Gedmatch-based method of obtaining G25 coordinates

[gixajo]

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:

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

I try them adding to this model sources:

http://g25vahaduo.genetics.ovh/G25mo...d-averages.htm

And I get that my customized coordinates are my firts sample in my distance list:

Spoiler!

Distance to: gixajo_scaled
0.01634115 gixajo_fromK13
0.01658208 Spanish_Aragon
0.01727214 Spanish_Pirineu
0.01859632 Spanish_Terres_de_l'Ebre
0.01886758 Spanish_Cantabria
0.01912200 Spanish_Valencia
0.01950849 Spanish_Peri-Barcelona
0.01976409 Spanish_Catalunya_Central
0.02002144 Spanish_Castilla_La_Mancha
0.02011638 Spanish_Camp_de_Tarragona
0.02034893 Spanish_Castello
0.02040101 Spanish_Barcelones
0.02066881 Spanish_Lleida
0.02103738 Spanish_Cataluna
0.02141164 Spanish_Penedes
0.02180879 Spanish_Eivissa
0.02222523 Spanish_Girona
0.02226842 Spanish_Mallorca
0.02231857 Spanish_Navarra
0.02242790 Spanish_Alacant
0.02243580 French_South
0.02303983 Spanish_Galicia
0.02332999 Spanish_Andalucia
0.02374266 Spanish_Menorca
0.02394533 Spanish_Castilla_Y_Leon
0.02521989 Spanish_Baleares
0.02532658 Portuguese
0.02753658 French_Auvergne
0.02761609 Spanish_Extremadura
0.02830354 Spanish_Murcia
0.02886831 French_Occitanie
0.03065155 Spanish_Pais_Vasco
0.03211235 Basque_French
0.03295970 Spanish_Soria
0.03297847 French_Provence
0.03308185 Spanish_Asturias
0.03367804 Italian_Trentino-Alto-Adige
0.03384616 Swiss_French
0.03394874 Italian_Aosta_Valley
0.03475637 Basque_Spanish
0.03550088 Spanish_La_Rioja
0.03876068 Italian_Veneto
0.03970081 Italian_Bergamo
0.04156026 French_Paris
0.04181608 Italian_Lombardy
0.04269814 Italian_Northeast
0.04280247 Swiss_German
0.04582266 French_Nord
0.04584494 French_Alsace
0.04633465 Italian_Liguria

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.

[Defcon2]

1 French_Basque + French_Basque + Spanish_Cataluna + Tunisian @ 4.281778

Basque_French + Basque_French + Spanish_Cataluna + Tunisian

K13,0.08054175,0.1454174,0.03528595,-0.01178075,0.04490703,-0.00641453,-0.00673693,0.00351228,0.03448318,0.03317423,-0.00374983,0.00530935,-0.00780445,-0.01221858,0.01208793,-0.002356,-0.00705065,-0.0021284,-0.0078922,-0.00115325,0.00401528,-0.00589685,-0.00076618,-0.00590288,0.00032773

Distance to:	Juan_scaled
0.02910453	Spanish_Castilla_Y_Leon
0.03060658	Spanish_Andalucia
0.03207120	Spanish_Murcia
0.03254586	Portuguese
0.03321372	Spanish_Extremadura
0.03357197	Spanish_Galicia
0.03396093	Spanish_Asturias
0.03519913	Spanish_Castilla_La_Mancha
0.03564540	Spanish_Valencia
0.03572431	Spanish_Aragon
0.03575547	Spanish_Alacant
0.03579724	Spanish_Menorca
0.03689213	Spanish_Eivissa
0.03726761	Spanish_Baleares
0.03763331	Spanish_Cataluna
0.03783351	K13
0.03866352	Spanish_Cantabria
0.03918715	Spanish_Terres_de_l'Ebre
0.03940735	Spanish_Pirineu
0.04021304	Spanish_Barcelones
0.04023849	Spanish_Mallorca
0.04029485	Spanish_Canarias
0.04040945	Spanish_Peri-Barcelona
0.04043393	Spanish_Lleida
0.04043567	Spanish_Navarra

[gixajo]

1 French_Basque + French_Basque + Spanish_Cataluna + Tunisian @ 4.281778

[/CODE]

Edito: pensé que usaste las mías...

Me refiero a que, no tienes porqué coger el K13, si hay otro oracle que te da mejores distancias, escoge ese.

Or even an oracle with only 2 populations.

[Defcon2]

Edito: pensé que usaste las mías...

Me refiero a que, no tienes porqué coger el K13, si hay otro oracle que te da mejores distancias, escoge ese.

Or even an oracle with only 2 populations.

El K13 es el mejor pero los oracles son un poco peste en ambos, el de 2 pops es Aragón/Andalucía y el de 3 es un 50% basque, 25% Cataluña/Tunecino, vamos una pérdida de tiempo.

K15 mejor distancia de 4 pops: 1 French_Basque + Orcadian + Sardinian + Spanish_Murcia @ 5.391935 (...........)

[Schwop]

How can i do this? Do i need g25?

K13

++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++
1 Belorussian + North_Swedish + Southwest_English + Southwest_Finnish @ 1.563990

[gixajo]

El K13 es el mejor pero los oracles son un poco peste en ambos, el de 2 pops es Aragón/Andalucía y el de 3 es un 50% basque, 25% Cataluña/Tunecino, vamos una pérdida de tiempo.

K15 mejor distancia de 4 pops: 1 French_Basque + Orcadian + Sardinian + Spanish_Murcia @ 5.391935 (...........)

Mis distancias tampoco son espectaculares en el K13, pero bajan algo respecto el sample de medias en Vahaduo.

La idea es dar una alternativa a los que no tienen G25 pero subieron sus raw data a Gedmatch.

The idea is to give an alternative option to those who don´t have G25 coordinates but have uploaded their raw data to Gedmacht.

[gixajo]

How can i do this? Do i need g25?

K13

++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++
1 Belorussian + North_Swedish + Southwest_English + Southwest_Finnish @ 1.563990

These would be your scaled coordinates:

Schwop_fromK13,0.13174588,0.12088580,0.07458703,0.06142590,0.03868860,0.02191873,0.00748860,0.01054830,0.00357365,-0.01182523,-0.00211280,-0.00181365,0.00321303,0.00473933,0.00664963,0.00052630,-0.00721523,0.00128703,0.00316880,0.00245710,0.00367430,0.00067810,0.00272143,0.00596593,0.00062950

Made with more similar population samples I found in average pop, sorry, not North_Swedish or SouthWest_Finnish.

Belarusian+Swedish+English_Cornwall+Finnish

[Defcon2]

Mis distancias tampoco son espectaculares en el K13, pero bajan algo respecto el sample de medias en Vahaduo.

La idea es dar una alternativa a los que no tienen G25 pero subieron sus raw data a Gedmatch.

The idea is to give an alternative option to those who don´t have G25 coordinates but have uploaded their raw data to Gedmacht.

Para averiguar eso sería suficiente con saber los orígenes de cada ascendencia.

[gixajo]

Para averiguar eso sería suficiente con saber los orígenes de cada ascendencia.

Ese método ya lo usamos por ejemplo cuando customizamos coordenadas del K13 para Samnium, pero creo que este tiene una base más sólida para que le funcione mejor a la gente. Mi padre es andaluz y plotea mejor como aragonés, y mi madre como navarra, así aunque a algunos les funcione bien ese método, creo que este debería ir mejor.

Lo que tú dices también pensé hacerlo,con todas las regiones limítrofes, en mi caso a mi madre le pondría:

Basque_french+Castilla y León+Navarra+La Rioja

y a mi padre:

Andalucía+Castilla_La_Mancha+Alicante(o Murcia)

y luego hacer una media de los dos, a ver que tal son mis distancias con eso.

[JohnnyP]

Can you do for me ?
puntDNAL k13
1 Montenegrin + Greek_Central + Italian_Abruzzo + Belarusian @ 1.700765

Eurogenes k13
1 Ashkenazi + Bulgarian + Central_Greek + Lithuanian @ 2.106948