Gedmatch calculators on Vahaduo

[Lucas]

We have new Croatian K13 averages! Lucas please replace old one with them (they are made by Moro with help of other regulars from south Slavic genetic threads)

Croat_South,26.36,31.83,15.92,8.38,13.60,1.47,0.50 ,0.28,0.56,0.47,0.37,0.12,0.11
Croat_West,28.53,31.60,15.24,7.61,13.31,1.38,0.61, 0.38,0.36,0.38,0.40,0.13,0.07
Croat_East,26.84,34.60,14.13,8.26,12.31,1.43,0.22, 0.12,1.08,0.68,0.30,0.01,0.01
Croat_North,30.06,34.35,14.42,7.05,10.10,1.33,0.54 ,0.31,0.52,0.61,0.40,0.16,0.14
Croat,28.10,33.15,15.02,7.76,12.05,1.40,0.49,0.28, 0.59,0.54,0.38,0.12,0.10

OK added. What are those regions on the map?

[Jana]

OK added. What are those regions on the map?

Thanks!

It's like this. North Croat includes NW and central regions around capital Zagreb (Kajkavian speaking north and centre in short)
East is Slavonia, with it's subregions Posavina, Baranja, Srijem. West are regions of Istria, Kvarner and Gorski kotar.
South is everything south of Sava river which was also border of Roman Dalmatia and Panonnia and it includes Dalmatia, Lika and all Bosnia-Herzegovina Croats.

This is most logical division we have so far



You can use this map for orientation. Sava river flows along northern border of Croatia and Bosnia btw.

[Jana]

rough division for visulization. So we got these 4 + one general weighted average.

[MoroLP]

OK added. What are those regions on the map?

As we (Stearsolina, vbnetkhio, and me) explained at the thread "Croat K13 regional (and national) averages", it is basically a variation of a map from Mršić et al. 2012, where Northern and Central region make "North", Eastern makes "East", Western makes "West" excluding the Lika-Senj County, which was added to the Southern plus Bosnia and Herzegovina making "South". The county of Lika-Senj could have been added to "West" and wouldn't make a substantial difference, but alongside other regions, the "South" approximately makes the borders of old medieval Croatia which was located south of river Sava. Also, due to historical connections and migrations as well genetical proximity with other "South" regions, it's more logical to include it in the "South" instead of "West" due to only geographical reasoning.

[Kaazi]

OK added. What are those regions on the map?

Hi @Lucas,
Please remove "Brahmins_from_Uttaranchal" from Dodecad K12b and "Brahmin_Uttaranchal" from Harappaworld since both of those are based on 1 outlier sample ran by Zack. Other actual Brahmins from Uttaranchal have very different result than that average which is very high East Asian.

Two actual Uttaranchal Brahmin samples and both have diverse results.
Sundriyal
1 S-Indian 38.16
2 Baloch 33.32
3 Caucasian 8.97
4 NE-Euro 8.86
5 NE-Asian 6.64
6 Siberian 1.82
7 American 0.74
8 Mediterranean 0.57
9 Beringian 0.49
10 Papuan 0.43

Nautiyal
1 S-Indian 34.85
2 Baloch 31.57
3 NE-Asian 12.62
4 NE-Euro 7.25
5 SE-Asian 4.06
6 Caucasian 3.68
7 Beringian 2.05
8 Siberian 1.61
9 Papuan 1.12
10 Mediterranean 0.71
11 American 0.5

Also please remove "Nepali" from harappaworld which was a meaningless average of two Brahmins and 1 Chhetri.

[Dunai]

Please remove these on K13:
Latvian,26.7383333333,58.3616666667,6.41,2.7266666 667,0.7816666667,1.095,0.7733333333,0.0933333333,1 .4333333333,0.7316666667,0.3216666667,0.3283333333 ,0.22
Slovak,30.84,37.1846153846,12.9876923077,6.2976923 077,8.0007692308,1.0869230769,1.0276923077,0.39153 84615,0.5769230769,0.7338461538,0.5307692308,0.146 1538462,0.2138461538
Turk_Western_Thrace,18.13666667,18.07,14.46333333, 14.55333333,23.87,3.053333333,0.56,1.393333333,4.1 93333333,0.673333333,0.356666667,0.043333333,0.316 666667
Turk_Bulgaria_Northeast,19.86333333,21.44333333,13 .87666667,13.28666667,20.28333333,2.653333333,2.03 6666667,2.72,1.99,0.863333333,0.296666667,0.196666 667,0.493333333
Turk_Bulgaria_Central,20.69666667,18.65666667,15.3 9,15.38333333,18.53666667,2.72,2.336666667,1.65333 3333,3.256666667,0.893333333,0.196666667,0.17,0.11

And replace them with these, as I rounded them for aesthetic reasons:
Latvian,26.74,58.36,6.41,2.73,0.78,1.1,0.77,0.09,1 .43,0.73,0.32,0.33,0.22
Slovak,30.84,37.18,12.99,6.3,8,1.09,1.03,0.39,0.58 ,0.73,0.53,0.15,0.21
Turk_Western_Thrace,18.14,18.07,14.46,14.55,23.87, 3.05,0.56,1.39,4.19,0.67,0.36,0.04,0.32
Turk_Bulgaria_Northeast,19.86,21.44,13.88,13.29,20 .28,2.65,2.04,2.72,1.99,0.86,0.3,0.2,0.49
Turk_Bulgaria_Central,20.7,18.66,15.39,15.38,18.54 ,2.72,2.34,1.65,3.26,0.89,0.2,0.17,0.11

[Leto]

Please reduce the number of Macedonian and Balkan Turk averages, they shouldn't dominate the spreadsheet being small and insignificant populations. I can understand Turkey as a country of 83 million. But here we're talking about 1-2 million people only.

[Kyp]

For Dodecadk12b:

Turkmen_Iran,21.19,9.46,0.54,1.15,5.45,12.76,4.94,0.22,6.77,11.03,26.38,0.12

Please delete the old Turkmen_Iran

[MoroLP]

Please reduce the number of Macedonian and Balkan Turk averages, they shouldn't dominate the spreadsheet being small and insignificant populations. I can understand Turkey as a country of 83 million. But here we're talking about 1-2 million people only.

Someone should make only a few averages for Macedonians (eg East, West, North, South) and Balkan Turks (eg 1 Turk_Bulgaria average instead of 4 Turk_Bulgaria averages). What about Greek averages (26, with national 27)? Any reason for such a high number? Italians due to the size of the country, individually established regions, and the population as well as regional peculiarities are fine, but what's the point of sub-regional Emilia_ovest, Emilia_est, Calabria_citra, Calabria_ultra?

It's great to keep sub-regional averages on the forum or some other spreadsheet as a piece of evidence for more detailed analysis and discussion, but on Vahaduo perhaps should only be general regional and national averages, not each island, village, city, partial region, and so on. Many of such averages are probably based on a very low number of samples which makes them biased as well.

[Jana]

Agree with posters above, some countries have way too many illogical averages. There are also two Swiss German and Swiss Italian averages for each ethicity.