Ancient calculator - F edition

[Jana]

Expanded and changed a bit Davidski gold standard calc, try it on.


TUR_Catalhoyuk_N_Ceramic,0.0967497,0.1777177,-0.0084223,-0.1192957,0.0318003,-0.0573583,-0.0014883,-0.0179993,0.0212023,0.0619603,0.0145607,0.0041963,-0.016551,0.0077527,-0.0313967,-0.027932,0.003955,0.0011403,0.0198183,-0.0136733,-0.011563,0.008738,-0.0043547,0.0062257,-0.0074643
RUS_Karelia_HG,0.1236877,0.0321583,0.129855,0.2101 663,-0.010361,0.0571723,-0.0196627,-0.0234603,-0.002659,-0.0860153,0.0182957,-0.0184337,0.0333497,-0.039085,0.018865,0.0295237,-0.0148203,0.0031673,-0.0044413,0.012506,-0.007487,0.0169817,0.0093667,-0.021007,-0.0103383
ITA_Villabruna,0.121791,0.114755,0.18592,0.184111, 0.156337,0.060798,0.020211,0.035998,0.092445,0.018 041,-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
GEO_CHG,0.091058,0.102568,-0.083344,-0.00323,-0.08617,0.020638,0.024911,-0.001846,-0.128236,-0.074717,-0.006333,0.023979,-0.054856,0.004404,0.026601,-0.03275,0.02386,-0.013429,-0.022249,0.034767,0.033815,-0.007048,0.006532,-0.025787,-0.002036
BRA_LapaDoSanto_9600BP,0.050765,-0.3095332,0.1206032,0.098515,-0.1156522,-0.017626,-0.284645,-0.3400012,-0.0136212,-0.0184422,0.002241,-0.003267,0.0004162,0.017478,-0.0065688,0.0064438,0.006493,-0.001267,0.0026898,0.003727,-0.0010482,0.007963,-0.002662,-0.0043378,0.001413
Dinka,-0.577083,0.050776,-0.000377,-0.00751,-0.005386,-0.001673,-0.017685,0.020422,0.081145,-0.09695,-0.02107,0.022742,-0.038317,-0.00117,0.010145,-0.021347,0.018612,-0.009438,0.024197,-0.024168,0.002402,0.003308,0.001479,0.000904,0.009 7
ETH_4500BP,-0.511066,0.043668,0.000754,0.000969,-0.00277,-0.011435,0.050997,-0.045229,0.089172,-0.087838,-0.012991,-0.002997,-0.031219,0.000688,0.02158,-0.029965,0.027772,0.039273,0.00176,-0.009004,0.000374,0.006183,-0.003451,-0.00241,-0.000838
IRN_Ganj_Dareh_N,0.0430252,0.0664158,-0.1550722,0.0047158,-0.122669,0.0235384,0.017109,-0.0011998,-0.082546,-0.0544158,-0.0028258,-0.0016186,0.0044896,-0.0062756,0.0316498,0.0561384,-0.0054242,0.0068664,0.0136508,-0.0334162,0.00856,-0.028836,-0.0110678,-0.039331,0.0222254
IRN_Shahr_I_Sokhta_BA2_I8728,0.033009,-0.081242,-0.184789,0.125325,-0.09848,0.06777,0.002585,0.007615,0.03661,0.02606,-0.002273,0.010041,-0.005798,0.006744,0.004479,0.001326,0.008605,0.001 267,0.00352,0.001376,0.003743,-0.004946,-0.00037,-0.00253,-0.007305
Jarawa,-0.021982,-0.243028,-0.132416,0.098697,0.032372,-0.004584,-0.01012,0.006505,0.054697,0.023805,0.022806,0.0027 35,-0.004153,0.010356,-0.010807,-0.011444,0.009453,-0.001908,-0.006222,0.028678,-0.00464,0.011136,-0.01234,0.002267,0.004985
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
Yoruba,-0.630062,0.062501,0.022113,0.016708,0.000503,0.012 474,-0.044417,0.047767,-0.048881,0.032769,0.004621,0.00079,0.023056,0.0009 51,0.012523,-0.009607,0.007076,0.000449,0.006022,-0.00299,0.001554,0.002316,-0.001759,-0.000471,-0.000425
CHN_Yellow_River_LN,0.0166466,-0.4503874,0.0109365,-0.0657709,0.0545101,0.0217886,0.0037894,0.0012404,-0.0097149,0.0040092,-0.0851524,-0.0100032,0.0123945,-0.0059179,-0.0088896,-0.000895,0.001483,-0.0003801,-0.0048392,-0.0075191,0.0172975,0.007543,0.0128639,-0.0006476,0.0073496
Levant_Natufian_EpiP,0.0267485,0.143697,-0.030924,-0.138245,0.034468,-0.0805995,-0.0179785,-0.0201915,0.112693,0.0056495,0.0286615,-0.02248,0.0766345,-0.001239,0.0138435,0.006033,-0.0107565,-0.0005705,-0.0194205,0.0322655,0.003556,-0.000804,-0.0025885,-0.0037355,0.004371

[Beowulf]

Target: ivan
Distance: 4.7434% / 0.04743363
62.2 TUR_Catalhoyuk_N_Ceramic
17.6 RUS_Karelia_HG
14.8 ITA_Villabruna
3.6 GEO_CHG
1.0 MAR_Taforalt
0.8 IRN_Shahr_I_Sokhta_BA2_I8728

weird results i don't usually get this and the distance for me is very high for this typeof calcs i usually get a distance of 2 or 1.9

[Jana]

Target: ivan
Distance: 4.7434% / 0.04743363
62.2 TUR_Catalhoyuk_N_Ceramic
17.6 RUS_Karelia_HG
14.8 ITA_Villabruna
3.6 GEO_CHG
1.0 MAR_Taforalt
0.8 IRN_Shahr_I_Sokhta_BA2_I8728

weird results i don't usually get this and the distance for me is very high for this typeof calcs i usually get a distance of 2 or 1.9

Distance is irrelevant. Those are extremely old componments, as pure as possible, and being close to them would be weird.

[Beowulf]

Distance is irrelevant. Those are extremely old componments, as pure as possible, and being close to them would be weird.

this is what i get in the original one:

Target: ivan
Distance: 3.0590% / 0.03058987
56.0 TUR_Barcin_N
29.0 Yamnaya_RUS_Samara
11.4 WHG
3.6 MAR_Taforalt

is very different

and this one with corded ware:

Target: ivan
Distance: 1.5294% / 0.01529393
37.8 Corded_Ware_Early(POL_CZE_BALTIC_GER)
32.4 Western_EEF(ESP_FRA_ENG)
17.2 Eastern_EEF(DEU_HUN_AUT)
5.0 Levant_PPNB
3.4 MAR_Taforalt
2.6 Maykop_Kura_Araxes(RUS_ARM)
1.6 Balto_Slavic_HG_Simulated

[Jana]

I have highest WHG plus CHG and lowest EHG out of all Croats tested I have real coords of:

https://i.imgur.com/zwVqlht.png

[Jana]

this is what i get in the original one:

Target: ivan
Distance: 3.0590% / 0.03058987
56.0 TUR_Barcin_N
29.0 Yamnaya_RUS_Samara
11.4 WHG
3.6 MAR_Taforalt

is very different

and this one with corded ware:

Target: ivan
Distance: 1.5294% / 0.01529393
37.8 Corded_Ware_Early(POL_CZE_BALTIC_GER)
32.4 Western_EEF(ESP_FRA_ENG)
17.2 Eastern_EEF(DEU_HUN_AUT)
5.0 Levant_PPNB
3.4 MAR_Taforalt
2.6 Maykop_Kura_Araxes(RUS_ARM)
1.6 Balto_Slavic_HG_Simulated

Your point being? It's a different calc, I don't use Yamnaya, use different EEF, WHG samples and several other stuff.

[Beowulf]

Your point being? It's a different calc, I don't use Yamnaya, use different EEF, WHG samples and several other stuff.

Ah ok then RUS_Karelia_HG is not a yamnaya? i thought it was a yamnaya sample, sorry for my ignorance

[Jana]

Ah ok then RUS_Karelia_HG is not a yamnaya? i thought it was a yamnaya sample, sorry for my ignorance

No problem. Karelia HG is Eastern Hunter Gatherer. Yamnaya was part EHG. There is another EHG sample from Samara (HG), but I ran some tests and Karelian one came out purer.

[gixajo]

Y...f.

Target: gixajo_scaled
Distance: 5.3072% / 0.05307233
60.6 TUR_Catalhoyuk_N_Ceramic
17.6 RUS_Karelia_HG
17.4 ITA_Villabruna
4.2 GEO_CHG
0.2 IRN_Shahr_I_Sokhta_BA2_I8728

Target: gixajo_dad_scaled
Distance: 4.9946% / 0.04994610
65.2 TUR_Catalhoyuk_N_Ceramic
18.4 RUS_Karelia_HG
13.4 ITA_Villabruna
1.2 GEO_CHG
1.2 MAR_Taforalt
0.6 IRN_Shahr_I_Sokhta_BA2_I8728

Target: gixajo_mom_scaled
Distance: 5.8380% / 0.05838007
59.8 TUR_Catalhoyuk_N_Ceramic
20.0 RUS_Karelia_HG
17.8 ITA_Villabruna
2.4 GEO_CHG

[gixajo]

Ah ok then RUS_Karelia_HG is not a yamnaya? i thought it was a yamnaya sample, sorry for my ignorance

It´s just a different point of view, we all are used to the ancient standard model, but there are many options.

In the end it is something similar, a proto-Neolithic from Anatolia, the traditional WHG and the novelty of some components prior to the Yamanya...etc with which they could be modeled.

[Jana]

^^^^you and your mom have enormously high WHG, higher than Balts. Must be from Basque blood. In this calc Basques score highest WHG, higher than their EHG scores!

[Jana]

https://i.imgur.com/nJ75PxP.png

[Jana]

Finns

https://i.imgur.com/gtj6bDN.png

[Albannach]

Target: Albannach_scaled
Distance: 7.6383% / 0.07638277
44.4 TUR_Catalhoyuk_N_Ceramic
34.6 RUS_Karelia_HG
12.8 ITA_Villabruna
8.2 GEO_CHG

Distance to: Albannach_scaled
0.23388020 TUR_Catalhoyuk_N_Ceramic
0.24585741 RUS_Karelia_HG
0.27429440 GEO_CHG
0.30312443 Levant_Natufian_EpiP
0.33184709 IRN_Ganj_Dareh_N
0.33615338 ITA_Villabruna
0.38791497 IRN_Shahr_I_Sokhta_BA2_I8728
0.46612876 Jarawa
0.48480179 MAR_Taforalt
0.62068164 CHN_Yellow_River_LN
0.66688956 BRA_LapaDoSanto_9600BP
0.67713422 ETH_4500BP
0.73712546 Dinka
0.77793902 Yoruba

[gixajo]

^^^^you and your mom have enormously high WHG, higher than Balts. Must be from Basque blood. In this calc Basques score highest WHG, higher than their EHG scores!

Yes, comparing it with Davidski's ancient standard, we get a lot more than usual and my mother´s and my Mar_Taforalt disappears and practically disappears in my father´s case.

But well, I guess Balts have a EHG+WHG quite higher than any of us (also due to a higher "Yamanya").

[Jana]

Yes, comparing it with Davidski's ancient standard, we get a lot more than usual and my mother and my Mar_Taforalt disappears and practically disappears in my father´s case.

But well, I guess Balts have a EHG+WHG quite higher than any of us (also due to a higher "Yamanya").

They have highest Euro HG overall yes, both combined, but lower WHG than Basques. Also interesting some Basques score zero CHG/Caucasus.

[Jingle Bell]

Target: JingleBell_scaled
Distance: 2.0681% / 0.02068139
42.6 Yoruba
31.2 TUR_Catalhoyuk_N_Ceramic
10.0 RUS_Karelia_HG
6.6 ITA_Villabruna
4.0 IRN_Ganj_Dareh_N
3.0 MAR_Taforalt
1.4 ETH_4500BP
1.2 BRA_LapaDoSanto_9600BP

My Native seens very low, i think EHG is eating part of my Native ANE/Ancient East Asian

[Gallop]

Target: Gallop_scaled
Distance: 4.6419% / 0.04641895
56.6 TUR_Catalhoyuk_N_Ceramic
18.0 ITA_Villabruna
15.4 RUS_Karelia_HG
7.6 GEO_CHG
2.4 MAR_Taforalt

Target: Father_scaled
Distance: 4.7805% / 0.04780454
58.0 TUR_Catalhoyuk_N_Ceramic
17.2 RUS_Karelia_HG
16.6 ITA_Villabruna
5.2 GEO_CHG
3.0 MAR_Taforalt

[Danjojo]

Target: Danjojo
Distance: 5.9937% / 0.05993652
47.2 TUR_Catalhoyuk_N_Ceramic
33.8 RUS_Karelia_HG
13.0 ITA_Villabruna
6.0 GEO_CHG

[gixajo]

They have highest Euro HG overall yes, both combined, but lower WHG than Basques. Also interesting some Basques score zero CHG/Caucasus.

Probably you have already modelled Yamnaya with your calculator, these results are quite expectable.

Target: Yamnaya_RUS_Samara
Distance: 5.9068% / 0.05906806
57.2 RUS_Karelia_HG
36.0 GEO_CHG
6.8 TUR_Catalhoyuk_N_Ceramic


I suppose that it happens to you too and that it will be something common in those of us who make or use these G25 calculators, that seeing the references, we can imagine the results before even using vahaduo.:picard1:

[Jana]

^^^Yep, I think so, EHG has loads of Asian/Amerindian like stuff. :p

some other people from my collection:

Target: Stears_scaled (Hungarian)
Distance: 0.0526% / 0.05259747

46.8 TUR_Catalhoyuk_N_Ceramic
33.5 RUS_Karelia_HG
11.3 GEO_CHG
8.4 ITA_Villabruna

Target: Feiichy_Aunt_scaled (German+Serb+Greek)
Distance: 0.0621% / 0.06210227

54.2 TUR_Catalhoyuk_N_Ceramic
27.5 RUS_Karelia_HG
10.3 ITA_Villabruna
8.0 GEO_CHG

Target: D_scaled (Croat+Albanian)
Distance: 0.0574% / 0.05739381

58.3 TUR_Catalhoyuk_N_Ceramic
28.1 RUS_Karelia_HG
7.6 GEO_CHG
6.0 ITA_Villabruna

Target: N_scaled (Croat+Bangladeshi)
Distance: 0.0378% / 0.03782536

37.4 IRN_Shahr_I_Sokhta_BA2_I8728
29.9 TUR_Catalhoyuk_N_Ceramic
16.4 RUS_Karelia_HG
7.9 CHN_Yellow_River_LN
6.0 ITA_Villabruna
1.8 GEO_CHG
0.6 Jarawa

[Jana]

Probably you have already modelled Yamnaya with your calculator, these results are quite expectable.

Target: Yamnaya_RUS_Samara
Distance: 5.9068% / 0.05906806
57.2 RUS_Karelia_HG
36.0 GEO_CHG
6.8 TUR_Catalhoyuk_N_Ceramic

I suppose that it happens to you too and that it will be something common in those of us who make or use these G25 calculators, that seeing the references, we can imagine the results before even using vahaduo.:picard1:

Yeah :p Nice modeling for Yamnaya, makes sense.

[gixajo]

https://i.imgur.com/nJ75PxP.png

The results most similar to those of my mother are precisely those of the reference Basque_Araba (Álava) or even Central Nabarre, so quite accurate.:thumb001:

[Dušan]

Target: Dušan_g25
Distance: 5.5275% / 0.05527451
52.6 TUR_Catalhoyuk_N_Ceramic
32.2 RUS_Karelia_HG
8.4 ITA_Villabruna
6.8 GEO_CHG


:noidea:

[Jana]

Even my half Albanian friend has higher EHG than me lol :p


Target: Dušan_g25
Distance: 5.5275% / 0.05527451
52.6 TUR_Catalhoyuk_N_Ceramic
32.2 RUS_Karelia_HG
8.4 ITA_Villabruna
6.8 GEO_CHG


:noidea:

Very high EHG, these are simulated coords iirc but you would probably get similarly high EHG with real ones too.

[J. Ketch]

Target: Creoda_scaled
Distance: 7.5698% / 0.07569836
45.6 TUR_Catalhoyuk_N_Ceramic
34.4 RUS_Karelia_HG
13.4 ITA_Villabruna
6.6 GEO_CHG

<50% European, I want a second opinion :cry2

[Defcon2]

Target: Defcon2_scaled
Distance: 5.6099% / 0.05609916
62.2 TUR_Catalhoyuk_N_Ceramic
18.0 RUS_Karelia_HG
12.6 ITA_Villabruna
4.8 IRN_Shahr_I_Sokhta_BA2_I8728
2.4 MAR_Taforalt

[gixajo]

Target: Defcon2_scaled
t

¿Cómo va eso, catalufo? Ya apenas nos leemos.

Feliz año nuevo y todo eso, por cierto.

[Jana]

Target: Defcon2_scaled
Distance: 5.6099% / 0.05609916
62.2 TUR_Catalhoyuk_N_Ceramic
18.0 RUS_Karelia_HG
12.6 ITA_Villabruna
4.8 IRN_Shahr_I_Sokhta_BA2_I8728
2.4 MAR_Taforalt

Do you have distant Gitano/Gypsy ancestor? IRN_Shahr_I_Sokhta_BA2_I8728 is a Dravidian like proxy.

[HelloGuys]

Target: HelloGuys_scaled
Distance: 3.4634% / 0.03463384
34.8 BRA_LapaDoSanto_9600BP
33.4 TUR_Catalhoyuk_N_Ceramic
9.0 ITA_Villabruna
8.2 RUS_Karelia_HG
7.0 IRN_Ganj_Dareh_N
4.6 MAR_Taforalt
1.4 Yoruba
1.0 IRN_Shahr_I_Sokhta_BA2_I8728
0.6 GEO_CHG

[Defcon2]

¿Cómo va eso, catalufo? Ya apenas nos leemos.

Feliz año nuevo y todo eso, por cierto.

Tutto bene :)

Feliz año nuevo para ti igualmente.


Do you have distant Gitano/Gypsy ancestor? IRN_Shahr_I_Sokhta_BA2_I8728 is a Dravidian like proxy.

I'd like to think so, but I have no idea. :noidea:

To get out of doubt, I should test my parents.

[nee4speed111]

Target: nee4speed111_scaled
Distance: 3.6941% / 0.03694106
50.0 Levant_Natufian_EpiP
28.8 TUR_Catalhoyuk_N_Ceramic
10.0 IRN_Ganj_Dareh_N
6.4 GEO_CHG
4.8 Dinka

[paradox]

Target: paradox_scaled
Distance: 4.4930% / 0.04493027
58.6 TUR_Catalhoyuk_N_Ceramic
21.6 RUS_Karelia_HG
7.4 GEO_CHG
7.0 IRN_Ganj_Dareh_N
5.4 ITA_Villabruna

Target: Father_scaled
Distance: 5.2353% / 0.05235289
58.6 TUR_Catalhoyuk_N_Ceramic
29.0 RUS_Karelia_HG
7.2 GEO_CHG
4.8 ITA_Villabruna
0.4 IRN_Ganj_Dareh_N

[rothaer]

Target: rothaer_scaled
Distance: 0.0614% / 0.06140509
44.0 TUR_Catalhoyuk_N_Ceramic
34.6 RUS_Karelia_HG
14.8 ITA_Villabruna
6.6 GEO_CHG

Target: rothaer_wife2_scaled
Distance: 0.0693% / 0.06934335
40.9 TUR_Catalhoyuk_N_Ceramic
35.7 RUS_Karelia_HG
14.9 ITA_Villabruna
8.5 GEO_CHG

[rothaer]

Target: gixajo_scaled
Distance: 5.3072% / 0.05307233
60.6 TUR_Catalhoyuk_N_Ceramic
17.6 RUS_Karelia_HG
17.4 ITA_Villabruna
4.2 GEO_CHG
0.2 IRN_Shahr_I_Sokhta_BA2_I8728

Target: gixajo_dad_scaled
Distance: 4.9946% / 0.04994610
65.2 TUR_Catalhoyuk_N_Ceramic
18.4 RUS_Karelia_HG
13.4 ITA_Villabruna
1.2 GEO_CHG
1.2 MAR_Taforalt
0.6 IRN_Shahr_I_Sokhta_BA2_I8728

Target: gixajo_mom_scaled
Distance: 5.8380% / 0.05838007
59.8 TUR_Catalhoyuk_N_Ceramic
20.0 RUS_Karelia_HG
17.8 ITA_Villabruna
2.4 GEO_CHG

Extremely high WHG. But at expence of EHG obviously.

[rothaer]

Yes, comparing it with Davidski's ancient standard, we get a lot more than usual and my mother´s and my Mar_Taforalt disappears and practically disappears in my father´s case.

But well, I guess Balts have a EHG+WHG quite higher than any of us (also due to a higher "Yamanya").

Likely yes. On the other hand, if you consider that Yamnaya proper had roughly 50% EHG and 50% CHG and then see the low score of CHG in Finns f. i. (some 2-3%), then they can not have received much Yamnaya proper. So vast majority of their EHG will be from other indigenous folks on the way, I guess. In tendency this will be applicable for Balts as well.

[gixajo]

Likely yes. On the other hand, if you consider that Yamnaya proper had roughly 50% EHG and 50% CHG and the see the low score of CHG in Finns f. i. (some 2-3%), then they can not have received much Yamnaya proper. So vast majority of their EHG will be from other indigenous folks on the way, I guess. In tendency this will be applicable for Balts as well.

Is the EHG really a local European component? Is not more of a trans-continental component common to nomadic hunting peoples from North Asia to Fenno-Scandia passing through Eastern Siberia?

CHG would be a most "localized" component , and after this WHG, in the sense in which the groups of people associated with them would, in principle, have a less extensive radius of action.

At least in origin, I mean.

[Brás Garcia de Mascarenhas]

Target: Viriato_scaled
Distance: 4.9943% / 0.04994346
59.6 TUR_Catalhoyuk_N_Ceramic
17.6 RUS_Karelia_HG
13.8 ITA_Villabruna
5.2 GEO_CHG
3.0 MAR_Taforalt
0.8 IRN_Shahr_I_Sokhta_BA2_I8728


Target: Father_scaled
Distance: 4.5107% / 0.04510743
58.4 TUR_Catalhoyuk_N_Ceramic
22.0 RUS_Karelia_HG
11.8 ITA_Villabruna
3.4 GEO_CHG
2.2 IRN_Shahr_I_Sokhta_BA2_I8728
2.0 MAR_Taforalt
0.2 IRN_Ganj_Dareh_N



Target: Wife_scaled
Distance: 5.1490% / 0.05148971
55.6 TUR_Catalhoyuk_N_Ceramic
18.2 RUS_Karelia_HG
16.2 ITA_Villabruna
5.6 GEO_CHG
4.0 MAR_Taforalt
0.4 IRN_Shahr_I_Sokhta_BA2_I8728

[HectorOfTroy]

^^^^you and your mom have enormously high WHG, higher than Balts. Must be from Basque blood. In this calc Basques score highest WHG, higher than their EHG scores!

Magdalenian Hunter Gatherers which originally lived in central europe migrated to the Iberian peninsula during the ice age or afterwards (something like that). Iberian peninsula is a pretty good spot for HG genes due to recieving multiple HG input

[rothaer]

Is the EHG really a local European component? Is not more of a trans-continental component common to nomadic hunting peoples from North Asia to Fenno-Scandia passing through Eastern Siberia?

CHG would be a most "localized" component , and after this WHG, in the sense in which the groups of people associated with them would, in principle, have a less extensive radius of action.

At least in origin, I mean.

For whatever reason it's not often dealt with EHG and what exactly it is. Nevertheless there are determinations and they state that it's 50-60% ANE (ancient north Eurasian), some 5-7% CHG and the remaining part a WHG-resembling (but not WHG) early HG.

What you say fits to ANE, but EHG, when this mixture eventually establishes, is restricted to Europe. It was prevalent all the way from Karelia to the lower Volga river. But the territory of WHG in Europe was even bigger imo. And when the ice sheet retreated from Scandinavia it was settled roughly half by EHG and half by WHG.

[HectorOfTroy]

Damn, I'm still clueless on how to use this stuff

[Aila]

This calculator me likey.

Distance to: Aila_scaled
0.19306200 RUS_Karelia_HG
0.27726840 TUR_Catalhoyuk_N_Ceramic
0.28349440 GEO_CHG
0.32493933 Levant_Natufian_EpiP
0.32520794 ITA_Villabruna
0.33320902 IRN_Ganj_Dareh_N
0.37393228 IRN_Shahr_I_Sokhta_BA2_I8728
0.43616078 Jarawa
0.48901177 MAR_Taforalt
0.57559976 CHN_Yellow_River_LN
0.62594816 BRA_LapaDoSanto_9600BP
0.67071823 ETH_4500BP
0.73209598 Dinka
0.77191990 Yoruba


Target: Aila_scaled
Distance: 6.4065% / 0.06406475
49.4 RUS_Karelia_HG
35.2 TUR_Catalhoyuk_N_Ceramic
8.0 ITA_Villabruna
4.6 GEO_CHG
2.8 CHN_Yellow_River_LN

https://edition.cnn.com/2021/01/22/world/stone-age-people-elk-teeth-scn/index.html


https://www.youtube.com/watch?v=K-EE9YY6pHY

[Russki]

https://sun9-70.userapi.com/impg/zZTGp8MtFgBASPi94-g0arEyXLZ8O5Nb1pdEcw/3jSYs-CQ2R8.jpg?size=650x910&quality=95&sign=842021a09ab19399ba06f76d5f9eda84&type=album

[gixajo]

For whatever reason it's not often dealt with EHG and what exactly it is. Nevertheless there are determinations and they state that it's 50-60% ANE (ancient north Eurasian), some 5-7% CHG and the remaining part a WHG-resembling (but not WHG) early HG.

What you say fits to ANE, but EHG, when this mixture eventually establishes, is restricted to Europe. It was prevalent all the way from Karelia to the lower Volga river. But the territory of WHG in Europe was even bigger imo. And when the ice sheet retreated from Scandinavia it was settled roughly half by EHG and half by WHG.

https://i.postimg.cc/5yBwQbrf/ehg.png (https://postimages.org/)

https://i.postimg.cc/KzXkPCBj/whg2.png (https://postimages.org/)

From

https://i.postimg.cc/W4cTXVWB/ancientdna.png (https://postimages.org/)photo sharing (https://postimages.org/es/)

Yes, what I have said fits better with ANE, that is basically based in an Asian sample founded near Baikal lake and EHG can be modelled as 70% aprox. ANE.

[rothaer]

https://i.postimg.cc/5yBwQbrf/ehg.png (https://postimages.org/)

https://i.postimg.cc/KzXkPCBj/whg2.png (https://postimages.org/)

From

https://i.postimg.cc/W4cTXVWB/ancientdna.png (https://postimages.org/)photo sharing (https://postimages.org/es/)

Yes.

Precautionary: All that is spoken of here is in Europe.

[Pedro Ruben]

Target: Pedro_scaled
Distance: 4.2768% / 0.04276790
57.4 TUR_Catalhoyuk_N_Ceramic
21.8 RUS_Karelia_HG
11.0 ITA_Villabruna
5.0 MAR_Taforalt
4.0 GEO_CHG
0.8 Yoruba

Target: Dad_scaled
Distance: 4.1786% / 0.04178646
57.6 TUR_Catalhoyuk_N_Ceramic
19.6 RUS_Karelia_HG
12.6 ITA_Villabruna
6.4 MAR_Taforalt
2.2 GEO_CHG
1.2 Yoruba
0.4 IRN_Shahr_I_Sokhta_BA2_I8728

Target: Mom_scaled
Distance: 5.1926% / 0.05192608
58.2 TUR_Catalhoyuk_N_Ceramic
20.2 RUS_Karelia_HG
13.6 ITA_Villabruna
3.8 GEO_CHG
3.8 MAR_Taforalt
0.4 IRN_Shahr_I_Sokhta_BA2_I8728

[gixajo]

Yes.

Precautionary: All that is spoken of here is in Europe.

The EHG from lake Onega (by location) yes, the one from Lebyazhinka IV it´s more border European by location and origins, and it´s quite "modern" in comparation with others HG:


A man buried at Lebyazhinka IV (a site usually assigned to the Elshanka culture) had the Haplogroup R1b.[3] I. Vasiliev and A. Vybornov, citing the similarity of pottery, assert that Elshanka people were the descendants of the Zarzian culture who had been ousted from Central Asia by progressive desertification.[4] Other researchers see Elshanka ceramic industry as a local attempt at reproducing Zarzian pots

There are many cultures and information about this area than any other in the world, some overlap each other and many are difficult to distinguish except for small details. It is a very interesting area, it must be recognized that the Russians are one of those who have most researched on these issues.

I would love to have time to learn more about these issues.

[Flashball]

Target: Père(PicardieNorthernFrance)
Distance: 7.2022% / 0.07202244
52.2 TUR_Catalhoyuk_N_Ceramic
28.8 RUS_Karelia_HG
13.4 ITA_Villabruna
5.6 GEO_CHG


Target: Mère(Sardo-Française)
Distance: 5.3779% / 0.05377947
67.8 TUR_Catalhoyuk_N_Ceramic
18.6 RUS_Karelia_HG
11.6 ITA_Villabruna
2.0 GEO_CHG


Target: FlashBall(75%Français-25%Sarde)
Distance: 5.9571% / 0.05957144
61.6 TUR_Catalhoyuk_N_Ceramic
19.8 RUS_Karelia_HG
13.2 ITA_Villabruna
5.4 GEO_CHG

Target: Soeur(75%Française-25%Sarde)
Distance: 5.9592% / 0.05959220
63.2 TUR_Catalhoyuk_N_Ceramic
20.4 RUS_Karelia_HG
13.2 ITA_Villabruna
3.2 GEO_CHG

[Grace O'Malley]

Distance to: Grace_scaled
0.23683301 TUR_Catalhoyuk_N_Ceramic
0.24282545 RUS_Karelia_HG
0.27462658 GEO_CHG
0.30308272 Levant_Natufian_EpiP
0.32836912 ITA_Villabruna
0.33108962 IRN_Ganj_Dareh_N
0.38772439 IRN_Shahr_I_Sokhta_BA2_I8728
0.46784761 Jarawa
0.48799020 MAR_Taforalt
0.62080457 CHN_Yellow_River_LN
0.66430833 BRA_LapaDoSanto_9600BP
0.68180811 ETH_4500BP
0.74151012 Dinka
0.78208626 Yoruba

Target: Grace_scaled
Distance: 7.2335% / 0.07233467
42.6 TUR_Catalhoyuk_N_Ceramic
32.8 RUS_Karelia_HG
15.2 ITA_Villabruna
9.4 GEO_CHG

My mother's result

Target: Bridget_scaled
Distance: 7.0684% / 0.07068420
42.6 TUR_Catalhoyuk_N_Ceramic
32.8 RUS_Karelia_HG
14.2 ITA_Villabruna
10.4 GEO_CHG

[alnortedelsur]

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

[alnortedelsur]

Target: Alnortedelsur_scaled
Distance: 3.8002% / 0.03800247
53.6 TUR_Catalhoyuk_N_Ceramic
19.4 RUS_Karelia_HG
8.6 ITA_Villabruna
5.8 GEO_CHG
5.2 MAR_Taforalt
4.2 BRA_LapaDoSanto_9600BP
2.4 Yoruba
0.8 IRN_Shahr_I_Sokhta_BA2_I8728

Distanceto: Alnortedelsur_scaled
0.17089181 TUR_Catalhoyuk_N_Ceramic
0.23014172 Levant_Natufian_EpiP
0.26258126 GEO_CHG
0.29688335 IRN_Ganj_Dareh_N
0.29696562 RUS_Karelia_HG
0.35826887 IRN_Shahr_I_Sokhta_BA2_I8728
0.38121281 ITA_Villabruna
0.41047827 MAR_Taforalt
0.42585405 Jarawa
0.58058236 CHN_Yellow_River_LN
0.61169304 ETH_4500BP
0.62308778 BRA_LapaDoSanto_9600BP
0.67110512 Dinka
0.71170773 Yoruba

[abceff]

Target: abceff
Distance: 2.7973% / 0.02797309
44.4 TUR_Catalhoyuk_N_Ceramic
19.4 MAR_Taforalt
11.6 Levant_Natufian_EpiP
8.0 IRN_Ganj_Dareh_N
6.6 Yoruba
3.6 RUS_Karelia_HG
3.4 Dinka
3.0 ITA_Villabruna

Distance to: abceff
0.15235106 Levant_Natufian_EpiP
0.18639713 TUR_Catalhoyuk_N_Ceramic
0.29383405 MAR_Taforalt
0.30976660 IRN_Ganj_Dareh_N
0.31319167 GEO_CHG
0.38290862 IRN_Shahr_I_Sokhta_BA2_I8728
0.40850601 RUS_Karelia_HG
0.43841664 Jarawa
0.46791629 ITA_Villabruna
0.51722674 ETH_4500BP
0.57073055 Dinka
0.60528180 CHN_Yellow_River_LN
0.61600618 Yoruba
0.68540819 BRA_LapaDoSanto_9600BP

[HelloGuys]

I have noticed that almost all Iberians and Latin Americans are scoring Indus valley farmer, very curious.

[Selene]

Target: Nixie_g25_scaled
Distance: 5.6170% / 0.05616981
50.0 TUR_Catalhoyuk_N_Ceramic
33.6 RUS_Karelia_HG
8.6 ITA_Villabruna
7.8 GEO_CHG

[Kiel]

Target: Kiel_scaled
Distance: 5.4622% / 0.05462218
49.6 TUR_Catalhoyuk_N_Ceramic
29.2 RUS_Karelia_HG
12.8 ITA_Villabruna
8.4 GEO_CHG

Target: KielGF_scaled
Distance: 5.9405% / 0.05940542
46.8 TUR_Catalhoyuk_N_Ceramic
36.6 RUS_Karelia_HG
8.8 GEO_CHG
7.8 ITA_Villabruna

[Vitez]

Target: Vitez
Distance: 5.7246% / 0.05724591
51.8 TUR_Catalhoyuk_N_Ceramic
32.0 RUS_Karelia_HG
10.8 ITA_Villabruna
5.4 GEO_CHG

[noricum]

Target: G25noricum_scaled
Distance: 6.7902% / 0.06790189
51.0 TUR_Catalhoyuk_N_Ceramic
34.8 RUS_Karelia_HG
10.4 ITA_Villabruna
3.8 GEO_CHG

[ZeDude]

Target: ZeDude_scaled
Distance: 5.3851% / 0.05385108
56.6 TUR_Catalhoyuk_N_Ceramic
25.0 RUS_Karelia_HG
11.8 GEO_CHG
6.6 ITA_Villabruna

[WeirdLookingFellow]

Target: Fellow_scaled
Distance: 5.1767% / 0.05176719
53.4 TUR_Catalhoyuk_N_Ceramic
26.8 RUS_Karelia_HG
10.0 GEO_CHG
9.8 ITA_Villabruna

[Jingle Bell]

I have noticed that almost all Iberians and Latin Americans are scoring Indus valley farmer, very curious.

Yeah, prob some Levantine/Roman residual? Some Romans Imperial samples score IRN

[bained]

Target: BaiNed_simulatedk36
Distance: 4.8639% / 0.04863906
57.4 TUR_Catalhoyuk_N_Ceramic
23.0 RUS_Karelia_HG
9.8 GEO_CHG
9.8 ITA_Villabruna

[Jana]

Damn, I'm still clueless on how to use this stuff

do you have G25 coords or gedmatch K36 results?

[HectorOfTroy]

do you have G25 coords or gedmatch K36 results?

No I don't think so, I only have my DNA/kit on the gedmatch site.

I did try the Eurogenes K36 but it wont let me get the spreadsheet, gives me an error `(39) ERROR: Reference data empty. - code |63|`

[oszkar07]

Target: Oszkar
Distance: 6.0645% / 0.06064462
49.2 TUR_Catalhoyuk_N_Ceramic
33.2 RUS_Karelia_HG
11.6 ITA_Villabruna
6.0 GEO_CHG

what does this mean

[Jana]

No I don't think so, I only have my DNA/kit on the gedmatch site.

I did try the Eurogenes K36 but it wont let me get the spreadsheet, gives me an error `(39) ERROR: Reference data empty. - code |63|`

K36 has no spreadsheet. Just post your values, they are available.

[Jana]

Target: Oszkar
Distance: 6.0645% / 0.06064462
49.2 TUR_Catalhoyuk_N_Ceramic
33.2 RUS_Karelia_HG
11.6 ITA_Villabruna
6.0 GEO_CHG

what does this mean

TUR_Catalhoyuk_N_Ceramic = Anatolian (ENF) farmer, this average has lowest WHG input (below 10%) compared to others like Barcin etc so that's why I picked it.
RUS_Karelia_HG = eastern hunter gatherer
ITA_Villabruna= western hunter gatherer
GEO_CHG= Cucasus hunter gatherer

[Ajeje Brazorf]

TUR_Catalhoyuk_N_Ceramic = Anatolian (ENF) farmer, this average has lowest WHG input (below 10%) compared to others like Barcin etc so that's why I picked it.

Don't know if it's the right choice though given the very low sample coverage.


TUR_Catalhoyuk_N_Ceramic:CCH294__BC_6550__Coverage _9.93%,0.093335,0.174671,-0.017348,-0.13017,0.038776,-0.06526,-0.0094,-0.026307,0.022498,0.05868,0.023384,0.012439,-0.006987,0.000275,-0.037052,-0.032219,0.026077,0.005448,0.006159,0.004377,-0.024457,0.011994,-0.0053,0.000723,-0.001317
TUR_Catalhoyuk_N_Ceramic:CCH311__BC_6550__Coverage _4.28%,0.101303,0.189904,0.012068,-0.115958,0.025235,-0.053268,0.00752,-0.014999,0.012885,0.05376,0.010068,0.003597,-0.013974,0.012248,-0.015472,-0.032484,-0.033509,0.000253,0.013198,-0.008004,-0.000499,0.008161,-0.007641,0.002048,-0.002994
TUR_Catalhoyuk_N_Ceramic:cth739__BC_6155__Coverage _5.43%,0.095611,0.168578,-0.019987,-0.111759,0.03139,-0.053547,-0.002585,-0.012692,0.028224,0.073441,0.01023,-0.003447,-0.028692,0.010735,-0.041666,-0.019093,0.019297,-0.00228,0.040098,-0.037393,-0.009733,0.006059,-0.000123,0.015906,-0.018082

Target: TUR_Catalhoyuk_N_Ceramic
Distance: 0.0351% / 0.03514273 | R5P
35.9 TUR_Tepecik_Ciftlik_N:Tep004__BC_6287__Coverage_17 .29%
34.0 TUR_Marmara_Barcin_N:I0708__BC_6151__Coverage_83.4 6%
18.8 TUR_Marmara_Barcin_N:I0709__BC_6135__Coverage_84.1 0%
9.6 Levant_PPNC:I1699__BC_6750__Coverage_25.23%
1.7 MWI_Hora_9000BP:I2966__BC_6945__Coverage_43.86%

[Jingle Bell]

Don't know if it's the right choice though given the very low sample coverage.


TUR_Catalhoyuk_N_Ceramic:CCH294__BC_6550__Coverage _9.93%,0.093335,0.174671,-0.017348,-0.13017,0.038776,-0.06526,-0.0094,-0.026307,0.022498,0.05868,0.023384,0.012439,-0.006987,0.000275,-0.037052,-0.032219,0.026077,0.005448,0.006159,0.004377,-0.024457,0.011994,-0.0053,0.000723,-0.001317
TUR_Catalhoyuk_N_Ceramic:CCH311__BC_6550__Coverage _4.28%,0.101303,0.189904,0.012068,-0.115958,0.025235,-0.053268,0.00752,-0.014999,0.012885,0.05376,0.010068,0.003597,-0.013974,0.012248,-0.015472,-0.032484,-0.033509,0.000253,0.013198,-0.008004,-0.000499,0.008161,-0.007641,0.002048,-0.002994
TUR_Catalhoyuk_N_Ceramic:cth739__BC_6155__Coverage _5.43%,0.095611,0.168578,-0.019987,-0.111759,0.03139,-0.053547,-0.002585,-0.012692,0.028224,0.073441,0.01023,-0.003447,-0.028692,0.010735,-0.041666,-0.019093,0.019297,-0.00228,0.040098,-0.037393,-0.009733,0.006059,-0.000123,0.015906,-0.018082

Target: TUR_Catalhoyuk_N_Ceramic
Distance: 0.0351% / 0.03514273 | R5P
35.9 TUR_Tepecik_Ciftlik_N:Tep004__BC_6287__Coverage_17 .29%
34.0 TUR_Marmara_Barcin_N:I0708__BC_6151__Coverage_83.4 6%
18.8 TUR_Marmara_Barcin_N:I0709__BC_6135__Coverage_84.1 0%
9.6 Levant_PPNC:I1699__BC_6750__Coverage_25.23%
1.7 MWI_Hora_9000BP:I2966__BC_6945__Coverage_43.86%

Oh, sry for ask but what sampls coverage? And how thats influence in results?

[Ajeje Brazorf]

Oh, sry for ask but what sampls coverage? And how thats influence in results?

Coverage is synonymous with quality, the higher the quality the better the DNA is preserved in the samples. Samples with low coverage usually tend to have high distances to other ancient samples and have ancestry that shouldn't be there (like SSA, South Asian, Papuan or stuff like that).

[Jingle Bell]

Coverage is synonymous with quality, the higher the quality the better the DNA is preserved in the samples. Samples with low coverage usually tend to have high distances to other ancient samples and have ancestry that shouldn't be there (like SSA, South Asian, Papuan or stuff like that).

Oh tysm for explanation :)

[Jana]

Don't know if it's the right choice though given the very low sample coverage.


TUR_Catalhoyuk_N_Ceramic:CCH294__BC_6550__Coverage _9.93%,0.093335,0.174671,-0.017348,-0.13017,0.038776,-0.06526,-0.0094,-0.026307,0.022498,0.05868,0.023384,0.012439,-0.006987,0.000275,-0.037052,-0.032219,0.026077,0.005448,0.006159,0.004377,-0.024457,0.011994,-0.0053,0.000723,-0.001317
TUR_Catalhoyuk_N_Ceramic:CCH311__BC_6550__Coverage _4.28%,0.101303,0.189904,0.012068,-0.115958,0.025235,-0.053268,0.00752,-0.014999,0.012885,0.05376,0.010068,0.003597,-0.013974,0.012248,-0.015472,-0.032484,-0.033509,0.000253,0.013198,-0.008004,-0.000499,0.008161,-0.007641,0.002048,-0.002994
TUR_Catalhoyuk_N_Ceramic:cth739__BC_6155__Coverage _5.43%,0.095611,0.168578,-0.019987,-0.111759,0.03139,-0.053547,-0.002585,-0.012692,0.028224,0.073441,0.01023,-0.003447,-0.028692,0.010735,-0.041666,-0.019093,0.019297,-0.00228,0.040098,-0.037393,-0.009733,0.006059,-0.000123,0.015906,-0.018082

Target: TUR_Catalhoyuk_N_Ceramic
Distance: 0.0351% / 0.03514273 | R5P
35.9 TUR_Tepecik_Ciftlik_N:Tep004__BC_6287__Coverage_17 .29%
34.0 TUR_Marmara_Barcin_N:I0708__BC_6151__Coverage_83.4 6%
18.8 TUR_Marmara_Barcin_N:I0709__BC_6135__Coverage_84.1 0%
9.6 Levant_PPNC:I1699__BC_6750__Coverage_25.23%
1.7 MWI_Hora_9000BP:I2966__BC_6945__Coverage_43.86%

If David put it into sheets I guess it's fine, I don't see exotic noise worth of mention.

Barcin and others have too much WHG for my taste (can go up to 25%), as I tried to get as pure ENF sample as possible. This one is closest, but if there is some 100% I don't know about it.

[Jingle Bell]

If David put it into sheets I guess it's fine, I don't see exotic noise worth of mention.

Barcin and others have too much WHG for my taste (can go up to 25%), as I tried to get as pure ENF sample as possible. This one is closest, but if there is some 100% I don't know about it.

Wait, Barcin were alr WHG admixed even before they get in Europe? Or im misunderstanding?
I thoght Bracin were 100% Natufian + AHG and when they get in Europe they mixed with WHG and become EEF

[Ænglishman]

Target: Ænglishman
Distance: 5.0826% / 0.05082631
42.6 TUR_Catalhoyuk_N_Ceramic
30.2 RUS_Karelia_HG
14.0 ITA_Villabruna
12.0 GEO_CHG
1.0 IRN_Shahr_I_Sokhta_BA2_I8728
0.2 CHN_Yellow_River_LN

Interesting to see high WHG and CHG in this one and yet relatively low EHG despite Yamna assuredly being the transmission vector for most of that CHG. Perhaps this is why I get modeled as Iceland+Belgium in a lot of calcs ?

[Ajeje Brazorf]

If David put it into sheets I guess it's fine, I don't see exotic noise worth of mention.

Not necessarily, there are samples in the sheet with even lower coverage. Btw there's also TUR_Tepecik_Ciftlik_N in the sheets, which looks like a version of TUR_Catalhoyuk_N_Ceramic with somewhat higher coverage.


Barcin and others have too much WHG for my taste (can go up to 25%), as I tried to get as pure ENF sample as possible. This one is closest, but if there is some 100% I don't know about it.

TUR_Catalhoyuk_N_Ceramic doesn't represent a purer form of ENF, it's just more southeastwardly shifted hence the lower proximity to WHG.


Distancedifference:(AC-BC) ↑
A: TUR_Catalhoyuk_N_Ceramic
B: TUR_Marmara_Barcin_N
C: ↴
-0.03170802 TUR_SE_Mardin_PPN:I8432__BC_8750__Coverage_13.58%
-0.02827326 IRN_Hajji_Firuz_C:I4351__BC_5970__Coverage_59.58%
-0.02814247 TUR_Tell_Kurdu_EC:KRD003__BC_5652__Coverage_36.32%
-0.02739127 TUR_Tell_Kurdu_EC:KRD001__BC_5679__Coverage_20.92%
-0.02711404 IRN_Hajji_Firuz_C:I2323__BC_5960__Coverage_39.64%
-0.02637192 TUR_Tell_Kurdu_EC:KRD006__BC_5600__Coverage_21.97%
-0.02632066 IRQ_Nemrik9_PPN:I6445__BC_8750__Coverage_25.61%
-0.02458424 AZE_Caucasus_lowlands_LN:MTT001__BC_5688__Coverage _75.52%
-0.02398982 Levant_PPNB:I1707__BC_7619__Coverage_12.73%
-0.02215997 IRN_Wezmeh_N:WC1__BC_7264__Coverage_99.82%
-0.02202691 IRN_Hajji_Firuz_C:I4349__BC_5797__Coverage_74.12%
-0.02170698 IRN_Tepe_Abdul_Hosein_N:AH2__BC_7971__Coverage_50. 76%

The structure of ENF itself carries WHG-related admixture, but this is mainly evident in Pinarbasi_HG and Boncuklu_N, not in Barcin_N (there is a clear gap in distances as well).

https://i.imgur.com/C31mfU1.png

"Pure ENF", whatever I mean by that, on Global25 is exemplified by these individual samples (sorted from most drifted to least):


ROU_N:I2533__BC_5421__Coverage_66.59%,0.126344,0.1 87873,0.010936,-0.102068,0.060319,-0.055778,0.003055,-0.005769,0.044586,0.095492,0.001299,0.012589,-0.027948,-0.001376,-0.050488,-0.006762,0.034421,-0.000507,0.008547,-0.013381,-0.014974,0.007048,-0.003944,0.005904,-0.011137
HRV_Sopot_MN:I3498__BC_5731__Coverage_42.89%,0.119 514,0.188888,-0.003394,-0.109498,0.053548,-0.054384,-0.01034,-0.004384,0.045404,0.088931,0.001461,0.01124,-0.017096,-0.007707,-0.051031,-0.014585,0.009518,-0.00114,0.01081,-0.019384,-0.015597,0.006183,0.000493,0.007471,-0.001796
MKD_N:I0676__BC_5842__Coverage_73.44%,0.122929,0.1 82795,-0.000754,-0.103037,0.063704,-0.046296,-0.00376,-0.001385,0.046222,0.090571,0.01153,0.014837,-0.031516,0.003303,-0.042073,-0.011535,0.024251,0.005448,0.013701,-0.012006,-0.016346,0.011623,0.001109,0.00494,-0.007664
HUN_Koros_N:I1508__BC_5641__Coverage_49.06%,0.1149 61,0.179749,-0.003017,-0.110467,0.052625,-0.049921,-0.006345,-0.007384,0.039064,0.094763,0.005521,0.013788,-0.030029,-0.004266,-0.044652,-0.010077,0.034682,-0.003547,0.01898,-0.008379,-0.023833,0.001855,-0.005916,0.002771,-0.002515
HUN_Sopot_LN:I4184__BC_4804__Coverage_36.92%,0.118 376,0.189904,0.00528,-0.094639,0.072321,-0.041276,-0.0047,-0.006923,0.054403,0.089296,0.009256,0.009741,-0.017393,0.013762,-0.044381,-0.014187,0.023078,0.00114,0.012193,-0.024637,-0.016471,0.005441,0.004807,-0.004579,-0.008382
HUN_Starcevo_N:I1877__BC_5617__Coverage_65.04%,0.1 19514,0.18178,0.00264,-0.115312,0.051086,-0.055778,-0.0094,-0.011307,0.038655,0.087291,0.002923,0.014837,-0.0278,0.002202,-0.039495,-0.017237,0.014733,0.005828,0.013952,-0.016883,-0.013851,0.015828,0.000493,-0.007591,-0.008861
HRV_Cardial_N:I3948__BC_5913__Coverage_65.53%,0.12 0652,0.183811,0.008297,-0.105299,0.051086,-0.051595,-0.012691,-0.00923,0.046222,0.097132,0.013316,0.020981,-0.026016,-0.002202,-0.03868,-0.025457,0.010431,-0.001267,0.010182,-0.018134,-0.014474,0.001607,-0.008258,-0.006025,-0.008742
TUR_Marmara_Barcin_N:I1579__BC_6122__Coverage_70.8 1%,0.119514,0.188888,0.006788,-0.103683,0.060934,-0.049921,-0.00423,-0.004615,0.03661,0.095309,0.008769,0.008093,-0.029435,0.005505,-0.044381,-0.012198,0.015907,0.000127,0.01257,-0.015507,-0.010107,0.006554,-0.009244,-0.008073,-0.002275

And from these averages (I include only those made of more than 3 samples, also sorted from most drifted to least):


HUN_Koros_N,0.1155305,0.1802565,0.00132,-0.11079,0.054164,-0.0518735,-0.003995,-0.005538,0.0423365,0.094125,0.005846,0.013488,-0.0269815,-0.0026145,-0.0396305,-0.0111375,0.029532,-0.0012035,0.0172205,-0.009692,-0.019715,0.0055645,-0.006224,0.0016865,-0.003293
HRV_Cardial_N,0.12330833,0.185165,0.011062333,-0.10099167,0.058575,-0.050107333,-0.0092436667,-0.0053843333,0.051335333,0.092515333,0.009202,0.01 6685,-0.026214,0.001055,-0.041711333,-0.017281,0.012212667,0.00067566667,0.011103333,-0.013631667,-0.012478,0.005894,-0.0049713333,-0.011005333,-0.008143
HUN_Starcevo_N,0.1224736,0.187873,0.0081458,-0.0981276,0.0590264,-0.0519296,-0.0036662,-0.0063688,0.0435636,0.0864894,0.0070804,0.0125888,-0.023667,0.0040734,-0.037513,-0.0220632,0.0077708,0.0015456,0.0112372,-0.0162328,-0.0126278,0.0111288,-0.0014542,-0.0054704,-0.0046462
ROU_N,0.1227014,0.1832016,0.0107104,-0.0947036,0.0584108,-0.0461284,-0.00376,-0.0044766,0.0417638,0.0879838,0.008087,0.014597,-0.024975,0.002725,-0.0432676,-0.013365,0.0180972,0.0066384,0.0134748,-0.0100046,-0.014849,0.0048472,-0.0049792,0.0025062,-0.0094602
HRV_Sopot_MN,0.126059,0.187873,0.008014,-0.0974655,0.0545485,-0.0449015,-0.0057575,-0.00721125,0.0458135,0.0885665,0.0052775,0.014612,-0.02374875,-0.00213325,-0.04186975,-0.017734,0.01020225,0.0025655,0.008736,-0.00928575,-0.00951425,0.0102325,-0.0045295,-0.0054525,-0.0059875
TUR_Marmara_Mentese_N,0.11780675,0.17847925,0.0089 565,-0.10287575,0.050009,-0.05347725,-0.001175,-0.00357675,0.03476925,0.080594,0.006536,0.010753,-0.02605275,-0.00037875,-0.04638225,-0.01325875,0.02503375,0.0066195,0.02341125,-0.0123495,-0.01637725,0.0051935,-0.005361,-0.00186775,0.0001795
SRB_N,0.12776625,0.18228775,0.010748,-0.0957695,0.05747225,-0.04406475,-0.00094,-0.005769,0.039013,0.08688125,0.00369425,0.01315075 ,-0.022262,0.00141075,-0.03915525,-0.01369,0.02027475,0.000697,0.01241275,-0.0138505,-0.007331,0.00621375,-0.00831925,0.00201825,0.00005975

Their distances from WHG compared with Anatolian averages

https://i.imgur.com/SpFPyk5.png

[HectorOfTroy]

K36 has no spreadsheet. Just post your values, they are available.

Okay you mean these?

Population
Amerindian 30.63 Pct
Arabian 1.62 Pct
Armenian -
Basque 0.24 Pct
Central_African -
Central_Euro 1.63 Pct
East_African -
East_Asian -
East_Balkan 3.26 Pct
East_Central_Asian 0.2 Pct
East_Central_Euro 3.09 Pct
East_Med 0.28 Pct
Eastern_Euro -
Fennoscandian 3.29 Pct
French 0.34 Pct
Iberian 21.55 Pct
Indo-Chinese 1.53 Pct
Italian 5.17 Pct
Malayan -
Near_Eastern 4.48 Pct
North_African 4.44 Pct
North_Atlantic 3.71 Pct
North_Caucasian -
North_Sea 1.29 Pct
Northeast_African 0.5 Pct
Oceanian 0.23 Pct
Omotic -
Pygmy 0.52 Pct
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African 0.53 Pct
West_Caucasian 4.75 Pct
West_Med 6.68 Pct


Do i put this in the source or target of this site? https://vahaduo.github.io/vahaduo/

[Ajeje Brazorf]

Okay you mean these?

Population
Amerindian 30.63 Pct
Arabian 1.62 Pct
Armenian -
Basque 0.24 Pct
Central_African -
Central_Euro 1.63 Pct
East_African -
East_Asian -
East_Balkan 3.26 Pct
East_Central_Asian 0.2 Pct
East_Central_Euro 3.09 Pct
East_Med 0.28 Pct
Eastern_Euro -
Fennoscandian 3.29 Pct
French 0.34 Pct
Iberian 21.55 Pct
Indo-Chinese 1.53 Pct
Italian 5.17 Pct
Malayan -
Near_Eastern 4.48 Pct
North_African 4.44 Pct
North_Atlantic 3.71 Pct
North_Caucasian -
North_Sea 1.29 Pct
Northeast_African 0.5 Pct
Oceanian 0.23 Pct
Omotic -
Pygmy 0.52 Pct
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African 0.53 Pct
West_Caucasian 4.75 Pct
West_Med 6.68 Pct


Do i put this in the source or target of this site? https://vahaduo.github.io/vahaduo/


HectorOfTroy,30.63,1.62,0,0.24,0,1.63,0,0,3.26,0.2 ,3.09,0.28,0,3.29,0.34,21.55,1.53,5.17,0,4.48,4.44 ,3.71,0,1.29,0.5,0.23,0,0.52,0,0,0,0,0,0.53,4.75,6 .68

K36 distances


Distanceto: HectorOfTroy
34.14730443 Portuguese_Azores
34.22160721 Spanish_Canarias
34.75745532 Portuguese
35.14545917 Spanish_Eivissa
35.40497423 Spanish_Valencia
35.50674584 Spanish
35.54627829 Spanish_Alacant
35.57320166 French_Provence
35.67098120 Spanish_Camp_de_Tarragona
35.74528360 Spanish_Terres_de_l'Ebre
35.75002937 Spanish_Girona
35.83310760 Spanish_Galicia
35.93544351 Spanish_Mallorca
35.93552560 Spanish_Peri-Barcelona
35.95544604 Spanish_Catalunya_Central
36.03800494 Spanish_Lleida
36.06121185 Spanish_Pirineu
36.24800408 Spanish_Penedes
36.31598408 Spanish_Andalusia
36.46489819 Spanish_Barcelones
36.54099889 Spanish_Valencia
37.05929573 Spanish_Aragon
37.11030315 French
37.26209736 French_East
37.27297412 Spanish_Castello
37.39594630 Spanish_Cantabria
37.45709145 Spanish_Baleares
37.51580734 Italian_Friuli
37.84542112 French_Central
37.86180793 Italian_Veneto
38.00211573 French_Northeast
38.21989142 Romanian
38.28001045 French_Corsican
38.30509627 German_Bavaria_proper
38.41082790 Italian_North
38.47151024 Gagauz
38.52322157 Austrian_Burgenland
38.57402235 German_Hesse_South
38.61604718 Italian_Aosta
38.64601532 German_Bavarian_Swabia
38.73822273 Romanian_Southeast
38.78829978 Bulgarian
38.80105669 Swiss_German
38.88847387 French_Hauts-de-France
38.93427539 Romanian_Northwest
38.95293314 German_Rhineland-Palatinate
39.03305266 Italian_Val_Borbera
39.04509060 French_Normandy
39.05918074 German_Thuringia_Central
39.06650995 Romanian_Central
39.18299376 Romanian_Northeast
39.18900866 Serb_Dalmatia
39.26031966 Serb
39.29127639 Swiss_Italian
39.29994911 Greek_Euboea
39.36289878 Jewish_Ashkenazi
39.39031861 Austrian_Styria
39.44477152 Italian_Marche
39.45240677 German_North_Bohemia
39.49927341 Albanian_Montenegro
39.52427355 German_South
39.52535642 Montenegrin
39.52744616 Montenegrin
39.61849316 Greek_Central
39.61996466 Italian_Tuscany
39.64058526 Moldova_South
39.64815633 German_Baden-Württemberg
39.65104160 Bulgarian_2
39.68861550 German_West_Bohemia
39.73286675 Austrian_Tyrol
39.75876507 Afrikaner
39.80282276 Italian_Lazio
39.81596414 Moldovan
39.91463391 German_Saarland
39.94838169 German_Bavaria_Oberpfalz
39.97597403 French_Brittany

K36 models


Target: HectorOfTroy
Distance: 10.8852% / 10.88520507 | R2P
69.1 Spanish_Canarias
30.9 Karitiana

Target: HectorOfTroy
Distance: 9.7766% / 9.77663559 | R3P
57.5 Spanish_Cantabria
31.2 Karitiana
11.3 Palestinian

Target: HectorOfTroy
Distance: 9.1884% / 9.18837551 | R4P
54.7 Spanish_Cantabria
31.0 Karitiana
9.4 Palestinian
4.9 Mozabite

Target: HectorOfTroy
Distance: 8.7590% / 8.75897894 | R5P
49.7 Spanish_Cantabria
30.5 Karitiana
8.1 Palestinian
7.2 Ukrainian_Cossack
4.5 Mozabite

Target: HectorOfTroy
Distance: 8.3959% / 8.39591763 | R6P
43.8 Spanish_Cantabria
30.4 Karitiana
8.0 Ukrainian_Cossack
7.3 Palestinian
6.3 Sardinian
4.2 Mozabite

Target: HectorOfTroy
Distance: 8.3959% / 8.39591763 | R7P
43.8 Spanish_Cantabria
30.4 Karitiana
8.0 Ukrainian_Cossack
7.3 Palestinian
6.3 Sardinian
4.2 Mozabite

[Ajeje Brazorf]

HectorOfTroy_simulated,0.07831279754199996,-0.006841644147999995,0.0516242522576,0.02021119900 000018,-0.009329899467999994,-0.009324991263340004,-0.09914969258700002,-0.11854158494200008,0.01006339328699983,0.01398134 101900017,-0.0024977919612000003,0.000879940302999975,-0.004583001260999993,0.005389185344000347,-0.0031079907969999362,-0.0025573919230000713,0.004143404818999663,0.00028 89495589999888,-0.0034951663689999895,0.0036495994113999973,0.0022 602636880001553,-0.0030028532390000556,-0.0009703688700000313,-0.006163996479000004,0.0036973342699997136


Distanceto: HectorOfTroy_simulated
0.16501937 Tlingit
0.17552096 Tatar_Lipka
0.17738466 Tatar_Crimean_steppe
0.18161515 Tatar_Kazan
0.18610844 Turkmen
0.18940220 Besermyan
0.19067043 Tatar_Mishar
0.19155635 Tajik_Hisor
0.19227541 Turkish_Northwest
0.19269236 Turkmen_Uzbekistan
0.19282998 Tajik_Ayni
0.19442176 Turkish_Aydin
0.19591191 Turkish_Balikesir
0.19609258 Turkish_Southwest
0.19734051 Udmurt
0.19772340 Turkish_Rumeli
0.19836124 Tajik_Kulob
0.19841256 Komi
0.19849297 Turkish_South


Target: HectorOfTroy_simulated
Distance: 0.0093% / 0.00934380 | R4P
51.9 Spanish_Murcia
33.9 Cachi
7.7 Moroccan_North
6.5 Georgian_Guria

[alexmegas777]

Target: alexmegas_scaled
Distance: 5.3559% / 0.05355852
57.4 TUR_Catalhoyuk_N_Ceramic
25.2 RUS_Karelia_HG
9.0 GEO_CHG
8.4 ITA_Villabruna
Distance to: alexmegas_scaled
0.17157148 TUR_Catalhoyuk_N_Ceramic
0.25450700 Levant_Natufian_EpiP
0.25763573 GEO_CHG
0.29406021 RUS_Karelia_HG
0.30927341 IRN_Ganj_Dareh_N
0.37421144 ITA_Villabruna
0.37819812 IRN_Shahr_I_Sokhta_BA2_I8728
0.45990379 Jarawa
0.46405664 MAR_Taforalt
0.61391099 CHN_Yellow_River_LN
0.66653150 BRA_LapaDoSanto_9600BP
0.67374577 ETH_4500BP
0.73358770 Dinka
0.77221497 Yoruba

[Nausevar]

Target: Nausevar_scaled
Distance: 6.0296% / 0.06029597
55.6 TUR_Catalhoyuk_N_Ceramic
25.8 RUS_Karelia_HG
9.6 ITA_Villabruna
9.0 GEO_CHG

[Jana]

Wait, Barcin were alr WHG admixed even before they get in Europe? Or im misunderstanding?
I thoght Bracin were 100% Natufian + AHG and when they get in Europe they mixed with WHG and become EEF

All these Anatolian Neolithic averages I tested already had WHG like input, I tested them with simple model as Natufian and WHG.
one I picked had the least...

[Jana]

Okay you mean these?

Population
Amerindian 30.63 Pct
Arabian 1.62 Pct
Armenian -
Basque 0.24 Pct
Central_African -
Central_Euro 1.63 Pct
East_African -
East_Asian -
East_Balkan 3.26 Pct
East_Central_Asian 0.2 Pct
East_Central_Euro 3.09 Pct
East_Med 0.28 Pct
Eastern_Euro -
Fennoscandian 3.29 Pct
French 0.34 Pct
Iberian 21.55 Pct
Indo-Chinese 1.53 Pct
Italian 5.17 Pct
Malayan -
Near_Eastern 4.48 Pct
North_African 4.44 Pct
North_Atlantic 3.71 Pct
North_Caucasian -
North_Sea 1.29 Pct
Northeast_African 0.5 Pct
Oceanian 0.23 Pct
Omotic -
Pygmy 0.52 Pct
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African 0.53 Pct
West_Caucasian 4.75 Pct
West_Med 6.68 Pct


Do i put this in the source or target of this site? https://vahaduo.github.io/vahaduo/

yeah. use the simulated coords Ajeje made for you, put them into TARGET. Cords of samples I posted in OP put into SOURCE.
than run SINGLE and you get results

[Jana]

...

your results :)

Target: HectorOfTroy_simulated
Distance: 2.3796% / 0.02379586

40.2 TUR_Catalhoyuk_N_Ceramic
32.4 BRA_LapaDoSanto_9600BP
8.8 ITA_Villabruna
8.4 RUS_Karelia_HG
4.4 GEO_CHG
3.4 MAR_Taforalt
2.4 IRN_Shahr_I_Sokhta_BA2_I8728

[HectorOfTroy]

your results :)

Target: HectorOfTroy_simulated
Distance: 2.3796% / 0.02379586

40.2 TUR_Catalhoyuk_N_Ceramic
32.4 BRA_LapaDoSanto_9600BP
8.8 ITA_Villabruna
8.4 RUS_Karelia_HG
4.4 GEO_CHG
3.4 MAR_Taforalt
2.4 IRN_Shahr_I_Sokhta_BA2_I8728

Thanks!! That was more Catalhoyuk N Ceramic than I was expecting, I am like 60% European (According to 23andme) so that makes Catalhoyuk ~65% in terms of my European side only. a lot lower Rus Karelia though than I was expecting, considering I thought Andean people had high proportion (~ 40%) of ANE blood.

[Impaler]

Target: Impaler
Distance: 4.3702% / 0.04370179
52.2 TUR_Catalhoyuk_N_Ceramic
23.4 RUS_Karelia_HG
9.0 IRN_Shahr_I_Sokhta_BA2_I8728
7.8 GEO_CHG
5.0 ITA_Villabruna
2.6 IRN_Ganj_Dareh_N

Target: Father
Distance: 4.8015% / 0.04801497
47.4 TUR_Catalhoyuk_N_Ceramic
16.8 RUS_Karelia_HG
15.6 IRN_Shahr_I_Sokhta_BA2_I8728
10.2 GEO_CHG
7.4 ITA_Villabruna
2.6 IRN_Ganj_Dareh_N

[Jana]

Thanks!! That was more Catalhoyuk N Ceramic than I was expecting, I am like 60% European (According to 23andme) so that makes Catalhoyuk ~65% in terms of my European side only. a lot lower Rus Karelia though than I was expecting, considering I thought Andean people had high proportion (~ 40%) of ANE blood.

BRA_LapaDoSanto_9600BP is amerindian proxy so it's already loaded with ANE :)
ANE even peaks in Brazilian tribals Karitiana.

[Jana]

Yeah, prob some Levantine/Roman residual? Some Romans Imperial samples score IRN

Yeah but there are two Iranian samples. One is Iranan Neolithic farmer and other is Dravidian like sample (Indus valley like which is Iran Neo + AASI iirc) so they are quite different between each other.

[Mingle]

Target: Mingle
Distance: 4.2738% / 0.04273789


30.4 IRN_Shahr_I_Sokhta_BA2_I8728
26.2 IRN_Ganj_Dareh_N
17.4 TUR_Catalhoyuk_N_Ceramic
17.0 RUS_Karelia_HG
8.2 GEO_CHG
0.8 CHN_Yellow_River_LN

[celticdragongod]

Distance to: CDG_scaled
0.22957352 TUR_Catalhoyuk_N_Ceramic
0.24790376 RUS_Karelia_HG
0.27700425 GEO_CHG
0.30051118 Levant_Natufian_EpiP
0.33215023 IRN_Ganj_Dareh_N
0.33849884 ITA_Villabruna
0.38540696 IRN_Shahr_I_Sokhta_BA2_I8728
0.46495067 Jarawa
0.48349269 MAR_Taforalt
0.61879065 CHN_Yellow_River_LN
0.66704718 BRA_LapaDoSanto_9600BP
0.67753663 ETH_4500BP
0.73679259 Dinka
0.77737797 Yoruba

Target: CDG_scaled
Distance: 7.4693% / 0.07469328
46.6 TUR_Catalhoyuk_N_Ceramic
35.8 RUS_Karelia_HG
11.6 ITA_Villabruna
6.0 GEO_CHG

[PT Tagus]

Target: Endovelicus_scaled
Distance: 4.4442% / 0.04444191
59.2 UR_Catalhoyuk_N_Ceramic
16.8 RUS_Karelia_HG
13.4 ITA_Villabruna
6.0 GEO_CHG
3.2 MAR_Taforalt
1.4 Yoruba

[vader]

Target: Luso_scaled
Distance: 4.5426% / 0.04542577
59.6 TUR_Catalhoyuk_N_Ceramic
18.8 RUS_Karelia_HG
13.2 ITA_Villabruna
4.4 MAR_Taforalt
3.4 GEO_CHG
0.6 IRN_Shahr_I_Sokhta_BA2_I8728

Target: Luso_dad_scaled
Distance: 4.9117% / 0.04911719
59.6 TUR_Catalhoyuk_N_Ceramic
18.8 RUS_Karelia_HG
14.0 ITA_Villabruna
4.0 MAR_Taforalt
3.6 GEO_CHG

Target: Luso_mom_scaled
Distance: 4.1159% / 0.04115916
58.2 TUR_Catalhoyuk_N_Ceramic
19.0 RUS_Karelia_HG
13.0 ITA_Villabruna
4.8 GEO_CHG
3.8 MAR_Taforalt
1.2 IRN_Shahr_I_Sokhta_BA2_I8728

Target: LusoGF_Simulated
Distance: 3.6479% / 0.03647858
44.0 TUR_Catalhoyuk_N_Ceramic
32.4 GEO_CHG
19.2 RUS_Karelia_HG
4.4 ITA_Villabruna

[Karol Klačansky]

Target: Karol_scaled
Distance: 6.4207% / 0.06420676
45.2 TUR_Catalhoyuk_N_Ceramic
35.6 RUS_Karelia_HG
14.6 ITA_Villabruna
4.6 GEO_CHG

[Figaro]

Target: CordedFather_scaled
Distance: 6.6716% / 0.06671631
48.6 TUR_Catalhoyuk_N_Ceramic
34.4 RUS_Karelia_HG
11.2 ITA_Villabruna
5.8 GEO_CHG

Target: CordedMother_scaled
Distance: 6.2549% / 0.06254876
46.2 TUR_Catalhoyuk_N_Ceramic
35.8 RUS_Karelia_HG
11.4 ITA_Villabruna
6.6 GEO_CHG

Target: CordedWife_scaled
Distance: 3.0766% / 0.03076565
39.2 TUR_Catalhoyuk_N_Ceramic
28.6 BRA_LapaDoSanto_9600BP
17.0 RUS_Karelia_HG
5.0 ITA_Villabruna
5.0 MAR_Taforalt
2.6 IRN_Shahr_I_Sokhta_BA2_I8728
1.6 Yoruba
1.0 GEO_CHG

Target: CordedFriend_scaled
Distance: 7.6306% / 0.07630604
51.2 TUR_Catalhoyuk_N_Ceramic
30.0 RUS_Karelia_HG
10.6 ITA_Villabruna
8.2 GEO_CHG

[Annihilus]

Target: annihilus_g25_sim
Distance: 3.3595% / 0.03359508
51.2 TUR_Catalhoyuk_N_Ceramic
19.8 GEO_CHG
17.0 RUS_Karelia_HG
9.4 IRN_Ganj_Dareh_N
2.0 ITA_Villabruna
0.6 IRN_Shahr_I_Sokhta_BA2_I8728

[Beowulf]

Target: ivan
Distance: 4.7434% / 0.04743363
62.2 TUR_Catalhoyuk_N_Ceramic
17.6 RUS_Karelia_HG
14.8 ITA_Villabruna
3.6 GEO_CHG
1.0 MAR_Taforalt
0.8 IRN_Shahr_I_Sokhta_BA2_I8728

weird results i don't usually get this and the distance for me is very high for this typeof calcs i usually get a distance of 2 or 1.9

with real coordinates:

Target: Ivorix
Distance: 4.1621% / 0.04162145
59.0 TUR_Catalhoyuk_N_Ceramic
20.8 RUS_Karelia_HG
13.6 ITA_Villabruna
5.0 GEO_CHG
1.6 IRN_Shahr_I_Sokhta_BA2_I8728

[ombustman]

Target: Ombustman_scaled
Distance: 3.2464% / 0.03246360
48.6 TUR_Catalhoyuk_N_Ceramic
14.2 GEO_CHG
13.8 RUS_Karelia_HG
10.8 IRN_Ganj_Dareh_N
8.6 CHN_Yellow_River_LN
4.0 Levant_Natufian_EpiP

[hazmatnik]

Target: Nikola_scaled
Distance: 6.1707% / 0.06170697
57.2 TUR_Catalhoyuk_N_Ceramic
28.2 RUS_Karelia_HG
8.2 ITA_Villabruna
6.4 GEO_CHG

And family

Target: Tetka1_scaled
Distance: 5.7450% / 0.05745048
54.4 TUR_Catalhoyuk_N_Ceramic
26.0 RUS_Karelia_HG
10.2 GEO_CHG
9.4 ITA_Villabruna

Target: Baba2_scaled
Distance: 5.6438% / 0.05643772
56.0 TUR_Catalhoyuk_N_Ceramic
31.6 RUS_Karelia_HG
7.4 ITA_Villabruna
5.0 GEO_CHG

Target: Tetka2_scaled
Distance: 5.5340% / 0.05534023
59.8 TUR_Catalhoyuk_N_Ceramic
31.4 RUS_Karelia_HG
4.8 ITA_Villabruna
4.0 GEO_CHG

Target: Baba1_scaled
Distance: 6.4013% / 0.06401280
56.4 TUR_Catalhoyuk_N_Ceramic
24.0 RUS_Karelia_HG
11.0 ITA_Villabruna
8.6 GEO_CHG

Target: Deda1_scaled
Distance: 5.3648% / 0.05364755
57.2 TUR_Catalhoyuk_N_Ceramic
26.0 RUS_Karelia_HG
10.0 ITA_Villabruna
6.8 GEO_CHG

[MandM]

Target: Milenko
Distance: 5.3885% / 0.05388526
58.0 TUR_Catalhoyuk_N_Ceramic
29.0 RUS_Karelia_HG
9.6 GEO_CHG
3.4 ITA_Villabruna

[happycow]

Target: happycow_scaled
Distance: 2.3254% / 0.02325364
35.0 TUR_Catalhoyuk_N_Ceramic
29.6 Levant_Natufian_EpiP
18.6 IRN_Ganj_Dareh_N
10.8 GEO_CHG
3.4 RUS_Karelia_HG
1.8 Yoruba
0.6 IRN_Shahr_I_Sokhta_BA2_I8728
0.2 MAR_Taforalt

[ScandinavianCelt]

Target: Brad_scaled
Distance: 6.2635% / 0.06263459

44.0 TUR_Catalhoyuk_N_Ceramic
35.0 RUS_Karelia_HG
11.8 ITA_Villabruna
9.2 GEO_CHG

[Pater Patota]

Target: PP_scaled
Distance: 2.7430% / 0.02742975
45.4 TUR_Catalhoyuk_N_Ceramic
20.8 GEO_CHG
19.0 IRN_Ganj_Dareh_N
11.0 RUS_Karelia_HG
2.2 ITA_Villabruna
0.8 IRN_Shahr_I_Sokhta_BA2_I8728
0.8 Levant_Natufian_EpiP

[Saba]

Distance: 3.1054% / 0.03105401
40.0 TUR_Catalhoyuk_N_Ceramic
36.4 IRN_Ganj_Dareh_N
9.4 GEO_CHG
8.4 RUS_Karelia_HG
3.8 IRN_Shahr_I_Sokhta_BA2_I8728
2.0 CHN_Yellow_River_LN

[ScandinavianCelt]

Target: Brad_scaled
Distance: 6.2635% / 0.06263459

44.0 TUR_Catalhoyuk_N_Ceramic
35.0 RUS_Karelia_HG
11.8 ITA_Villabruna
9.2 GEO_CHG

[cass]

Target: cass
Distance: 6.6931% / 0.06693074
43.6 TUR_Catalhoyuk_N_Ceramic
35.6 RUS_Karelia_HG
13.8 ITA_Villabruna
7.0 GEO_CHG

It seems that ancient coordinates are so distant that for a modern European they give similar results

[Kenshiro]

Target: Kenshiro_Scaled
Distance: 3.6789% / 0.03678878
62.0 TUR_Catalhoyuk_N_Ceramic
18.8 RUS_Karelia_HG
12.6 GEO_CHG
4.2 ITA_Villabruna
1.8 IRN_Ganj_Dareh_N
0.6 IRN_Shahr_I_Sokhta_BA2_I8728