MEC Calculator (WIP)

[Petalpusher]

So im trying to create a model that makes sense, i will call it Main Events Calculator

So far some populations it produces good fits with logical proportions of events but i need to add a few more samples. Anyone would have Taforalt or IBM on Gedmatch?


Target: English
Distance: 0.9588% / 0.95877435
47.3 Europe_EN
42.2 Steppe_EMBA
10.5 WHG

Target: Spanish
Distance: 0.5447% / 0.54470464
62.5 Europe_EN
30.8 Steppe_EMBA
3.9 WHG
1.4 Steppe_MLBA
1.4 Yoruba

Target: Finnish
Distance: 0.2697% / 0.26971440
27.7 Steppe_EMBA
26.2 Europe_EN
16.3 WHG
13.6 Steppe_MLBA
10.2 Steppe_IA
6.0 Nganasan

Target: Algerian
Distance: 3.7500% / 3.74996741
43.7 Taforalt
36.8 Europe_EN
14.3 Iran_N
5.2 Yoruba

Target: Albanian
Distance: 1.5646% / 1.56458496
56.8 Europe_EN
21.8 Iran_N
21.4 Steppe_EMBA

Target: Ukrainian
Distance: 0.5926% / 0.59259532
38.7 Europe_EN
34.6 Steppe_EMBA
12.0 Steppe_MLBA
9.2 WHG
5.1 Steppe_IA
0.4 Nganasan

Target: Italian_South
Distance: 2.5424% / 2.54243838
54.2 Europe_EN
39.5 Iran_N
6.3 Steppe_EMBA

Target: Sardinian
Distance: 0.8460% / 0.84601771
78.3 Europe_EN
14.0 Iran_N
7.4 VillabrunaWHG
0.3 Taforalt

Target: Norwegian
Distance: 0.9002% / 0.90015468
43.0 Steppe_EMBA
40.6 Europe_EN
11.1 WHG
5.3 Steppe_MLBA


Target: Petalpusher
Distance: 1.6245% / 1.62446001
49.5 Europe_EN
42.9 Steppe_EMBA
7.6 WHG


Just tried a few regular Euros, Finns and Spain is what i like to see i think the fits are great, they shouldn't need more samples, it's a good characterization imo of their population movements, but need Taforalt for NA's and maybe some Levant chalcolithic or something like that in some cases.

What i want to model is really the successive events, Early neo going into Europe meeting the local WHG, replacing them, eventually re acquiring some, then different groups of steepe invadors. Finally some more "southern steppe" type, that would score as Iran_N here.

https://i.postimg.cc/Mw52vDky/Ancient-Eurasia-PCA.jpg


If you want to try it, copy paste this in "source" of ancient-eurasia-k6-vahaduo


Europe_EN,0.80,0.20,0.00,43.20,55.80,0.00
Iran_N,39.40,5.30,1.60,6.40,45.10,2.20
Mota,3.70,5.71,0.10,1.80,5.71,82.98
Nganasan,5.90,0.00,91.30,2.80,0.00,0.00
Onge,0.10,86.89,13.01,0.00,0.00,0.00
Papuan,0.00,100.00,0.00,0.00,0.00,0.00
Steppe_EMBA,40.92,2.40,1.10,33.93,21.16,0.50
Steppe_Eneolithic,39.64,7.31,0.90,44.14,7.61,0.40
Steppe_IA,31.80,2.60,13.20,29.70,22.50,0.20
Steppe_MLBA,26.67,2.00,0.90,42.76,27.17,0.50
Taforalt,4.13,5.1,2.33,13.2,35,40.24
VillabrunaWHG,0.00,0.00,0.00,100.00,0.00,0.00
Yoruba,0.00,0.00,0.00,0.00,0.00,100.00

Alternative Set ("v2")

Anatolia_N,1.90,0.00,0.00,36.44,61.46,0.20
Taforalt,3.15,2.8,2.80,14.19,35.48,41.58
Iran_N,39.40,5.30,1.60,6.40,45.10,2.20
Nganasan,5.90,0.00,91.30,2.80,0.00,0.00
Onge,0.10,86.89,13.01,0.00,0.00,0.00
Papuan,0.00,100.00,0.00,0.00,0.00,0.00
Mota,3.70,5.71,0.10,1.80,5.71,82.98
Steppe_EMBA,40.92,2.40,1.10,33.93,21.16,0.50
Steppe_Eneolithic,39.64,7.31,0.90,44.14,7.61,0.40
Steppe_IA,31.80,2.60,13.20,29.70,22.50,0.20
VillabrunaWHG,0.00,0.00,0.00,100.00,0.00,0.00
Yoruba,0.00,0.00,0.00,0.00,0.00,100.00

then put your own K6 in "target"

click RUN in Single mode



Edit: Added Taforalt

[Kyp]

Target: Kyp
Distance: 0.9218% / 0.92184877
35.5 Europe_EN
24.3 Iran_N
23.3 Steppe_EMBA
12.8 Steppe_IA
4.1 Nganasan

[Dr_Maul]

Target: DrMaul
Distance: 1.2867% / 1.28673452
86.0 Iran_N
11.3 Europe_EN
2.2 Onge
0.5 Nganasan

[gixajo]

Not bad at all, considering Gedrosia k6 has just 6 components.

Target: gixajo
Distance: 1.0161% / 1.01608594
60.3 Europe_EN
28.1 Steppe_EMBA
11.3 WHG
0.3 Yoruba

[Impaler]

Target: Impaler
Distance: 0.6519% / 0.65190916
38.2 Europe_EN
26.5 Iran_N
18.9 Steppe_EMBA
8.9 Steppe_IA
5.8 Steppe_MLBA
1.7 Papuan

[Petalpusher]

Not bad at all, considering Gedrosia k6 has just 6 components.

Target: gixajo
Distance: 1.0161% / 1.01608594
60.3 Europe_EN
28.1 Steppe_EMBA
11.3 WHG
0.3 Yoruba

Are you ethnically Basque? i mean really from a Basque region or Andorra?

[J. Ketch]

Target: Creoda
Distance: 1.0673% / 1.06731410
51.3 Steppe_EMBA
43.2 Europe_EN
5.5 WHG

Target: CreodaMum
Distance: 0.7499% / 0.74992077
41.5 Europe_EN
38.2 Steppe_EMBA
14.8 Steppe_MLBA
4.4 WHG
1.1 Steppe_Eneolithic

Target: CreodaDad
Distance: 1.7642% / 1.76416077
47.2 Steppe_EMBA
42.5 Europe_EN
10.3 WHG

[Celestia]

Target: Celestia
Distance: 142.1387% / 1.42138694
55.0 Europe_EN
36.8 Steppe_EMBA
8.2 WHG

[Jana]

Target: Stearsolina
Distance: 1.5298% / 1.52975070

51.2 Europe_EN
47.2 Steppe_EMBA
1.6 WHG

Target: Stears
Distance: 0.2964% / 0.29639281

41.4 Europe_EN
36.7 Steppe_EMBA
13.6 Steppe_MLBA
7.1 Iran_N
0.5 Yoruba
0.4 Nganasan
0.3 Steppe_IA

[Jana]

Could you add CHG sample? I'm curious because it usually lowers fit for me.

[gixajo]

Target: DrMaul
an

I´ve tried to find Mar_Taforalt or any IBM among my parents and my "ancient matches" in Gedmatch but we don´t match them or they aren´t in Gedmatch (quite strange).

Maybe you can find kit numbers here:

https://anthrogenica.com/showthread.php?8672-List-of-ancient-samples-on-GEDmatch

I´ve found some Tur_Barcin kit numbers if you want to check them:

https://i.imgur.com/uM5gil5.png

[Luso]

Target: Luso
Distance: 158.0291% / 1.58029099
58.6 Europe_EN
35.2 Steppe_EMBA
6.2 Iran_N

Interesting that I don't get any whg

[Jana]

My parents

Target: Dad
Distance: 1.4383% / 1.43827514

50.6 Steppe_EMBA
48.2 Europe_EN
0.6 Nganasan
0.5 Yoruba
0.1 WHG

Target: Mom
Distance: 0.6754% / 0.67538473

49.1 Europe_EN
45.3 Steppe_EMBA
5.6 Iran_N

[gixajo]

Are you ethnically Basque? i mean really from a Basque region or Andorra?

My mother and her family are from Álava province, Southern province of Basque Country, my paternal side is from Jaén, Andalusia.

My WHG is quite low, my EN too high, and my Steppe slighty low, my 0.3 SSA could be ok without IBM.

This is for example what I scored usually in this type of ancient model:

With averages:

Target: gixajo_scaled
Distance: 3.7422% / 0.03742166
54.6 TUR_Barcin_N
29.0 Yamnaya_RUS_Samara
14.2 WHG
2.2 MAR_Taforalt

With individual samples:

Target: gixajo_scaled
Distance: 2.6934% / 0.02693390
55.6 Early_European_Farmer
28.4 Steppe_Pastoralist
14.2 Western_Hunter-Gatherer
1.8 Iberomaurusian

[michal3141]

I assume this is based on Ancient Eurasia K6 gedmatch calculator

Model with ADC: 0.0x RC

Target: michal3141
Distance: 1.0929% / 1.09291117
49.4 Steppe_EMBA
41.3 Europe_EN
5.8 WHG
3.5 Nganasan

Other models:

Target: michal3141
Distance: 9.5293% / 9.52934940 | ADC: 2x RC
100.0 Steppe_MLBA

Target: michal3141
Distance: 4.0756% / 4.07560817 | ADC: 1x RC
77.7 Steppe_MLBA
22.3 Europe_EN

Target: michal3141
Distance: 1.6482% / 1.64819806 | ADC: 0.5x RC
52.7 Steppe_MLBA
26.3 Europe_EN
21.0 Steppe_IA

Target: michal3141
Distance: 1.5006% / 1.50059777 | ADC: 0.25x RC
59.5 Steppe_MLBA
25.2 Europe_EN
13.9 Steppe_IA
1.4 Nganasan

[gixajo]

So im trying to create a model that makes sense, i will call it Main Events Calculator



And in this site maybe you can find some of them with some patience:

https://reich.hms.harvard.edu/datasets

[Petalpusher]

I´ve tried to find Mar_Taforalt or any IBM among my parents and my "ancient matches" in Gedmatch but we don´t match them or they aren´t in Gedmatch (quite strange).

Maybe you can find kit numbers here:

https://anthrogenica.com/showthread.php?8672-List-of-ancient-samples-on-GEDmatch

I´ve found some Tur_Barcin kit numbers if you want to check them:

https://i.imgur.com/uM5gil5.png

Europe_EN shouldn't be too different from Barcin_N, i can try but i believe it might just increase the WHG and lower the Europe_EN (and as you demonstrated with another model, it does).

Main difference with what im trying to achieve here is having different sort of steppe and two very distinctive groups of farmers (Barcin and Iran)

Same goes for CHG / Iran_N, we can swap them and see what happens. CHG might decrease the steppe a bit

What i really need is Taforalt.


Everybody's WHG is gonna appear low, as there is already a crap ton in the Europe_EN, i just wanted to show possibly what was reaquired during the transitions from the hunters remnants. Anything more than 5-10% is really high here.

[Leto]

Target: Leto
Distance: 1.2942% / 1.29418326
42.2 Steppe_EMBA
41.0 Europe_EN
10.5 WHG
6.3 Nganasan

[IceQueen]

Target: Ice
Distance: 156.1537% / 1.56153655
52.8 Steppe_EMBA
43.0 Europe_EN
4.2 WHG

[Dušan]

Target: Dušan
Distance: 0.5878% / 0.58781224
40.8 Europe_EN
20.8 Steppe_EMBA
15.8 Steppe_MLBA
15.7 Iran_N
3.2 WHG
2.2 Steppe_IA
1.4 Papuan
0.1 Steppe_Eneolithic

[Brás Garcia de Mascarenhas]

Target: Viriato
Distance: 0.3602% / 0.36021883
50.9 Europe_EN
17.8 Steppe_MLBA
11.5 Iran_N
11.2 Steppe_EMBA
5.9 Steppe_IA
1.4 Yoruba
0.8 Nganasan
0.5 WHG


Distance to: Viriato
19.43506882 Steppe_MLBA
21.87376282 Europe_EN
28.35886986 Steppe_IA
32.57422601 Steppe_EMBA
38.26695049 Iran_N
42.92876774 Steppe_Eneolithic
78.05168480 WHG
96.38060334 Mota
104.13111975 Onge
104.84232685 Nganasan
114.03536951 Yoruba
114.67373501 Papuan

[cakmir7y]

<tbody>
Target: my wife
Distance: 1.1355% / 1.13545520





47.1
Europe_EN







38.8
Steppe_EMBA






12.4
WHG






1.7
Nganasan



</tbody>



<tbody>
Target: me
Distance: 1.3146% / 1.31458586





46.8
Europe_EN






42.6
Steppe_EMBA






8.3
WHG






2.3
Nganasan



</tbody>

[Dušan]

Can someone explain what these results mean?

[Coastal Elite]

Target: Daco
Distance: 1.4359% / 1.43585626
50.5 Europe_EN
46.4 Steppe_EMBA
2.3 WHG
0.8 Nganasan

[Petalpusher]

I ve added Taforalt in the original post.

For most Europeans it might not change anything, which is a good sign that it prefers other groups but you can run it again with the updated sheet and see if anything happens. For Algeria it's much better and puts it as the main component:

Target: Algerian
Distance: 3.7500% / 3.74996741
43.7 Taforalt
36.8 Europe_EN
14.3 Iran_N
5.2 Yoruba

Without Taforalt:

Target: Algerian
Distance: 5.3731% / 5.37308669
54.0 Europe_EN
23.3 Iran_N
22.7 Yoruba



Still looking for IBM and if it could discriminate the two

[Brás Garcia de Mascarenhas]

With Taforalt:


Target: Viriato
Distance: 0.3804% / 0.38035670
52.0 Europe_EN
20.9 Steppe_EMBA
12.9 Steppe_MLBA
8.2 Iran_N
3.6 Taforalt
1.4 Nganasan
1.0 Steppe_IA

[Luso]

I ve added Taforalt in the original post.

For most Europeans it might not change anything, which is a good sign that it prefers other groups but you can run it again with the updated sheet and see if anything happens. For Algeria it's much better and puts it as the main component:

Target: Algerian
Distance: 3.7500% / 3.74996741
43.7 Taforalt
36.8 Europe_EN
14.3 Iran_N
5.2 Yoruba

Still looking for IBM and if it could discriminate the two

it didn't change anything for me... I think the calc is just too small and simple to be able to make the component apparent.

Target: Luso
Distance: 158.0291% / 1.58029099
58.6 Europe_EN
35.2 Steppe_EMBA
6.2 Iran_N


Distance to: Luso
19.22253625 Steppe_MLBA
21.75618763 Europe_EN
29.60333934 Steppe_IA
32.38774460 Steppe_EMBA
38.62641195 Iran_N
42.99988256 Steppe_Eneolithic
49.77590481 Taforalt
77.84900577 WHG
98.77364983 Mota
106.57329262 Onge
107.57306215 Nganasan
116.33773120 Yoruba
116.81809663 Papuan

[Petalpusher]

it didn't change anything for me... I think the calc is just too small and simple to be able to make the component apparent.

It works for Viriato, all his Yoruba transforms into Taforalt/IBM. You sure you don't have an error somewhere cause the distance was big and didn't show any Yoruba, i think you score 2-3% in other calcs?

[Luso]

It works for Viriato, all his Yoruba transforms into Taforalt/IBM. You sure you don't have an error somewhere cause the distance was big for you and didn't show any Yoruba, i think you score 2-3% in other calcs?

this calc is very weird for me. No error, but here is all the info you'd need to double-check:

Admix Results (sorted):

# Population Percent
1 Natufian 43.44
2 West_European_Hunter_Gartherer 37.93
3 Ancestral_North_Eurasian 17.9
4 Sub_Saharan 0.56
5 East_Asian 0.16

Single Population Sharing:

# Population (source) Distance
1 Romanian 2.54
2 Bulgarian 2.88
3 Albanian 5.47
4 Croatian 5.51
5 Spanish 6.3
6 Greek 7.24
7 French 8.16
8 Hungarian 8.7
9 Sicilian 10.27
10 English 10.95
11 Czech 11
12 Italian_South 11.64
13 Scottish 12.24
14 Ukrainian 12.31
15 Jew_Ashkenazi 12.47
16 Norwegian 12.96
17 Basque 13.15
18 Sardinian 14.29
19 Icelandic 14.76
20 Europe_LNBA 15.83

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 58.8% French + 41.2% Italian_South @ 0.53
2 60% Albanian + 40% French @ 0.68
3 78% Europe_EN + 22% EHG @ 0.74
4 73.6% French + 26.4% Cypriot @ 0.85
5 92.5% Albanian + 7.5% Motala12 @ 0.91
6 66.9% Albanian + 33.1% English @ 0.96
7 53% Greek + 47% French @ 0.98
8 87% Italian_South + 13% Hungarian_KO1 @ 0.98
9 87% Italian_South + 13% WHG @ 0.98
10 93.5% Albanian + 6.5% Hungarian_KO1 @ 1
11 93.5% Albanian + 6.5% WHG @ 1
12 92.3% Albanian + 7.7% SHG @ 1.02
13 91.5% Greek + 8.5% Hungarian_KO1 @ 1.03
14 91.5% Greek + 8.5% WHG @ 1.03
15 87.7% Sardinian + 12.3% AG2 @ 1.08
16 87.7% Sardinian + 12.3% AG3 @ 1.08
17 87.7% Sardinian + 12.3% MA1 @ 1.08
18 85.1% Italian_South + 14.9% Motala12 @ 1.09
19 69.6% Basque + 30.4% Georgian @ 1.09
20 55.8% French + 44.2% Sicilian @ 1.14

[Brás Garcia de Mascarenhas]

it didn't change anything for me... I think the calc is just too small and simple to be able to make the component apparent.

Target: Luso
Distance: 158.0291% / 1.58029099
58.6 Europe_EN
35.2 Steppe_EMBA
6.2 Iran_N


Distance to: Luso
19.22253625 Steppe_MLBA
21.75618763 Europe_EN
29.60333934 Steppe_IA
32.38774460 Steppe_EMBA
38.62641195 Iran_N
42.99988256 Steppe_Eneolithic
49.77590481 Taforalt
77.84900577 WHG
98.77364983 Mota
106.57329262 Onge
107.57306215 Nganasan
116.33773120 Yoruba
116.81809663 Papuan

You are using the G25 Vahaduo model, hence why the distance. Use this: http://vahaduo.genetics.ovh/ancient-eurasia-k6-vahaduo.htm

The calculator you need to be using is Gedrosia Ancient Eurasia K6.

[Scandal]

R3P


Target: Universe
Distance: 2.3424% / 2.34243253 | R3P
62.4 Steppe_MLBA
35.0 Europe_EN
2.6 WHG

R2P


Target: Universe
Distance: 2.9658% / 2.96583428 | R2P
65.1 Steppe_MLBA
34.9 Europe_EN

Without RP restriction, I think that's an overfit


Target: Universe
Distance: 0.3726% / 0.37258904
41.9 Europe_EN
15.1 Steppe_EMBA
14.8 Steppe_MLBA
11.2 WHG
8.6 Steppe_IA
7.3 Iran_N
1.1 Nganasan

[Petalpusher]

R3P


Target: Universe
Distance: 2.3424% / 2.34243253 | R3P
62.4 Steppe_MLBA
35.0 Europe_EN
2.6 WHG

R2P


Target: Universe
Distance: 2.9658% / 2.96583428 | R2P
65.1 Steppe_MLBA
34.9 Europe_EN

Without RP restriction, I think that's an overfit


Target: Universe
Distance: 0.3726% / 0.37258904
41.9 Europe_EN
15.1 Steppe_EMBA
14.8 Steppe_MLBA
11.2 WHG
8.6 Steppe_IA
7.3 Iran_N
1.1 Nganasan


I would say you need to allow at least 5 components for it. You can limit to 5 but no less.

[Scandal]

R5P


Target: Universe
Distance: 0.2359% / 0.23591235 | R5P
40.2 Europe_EN
31.3 Steppe_MLBA
17.2 Steppe_IA
6.3 WHG
5.0 Steppe_EMBA

R4P


Target: Universe
Distance: 0.2541% / 0.25410604 | R4P
38.9 Steppe_MLBA
38.4 Europe_EN
17.2 Steppe_IA
5.5 WHG

[Dušan]

I would say you need to allow at least 5 components for it. You can limit to 5 but no less.


Mine with 5 components

Target: Dušan
Distance: 0.5885% / 0.58849886 | R5P
48.9 Europe_EN
27.0 Steppe_Eneolithic
18.3 Iran_N
3.2 Steppe_MLBA
2.6 Steppe_IA


Can you please explain?

All these steppes seems simmilar and easy changable. First time I got 0.1% Steppe_Eneolithic, now 27%.

[gixajo]

I ve added Taforalt in the original post.

For most Europeans it might not change anything, which is a good sign that it prefers other groups but you can run it again with the updated sheet and see if anything happens. For Algeria it's much better and puts it as the main component:

Target: Algerian
Distance: 3.7500% / 3.74996741
43.7 Taforalt
36.8 Europe_EN
14.3 Iran_N
5.2 Yoruba

Without Taforalt:

Target: Algerian
Distance: 5.3731% / 5.37308669
54.0 Europe_EN
23.3 Iran_N
22.7 Yoruba



Still looking for IBM and if it could discriminate the two

Maybe you should try to add some different Hunter-Gatherers from WHG, as those from Caucasus, Baltic or Eastern ones, because those some people who should score WHG is not scoring any, and some others that shouldn´t score so much are scoring a lot.

[Pedro Ruben]

Target: Pedro
Distance: 1.2663% / 1.26630888
55.8 Europe_EN
31.1 Steppe_EMBA
6.4 Yoruba
5.4 Iran_N
1.3 Nganasan

Target: Dad
Distance: 1.4764% / 1.47640095
55.5 Europe_EN
31.3 Steppe_EMBA
9.4 Taforalt
3.3 Nganasan
0.5 WHG

Target: Mom
Distance: 0.5426% / 0.54261430
48.0 Europe_EN
20.2 Iran_N
9.0 WHG
8.3 Steppe_MLBA
5.0 Steppe_Eneolithic
4.1 Mota
3.7 Steppe_EMBA
1.0 Papuan
0.4 Yoruba
0.3 Taforalt

[Petalpusher]

Maybe you should try to add some different Hunter-Gatherers from WHG, as those from Caucasus, Baltic or Eastern ones, because those some people who should score WHG is not scoring any, and some others that shouldn´t score so much are scoring a lot.

I ve tried it, it sucks most of the Steppe because it's EHG + CHG/Iran_N

This is what i score with EHG and it's not right anymore:

Target: Petalpusher
Distance: 0.9327% / 0.93272455
72.6 KareliaEHG
14.0 Europe_EN
11.8 Steppe_EMBA
1.6 VillabrunaWHG

[Scandal]

Can someone explain what these results mean?
Europe was populated in different waves by different races who mixed with each other and created modern Europeans.

[Abdelnour]

Target: Abdelnour
Distance: 581.1037% / 5.81103713
63.4 Iran_N
35.4 Europe_EN
1.2 Nganasan

[gixajo]

I ve tried it, it sucks most of the Steppe because it's EHG + CHG/Iran_N

G

It´s not easy to emulate our typical G25 ancient component model results with Gedmatch calculator samples, and more difficult with Gedrosia calculators, based in so few components.

In our case, is not so bad.

It would be necessary to establish a new standard for this calculator.(I mean as you did in you first post, showing how every country/ethnic group score in your model).

I run the model wit Taforalt, but it don´t work as it should work, mi Yoruba is now "Mota":

Target: gixajo
Distance: 1.0340% / 1.03403645
60.3 Europe_EN
28.1 Steppe_EMBA
11.3 WHG
0.3 Mota

Target: gixajo_dad
Distance: 1.0153% / 1.01529542
62.1 Europe_EN
22.2 Steppe_EMBA
11.3 Steppe_MLBA
2.4 WHG
2.0 Mota

Target: gixajo_mom
Distance: 0.9194% / 0.91943248
59.2 Europe_EN
27.2 Steppe_EMBA
13.6 WHG

[mitalit]

Target: Spaniard2.0
Distance: 0.2489% / 0.24885974 | R5P
36.2 Anatolia_N
24.1 Iran_LN
23.5 Hungarian_KO1
13.4 CHG
2.8 Yoruba

Target: Mom
Distance: 0.3894% / 0.38936437 | R5P
46.5 Levant_BA
22.2 Anatolia_N
14.2 WHG
10.7 SHG
6.4 EHG

Target: Dad
Distance: 0.8323% / 0.83225229 | R5P
30.4 Levant_BA
23.4 Anatolia_N
18.4 Europe_EN
14.6 EHG
13.2 WHG

Without R5P

Target: Spaniard2.0
Distance: 0.1692% / 0.16921707
10.0 Motala12
9.5 CHG
9.0 Levant_N
8.9 Europe_EN
8.9 Europe_LNBA
8.7 Anatolia_N
7.8 Natufian
7.7 Hungarian_KO1
6.7 WHG
5.0 Levant_BA
3.5 Steppe_Eneolithic
2.5 Armenia_ChL
2.2 Yoruba
2.1 Iran_LN
1.7 AG2
1.5 Steppe_EMBA
1.1 EHG
1.1 Mota
0.9 MA1
0.6 AG3
0.6 Papuan


Target: Mom
Distance: 0.1386% / 0.13858964
11.9 Natufian
10.9 Motala12
10.3 Europe_LNBA
9.7 Levant_N
9.4 Anatolia_N
8.9 Europe_EN
8.3 WHG
6.5 Hungarian_KO1
5.6 CHG
4.9 Levant_BA
2.3 AG2
2.2 Armenia_ChL
2.0 EHG
1.3 MA1
1.2 Steppe_Eneolithic
1.1 Steppe_EMBA
1.0 Iran_LN
0.9 Mota
0.9 Yoruba
0.7 AG3


Target: Dad
Distance: 0.1432% / 0.14316518
14.6 Anatolia_N
14.6 Natufian
11.7 Hungarian_KO1
11.5 Levant_N
10.9 Europe_EN
8.5 WHG
7.9 Europe_LNBA
7.6 AG3
3.3 MA1
3.2 EHG
2.5 Motala12
1.7 AG2
1.7 Yoruba
0.3 Levant_BA

[Petalpusher]

It´s not easy to emulate our typical G25 ancient component model results with Gedmatch calculator samples, and more difficult with Gedrosia calculators, based in so few components.

In our case, is not so bad.

It would be necessary to establish a new standard for this calculator.(I mean as you did in you first post, showing how every country/ethnic group score in your model).

I run the model wit Taforalt, but it don´t work as it should work, mi Yoruba is now "Mota":

Target: gixajo
Distance: 1.0340% / 1.03403645
60.3 Europe_EN
28.1 Steppe_EMBA
11.3 WHG
0.3 Mota

Target: gixajo_dad
Distance: 1.0153% / 1.01529542
62.1 Europe_EN
22.2 Steppe_EMBA
11.3 Steppe_MLBA
2.4 WHG
2.0 Mota

Target: gixajo_mom
Distance: 0.9194% / 0.91943248
59.2 Europe_EN
27.2 Steppe_EMBA
13.6 WHG

Well if it prefers Mota over Taforalt, it could indicate that you don't have any IBM/Taforalt and it's a more ancient thing, that's why i left Mota, rather East African than West Africa, complicated to guess in any calc though.

Adding or removing a single component can totally screw up the whole calculator as i ve tried with EHG. Anyhow Europeans are that admix in reality, we are a mix of mostly Neolithic and Steppe with some resurgence of Hunters-gatherers (ofc there is some in both already). It's important to get the EN right, they all cluster together even if geographically very distant. Then it comes down to individuals, you may or may not score something else. Southeast will have some tendency towards Iran_N that is an excess and cannot fit in the steppe alone, and few other phenomenons elsewhere on the fringe of Europe. Im satisfied with the results as a whole.

In your case IBM might work better, i can't find the kit number for the life of me...went through dozens of pages on anthrogenica too.

[Petalpusher]

Trying S.Italy (so far the highest Iran_N i found in Europe)


Target: Italian_South
Distance: 2.5424% / 2.54243838
54.2 Europe_EN
39.5 Iran_N
6.3 Steppe_EMBA

And Sardinia

Target: Sardinian
Distance: 0.8460% / 0.84601771
78.3 Europe_EN
14.0 Iran_N
7.4 VillabrunaWHG
0.3 Taforalt

No Steppe as it should be, lots of Early farmer and also the Iran type.

If a calculator gives Sardinia some relevant Steppe, you can tell it's wrong right away, so you can look for that in general.


Bonus

Target: Pashtun_Afghan
Distance: 4.3357% / 4.33567310
74.9 Iran_N
9.9 Steppe_Eneolithic
8.9 Nganasan
6.3 Papuan

Target: Saudi
Distance: 1.34866% / 1.348658547
57.2 Iran_N
32.3 Europe_EN
10.5 Taforalt

Target: Turkish
Distance: 2.3136% / 2.31358258
61.2 Iran_N
32.9 Europe_EN
5.9 Nganasan

Target: Gambian
Distance: 0.2010% / 0.20097945
93.3 Yoruba
3.3 Taforalt
2.7 Mota
0.7 Papuan

Target: Punjabi
Distance: 12.7408% / 12.74079056
74.5 Iran_N
13.7 Papuan
6.2 Nganasan
5.6 Steppe_Eneolithic

Target: Jew_Ashkenazi
Distance: 1.3023% / 1.30233083
52.9 Europe_EN
39.6 Iran_N
4.0 Steppe_EMBA
3.5 Taforalt


Also interesting, as the jews came into Europe well after the BA expansion, so they have less than S.Italy even if they cluster very close.

[Defcon2]

Target: Defcon2
Distance: 1.9117% / 1.91167549
56.3 Europe_EN
31.8 Steppe_EMBA
11.6 Iran_N
0.3 Mota

[noricum]

Target: noricum(austrian)
Distance: 0.6603% / 0.66032688
43.1 Europe_EN
36.7 Steppe_EMBA
17.1 Steppe_MLBA
3.1 VillabrunaWHG

Target: noricum_sisinlaw(austrian)
Distance: 1.3954% / 1.39538007
48.3 Europe_EN
46.6 Steppe_EMBA
4.4 VillabrunaWHG
0.7 Yoruba

arget: noricum_halfbro(austrian)
Distance: 0.5364% / 0.53640187
33.7 Europe_EN
15.6 Iran_N
14.5 Steppe_MLBA
12.9 VillabrunaWHG
9.7 Steppe_IA
9.4 Steppe_EMBA
2.0 Nganasan
1.7 Steppe_Eneolithic
0.5 Papuan

[Rædwald]

Target: Raedwald
Distance: 144.2992% / 1.44299207
43.6 Europe_EN
40.6 Steppe_EMBA
8.0 Steppe_MLBA
5.4 VillabrunaWHG
2.4 Nganasan

[Longbowman]

Longbowman (Jewish mixed)

52.9 Europe EN
46.2 Iran N
0.7 Taforalt
0.2 Steppe_EMBA

Distance to: Target
25.65167831 Europe_EN
29.24470208 Iran_N
30.10833107 Steppe_MLBA
34.06344962 Steppe_IA
37.81503537 Steppe_EMBA
46.41032428 Taforalt
51.73321564 Steppe_Eneolithic
91.86072392 VillabrunaWHG
97.47511272 Mota
106.23694179 Onge
107.81227481 Nganasan
115.30998482 Yoruba
116.46627237 Papuan

Lotusflower (Eurasian)

52.8 Nganasan
28.9 Europe EN
14.1 Steppe_IA
3.0 Villabruna WHG
1.0 Onge
0.1 Steppe EMBA
0.1 Steppe MLBA

Distance to: Target
44.97498193 Steppe_IA
49.09428684 Nganasan
57.50709869 Steppe_MLBA
60.54828569 Steppe_EMBA
64.31098195 Steppe_Eneolithic
65.17230240 Taforalt
65.24105303 Iran_N
66.19104924 Europe_EN
95.72205075 VillabrunaWHG
97.93334366 Onge
99.97723741 Mota
114.65038596 Papuan
115.79598870 Yoruba

Longbowman's mum (Jewish mixed)

50.3 Europe EN
36.3 Iran N
10.8 Steppe EMBA
2.6 Yoruba

Distance to: Target
26.13586616 Europe_EN
26.27793942 Steppe_MLBA
29.78928499 Iran_N
31.05883932 Steppe_IA
34.42266986 Steppe_EMBA
44.38505041 Taforalt
47.98362950 Steppe_Eneolithic
88.56278846 VillabrunaWHG
94.66506800 Mota
105.79457311 Onge
107.05556268 Nganasan
112.45162293 Yoruba
116.09206476 Papuan

Longbowman's Dad (Ashkenazi)

50.7 Europe EN
35.1 Iran N
7.7 Steppe EMBA
3.7 Nganasan
2.8 Taforalt

Distance to: Target
25.47676196 Europe_EN
26.81767701 Steppe_MLBA
29.67314274 Steppe_IA
30.39627280 Iran_N
35.33964771 Steppe_EMBA
44.70348980 Taforalt
48.47660054 Steppe_Eneolithic
88.49619992 VillabrunaWHG
95.47763298 Mota
102.65683319 Nganasan
103.36391150 Onge
113.38243868 Yoruba
114.21723775 Papuan

[Damião de Góis]

Target: Damião_de_Góis
Distance: 0.6665% / 0.66649302
58.7 Europe_EN
33.2 Steppe_EMBA
4.9 Steppe_MLBA
3.2 Yoruba


Seems i have no taforalt or WHG. But then again, i was always suspicious of non eurogenes or non dodecad calculators as it's the case with GedrosiaDNA.

[Petalpusher]

Lotusflower (Eurasian)


Eurasian as in, mixed Eurasian?

Single distant shouldn't be close without modern in there but okay you can see what you are closest to if anything. Here goes nothing:

Distance to: Petalpusher
13.15699434 Steppe_MLBA
25.74451981 Europe_EN
27.90362521 Steppe_IA
29.41979946 Steppe_EMBA
37.07703737 Steppe_Eneolithic
44.11791360 Iran_N
53.10025141 Taforalt
69.74984086 VillabrunaWHG
99.62220385 Mota
106.74480081 Onge
107.65926946 Nganasan
116.95742943 Papuan
116.95742943 Yoruba

R1b gonna R1b



Target: Damião_de_Góis
Distance: 0.6665% / 0.66649302
58.7 Europe_EN
33.2 Steppe_EMBA
4.9 Steppe_MLBA
3.2 Yoruba


Seems i have no taforalt or WHG. But then again, i was always suspicious of non eurogenes or non dodecad calculators as it's the case with GedrosiaDNA.

You have plenty of WHG, just in the Europe EN and Steppe (more EHG like). What you don't score is any excess of it, out of the those two. And fit prefers just SSA over Taforalt. Still looking for IBM kit as the last piece of the calc...

[Longbowman]

Eurasian as in, mixed Eurasian?

half chinese half white

[Petalpusher]

half chinese half white

Ok that makes sense now. I would guess east Europe?

[Tacitus]

Target: Damião_de_Góis
Distance: 0.6665% / 0.66649302
58.7 Europe_EN
33.2 Steppe_EMBA
4.9 Steppe_MLBA
3.2 Yoruba


Seems i have no taforalt or WHG. But then again, i was always suspicious of non eurogenes or non dodecad calculators as it's the case with GedrosiaDNA.

To be fair, Europe_EN has WHG baked into it already, but for some reason Iberians here aren't scoring much in excess:
Target: Europe_EN
Distance: 1.1401% / 1.14013683 | ADC: 0.25x RC
90.0 Anatolia_N
10.0 WHG

[Longbowman]

Ok that makes sense now. I would guess east Europe?

You would guess wrong, 1/8 Southtirol Kraut, 1/8 Istrian Italian, 1/4 English with some Welsh

[Petalpusher]

To be fair, Europe_EN has WHG baked into it already, but for some reason Iberians here aren't scoring much in excess:
Target: Europe_EN
Distance: 1.1401% / 1.14013683 | ADC: 0.25x RC
90.0 Anatolia_N
10.0 WHG

Yeah and Barcin/Anatolia_N has some in itself too...ultimately if we had a great basal source it would make things easier, it has to do for now, skipping to the first event inside Europe and go from there. One day maybe we ll get that magic sample.

[PT Tagus]

Target: Endovelicus
Distance: 1.4826% / 1.48262716
60.0 Europe_EN
30.3 Steppe_EMBA
6.1 Iran_N
3.6 Yoruba

[Helen]

Target: Helen
Distance: 0.5098% / 0.50979162 | R4P
62.7 Europe_EN
23.1 Steppe_Eneolithic
12.3 Iran_N
1.9 Mota

Target: Helen's_dad
Distance: 1.2759% / 1.27588820
68.2 Europe_EN
28.2 Steppe_EMBA
2.9 Iran_N
0.7 Mota

[Petalpusher]

Swapped the Taforalt/IBM for a better quality sample (less noisy), it does work with the Spanish average to make Taforalt pop. Barcin_N in place of Europe_EN, that has the effect of increasing the WHG and make appear some low steppe in Sardinians, as it's 10 times lower than other Euro, it's still acceptable.

You can try this alternative dataset, it generally improve the fits for most pop, i don't think it's night and day, it may or may not work better for some.

For me it just increases the WHG and lower the ENF which is now Barcin

Target: Petalpusher
Distance: 1.5304% / 1.53040695
45.4 Anatolia_N
41.8 Steppe_EMBA
12.8 VillabrunaWHG




Anatolia_N,1.90,0.00,0.00,36.44,61.46,0.20
Taforalt,3.15,2.8,2.80,14.19,35.48,41.58
Iran_N,39.40,5.30,1.60,6.40,45.10,2.20
Nganasan,5.90,0.00,91.30,2.80,0.00,0.00
Onge,0.10,86.89,13.01,0.00,0.00,0.00
Papuan,0.00,100.00,0.00,0.00,0.00,0.00
Mota,3.70,5.71,0.10,1.80,5.71,82.98
Steppe_EMBA,40.92,2.40,1.10,33.93,21.16,0.50
Steppe_Eneolithic,39.64,7.31,0.90,44.14,7.61,0.40
Steppe_IA,31.80,2.60,13.20,29.70,22.50,0.20
VillabrunaWHG,0.00,0.00,0.00,100.00,0.00,0.00
Yoruba,0.00,0.00,0.00,0.00,0.00,100.00


Some rerun

https://i.postimg.cc/0x3Wt8zy/Capture-WECv3.jpg

https://i.postimg.cc/6B6Rsmb1/Capturerer1.jpg

[Helen]

Target: Helen
Distance: 0.5001% / 0.50008449 | R4P
62.4 Anatolia_N
32.8 Steppe_Eneolithic
4.0 Taforalt
0.8 Steppe_EMBA

Target: Helen's_dad
Distance: 0.9827% / 0.98268664
63.8 Anatolia_N
29.6 Steppe_EMBA
5.9 VillabrunaWHG
0.7 Mota

[Lemminkäinen]

Nice calculator

Target: Mm
Distance: 1.3428% / 1.34277682
44.3 Steppe_EMBA
35.5 Europe_EN
14.4 VillabrunaWHG
5.8 Nganasan


Alt

Target: Mm
Distance: 1.2721% / 1.27205809
43.5 Steppe_EMBA
32.5 Anatolia_N
18.2 VillabrunaWHG
5.8 Nganasan

[Lemminkäinen]

Distances, top 10. This was from the original calculator.

Distance to: Mm
6.37320955 Europe_LNBA
9.93518998 Steppe_MLBA
22.53228351 Steppe_IA
24.78926784 GoyetQ116
26.47709387 Steppe_EMBA
31.29442123 Steppe_Eneolithic
31.37143286 Armenia_ChL
32.72005196 Europe_EN
37.87533498 Anatolia_N
41.57293831 Iran_N_WC1

[gixajo]

Well if it prefers Mota over Taforalt, it could indicate that you don't have any IBM/Taforalt and it's a more ancient thing, that's why i left Mota, rather East African than West Africa, complicated to guess in any calc though.

Adding or removing a single component can totally screw up the whole calculator as i ve tried with EHG. Anyhow Europeans are that admix in reality, we are a mix of mostly Neolithic and Steppe with some resurgence of Hunters-gatherers (ofc there is some in both already). It's important to get the EN right, they all cluster together even if geographically very distant. Then it comes down to individuals, you may or may not score something else. Southeast will have some tendency towards Iran_N that is an excess and cannot fit in the steppe alone, and few other phenomenons elsewhere on the fringe of Europe. Im satisfied with the results as a whole.

In your case IBM might work better, i can't find the kit number for the life of me...went through dozens of pages on anthrogenica too.

The problem is due to a calculator with just 6 coordinates, which are based in ambiguous ancient components, we cannot expect a lot of accuracy with such a thing.

Edit: I want to make it clear that despite the limitations of the coordinates, it is not in itself a bad calculator.:)

[Brás Garcia de Mascarenhas]

Swapped the Taforalt/IBM for a better quality sample (less noisy), it does work with the Spanish average to make Taforalt pop. Barcin_N in place of Europe_EN, that has the effect of increasing the WHG and make appear some low steppe in Sardinians, as it's 10 times lower than other Euro, it's still acceptable.

You can try this alternative dataset, it generally improve the fits for most pop, i don't think it's night and day, it may or may not work better for some.


Now WHG shows up.


Target: Viriato
Distance: 0.3524% / 0.35236378
47.2 Anatolia_N
18.5 Steppe_EMBA
16.0 Iran_N
10.3 VillabrunaWHG
3.9 Steppe_IA
3.1 Taforalt
1.0 Nganasan

[Luso]

Swapped the Taforalt/IBM for a better quality sample (less noisy), it does work with the Spanish average to make Taforalt pop. Barcin_N in place of Europe_EN, that has the effect of increasing the WHG and make appear some low steppe in Sardinians, as it's 10 times lower than other Euro, it's still acceptable.

You can try this alternative dataset, it generally improve the fits for most pop, i don't think it's night and day, it may or may not work better for some.

For me it just increases the WHG and lower the ENF which is now Barcin


Target: Luso
Distance: 1.1836% / 1.18359805
56.4 Anatolia_N
40.1 Steppe_EMBA
3.5 VillabrunaWHG

[Petalpusher]

Now WHG shows up.


Target: Viriato
Distance: 0.3524% / 0.35236378
47.2 Anatolia_N
18.5 Steppe_EMBA
16.0 Iran_N
10.3 VillabrunaWHG
3.9 Steppe_IA
3.1 Taforalt
1.0 Nganasan


Yes it should increase the WHG for most because Anatolia has 10% less than Europe_EN. So different "strategies", the WHG we get here is not anymore only local European, it bothers me a little but both models are correct, as long we don't want to extract the whole WHG from our admixture, otherwise it would be much higher. Barcin is in itself at least 1/3 WHG (rest would be a basal branch)

Anatolia_N:
Natufians 61.46
WHG 36.44
ANE 1.90

This is where the headache begins. WHG is also from a basal branch (and everything else really "non African"), that branch is parallel and might just have got out into Eurasia earlier.

[Grace O'Malley]

Target: Grace
Distance: 0.3964% / 0.39644075
36.9 Europe_EN
33.5 Steppe_EMBA
23.3 Steppe_MLBA
5.6 VillabrunaWHG
0.7 Steppe_IA

v2

Target: Grace
Distance: 0.5036% / 0.50363246
42.3 Steppe_EMBA
36.7 Anatolia_N
14.8 VillabrunaWHG
5.5 Iran_N
0.7 Steppe_IA

[Brás Garcia de Mascarenhas]

Target: Viriato_Father
Distance: 0.5421% / 0.54207316
47.6 Anatolia_N
31.6 Steppe_EMBA
10.0 VillabrunaWHG
5.4 Iran_N
5.3 Taforalt
0.1 Nganasan




Target: Viriato_Wife
Distance: 0.9512% / 0.95120577
52.7 Anatolia_N
30.7 Steppe_EMBA
9.5 VillabrunaWHG
4.9 Taforalt
2.2 Nganasan


Edit:

My results with another kit:


Target: Viriato
Distance: 0.5625% / 0.56252690
50.7 Anatolia_N
34.9 Steppe_EMBA
4.6 VillabrunaWHG
4.1 Iran_N
4.1 Taforalt
1.6 Nganasan

[Damião de Góis]

Target: Damião_de_Góis
Distance: 0.6720% / 0.67197278
54.6 Anatolia_N
34.7 Steppe_EMBA
7.0 VillabrunaWHG
3.7 Mota

I still don't get the taforalt, but now it's generally closer to other runs.

[Dušan]

Target: Dušan
Distance: 0.6890% / 0.68904141
40.9 Anatolia_N
21.6 Steppe_EMBA
18.6 Iran_N
9.7 VillabrunaWHG
5.8 Steppe_Eneolithic
2.2 Steppe_IA
1.2 Papuan


Target: Dušan
Distance: 0.4959% / 0.49585333 | R4P
51.3 Anatolia_N
36.4 Steppe_Eneolithic
8.8 Iran_N
3.5 Steppe_IA

[alnortedelsur]

Target: Alnortedelsur
Distance: 1.6558% / 1.65577725
55.4 Europe_EN
23.1 Steppe_EMBA
11.7 Iran_N
6.4 Mota
3.4 Nganasan

Distance to: Alnortedelsur
21.96486285 Steppe_MLBA
23.77722440 Europe_EN
27.94745785 Steppe_IA
33.52758118 Steppe_EMBA
36.55981947 Iran_N
41.90135797 Taforalt
44.46643903 Steppe_Eneolithic
80.86490215 VillabrunaWHG
91.48035527 Mota
102.12177241 Nganasan
103.45889619 Onge
109.11980755 Yoruba
114.38152123 Papuan

[alnortedelsur]

Version 2

Target: Alnortedelsur
Distance: 0.7690% / 0.76896544
55.6 Anatolia_N
30.6 Steppe_EMBA
5.6 Yoruba
4.5 Steppe_IA
3.0 Nganasan
0.7 VillabrunaWHG

Distance to: Alnortedelsur
25.07770324 Anatolia_N
27.94745785 Steppe_IA
33.52758118 Steppe_EMBA
36.55981947 Iran_N
42.53492682 Taforalt
44.46643903 Steppe_Eneolithic
80.86490215 VillabrunaWHG
91.48035527 Mota
102.12177241 Nganasan
103.45889619 Onge
109.11980755 Yoruba
114.38152123 Papuan

[Thambi]

Target: Thambi
Distance: 10.6095% / 10.60947700 | ADC: 0.25x RC
66.4 Iran_N
26.0 Onge
7.6 Nganasan

Distance to: Thambi
32.18546877 Iran_N
38.78270749 Steppe_IA
44.02527569 Steppe_EMBA
51.55502497 Steppe_MLBA
52.99428460 Steppe_Eneolithic
58.27336956 Taforalt
69.47002519 Europe_EN
73.75076135 Onge
85.62151832 Papuan
92.24635711 Nganasan
93.90310644 Mota
112.70778323 Yoruba
112.94708673 VillabrunaWHG

[JamesBond007]

Target: Kevin
Distance: 0.7006% / 0.70056348
38.1 Europe_EN
34.3 Steppe_EMBA
22.0 Steppe_MLBA
5.6 VillabrunaWHG

[JamesBond007]

Target: Kevin
Distance: 0.7018% / 0.70184396
43.6 Steppe_EMBA
38.1 Anatolia_N
14.2 VillabrunaWHG
4.1 Iran_N

[Petalpusher]

Target: Thambi
Distance: 10.6095% / 10.60947700 | ADC: 0.25x RC
66.4 Iran_N
26.0 Onge
7.6 Nganasan


I should get an AASI/ANI to improve the fits for India and around. If you have some kit numbers please let me know.

[Thambi]

I should get an AASI/ANI to improve the fits for India and around. If you have some kit numbers please let me know.

nah no need. I'm like the only indian member on here so doesnt matter. There are no Ancient AASI samples anyways. Closest are some of the tribals in south india but even they are quite ANI mixed today. Iran neolithic and steppe are pretty much ANI. The fit is high but the west/east eurasian split looks accurate enough in my case.

[Petalpusher]

nah no need. I'm like the only indian member on here so doesnt matter. There are no Ancient AASI samples anyways. Closest are some of the tribals in south india but even they are quite ANI mixed today. Iran neolithic and steppe are pretty much ANI. The fit is high but the west/east eurasian split looks accurate enough in my case.

That's what i read that some modern groups are closest to what ANI/ASI would have been, and that's as good as a sample we get for now. However in the grand scheme of things it still works as a model as it is. For N.Africans for example ANA improved significantly the model instead of just something basal rich + SSA, to the point it came down to really good distance around 1%. I would think the same effect would apply here with ANI/ASI and Iran_N + something Oceanian.
I would just like to make it better for non Europeans too.

[Petalpusher]

Some minor adjustments:

-Labeling (for people asking what is this and that)
-Some sample quality (had a bit of SSA for some reasons, so that was capturing some of the Taforalt for some)

Don't think i can do much better as a whole but im ok with the models on average

MEC V3 Dataset


Anatolian_NeolithicFarmer,1.90,0.00,0.00,36.44,61. 46,0.20
Mota_AncientEastAfrica,3.70,5.71,0.10,1.80,5.71,82 .98
Nganasan,5.90,0.00,91.30,2.80,0.00,0.00
Onge,0.10,86.89,13.01,0.00,0.00,0.00
Papuan,0.00,100.00,0.00,0.00,0.00,0.00
Yoruba_WestAfrica,0.00,0.00,0.00,0.00,0.00,100.00
Taforalt_AncientNorthAfrica,3.15,2.8,2.80,14.19,35 .48,41.58
Villabruna_WestHunterGatherer,0.00,0.00,0.00,100.0 0,0.00,0.00
Steppe_EMBA,40.92,2.40,1.10,33.93,21.16,0.50
Steppe_Eneolithic,39.64,7.31,0.90,44.14,7.61,0.40
Iranian_NeolithicFarmer,39.40,5.30,1.60,6.40,45.10 ,2.20

(beware that the forum is adding some space at in the last values for some reasons, check and remove them if they are still there once copy paste)



Rerun, let's call it V3.

https://i.postimg.cc/DvsW-gp1w/mecrerunv4.jpg









For 90% of the people here, it won't change anything (mine no difference) even if it can create artificial differences with the slighest adjustments in the dataset, like breaking down your steppe in more than 2 or 3 steppe elements and/or lowering as a result the WHG a bit.

[Helen]

Some minor adjustments:

-Labeling (for people asking what is this and that)
-Some sample quality (had a bit of SSA for some reasons, so that was capturing some of the Taforalt for some)

Don't think i can do much better as a whole but im ok with the models on average

MEC V3 Dataset




Rerun, let's call it V3.

https://i.postimg.cc/DvsW-gp1w/mecrerunv4.jpg









For 90% of the people here, it won't change anything (mine no difference) even if it can create artificial differences with the slighest adjustments in the dataset, like breaking down your steppe in more than 2 or 3 steppe elements and/or lowering as a result the WHG a bit.

Target: Helen
Distance: 0.5001% / 0.50008449 | R4P
62.4 Anatolian_NeolithicFarmer
32.8 Steppe_Eneolithic
4.0 Taforalt_AncientNorthAfrica
0.8 Steppe_EarlyMiddleBronzeAge

Target: Helen's_dad
Distance: 1.0042% / 1.00419655
63.0 Anatolian_NeolithicFarmer
29.6 Steppe_EarlyMiddleBronzeAge
6.0 Villabruna_MesolithicHunterGatherer
1.4 Taforalt_AncientNorthAfrica

[Flashball]

Sardinians don't have "14.0 Iran_N", it's absurd.

Many South Italians, yes.


>>>
https://imagizer.imageshack.com/v2/1035x582q90/r/923/iqw3tf.jpg

[Leto]

Target: Leto
Distance: 1.2133% / 1.21326283
41.3 Steppe_EarlyMiddleBronzeAge
37.5 Anatolian_NeolithicFarmer
14.9 Villabruna_MesolithicHunterGatherer
6.3 Nganasan

Brother-in-law (ethnic Russian)

Target: Vsh
Distance: 1.4132% / 1.41322023
48.3 Steppe_EarlyMiddleBronzeAge
37.2 Anatolian_NeolithicFarmer
11.6 Villabruna_MesolithicHunterGatherer
2.9 Nganasan

[Petalpusher]

Sardinians don't have "14.0 Iran_N", it's absurd.

Many South Italians, yes.


>>>
https://imagizer.imageshack.com/v2/1035x582q90/r/923/iqw3tf.jpg

They do normally show that kind of admixture, in Eurogenes K13 they score east med and red_sea, those peak in population more predominantely derived from Iranian farmers.

Also you have to understand that the high steppe most Euro score, hides some of the Iranian_farmer type of input. The steppe is made of some, you can well model it as EHG + Iran_N/CHG but as Sardinians have low to no EHG, it doesn't look like steppe (and that's right, they have only residual IE from mainland), so it pops up more and doesn't hide it:


Target: Steppe_EMBA
Distance: 0.2869% / 0.28686035
54.8 EHG
33.6 Iranian_NeolithicFarmer
9.7 Anatolian_NeolithicFarmer
0.8 Villabruna_WestHunterGatherer
0.5 Nganasan
0.3 Onge
0.3 Papuan

Here the end goal is not to break down infinitely everything, as we could also do with WHG and basal sources and even EHG, a mix of WHG and ANE/AG. The purpose is to have a simple proportion of main events, from mesolithic to neolithic to Bronze Age, and eventually whatever in between. I would say for those showing significant Iranian_farmer on top of everything else, it's likely an event somewhere that looked like Levant_BA, as in S.Italians for example, and which impacted south europeans to various degrees, whereas it had little to none in central and north Europeans.


Besides 14% is with Europe_N (more LBK), whith Barcin_N it drops to 10% but then they show some low steppe. That's how admixture is in general, proportions depends on what references exactly you are using, hence why studies also show different proportions each time. Just have to keep in mind that everything is intertwined and has more or less of a relationship with other components, specially in the west eurasian sub groups.

[alnortedelsur]

Some minor adjustments:

-Labeling (for people asking what is this and that)
-Some sample quality (had a bit of SSA for some reasons, so that was capturing some of the Taforalt for some)

Don't think i can do much better as a whole but im ok with the models on average

MEC V3 Dataset



(beware that the forum is adding some space at in the last values for some reasons, check and remove them if they are still there once copy paste)



Rerun, let's call it V3.

https://i.postimg.cc/DvsW-gp1w/mecrerunv4.jpg









For 90% of the people here, it won't change anything (mine no difference) even if it can create artificial differences with the slighest adjustments in the dataset, like breaking down your steppe in more than 2 or 3 steppe elements and/or lowering as a result the WHG a bit.

Target: Alnortedelsur
Distance: 0.7312% / 0.73117575
56.1 Anatolian_NeolithicFarmer
33.9 Steppe_EMBA
5.6 Yoruba_WestAfrica
3.7 Nganasan
0.7 Villabruna_WestHunterGatherer

Distance to: Alnortedelsur
25.07770324 Anatolian_NeolithicFarmer
33.52758118 Steppe_EMBA
36.55981947 Iranian_NeolithicFarmer
42.53492682 Taforalt_AncientNorthAfrica
44.46643903 Steppe_Eneolithic
80.86490215 Villabruna_WestHunterGatherer
91.48035527 Mota_AncientEastAfrica
102.12177241 Nganasan
103.45889619 Onge
109.11980755 Yoruba_WestAfrica
114.38152123 Papuan

[alexmegas777]

V1
Target: alexmegas(Romanian)
Distance: 0.7031% / 0.70310834
58.3 Europe_EN
29.8 Steppe_EMBA
10.2 Steppe_MLBA
1.7 VillabrunaWHG
V2
Target: alexmegas(Romanian)
Distance: 0.6311% / 0.63106456
55.6 Anatolia_N
35.0 Steppe_EMBA
9.3 VillabrunaWHG
0.1 Iran_N

[Petalpusher]

Target: Alnortedelsur
Distance: 0.7312% / 0.73117575
56.1 Anatolian_NeolithicFarmer
33.9 Steppe_EMBA
5.6 Yoruba_WestAfrica
3.7 Nganasan
0.7 Villabruna_WestHunterGatherer


I don't have an Amerindian component, yours likely shows up as Nganasan + a tiny bit of the Steppe (about 3%), as Amerindian are a mix of ANE + East Asian. The rest looks good, assuming most of your little African is new world in origin.

[Grace O'Malley]

V3

Target: Grace
Distance: 0.4504% / 0.45040027
44.5 Steppe_EMBA
37.5 Anatolian_NeolithicFarmer
14.1 Villabruna_WestHunterGatherer
3.8 Iranian_NeolithicFarmer
0.1 Nganasan

[Petalpusher]

Some sort of formal distances, just to see relationships. Obviously Villabruna is the most removed from Africa and East Asia. Both farmers are not that close to each others at around 50 of distance, some major differences, only Europe_EN is very close to Anatolian_Farmer as they are the same people, chonologically moving into Europe and acquiring more WHG. Taforalt also has some relative relationship since it's 2/3 farmer-like and 1/3 SSA. Iranian farmers are generally closer to the Steppe, because the steppe is made of some as well, until you go back to their eneolithic (more ANE there)




Distance to: Villabruna_MesolithicHunterGatherer
69.31080291 Steppe_Eneolithic
79.62763339 Europe_EarlyNeolithicFarmer
80.58943417 Steppe_EarlyMiddleBronzeAge
81.48999939 Steppe_IronAge
88.43559917 Anatolian_NeolithicFarmer
101.86601690 Taforalt_AncientNorthAfrica
111.67193022 Iranian_NeolithicFarmer
133.11326831 Onge
133.48535500 Nganasan
141.42135624 Papuan
141.42135624 Yoruba_SSA


Distance to: Anatolian_NeolithicFarmer
8.88949942 Europe_EarlyNeolithicFarmer
50.75658775 Iranian_NeolithicFarmer
51.36457145 Steppe_IronAge
53.84765362 Taforalt_AncientNorthAfrica
56.21397068 Steppe_EarlyMiddleBronzeAge
66.61611066 Steppe_Eneolithic
88.43559917 Villabruna_MesolithicHunterGatherer
113.25907204 Onge
115.15516141 Nganasan
122.75526547 Yoruba_SSA
122.91808329 Papuan



Distance to: Iranian_NeolithicFarmer
36.06189124 Steppe_IronAge
37.30100401 Steppe_EarlyMiddleBronzeAge
50.75658775 Anatolian_NeolithicFarmer
53.95382656 Steppe_Eneolithic
54.48210715 Europe_EarlyNeolithic
55.90854496 Taforalt_AncientNorthAfrica
102.46568304 Onge
106.47084108 Nganasan
111.67193022 Villabruna_MesolithicHunterGatherer
112.65265199 Papuan
116.23519261 Yoruba_SSA



Distance to: YorubaSSA
69.99060937 Taforalt_AncientNorthAfrica
111.98490970 Steppe_IronAge
114.80704203 Steppe_EarlyMiddleBronzeAge
116.23519261 Iranian_NeolithicFarmer
116.41300357 Steppe_Eneolithic
122.39509794 Europe_EarlyNeolithicFarmer
122.75526547 Anatolian_NeolithicFarmer
133.11326831 Onge
135.56673633 Nganasan
141.42135624 Papuan
141.42135624 Villabruna_MesolithicHunterGatherer



Distance to: Nganasan_EAsian
89.48228875 Steppe_IronAge
103.85216849 Steppe_EarlyMiddleBronzeAge
104.71442785 Taforalt_AncientNorthAfrica
105.50379804 Steppe_Eneolithic
106.47084108 Iranian_NeolithicFarmer
114.48816533 Europe_EarlyNeolithic
115.15516141 Anatolian_NeolithicFarmer
117.13529016 Onge
133.48535500 Villabruna_MesolithicHunterGatherer
135.56673633 Papuan
135.56673633 Yoruba_SSA

[paradox]

V1

Target: K6
Distance: 0.5719% / 0.57191533
47.1 Europe_EN
27.3 Iran_N
11.8 Steppe_EMBA
11.7 Steppe_MLBA
2.1 Steppe_Eneolithic

V2

Target: K6
Distance: 0.4930% / 0.49298701
49.2 Anatolia_N
22.4 Iran_N
16.4 Steppe_EMBA
8.7 Steppe_Eneolithic
3.3 VillabrunaWHG
---------------------
My father

V1

Target: FatherK6
Distance: 1.2431% / 1.24313129
55.6 Europe_EN
37.3 Steppe_EMBA
5.9 Iran_N
0.7 Nganasan
0.5 Taforalt

V2

Target: FatherK6
Distance: 0.8825% / 0.88250690
53.3 Anatolia_N
41.9 Steppe_EMBA
3.3 VillabrunaWHG
0.8 Nganasan
0.7 Taforalt

[MandM]

Target: Milenko
Distance: 183.1552% / 1.83155229
50.2 Europe_EN
38.8 Steppe_EMBA
11.0 Iran_N

[Lucas]

v1

Target: x
Distance: 0.8380% / 0.83797062
41.1 Europe_EN
35.4 Steppe_EMBA
17.0 Steppe_MLBA
6.5 VillabrunaWHG


v2
Target: x
Distance: 0.6841% / 0.68414998
45.4 Steppe_EMBA
41.4 Anatolia_N
13.1 VillabrunaWHG
0.1 Nganasan

[noricum]

Target: noricum(austrian)
Distance: 0.6603% / 0.66032688
43.1 Europe_EN
36.7 Steppe_EMBA
17.1 Steppe_MLBA
3.1 VillabrunaWHG



Target: x
Distance: 0.8380% / 0.83797062
41.1 Europe_EN
35.4 Steppe_EMBA
17.0 Steppe_MLBA
6.5 VillabrunaWHG

Now that are some very similar results! :wave:

[Dunai]

I used V3 samples, surprisingly I get way more Early Farmer than on other calculators:

Target: Dunai
Distance: 0.6373% / 0.63726924
38.0 Anatolian_NeolithicFarmer
18.7 Steppe_EMBA
17.2 Iranian_NeolithicFarmer
16.2 Villabruna_WestHunterGatherer
8.3 Steppe_Eneolithic
0.8 Papuan
0.5 Nganasan
0.3 Onge

[Petalpusher]

I used V3 samples, surprisingly I get way more Early Farmer than on other calculators:

Target: Dunai
Distance: 0.6373% / 0.63726924
38.0 Anatolian_NeolithicFarmer
18.7 Steppe_EMBA
17.2 Iranian_NeolithicFarmer
16.2 Villabruna_WestHunterGatherer
8.3 Steppe_Eneolithic
0.8 Papuan
0.5 Nganasan
0.3 Onge

I see you get 37.4 on the other calc?

Target: Dunai
Distance: 2.4210% / 0.02420962
48.6 Corded_Ware_Baltic_early
37.4 TUR_Barcin_N
12.0 Baltic_LTU_Narva
2.0 CHN_Tanshishan_N


Tur_Barcin is Anatolian_farmer, so not much difference 0.6%. Baden late copper age should be leaning to farmers too. CordedWare is a complex mix, i can see it get broken down as Steppe EMBA, Steppe Eneolithic and WHG, with Baltic_LTU being more EHG.

Check the PCA on the op, you might get a better idea. I see many on the other threads confusing POL_Globular for something Baltic or Polish, it's just a local late neolithic type.

[Dušan]

V3

Target: Dušan
Distance: 0.7419% / 0.74186185
40.7 Anatolian_NeolithicFarmer
21.3 Iranian_NeolithicFarmer
17.6 Steppe_EMBA
10.2 Villabruna_WestHunterGatherer
9.0 Steppe_Eneolithic
0.8 Papuan
0.2 Nganasan
0.2 Onge

[17571imre]

not sure what the results mean but these are the results from me and my mother :)


Target: Imre
Distance: 0.6898% / 0.68976968
43.1 Anatolian_NeolithicFarmer
20.0 Iranian_NeolithicFarmer
16.8 Steppe_EMBA
14.4 Villabruna_WestHunterGatherer
4.6 Steppe_Eneolithic
0.9 Nganasan
0.2 Onge

Target: cb (Hungarian)
Distance: 1.1916% / 1.19163446
47.2 Anatolian_NeolithicFarmer
40.3 Steppe_EMBA
7.5 Villabruna_WestHunterGatherer
5.0 Nganasan

[Dunai]

not sure what the results mean but these are the results from me and my mother :)


Target: Imre
Distance: 0.6898% / 0.68976968
43.1 Anatolian_NeolithicFarmer
20.0 Iranian_NeolithicFarmer
16.8 Steppe_EMBA
14.4 Villabruna_WestHunterGatherer
4.6 Steppe_Eneolithic
0.9 Nganasan
0.2 Onge

Target: cb (Hungarian)
Distance: 1.1916% / 1.19163446
47.2 Anatolian_NeolithicFarmer
40.3 Steppe_EMBA
7.5 Villabruna_WestHunterGatherer
5.0 Nganasan

Your mom has pretty high (5%) ancient Siberian-like component, while you have 2/3 Early Farmer-like component.

[Leto]

In this run the Irish and Russians can score only mildly different.

[Flashball]

Target: Flashball
Distance: 0.3301% / 0.33005630 | ADC: 0.5x RC
55.0 Anatolia_N
31.2 Steppe_EMBA
7.2 VillabrunaWHG
6.6 Steppe_IA

Target: Flashball
Distance: 0.3301% / 0.33005630 | ADC: 0.25x RC
55.0 Anatolia_N
31.2 Steppe_EMBA
7.2 VillabrunaWHG
6.6 Steppe_IA

Target: Flashball
Distance: 0.4553% / 0.45529565
53.8 Anatolia_N
30.9 Steppe_EMBA
8.9 VillabrunaWHG
4.1 Iran_N
1.7 Steppe_IA
0.6 Nganasan

Target: Flashball
Distance: 0.3677% / 0.36772820
58.2 Europe_EN
27.8 Steppe_EMBA
7.9 Steppe_MLBA
6.1 Steppe_IA




Target: Father
Distance: 2.0232% / 2.02321160 | ADC: 0.5x RC
63.9 Steppe_MLBA
36.1 Europe_EN

Target: Father
Distance: 0.4579% / 0.45786793 | ADC: 0.25x RC
51.4 Steppe_MLBA
37.9 Europe_EN
10.1 Steppe_IA
0.6 Iran_N

Target: Father
Distance: 0.3087% / 0.30873484
47.2 Europe_EN
29.3 Steppe_EMBA
15.5 Steppe_MLBA
4.0 VillabrunaWHG
1.6 Iran_N
1.3 Nganasan
1.1 Steppe_IA

Target: Father
Distance: 0.3100% / 0.31002546 | ADC: 0.5x RC
46.2 Anatolia_N
31.9 Steppe_EMBA
11.5 Steppe_IA
10.4 VillabrunaWHG

Target: Father
Distance: 0.3100% / 0.31002546 | ADC: 0.25x RC
46.2 Anatolia_N
31.9 Steppe_EMBA
11.5 Steppe_IA
10.4 VillabrunaWHG

Target: Father
Distance: 0.4905% / 0.49052292
43.9 Anatolia_N
30.6 Steppe_EMBA
13.6 VillabrunaWHG
7.9 Iran_N
3.0 Steppe_IA
1.0 Nganasan



Target: Mother
Distance: 2.6305% / 2.63048824 | ADC: 0.5x RC
54.6 Europe_EN
45.4 Steppe_MLBA

Target: Mother
Distance: 1.3522% / 1.35222596 | ADC: 0.25x RC
54.0 Europe_EN
40.7 Steppe_MLBA
5.3 Iran_N

Target: Mother
Distance: 0.9465% / 0.94653662
64.8 Europe_EN
27.7 Steppe_EMBA
6.1 Steppe_MLBA
1.0 VillabrunaWHG
0.4 Nganasan


Target: Mother
Distance: 0.8175% / 0.81751578 | ADC: 0.5x RC
60.4 Anatolia_N
27.8 Steppe_EMBA
8.7 VillabrunaWHG
3.1 Steppe_IA

Target: Mother
Distance: 0.8175% / 0.81751578 | ADC: 0.25x RC
60.4 Anatolia_N
27.8 Steppe_EMBA
8.7 VillabrunaWHG
3.1 Steppe_IA

Target: Mother
Distance: 0.7942% / 0.79423553
60.7 Anatolia_N
30.1 Steppe_EMBA
8.7 VillabrunaWHG
0.5 Nganasan

[Petalpusher]

You re toying a lot with the restrictors mate. I would leave the default settings, maybe restrict to 5 components if you don't want to see the little ones but it shouldn't give you any if they aren't there.

[Gaditanian]

Nice distance

V2

Distance: 1.0371% / 1.03706125

52.1 Anatolia_N
33.8 Steppe_EMBA
7.0 VillabrunaWHG
6.7 Taforalt
0.3 Nganasan
0.1 Mota

V1

Distance: 1.2148% / 1.21476022

60.8 Europe_EN
35.2 Steppe_EMBA
3.5 Mota
0.4 Nganasan
0.1 VillabrunaWHG

[Flashball]

You re toying a lot with the restrictors mate. I would leave the default settings, maybe restrict to 5 components if you don't want to see the little ones but it shouldn't give you any if they aren't there.

Sometimes the results don't make sense, that's why I don't leave everything at fault.

My mother gets 5.3 Iran_N in 0.25 but nothing in 0.00.

My father gets 7.9 Iran_N in 0.00 but nothing more in 0.25 ...

difficult to understand the logic

[Petalpusher]

Sometimes the results don't make sense, that's why I don't leave everything at fault.

My mother gets 5.3 Iran_N in 0.25 but nothing in 0.00.

My father gets 7.9 Iran_N in 0.00 but nothing more in 0.25 ...

difficult to understand the logic

Check the distances, fitting Iran_N cuts the distance in half, so that was too restrictive setting but that was also on V1.

Anyway we can see that in general on V2:


South Europe < 45 % (Steppes + Villabruna) < Central and North Europe

[PT Tagus]

v2

Target: Endovelicus
Distance: 1.0991% / 1.09907109
57.5 Anatolia_N
35.1 Steppe_EMBA
3.7 VillabrunaWHG
3.7 Yoruba

[Eleonor]

V2
Target: Eleonor
Distance: 0.8534% / 0.85342646
43.8 Anatolia_N
43.5 Steppe_EMBA
12.7 VillabrunaWHG


Distance to: Eleonor
27.98933904 Steppe_EMBA
31.73495549 Anatolian_NeolithicFarmer
35.53809505 Steppe_Eneolithic
43.62475673 Iranian_NeolithicFarmer
53.62073480 Taforalt_AncientNorthAfrica
69.59294073 Villabruna_WestHunterGatherer
99.16087636 Mota_AncientEastAfrica
105.82271306 Onge
106.86587575 Nganasan
116.09985960 Papuan
116.54688928 Yoruba_WestAfrica

[Nurzat]

my coordinates from GedMATCH: Nurzat,22.02,0,0.67,39.14,38.17,0

v1:
Target: Nurzat
Distance: 1.6097% / 1.60965347
51.5 Steppe_EMBA
48.0 Europe_EN
0.5 VillabrunaWHG

v2:
Target: Nurzat
Distance: 1.5116% / 1.51160916
50.4 Steppe_EMBA
44.0 Anatolia_N
5.6 VillabrunaWHG


distance:

v1:
Distance to: Nurzat
12.65028853 Steppe_MLBA
24.37440871 Steppe_IA
26.07468312 Steppe_EMBA
27.89404596 Europe_EN
36.37343811 Steppe_Eneolithic
38.15483980 Iran_N
51.48793839 Taforalt
75.14131886 VillabrunaWHG
98.49953807 Mota
105.69542374 Onge
106.07165408 Nganasan
116.07849844 Papuan
116.07849844 Yoruba


v2:
Distance to: Nurzat
24.37440871 Steppe_IA
26.07468312 Steppe_EMBA
30.90335580 Anatolia_N
36.37343811 Steppe_Eneolithic
38.15483980 Iran_N
52.22153579 Taforalt
75.14131886 VillabrunaWHG
98.49953807 Mota
105.69542374 Onge
106.07165408 Nganasan
116.07849844 Papuan
116.07849844 Yoruba



Target: Leto
Distance: 1.2942% / 1.29418326
42.2 Steppe_EMBA
41.0 Europe_EN
10.5 WHG
6.3 Nganasan

[GalenStark]

Target: Galenstark
Distance: 2.0876% / 2.08761674
58.6 Europe_EN
27.4 Steppe_EMBA
14.0 Iran_N

Alternate:
Target: Galenstark
Distance: 1.3423% / 1.34229789
59.7 Anatolia_N
40.2 Steppe_EMBA
0.1 VillabrunaWHG

[Petalpusher]

my coordinates from GedMATCH: Nurzat,22.02,0,0.67,39.14,38.17,0

v1:
Target: Nurzat
Distance: 1.6097% / 1.60965347
51.5 Steppe_EMBA
48.0 Europe_EN
0.5 VillabrunaWHG

v2:
Target: Nurzat
Distance: 1.5116% / 1.51160916
50.4 Steppe_EMBA
44.0 Anatolia_N
5.6 VillabrunaWHG


distance:

v1:
Distance to: Nurzat
12.65028853 Steppe_MLBA
24.37440871 Steppe_IA
26.07468312 Steppe_EMBA
27.89404596 Europe_EN
36.37343811 Steppe_Eneolithic
38.15483980 Iran_N
51.48793839 Taforalt
75.14131886 VillabrunaWHG
98.49953807 Mota
105.69542374 Onge
106.07165408 Nganasan
116.07849844 Papuan
116.07849844 Yoruba


v2:
Distance to: Nurzat
24.37440871 Steppe_IA
26.07468312 Steppe_EMBA
30.90335580 Anatolia_N
36.37343811 Steppe_Eneolithic
38.15483980 Iran_N
52.22153579 Taforalt
75.14131886 VillabrunaWHG
98.49953807 Mota
105.69542374 Onge
106.07165408 Nganasan
116.07849844 Papuan
116.07849844 Yoruba


You are not fully Romanian aren't you, i don't remember exactly? Very high ANE and low basal compared to the Romanian average.


Also reposting the dataset because the forum tends to add spaces in quote for some reasons which can screw up the results and i can't edit the first post anymore.


Anatolian_NeolithicFarmer,1.90,0.00,0.00,36.44,61. 46,0.20
Mota_AncientEastAfrica,3.70,5.71,0.10,1.80,5.71,82 .98
Nganasan,5.90,0.00,91.30,2.80,0.00,0.00
Onge,0.10,86.89,13.01,0.00,0.00,0.00
Papuan,0.00,100.00,0.00,0.00,0.00,0.00
Yoruba_WestAfrica,0.00,0.00,0.00,0.00,0.00,100.00
Taforalt_AncientNorthAfrica,3.15,2.8,2.80,14.19,35 .48,41.58
Villabruna_WestHunterGatherer,0.00,0.00,0.00,100.0 0,0.00,0.00
Steppe_EMBA,40.92,2.40,1.10,33.93,21.16,0.50
Steppe_Eneolithic,39.64,7.31,0.90,44.14,7.61,0.40
Iranian_NeolithicFarmer,39.40,5.30,1.60,6.40,45.10 ,2.20

[AlfonsoVIII]

Target: AlfonsoVIII
Distance: 0.7811% / 0.78107911 | ADC: 0.25x RC

55.4 Europe_EN
40.5 Steppe_MLBA
4.1 Taforalt

[Ibericus]

Target: Me
Distance: 1.5559% / 1.55588538
60.3 Europe_EN
34.5 Steppe_EMBA
4.1 Iran_N
1.1 Mota

v2

Target: Me
Distance: 1.2439% / 1.24386497
57.0 Anatolia_N
37.3 Steppe_EMBA
4.5 VillabrunaWHG
1.2 Mota

[AlfonsoVIII]

Target: Me
Distance: 1.5559% / 1.55588538
60.3 Europe_EN
34.5 Steppe_EMBA
4.1 Iran_N
1.1 Mota

v2

Target: Me
Distance: 1.2439% / 1.24386497
57.0 Anatolia_N
37.3 Steppe_EMBA
4.5 VillabrunaWHG
1.2 Mota

Are you DF27?

[gixajo]

Quite exagerated my WHG in me, slighty high in my mother and quite well for my father.

But with so few references and in Gedrosia K6, is a very good model.

Target: gixajo
Distance: 0.8637% / 0.86367171
55.3 Anatolian_NeolithicFarmer
26.9 Steppe_EMBA
17.6 Villabruna_WestHunterGatherer
0.2 Mota_AncientEastAfrica

Target: gixajo_dad
Distance: 0.9567% / 0.95669092
59.2 Anatolian_NeolithicFarmer
27.5 Steppe_EMBA
10.5 Villabruna_WestHunterGatherer
2.8 Mota_AncientEastAfrica

Target: gixajo_mom
Distance: 0.7946% / 0.79457606
50.8 Anatolian_NeolithicFarmer
31.1 Steppe_EMBA
18.0 Villabruna_WestHunterGatherer
0.1 Nganasan

[Petalpusher]

Quite exagerated my WHG in me, slighty high in my mother and quite well for my father.

Im assuming your mother is the Basque of the two? Average Basque score +20 here.

Also thinking about something with K13 and newer samples, quite a bit more complicated model.

[Nurzat]

You are not fully Romanian aren't you, i don't remember exactly? Very high ANE and low basal compared to the Romanian average.

probably due to few populations in the source it gives me this when running it against the modern populations (code below), though the populations in my region are all in the sample:

Target: Nurzat
Distance: 0.5915% / 0.59154858
63.1 Icelandic
22.0 Georgian
8.0 Lithuanian
6.9 Italian_South


also, for some reason I have more Steppe than all the sample populations (though sampling is not bad, it is not great either):

v1
https://scontent.fsbz1-2.fna.fbcdn.net/v/t1.6435-9/175592932_284358706607953_162644323187132619_n.jpg ?_nc_cat=105&ccb=1-3&_nc_sid=dbeb18&_nc_ohc=XWYCuImFEj4AX_y1aF_&_nc_ht=scontent.fsbz1-2.fna&oh=388bce7481c1addffbbea19df22540e4&oe=60A3DE5F


v2
https://scontent.fsbz1-1.fna.fbcdn.net/v/t1.6435-9/175596763_284344403276050_730159629736678524_n.jpg ?_nc_cat=110&ccb=1-3&_nc_sid=730e14&_nc_ohc=i5nKH1eIqY8AX-vP3Io&_nc_ht=scontent.fsbz1-1.fna&oh=d041024819752346b153d9cdc29c4bb7&oe=60A1A7F1



Lithuanian,18.9,0.1,1.5,50.2,29.3,0
Basque,10.79,0.3,0.4,48.55,39.86,0.1
Estonian,19.22,1,2.3,48.45,29.03,0
Icelandic,18.78,0.2,0.5,47.85,32.67,0
Finnish,18.84,1.2,7.31,46.09,26.55,0
Norwegian,19.62,0.5,0.7,45.75,33.43,0
Scottish,18.3,1.1,0.7,45.7,34.2,0
English,18,0.3,0.4,45.5,35.6,0.2
Czech,18.58,0.3,1,44.96,35.16,0
Ukrainian,19.48,0.8,1.7,44.46,33.47,0.1
French,16.52,0.5,0.3,44.14,38.34,0.2
Russian,19.92,0.8,7.81,44.04,27.43,0
Hungarian,18,0.9,1.5,42.9,36.6,0.1
Sardinian,6.4,0.2,0.1,42.3,50.3,0.7
Spanish,13.59,0.4,0.4,42.06,41.86,1.7
Croatian,18.2,1,0.6,41,39.1,0.1
Romanian,18.4,0.9,1.3,37.8,41.5,0.1
Bulgarian,18.8,1.2,1.2,36,42.2,0.6
Albanian,18.3,0.4,0.6,33.4,46.5,0.8
Greek,19.4,0.8,0.5,31.7,46.9,0.7
Sicilian,18.62,0.8,0.5,29.23,48.75,2.1
Italian_South,19.6,0.3,0.4,28.6,50.3,0.8
Jew_Ashkenazi,18.1,1.3,1,27.3,49.7,2.6
Jew_Moroccan,18.72,0.7,0.4,23.72,52.15,4.3
Jew_Libyan,17.1,1,0.4,23,52.8,5.7
Algerian,8,0.4,1,21.9,44.6,24.1
Jew_Tunisian,17.9,1.1,0.9,21.8,53.2,5.1
Saharawi,5.8,0.8,0.3,20.2,46,26.9
Moroccan,9.01,1,0.3,19.82,43.04,26.83
Cypriot,22.02,0.6,1,19.32,55.86,1.2
Kumyk,31.27,2.6,4.2,18.18,43.36,0.4
Turkish,25.03,1.8,7.11,18.02,47.35,0.7
Chechen,33.1,2.5,2.7,17.5,44.1,0.1
Adygei,31.17,2,4.2,17.48,45.05,0.1
Lezgin,35.04,2.1,2,17.32,43.44,0.1
Balkar,29.57,1.8,8.19,17.18,43.16,0.1
Libyan,13.5,0.9,1.3,15.7,49.7,18.9
Druze,24.2,2,0.3,15.1,55.7,2.7
Lebanese,22.6,2.1,1.4,14.6,53.6,5.7
Jordanian,21.9,1.9,1.3,14.1,52.4,8.4
Syrian,23.78,2,1.4,13.99,51.55,7.29
Palestinian,21.4,1.6,0.7,13.9,54.4,8
Egyptian,16.8,1.1,0.8,13.9,51,16.4
BedouinA,20.18,1.4,0.8,13.49,52.85,11.29
Tajik,34.03,7.51,12.91,13.11,32.33,0.1
Georgian,32.4,1.6,0.3,12.9,52.7,0.1
Turkmen,23.8,3.6,30.6,12.3,29.5,0.2
Saudi,20,2,0.7,12.2,58.5,6.6
Azeri,30.4,2.9,6.7,11.9,47.3,0.8
Jew_Yemenite,20.3,1.4,0.4,11.7,59.4,6.8
Assyrian,29.6,2.6,0.3,11.7,55,0.8
Uzbek,22.3,3.5,38.6,11.6,23.5,0.5
Jew_Iranian,28.77,3.2,0.2,11.09,55.74,1
Jew_iraqi,28.8,2.1,0.4,10.9,56,1.8
Iranian,32.8,5.2,3,9.4,47.9,1.7
Iran_recent,33,6.7,3,9.3,46.9,1.1
Yemeni,19.32,2.8,1.6,9.11,48.35,18.82
Altaian,11.99,0.6,70.23,8.99,8.09,0.1
Kyrgyz,12.51,1.1,66.07,8.51,11.71,0.1
Kurd_C,33.17,6.49,2.1,8.39,48.55,1.3
Pashtun_Afghan,37.34,11.61,9.91,7.91,33.13,0.1
Uygur,20,3.7,49.5,7.8,18.7,0.3
Kurd_F,35.7,3.9,1.2,7.5,50.3,1.4
Hazara,19.82,4.7,49.45,7.21,18.72,0.1
Iranian_Shirazi,34.3,6.7,2.3,6.6,46,4.1
Iranian_Mazandarani,35.6,6.4,2.9,6.5,46.8,1.8
Kalmyk,7.61,0.9,79.28,5.91,6.21,0.1
Pima,24.2,2.8,67.3,5.7,0,0
Kalash,41.7,15.1,5.7,5,32.5,0
Somali,5.1,2.1,1,5,30.4,56.4
Iranian_Lori,38.8,5.4,1.2,4.9,47.2,2.5
Pathan,41.36,15.48,6.59,4.4,32.07,0.1
GujaratiA,40.8,20.9,6.8,3.1,28.1,0.3
Nganasan,5.9,0,91.3,2.8,0,0
Burusho,38.64,16.02,15.22,2.7,27.23,0.2
Kurd_SE,42.8,12.1,5.9,2.3,36.9,0
Masai,3.6,1.9,0.9,2.3,18.12,73.17
Punjabi,41.96,19.38,7.79,2,28.77,0.1
Mota,3.7,5.71,0.1,1.8,5.71,82.98
Mongola,1.3,0.9,93.6,1.7,2.5,0
Eskimo,15.4,0,82.9,1.7,0,0
Baloch_Iranian,41.5,9.4,2.2,1.6,40.9,4.4
Makrani,41.9,11.7,1.8,1.2,39.7,3.7
Hadza,2.3,2.2,2.7,1.1,9.29,82.42
Balochi,43.2,13.3,3.2,1,38.1,1.2
GujaratiB,41.9,22.5,8.6,0.8,26,0.2
Brahui,43.1,12.9,2.9,0.7,38.7,1.7
Sindhi,42.1,19.2,6.2,0.6,31.5,0.4
Tibetan,2.6,7.3,89.1,0.6,0.3,0.1
Gambian,0.1,1.1,0,0.5,1.4,96.9
Ulchi,0.9,0.1,98.7,0.3,0,0
GujaratiC,39.2,27.2,8.6,0.2,24.5,0.3
Cambodian,3.5,14.71,78.28,0.1,2.8,0.6
Han,0.1,1.7,98,0.1,0.1,0
GujaratiD,38.6,28.2,10.4,0,22.5,0.3
Punjabi_PJL,37.6,29.4,10.9,0,21.9,0.2
Bengali,32.67,29.37,19.18,0,18.68,0.1
Palliyar,26.7,42.7,17.8,0,11.4,1.4
Paniyas,24.5,47.7,17.8,0,8.9,1.1
Kharia,18.42,39.24,34.33,0,6.71,1.3
Kusunda,11.5,18.8,64.2,0,5.4,0.1
Sherpa,9.3,12.6,73.5,0,4.6,0
Onge,0.1,86.89,13.01,0,0,0
Ami,0,3,97,0,0,0
Andamanese,0,100,0,0,0,0
Australian,0,100,0,0,0,0
Dai,0,0,100,0,0,0
Esan,0,0,0,0,0,100
Papuan,0,100,0,0,0,0
Yoruba,0,0,0,0,0,100

[Petalpusher]

Ukrainians are very Steppe, maybe even the highest in Europe (it entered around there). In the first run they were over 53% Steppe EMBA+MLBA. But considering your real ancestry i can see why you are more ANE and more Basal at the same time. V2 tends to extract more of the WHG stuff.
I tried to keep the steppe eneolithic to see if it could differenciate, it works for central_sout Asian who don't have the euro steppe per say, but for Europe it's probably not the right way to have this.

[Leto]

Ukrainians are very Steppe, maybe even the highest in Europe (it entered around there). In the first run they were over 53% Steppe EMBA+MLBA.
More than the Irish/British?

[Petalpusher]

More than the Irish/British?

Yes a bit more. Im not using this because it's ultimately accurate or is able to differenciate all euro so easily (quite complicated using only old samples in practice) but to test general models with ancestral components that i understand what they actually are, not stuff that are a soup of plenty of things (like N.Sea/Baltic/West Asia,N/S.Euro etc...) Those are great to pinpoint you to a country usually but they are based on moderns (and we don't descend from moderns). However i might try something similar with K13 or K15 and see what could work with ancients.

I think it's a shame ANE K7 with an oracle or K8 were never published on Gedmatch, then vahaduo.

[Nurzat]

Yes a bit more. Im not using this because it's ultimately accurate or is able to differenciate all euro so easily (quite complicated using only old samples in practice) but to test general models with ancestral components that i understand what they actually are, not stuff that are a soup of plenty of things (like N.Sea/Baltic/West Asia,N/S.Euro etc...) Those are great to pinpoint you to a country usually but they are based on moderns (and we don't descend from moderns). However i might try something similar with K13 or K15 and see what could work with ancients.

I think it's a shame ANE K7 with an oracle or K8 were never published on Gedmatch, then vahaduo.

do you know what populations/samples are behind each Ancient component in v1/v2? it'd be interesting to know. I suspect Yamnaya and Afanasievo are Steppe_EMBA but I'm curious about Europe_EN, Iran_N, Steppe_IA, Steppe_MLBA.

[Ion Basescul]

v1


<tbody>
Target
Distance
Europe_EN
Iran_N
Nganasan
Steppe_EMBA
Steppe_Eneolithic
Steppe_IA
Steppe_MLBA
VillabrunaWHG


Mom_MyHeritage
0.62719752
•
32.4
16.3
1.0
19.4
0.8
8.1
18.9
3.1


Dad_MyHeritage
1.39623066
•
51.1
0.0
1.9
45.1
0.0
0.0
0.0
1.9


Brother_MyHeritage
0.93322276
•
49.9
0.0
4.0
45.3
0.0
0.0
0.0
0.8


IonBasescul_MyHeritage
1.87608675
•
44.8
5.5
1.0
48.7
0.0
0.0
0.0
0.0


IonBasescul_Merged
0.50630634
•
47.9
0.0
2.2
42.9
0.0
7.0
0.0
0.0


Average
1.06780881
•
45.2
4.4
2.0
40.3
0.2
3.0
3.8
1.2

</tbody>

v2


<tbody>
Target
Distance
Anatolia_N
Iran_N
Nganasan
Steppe_EMBA
Steppe_Eneolithic
Steppe_IA
VillabrunaWHG


Mom_MyHeritage
0.69083042
•
33.4
18.2
0.9
26.4
2.7
9.0
9.4


Dad_MyHeritage
1.29434746
•
46.9
0.0
1.9
43.9
0.0
0.0
7.3


Brother_MyHeritage
0.84887260
•
45.7
0.0
4.1
44.1
0.0
0.0
6.1


IonBasescul_MyHeritage
1.55807594
•
43.5
0.0
1.1
53.1
0.0
0.0
2.3


IonBasescul_Merged
0.44816635
•
44.5
0.0
3.0
46.1
0.0
1.4
5.0


Average
0.96805855
•
42.8
3.6
2.2
42.7
0.5
2.1
6.0

</tbody>



Mom_MyHeritage,22.73,2.19,2.72,35.69,36.68,0
Dad_MyHeritage,19.39,0,2.52,39.66,38.42,0
Brother_MyHeritage,19.47,0.43,4.42,38.03,37.65,0
IonBasescul_MyHeritage,23.15,0,1.93,36.56,38.36,0
IonBasescul_Merged,20.46,0.96,3.56,37.5,37.52,0

[Petalpusher]

v1



Mom_MyHeritage,22.73,2.19,2.72,35.69,36.68,0
Dad_MyHeritage,19.39,0,2.52,39.66,38.42,0
Brother_MyHeritage,19.47,0.43,4.42,38.03,37.65,0
IonBasescul_MyHeritage,23.15,0,1.93,36.56,38.36,0
IonBasescul_Merged,20.46,0.96,3.56,37.5,37.52,0


You shouldn't have Steppe IA in your dataset for v2, it's really v3 but i can't edit the original thread, so i reposted it in the previous page



Anatolian_NeolithicFarmer,1.90,0.00,0.00,36.44,61. 46,0.20
Mota_AncientEastAfrica,3.70,5.71,0.10,1.80,5.71,82 .98
Nganasan,5.90,0.00,91.30,2.80,0.00,0.00
Onge,0.10,86.89,13.01,0.00,0.00,0.00
Papuan,0.00,100.00,0.00,0.00,0.00,0.00
Yoruba_WestAfrica,0.00,0.00,0.00,0.00,0.00,100.00
Taforalt_AncientNorthAfrica,3.15,2.8,2.80,14.19,35 .48,41.58
Villabruna_WestHunterGatherer,0.00,0.00,0.00,100.0 0,0.00,0.00
Steppe_EMBA,40.92,2.40,1.10,33.93,21.16,0.50
Steppe_Eneolithic,39.64,7.31,0.90,44.14,7.61,0.40
Iranian_NeolithicFarmer,39.40,5.30,1.60,6.40,45.10 ,2.20

[Nurzat]

I think it's a shame ANE K7 with an oracle or K8 were never published on Gedmatch, then vahaduo.

in case it helps you compare to Gedrosia K6 and your MEC (my results):


Eurogenes K6

Yamnaya_related 39.83
WHG_extra 3.49
ENA 1.78
Middle_Eastern 13.76
Pre-Yamnaya 40.43
Sub-Saharan 0.71


Basal-rich K7

Ancient_North_Eurasian 18.29
Basal-rich 30.25
East_Eurasian 0.91
Oceanian 0.01
Southeast_Asian 0.33
Sub-Saharan 0
Villabruna-related 50.21


Eurogenes K8

ANE 14.65
South_Eurasian 0.19
Near_Eastern 44.85
East_Eurasian 2.12
WHG 37.71
Oceanian 0
Pygmy 0.48
Sub-Saharan 0


Eurogenes K9

East_Asian 0
Siberian 3.15
Sub-Saharan 0
Oceanian 0
Central_Asian 23.60
South_Asian 0.36
Amerindian 0
European 44.57
EEF 28.31

GedrosiaDNA K6/MEC:


my coordinates from GedMATCH: Nurzat,22.02,0,0.67,39.14,38.17,0

v1:
Target: Nurzat
Distance: 1.6097% / 1.60965347
51.5 Steppe_EMBA
48.0 Europe_EN
0.5 VillabrunaWHG

v2:
Target: Nurzat
Distance: 1.5116% / 1.51160916
50.4 Steppe_EMBA
44.0 Anatolia_N
5.6 VillabrunaWHG

[Petalpusher]

I think K7 BR is the best calc created so far, for ancients. Not publicly available unfortunately.

After a few years away from this stuff, i thought we might have got some basal samples finally but they aren't there and im starting to doubt they will ever be found in a pure form. Which would make things ten times easier and more precise.

Just WHG, Basal, ANE/AG and the other non W.Eurasian ancestrals.

[Leto]

Anatolian_NeolithicFarmer,1.90,0.00,0.00,36.44,61. 46,0.20
Mota_AncientEastAfrica,3.70,5.71,0.10,1.80,5.71,82 .98
Nganasan,5.90,0.00,91.30,2.80,0.00,0.00
Onge,0.10,86.89,13.01,0.00,0.00,0.00
Papuan,0.00,100.00,0.00,0.00,0.00,0.00
Yoruba_WestAfrica,0.00,0.00,0.00,0.00,0.00,100.00
Taforalt_AncientNorthAfrica,3.15,2.8,2.80,14.19,35 .48,41.58
Villabruna_WestHunterGatherer,0.00,0.00,0.00,100.0 0,0.00,0.00
Steppe_EMBA,40.92,2.40,1.10,33.93,21.16,0.50
Steppe_Eneolithic,39.64,7.31,0.90,44.14,7.61,0.40
Iranian_NeolithicFarmer,39.40,5.30,1.60,6.40,45.10 ,2.20
Target: Leto
Distance: 1.2133% / 1.21326283
41.3 Steppe_EMBA
37.5 Anatolian_NeolithicFarmer
14.9 Villabruna_WestHunterGatherer
6.3 Nganasan

Target: Dad
Distance: 1.2635% / 1.26348840
43.1 Steppe_EMBA
36.6 Anatolian_NeolithicFarmer
17.2 Villabruna_WestHunterGatherer
3.1 Nganasan

Target: Mom
Distance: 0.5043% / 0.50434538
31.9 Steppe_EMBA
30.7 Anatolian_NeolithicFarmer
17.2 Villabruna_WestHunterGatherer
10.2 Iranian_NeolithicFarmer
6.6 Nganasan
3.4 Steppe_Eneolithic

Target: Vsh
Distance: 1.4132% / 1.41322023
48.3 Steppe_EMBA
37.2 Anatolian_NeolithicFarmer
11.6 Villabruna_WestHunterGatherer
2.9 Nganasan

My mother's Mongoloid should be higher and my father's should be lower. Also the Iranian thing seems off.

[Leto]

Irish results at 4 populations

Target: Dedalus
Distance: 0.6150% / 0.61497452 | R4P
63.2Europe_EN
14.9Motala12
14.7AG2
7.2Steppe_IA


Sent from my iPhone using Tapatalk
That's fucking wrong, man. Just run the set from Petalpusher I quoted earlier and don't use Reduce.

[Petalpusher]

Target: Leto
Distance: 1.2133% / 1.21326283
41.3 Steppe_EMBA
37.5 Anatolian_NeolithicFarmer
14.9 Villabruna_WestHunterGatherer
6.3 Nganasan

Target: Dad
Distance: 1.2635% / 1.26348840
43.1 Steppe_EMBA
36.6 Anatolian_NeolithicFarmer
17.2 Villabruna_WestHunterGatherer
3.1 Nganasan

Target: Mom
Distance: 0.5043% / 0.50434538
31.9 Steppe_EMBA
30.7 Anatolian_NeolithicFarmer
17.2 Villabruna_WestHunterGatherer
10.2 Iranian_NeolithicFarmer
6.6 Nganasan
3.4 Steppe_Eneolithic

Target: Vsh
Distance: 1.4132% / 1.41322023
48.3 Steppe_EMBA
37.2 Anatolian_NeolithicFarmer
11.6 Villabruna_WestHunterGatherer
2.9 Nganasan

My mother's Mongoloid should be higher and my father's should be lower. Also the Iranian thing seems off.

What's different with your mother's ancestry? Also try to remove steppe_eneo, and see what happens, i left it for non euro but it can create problem breaking down the steppe.

[Leto]

A Caucasian Avar user from Dagestan

Target: A
Distance: 1.2666% / 1.26656713
53.2 Iranian_NeolithicFarmer
30.6 Steppe_EMBA
14.2 Anatolian_NeolithicFarmer
2.0 Nganasan

[Leto]

What's different with your mother's ancestry? Also try to remove steppe_eneo, and see what happens, i left it for non euro but it can create problem breaking down the steppe.
Some Onge noise has appeared

Target: Mom
Distance: 0.4819% / 0.48194472
36.5 Steppe_EMBA
30.5 Anatolian_NeolithicFarmer
17.3 Villabruna_WestHunterGatherer
8.9 Iranian_NeolithicFarmer
6.6 Nganasan
0.2 Onge

[Petalpusher]

Some Onge noise has appeared

Target: Mom
Distance: 0.4819% / 0.48194472
36.5 Steppe_EMBA
30.5 Anatolian_NeolithicFarmer
17.3 Villabruna_WestHunterGatherer
8.9 Iranian_NeolithicFarmer
6.6 Nganasan
0.2 Onge

Ok at least the eneo went back to the regular emba. There s some basal rich stuff here that can't go into either the steppe part that is more basal like iran_n, or in Barcin_N. Could be rather simply something CHG.

Iran_N is very noisy, or beyond noisy, it even sucks ssa for some that have real amount of it, and east easian, besides the high southeast asian but the samples from there are like that.

[Leto]

These two are Ukrainians

Target: Cumansky
Distance: 0.8455% / 0.84553607
43.4 Anatolian_NeolithicFarmer
41.9 Steppe_EMBA
12.5 Villabruna_WestHunterGatherer
2.2 Nganasan

Target: Lemgrant
Distance: 1.3063% / 1.30633184
44.6 Steppe_EMBA
39.1 Anatolian_NeolithicFarmer
13.5 Villabruna_WestHunterGatherer
2.8 Nganasan

I tried running two Kurdish users but the distance wasn't good (2.4-3.4).

[Armatus]

V1:

Target: Armatus
Distance: 0.7758% / 0.77582700
47.9 Europe_EN
33.7 Steppe_EMBA
15.8 Steppe_MLBA
2.6 VillabrunaWHG

V2:

Target: Armatus
Distance: 0.6567% / 0.65674692
47.2 Anatolia_N
42.7 Steppe_EMBA
10.1 VillabrunaWHG

[Scandal]

You shouldn't have Steppe IA in your dataset for v2, it's really v3 but i can't edit the original thread, so i reposted it in the previous page



Anatolian_NeolithicFarmer,1.90,0.00,0.00,36.44,61. 46,0.20
Mota_AncientEastAfrica,3.70,5.71,0.10,1.80,5.71,82 .98
Nganasan,5.90,0.00,91.30,2.80,0.00,0.00
Onge,0.10,86.89,13.01,0.00,0.00,0.00
Papuan,0.00,100.00,0.00,0.00,0.00,0.00
Yoruba_WestAfrica,0.00,0.00,0.00,0.00,0.00,100.00
Taforalt_AncientNorthAfrica,3.15,2.8,2.80,14.19,35 .48,41.58
Villabruna_WestHunterGatherer,0.00,0.00,0.00,100.0 0,0.00,0.00
Steppe_EMBA,40.92,2.40,1.10,33.93,21.16,0.50
Steppe_Eneolithic,39.64,7.31,0.90,44.14,7.61,0.40
Iranian_NeolithicFarmer,39.40,5.30,1.60,6.40,45.10 ,2.20

Target: universe
Distance: 0.4643% / 0.46431000
42.2 Anatolian_NeolithicFarmer
26.9 Steppe_EMBA
18.0 Villabruna_WestHunterGatherer
9.1 Iranian_NeolithicFarmer
2.3 Nganasan
1.5 Steppe_Eneolithic

[Scandal]

Difference betwen Iranian and anatolian neolithic farmer?

[Petalpusher]

Difference betwen Iranian and anatolian neolithic farmer?

Basal + WHG for Anatolian farmers vs Basal + ANE for Iranian farmers.

Try to remove steppe eno, as i said previously it's not really meant for Euro. Your WHG is probably overstimated, and steppe underestimated.

When Iran_N pops up, it can mean several things, either real near eastern ancestry or more likely for Euro that your main steppe source was not exactly WSH, rather a more southern shifted steppe kind, because Iran_n and/or CHG are already in the steppe component itself (along with EHG), so if it shows up it's an excess of that ancestry, higher than what is already in the Steppe EMBA.

[Scandal]

Basal + WHG for Anatolian farmers vs Basal + ANE for Iranian farmers.

Try to remove steppe eno, as i said previously it's not really meant for Euro. Your WHG is probably overstimated, and steppe underestimated.

When Iran_N pops up, it can mean several things, either real near eastern ancestry or more likely for Euro that your main steppe source was not exactly WSH, rather a more southern shifted steppe kind, because Iran_n and/or CHG are already in the steppe component itself (along with EHG), so if it shows up it's an excess of that ancestry, higher than what is already in the Steppe EMBA.
I only scored 1.5% of steppe_eno anyway.
Steppe is 1/4 to 1/3 whg, is that correcT?

[Petalpusher]

I only scored 1.5% of steppe_eno anyway.
Steppe is 1/4 to 1/3 whg, is that correcT?

Yes but it can skew the proportions, it's more AG and less farmer than Steppe EMBA.



Steppe is 1/4 to 1/3 whg, is that correcT?
Less than that, if you take Yamnaya as a reference it's 2/3 EHG, 1/3 Iran_N. Closer to 60/40 with CHG. EHG in itself is no more than 25% WHG. So let's say someone score 50% Steppe, that would capture around 16% WHG. As you progress in the steppe era, it captured more WHG and Anatolian farmers along.

[Scandal]

without steppe-eneo

Target: universe
Distance: 0.4662% / 0.46617736
41.8 Anatolian_NeolithicFarmer
28.4 Steppe_EMBA
18.3 Villabruna_WestHunterGatherer
9.1 Iranian_NeolithicFarmer
2.3 Nganasan
0.1 Onge

[Defcon2]

Target: Defcon2
Distance: 1.3647% / 1.36473788
56.5 Anatolian_NeolithicFarmer
41.9 Steppe_EMBA
1.0 Villabruna_WestHunterGatherer
0.6 Mota_AncientEastAfrica

[AlfonsoVIII]

Target: Defcon2
Distance: 1.3647% / 1.36473788
56.5 Anatolian_NeolithicFarmer
41.9 Steppe_EMBA
1.0 Villabruna_WestHunterGatherer
0.6 Mota_AncientEastAfrica

Saco muy parecido a tí, pero cambiando el WHG y el Ancient East Africa por Taforalt. Me llama la atención que ambos saquemos más del 40% de Steppe...

[Ion Basescul]

You shouldn't have Steppe IA in your dataset for v2, it's really v3 but i can't edit the original thread, so i reposted it in the previous page



Anatolian_NeolithicFarmer,1.90,0.00,0.00,36.44,61. 46,0.20
Mota_AncientEastAfrica,3.70,5.71,0.10,1.80,5.71,82 .98
Nganasan,5.90,0.00,91.30,2.80,0.00,0.00
Onge,0.10,86.89,13.01,0.00,0.00,0.00
Papuan,0.00,100.00,0.00,0.00,0.00,0.00
Yoruba_WestAfrica,0.00,0.00,0.00,0.00,0.00,100.00
Taforalt_AncientNorthAfrica,3.15,2.8,2.80,14.19,35 .48,41.58
Villabruna_WestHunterGatherer,0.00,0.00,0.00,100.0 0,0.00,0.00
Steppe_EMBA,40.92,2.40,1.10,33.93,21.16,0.50
Steppe_Eneolithic,39.64,7.31,0.90,44.14,7.61,0.40
Iranian_NeolithicFarmer,39.40,5.30,1.60,6.40,45.10 ,2.20


<tbody>
Target
Distance
Anatolian_NeolithicFarmer
Iranian_NeolithicFarmer
Nganasan
Papuan
Steppe_EMBA
Steppe_Eneolithic
Villabruna_WestHunterGatherer


Mom_MyHeritage
0.67808634
•
35.3
16.5
2.1
0.1
33.7
3.8
8.5


Dad_MyHeritage
1.29434746
•
46.9
0.0
1.9
0.0
43.9
0.0
7.3


Brother_MyHeritage
0.84887260
•
45.7
0.0
4.1
0.0
44.1
0.0
6.1


IonBasescul_MyHeritage
1.55807594
•
43.5
0.0
1.1
0.0
53.1
0.0
2.3


IonBasescul_Merged
0.48074074
•
44.2
1.0
3.2
0.0
46.1
0.0
5.5

</tbody>