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how ancients (CHG , Iran N , Anatolia N etc) likely looked like

Kurdquistador

Moderator
Staff member
well that is already some difference right there

however i am asking myself if the natufian kit is not too old for gedmatch
 

Ben Dover

Moderator
Staff member
Country
India
Funny thing is that in Copper Age Leavnt and in early BA Levant, SW Asian score is higher than in Levant PPNB and simultaneously Med decreases
 

Kurdquistador

Moderator
Staff member
i looked for iran meso kit and found this kit

M825671

but gedmatch runs it well actually

by the way it scores 7% north european in dodecad k12b
 

Ben Dover

Moderator
Staff member
Country
India
eurogenes k13 is decent in that regard

and even though the calc overall is not that good mdlp k16 is actually good in doing that surprisingly
I tried all of those calcs but non of them are good enough to determine the unknown kit's ancestry. Today I ran an Azeri kit through Eurogenes K13 for example and the mixed mode results came off as 90% Kurdish or 92% Kurdish + 10% some south Asian ethnicity
 

Ben Dover

Moderator
Staff member
Country
India
i looked for iran meso kit and found this kit

M825671

but gedmatch runs it well actually

by the way it scores 7% north european in dodecad k12b
Western European
-​
Siberian
-​
East African
-​
West Central Asian
64.33 Pct​
South Asian
0.28 Pct​
West African
3.53 Pct​
Caucasus
22.18 Pct​
Finnish
4.9 Pct​
Mediterranean
-​
Southwest Asian
4.79 Pct​
North European
-​
East Asian
-​
 

Ben Dover

Moderator
Staff member
Country
India
hotu doesnt work for gedrosia k6

M608390
Western European
4.36 Pct​
Siberian
2.72 Pct​
East African
-​
West Central Asian
46.36 Pct​
South Asian
5.09 Pct​
West African
10.85 Pct​
Caucasus
21.47 Pct​
Finnish
0.14 Pct​
Mediterranean
-​
Southwest Asian
3.52 Pct​
North European
5.5 Pct​
East Asian
-​
 

Kurdquistador

Moderator
Staff member
I tried all of those calcs but non of them are good enough to determine the unknown kit's ancestry. Today I ran an Azeri kit through Eurogenes K13 for example and the mixed mode results came off as 90% Kurdish or 92% Kurdish + 10% some south Asian ethnicity


for non mixed people the population modelling is not much important . i thought you mean for mixed people like 50 50 . like half german half kurdish for example etc

the azeri gets modelled like that because it works like this :

if your results for example are very similar to the kurdish reference in the spreadsheet but with the difference that you score a little more south asian (and maybe some other components that is also high in south asians) even if only 2-3 % then it will just show Kurdish + 5-10% south asian for that person even though he/she has nothing to do with south asians
 

Ben Dover

Moderator
Staff member
Country
India
for non mixed people the population modelling is not much important . i thought you mean for mixed people like 50 50 . like half german half kurdish for example etc

the azeri gets modelled like that because it works like this :

if your results for example are very similar to the kurdish reference in the spreadsheet but with the difference that you score a little more south asian (and maybe some other components that is also high in south asians) even if only 2-3 % then it will just show Kurdish + 5-10% south asian for that person even though he/she has nothing to do with south asians
I meant it for both mixed and non-mixed people.

In that case, no active calculator on gedmatch works fine but out of all the calcs available, I found out that Harrapaworld mixed mode gives the most accurate results
 
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