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Run any Gedmatch calculator in which you obtain good distances in "oracle 4 ", then take similar 4 populations samples from G25 pop averages datasheet, and calculate the mean.
In my case I did it with K13 and K15.
K13
1 French_Basque + Southwest_French + Spanish_Galicia + Spanish_Galicia @ 3.908170
So I did this mean (average?) with more similar population samples form G25 datasheet (No Southwest French in that datasheet so I put South French)
Basque_French,+French_South,+Spanish_Galicia,+Span ish_Galicia,
And I obtain these coordinates:
I try them adding to this model sources:Code:gixajo_fromK13,0.1179402,0.1474335,0.0467299,0.0045952,0.0473774,-0.0007967,-0.0030140,0.0026110,0.0269159,0.0349802,-0.0050762,0.0072947,-0.0170129,-0.0129758,0.0114701,0.0005020,-0.0063739,0.0001245,-0.0026462,-0.0011295,0.0042237,-0.0010357,-0.0038800,-0.0060226,-0.0014994
http://g25vahaduo.genetics.ovh/G25mo...d-averages.htm
And I get that my customized coordinates are my firts sample in my distance list:
Spoiler!
So it´s not a perfect match, but these coordinates work relatively well.
I did not check this method with different oracle 4 K13 results, or with different calculators in which I obtain better distances, surely I could get better coordinates searching more, this is only to explain the method.
I hope this method helps someone, and remember that this does not replace authentic G25 coordinates made with your raw data directly.
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