Gedmatch calculators on Vahaduo

[Dunai]

New Czech average made of only full ethnic Czechs with gedcoms, and weighted for regional size (Bohemia>Moravia), people with partial eg. German or Jewish ancestry excluded.

Czech,32.33,37.42,11.45,5.60,8.50,1.59,1.15,0.44,0.51,0.91,0.00,0.05,0.06

It was about time this average also got a proper update, now only if Slovak and Slovenian (maybe this already got an update) also would get one (btw, can't wait for the improved German-Austrian averages).

Distance to: Czech
2.37242492 Czech(Old)
2.45089779 Slovak
4.00027499 Hungarian_North
4.70422151 Sorb
4.81290972 Slovenian
5.10388088 Austrian_Carinthia
5.36529589 Croat_North
5.65107954 Ukrainian_Galicia
5.73259976 Polish_South
6.06321697 German_West_Prussia
6.18276637 Hungarian_Transdanubia+Budapest
6.29951585 Lemko_Poland
6.46527648 Hungarian
6.54043577 Ukrainian_Carpathians
6.73913941 Polish_Subcarpathia
6.79235600 Polish_Lesser_Poland
6.81703748 German_Saxony
6.83180064 Hungarian_Alföld
7.21711161 Polish_Silesia
7.30586750 Upper_Silesia
7.39693856 Polish_Greater_Poland
7.42708557 Ukrainian_Moldova
8.18109406 Croat
8.26628090 Croat_East
8.59433534 German_County_Glatz

Target: Czech
Distance: 0.4646% / 0.46456016 | ADC: 0.25x RC
46.7 Sorb
32.7 Slovak
9.9 Austrian_Carinthia
8.0 German_Saxony-Anhalt_south
2.4 Saudi
0.3 Pima

Target: Czech
Distance: 1.3113% / 1.31134339 | ADC: 0.5x RC
46.8 Slovak
28.5 Sorb
24.7 Austrian_Carinthia

[Leto]

New Czech average made of only full ethnic Czechs with gedcoms, and weighted for regional size (Bohemia>Moravia), people with partial eg. German or Jewish ancestry excluded.

Czech,32.33,37.42,11.45,5.60,8.50,1.59,1.15,0.44,0.51,0.91,0.00,0.05,0.06

Could you run those samples through Dodecad too? I wonder if it's close to what I have. Probably so.

[Leto]

I'm new to this, hope I'm doing everything right

What is your racial background? Just share the components please

[Aodhan]

What is your racial background? Just share the components please

you mean this?

[Leto]

you mean this?
[IMG]https://i.imgur.com/cJZgcWR.jpg

Yep.

Aodhan(Brazilian),35.38,10.97,23.15,6.61,12.23,0.15,0.44,0,0,6.95,0.89,1.39,1.84

Target: Aodhan(Brazilian)
Distance: 1.6986% / 1.69855585 | ADC: 0.25x RC
48.7	Italian_Aosta_Valley
39.7	Spanish_Andalusia
7.8	Maya
2.1	Ossetian
1.7	Mbuti

Target: Aodhan(Brazilian)
Distance: 2.5910% / 2.59100141 | ADC: 0.5x RC
49.6	Italian_Aosta_Valley
36.1	Spanish_Andalusia
8.4	Maya
5.9	French_Provence

Cool results, you're basically white (Southwestern European) plus minor non-European (~10%).
You can model yourself in another thread using only the Apricity members' results.

[Aodhan]

Yep.

Aodhan(Brazilian),35.38,10.97,23.15,6.61,12.23,0.15,0.44,0,0,6.95,0.89,1.39,1.84

Target: Aodhan(Brazilian)
Distance: 1.6986% / 1.69855585 | ADC: 0.25x RC
48.7	Italian_Aosta_Valley
39.7	Spanish_Andalusia
7.8	Maya
2.1	Ossetian
1.7	Mbuti

Target: Aodhan(Brazilian)
Distance: 2.5910% / 2.59100141 | ADC: 0.5x RC
49.6	Italian_Aosta_Valley
36.1	Spanish_Andalusia
8.4	Maya
5.9	French_Provence

Cool results, you're basically white (Southwestern European) plus minor non-European (~10%).
You can model yourself in another thread using only the Apricity members' results.

I'm still learning how to read this stuff. I received my results yesterday, do you mind helping me? How did you get those results?

[Jana]

It was about time this average also got a proper update, now only if Slovak and Slovenian (maybe this already got an update) also would get one (btw, can't wait for the improved German-Austrian averages).

Distance to: Czech
2.37242492 Czech(Old)
2.45089779 Slovak
4.00027499 Hungarian_North
4.70422151 Sorb
4.81290972 Slovenian
5.10388088 Austrian_Carinthia
5.36529589 Croat_North
5.65107954 Ukrainian_Galicia
5.73259976 Polish_South
6.06321697 German_West_Prussia
6.18276637 Hungarian_Transdanubia+Budapest
6.29951585 Lemko_Poland
6.46527648 Hungarian
6.54043577 Ukrainian_Carpathians
6.73913941 Polish_Subcarpathia
6.79235600 Polish_Lesser_Poland
6.81703748 German_Saxony
6.83180064 Hungarian_Alföld
7.21711161 Polish_Silesia
7.30586750 Upper_Silesia
7.39693856 Polish_Greater_Poland
7.42708557 Ukrainian_Moldova
8.18109406 Croat
8.26628090 Croat_East
8.59433534 German_County_Glatz

Target: Czech
Distance: 0.4646% / 0.46456016 | ADC: 0.25x RC
46.7 Sorb
32.7 Slovak
9.9 Austrian_Carinthia
8.0 German_Saxony-Anhalt_south
2.4 Saudi
0.3 Pima

Target: Czech
Distance: 1.3113% / 1.31134339 | ADC: 0.5x RC
46.8 Slovak
28.5 Sorb
24.7 Austrian_Carinthia

Slovenian update is posted few pages back (post #3435), but Lucas didn't add it to the sheet yet. German/Austrian update is very soon. It's basically finished, just few details remain.

[Dunai]

Slovenian update is posted few pages back (post #3435), but Lucas didn't add it to the sheet yet. German/Austrian update is very soon. It's basically finished, just few details remain.

I see their old average was really good, very close to the new one, also little bit surprising to me that both Slovaks and Czechs (used the new average) are closer to them than Croats:

Distance to: Slovene
0.81498466 Slovenian
3.00680894 Hungarian
3.71052557 Slovak
4.62319154 Czech
5.23260929 Croat

[Leto]

I'm still learning how to read this stuff. I received my results yesterday, do you mind helping me? How did you get those results?

No problem, that is just a custom oracle from Vahaduo
http://vahaduo.genetics.ovh/
You need to enter the values as I did and then run the oracle. ADD DIST COL might be necessary because it reduces the number of references used.

[Alenka]

new Slovenian reference for K13:

Slovene,31.98,34.42,14.67,6.14,9.29,1.04,0.83,0.12,0.54,0.33,0.29,0.10,0.25

Only made of Slovenians with gedcomes (those with Italian, Austrian etc ancestry excluded) from various parts of Slovenia. It is extremely close to current average made by Vbn (academic + some kits combined I think), so this proves he did a great job with it, but this will be even more reliable, we completely eliminated academic samples with unchecked ancestry.

We also included kits with high snp count only. Please replace old Slovenian average with this one!

Nice work.