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0.5x penalty calculator for West Eurasians

Kurdquistador

Moderator
Staff member
the guy who made this model said you should use it with some penalty . he included some references with strongly non west eurasian admix like uralic and indus though . lel

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

coordinates :


Britonic_Belgian,0.127482,0.1368064,0.0595853,0.0494651,0.0371496,0.0170523,0.0036593,0.0052416,0.0030094,0.0031503,-0.0053821,0.007108,-0.0142077,-0.0127597,0.0219673,0.0017616,-0.0083819,0.0011221,0.0039503,0.0038054,0.0052586,0.0016606,-0.0035037,0.0071954,-0.0002394
Gaulish:,0.1240672,0.1434437,0.0385605,0.0220448,0.0384687,0.0074602,0.0005875,0.0050768,0.0080785,0.0120275,-0.0065363,0.0055077,-0.011001,-0.004163,0.0081772,0.0016905,-0.0014992,0.00152,0.0016655,0.000219,0.0043047,0.003926,0.0024032,0.0045488,-0.0012872
Slavic,0.12862,0.129988,0.068259,0.046835,0.02739,0.013387,0.007285,0.014076,-0.001841,-0.018406,-0.000812,-0.004346,0.003717,0.007156,-0.010993,-0.003182,0.011604,-0.002027,-0.002388,-0.004752,0.005615,0.000618,0.001725,-0.000964,-0.006706
Germanic,0.1205614,0.129744,0.0629038,0.0479074,0.0417184,0.0171127,0.0017578,0.0074674,0.0062011,-0.0009185,-0.004495,0.0035668,-0.0057443,-0.006149,0.013002,0.007128,-0.000193,0.0007653,0.0039217,0.0027414,0.0056998,0.003759,0.0010599,0.0096446,-0.0010682
Germanic,0.1268827,0.1340497,0.0656786,0.05185,0.0425666,0.0169829,0.0039951,0.0071536,0.004435,-0.0009784,-0.0048032,0.0047248,-0.0073077,-0.0055556,0.0144864,0.0096232,0.0018939,0.002647,0.0040553,0.0051999,0.0057662,0.0056424,-0.0004866,0.0093545,0.0002207
Germanic,0.137726,0.137096,0.061471,0.046835,0.042469,0.020638,0.00376,0.008307,0.00634,-0.000911,-0.01023,0.000599,-0.001933,0.011698,0.006107,-0.00358,-0.019297,0.008361,0.007668,-0.003752,0.004367,0.006306,-0.001356,-0.004699,0.003473
Slavic,0.133742,0.12948,0.073727,0.057494,0.0373915,0.029144,0.0094,0.007269,0.004295,-0.018224,-0.001543,-0.006369,0.0102575,0.017753,-0.0138435,0.0007295,0.0002605,0.0034205,0.0055305,0.001313,0,-0.002782,0.010846,-0.0069285,0.001736
Norse,0.1284862,0.1269114,0.0745478,0.064714,0.0450581,0.0237877,0.006352,0.0104386,0.0040544,-0.0094977,-0.0038638,0.0007406,-0.0024311,-0.0022182,0.0176277,0.0070623,-0.0072286,0.0011849,0.0038523,0.005694,0.0080887,0.0021275,0.0006923,0.0110574,0.0014793
Italic_Alpine,0.1182812,0.1517372,0.0252041,-0.0243596,0.0364168,-0.0101331,-0.0010576,-0.0006347,0.0185607,0.0350805,0.0018945,0.0082928,-0.015572,-0.007145,-0.0024542,-0.0046958,0.0029772,0.000549,0.0038548,-0.0034392,-0.0011958,0.0018651,-0.0021672,-0.0022593,-0.0003293
Uralic,0.1044325,-0.036051,0.1057825,0.0792965,-0.0122328,0.008576,0.006169,0.0141918,0.0037328,-0.0303422,0.033046,-0.0083175,0.019772,-0.0182695,-0.0065485,-0.0034805,-3.28e-05,-0.0031672,-0.0073848,0.0008442,0.016658,-0.0018547,-0.0016945,0.004097,0.0008382
Iberian,0.120652,0.151314,0.048649,-0.002261,0.056934,-0.009203,-0.003995,0.004384,0.035792,0.058133,-0.001461,0.01079,-0.02438,-0.022845,0.004479,0.008884,0.012126,-0.001014,-0.003268,-0.002376,0.006114,0.000124,-0.000493,-0.01687,0.002275
Iberian,0.125205,0.1431895,0.065053,0.0114665,0.058011,0.003347,-0.0034075,0.0045,0.026077,0.034989,-0.002192,0.0088425,-0.0169475,-0.0085325,0.0107215,6.65e-05,-0.008279,0.0008865,-0.000126,-0.00075,0.0082355,0.0023495,-0.0070865,-0.0118085,-0.0061075
Iberian,0.1244941,0.1489018,0.0564739,0.0021802,0.0598572,-0.0031725,-0.0036426,0.0044711,0.0299882,0.0468802,-0.0047092,0.0111088,-0.0233585,-0.0145191,0.0078549,0.0056351,0.0067799,0.0016153,0.0038024,-0.0010318,0.0055682,-9.26e-05,-0.007364,-0.0123961,-0.0011226
Balkanic,0.113823,0.1610462,-0.0076052,-0.0675339,0.022953,-0.0277263,7.83e-05,-0.004096,0.0072947,0.0463184,0.0035048,0.0131384,-0.0163898,0.0017202,-0.0200187,-0.0069721,0.0161784,0.0027239,0.0083904,-0.0087542,-0.0066238,0.0024423,-0.0021875,0.0026108,-0.002814
Berber,-0.0393828,0.1314096,-0.0023384,-0.0687344,0.0337292,-0.0363672,-0.0299874,0.008261,0.0708878,0.0305428,0.0075674,-0.0059948,0.0182554,-0.0176982,0.0232082,-0.0130468,0.0031814,-0.019206,-0.044321,0.010405,-0.0134762,-0.0377142,0.0232692,-0.0011806,0.0046224
Levant,0.0789173,0.1411587,-0.0600877,-0.1049757,-0.0165157,-0.0365343,-0.0036033,-0.017461,0.0156117,0.011906,0.0060623,-0.007094,0.0225967,-0.003991,-0.010541,0.0114467,0.00339,-0.005574,-0.005447,0.0036683,0.0041593,0.0037097,-0.0047657,-0.007471,0.0026343
Levant_Hellenistic,0.064879,0.147252,-0.060339,-0.0809115,-0.0063085,-0.029144,-0.0024675,-0.013615,0.0018405,0.0059225,0.005115,-0.0006745,0.0079535,0.0033715,-0.012283,-0.002718,-0.00665,0.0012035,0.009867,-0.012944,0.0034315,0.004637,-0.0057925,-0.002109,-0.005688
Siberian,0.0912862,-0.1407524,0.1197736,0.1070428,-0.0612422,-0.000781,-0.003948,-9.22e-05,-0.0002046,-0.0455588,0.0327052,-0.0107904,0.0223586,-0.0497092,-0.0029044,0.008751,-0.0031294,0.0016974,-0.0029664,0.0025012,0.0020212,0.006331,0.0064828,-0.0131822,0.0005508
Iranian,0.095611,0.111708,-0.069767,-0.036176,-0.047393,0.003626,-0.00235,-0.001846,-0.043155,-0.019499,0.003897,-0.002997,0.008771,0.002615,0.00095,0.009679,-0.010561,0.012922,0.006788,-0.003627,-0.003868,-0.013107,-0.004067,-0.004699,0.007664
Iranian,0.0786423,0.1015784,-0.0916529,-0.0207339,-0.069069,0.0032956,0.0057499,-0.0043728,-0.0494812,-0.0268069,0.0044278,-1.37e-05,0.0041613,-0.0037353,0.0110657,0.024897,-0.0039519,0.0015666,0.0076437,-0.013985,0.0011615,-0.0103291,-0.0043455,-0.0149449,0.0087837
Indus,0.0660173,-0.016587,-0.118416,0.081396,-0.078784,0.045366,0.0043867,0.0031537,-0.0036817,-0.0063177,-0.007903,-0.0018483,-0.0010407,-0.004725,0.0065143,0.0115793,0.0006517,-0.000929,-0.002095,-0.0053777,-0.002246,-0.0012367,0.0009037,-0.0011247,0.0002393
Caucasus,0.1050209,0.1295477,-0.0640225,-0.0412794,-0.0476294,-0.0065355,0.0098313,-0.0088995,-0.0618413,-0.0205076,0.003762,0.008947,-0.0172346,0.003303,0.0054425,-0.0053698,0.0084228,-0.0022718,-0.0039804,0.0065365,0.007624,-0.0023203,-0.0007356,-0.0061374,-0.0022951


this is what i get

Target: Alaska
Distance: 2.3354% / 0.02335381 | ADC: 0.5x RC
64.4 Iranian
22.2 Levant_Hellenistic
8.4 Balkanic
5.0 Siberian

Target: Alaska
Distance: 2.8043% / 0.02804269 | ADC: 0.5x RC
73.2 Iranian
16.2 Levant_Hellenistic
9.6 Italic_Alpine
1.0 Balkanic

Target: Alaska
Distance: 2.4804% / 0.02480401 | ADC: 0.5x RC
65.8 Iranian
22.2 Levant_Hellenistic
6.0 Balkanic
6.0 Uralic
 

Kurdquistador

Moderator
Staff member
one of the "Iranian" references has too much caucasus in it and also too much EEF so when i leave that iranian reference out i get this :

Target: Alaska
Distance: 2.8653% / 0.02865314 | ADC: 0.5x RC

42.0 Iranian
32.4 Levant_Hellenistic
10.2 Caucasus
8.6 Italic_Alpine
6.8 Uralic

---

and without levant hellenistic :


Target: Alaska
Distance: 3.0757% / 0.03075680 | ADC: 0.5x RC

60.2 Iranian
13.6 Italic_Alpine
13.2 Balkanic
13.0 Levant


 

Kurdquistador

Moderator
Staff member
Distance to: Alaska
0.04150990 Iranian
0.06839475 Caucasus
0.07368120 Iranian
0.08361390 Levant_Hellenistic
0.10129917 Levant
0.12721689 Balkanic
0.14077134 Italic_Alpine
0.15483557 Gaulish:
0.17945902 Slavic
0.18049091 Germanic
0.18122672 Britonic_Belgian
0.18546624 Germanic
0.18662058 Germanic
0.18675013 Iberian
0.18697106 Iberian
0.18772429 Iberian
0.19604353 Slavic
0.20068898 Norse
0.20491785 Indus
0.21525267 Berber
0.26025117 Uralic
0.35046228 Siberian
 

Sangawargovar

New member
Off-topic question, but what is the best fit you have gotten for yourself using ancients and only three-four relevant ones at that (to gauge Steppe, BMAC, Iran_Chl, Anatolian_C, Levant_C, etc.)? I can't ever seem to get good fits for you, using your sample on Genoplot.
 

Kurdquistador

Moderator
Staff member
with only three four ? i dont know tbh.

but with 5-6 bronze age pops i got to 1.9 -2.0 or so

but a fit of 3-4 is not even bad especially for neolithics because when you use relevant pops it will give you the correct model either way.

i mean there isnt much more you can do anyway lol
 

Sangawargovar

New member
with only three four ? i dont know tbh.

but with 5-6 bronze age pops i got to 1.9 -2.0 or so

but a fit of 3-4 is not even bad especially for neolithics because when you use relevant pops it will give you the correct model either way.

i mean there isnt much more you can do anyway lol
Sometimes, it could be the company you tested with and their raw data; what raw data is your G25 based off of? 23andme V5 and MyHeritage are not the best for G25.
 
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