Only 5 components from Eurogenes k13 based G25 Model.

If I remember well, Nurzat made (or at least showed us) this map:

https://i.imgur.com/qv0r2Rl.jpg

So this model is based in this map. Actually sources are 7 samples, but results are 5 components at most.

https://vahaduo.github.io/vahaduo/

SCALED

Code:

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Eastern_Europe:Latvian,0.1354494,0.122473,0.0887742,0.089471,0.043208,0.0340246,0.0125966,0.0140762,-0.002168,-0.0368842,-0.0035728,-0.0138178,0.0232208,0.031378,-0.010559,0.0040572,0.0027118,-0.0003802,0.0016088,0.0043022,-0.0027952,-0.0057128,0.0090708,-0.0093264,0.0026346
Westerm_Europe:Irish,0.1334042,0.134875,0.0610876,0.0482532,0.0383388,0.0188992,0.003,0.0047738,0.0031318,0.002725,-0.00714,0.005606,-0.0143759,-0.0139278,0.0253478,0.0048208,-0.0110725,0.0022052,0.0007502,0.0013385,0.0051745,0.0012249,-0.0003563,0.0147667,0.0010665
Caucasus:Georgian_Imer,0.108132,0.1332374,-0.0619988,-0.0459952,-0.0383456,-0.0089246,0.0113746,-0.0056768,-0.0639748,-0.0175312,-0.0004546,0.0130384,-0.0251532,0.0072388,0.001873,-0.0238662,0.0070668,-0.0044088,-0.0095026,0.0153074,0.0115046,0.0013602,2.46e-05,-0.0070852,-0.0017964
Caucasus:Georgian_Laz,0.1085872,0.1368936,-0.05423,-0.0564604,-0.0306518,-0.0085342,0.0089304,-0.0047078,-0.0495356,-0.0129754,0.0028904,0.009981,-0.017988,0.0041012,-0.0040446,-0.0167592,0.0126994,-0.003446,-0.0029916,0.010455,0.0063636,0.0020278,-0.0013802,-0.0086758,-0.0011016
South_Euro:Sardinian,0.1216872,0.1672855,0.0284897,-0.0506523,0.060151,-0.0221337,-0.0039523,0.0024964,0.0415743,0.077351,-5.9e-05,0.0166487,-0.0286645,-0.012974,-0.013572,-0.0030013,0.0114027,-0.0013475,0.0016798,-0.0129947,-0.0021212,-0.0011018,-0.010084,-0.021383,0.0003375
Near_East:Palestinian,0.0455292,0.134253,-0.0473285,-0.0780045,-0.0126482,-0.0297299,-0.0062276,-0.0019845,0.0167504,-0.0003096,0.0081843,-0.0096364,0.0203072,-0.0013211,-0.00095,0.0097452,-0.0020079,-0.001761,8.81e-05,0.0025387,0.0011356,0.0052801,-0.0001603,0.0023977,0.001844
Near_East:Syrian,0.0647593,0.1259791,-0.0488273,-0.060962,-0.0190156,-0.0195664,-0.0032034,-0.0024897,-0.0016685,-0.0018415,0.0023845,-0.0054188,0.0109304,0.0005794,-0.0027502,0.0051012,-0.0038155,-0.0006535,0.0020773,0.0003554,0.0015368,0.0001432,-0.0023935,-0.0007419,6.2e-06

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Only take into account components with more than 15% in your results.

Target: gixajo_scaled
Distance: 2.0201% / 0.02020144
49.8 Westerm_Europe
41.4 South_Euro
5.4 Near_East
3.4 Eastern_Europe

Target: gixajo_scaled
Distance: 2.0607% / 0.02060661 | ADC: 0.25x
55.0 Westerm_Europe
41.2 South_Euro
3.8 Near_East

And yes, I don´t know what is the purest refrence for Near East in k13, maybe is any country in the coast of the Red Sea, so I put those 2 samples because for me Near East could be perfectly Palestine or Syria. :)

For Anatolia it seems 51+15=66. Where is the remaining 34?

Target: Feiichy_scaled
Distance: 2.8050% / 0.02804967

56.2 Eastern_Europe
24.6 South_Euro
15.4 Caucasus
3.8 Western_Europe


Target: Stears_scaled
Distance: 1.9137% / 0.01913738

44.0 Eastern_Europe
25.2 Western_Europe
11.6 Near_East
11.4 Caucasus
7.8 South_Euro

Quote:

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Originally Posted by Narration

For Anatolia it seems 51+15=66. Where is the rest 34?

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Only more than 15% of any component, I forgot to say it, so the rest of components are as average less than 15%.(In Anatolian peninsula I mean)

Very nice calculator btw, clean and logical.Works well for both of us, thumbs up :thumb001:

So yes, only take into account components with more than 15% in your results.

Quote:

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Originally Posted by Feiichy

Target: Feiichy_scaled
Distance: 2.8050% / 0.02804967

56.2 Eastern_Europe
24.6 South_Euro
15.4 Caucasus
3.8 Western_Europe


Target: Stears_scaled
Distance: 1.9137% / 0.01913738

44.0 Eastern_Europe
25.2 Western_Europe
11.6 Near_East
11.4 Caucasus
7.8 South_Euro

---

Quite good result...

I added Siberian as my fit was 8 without it.

Target: Kaspias_scaled
Distance: 3.2102% / 0.03210203
31.2 Near_East
20.8 Eastern_Europe
15.0 Westerm_Europe
14.2 Caucasus
9.8 South_Euro
9.0 Siberian