Whats the best method to get the WHG Steppe ancestry?

[CuriousUser]

Ive done qpadm from Andrei (user here), gedmatch and illustrative dna and each show very different results.

[Wend-Kruzek]

I'm not sure if I understood the question correctly, but could it be something like this?;)
cord:
WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%,0.121791,0.114755,0.190 446,0.184434,0.15449,0.061914,0.020916,0.042691,0. 095717,0.021504,-0.017376,-0.014837,0.021704,-0.007707,0.051845,0.066427,0.005867,0.006081,-0.007668,0.055527,0.100198,0.013725,-0.045232,-0.172193,0.020357
WHG_G:England_UP_Magdalenian:Goughs__BC_12800__Cov _41.05%,0.0774,0.037575,0.06675,0.114666,0.078168, 0.028168,-0.00235,0.017999,0.070765,0.029158,-0.008769,-0.006145,0.00773,-0.01734,0.040037,0.025722,0.007562,-0.002534,-0.004525,0.042145,0.057149,0.010881,-0.026129,-0.104352,0.008742
CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%,0.081953,0.09546,-0.101445,-0.002261,-0.09848,0.015339,0.032666,-0.004154,-0.159529,-0.105332,-0.001137,0.030273,-0.073141,-0.000275,0.057274,-0.011005,0.08814,0.003927,-0.03595,0.060154,0.07075,-0.020155,-0.005669,-0.04832,-0.001197
AHG:Turkey_Central_Pinarbasi_Epipaleolithic.AG:ZBC _IPB001.B-C0101_Luk2.AG__BC_13461__Cov_77.50%,0.114961,0.165 531,0.032809,-0.081073,0.070782,-0.039602,-0.00235,-0.000462,0.046427,0.080366,0.005684,0.008093,-0.022448,-0.011423,-0.044923,-0.004773,0.043939,-0.00114,0.010182,-0.004752,-0.013227,0.00507,-0.0053,-0.010363,-0.007664
IBERO:Iberomaurusian:Morocco_Iberomaurusian.AG:TAF 011.AG__BC_12500__Cov_81.38%,-0.195776,0.08632,-0.020365,-0.091086,0.026159,-0.059125,-0.073793,0.020307,0.165255,0.002734,0.019487,-0.042712,0.087412,-0.054636,0.06596,-0.037655,0.009127,-0.072466,-0.149581,0.034266,-0.044297,-0.130454,0.071484,-0.013134,0.021435
NATUFIAN:Israel_Natufian.AG:I1072.AG__BC_10750__Co v_50.71%,0.025041,0.152329,-0.035072,-0.13986,0.034468,-0.082273,-0.028201,-0.010615,0.128236,0.008018,0.031179,-0.027126,0.088304,0.002615,0.009365,-0.008221,-0.022035,-0.007728,-0.018101,0.037143,0.00836,0.005317,0.006655,0.0019 28,0.005269
ANE:Russia_MA1_UP.SG:MA1.SG__BC_22370__Cov_71.44%, 0.076261,-0.024373,0.036581,0.187018,-0.069859,0.045738,-0.050057,-0.059305,-0.019021,-0.068339,0.030691,-0.012589,0.016353,-0.044039,0.018051,0.021214,-0.008084,0.00228,-0.003771,0.002751,-0.028075,0.00507,0.013188,-0.007471,0
ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%,0.097888,-0.025388,0.07995,0.22061,-0.081861,0.037371,-0.036427,-0.077304,-0.029247,-0.091665,0.044982,-0.009292,0.024232,-0.075692,0.009636,0.016839,-0.013169,0.005574,0.008799,-0.000125,-0.045794,0.007296,0.034756,0.013014,-0.006107
AFRIKA:Malawi_LSA_15500BP.AG:I19528.AG__BC_13550__ Cov_15.95%,-0.57936,0.050776,0.001508,0.02907,-0.013233,0.000837,0.190124,-0.136379,0.049495,-0.012757,-0.004547,-0.025178,-0.02215,0.005505,0.005293,-0.023336,0.026468,0.119721,-0.029036,-0.012381,-0.01959,-0.00136,0.004683,-0.00253,0.006107
USA:USA_Anzick_realigned.SG:Anzick_realigned.SG__B C_10762__Cov_98.97%,0.05122,-0.298566,0.11653,0.097546,-0.101557,-0.01255,-0.263682,-0.319371,-0.011044,-0.025331,0.005359,-0.003597,0.000743,0.01101,-0.010043,0.006629,0.007432,0.000887,-0.004902,0.003627,-0.004991,0.002102,-0.008504,0.000361,0.002515
USA_Ancient_Beringian.SG:USR1.SG__BC_9475__Cov_99. 95%,0.037562,-0.305674,0.088623,0.087533,-0.086478,-0.018407,-0.129256,-0.158763,-0.012271,-0.025149,0.003085,-0.006744,0.008176,-0.007982,-0.009093,0.001326,0.001173,0.008742,0.006285,0.013 632,-0.009358,0.003957,0.002465,0.003133,0.002275
sample


Target: EHG_N_A70_W30:Russia_YuzhniyOleniyOstrov_Mesolithi c.AG:UOO012.AG__BC_6175__Cov_43.62%_R1a2U4
Distance: 6.9374% / 0.06937351
73.0 ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%
26.4 WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%
0.6 CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%


Target: EHG_S_A70_W30:Russia_Samara_Ekaterinovka_Meso:I236 49__BC_5250__Cov_73.46%
Distance: 7.2936% / 0.07293634
67.8 ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%
28.4 WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%
3.8 CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%

me:
Target:Kruzek_scaled
Distance: 9.0052% / 0.09005163
49.6 AHG:Turkey_Central_Pinarbasi_Epipaleolithic.AG:ZBC _IPB001.B-C0101_Luk2.AG__BC_13461__Cov_77.50%
25.2 ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%
15.4 WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%
9.8 CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%

[vader]

Target: AncestryDNA_scaled
Distance: 6.7278% / 0.06727761
56.2 AHG
14.6 ANE
10.2 WHG_O
9.0 NATUFIAN
7.8 CHG
2.0 IBERO
0.2 AFRIKA


Distance to: AncestryDNA_scaled
0.13865630 AHG:Turkey_Central_Pinarbasi_Epipaleolithic.AG:ZBC _IPB001.B-C0101_Luk2.AG__BC_13461__Cov_77.50%
0.22599893 WHG_G:England_UP_Magdalenian:Goughs__BC_12800__Cov _41.05%
0.24829299 NATUFIAN:Israel_Natufian.AG:I1072.AG__BC_10750__Co v_50.71%
0.32143271 ANE:Russia_MA1_UP.SG:MA1.SG__BC_22370__Cov_71.44%
0.35468841 CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%
0.36824078 ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%
0.37311452 WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%
0.44543484 IBERO:Iberomaurusian:Morocco_Iberomaurusian.AG:TAF 011.AG__BC_12500__Cov_81.38%
0.53022246 USA_Ancient_Beringian.SG:USR1.SG__BC_9475__Cov_99. 95%
0.64241665 USA:USA_Anzick_realigned.SG:Anzick_realigned.SG__B C_10762__Cov_98.97%
0.73991848 AFRIKA:Malawi_LSA_15500BP.AG:I19528.AG__BC_13550__ Cov_15.95%


Target: Wife_scaled
Distance: 3.1975% / 0.03197511
51.4 USA
29.6 AHG
5.8 ANE
5.6 CHG
2.4 WHG_O
2.2 AFRIKA
1.6 NATUFIAN
1.4 IBERO


Distance to: Wife_scaled
0.24047655 USA_Ancient_Beringian.SG:USR1.SG__BC_9475__Cov_99. 95%
0.25498740 ANE:Russia_MA1_UP.SG:MA1.SG__BC_22370__Cov_71.44%
0.29741000 ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%
0.30685845 USA:USA_Anzick_realigned.SG:Anzick_realigned.SG__B C_10762__Cov_98.97%
0.33950405 WHG_G:England_UP_Magdalenian:Goughs__BC_12800__Cov _41.05%
0.39403118 AHG:Turkey_Central_Pinarbasi_Epipaleolithic.AG:ZBC _IPB001.B-C0101_Luk2.AG__BC_13461__Cov_77.50%
0.42493571 NATUFIAN:Israel_Natufian.AG:I1072.AG__BC_10750__Co v_50.71%
0.43896106 CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%
0.50548697 WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%
0.51683525 IBERO:Iberomaurusian:Morocco_Iberomaurusian.AG:TAF 011.AG__BC_12500__Cov_81.38%
0.74687163 AFRIKA:Malawi_LSA_15500BP.AG:I19528.AG__BC_13550__ Cov_15.95%

[celticdragongod]

I'm not sure if I understood the question correctly, but could it be something like this?;)
cord:
WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%,0.121791,0.114755,0.190 446,0.184434,0.15449,0.061914,0.020916,0.042691,0. 095717,0.021504,-0.017376,-0.014837,0.021704,-0.007707,0.051845,0.066427,0.005867,0.006081,-0.007668,0.055527,0.100198,0.013725,-0.045232,-0.172193,0.020357
WHG_G:England_UP_Magdalenian:Goughs__BC_12800__Cov _41.05%,0.0774,0.037575,0.06675,0.114666,0.078168, 0.028168,-0.00235,0.017999,0.070765,0.029158,-0.008769,-0.006145,0.00773,-0.01734,0.040037,0.025722,0.007562,-0.002534,-0.004525,0.042145,0.057149,0.010881,-0.026129,-0.104352,0.008742
CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%,0.081953,0.09546,-0.101445,-0.002261,-0.09848,0.015339,0.032666,-0.004154,-0.159529,-0.105332,-0.001137,0.030273,-0.073141,-0.000275,0.057274,-0.011005,0.08814,0.003927,-0.03595,0.060154,0.07075,-0.020155,-0.005669,-0.04832,-0.001197
AHG:Turkey_Central_Pinarbasi_Epipaleolithic.AG:ZBC _IPB001.B-C0101_Luk2.AG__BC_13461__Cov_77.50%,0.114961,0.165 531,0.032809,-0.081073,0.070782,-0.039602,-0.00235,-0.000462,0.046427,0.080366,0.005684,0.008093,-0.022448,-0.011423,-0.044923,-0.004773,0.043939,-0.00114,0.010182,-0.004752,-0.013227,0.00507,-0.0053,-0.010363,-0.007664
IBERO:Iberomaurusian:Morocco_Iberomaurusian.AG:TAF 011.AG__BC_12500__Cov_81.38%,-0.195776,0.08632,-0.020365,-0.091086,0.026159,-0.059125,-0.073793,0.020307,0.165255,0.002734,0.019487,-0.042712,0.087412,-0.054636,0.06596,-0.037655,0.009127,-0.072466,-0.149581,0.034266,-0.044297,-0.130454,0.071484,-0.013134,0.021435
NATUFIAN:Israel_Natufian.AG:I1072.AG__BC_10750__Co v_50.71%,0.025041,0.152329,-0.035072,-0.13986,0.034468,-0.082273,-0.028201,-0.010615,0.128236,0.008018,0.031179,-0.027126,0.088304,0.002615,0.009365,-0.008221,-0.022035,-0.007728,-0.018101,0.037143,0.00836,0.005317,0.006655,0.0019 28,0.005269
ANE:Russia_MA1_UP.SG:MA1.SG__BC_22370__Cov_71.44%, 0.076261,-0.024373,0.036581,0.187018,-0.069859,0.045738,-0.050057,-0.059305,-0.019021,-0.068339,0.030691,-0.012589,0.016353,-0.044039,0.018051,0.021214,-0.008084,0.00228,-0.003771,0.002751,-0.028075,0.00507,0.013188,-0.007471,0
ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%,0.097888,-0.025388,0.07995,0.22061,-0.081861,0.037371,-0.036427,-0.077304,-0.029247,-0.091665,0.044982,-0.009292,0.024232,-0.075692,0.009636,0.016839,-0.013169,0.005574,0.008799,-0.000125,-0.045794,0.007296,0.034756,0.013014,-0.006107
AFRIKA:Malawi_LSA_15500BP.AG:I19528.AG__BC_13550__ Cov_15.95%,-0.57936,0.050776,0.001508,0.02907,-0.013233,0.000837,0.190124,-0.136379,0.049495,-0.012757,-0.004547,-0.025178,-0.02215,0.005505,0.005293,-0.023336,0.026468,0.119721,-0.029036,-0.012381,-0.01959,-0.00136,0.004683,-0.00253,0.006107
USA:USA_Anzick_realigned.SG:Anzick_realigned.SG__B C_10762__Cov_98.97%,0.05122,-0.298566,0.11653,0.097546,-0.101557,-0.01255,-0.263682,-0.319371,-0.011044,-0.025331,0.005359,-0.003597,0.000743,0.01101,-0.010043,0.006629,0.007432,0.000887,-0.004902,0.003627,-0.004991,0.002102,-0.008504,0.000361,0.002515
USA_Ancient_Beringian.SG:USR1.SG__BC_9475__Cov_99. 95%,0.037562,-0.305674,0.088623,0.087533,-0.086478,-0.018407,-0.129256,-0.158763,-0.012271,-0.025149,0.003085,-0.006744,0.008176,-0.007982,-0.009093,0.001326,0.001173,0.008742,0.006285,0.013 632,-0.009358,0.003957,0.002465,0.003133,0.002275
sample


Target: EHG_N_A70_W30:Russia_YuzhniyOleniyOstrov_Mesolithi c.AG:UOO012.AG__BC_6175__Cov_43.62%_R1a2U4
Distance: 6.9374% / 0.06937351
73.0 ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%
26.4 WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%
0.6 CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%


Target: EHG_S_A70_W30:Russia_Samara_Ekaterinovka_Meso:I236 49__BC_5250__Cov_73.46%
Distance: 7.2936% / 0.07293634
67.8 ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%
28.4 WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%
3.8 CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%

me:
Target:Kruzek_scaled
Distance: 9.0052% / 0.09005163
49.6 AHG:Turkey_Central_Pinarbasi_Epipaleolithic.AG:ZBC _IPB001.B-C0101_Luk2.AG__BC_13461__Cov_77.50%
25.2 ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%
15.4 WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%
9.8 CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%

Distance to: CDG_scaled
0.20181586 AHG:Turkey_Central_Pinarbasi_Epipaleolithic.AG:ZBC _IPB001.B-C0101_Luk2.AG__BC_13461__Cov_77.50%
0.21634034 WHG_G:England_UP_Magdalenian:Goughs__BC_12800__Cov _41.05%
0.28264907 ANE:Russia_MA1_UP.SG:MA1.SG__BC_22370__Cov_71.44%
0.31502055 NATUFIAN:Israel_Natufian.AG:I1072.AG__BC_10750__Co v_50.71%
0.32027393 ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%
0.34633919 WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%
0.35149514 CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%
0.50006534 IBERO:Iberomaurusian:Morocco_Iberomaurusian.AG:TAF 011.AG__BC_12500__Cov_81.38%
0.52177552 USA_Ancient_Beringian.SG:USR1.SG__BC_9475__Cov_99. 95%
0.63628151 USA:USA_Anzick_realigned.SG:Anzick_realigned.SG__B C_10762__Cov_98.97%
0.77602073 AFRIKA:Malawi_LSA_15500BP.AG:I19528.AG__BC_13550__ Cov_15.95%

Target: CDG_scaled
Distance: 9.3792% / 0.09379176
51.2 AHG:Turkey_Central_Pinarbasi_Epipaleolithic.AG:ZBC _IPB001.B-C0101_Luk2.AG__BC_13461__Cov_77.50%
25.2 ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%
15.0 WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%
8.6 CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%

[ScandinavianCelt]

The go-to WHG-Steppe-EEF:

France_Rochedane:Rochedane,0.117238,0.112724,0.170 836,0.191217,0.149874,0.04769,0.010575,0.035306,0. 083241,0.034989,-0.013641,-0.020082,0.008622,0.00523,0.054831,0.066427,0.0087 36,0.014569,-0.021369,0.051775,0.094084,0.018672,-0.055092,-0.168217,0.010658
Russia_Samara_EBA_Yamnaya,0.1258378,0.0892539,0.04 29079,0.1154556,-0.0278684,0.0446846,0.0044911,-0.0029487,-0.0548579,-0.0729957,0.0018583,0.0003497,-0.0016518,-0.0236099,0.0372629,0.015734,1.00E-07,-0.001478,-0.001704,0.0125059,-0.0031197,0.001374,0.0112292,0.0184362,-0.0045237
Turkey_Barcin_LN.SG,0.112685,0.182795,0.010936,-0.10013,0.055087,-0.046854,-0.00235,-0.002769,0.046836,0.081642,0.008607,0.010191,-0.015758,0.006193,-0.040173,-0.020021,0.00352,0.000507,0.011816,-0.014132,-0.008735,0.006306,-0.010969,-0.00494,-0.00467


Target: SC_Ave_IllustrativeDNA
Distance: 3.8097% / 0.03809678
53.4 Russia_Samara_EBA_Yamnaya
35.4 Turkey_Barcin_LN.SG
11.2 France_Rochedane

[Wend-Kruzek]

EHG contained approx. 30% WHG and even CHG. These are the coordinates for distinguishing between them. This is how we find out how much. in steppe

[Croatian Legend]

Ive done qpadm from Andrei (user here), gedmatch and illustrative dna and each show very different results.

Forget G25 Vahaduo for Ancestral modeling! Davisski is pretty biased towards his "east european steppe thingy" tries to present Poles and such as over steppe low EEF. Which is wrong they are actually around 40 to 45% eef. You as a Kosovar would get high eef but looking at offical scientific studies people from the balkans carry high amounts of chg and chg steppe ancesrty. Which tools like G25 cannot differentiate and because davsiki is hiding his methodes.

Anyway the go to method is QPADM if you really wanna see your Ancestral breakdown. But it has a really high learning curve, so you have to get into the matter and understand how to model correctly.


G25 is only good for generall clustering so you can see with which populations you are close to generally, that is about it!
Everything else is just garbage as explaned before.

[Wend-Kruzek]

Forget G25 Vahaduo for Ancestral modeling! Davisski is pretty biased towards his "east european steppe thingy" tries to present Poles and such as over steppe low EEF. Which is wrong they are actually around 40 to 45% eef. You as a Kosovar would get high eef but looking at offical scientific studies people from the balkans carry high amounts of chg and chg steppe ancesrty. Which tools like G25 cannot differentiate and because davsiki is hiding his methodes.

Anyway the go to method is QPADM if you really wanna see your Ancestral breakdown. But it has a really high learning curve, so you have to get into the matter and understand how to model correctly.


G25 is only good for generall clustering so you can see with which populations you are close to generally, that is about it!
Everything else is just garbage as explaned before.

Yes, I agree, working with Admix is complicated and has other pitfalls, such as sample selection and quantity, etc.
There is a lot of information about this on the internet. G25 is more accessible to non-academic users.
But I don't know what that has to do with Davidski. Let's remember Dodecad and Eurogenes.
And it will never be 100%.

And how do we know how much EEF has CuriousUser in the G25 system?

He didn't publish it!

And the question was WHG.

[Wend-Kruzek]

For your information, sir Croatian Legend
These are the ANFs according to my model, TA users , Albania and North Macedonia. near Kosovo

Target: Balkanic:Macedonian:Vasile(North_Macedonian)
Distance: 4.4639% / 0.04463907
52.6 ANF_94_Nat_4_CHG_2
20.4 EHG_S_A70_W30
10.2 CHG
7.8 ANF_95_CHG_5
6.2 Iran_N
1.8 Natufian


Target: Balkanic:Macedonian:Vojnik(Nth_Macedonian)
Distance: 4.1123% / 0.04112302
56.2 ANF_94_Nat_4_CHG_2
22.6 EHG_S_A70_W30
7.6 CHG
7.4 Iran_N
2.2 Baltic_HG_W80_A20
2.0 ANF_95_CHG_5
2.0 Natufian


Target: Balkanic:Macedonian:JohnnyP(North_Macedonian)
Distance: 4.6246% / 0.04624606
45.8 ANF_94_Nat_4_CHG_2
14.4 CHG
14.0 EHG_S_A70_W30
10.0 ANF_95_CHG_5
8.4 EHG_N_A70_W30
6.2 Baltic_HG_W80_A20
1.2 Natufian
1.0 Baltic_HG_W80_A20


Target: Balkanic:Albanian:MagnusDark(Albanian)
Distance: 4.1148% / 0.04114844
48.0 ANF_95_CHG_5
21.6 ANF_94_Nat_4_CHG_2
15.2 EHG_S_A70_W30
13.4 CHG
1.8 Iran_N


Target: Balkanic:Albanian:Hulu(Albanian)
Distance: 2.9239% / 0.02923873
33.0 ANF_95_CHG_5
31.2 ANF_94_Nat_4_CHG_2
14.6 EHG_S_A70_W30
9.4 CHG
6.2 Iran_N
5.6 Natufian


Target: Balkanic:Albanian:Hawk(Albanian)
Distance: 4.1558% / 0.04155830
56.0 ANF_94_Nat_4_CHG_2
19.2 EHG_S_A70_W30
15.6 CHG
6.4 ANF_95_CHG_5
2.0 Natufian
0.8 Iran_N

And me
Target: Kruzek_scaled
Distance: 5.3338% / 0.05333771
47.2 ANF_94_Nat_4_CHG_2
18.4 EHG_N_A70_W30
12.6 Baltic_HG_W80_A20
11.2 EHG_S_A70_W30
10.6 CHG

[Gaditanian]

The go-to WHG-Steppe-EEF:

France_Rochedane:Rochedane,0.117238,0.112724,0.170 836,0.191217,0.149874,0.04769,0.010575,0.035306,0. 083241,0.034989,-0.013641,-0.020082,0.008622,0.00523,0.054831,0.066427,0.0087 36,0.014569,-0.021369,0.051775,0.094084,0.018672,-0.055092,-0.168217,0.010658
Russia_Samara_EBA_Yamnaya,0.1258378,0.0892539,0.04 29079,0.1154556,-0.0278684,0.0446846,0.0044911,-0.0029487,-0.0548579,-0.0729957,0.0018583,0.0003497,-0.0016518,-0.0236099,0.0372629,0.015734,1.00E-07,-0.001478,-0.001704,0.0125059,-0.0031197,0.001374,0.0112292,0.0184362,-0.0045237
Turkey_Barcin_LN.SG,0.112685,0.182795,0.010936,-0.10013,0.055087,-0.046854,-0.00235,-0.002769,0.046836,0.081642,0.008607,0.010191,-0.015758,0.006193,-0.040173,-0.020021,0.00352,0.000507,0.011816,-0.014132,-0.008735,0.006306,-0.010969,-0.00494,-0.00467


Target: SC_Ave_IllustrativeDNA
Distance: 3.8097% / 0.03809678
53.4 Russia_Samara_EBA_Yamnaya
35.4 Turkey_Barcin_LN.SG
11.2 France_Rochedane

Target: Gaditanian
Distance: 3.9771% / 0.03977126
58.6 Turkey_Barcin_LN.SG
34.2 Russia_Samara_EBA_Yamnaya
7.2 France_Rochedane:Rochedane

[Opie]

Target: AncestryDNA_scaled
Distance: 6.7278% / 0.06727761
56.2 AHG
14.6 ANE
10.2 WHG_O
9.0 NATUFIAN
7.8 CHG
2.0 IBERO
0.2 AFRIKA


Distance to: AncestryDNA_scaled
0.13865630 AHG:Turkey_Central_Pinarbasi_Epipaleolithic.AG:ZBC _IPB001.B-C0101_Luk2.AG__BC_13461__Cov_77.50%
0.22599893 WHG_G:England_UP_Magdalenian:Goughs__BC_12800__Cov _41.05%
0.24829299 NATUFIAN:Israel_Natufian.AG:I1072.AG__BC_10750__Co v_50.71%
0.32143271 ANE:Russia_MA1_UP.SG:MA1.SG__BC_22370__Cov_71.44%
0.35468841 CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%
0.36824078 ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%
0.37311452 WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%
0.44543484 IBERO:Iberomaurusian:Morocco_Iberomaurusian.AG:TAF 011.AG__BC_12500__Cov_81.38%
0.53022246 USA_Ancient_Beringian.SG:USR1.SG__BC_9475__Cov_99. 95%
0.64241665 USA:USA_Anzick_realigned.SG:Anzick_realigned.SG__B C_10762__Cov_98.97%
0.73991848 AFRIKA:Malawi_LSA_15500BP.AG:I19528.AG__BC_13550__ Cov_15.95%


Target: Wife_scaled
Distance: 3.1975% / 0.03197511
51.4 USA
29.6 AHG
5.8 ANE
5.6 CHG
2.4 WHG_O
2.2 AFRIKA
1.6 NATUFIAN
1.4 IBERO


Distance to: Wife_scaled
0.24047655 USA_Ancient_Beringian.SG:USR1.SG__BC_9475__Cov_99. 95%
0.25498740 ANE:Russia_MA1_UP.SG:MA1.SG__BC_22370__Cov_71.44%
0.29741000 ANE:Russia_AfontovaGora3_UP.AG:AfontovaGora3_d.AG_ _BC_16086__Cov_8.08%
0.30685845 USA:USA_Anzick_realigned.SG:Anzick_realigned.SG__B C_10762__Cov_98.97%
0.33950405 WHG_G:England_UP_Magdalenian:Goughs__BC_12800__Cov _41.05%
0.39403118 AHG:Turkey_Central_Pinarbasi_Epipaleolithic.AG:ZBC _IPB001.B-C0101_Luk2.AG__BC_13461__Cov_77.50%
0.42493571 NATUFIAN:Israel_Natufian.AG:I1072.AG__BC_10750__Co v_50.71%
0.43896106 CHG:Georgia_Satsurblia_LateUP.SG:SATP.SG__BC_11332 __Cov_70.37%
0.50548697 WHG_O:Italy_Epigravettian.AG.BY.AA:Villabruna.AG.B Y.AA__BC_12071__Cov_75.65%
0.51683525 IBERO:Iberomaurusian:Morocco_Iberomaurusian.AG:TAF 011.AG__BC_12500__Cov_81.38%
0.74687163 AFRIKA:Malawi_LSA_15500BP.AG:I19528.AG__BC_13550__ Cov_15.95%

Your Natufian seems inflated.

[vader]

Your Natufian seems inflated.

I get less with my merged coords (more snps):

Target: Me_scaled
Distance: 5.3712% / 0.05371163
59.2 AHG
14.4 ANE
10.4 WHG_O
8.6 CHG
5.6 NATUFIAN
1.8 IBERO

[Wend-Kruzek]

If we want WHG in the steppe, then Yamnaya WHG also has it.;)

[Croatian Legend]

Yes, I agree, working with Admix is complicated and has other pitfalls, such as sample selection and quantity, etc.
There is a lot of information about this on the internet. G25 is more accessible to non-academic users.
But I don't know what that has to do with Davidski. Let's remember Dodecad and Eurogenes.
And it will never be 100%.

And how do we know how much EEF has CuriousUser in the G25 system?

He didn't publish it!

And the question was WHG.

Admix/ Qpadm has no pitfalls when it comes to finding out your actual ancestral components ala chg,ehg, eef etc.. You just have to know what to do!

Yes i mean davidski when i say G25 vahaduo is rubbish! He has a clear agenda a polish/northeat european one. Since he creates the g25 coords he can manipulate and chamge parameters. Again those amateur attempts of him trying to show the poles as some Steppe heavy low eef is complete bulllshit! since they actually in qpadm runs have 45 to 50 EEF! And when it comes to Balkans or dinaric populations , offical scientific papers proof that Dinaric Croats actually onl have 25 - 35% max EEF which G25/VAHADUO cannot differentiate it only gives you higher EEF. Which actual sceintific papers show otherwise!

That is why i said G25 Vahaduo is rubbish if you wanna find out your Ancetral proportions. Qpadm is the way to go but you have to know what to do!
Vahaduo is only good for GENERAL CLUSTERING but it doesn't show the real picture!

Take a look at my results and you will see what i mean. There is a QPADM Thread.

Kind Regards!

[Wend-Kruzek]

Admix/ Qpadm has no pitfalls when it comes to finding out your actual ancestral components ala chg,ehg, eef etc.. You just have to know what to do!

Yes i mean davidski when i say G25 vahaduo is rubbish! He has a clear agenda a polish/northeat european one. Since he creates the g25 coords he can manipulate and chamge parameters. Again those amateur attempts of him trying to show the poles as some Steppe heavy low eef is complete bulllshit! since they actually in qpadm runs have 45 to 50 EEF! And when it comes to Balkans or dinaric populations , offical scientific papers proof that Dinaric Croats actually onl have 25 - 35% max EEF which G25/VAHADUO cannot differentiate it only gives you higher EEF. Which actual sceintific papers show otherwise!

That is why i said G25 Vahaduo is rubbish if you wanna find out your Ancetral proportions. Qpadm is the way to go but you have to know what to do!
Vahaduo is only good for GENERAL CLUSTERING but it doesn't show the real picture!

Take a look at my results and you will see what i mean. There is a QPADM Thread.

Kind Regards!

I don't know what you're talking about.
You probably didn't read it. I said that I agree with you, although not on everything.
I sent results that exceed your 50% EEF/ANF. And define Dinaric Croats.
I assume Dinaric Slavic. According to your Y-DNA, you are much further north.

Zdravo