updatedQuote:
Originally Posted by CommonSense
Serb_Serbia_Shopluk,23.50,27.64,18.07,9.25,17.09,1 .63,0.65,0.12,1.05,0.38,0.47,0.23,0.10
Serb_Croatia_Dalmatia,25.49,29.53,16.66,8.89,15.69 ,1.15,0.67,0.19,0.73,0.56,0.34,0.08,0.04
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updatedQuote:
Originally Posted by CommonSense
Serb_Serbia_Shopluk,23.50,27.64,18.07,9.25,17.09,1 .63,0.65,0.12,1.05,0.38,0.47,0.23,0.10
Serb_Croatia_Dalmatia,25.49,29.53,16.66,8.89,15.69 ,1.15,0.67,0.19,0.73,0.56,0.34,0.08,0.04
Ok someone can post avereages for adding to K13, K15 Vahaduo?
they are on page 55, + the Serbian average on 56 and the updates on this pageQuote:
Originally Posted by Lukasz
On page 55 still stay average for Dalmatian Serbs on 10 samples without Grulović, Aye's dad and Macura, change in new one on 13 samples.Quote:
Originally Posted by vbnetkhio
the East Bosnians i have are "Slavic-Moldavian" shifted, that's why you get it. but on a larger sample i'm sure more southern ones will appear and the East Bosnian average will end up very similar to othes.Quote:
Originally Posted by Dušan
what do you think, would it be better to make averages by genetic groupings rather than geographic?
I am not sure, both ideas are good. I would keep geographic regions, but make regions larger.
Banija, Kordun, Lika, Dalmatia and Bosanska Krajina are one region by origin of their Serb population.
But on the other hand, there are lot of people whose origin are from different region - one grandpa from Lika, other from Šumadija, one grandma from Vojvodina, other grandma from east Bosnia etc.
How to place them?
Serbs with ancestors from different regions should be only calculated in general Serbian average, not in any regional.Quote:
Originally Posted by Dušan
that's what i did.Quote:
Originally Posted by Pribislav
How about this, a little bit experimental:Quote:
Originally Posted by Dušan
4 averages based on 4 corners of the Serbian cluster which all Serbs can be shown as a mixture of. each is based on only 2 samples.
the average of these 4, from 8 samples:Code:Montenegrin_Coast,27.26,21.22,20.05,10.52,17.58,1.13,0.12,0.23,0.70,0.86,0.04,0.03,0.26
Serbia_far_south,18.98,26.35,19.20,10.89,20.90,1.70,0.44,0.00,0.87,0.10,0.59,0.00,0.01
Serb_Slavic_shifted,22.26,35.21,16.26,10.29,12.67,1.43,0.14,0.59,0.84,0.00,0.34,0.00,0.00
Serb_Germanic_shifted,29.17,31.95,15.68,6.42,11.22,2.66,0.88,1.08,0.01,0.60,0.35,0.00,0.00
it's very similar to the academic Belgrade average, and my Serbian average from more than 200 samples.Code:Serb,24.41,28.68,17.80,9.53,15.59,1.73,0.39,0.47,0.60,0.39,0.33,0.01,0.07
i based this on this PCA:
https://i.imgur.com/Z5UA9fz.png
i cut of some of the more Germanic samples, i don't have any info about them, i doubt they are full Serbs.
i think this way the entire Serbian range is captured.
averaging out Serbs by large geographic regions with a proper sample just results in a dozen identical averages.
@Dušan
k15 and k36 values if you want to do the Tolan tools for them:
Serb Montenegrin_Coast Serbia_far_south Serb_Slavic_shifted Serb_Germanic_shifted 17.91 17.13 18.40 16.33 19.79 13.92 18.35 7.78 11.57 18.00 19.29 16.38 15.99 23.94 20.87 11.05 5.51 10.55 15.56 12.59 13.73 15.16 16.21 12.17 11.39 9.19 10.56 10.94 9.55 5.71 12.25 14.34 17.91 9.42 7.34 1.63 1.14 1.47 1.14 2.78 0.24 0.00 0.16 0.00 0.80 0.13 0.00 0.00 0.08 0.43 0.20 0.55 0.15 0.09 0.00 0.20 0.61 0.00 0.00 0.19 0.20 0.00 0.47 0.18 0.16 0.05 0.18 0.00 0.00 0.00 0.03 0.11 0.00 0.00 0.00 Serb Montenegrin_Coast Serbia_far_south Serb_Slavic_shifted Serb_Germanic_shifted 0.00 0.00 0.00 0.00 0.00 0.12 0.00 0.00 0.00 0.47 2.46 3.24 3.80 2.18 0.65 1.00 1.71 0.00 1.64 0.64 0.00 0.00 0.00 0.00 0.00 6.48 4.85 5.94 7.75 7.39 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 9.93 12.52 9.33 11.52 6.34 0.00 0.00 0.00 0.00 0.00 13.66 11.57 10.10 17.66 15.34 6.14 6.49 11.54 3.95 2.57 8.30 3.62 8.48 10.28 10.83 3.69 0.35 3.04 6.32 5.05 3.61 4.40 3.90 2.94 3.21 7.90 11.91 5.37 4.28 10.05 0.00 0.00 0.00 0.00 0.00 14.04 14.69 15.96 11.95 13.57 0.00 0.00 0.00 0.00 0.00 1.68 3.01 2.34 0.44 0.96 0.00 0.00 0.00 0.00 0.00 4.42 4.86 0.00 1.92 10.90 4.23 3.92 5.31 4.06 3.64 7.18 8.62 6.83 7.97 5.31 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.00 0.00 0.00 0.67 0.00 0.00 0.00 0.00 0.00 0.11 0.00 0.45 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.14 1.51 1.53 1.42 0.09 3.75 2.78 6.12 3.73 2.38
for Vahaduo
Code:Serb,17.91,13.92,19.29,11.05,13.73,9.19,12.25,1.63,0.24,0.13,0.20,0.20,0.20,0.05,0.03
Montenegrin_Coast,17.13,18.35,16.38,5.51,15.16,10.56,14.34,1.14,0.00,0.00,0.55,0.61,0.00,0.18,0.11
Serbia_far_south,18.40,7.78,15.99,10.55,16.21,10.94,17.91,1.47,0.16,0.00,0.15,0.00,0.47,0.00,0.00
Serb_Slavic_shifted,16.33,11.57,23.94,15.56,12.17,9.55,9.42,1.14,0.00,0.08,0.09,0.00,0.18,0.00,0.00
Serb_Germanic_shifted,19.79,18.00,20.87,12.59,11.39,5.71,7.34,2.78,0.80,0.43,0.00,0.19,0.16,0.00,0.00
Serb,0.00,0.12,2.46,1.00,0.00,6.48,0.00,0.00,9.93,0.00,13.66,6.14,8.30,3.69,3.61,7.90,0.00,14.04,0.00,1.68,0.00,4.42,4.23,7.18,0.00,0.00,0.00,0.00,0.00,0.00,0.17,0.00,0.11,0.00,1.14,3.75
Montenegrin_Coast,0.00,0.00,3.24,1.71,0.00,4.85,0.00,0.00,12.52,0.00,11.57,6.49,3.62,0.35,4.40,11.91,0.00,14.69,0.00,3.01,0.00,4.86,3.92,8.62,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,1.51,2.78
Serbia_far_south,0.00,0.00,3.80,0.00,0.00,5.94,0.00,0.00,9.33,0.00,10.10,11.54,8.48,3.04,3.90,5.37,0.00,15.96,0.00,2.34,0.00,0.00,5.31,6.83,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.45,0.00,1.53,6.12
Serb_Slavic_shifted,0.00,0.00,2.18,1.64,0.00,7.75,0.00,0.00,11.52,0.00,17.66,3.95,10.28,6.32,2.94,4.28,0.00,11.95,0.00,0.44,0.00,1.92,4.06,7.97,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,1.42,3.73
Serb_Germanic_shifted,0.00,0.47,0.65,0.64,0.00,7.39,0.00,0.00,6.34,0.00,15.34,2.57,10.83,5.05,3.21,10.05,0.00,13.57,0.00,0.96,0.00,10.90,3.64,5.31,0.00,0.00,0.00,0.00,0.00,0.00,0.67,0.00,0.00,0.00,0.09,2.38