xyz/
I suggest at least Western and Eastern samples. You can divide Baltic-Polish-Belarussian Ashkenazi and the ones of Ukraine, Romania, Balkans.
German_Kingdom-of-Prussia_(ghost),0.1345579,0.1314643,0.0715706,0.05 88402,0.0426589,0.0228925,0.0074964,0.0097798,0.00 24535,-0.0110713,-0.0053468,-0.0024884,0.0033076,0.0113027,0.0049235,0.0035482,-0.0017119,0.000753,0.0040701,0.003331,0.002137,-0.0029782,0.0030389,0.0047346,0.0012004












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My results with this calculator.
I usually score something from Southeastern Europe with simulated of K36 and directly from MyHeritage Raw Data. I believe if there is such connection, it is very old.
K13 and K15 results are more "conservatives" or "moderated", and I feel no need for increase the distances.
Target: Fabricius_K13-G25
Distance: 1.4007% / 0.01400674 | ADC: 0.5x RC
60.8 Spanish_Canarias_Gran_Canaria_(Canarian)_(n=114)
18.0 French_Occitan_Provence-Alpes-Cote_d'Azur_o_(n=1)
15.8 German_Hamburg_o_(n=1)
5.4 African_American_(n=24)
Target: Fabricius_K15-G25
Distance: 1.5250% / 0.01525017 | ADC: 0.5x RC
70.2 Spanish_Canarias_Gran_Canaria_(Canarian)_(n=114)
24.6 German_Hamburg_o_(n=1)
5.2 African_American_(n=24)
Target: Fabricius_K36-G25
Distance: 1.5021% / 0.01502076 | ADC: 0.5x RC
44.8 Spanish_Canarias_La_Gomera_(Canarian)_(n=76)
24.0 Spanish_Canarias_La_Gomera_(Canarian)_o2_(n=1)
14.8 German_Hamburg_o_(n=1)
8.2 Polish_Mazovia_(n=2)
4.6 Spanish_Canarias_Gran_Canaria_(Canarian)_(n=114)
3.6 Puerto_Rican_(n=5)
Target: Fabricius_MyHeritage-to-g25(simulated)
Distance: 1.2878% / 0.01287760 | ADC: 0.5x RC
31.0 Spanish_Canarias_La_Gomera_(Canarian)_o2_(n=1)
25.6 Spanish_Canarias_La_Gomera_(Canarian)_(n=76)
14.6 German_Hamburg_o_(n=1)
12.2 Moldovan_o2_(n=1)
9.8 Puerto_Rican_(n=5)
6.8 Serb_Serbia_Moravica_(n=2)
German_Kingdom-of-Prussia_(ghost),0.1345579,0.1314643,0.0715706,0.05 88402,0.0426589,0.0228925,0.0074964,0.0097798,0.00 24535,-0.0110713,-0.0053468,-0.0024884,0.0033076,0.0113027,0.0049235,0.0035482,-0.0017119,0.000753,0.0040701,0.003331,0.002137,-0.0029782,0.0030389,0.0047346,0.0012004



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Follow God (Christian Holy Trinity).
https://youtube.com/shorts/8GFQKUR2o...rfQ5nxdkuBcK5C
https://en.m.wikipedia.org/wiki/Para...Good_Samaritan
https://youtube.com/shorts/x8AI3Dcie...0Uf2vfxqJZOyva
Attitudinal Psyche type: FVLE (the Survivalist). Socionics type: SLI.



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Repent:RealG25(Davidski)_scaled,0.135449,0.108662, 0.059962,0.041344,0.034776,0.015339,0.009635,0.014 076,-0.004295,-0.019681,-0.005196,-0.009741,0.014866,0.020781,-0.014658,-0.004375,0.001434,0.00266,0.000126,-0.006003,-0.002121,0.004204,0.011709,0.001205,0.001796
Repent:Genoplot_sim_K13basedG25_MergedFile_scaled, 0.1284,0.1157,0.0588,0.0502,0.0337,0.0158,0.0098,0 .0099,-0.0043,-0.015,-0.0032,-0.0054,0.0113,0.0125,-0.0108,0.0066,0.0134,0.0033,0.0052,0.0065,0.0013,-0.0049,0.0047,-0.0005,-0.0003
Repent:Genoplot_sim_K13basedG25_scaled,0.1291,0.11 72,0.0579,0.048,0.0351,0.016,0.0086,0.0096,-0.003,-0.0126,-0.0035,-0.0044,0.0095,0.0127,-0.0088,0.0041,0.0095,0.0036,0.0055,0.0053,0.0009,-0.0044,0.0047,-0.0009,-0.0004
Here you can use my coordinates for your comparing between real and sim coordinates, I can simulated another one, just tell me the service and I will see if it s
Is available for Russia. You do not have to share the results, I am alright with that. Prolly if someone doesn't add up (my DNA test says that I am Russian 75% and Ashkenazi Jewish 25% (Maybe form Belarusia or Central Ukraine, not 100% sure) then try to use some additional coordinates that might make both genomes.
Follow God (Christian Holy Trinity).
https://youtube.com/shorts/8GFQKUR2o...rfQ5nxdkuBcK5C
https://en.m.wikipedia.org/wiki/Para...Good_Samaritan
https://youtube.com/shorts/x8AI3Dcie...0Uf2vfxqJZOyva
Attitudinal Psyche type: FVLE (the Survivalist). Socionics type: SLI.












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Thanks, Repent!
I greatly appreciate your generosity.
Later I'll observe the difference by testing with thousands of samples (to see if the official one is less sensitive to noise), and with other classic calculators here at TA.
My simulated coordinate straight from MyHeritage's raw data is more similar to the simulated one from K36.
I believe that nowhere is it yet possible to generate simulations directly from raw data. But it would be interesting to see your coordinate from K36.
If possible. do it whenever you want, here or DM, wherever you prefer.
K13 is the most restricted in my case, and I believe the most accurate. If I only have this K13 of yours coordinate, it's still something interesting, as I imagine the official one by Davidiski is less sensitive to noise.
So K13 is good as well.
German_Kingdom-of-Prussia_(ghost),0.1345579,0.1314643,0.0715706,0.05 88402,0.0426589,0.0228925,0.0074964,0.0097798,0.00 24535,-0.0110713,-0.0053468,-0.0024884,0.0033076,0.0113027,0.0049235,0.0035482,-0.0017119,0.000753,0.0040701,0.003331,0.002137,-0.0029782,0.0030389,0.0047346,0.0012004





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Using the same model:
Target: JingleBell_scaled
Distance: 1.7484% / 0.01748429
45.6 West_Iberian
33.6 West_African
11.6 Central_African
6.8 Levant_and_Arabia
2.4 South_American
Target: JingleBell_simulated_K36_to_g25_simulated_g25_scal ed
Distance: 1.3238% / 0.01323806
41.0 West_Iberian
30.0 West_African
14.2 Central_African
6.6 Levant_and_Arabia
6.4 Maghreb_and_West_Sahara
1.8 South_American
Target: Mom_simulated_K36_to_g25_scaled(Lowcoverage)
Distance: 0.9671% / 0.00967134
32.8 West_Iberian
30.0 West_African
26.2 Central_African
10.6 Levant_and_Arabia
0.4 South_American
Target: Mom_simulated_by_exploreyourdna
Distance: 3.8758% / 0.03875752
40.8 West_Iberian
38.2 West_African
16.2 Central_African
4.8 Levant_and_Arabia
Target: Dad_simulated_K36_to_g25_scaled
Distance: 1.1424% / 0.01142448
48.8 West_Iberian
31.2 West_African
8.6 Levant_and_Arabia
5.6 South_American
5.0 Central_African
0.8 Maghreb_and_West_Sahara
Target: JingleBell_Dad_scaled
Distance: 1.0657% / 0.01065697
48.6 West_Iberian
29.0 West_African
9.6 Levant_and_Arabia
6.6 Central_African
6.2 South_American
The main change is usually in MENA/Iberian %, k36 seens to make us more east-med/north-african.
Distance: 1.3003% / 0.01300250 | R5P
44.6 Spanish_Canarias_Gran_Canaria_(Canarian)_o_(n=3)
28.8 Esan_(n=8)
14.4 Ronga_(n=3)
9.0 Egyptian_Arab_Muslim_Sharqia_(n=2)
3.2 Surui_(n=7)
Other ancestors y-DNA's: E-M81 (possibly E-PF2546), R-L52 (possibly R-L151)
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