Gedmatch calculators on Vahaduo

[Dunai]

I have added way more samples to all the Hungarian regions in K13, plus I calculated a brand new weighed national average, so please add this one:

Hungarian,30.52,32.40,14.21,7.17,10.58,1.23,0.92,0.51,1.19,0.56,0.36,0.19,0.16 (N=378)
Hungarian_Alföld,29.33,33.01,14.59,7.21,10.63,1.26,0.68,0.67,1.28,0.62,0.39,0.2,0.11 (N=73)
Hungarian_Budapest,31.23,32.45,14.11,7.29,9.79,1.37,0.91,0.59,1.06,0.51,0.3,0.22,0.16 (N=59)
Hungarian_Northern,30.35,35.36,13.29,6.2,10.12,0.75,1.05,0.5,1.16,0.51,0.38,0.15,0.17 (N=42)
Hungarian_Transdanubia,31.72,31.63,13.96,7.34,10.56,1.07,0.98,0.4,1.08,0.56,0.31,0.17,0.2 (N=71)
Hungarian_Transylvania,28.82,28.63,15.09,8.19,12.32,1.53,1.2,0.52,2.17,0.73,0.5,0.14,0.11 (N=20)
Csángó,27.24,29.39,15.24,7.75,12.54,1.61,1.36,1.45,2.06,0.79,0.37,0.09,0.13 (N=11)
Székely,28.1,28.52,15.06,8.2,13.03,1.29,0.95,0.88,2.33,0.74,0.3,0.23,0.14 (N=40)

[Leto]

For Eurogenes K13

North Caucasus pops

Avar,14.40,16.11,1.05,49.59,8.76,0.69,5.74,0.06,1.74,1.37,0.27,0.02,0.19
Dargin,14.95,17.38,0.62,50.93,7.03,0.27,4.53,0.11,1.40,2.41,0.14,0.04,0.28
Lak,13.14,17.90,0.88,50.54,7.79,0.64,4.30,0.20,2.24,1.83,0.30,0.19,0.23
Ingush,8.91,11.47,6.17,48.35,15.47,1.35,2.13,1.56,2.88,1.09,0.59,0,0.13

Bashkir,13.65,24.98,2.13,13.63,1.26,0.28,3.45,8.71,27.40,3.25,0.41,0.58,0.27

For Dodecad K12b

Korean,0,6.52,0,16.97,0,0.02,0.06,0,0.02,76.39,0,0

[Creoda]

Peterski kindly sent me 150 academic Dutch samples from different provinces, that I've split into 3 averages, North, South and Central, plus a new Dutch average. They look more accurate than the previous Dutch averages to me.

refs

Dutch - 150
Dutch_Central - 89 (Flevoland, Gelderland, North Holland, South Holland, Utrecht, Overijssel)
Dutch_North - 29 (Drenthe, Groningen, Friesland)
Dutch_South - 31 (Limburg, Noord Brabant)

K13

Dutch,48.51,25.09,12.03,5.04,3.99,1.18,0.90,0.43,0.51,0.70,0.48,0.49,0.57
Dutch_Central,49.13,25.33,11.52,4.94,3.63,1.27,0.93,0.47,0.41,0.75,0.49,0.46,0.59
Dutch_North,49.31,26.39,10.94,5.26,3.09,0.73,0.88,0.38,0.64,0.71,0.50,0.50,0.60
Dutch_South,45.96,23.19,14.52,5.14,5.85,1.37,0.82,0.34,0.68,0.57,0.43,0.58,0.49

K15

Dutch,36.64,25.79,10.96,9.05,8.31,3.27,1.94,0.86,0.66,0.28,0.33,0.53,0.36,0.42,0.53
Dutch_Central,36.69,26.55,11.21,8.97,7.6,3.21,1.68,0.89,0.68,0.32,0.25,0.58,0.37,0.40,0.55
Dutch_North,39.49,24.18,11.06,9.63,7.78,3.03,1.06,0.42,0.76,0.19,0.48,0.47,0.39,0.42,0.56
Dutch_South,33.83,25.11,10.15,8.76,10.87,3.67,3.48,1.16,0.52,0.25,0.45,0.45,0.31,0.48,0.45

Edit: also Dodecad k12b

Dutch,7.90,0.52,0.81,0.35,35.72,44.39,0.67,0.52,0.97,0.22,7.41,0.53
Dutch_Central,7.70,0.52,0.77,0.35,35.65,44.88,0.62,0.45,0.97,0.20,7.31,0.56
Dutch_North,9.21,0.50,0.70,0.35,35.43,46.14,0.97,0.58,0.60,0.20,4.95,0.37
Dutch_South,7.30,0.52,1.02,0.34,36.15,41.39,0.51,0.67,1.28,0.30,9.93,0.57

[Leto]

Peterski kindly sent me 150 academic Dutch samples from different provinces, that I've split into 3 averages, North, South and Central, plus a new Dutch average. They look more accurate than the previous Dutch averages to me.

According to Dodecad you are a Dutchman

1 North_European 45.39
2 Atlantic_Med 39.64
3 Gedrosia 10.39
4 Caucasus 4.27

Closest distance I've had in an Oracle, but no Dutch ancestry.

1 Dutch (Dodecad) 1.06
2 CEU30 (1000Genomes) 1.99
3 English (Dodecad) 2.24

[Kyp]

Dodecadk12b:

Turkmen_Afghanistan,16.85,18.03,0.20,0.44,5.52,16.12,4.35,0.19,2.13,18.83,17.29,0.07

[Leto]

Tajik averages for EU K13. Do not delete the original one, it's a bit different. Curiously the South Asian ranges from ~9 percent to almost 19.

Tajik_Ayni,10.75,12.50,1.08,35.13,10.06,0.76,13.59,4.76,8.35,1.81,0.38,0.61,0.23	
Tajik_Hisor,10.03,12.56,0.98,35.56,9.36,0.36,14.99,4.84,8.48,2.16,0.35,0,0.33
Tajik_Kulob,7.22,14.09,0,38.91,9.05,0.47,16.10,4.31,6.23,3.19,0.22,0.10,0.09

Someone can do the Pamiris, I don't know if I have the kits.

[Lucas]

Hello guys
I don't have time in last days to update calcs. I will add all updated tomorrow.

BTW I added Pennsylvania_Dutch,42.26,21.26,17.6,5.58,9.87,1.37 ,0.81,0.09,0.83,0.57,0.88,0.22,0.13
to K13

[Amon]

New averages for Dodecad K12b

Tajik_Balkh,27.89,7.48,0.13,1.54,3.82,13.82,15.5,0.09,3.28,9,17.35,0.1
Turkmen_TKM,18.32,11.98,0.09,0.82,6.29,16.13,6,0,6.01,13.79,20.44,0.02
Mongol,2.58,24.14,0.04,14.13,0.37,3.08,0.57,0.14,0.23,52.01,2.61,0.1
Zhuang,0,0.2,0,69.97,0.07,0.04,0.31,0,0,29.55,0,0
Han_south,0.06,0.3,0.03,50.48,0,0,0.3,0.1,0,48.56,0.04,0.13

Rename the original Mongol reference to Mongol_Khalka.

[Leto]

New averages for Dodecad K12b

Tajik_Balkh,27.89,7.48,0.13,1.54,3.82,13.82,15.5,0.09,3.28,9,17.35,0.1
Turkmen_TKM,18.32,11.98,0.09,0.82,6.29,16.13,6,0,6.01,13.79,20.44,0.02
Mongol,2.58,24.14,0.04,14.13,0.37,3.08,0.57,0.14,0.23,52.01,2.61,0.1
Zhuang,0,0.2,0,69.97,0.07,0.04,0.31,0,0,29.55,0,0
Han_south,0.06,0.3,0.03,50.48,0,0,0.3,0.1,0,48.56,0.04,0.13

Rename the original Mongol reference to Mongol_Khalka.

Wasn't "Turkmen" also from Turkmenistan? I think that one has a bigger sample size (10-12 instead of 5 in your case).

[Amon]

Wasn't "Turkmen" also from Turkmenistan? I think that one has a bigger sample size (10-12 instead of 5 in your case).

I dunno about that avg (its prolly from Ashgabat), but its EE doesn't represent the whole of Turkmenistan. The new avg's EE is around 27% and AASI 3%, which is different from the original's 21% ENA+AASI.