Ancient components based G25 model.

[gixajo]

It is specially "designed" for Iberians and Latin Americans, but it can be useful to others.

Made with references that I made a long time ago mixed with other originals of the datasheet.

I can't find what official samples I made the averages with, but I do remember that they were also based on old samples.

It´s a "Frankestein" model, to give utility to old reference averages and check if they are useful, and I'm curious to see if they work or not.

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

SCALED

Post 1 result only at your choice, ADD DIST COL - 0.25X or ADD DIST COL - NO.



EEF:_A,0.1201737,0.1818720,0.0015428,-0.1063633,0.0523068,-0.0491196,-0.0049083,-0.0087716,0.0366169,0.0845163,0.0100720,0.0137603,-0.0229596,0.0021473,-0.0414732,-0.0093761,0.0220925,0.0022704,0.0131026,-0.0079085,-0.0129770,0.0064201,-0.0057451,-0.0043765,-0.0033612
Ancient_SubAfrican:A,-0.6242421,0.0639936,0.0215130,0.0145326,0.0028094, 0.0117579,-0.0161961,0.0216721,-0.0308661,0.0149323,0.0037054,0.0018871,-0.0006642,0.0019913,-0.0064682,0.0041677,-0.0048993,0.0149827,-0.0066659,0.0019943,0.0010692,0.0020188,0.0011803, 0.0001642,0.0012754
IberoMaurissian:average_A,-0.1817188,0.0866754,-0.0250596,-0.0846260,0.0279743,-0.0574514,-0.0749564,0.0199378,0.1527078,0.0039363,0.0215816,-0.0291416,0.0749324,-0.0487530,0.0702759,-0.0350566,0.0112066,-0.0607980,-0.1455899,0.0365362,-0.0379643,-0.1218721,0.0778557,-0.0118508,0.0190342
Yamnaya:_AverageA,0.1227874,0.0893807,0.0440097,0. 1133317,-0.0281550,0.0447517,0.0038196,-0.0019065,-0.0554802,-0.0746231,0.0008865,-0.0001514,-0.0011828,-0.0218660,0.0340036,0.0122230,-0.0036426,-0.0021776,0.0043327,0.0108962,-0.0045945,0.0014664,0.0132704,0.0210746,-0.0036902
EHG:_AverageA,0.1264861,0.4483570,0.1938400,0.1906 518,0.1582989,0.0546974,0.0125141,0.0359119,0.0911 411,0.0187930,-0.0175584,-0.0148933,0.0181736,-0.0055391,0.0586650,0.0636761,0.0040908,0.0095968,-0.0091446,0.0594815,0.1077161,0.0151939,-0.0533198,-0.1699335,0.0196689
EHG:_AverageB,0.130968,0.285415,0.141307,0.140061, 0.100753,0.044361,0.012555,0.024994,0.044487,-0.009046,-0.010566,-0.014356,0.020697,0.012919,0.024053,0.033867,0.003 401,0.004608,-0.003768,0.031892,0.052460,0.004741,-0.022125,-0.089630,-0.089630
EHG:WHG_ITA_Grotta_Continenza_Meso,0.1206525,0.111 708,0.199308,0.202845,0.1715705,0.0612165,0.016686 ,0.038768,0.1060455,0.028429,-0.0194055,-0.0131885,0.0139745,-0.0119735,0.072746,0.069676,0.002738,0.013999,-0.011376,0.061905,0.1166065,0.009583,-0.061932,-0.195148,0.02401
EHG:WHG_ITA_Villabruna,0.121791,0.114755,0.18592,0 .184111,0.156337,0.060798,0.020211,0.035998,0.0924 45,0.018041,-0.016239,-0.016186,0.016947,-0.010046,0.054017,0.067356,0.000782,0.005448,-0.008422,0.053526,0.100073,0.010758,-0.048313,-0.163517,0.01928
EHG:WHG_England_Mesolithic,0.126344,0.110693,0.202 891,0.197031,0.157876,0.055778,0.010575,0.03346,0. 086514,0.016583,-0.017863,-0.01139,0.014866,-0.001651,0.061481,0.065499,0.002477,0.009882,-0.005531,0.06353,0.116295,0.019661,-0.055954,-0.179664,0.019399
Iberomaurissian:MAR_Taforalt,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
Amerindian:USA_Ancient_Beringian,0.0432525,-0.3051665,0.0873035,0.081073,-0.0887855,-0.020777,-0.1215005,-0.150686,-0.020657,-0.0218685,0.008038,-0.009816,0.0097375,-0.0141065,-0.009093,0.004508,0.002021,0.0119085,0.003017,0.01 39445,-0.005927,0.0059355,0.00721,0.0040965,-0.0006585
Amerindian:USA_Anzick,0.048944,-0.294504,0.115022,0.094316,-0.100634,-0.011992,-0.259217,-0.314525,-0.008795,-0.025149,0.00406,-3e-04,0.001338,0.007982,-0.011672,0.009812,0.006519,-0.00152,-0.001006,0.005253,-0.000873,0.002226,-0.006655,0.004699,0.002754
Amerindian:USA_Spirit_Cave_11000BP,0.0557735,-0.3203995,0.119359,0.0964155,-0.1050965,-0.011295,-0.282483,-0.3313705,-0.017998,-0.0196815,-0.005927,0.002997,-0.0010405,0.0285565,-0.009772,-0.00053,0.0017605,-0.00019,0.005531,0.002751,-0.002246,-0.0016695,-0.007025,0.0059645,0.0020355

[gixajo]

Target: gixajo_scaled
Distance: 3.7491% / 0.03749128 | ADC: 0.25x
54.4 EEF
30.2 Yamnaya
14.4 EHG
1.0 IberoMaurissian

Target: gixajo_dad_scaled
Distance: 3.5902% / 0.03590250 | ADC: 0.25x
57.6 EEF
28.6 Yamnaya
11.0 EHG
2.8 Iberomaurissian

Target: gixajo_mom_scaled
Distance: 4.8686% / 0.04868610 | ADC: 0.25x
52.4 EEF
31.8 Yamnaya
15.0 EHG
0.8 Iberomaurissian

[mitalit]

Target: Xabier_scaled
Distance: 3.8345% / 0.03834524 | ADC: 0.25x
52.0 EEF
37.4 Yamnaya
8.6 EHG
2.0 IberoMaurissian

[Grace O'Malley]

Target: Grace_scaled
Distance: 4.6439% / 0.04643870 | ADC: 0.25x
51.8 Yamnaya
31.4 EEF
16.8 EHG
0.0 Amerindian
0.0 Ancient_SubAfrican
0.0 Iberomaurissian
0.0 IberoMaurissian

Target: Grace_scaled
Distance: 4.5839% / 0.04583886
51.2 Yamnaya
32.2 EEF
16.6 EHG
0.0 Amerindian
0.0 Ancient_SubAfrican
0.0 Iberomaurissian
0.0 IberoMaurissian

[Thracian]

Target: Thracian_scaled
Distance: 3.7492% / 0.03749247 | ADC: 0.25x
50.2 EEF
47.2 Yamnaya
1.6 Amerindian
1.0 Iberomaurissian

[Kyp]

Target: MotherKyp_scaled
Distance: 3.3952% / 0.03395242
46.8 Yamnaya
37.6 EEF
15.6 EHG

[Chris596]

Good! I used additional Han Chinese samples because Amerindian doesn't work for me, as you may know it.

Target: Chris_scaled
Distance: 3.8553% / 0.03855272 | ADC: 0.25x
45.0 EEF
44.6 Yamnaya
9.0 EHG
1.4 Han_Shanghai



EEF:_A,0.1201737,0.1818720,0.0015428,-0.1063633,0.0523068,-0.0491196,-0.0049083,-0.0087716,0.0366169,0.0845163,0.0100720,0.0137603,-0.0229596,0.0021473,-0.0414732,-0.0093761,0.0220925,0.0022704,0.0131026,-0.0079085,-0.0129770,0.0064201,-0.0057451,-0.0043765,-0.0033612
Ancient_SubAfrican:A,-0.6242421,0.0639936,0.0215130,0.0145326,0.0028094, 0.0117579,-0.0161961,0.0216721,-0.0308661,0.0149323,0.0037054,0.0018871,-0.0006642,0.0019913,-0.0064682,0.0041677,-0.0048993,0.0149827,-0.0066659,0.0019943,0.0010692,0.0020188,0.0011803, 0.0001642,0.0012754
IberoMaurissian:average_A,-0.1817188,0.0866754,-0.0250596,-0.0846260,0.0279743,-0.0574514,-0.0749564,0.0199378,0.1527078,0.0039363,0.0215816,-0.0291416,0.0749324,-0.0487530,0.0702759,-0.0350566,0.0112066,-0.0607980,-0.1455899,0.0365362,-0.0379643,-0.1218721,0.0778557,-0.0118508,0.0190342
Yamnaya:_AverageA,0.1227874,0.0893807,0.0440097,0. 1133317,-0.0281550,0.0447517,0.0038196,-0.0019065,-0.0554802,-0.0746231,0.0008865,-0.0001514,-0.0011828,-0.0218660,0.0340036,0.0122230,-0.0036426,-0.0021776,0.0043327,0.0108962,-0.0045945,0.0014664,0.0132704,0.0210746,-0.0036902
EHG:_AverageA,0.1264861,0.4483570,0.1938400,0.1906 518,0.1582989,0.0546974,0.0125141,0.0359119,0.0911 411,0.0187930,-0.0175584,-0.0148933,0.0181736,-0.0055391,0.0586650,0.0636761,0.0040908,0.0095968,-0.0091446,0.0594815,0.1077161,0.0151939,-0.0533198,-0.1699335,0.0196689
EHG:_AverageB,0.130968,0.285415,0.141307,0.140061, 0.100753,0.044361,0.012555,0.024994,0.044487,-0.009046,-0.010566,-0.014356,0.020697,0.012919,0.024053,0.033867,0.003 401,0.004608,-0.003768,0.031892,0.052460,0.004741,-0.022125,-0.089630,-0.089630
EHG:WHG_ITA_Grotta_Continenza_Meso,0.1206525,0.111 708,0.199308,0.202845,0.1715705,0.0612165,0.016686 ,0.038768,0.1060455,0.028429,-0.0194055,-0.0131885,0.0139745,-0.0119735,0.072746,0.069676,0.002738,0.013999,-0.011376,0.061905,0.1166065,0.009583,-0.061932,-0.195148,0.02401
EHG:WHG_ITA_Villabruna,0.121791,0.114755,0.18592,0 .184111,0.156337,0.060798,0.020211,0.035998,0.0924 45,0.018041,-0.016239,-0.016186,0.016947,-0.010046,0.054017,0.067356,0.000782,0.005448,-0.008422,0.053526,0.100073,0.010758,-0.048313,-0.163517,0.01928
EHG:WHG_England_Mesolithic,0.126344,0.110693,0.202 891,0.197031,0.157876,0.055778,0.010575,0.03346,0. 086514,0.016583,-0.017863,-0.01139,0.014866,-0.001651,0.061481,0.065499,0.002477,0.009882,-0.005531,0.06353,0.116295,0.019661,-0.055954,-0.179664,0.019399
Iberomaurissian:MAR_Taforalt,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
Amerindian:USA_Ancient_Beringian,0.0432525,-0.3051665,0.0873035,0.081073,-0.0887855,-0.020777,-0.1215005,-0.150686,-0.020657,-0.0218685,0.008038,-0.009816,0.0097375,-0.0141065,-0.009093,0.004508,0.002021,0.0119085,0.003017,0.01 39445,-0.005927,0.0059355,0.00721,0.0040965,-0.0006585
Amerindian:USA_Anzick,0.048944,-0.294504,0.115022,0.094316,-0.100634,-0.011992,-0.259217,-0.314525,-0.008795,-0.025149,0.00406,-3e-04,0.001338,0.007982,-0.011672,0.009812,0.006519,-0.00152,-0.001006,0.005253,-0.000873,0.002226,-0.006655,0.004699,0.002754
Amerindian:USA_Spirit_Cave_11000BP,0.0557735,-0.3203995,0.119359,0.0964155,-0.1050965,-0.011295,-0.282483,-0.3313705,-0.017998,-0.0196815,-0.005927,0.002997,-0.0010405,0.0285565,-0.009772,-0.00053,0.0017605,-0.00019,0.005531,0.002751,-0.002246,-0.0016695,-0.007025,0.0059645,0.0020355
Han_Chongqing,0.021247,-0.452588,-0.012822,-0.0674,0.085247,0.037,0.001097,-0.002077,-0.017112,-0.003705,-0.048175,-0.003946,0.010753,-0.003808,-0.004841,0.00053,0.001,-0.001605,0.00398,-0.00692,0.014433,0.008408,0.016228,0.000201,0.0048 7
Han_Fujian,0.018895,-0.452114,-0.014557,-0.067895,0.086478,0.039547,0.002068,-0.001892,-0.014685,-0.001677,-0.051055,-0.004736,0.005768,-0.009386,-0.005619,-0.001538,0.002243,0.001596,-0.001986,-0.013607,0.01727,0.004773,0.016663,0.003856,-0.006706
Han_Guangdong,0.019187,-0.45249,-0.020796,-0.070968,0.10103,0.04765,0.000269,-0.008736,-0.015106,-0.006717,-0.030622,-0.003618,0.005777,-0.00407,-0.004188,0.002652,-0.000335,0.002244,-0.000664,-0.015668,0.013726,0.008656,0.012624,0.000207,-0.002652
Han_Henan,0.025496,-0.444193,0.008825,-0.064342,0.050533,0.020415,0.006721,0.003369,-0.013621,0.003791,-0.076355,-0.01142,0.012131,-0.008367,-0.005022,0,0.002556,-0.001166,-0.001483,-0.004377,0.010906,0.00737,0.008529,-0.001687,-0.001868
Han_Hubei,0.022082,-0.454551,-0.005959,-0.067184,0.074968,0.03224,0.000235,-0.004431,-0.013785,0.002223,-0.052062,-0.005635,0.008741,-0.007377,-0.005293,0.000106,0.001904,0.000937,-0.004148,-0.013356,0.020339,0.002201,0.013409,-0.000627,-0.005173
Han_Jiangsu,0.022439,-0.454667,-0.000377,-0.070091,0.063529,0.02761,0.007319,9.9e-05,-0.0142,0.002812,-0.067948,-0.007536,0.011171,-0.008139,-0.007503,-0.000966,-0.000335,0.002606,-0.003879,-0.011416,0.013298,0.005229,0.012712,-0.000981,-0.001471
Han_Shandong,0.022132,-0.448639,0.005363,-0.060114,0.051531,0.021258,0.006189,0.000436,-0.010726,0.003564,-0.07349,-0.008742,0.010291,-0.008762,-0.007842,-4.4e-05,0.001434,0.001337,-0.001201,-0.008449,0.010967,0.006608,0.011613,0.001058,-0.000492
Han_Shanghai,0.029594,-0.447341,-0.001697,-0.069445,0.058472,0.03263,0.003643,0.002423,-0.015135,-0.003554,-0.076079,-0.015511,0.011373,-0.002546,-0.003664,0.007756,0.003846,0.004371,0.004651,-0.017071,0.016533,0.00779,0.011955,-0.003073,-0.005149
Han_Shanxi,0.025752,-0.439597,0.011691,-0.060119,0.047355,0.01757,0.006639,0.001846,-0.010098,0.005194,-0.074739,-0.008393,0.010276,-0.007931,-0.006752,-0.000464,0.001076,-0.000443,-0.005311,-0.006972,0.00875,0.010588,0.012309,0.00244,0.00142 2
Han_Sichuan,0.019838,-0.448139,-0.007219,-0.067,0.077157,0.033427,0.001981,-0.00534,-0.013265,0.000364,-0.053356,-0.01002,0.010003,-0.007412,-0.007736,-0.000814,0.001192,-0.000706,-0.003717,-0.005824,0.01123,0.006306,0.011691,0.000224,0.0024 8
Han_Zhejiang,0.021626,-0.454754,-0.004978,-0.066732,0.071706,0.031236,0.002256,-0.001108,-0.013335,-0.000109,-0.06515,-0.006894,0.01332,-0.005312,-0.006216,0.002837,0.001956,-5.1e-05,-0.005707,-0.011581,0.01445,0.004822,0.012621,0.00282,-0.003281

[paradox]

Target: scaled
Distance: 3.7680% / 0.03768007 | ADC: 0.25x
55.8 EEF
44.0 Yamnaya
0.2 IberoMaurissian
----------------------------------

Target: Father_scaled
Distance: 4.4558% / 0.04455839 | ADC: 0.25x
50.8 EEF
46.0 Yamnaya
3.2 EHG

[gixajo]

Target: Kyp_scaled
Distance: 5.4543% / 0.05454283
51.2 Yamnaya
43.4 EEF
4.8 Amerindian
0.6 Iberomaurissian

Target: MotherKyp_scaled
Distance: 3.3952% / 0.03395242
46.8 Yamnaya
37.6 EEF
15.6 EHG

Better for your mother than for you?

[Kaspias]

Target: Kaspias_scaled
Distance: 3.5791% / 0.03579075
46.2 EEF
44.6 Yamnaya
9.2 Han_Henan

[Kyp]

Better for your mother than for you?

obviously if you check the distances

Target: Kyp_scaled
Distance: 5.1561% / 0.05156122
51.0 Yamnaya
43.0 EEF
4.0 Han_Henan
2.0 Iberomaurissian

[gixajo]

Good! I used additional Han Chinese samples because Amerindian doesn't work for me, as you may know it.

e]

Without these Han samples in the model, did you score some Amerindian?

I assumed that it was a quite shitty model, was only to check those old references I made.

But I scored quite high in HG so I liked it.:D

[Catkin]

Distance: 4.5815% / 0.04581457 | ADC: 0.25x
51.6 Yamnaya
33.8 EEF
14.6 EHG

[Adamm]

Target: Adam_Scaled
Distance: 2.6063% / 0.02606268

46.0 EEF
35.6 Iberomaurissian
12.6 Yamnaya
4.0 Ancient_SubAfrican
1.8 EHG

[gixajo]

Target: Adam_Scaled
Distance: 2.6063% / 0.02606268



Opinion?

[gixajo]

obviously if you check the distances

Target: Kyp_scaled
Distance: 5.1561% / 0.05156122
51.0 Yamnaya
43.0 EEF
4.0 Han_Henan
2.0 Iberomaurissian

Bad distances for you, but not absurd ones.;)

With just one (better 2) good reference extra for you, you would have got acceptable distances.

[Adamm]

Opinion?

Good model with a relativly good distance :thumb001:

[Defcon2]

Target: Juan_scaled
Distance: 4.8166% / 0.04816551
53.8 EEF
30.2 Yamnaya
10.0 EHG
4.8 Iberomaurissian
1.2 Ancient_SubAfrican

[EV13Scythian]

Target: 7.62x39_scaled
Distance: 5.6810% / 0.05680995 | ADC: 0.25x
54.6 Yamnaya
33.0 EEF
12.4 EHG

Target: 7.62x39_scaled
Distance: 5.5113% / 0.05511286
47.0 Yamnaya
32.4 EEF
16.6 EHG
4.0 Amerindian

[RyoHazuki]

Target: Ryo_scaled
Distance: 5.9340% / 0.05933981
46.4 Yamnaya
36.8 EEF
16.2 EHG
0.6 Iberomaurissian

Target: Ryo_scaled
Distance: 5.9700% / 0.05970039 | ADC: 0.25x
48.2 Yamnaya
37.0 EEF
14.8 EHG

I get Iberomaurusian.

[Damião de Góis]

Target: Gil_Vicente
Distance: 4.0570% / 0.04057008 | ADC: 0.25x
51.6 EEF
35.0 Yamnaya
9.4 EHG
3.6 Iberomaurissian
0.4 Ancient_SubAfrican

Target: Gil_Vicente
Distance: 3.7986% / 0.03798637
49.8 EEF
35.0 Yamnaya
9.6 EHG
4.2 Iberomaurissian
1.4 Ancient_SubAfrican

So Add Dist Col makes slight changes in everything except Yamnaya. To be honest i still don't get when it's better to use Add Dist Col, the distance increases.

[Coastal Elite]

Target: DacoCeltic_scaled
Distance: 3.1372% / 0.03137223 | ADC: 0.25x
48.8 Yamnaya
43.8 EEF
7.4 EHG

Target: DacoCeltic_scaled
Distance: 3.0785% / 0.03078452
47.4 Yamnaya
43.8 EEF
8.8 EHG

[J. Ketch]

Target: Creoda_scaled
Distance: 5.4315% / 0.05431464
49.2 Yamnaya
33.2 EEF
17.6 EHG

I'm guessing EHG stands for European Hunter Gatherer, not Eastern Hunter Gather (the usual nomenclature).

[calxpal]

Target: cpalscaled
Distance: 3.7794% / 0.03779378
48.2 Yamnaya
39.4 EEF
12.4 EHG

[Pedro Ruben]

Target: Pedro_scaled
Distance: 3.7263% / 0.03726318
47.6 EEF
32.8 Yamnaya
10.2 EHG
7.0 Iberomaurissian
1.8 Ancient_SubAfrican
0.6 Amerindian

Target: Pedro_scaled
Distance: 3.9113% / 0.03911290 | ADC: 0.25x
49.2 EEF
34.2 Yamnaya
9.2 EHG
6.8 Iberomaurissian
0.6 Ancient_SubAfrican

[gixajo]

Target: Ryo_scaled
Distance: 5.9340% / 0.05933981
46.4 Yamnaya
36.8 EEF
16.2 EHG
0.6 Iberomaurissian

Target: Ryo_scaled
Distance: 5.9700% / 0.05970039 | ADC: 0.25x
48.2 Yamnaya
37.0 EEF
14.8 EHG

I get Iberomaurusian.

Just noise :rolleyes:

[gixajo]

Target: Creoda_scaled
Distance: 5.4315% / 0.05431464
49.2 Yamnaya
33.2 EEF
17.6 EHG

I'm guessing EHG stands for European Hunter Gatherer, not Eastern Hunter Gather (the usual nomenclature).

You are right,it´s European and not Eastern,and basically are based in Western HG.

References were made thinking in Iberians and Latin Americans.

[gixajo]

Target: Gil_Vicente


So Add Dist Col makes slight changes in everything except Yamnaya. To be honest i still don't get when it's better to use Add Dist Col, the distance increases.

I am not sure about it, but I guess that at least that could be useful for this(in Spanish because I am tired , and you have no problem in understand it, AFAIK)

1-Para observar la tendencia general de cada componente.Si a mayor ADC aumenta un componente, ese componente es fiable, si disminuye,desaparece o cambia por otro, es residual o poco confiable.

2-Para observar la estabilidad del resultado.Si la distancia general varía poco, el resultado es "fiable"

El poder regular y configurar estas cosas, es mejor que simplemente tener un resultado fijo, porque nos permite observar tendencias, para poder discutir los resultados.

And now, I´m going to bed.

[RyoHazuki]

Just noise :rolleyes:

I get SSA across many, I guess the ones included didn't quite match it.

[alnortedelsur]

------------------------------------------

[alnortedelsur]

Target: Alnortedelsur_scaled
Distance: 3.4646% / 0.03464616
46.8 EEF
29.8 Yamnaya
6.8 Amerindian
6.8 Iberomaurissian
6.4 EHG
3.4 Ancient_SubAfrican

Target: Alnortedelsur_scaled
Distance: 3.8588% / 0.03858754 | ADC: 0.25x
48.0 EEF
33.6 Yamnaya
6.8 Iberomaurissian
4.8 EHG
4.6 Amerindian
2.2 Ancient_SubAfrican

Distance to: Alnortedelsur_scaled
0.17784910 EEF:_A
0.20247727 Yamnaya:_AverageA
0.32238879 EHG:_AverageB
0.38121281 EHG:WHG_ITA_Villabruna
0.40469062 IberoMaurissian:average_A
0.40715260 EHG:WHG_England_Mesolithic
0.41047827 Iberomaurissian:MAR_Taforalt
0.42819556 EHG:WHG_ITA_Grotta_Continenza_Meso
0.47895114 Amerindian:USA_Ancient_Beringian
0.51728179 EHG:_AverageA
0.58512799 Amerindian:USA_Anzick
0.62291682 Amerindian:USA_Spirit_Cave_11000BP
0.70151842 Ancient_SubAfrican:A

[Luso]

Target: Luso_scaled
Distance: 4.1399% / 0.04139906
50.6 EEF
30.0 Yamnaya
11.8 EHG
7.0 Iberomaurissian
0.6 Ancient_SubAfrican

Target: Luso_scaled
Distance: 4.2736% / 0.04273639 | ADC: 0.25x
52.4 EEF
31.0 Yamnaya
10.6 EHG
6.0 Iberomaurissian

[EV13Scythian]

Target: 7.62x39_scaled
Distance: 5.6810% / 0.05680995 | ADC: 0.25x
54.6 Yamnaya
33.0 EEF
12.4 EHG


Target: 7.62x39_scaled
Distance: 5.5113% / 0.05511286
47.0 Yamnaya
32.4 EEF
16.6 EHG
4.0 Amerindian

I score Amerindian on quite a few calcs wtf lol

[Ritz06]

Target:
Distance: 4.0858% / 0.04085837
54.2 Yamnaya
41.4 EEF
2.6 Amerindian
1.4 Iberomaurissian
0.2 Ancient_SubAfrican
0.2 EHG

[gixajo]

Target:
G


I score Amerindian on quite a few calcs wtf lol

I supose that your Amerindian is some other Center Asian or "mongoloid" related ancient component.

[Beowulf]

Target: Beowulf_Scaled
Distance: 0.0312% / 0.03120762
51.4 EEF
37.0 Yamnaya
11.6 EHG

[celticdragongod]

Distance to: CDG_scaled
0.14999171 Yamnaya:_AverageA
0.22399706 EEF:_A
0.26595744 EHG:_AverageB
0.33849884 EHG:WHG_ITA_Villabruna
0.36518271 EHG:WHG_England_Mesolithic
0.38906203 EHG:WHG_ITA_Grotta_Continenza_Meso
0.47015013 EHG:_AverageA
0.47725790 IberoMaurissian:average_A
0.48349269 Iberomaurissian:MAR_Taforalt
0.51657199 Amerindian:USA_Ancient_Beringian
0.62849117 Amerindian:USA_Anzick
0.66582521 Amerindian:USA_Spirit_Cave_11000BP
0.76734894 Ancient_SubAfrican:A


Target: CDG_scaled
Distance: 5.1160% / 0.05115988
50.2 Yamnaya
34.2 EEF
15.6 EHG

Target: CDG_scaled
Distance: 5.1160% / 0.05115988
50.2 Yamnaya:_AverageA
34.2 EEF:_A
9.8 EHG:WHG_ITA_Villabruna
5.8 EHG:_AverageB

[cass]

Target: cass
Distance: 4.8225% / 0.04822466 | ADC: 0.25x
51.2 Yamnaya
31.0 EEF
17.8 EHG

close to

Target: PolishL_Kuyavia1
Distance: 5.5593% / 0.05559318 | ADC: 0.25x
50.4 Yamnaya
31.6 EEF
18.0 EHG


Target: German_Hither_Pomerania
Distance: 4.7564% / 0.04756368 | ADC: 0.25x
50.2 Yamnaya
31.0 EEF
18.8 EHG

Target: PolishL_WlkpSouth4_Odolanow
Distance: 5.9269% / 0.05926864 | ADC: 0.25x
51.4 Yamnaya
29.4 EEF
19.2 EHG

[majevica]

Target: majevica_scaled
Distance: 4.5735% / 0.04573522
43.2 EEF
39.2 Yamnaya
15.0 EHG
2.6 Amerindian

[noricum]

Target: G25noricum_scaled
Distance: 5.3487% / 0.05348722
46.0 Yamnaya
38.0 EEF
16.0 EHG

[Norrsken]

Target: Norrsken_scaled
Distance: 5.0217% / 0.05021707
51.2 Yamnaya
29.8 EEF
19.0 EHG