Gedmatch calculators on Vahaduo

[harutsafaryan07]

for MDLP K23b

Armenian_East,0.65,1.55,19.77,0.23,1.58,0.08,0.06, 46.74,0.08,0.16,0.03,8.80,0.04,0.24,0.29,13.79,3.0 7,0.26,0,0.13,0.03,0.0,2.20
Turk_Central,0.61,2.55,14.23,0.75,1.08,0.38,0.54,3 8.83,0.08,0.48,2.41,11.21,0.11,0.37,0.07,10.33,2.8 8,0.26,0.09,1.46,0.04,4.05,7.17
Turk_East,0.31,2.78,19.06,0.29,1.06,0.41,0.47,43.9 6,0.12,0.18,0.5,8.85,0.11,0.52,0.01,11.93,2.4,0.14 ,0.06,0.81,0.04,2.21,3.59
Turk_East_Black_sea,0.2,2.1,17.95,0.17,0.51,0.43,0 .37,54.74,0.1,0.07,0.08,8.01,0.19,0.43,0.05,9.36,2 .12,0.19,0.15,0.14,0.09,0.45,2.03
Turk_Northwest,0.15,2.89,12.81,1.39,1.07,0.42,0.83 ,36.47,0,0.44,3.02,11.1,0.01,0.44,0.2,8.52,1.9,0.1 8,0.18,2.12,0,4.69,11.15
Turk_South,0.28,3.29,13.97,0.39,1.72,0.44,0.39,36. 51,0.09,0.61,3.03,10.33,0.1,0.2,0.2,10.06,3.33,0.7 3,0.12,1.79,0.24,5.25,6.91
Turk_West,0.49,3.2,13.09,0.54,1.36,0.13,0.72,35.67 ,0.06,0.34,2.85,12.17,0.03,0.49,0.06,8.76,2.97,0.7 9,0.2,1.48,0.16,5.58,8.85
Turkey_Azeri,0.75,2.43,20.55,0.79,3.64,0,0.53,39.2 3,0.02,0.08,1.39,8.3,0.27,0.03,0.09,10.75,1.99,0.4 1,0.18,1.13,0,2.36,5.06
Kurd_Kurmanji_Turkey,0.54,3.05,23.29,0.18,2.22,0.1 4,0.23,39.3,0.11,0.54,0.64,7.04,0.18,0.22,0.19,11. 72,2.92,0.58,0.05,0.89,0.15,1.01,4.78
Laz_Artvin,0.29,3.3,19.79,0.13,0.09,0.52,0.69,55.4 1,0.2,0.09,0,7.05,0.43,0.26,0,7.57,1.51,0.16,0.27, 0.19,0.13,0.44,1.47
Laz_Rize,0.13,1.63,17.73,0.2,0.09,0.36,0.45,59.81, 0.05,0.07,0.06,6.06,0.2,0.68,0.03,7.4,1.75,0.38,0. 12,0.16,0.24,0.19,2.22
Greek_Trabzon,0,1.18,15.84,0.47,0.22,0.66,0.07,52. 19,0.06,0.06,0,10.3,0,0,0,11.55,3.11,0.22,0.03,0.2 3,0,0.07,3.23
Hemshin_Rize,0.14,1.93,18.29,0.29,0.42,0.45,0.1,50 .99,0.05,0,0.25,9.87,0.21,0.42,0.21,11.18,2.26,0.1 8,0.03,0.1,0.09,0.91,1.61
Zaza,0.25,2.56,24.63,0.56,2.23,0.23,0.51,40.63,0.1 ,0.16,0.43,7.34,0.03,0.11,0.1,12.37,2.67,0.3,0.15, 0,0.08,0.9,0.04
Armenian_West,0.18,1.44,18.08,0.12,0.84,0.25,0.22, 46.63,0.14,0.17,0.02,10.88,0.07,0.2,0.02,15.08,3.7 ,0.17,0.14,0.05,0.02,0.21,1.33
Turks_Anatolia,0.41,2.95,14.43,0.72,1.25,0.37,0.55 ,37.96,0.08,0.39,2.58,10.89,0.1,0.35,0.11,10.06,2. 75,0.51,0.13,1.56,0.08,4.57,7.21
Cappadocian_Greek,0.1,0.8,12.48,0.2,0.24,0.19,0,45 .99,0.09,0,0.73,16.29,0,0.06,0,13.21,3.84,0.18,0.0 6,0.34,0.05,0.09,9.68

[Lucas]

for MDLP K23b

Armenian_East,0.65,1.55,19.77,0.23,1.58,0.08,0.06, 46.74,0.08,0.16,0.03,8.80,0.04,0.24,0.29,13.79,3.0 7,0.26,0,0.13,0.03,0.0,2.20
Turk_Central,0.61,2.55,14.23,0.75,1.08,0.38,0.54,3 8.83,0.08,0.48,2.41,11.21,0.11,0.37,0.07,10.33,2.8 8,0.26,0.09,1.46,0.04,4.05,7.17
Turk_East,0.31,2.78,19.06,0.29,1.06,0.41,0.47,43.9 6,0.12,0.18,0.5,8.85,0.11,0.52,0.01,11.93,2.4,0.14 ,0.06,0.81,0.04,2.21,3.59
Turk_East_Black_sea,0.2,2.1,17.95,0.17,0.51,0.43,0 .37,54.74,0.1,0.07,0.08,8.01,0.19,0.43,0.05,9.36,2 .12,0.19,0.15,0.14,0.09,0.45,2.03
Turk_Northwest,0.15,2.89,12.81,1.39,1.07,0.42,0.83 ,36.47,0,0.44,3.02,11.1,0.01,0.44,0.2,8.52,1.9,0.1 8,0.18,2.12,0,4.69,11.15
Turk_South,0.28,3.29,13.97,0.39,1.72,0.44,0.39,36. 51,0.09,0.61,3.03,10.33,0.1,0.2,0.2,10.06,3.33,0.7 3,0.12,1.79,0.24,5.25,6.91
Turk_West,0.49,3.2,13.09,0.54,1.36,0.13,0.72,35.67 ,0.06,0.34,2.85,12.17,0.03,0.49,0.06,8.76,2.97,0.7 9,0.2,1.48,0.16,5.58,8.85
Turkey_Azeri,0.75,2.43,20.55,0.79,3.64,0,0.53,39.2 3,0.02,0.08,1.39,8.3,0.27,0.03,0.09,10.75,1.99,0.4 1,0.18,1.13,0,2.36,5.06
Kurd_Kurmanji_Turkey,0.54,3.05,23.29,0.18,2.22,0.1 4,0.23,39.3,0.11,0.54,0.64,7.04,0.18,0.22,0.19,11. 72,2.92,0.58,0.05,0.89,0.15,1.01,4.78
Laz_Artvin,0.29,3.3,19.79,0.13,0.09,0.52,0.69,55.4 1,0.2,0.09,0,7.05,0.43,0.26,0,7.57,1.51,0.16,0.27, 0.19,0.13,0.44,1.47
Laz_Rize,0.13,1.63,17.73,0.2,0.09,0.36,0.45,59.81, 0.05,0.07,0.06,6.06,0.2,0.68,0.03,7.4,1.75,0.38,0. 12,0.16,0.24,0.19,2.22
Greek_Trabzon,0,1.18,15.84,0.47,0.22,0.66,0.07,52. 19,0.06,0.06,0,10.3,0,0,0,11.55,3.11,0.22,0.03,0.2 3,0,0.07,3.23
Hemshin_Rize,0.14,1.93,18.29,0.29,0.42,0.45,0.1,50 .99,0.05,0,0.25,9.87,0.21,0.42,0.21,11.18,2.26,0.1 8,0.03,0.1,0.09,0.91,1.61
Zaza,0.25,2.56,24.63,0.56,2.23,0.23,0.51,40.63,0.1 ,0.16,0.43,7.34,0.03,0.11,0.1,12.37,2.67,0.3,0.15, 0,0.08,0.9,0.04
Armenian_West,0.18,1.44,18.08,0.12,0.84,0.25,0.22, 46.63,0.14,0.17,0.02,10.88,0.07,0.2,0.02,15.08,3.7 ,0.17,0.14,0.05,0.02,0.21,1.33
Turks_Anatolia,0.41,2.95,14.43,0.72,1.25,0.37,0.55 ,37.96,0.08,0.39,2.58,10.89,0.1,0.35,0.11,10.06,2. 75,0.51,0.13,1.56,0.08,4.57,7.21
Cappadocian_Greek,0.1,0.8,12.48,0.2,0.24,0.19,0,45 .99,0.09,0,0.73,16.29,0,0.06,0,13.21,3.84,0.18,0.0 6,0.34,0.05,0.09,9.68

Ok time to make updated K23b. If other want please post custom references.

http://vahaduo.genetics.ovh/mdlp_k23b-updated-vahaduo.htm

[MandM]

Distance to: Milenko
3.77302266 Montenegrian
4.26495018 Macedonian
4.44923589 Bulgarian
5.06937866 Serb_Serbia

[Amon]

....


Please share Laz_Artvin's k12b average.

[Leto]

Swedish for Dodecad K12b (n = 20). Lucas, please delete the ones I listed and add the one from my last PM.


Swedish,7.80,0.74,0.05,0.09,34.23,51.06,0.25,0,0.5 3,0.04,5.19,0

If you are tired of me, I can tell you the end is near for Dodecad:) At least for major updates.

This is what this average is modeled as


Target: Swedish
Distance: 0.9103% / 0.91030718 | ADC: 0.25x
76.2 Icelandic
16.8 PL_Warmia-Masuria
7.0 Finnish_West

[harutsafaryan07]

@Amon Laz_Artvin,17.35,0.05,0.19,0.24,9.40,4.96,0.13,0,9 .95,0.08,57.61,0

[Kyp]

MDLP k23b

n=17

Azeri_Iran,0.32,3.62,23.03,0.47,1.99,0.37,0.53,39. 52,0.09,0.47,1.03,6.19,0.12,0.23,0.17,9.95,2.31,0. 55,0.21,1.59,0.23,2.53,3.79

Testrun:

Target: Azeri_Iran
Distance: 0.5564% / 0.55644516 | ADC: 0.25x
75.0 Azeri
14.2 Turkey_Azeri
4.2 Kurd_Kurmanji_Turkey
3.0 Stalskoe_Kumyk
2.4 Nogai
1.0 Turk_South
0.2 Tibetian_Madou



Iran_Mazandarani,0.47,3.59,32.74,0.38,6.22,0.18,0. 24,38.34,0.20,0.30,0.27,1.82,0.10,0.21,0.21,10.05, 1.12,0.13,0.29,0.24,0.28,0.36,2.13

Target: Iran_Mazendarani
Distance: 2.9802% / 2.98020115 | ADC: 0.25x
54.8 Baku_WGA
13.8 Kurd
13.6 Balochi
11.2 Parsi
6.6 Georgian_Imereti

[Leto]

New Chechen average for Dodecad K12b (n=31 instead of just 5 yet the result is still similar)


Сhechen,22.47,2.64,0.04,0.48,4.99,21.28,0.58,0,3.4 6,1.02,42.96,0.06

[Kyp]

MDLP k23b

Iranian_Fars,0.54,3.74,26.60,0.36,6.40,0.31,0.47,3 4.97,0.08,0.55,0.36,4.64,0.17,0.37,0.41,12.40,2.72 ,0.27,0.21,0.42,0.55,0.71,2.77

[Lucas]

Swedish for Dodecad K12b (n = 20). Lucas, please delete the ones I listed and add the one from my last PM.


Swedish,7.80,0.74,0.05,0.09,34.23,51.06,0.25,0,0.5 3,0.04,5.19,0

If you are tired of me, I can tell you the end is near for Dodecad:) At least for major updates.

This is what this average is modeled as


Target: Swedish
Distance: 0.9103% / 0.91030718 | ADC: 0.25x
76.2 Icelandic
16.8 PL_Warmia-Masuria
7.0 Finnish_West



All your updates are added. Just make Control + F5.

[Lucas]

MDLP k23b

Iranian_Fars,0.54,3.74,26.60,0.36,6.40,0.31,0.47,3 4.97,0.08,0.55,0.36,4.64,0.17,0.37,0.41,12.40,2.72 ,0.27,0.21,0.42,0.55,0.71,2.77

Thank, your updates are added.

[Leto]

All your updates are added. Just make Control + F5.
Thank you. Now I can see it (actually I did Control+F5 a couple of days ago).

[Not a Cop]

Thank you. Now I can see it (actually I did Control+F5 a couple of days ago).

What are yours results in k23b and k12b?

Mine:

Target: ya
Distance: 1.5130% / 1.51301431 | ADC: 0.25x
36.6 Russian-West
31.4 Mordovian
16.8 Belarusian-East
13.0 Ukrainian_East
1.8 Dargin_Urkarah
0.4 Bougainville

Target: ya
Distance: 0.7053% / 0.70530591
40.8 Latvian
20.0 Pole
14.0 Kashub
7.6 Georgian_Tbilisi
6.0 Balt
4.8 Udmurd
1.8 Belarusian_West
1.8 Frisian
1.4 Khant
0.8 Bougainville
0.6 Tubalar
0.2 MbutiPygmy
0.2 Roma

K12b

Target: ya
Distance: 1.2439% / 1.24392747 | ADC: 0.25x
49.6 Southwest_Rus
19.2 Rus_Kostroma
16.4 Lithuanian
12.4 Mordovian
1.4 Lak
1.0 Tajiks

Target: ya
Distance: 0.2685% / 0.26845745
45.8 Lithuanian
17.4 Rus_Smolensk
7.4 Veps
6.6 Sorb_Lusatia
5.6 Finnish_West
5.6 Latvian
5.4 Lak
2.4 Karelian
1.6 Nogai
0.8 Rus_Tver
0.6 Korean
0.4 Georgian_Svan
0.2 ASW30
0.2 Dargin

[Lucas]

Mine K23b

Target: luk
Distance: 1.9623% / 1.96227264 | ADC: 0.25x
46.2 Kashub
24.8 Ukrainian_Center
17.0 Russian-West
9.8 Russian-Upper-Volga
2.0 BedouinB
0.2 Udmurd


Distance to: luk
4.15535799 Ukrainian_Center
4.21671673 Sorb
4.32659219 Kashub
4.32787477 Belarusian-East
4.42394620 Russian-West
4.46001121 Belarusian_West
4.53002208 Russian_South
4.72365325 Ukrainian_West
4.82050827 Russian_Meshtchyora
4.99286491 Russian_North
5.04081343 Ukrainian_East
5.31801655 Russian-North-West
5.95893447 Ukrainian
6.02950247 Russian-Upper-Volga
6.14880476 Slovak
6.53996177 Don_cossack
7.94615630 German
8.26706115 Erzya
8.60059882 Mordovian
8.93710244 Pole
9.36866586 Moksha
9.52581230 Czech
9.64614949 Finn_West
9.90192910 Balt
10.03876984 Belarusian_South


Dodecad K12b

Distance to: luk
2.24993333 PL_Mazovia
2.39822851 Belorussian
3.03354578 Rus_Smolensk
3.18007862 Ukrainian
3.35998512 Rus_Kostroma
4.73100412 Southwest_Rus
5.49711743 PL_GreaterPoland
5.49819971 Rus_Tver
6.84469137 PL_Warmia-Masuria
7.17349984 Sorb_Lusatia
9.02330316 Slovak
9.95352199 Estonian
10.06729855 Lithuanian
10.86045119 Rus_North_Dvina
11.25156878 Hungarians
12.01986689 Mordovian
13.07484608 Latvian
13.42314792 Veps
14.16838382 Slovenian
14.38106046 Rus_Pinega
14.82656400 Finnish_West
15.11258747 German
15.35256005 Karelian
16.50403284 Croat
16.90540150 Swedish


Target: luk
Distance: 1.1258% / 1.12583282 | ADC: 0.25x
90.4 PL_Mazovia
7.2 Lithuanian
1.2 Saudis
0.8 Yemen_Jews
0.4 Belorussian

Target: luk
Distance: 0.8913% / 0.89129218
47.4 Lithuanian
20.4 PL_Mazovia
16.2 PL_GreaterPoland
9.4 Albanian_North
4.0 Latvian
1.2 Sardinian
1.2 Yemen_Jews
0.2 Pulliyar

[Not a Cop]

Mine K23b


Woah, much slavik!


https://youtu.be/UxF7GLd8QcA

[Leto]

What are yours results in k23b and k12b?

K12b

Target: Leto(Bel-Rus)
Distance: 1.6403% / 1.64032140 | ADC: 0.5x
52.4 Rus_Smolensk
22.4 Southwest_Rus
21.4 Veps
2.6 Mordovian
1.2 Saudis

Target: Leto(Bel-Rus)
Distance: 0.6941% / 0.69413570 | ADC: 0.25x
42.8 Rus_Smolensk
29.0 Southwest_Rus
16.2 Veps
5.8 Mordovian
4.0 Komi
2.2 Saudis


K23b

Target: Leto
Distance: 2.5894% / 2.58944137 | ADC: 0.25x
42.6 Ukrainian_Center
38.4 Russian-Upper-Volga
7.8 Croat
5.0 Tatar_Kryashen
4.4 Udmurd
1.2 Komi
0.4 Eskimo_Naukan
0.2 Aleut

Target: Leto
Distance: 2.0475% / 2.04751683
41.8 Pole
27.2 Ukrainian_Center
9.8 Croat
6.6 Udmurd
4.2 Belarusian_Russian
4.2 Swede
4.0 Khant
1.2 Eskimo_Naukan
0.6 Tubalar
0.4 Sardinian

[Lucas]

K12b

4.2 Belarusian_Russian



I think this reference is useless. It is either mixed samples(s) or Russian(s) from Belarus (which are immigrants).

[Leto]

I think this reference is useless. It is either mixed samples(s) or Russian(s) from Belarus (which are immigrants).
I don't know anything about it because I haven't edited the spreadsheet, it's entirely original. But there have always been self-identified Russians in Belarus, even way before WW2 if you look at the census data.

[vbnetkhio]

Lucas,

could you update these:



Serb_Serbia,24.64,29.34,17.20,9.19,15.53,1.54,0.57 ,0.27,0.75,0.57,0.26,0.09,0.05
Serb_Serbia_South&East,23.71,28.32,16.93,9.49,17.19,1.91,0.55,0.15,0 .75,0.44,0.31,0.12,0.11
Serb_Serbia_West&Central,24.73,29.61,17.39,9.17,15.15,1.41,0.56,0.2 2,0.88,0.60,0.16,0.08,0.03
Serb_Serbia_Vojvodina,25.31,29.44,16.76,8.91,15.20 ,1.63,0.62,0.57,0.24,0.58,0.58,0.08,0.07
Serb_B&H,24.72,30.69,16.83,9.05,14.49,1.59,0.54,0.31,0.80 ,0.46,0.45,0.04,0.04
Serb_B&H_Krajina,23.80,30.63,17.36,9.80,14.63,1.27,0.44,0 .22,0.75,0.36,0.60,0.03,0.08
Serb_B&H_Bosnia_proper,25.87,31.26,16.23,8.33,13.67,1.71, 0.71,0.47,0.91,0.50,0.28,0.05,0.01
Serb_B&H_Herzegovina,23.75,28.55,17.08,8.91,17.24,2.40,0. 25,0.02,0.54,0.73,0.50,0.03,0.00
Serb_Croatia,25.46,29.78,16.70,9.15,15.40,1.39,0.5 3,0.29,0.40,0.40,0.36,0.08,0.04
Serb_Croatia_Lika,25.32,29.46,17.19,8.37,15.65,1.7 2,0.53,0.27,0.53,0.51,0.26,0.13,0.05
Serb_Croatia_Dalmatia,26.32,28.20,16.93,9.45,15.48 ,1.07,0.32,0.31,0.71,0.37,0.57,0.18,0.08
Serb_Croatia_Kordun&Banija,25.25,30.34,16.50,9.29,15.30,1.38,0.60,0.29 ,0.28,0.38,0.32,0.04,0.03
Montenegrin,24.23,25.43,18.36,10.43,17.30,2.29,0.1 9,0.25,0.76,0.39,0.25,0.02,0.08
Serb,24.72,29.47,17.13,9.20,15.42,1.55,0.55,0.27,0 .72,0.53,0.30,0.08,0.05

Bosniak_Bosnia_proper,25.42,35.07,14.63,8.59,12.15 ,1.20,0.89,0.33,0.64,0.52,0.22,0.22,0.10


and add these:



Bosniak_Krajina,25.32,32.39,16.86,9.22,12.33,1.67, 0.57,0.31,0.28,0.60,0.14,0.18,0.14
Vlach(Aromanian)_average,21.26,20.34,19.00,11.77,2 2.61,3.09,0.18,0.47,0.47,0.41,0.38,0.04,0.00
Pomak_average,18.95,24.66,16.75,13.16,20.92,2.53,0 .41,0.84,0.71,0.38,0.35,0.05,0.06
Torbesh_average,21.55,17.67,22.34,10.48,23.69,2.25 ,0.00,0.51,0.48,0.79,0.25,0.00,0.00
Turk_Turkey_average,6.02,5.27,11.79,32.45,28.56,4. 17,3.28,2.55,4.58,0.43,0.44,0.26,0.14
Turk_Balkan_average,18.51,18.70,15.05,15.48,20.71, 2.77,1.31,2.16,3.69,0.70,0.25,0.24,0.28
Armenian,3.13,2.22,12.06,37.82,35.29,5.75,2.77,0.2 4,0.10,0.13,0.35,0.17,0.16


and these by Dunai: (except the Greek Islander)
https://www.theapricity.com/forum/showthread.php?310130-NEW!-All-Gedmatch-calculators-on-Vahaduo-ON-LINE&p=6902690&viewfull=1#post6902690

[Ajeje Brazorf]

Could you add these ancients?

https://www.theapricity.com/forum/showthread.php?333897-Southern-Italians-have-no-ancient-Greek-ancestry&p=6926980&highlight=#post6926980

[vbnetkhio]

Lucas, i hope i'm not asking for too much but i think this would improve the sheet greatly:

could you delete the "North_Macedonian" and Danish , because they are duplicates.

also remove these duplicates:


Tuscan,27.18,10.01,23.79,8.83,24.59,4.29,0.24,0.01 ,0.29,0.00,0.50,0.17,0.09
Tuscany,28.25,11.86,24.70,8.95,21.95,3.29,0.19,0.2 7,0.00,0.15,0.25,0.10,0.01
East_German,37.34,32.19,14.57,6.15,6.42,0.96,1.46, 0.02,0.19,0.38,0.05,0.13,0.14
German_east,36.93,36.50,12.59,5.57,4.79,0.78,0.69, 0.09,0.30,0.78,0.55,0.15,0.20
German_West,45.37,25.20,13.22,7.02,5.78,0.85,0.30, 0.58,0.39,0.37,0.11,0.35,0.14
West_German,43.14,22.44,14.78,6.85,8.54,0.86,0.94, 0.13,0.40,0.60,0.64,0.47,0.22

and replace them with these:


Italy_Tuscan,27.72,10.94,24.25,8.89,23.27,3.79,0.2 2,0.14,0.15,0.08,0.38,0.14,0.05
German_East,37.14,34.35,13.58,5.86,5.61,0.87,1.08, 0.06,0.25,0.58,0.30,0.14,0.17
German_West,44.26,23.82,14.00,6.94,7.16,0.86,0.62, 0.36,0.40,0.49,0.38,0.41,0.18

and if it's not too much work rename these averages:


MMacedonian -> Macedonian
North-Dutch -> Dutch_North
North-Swedish -> Swedish_North
North_German -> German_North
East_Finnish -> Finnish_East
Estonian_Polish -> Polish_Estonia
Kargopol_Russian -> Russian_Kargopol
Masurian -> Polish_Masurian
Abruzzo -> Italy_Abruzzo
AostaValley -> Italy_AostaValley
Apulia -> Italy_Apulia
Basilicata -> Italy_Basilicata
South_Dutch -> Dutch_South
South_Polish -> Polish_South
Southeast_English -> English_Southeast
Southwest_English -> English_Southwest
Southwest_Finnish -> Finnish_Southwest
Southwest_French -> French_Southwest
Southwest_Russian -> Russian_Southwest
RU_Pinega -> Russian_Pinega
West_Scottish -> Scottish_West
Calabria -> Italy_Calabria
Campania -> Italy_Campania
East_Sicilian -> Italy_East_Sicilian
Emilia -> Italy_Emilia
Friuli-VG -> Italy_Friuli-VG
Lazio -> Italy_Lazio
Marche -> Italy_Marche
Lombardy -> Italy_Lombardy
Liguria -> Italy_Liguria
Molise -> Italy_Molise
Piedmont -> Italy_Piedmont
Romagna -> Italy_Romagna
Trentino -> Italy_Trentino
Umbria -> Italy_Umbria
Veneto -> Italy_Veneto
West_Sicilian -> Italy_West_Sicilian

[J. Ketch]

Is the Gedmatch Southeast English average from Kent alone? And Southwest English from Cornwall? Anyone know?

[Aren]

Lucas, i hope i'm not asking for too much but i think this would improve the sheet greatly:

could you delete the "North_Macedonian" average , because it's the same as Macedonian.

also remove these duplicates:


Tuscan,27.18,10.01,23.79,8.83,24.59,4.29,0.24,0.01 ,0.29,0.00,0.50,0.17,0.09
Tuscany,28.25,11.86,24.70,8.95,21.95,3.29,0.19,0.2 7,0.00,0.15,0.25,0.10,0.01
Danish,48.13,28.42,11.20,4.88,3.64,0.68,1.07,0.07, 0.93,0.45,0.25,0.16,0.10
Denmark,50.61,28.70,10.19,5.00,2.12,0.52,0.99,0.19 ,0.42,0.59,0.23,0.12,0.17
East_German,37.34,32.19,14.57,6.15,6.42,0.96,1.46, 0.02,0.19,0.38,0.05,0.13,0.14
German_east,36.93,36.50,12.59,5.57,4.79,0.78,0.69, 0.09,0.30,0.78,0.55,0.15,0.20
German_West,45.37,25.20,13.22,7.02,5.78,0.85,0.30, 0.58,0.39,0.37,0.11,0.35,0.14
West_German,43.14,22.44,14.78,6.85,8.54,0.86,0.94, 0.13,0.40,0.60,0.64,0.47,0.22

and replace them with these:


Italy_Tuscan,27.72,10.94,24.25,8.89,23.27,3.79,0.2 2,0.14,0.15,0.08,0.38,0.14,0.05
Danish,49.37,28.56,10.70,4.94,2.88,0.60,1.03,0.13, 0.68,0.52,0.24,0.14,0.14
German_East,37.14,34.35,13.58,5.86,5.61,0.87,1.08, 0.06,0.25,0.58,0.30,0.14,0.17
German_West,44.26,23.82,14.00,6.94,7.16,0.86,0.62, 0.36,0.40,0.49,0.38,0.41,0.18

and if it's not too much work rename these averages:


MMacedonian -> Macedonian
North-Dutch -> Dutch_North
North-Swedish -> Swedish_North
North_German -> German_North
East_Finnish -> Finnish_East
Estonian_Polish -> Polish_Estonia
Kargopol_Russian -> Russian_Kargopol
Masurian -> Polish_Masurian
Abruzzo -> Italy_Abruzzo
AostaValley -> Italy_AostaValley
Apulia -> Italy_Apulia
Basilicata -> Italy_Basilicata
South_Dutch -> Dutch_South
South_Polish -> Polish_South
Southeast_English -> English_Southeast
Southwest_English -> English_Southwest
Southwest_Finnish -> Finnish_Southwest
Southwest_French -> French_Southwest
Southwest_Russian -> Russian_Southwest
RU_Pinega -> Russian_Pinega
West_Scottish -> Scottish_West
Calabria -> Italy_Calabria
Campania -> Italy_Campania
East_Sicilian -> Italy_East_Sicilian
Emilia -> Italy_Emilia
Friuli-VG -> Italy_Friuli-VG
Lazio -> Italy_Lazio
Marche -> Italy_Marche
Lombardy -> Italy_Lombardy
Liguria -> Italy_Liguria
Molise -> Italy_Molise
Piedmont -> Italy_Piedmont
Romagna -> Italy_Romagna
Trentino -> Italy_Trentino
Umbria -> Italy_Umbria
Veneto -> Italy_Veneto
West_Sicilian -> Italy_West_Sicilian


Uhmm why are you telling him to remove averages not created by you? I created the Denmark average and I don’t want Lucas to remove it.

[vbnetkhio]

Uhmm why are you telling him to remove averages not created by you? I created the Denmark average and I don’t want Lucas to remove it.

sorry, it was there as long as i remember, i thought it was a duplicate from the original sheet or something.
then "Danish" should be removed. i edited my post.

[Leto]

sorry, it was there as long as i remember, i thought it was a duplicate from the original sheet or something.
then "Danish" should be removed. i edited my post.
"Danish" is the better term than "Denmark". This guy is from Denmark for example
https://www2.pictures.zimbio.com/gi/Pione+Sisto+AAvlrQnUG-Rm.jpg
:rolleyes:

[Ion Basescul]

Lucas,

could you update these:


and add these:




Vlach(Aromanian)_average,22.79,20.37,18.82,11.31,2 1.00,3.85,0.00,0.13,0.49,0.51,0.40,0.07,0.00




What is the source for the Aromanian average? There are 3 Vlachs on K13 only and they are more Southern than that.



Vlach_Central-Macedonia,21.16,16.34,21.87,11.20,23.99,4.14,0.06, 0.43,0,0,0.81,0,0
Vlach_North-Macedonia,22.21,19.88,20.33,11.84,19.73,4.68,0,0.6 6,0,0,0.67,0,0
Vlach_North-Macedonia-Highlander,21.34,21.03,18.47,10.96,22.05,4.71,0,0, 0,1.06,0.25,0.12,0


Also, I'm personally making monthly backups of the sheet, so I have all the Serb averages so far. I'm noticing an interesting trend, but I won't mention it for now. Let's just say that I won't be surprised to see the average have 40% Baltic in two years.

[Leto]

Also, I'm personally making monthly backups of the sheet, so I have all the Serb averages so far. I'm noticing an interesting trend, but I won't mention it for now. Let's just say that I won't be surprised to see the average have 40% Baltic in two years.
Serbia is returning to its Slavic roots and removing the Albanian influence :cool:

[vbnetkhio]

What is the source for the Aromanian average? There are 3 Vlachs on K13 only and they are more Southern than that.



Vlach_Central-Macedonia,21.16,16.34,21.87,11.20,23.99,4.14,0.06, 0.43,0,0,0.81,0,0
Vlach_North-Macedonia,22.21,19.88,20.33,11.84,19.73,4.68,0,0.6 6,0,0,0.67,0,0
Vlach_North-Macedonia-Highlander,21.34,21.03,18.47,10.96,22.05,4.71,0,0, 0,1.06,0.25,0.12,0


Also, I'm personally making monthly backups of the sheet, so I have all the Serb averages so far. I'm noticing an interesting trend, but I won't mention it for now. Let's just say that I won't be surprised to see the average have 40% Baltic in two years.

these 3 (they are individual results, not averages) + 2 additional results.

it's not supposed to be a super accurate average.
it should just be there so people can remove the individual results and keep the average when doing nMonte modelling, because these individual averages really get too much into every Balkanian's results.

the same goes for the Pomak, Torbesh and Balkan Turk averages. i think every Serb gets some Pomak Xanthi and Pomak Kavala whn running a full sheet nMonte, that's not very informative.

[Ion Basescul]

these 3 (they are individual results, not averages) + 2 additional results.

it's not supposed to be a super accurate average.
it should just be there so people can remove the individual results and keep the average when doing nMonte modelling, because these individual averages really get too much into every Balkanian's results.

the same goes for the Pomak, Torbesh and Balkan Turk averages. i think every Serb gets some Pomak Xanthi and Pomak Kavala whn running a full sheet nMonte, that's not very informative.

So, can you share the individual results that made your Vlach(Aromanian)_average? It can't be the average of these 3.

[vbnetkhio]

So, can you share the individual results that made your Vlach(Aromanian)_average? It can't be the average of these 3.

yes, as i said i used these 3, and 2 additional samples.

here:
gr_mac_vlach25.9523.5616.119.7219.353.09001.20.270 .530.210
vlach bulgaria23.2821.0317.3212.8419.862.640.0101.261.24 0.5400
Vlach_North-Macedonia-Highlander21.3421.0318.4710.9622.054.710001.060.25 0.120
vlach bitola22.2119.8820.3311.8419.734.6800.66000.6700
Vlach_Central-Macedonia21.1616.3421.8711.223.994.140.060.43000.8 100
vlach_avg22.7920.3718.8211.3121.003.850.010.220.49 0.510.560.070.00

[Ion Basescul]

yes, as i said i used these 3, and 2 additional samples.

here:

<tbody>
gr_mac_vlach
25.95
23.56
16.11
9.72
19.35
3.09
0
0
1.2
0.27
0.53
0.21
0


vlach bulgaria
23.28
21.03
17.32
12.84
19.86
2.64
0.01
0
1.26
1.24
0.54
0
0


Vlach_North-Macedonia-Highlander
21.34
21.03
18.47
10.96
22.05
4.71
0
0
0
1.06
0.25
0.12
0


vlach bitola
22.21
19.88
20.33
11.84
19.73
4.68
0
0.66
0
0
0.67
0
0


Vlach_Central-Macedonia
21.16
16.34
21.87
11.2
23.99
4.14
0.06
0.43
0
0
0.81
0
0


vlach_avg
22.79
20.37
18.82
11.31
21.00
3.85
0.01
0.22
0.49
0.51
0.56
0.07
0.00

</tbody>



These two are obvious outliers, but I trust all of their 4 grandparents are confirmed as pure Vlachs.


<tbody>
gr_mac_vlach
25.95
23.56
16.11
9.72
19.35
3.09
0
0
1.2
0.27
0.53
0.21
0

</tbody>


<tbody>
Vlach_Central-Macedonia
21.16
16.34
21.87
11.2
23.99
4.14
0.06
0.43
0
0
0.81
0
0

</tbody>

[vbnetkhio]

These two are obvious outliers, but I trust all of their 4 grandparents are confirmed as pure Vlachs.


<tbody>
gr_mac_vlach
25.95
23.56
16.11
9.72
19.35
3.09
0
0
1.2
0.27
0.53
0.21
0

</tbody>


<tbody>
Vlach_Central-Macedonia
21.16
16.34
21.87
11.2
23.99
4.14
0.06
0.43
0
0
0.81
0
0

</tbody>

we really can't know who's typical and who's an outlier with only 5 samples. the first one is the father of Apricity member paradox, the other one is from Kaspias. so it's safe to include them.

[Ion Basescul]

we really can't know who's typical and who's an outlier with only 5 samples. the first one is the father of Apricity member paradox, the other one is from Kaspias. so it's safe to include them.

If you say so. You can add 3 confirmed Aromanians from my project.

Romania_Muntenia_Mixed_24_,19.98,21.95,20.79,12.18 ,22.60,1.05,0.18,0.34,0.91,0,0,0,0
Romania_Muntenia_Mixed_25_,17.79,20.84,18.59,11.70 ,27.51,1.38,1.01,0.15,0.35,0.67,0,0,0
Romania_Muntenia_Mixed_26_,18.34,18.11,18.52,13.72 ,25.80,2.99,0.15,2.14,0,0,0.24,0,0

[vbnetkhio]

If you say so. You can add 3 confirmed Aromanians from my project.

Romania_Muntenia_Mixed_24_,19.98,21.95,20.79,12.18 ,22.60,1.05,0.18,0.34,0.91,0,0,0,0
Romania_Muntenia_Mixed_25_,17.79,20.84,18.59,11.70 ,27.51,1.38,1.01,0.15,0.35,0.67,0,0,0
Romania_Muntenia_Mixed_26_,18.34,18.11,18.52,13.72 ,25.80,2.99,0.15,2.14,0,0,0.24,0,0

added, and edited my original post.

vlach_avg,21.26,20.34,19.00,11.77,22.61,3.09,0.18, 0.47,0.47,0.41,0.38,0.04,0.00

[Leto]

Is Yemen_Jews from Dodecad K12b even remotely accurate? It looks fishy to me to say the least

Yemen_Jews,0.20,0.00,3.10,0.00,4.20,0.00,0.00,4.70 ,53.85,0.00,33.93,0.00

No Gedrosia and ca. 54% SW Asian.

If anyone knows the deal please let me know.

[vbnetkhio]

Also, I'm personally making monthly backups of the sheet, so I have all the Serb averages so far. I'm noticing an interesting trend, but I won't mention it for now. Let's just say that I won't be surprised to see the average have 40% Baltic in two years.

why don't you email some Serbs on gedmatch? you are good at getting this information out of people.
and we are neighbours, so it's a part of your interest. (like you did the average for Ivano-Frankivsk and the Bulgarian regions)

i'll add anything you find to the averages.

[Ion Basescul]

why don't you email some Serbs on gedmatch? you are good at getting this information out of people.
and we are neighbours, so it's a part of your interest. (like you did the average for Ivano-Frankivsk and the Bulgarian regions)

i'll add anything you find to the averages.

Maybe after some time I'll get to them. I had those guys from Lika, I don't remember if they were Serbs or Croats, but you guys already had them too.

[vbnetkhio]

Maybe after some time I'll get to them. I had those guys from Lika, I don't remember if they were Serbs or Croats, but you guys already had them too.

it's these results, they are Serbs:
https://www.theapricity.com/forum/showthread.php?313828-Serbian-Autosomal-DNA&p=6693461&viewfull=1#post6693461

[Lucas]

Lucas,

could you update these:





done

[J. Ketch]

Updated British/Irish averages and a few new ones, add these when you like Lucas, appreciate it.

K13


English_Midlands,49.94,23.36,13.65,5.61,3.81,0.77, 1.01,0.20,0.27,0.46,0.41,0.28,0.17
English_North,50.37,23.94,13.07,5.83,3.12,0.69,1.0 9,0.10,0.30,0.62,0.40,0.19,0.21
English_Southeast,49.11,23.07,14.04,6.08,4.08,0.69 ,1.01,0.19,0.24,0.54,0.44,0.25,0.20
Irish_Munster,52.79,22.99,12.28,6.81,1.66,0.25,1.3 2,0.22,0.29,0.79,0.21,0.15,0.17
Ulster_British,50.47,23.5,13.69,7.34,1.52,0.67,1.2 7,0.08,0.15,0.65,0.36,0.15,0.08

References

English_North - 70
English_Midlands - 51
English_Southeast - 33
Irish_Munster - 32
Ulster_British - 15


K15


English_Midlands,36.56,27.75,9.98,8.81,9.52,3.73,1 .34,0.59,0.69,0.07,0.08,0.25,0.23,0.22,0.12
English_North,36.81,28.08,10.29,8.94,8.94,3.75,0.9 4,0.41,0.71,0.04,0.11,0.35,0.24,0.17,0.14
English_Southeast,35.47,27.58,9.91,8.95,9.99,4.26, 1.66,0.45,0.61,0.09,0.09,0.28,0.29,0.16,0.12
Irish_Connacht,37.60,30.64,8.87,9.77,7.06,3.39,0.0 4,0.13,1.06,0.07,0.14,0.80,0.14,0.12,0.08
Irish_Munster,37.26,29.95,9.78,8.54,7.60,4.49,0.21 ,0.14,0.89,0.07,0.15,0.49,0.14,0.07,0.12
Ulster_British,37.90,27.66,8.80,9.84,8.81,4.78,0.2 9,0.38,0.83,0.05,0.05,0.31,0.15,0.03,0.06

References

English_North - 71
English_Midlands - 52
English_Southeast - 33
Irish_Munster - 39
Irish_Connacht - 14
Ulster_British - 15

Dodecad K12b


English_mixed,8.95,0.25,0.35,0.02,38.64,43.42,0.21 ,0.07,0.83,0.03,7.11,0.04
English_North,8.94,0.24,0.23,0.04,38.14,44.60,0.30 ,0.02,0.69,0.12,6.60,0.03
English_South,9.02,0.32,0.49,0.09,38.22,43.01,0.21 ,0.08,0.93,0.06,7.50,0.00
Irish,10.61,0.23,0.04,0.08,39.18,44.62,0.14,0.01,0 .23,0.03,4.74,0.02

References

English_mixed - 60
English_North - 22
English_South - 24
Irish - 23

[Leto]

Thanks for the Dodecad averages, Creoda!

[Leto]

Yazidi for Dodecad

Used those + 3 results I already had:


Yazidi,26.02,0.82,1.41,0.57,8.32,6.31,2.78,0.76,13 .85,0.56,38.55,0.06

[Lucas]

Updated British/Irish averages and a few new ones, add these when you like Lucas, appreciate it.

K13


English_Midlands,49.94,23.36,13.65,5.61,3.81,0.77, 1.01,0.20,0.27,0.46,0.41,0.28,0.17
English_North,50.37,23.94,13.07,5.83,3.12,0.69,1.0 9,0.10,0.30,0.62,0.40,0.19,0.21
English_Southeast,49.11,23.07,14.04,6.08,4.08,0.69 ,1.01,0.19,0.24,0.54,0.44,0.25,0.20
Irish_Munster,52.79,22.99,12.28,6.81,1.66,0.25,1.3 2,0.22,0.29,0.79,0.21,0.15,0.17
Ulster_British,50.47,23.5,13.69,7.34,1.52,0.67,1.2 7,0.08,0.15,0.65,0.36,0.15,0.08

References

English_North - 70
English_Midlands - 51
English_Southeast - 33
Irish_Munster - 32
Ulster_British - 15


K15


English_Midlands,36.56,27.75,9.98,8.81,9.52,3.73,1 .34,0.59,0.69,0.07,0.08,0.25,0.23,0.22,0.12
English_North,36.81,28.08,10.29,8.94,8.94,3.75,0.9 4,0.41,0.71,0.04,0.11,0.35,0.24,0.17,0.14
English_Southeast,35.47,27.58,9.91,8.95,9.99,4.26, 1.66,0.45,0.61,0.09,0.09,0.28,0.29,0.16,0.12
Irish_Connacht,37.60,30.64,8.87,9.77,7.06,3.39,0.0 4,0.13,1.06,0.07,0.14,0.80,0.14,0.12,0.08
Irish_Munster,37.26,29.95,9.78,8.54,7.60,4.49,0.21 ,0.14,0.89,0.07,0.15,0.49,0.14,0.07,0.12
Ulster_British,37.90,27.66,8.80,9.84,8.81,4.78,0.2 9,0.38,0.83,0.05,0.05,0.31,0.15,0.03,0.06

References

English_North - 71
English_Midlands - 52
English_Southeast - 33
Irish_Munster - 39
Irish_Connacht - 14
Ulster_British - 15

Dodecad K12b


English_mixed,8.95,0.25,0.35,0.02,38.64,43.42,0.21 ,0.07,0.83,0.03,7.11,0.04
English_North,8.94,0.24,0.23,0.04,38.14,44.60,0.30 ,0.02,0.69,0.12,6.60,0.03
English_South,9.02,0.32,0.49,0.09,38.22,43.01,0.21 ,0.08,0.93,0.06,7.50,0.00
Irish,10.61,0.23,0.04,0.08,39.18,44.62,0.14,0.01,0 .23,0.03,4.74,0.02

References

English_mixed - 60
English_North - 22
English_South - 24
Irish - 23

Thanks, added.

[Dušan]

Lucas,

could you update these:



Serb_Serbia,24.64,29.34,17.20,9.19,15.53,1.54,0.57 ,0.27,0.75,0.57,0.26,0.09,0.05
Serb_Serbia_South&East,23.71,28.32,16.93,9.49,17.19,1.91,0.55,0.15,0 .75,0.44,0.31,0.12,0.11
Serb_Serbia_West&Central,24.73,29.61,17.39,9.17,15.15,1.41,0.56,0.2 2,0.88,0.60,0.16,0.08,0.03
Serb_Serbia_Vojvodina,25.31,29.44,16.76,8.91,15.20 ,1.63,0.62,0.57,0.24,0.58,0.58,0.08,0.07
Serb_B&H,24.72,30.69,16.83,9.05,14.49,1.59,0.54,0.31,0.80 ,0.46,0.45,0.04,0.04
Serb_B&H_Krajina,23.80,30.63,17.36,9.80,14.63,1.27,0.44,0 .22,0.75,0.36,0.60,0.03,0.08
Serb_B&H_Bosnia_proper,25.87,31.26,16.23,8.33,13.67,1.71, 0.71,0.47,0.91,0.50,0.28,0.05,0.01
Serb_B&H_Herzegovina,23.75,28.55,17.08,8.91,17.24,2.40,0. 25,0.02,0.54,0.73,0.50,0.03,0.00
Serb_Croatia,25.46,29.78,16.70,9.15,15.40,1.39,0.5 3,0.29,0.40,0.40,0.36,0.08,0.04
Serb_Croatia_Lika,25.32,29.46,17.19,8.37,15.65,1.7 2,0.53,0.27,0.53,0.51,0.26,0.13,0.05
Serb_Croatia_Dalmatia,26.32,28.20,16.93,9.45,15.48 ,1.07,0.32,0.31,0.71,0.37,0.57,0.18,0.08
Serb_Croatia_Kordun&Banija,25.25,30.34,16.50,9.29,15.30,1.38,0.60,0.29 ,0.28,0.38,0.32,0.04,0.03
Montenegrin,24.23,25.43,18.36,10.43,17.30,2.29,0.1 9,0.25,0.76,0.39,0.25,0.02,0.08
Serb,24.72,29.47,17.13,9.20,15.42,1.55,0.55,0.27,0 .72,0.53,0.30,0.08,0.05

Bosniak_Bosnia_proper,25.42,35.07,14.63,8.59,12.15 ,1.20,0.89,0.33,0.64,0.52,0.22,0.22,0.10


and add these:



Bosniak_Krajina,25.32,32.39,16.86,9.22,12.33,1.67, 0.57,0.31,0.28,0.60,0.14,0.18,0.14
Vlach(Aromanian)_average,21.26,20.34,19.00,11.77,2 2.61,3.09,0.18,0.47,0.47,0.41,0.38,0.04,0.00
Pomak_average,18.95,24.66,16.75,13.16,20.92,2.53,0 .41,0.84,0.71,0.38,0.35,0.05,0.06
Torbesh_average,21.55,17.67,22.34,10.48,23.69,2.25 ,0.00,0.51,0.48,0.79,0.25,0.00,0.00
Turk_Turkey_average,6.02,5.27,11.79,32.45,28.56,4. 17,3.28,2.55,4.58,0.43,0.44,0.26,0.14
Turk_Balkan_average,18.51,18.70,15.05,15.48,20.71, 2.77,1.31,2.16,3.69,0.70,0.25,0.24,0.28
Armenian,3.13,2.22,12.06,37.82,35.29,5.75,2.77,0.2 4,0.10,0.13,0.35,0.17,0.16


and these by Dunai: (except the Greek Islander)
https://www.theapricity.com/forum/showthread.php?310130-NEW!-All-Gedmatch-calculators-on-Vahaduo-ON-LINE&p=6902690&viewfull=1#post6902690

Target: Dušan
Distance: 2.3739% / 2.37391113 | ADC: 0.25x
71.0 Serb_B&H_Krajina
13.2 Erzya
11.2 Ukrainian_Ivano_Frankivsk
4.6 Sardinian

Target: Dušan
Distance: 3.5657% / 3.56570812 | ADC: 0.5x
64.0 Serb_B&H_Krajina
19.2 Bosniak_Krajina
15.2 Ukrainian_Ivano_Frankivsk
1.6 Erzya

[vbnetkhio]

Target: Dušan
Distance: 2.3739% / 2.37391113 | ADC: 0.25x
71.0 Serb_B&H_Krajina
13.2 Erzya
11.2 Ukrainian_Ivano_Frankivsk
4.6 Sardinian

Target: Dušan
Distance: 3.5657% / 3.56570812 | ADC: 0.5x
64.0 Serb_B&H_Krajina
19.2 Bosniak_Krajina
15.2 Ukrainian_Ivano_Frankivsk
1.6 Erzya

mine, grouped:

Distance: 0.6427% / 0.64269258

37.6 East Europe
29.2 Latvian
7.4 Cossacks_Kuban
1.0 RU_Pinega

45.6 Southern Balkans
29.0 Greek_Northern-Thrace
10.8 Macedonian_Central
5.8 Pomak_Xanthi

16.2 Sardinian

0.6 Papuan

[Dušan]

mine, grouped:

Distance: 0.6427% / 0.64269258

37.6 East Europe
29.2 Latvian
7.4 Cossacks_Kuban
1.0 RU_Pinega

45.6 Southern Balkans
29.0 Greek_Northern-Thrace
10.8 Macedonian_Central
5.8 Pomak_Xanthi

16.2 Sardinian

0.6 Papuan
Nice. :)




Target: Dušan
Distance: 0.5642% / 0.56419673

Eastern Europe 47.2%
26.2 Latvian
10.2 Erzya
5.2 Russian_Smolensk
4.4 Belorussian
1.2 South_Polish

Southern Europe 49%
18.8 Greek_Northern-Thrace
15.6 Sardinian
14.6 Macedonian_Central

Caucasus 3.4%
3.4 Georgian_imereti

0.4 Papuan

[Ajeje Brazorf]

Add these (Eurogenes K13):


Mexican_castizo,24.70,7.00,19.22,2.45,11.61,3.21,0 .61,0.85,1.35,24.89,0.39,1.24,2.47


Italian_Insubria,32.58,12.51,24.96,7.90,18.79,2.07 ,0.05,0.27,0.12,0.14,0.21,0.22,0.12
Italian_Orobia,33.02,11.21,25.86,6.82,19.58,2.31,0 .24,0.13,0.25,0.21,0.05,0.23,0.03
Italian_Piemonte,33.26,14.77,23.79,7.12,16.98,2.77 ,0.06,0.11,0.13,0.26,0.34,0.02,0.31
Italian_Liguria,29.43,11.79,24.75,7.63,21.70,3.17, 0.38,0.36,0.10,0.27,0.20,0.02,0.03
Italian_Emilia_ovest,30.28,10.80,24.92,8.49,21.36, 2.54,0.31,0.45,0.00,0.32,0.40,0.03,0.04
Italian_Emilia_est,28.39,11.31,23.83,8.27,22.84,4. 00,0.19,0.30,0.09,0.21,0.32,0.14,0.03
Italian_Romagna,25.99,10.85,24.00,9.59,24.06,4.47, 0.20,0.48,0.04,0.42,0.22,0.13,0.12
Italian_Trentino,32.88,16.94,23.55,6.25,17.40,2.00 ,0.00,0.15,0.25,0.26,0.28,0.00,0.00
Italian_Veneto,32.57,14.31,23.16,6.88,19.24,2.18,0 .33,0.45,0.34,0.30,0.21,0.06,0.01
Italian_Friuli,30.46,18.15,21.29,8.21,17.55,2.44,0 .47,0.25,0.05,0.73,0.20,0.16,0.00
Italian_Toscana,28.65,11.28,23.92,10.10,21.07,3.73 ,0.34,0.16,0.12,0.09,0.22,0.08,0.17
Italian_Corsica,27.44,8.9,28.44,6.03,25.14,2.70,0. 14,0.27,0.21,0.03,0.42,0.14,0.09
Italian_Marche,23.65,8.87,22.77,11.85,26.31,4.97,0 .23,0.12,0.15,0.39,0.29,0.21,0.11
Italian_Lazio,23.63,9.05,23.37,11.91,26.54,3.91,0. 35,0.27,0.14,0.17,0.34,0.18,0.07
Italian_Abruzzo,21.05,8.67,21.90,13.15,29.26,4.55, 0.12,0.20,0.21,0.18,0.40,0.18,0.05
Italian_Sannio,18.49,7.95,23.25,13.57,29.86,4.99,0 .39,0.03,0.22,0.55,0.15,0.33,0.16
Italian_Campania,17.94,6.62,22.02,15.22,31.31,4.95 ,0.35,0.35,0.15,0.2,0.28,0.48,0.08
Italian_Puglia,18.81,9.37,21.86,14.54,28.77,4.95,0 .28,0.05,0.17,0.26,0.44,0.35,0.09
Italian_Lucania,20.54,8.01,20.72,14.50,28.73,5.50, 0.37,0.08,0.09,0.03,0.46,0.59,0.33
Italian_Calabria_citra,16.45,6.16,22.01,14.95,32.5 9,5.52,0.52,0.23,0.04,0.18,0.6,0.41,0.28
Italian_Salento,19.24,6.97,22.95,14.88,30.37,4.23, 0.00,0.27,0.03,0.52,0.29,0.16,0.06
Italian_Calabria_ultra,16.11,5.87,21.72,14.90,32.6 5,6.51,0.24,0.34,0.00,0.04,0.17,1.16,0.21
Italian_Sicilia_est,16.60,6.91,21.93,15.54,31.61,4 .33,0.00,0.21,0.15,0.25,0.54,1.40,0.47
Italian_Sicilia_ovest,19.62,6.77,22.25,12.76,29.69 ,5.59,0.56,0.20,0.30,0.09,0.35,0.86,0.9
Malta,16.04,7.03,22.81,11.65,32.82,5.08,0.32,0.83, 0.00,0.14,0.30,1.82,1.11
Sardegna,23.24,2.01,48.16,0.18,22.54,2.94,0.00,0.2 2,0.00,0.01,0.23,0.27,0.19

[vbnetkhio]

Add these (Eurogenes K13):



could you add "Italy_" or "Italian_" to the Italian region names?

[Ion Basescul]

Add these (Eurogenes K13):


Mexican,24.70,7.00,19.22,2.45,11.61,3.21,0.61,0.85 ,1.35,24.89,0.39,1.24,2.47


A Mexican or any other new world average is completely useless. The intra-population variety is way too high to be represented accurately through a single average.

[Leto]

Italy is already well represented.

[Leto]

A Mexican or any other new world average is completely useless. The intra-population variety is way too high to be represented accurately through a single average.
And there is no way Mexico is only 25% Amerindian on average. All studies I've seen put them at 50% or in the ballpark.

[Jana]

Updated Croatian avarages, big thanks to Vbnethkio!

Croat,28.38,33.10,14.93,7.86,11.77,1.46,0.53,0.28, 0.53,0.51,0.44,0.09,0.13

Croat_B&H,26.18,32.41,15.54,8.25,13.68,1.53,0.63,0.28,0.52 ,0.45,0.34,0.06,0.07
Croat_B&H_Bosnia_proper,27.02,32.41,15.62,7.07,14.02,1.33, 0.73,0.30,0.64,0.33,0.36,0.06,0.10
Croat_B&H_Herzegovina,24.87,32.61,15.96,8.69,14.17,1.24,0. 56,0.20,0.53,0.50,0.43,0.02,0.11
Croat_B&H_West_Bosnia,26.32,32.00,15.40,9.43,12.98,1.82,0. 44,0.33,0.43,0.47,0.25,0.09,0.05

Croat_Croatia,28.78,33.22,14.82,7.79,11.42,1.44,0. 52,0.28,0.53,0.53,0.45,0.10,0.14
Croat_Croatia_Central,30.49,34.62,15.11,6.53,9.76, 1.09,0.73,0.16,0.49,0.32,0.49,0.03,0.16
Croat_Croatia_Dalmatia,26.46,31.46,15.95,8.53,13.6 7,1.51,0.48,0.17,0.61,0.49,0.34,0.18,0.12
Croat_Croatia_Gorski_Kotar,31.53,32.48,14.46,7.52, 10.28,1.15,0.62,0.29,0.53,0.55,0.31,0.14,0.12
Croat_Croatia_Lika-Senj,26.92,32.68,15.74,7.65,13.07,1.54,0.31,0.25,0 .54,0.54,0.52,0.14,0.09
Croat_Croatia_Slavonia,27.42,34.37,13.89,8.65,11.7 9,1.56,0.03,0.14,1.16,0.62,0.35,0.02,0.01
Croat_Croatia_Zagorje,30.95,34.84,13.38,7.59,8.70, 1.47,0.65,0.52,0.47,0.89,0.24,0.15,0.16
Croat_Croatia_Istria_&_Kvarner,26.95,32.22,15.54,7.05,14.89,1.48,0.15,0. 36,0.47,0.29,0.46,0.13,0.02

[Ajeje Brazorf]

could you add "Italy_" or "Italian_" to the Italian region names?

Done.

[Tacitus]

@Lucas,

Please add this new Sicilian average for K13 (I averaged out the Sicily and Sicilian samples) and delete the East and West Sicilian references.

Sicily,18.24,7.44,21.81,13.91,29.59,5.61,0.59,0.33 ,0.21,0.14,0.42,0.95,0.77

I did the same thing for the two Sardinian references as well in K13:

Sardinia,23.14,1.64,49.58,0.38,22.02,2.41,0,0.13,0 .03,0,0.31,0.26,0.1

[Dunai]

Since I see many new updates, I checked again my score, and even if I'm just a little bit Danube Swabian I still am quite German shifted for a Hungarian, which still surprises me, while I also have a slight Central and East Asian ancestry (really curious if 23andMe update will pick this up):

Target: Dunai
Distance: 0.9978% / 0.99780033 | ADC: 0.25x
53.6 Hungarian_Transdanubia
30.6 Austrian
8.2 German
4.2 North-Swedish
2.2 Kirgiz
0.6 Karakalpak
0.6 Oroqen

Target: Dunai
Distance: 1.9049% / 1.90485820 | ADC: 0.5x
50.2 Austrian
47.6 Hungarian_Transdanubia
1.6 Altaian
0.6 Shors

Distance to: Dunai
4.00233682 Hungarian_Transdanubia
4.48241007 Austrian
4.51412228 Hungarian_Budapest
4.91683842 Croat_Croatia_Gorski_Kotar
5.31408506 Hungarian
6.12456529 Slovenian
6.44858124 Croat_Croatia_Zagorje
6.67996257 Hungarian_Alfold
6.73732885 Hungarian_Northern
6.92678858 German_East
6.95415703 Croat_Croatia_Central
7.08832843 Hungarian_Transylvania
7.57254911 Croat_Croatia
7.70314871 Hungarian_Eastern
7.87518254 Hungarian_Szekely
7.93761929 Czech
7.97294174 Croat
8.42686775 Hungarian_Csango
8.42805413 Slovak
9.09363514 Croat_Croatia_Slavonia
9.43855921 German
9.67586689 Croat_Croatia_Lika-Senj
9.88427033 Croat_B&H_Bosnia_proper
9.90309043 Moldova_North
10.13691275 Croat_B&H_West_Bosnia

[Lucas]

Updated Croatian avarages, big thanks to Vbnethkio!

Croat,28.38,33.10,14.93,7.86,11.77,1.46,0.53,0.28, 0.53,0.51,0.44,0.09,0.13

Croat_B&H,26.18,32.41,15.54,8.25,13.68,1.53,0.63,0.28,0.52 ,0.45,0.34,0.06,0.07
Croat_B&H_Bosnia_proper,27.02,32.41,15.62,7.07,14.02,1.33, 0.73,0.30,0.64,0.33,0.36,0.06,0.10
Croat_B&H_Herzegovina,24.87,32.61,15.96,8.69,14.17,1.24,0. 56,0.20,0.53,0.50,0.43,0.02,0.11
Croat_B&H_West_Bosnia,26.32,32.00,15.40,9.43,12.98,1.82,0. 44,0.33,0.43,0.47,0.25,0.09,0.05

Croat_Croatia,28.78,33.22,14.82,7.79,11.42,1.44,0. 52,0.28,0.53,0.53,0.45,0.10,0.14
Croat_Croatia_Central,30.49,34.62,15.11,6.53,9.76, 1.09,0.73,0.16,0.49,0.32,0.49,0.03,0.16
Croat_Croatia_Dalmatia,26.46,31.46,15.95,8.53,13.6 7,1.51,0.48,0.17,0.61,0.49,0.34,0.18,0.12
Croat_Croatia_Gorski_Kotar,31.53,32.48,14.46,7.52, 10.28,1.15,0.62,0.29,0.53,0.55,0.31,0.14,0.12
Croat_Croatia_Lika-Senj,26.92,32.68,15.74,7.65,13.07,1.54,0.31,0.25,0 .54,0.54,0.52,0.14,0.09
Croat_Croatia_Slavonia,27.42,34.37,13.89,8.65,11.7 9,1.56,0.03,0.14,1.16,0.62,0.35,0.02,0.01
Croat_Croatia_Zagorje,30.95,34.84,13.38,7.59,8.70, 1.47,0.65,0.52,0.47,0.89,0.24,0.15,0.16
Croat_Croatia_Istria_&_Kvarner,26.95,32.22,15.54,7.05,14.89,1.48,0.15,0. 36,0.47,0.29,0.46,0.13,0.02

done:)

[Lucas]

@Lucas,

Please add this new Sicilian average for K13 (I averaged out the Sicily and Sicilian samples) and delete the East and West Sicilian references.

Sicily,18.24,7.44,21.81,13.91,29.59,5.61,0.59,0.33 ,0.21,0.14,0.42,0.95,0.77

I did the same thing for the two Sardinian references as well in K13:

Sardinia,23.14,1.64,49.58,0.38,22.02,2.41,0,0.13,0 .03,0,0.31,0.26,0.1

Done.

[Chris596]

Since I see many new updates, I checked again my score, and even if I'm just a little bit Danube Swabian I still am quite German shifted for a Hungarian, which still surprises me, while I also have a slight Central and East Asian ancestry (really curious if 23andMe update will pick this up):


Nice! Here's mine, I'm not sure about it, I think everything is the same for me:

Distance to: Chris
2.59428217 Serb_Croatia_Kordun&Banija
2.68642886 Romania_Moldavia_North
2.71517955 Moldova_average
2.84905247 Serb_Croatia
3.02160553 Moldova_Centre
3.08340721 Serb_B&H
3.09331537 Serb
3.10610689 Serb
3.15863895 Serb_Serbia_Vojvodina
3.17853740 Serb_Serbia
3.18923188 Serb_Serbia_West&Central
3.20396629 Serb_B&H_Krajina
3.22116439 Bosniak
3.23737548 Romania_Maramures
3.51857926 Serb_Croatia_Dalmatia
3.65187623 Serb_Croatia_Lika
3.80732189 Serb_B&H_Bosnia_proper
3.83391445 Bosniak_Sarajevo
3.87016796 Croat_B&H_Herzegovina
3.92677985 Croat_Croatia_Dalmatia
4.13915450 Croat_B&H_West_Bosnia
4.15900228 Serb_Serbia_South&East
4.33796035 Croat_B&H
4.57681112 Romania_Crisana
4.61390290 Serb_B&H_Herzegovina

Target: Chris
Distance: 1.7939% / 1.79388025 | ADC: 0.25x
63.0 Serb_Croatia_Kordun&Banija
18.2 Romania_Moldavia_North
9.0 Croat_Croatia_Slavonia
5.6 Turk_Kardzhali-Alevi
3.0 Turk_Razgrad
0.8 Ukrainian_Belgorod
0.4 She

[Leto]

Lukasz, you seem to be adding things selectively. I sent you just one thing three days ago and it's not added yet.

[Lucas]

Add these (Eurogenes K13):


Italian_Insubria,32.58,12.51,24.96,7.90,18.79,2.07 ,0.05,0.27,0.12,0.14,0.21,0.22,0.12
Italian_Orobia,33.02,11.21,25.86,6.82,19.58,2.31,0 .24,0.13,0.25,0.21,0.05,0.23,0.03
Italian_Emilia_ovest,30.28,10.80,24.92,8.49,21.36, 2.54,0.31,0.45,0.00,0.32,0.40,0.03,0.04
Italian_Emilia_est,28.39,11.31,23.83,8.27,22.84,4. 00,0.19,0.30,0.09,0.21,0.32,0.14,0.03
Italian_Sannio,18.49,7.95,23.25,13.57,29.86,4.99,0 .39,0.03,0.22,0.55,0.15,0.33,0.16
Italian_Puglia,18.81,9.37,21.86,14.54,28.77,4.95,0 .28,0.05,0.17,0.26,0.44,0.35,0.09
Italian_Lucania,20.54,8.01,20.72,14.50,28.73,5.50, 0.37,0.08,0.09,0.03,0.46,0.59,0.33
Italian_Calabria_citra,16.45,6.16,22.01,14.95,32.5 9,5.52,0.52,0.23,0.04,0.18,0.6,0.41,0.28
Italian_Salento,19.24,6.97,22.95,14.88,30.37,4.23, 0.00,0.27,0.03,0.52,0.29,0.16,0.06
Italian_Calabria_ultra,16.11,5.87,21.72,14.90,32.6 5,6.51,0.24,0.34,0.00,0.04,0.17,1.16,0.21


I added those^^

And those users can decide if they are better than existing ones. Some are nearly identical.



Italian_Piemonte,33.26,14.77,23.79,7.12,16.98,2.77 ,0.06,0.11,0.13,0.26,0.34,0.02,0.31
Italian_Liguria,29.43,11.79,24.75,7.63,21.70,3.17, 0.38,0.36,0.10,0.27,0.20,0.02,0.03
Italian_Romagna,25.99,10.85,24.00,9.59,24.06,4.47, 0.20,0.48,0.04,0.42,0.22,0.13,0.12
Italian_Trentino,32.88,16.94,23.55,6.25,17.40,2.00 ,0.00,0.15,0.25,0.26,0.28,0.00,0.00
Italian_Veneto,32.57,14.31,23.16,6.88,19.24,2.18,0 .33,0.45,0.34,0.30,0.21,0.06,0.01
Italian_Friuli,30.46,18.15,21.29,8.21,17.55,2.44,0 .47,0.25,0.05,0.73,0.20,0.16,0.00
Italian_Toscana,28.65,11.28,23.92,10.10,21.07,3.73 ,0.34,0.16,0.12,0.09,0.22,0.08,0.17
Italian_Corsica,27.44,8.9,28.44,6.03,25.14,2.70,0. 14,0.27,0.21,0.03,0.42,0.14,0.09
Italian_Marche,23.65,8.87,22.77,11.85,26.31,4.97,0 .23,0.12,0.15,0.39,0.29,0.21,0.11
Italian_Lazio,23.63,9.05,23.37,11.91,26.54,3.91,0. 35,0.27,0.14,0.17,0.34,0.18,0.07
Italian_Abruzzo,21.05,8.67,21.90,13.15,29.26,4.55, 0.12,0.20,0.21,0.18,0.40,0.18,0.05
Italian_Campania,17.94,6.62,22.02,15.22,31.31,4.95 ,0.35,0.35,0.15,0.2,0.28,0.48,0.08
Italian_Sicilia_est,16.60,6.91,21.93,15.54,31.61,4 .33,0.00,0.21,0.15,0.25,0.54,1.40,0.47
Italian_Sicilia_ovest,19.62,6.77,22.25,12.76,29.69 ,5.59,0.56,0.20,0.30,0.09,0.35,0.86,0.9
Malta,16.04,7.03,22.81,11.65,32.82,5.08,0.32,0.83, 0.00,0.14,0.30,1.82,1.11
Sardegna,23.24,2.01,48.16,0.18,22.54,2.94,0.00,0.2 2,0.00,0.01,0.23,0.27,0.19

[Tacitus]

I added those^^

And those users can decide if they are better than existing ones. Some are nearly identical.



Italian_Piemonte,33.26,14.77,23.79,7.12,16.98,2.77 ,0.06,0.11,0.13,0.26,0.34,0.02,0.31
Italian_Liguria,29.43,11.79,24.75,7.63,21.70,3.17, 0.38,0.36,0.10,0.27,0.20,0.02,0.03
Italian_Romagna,25.99,10.85,24.00,9.59,24.06,4.47, 0.20,0.48,0.04,0.42,0.22,0.13,0.12
Italian_Trentino,32.88,16.94,23.55,6.25,17.40,2.00 ,0.00,0.15,0.25,0.26,0.28,0.00,0.00
Italian_Veneto,32.57,14.31,23.16,6.88,19.24,2.18,0 .33,0.45,0.34,0.30,0.21,0.06,0.01
Italian_Friuli,30.46,18.15,21.29,8.21,17.55,2.44,0 .47,0.25,0.05,0.73,0.20,0.16,0.00
Italian_Toscana,28.65,11.28,23.92,10.10,21.07,3.73 ,0.34,0.16,0.12,0.09,0.22,0.08,0.17
Italian_Corsica,27.44,8.9,28.44,6.03,25.14,2.70,0. 14,0.27,0.21,0.03,0.42,0.14,0.09
Italian_Marche,23.65,8.87,22.77,11.85,26.31,4.97,0 .23,0.12,0.15,0.39,0.29,0.21,0.11
Italian_Lazio,23.63,9.05,23.37,11.91,26.54,3.91,0. 35,0.27,0.14,0.17,0.34,0.18,0.07
Italian_Abruzzo,21.05,8.67,21.90,13.15,29.26,4.55, 0.12,0.20,0.21,0.18,0.40,0.18,0.05
Italian_Campania,17.94,6.62,22.02,15.22,31.31,4.95 ,0.35,0.35,0.15,0.2,0.28,0.48,0.08
Italian_Sicilia_est,16.60,6.91,21.93,15.54,31.61,4 .33,0.00,0.21,0.15,0.25,0.54,1.40,0.47
Italian_Sicilia_ovest,19.62,6.77,22.25,12.76,29.69 ,5.59,0.56,0.20,0.30,0.09,0.35,0.86,0.9
Malta,16.04,7.03,22.81,11.65,32.82,5.08,0.32,0.83, 0.00,0.14,0.30,1.82,1.11
Sardegna,23.24,2.01,48.16,0.18,22.54,2.94,0.00,0.2 2,0.00,0.01,0.23,0.27,0.19


Personally I think they're redundant since there's no need to split and already split subregion like Emilia for instance into east and west; also Lucania (old name for Basilicata) is virtually identical to the Basilicata average already in there. Later I might combine those averages and see how that works just to make things a little more straight-forward. Interesting nevertheless.

[WeirdLookingFellow]

target: Fellow
Distance: 3.1138% / 3.11383207 | ADC: 0.5x
24.2 Hungarian_Szekely
18.8 Pomak_Plovdiv
18.2 Macedonian_East
17.2 Serb_Croatia_Dalmatia
16.6 IT_Trentino
5.0 IT_Friuli-VG

New distances:


Distance to: Fellow
5.73877165 Romania_Crisana
6.08278719 Montenegrin
6.21126396 Romania_Transylvania
6.24196283 Serb_Croatia_Dalmatia
6.31115679 Bosniak_Sandzak
6.53450075 Romania_Moldavia_South
6.79991912 Romania_Oltenia
6.96817049 Romania_average
7.00596175 Serb_Croatia_Lika
7.05920675 Serb_Serbia_South&East
7.06084981 Serb_B&H_Herzegovina
7.17557663 Macedonian_East
7.29372333 Macedonian_Northwest
7.40056755 Serb
7.43501849 Serb_Serbia_Vojvodina
7.45922248 Serb_Serbia
7.52222042 Serb_Croatia
7.56655139 Serb
7.56865246 Romania_Wallachia
7.57637116 Romania_Banat
7.70879368 Serb_Serbia_West&Central
7.74339073 Bulgaria_Northwestern
7.79129643 Bulgaria_Southwestern
7.80663820 Hungarian_Szekely
7.97191947 Romania_Maramures

[Ion Basescul]

Personally I think they're redundant since there's no need to split and already split subregion like Emilia for instance into east and west; also Lucania (old name for Basilicata) is virtually identical to the Basilicata average already in there. Later I might combine those averages and see how that works just to make things a little more straight-forward. Interesting nevertheless.

Why not simply have 6 regions for all of Italy (Alps, North, Centre, South, Sicily and Sardinia)?

[Jana]

Why not simply have 6 regions for all of Italy (Alps, North, Centre, South, Sicily and Sardinia)?

In my opinion it wouldn't capture all diversity in Italy. For example Veneto is pretty different from Liguria as far as I know (both are northern).

[Lucas]

In my opinion it wouldn't capture all diversity in Italy. For example Veneto is pretty different from Liguria as far as I know (both are northern).

I agree. Italy is pretty diversed comparing to other European countries.

[Kyp]

New Baloch average for Dodecad k12b:


Baloch,42.21,0.73,0.58,0.27,1.80,5.19,13.46,0.68,1 1.65,0.14,19.75,2.61

[Leto]

New Baloch average for Dodecad k12b:


Baloch,42.21,0.73,0.58,0.27,1.80,5.19,13.46,0.68,1 1.65,0.14,19.75,2.61
What was their Gedrosia range?

[Kyp]

What was their Gedrosia range?

Lowest 30.37
Highest 51.80

Most were in the 38-45 range


n=12

[Leto]

@Lucas, you wrongly deleted the Cypriot when you added the new Greek update submitted by Kaspias (which is great by the way). Cyprus is a different country, not part of Greece.

A new Cypriot for Dodecad K12b, please delete the old one


Greek_Cypriot,8.86,0.14,3.25,0.13,20.88,3.81,0.33, 0.37,18.23,0.26,43.72,0

Please add it back.

[Tacitus]

Ok I combined the recent regional averages for Italy with the original sources and here are the new averages for K13. The only unchanged ones are Basilicata (the new Lucania sample is virtually identical), Molise, Aosta, and Umbria.

Italian_Abruzzo,20.94,8.67,21.62,13.43,29.24,4.58, 0.15,0.24,0.25,0.2,0.37,0.26,0.05
Italian_Aosta,39.39,15.81,22.37,7.56,12.42,1.2,0.4 6,0.01,0,0.01,0.12,0.44,0.21
Italian_Apulia,19.02,8.26,22.3,14.71,29.55,4.6,0.1 3,0.11,0.11,0.4,0.43,0.3,0.08
Italian_Basilicata,20.54,8.01,20.72,14.55,28.73,5. 5,0.37,0.08,0.09,0.03,0.46,0.59,0.33
Italian_Calabria,16.19,5.91,21.7,15.11,32.79,6.1,0 .36,0.35,0.02,0.1,0.36,0.74,0.27
Italian_Campania,18.33,7.26,22.11,14.74,30.71,4.93 ,0.46,0.24,0.16,0.3,0.18,0.44,0.14
Italian_Emilia,29.45,11.37,24.41,8.37,21.84,3.16,0 .26,0.33,0.03,0.28,0.34,0.11,0.04
Italian_Friuli,31.36,17.52,20.96,7.7,18.04,2.72,0. 39,0.28,0.05,0.77,0.11,0.1,0
Italian_Lazio,24.44,9.2,23.7,11.63,25.84,3.76,0.34 ,0.24,0.13,0.21,0.26,0.16,0.07
Italian_Liguria,30.04,11.84,24.67,7.62,21.38,2.96, 0.38,0.35,0.09,0.28,0.24,0.05,0.04
Italian_Lombardy,32.65,12.11,25.67,6.77,19.54,2.16 ,0.2,0.18,0.14,0.09,0.14,0.18,0.09
Italian_Marche,24.57,9.18,22.96,11.69,25.92,4.39,0 .19,0.13,0.14,0.27,0.21,0.2,0.15
Italian_Molise,20.11,8.57,21.61,14.07,29.62,4.58,0 .02,0.47,0,0.38,0.25,0.16,0.16
Italian_Piedmont,33.1,14.48,24.23,6.57,17.45,2.85, 0.07,0.11,0.16,0.3,0.4,0.02,0.26
Italian_Romagna,26.15,11.02,23.57,9.88,24.19,4.14, 0.14,0.41,0.05,0.34,0.18,0.13,0.06
Italian_Sardinia,23.19,1.83,48.87,0.28,22.28,2.68, 0,0.18,0.02,0,0.27,0.27,0.15
Italian_Sicily,18.15,7.04,22,14.07,30.3,5.18,0.38, 0.25,0.22,0.16,0.44,1.07,0.71
Italian_Trentino,33.28,17.34,23.41,5.89,17.29,1.81 ,0,0.16,0.19,0.24,0.3,0.08,0.01
Italian_Tuscany,28.19,11.11,24.1,9.5,22.17,3.76,0. 28,0.15,0.14,0.09,0.3,0.11,0.11
Italian_Umbria,26.21,9.45,23.31,11.11,24.58,3.76,0 .28,0.17,0,0.16,0.84,0.13,0
Italian_Veneto,32.41,14.7,23.41,7.18,18.81,1.92,0. 29,0.42,0.29,0.28,0.25,0.03,0.03
Malta,16.23,6.76,21.7,12.76,32.1,5.85,0.5,0.77,0,0 .07,0.31,1.6,1.32

Please delete the current samples and add these. Thanks.

[vbnetkhio]

Ok I combined the recent regional averages for Italy with the original sources and here are the new averages for K13. The only unchanged ones are Basilicata (the new Lucania sample is virtually identical), Molise, , and Umbria.

Italian_Abruzzo,20.94,8.67,21.62,13.43,29.24,4.58, 0.15,0.24,0.25,0.2,0.37,0.26,0.05
Italian_Aosta,39.39,15.81,22.37,7.56,12.42,1.2,0.4 6,0.01,0,0.01,0.12,0.44,0.21
Italian_Apulia,19.02,8.26,22.3,14.71,29.55,4.6,0.1 3,0.11,0.11,0.4,0.43,0.3,0.08
Italian_Basilicata,20.54,8.01,20.72,14.55,28.73,5. 5,0.37,0.08,0.09,0.03,0.46,0.59,0.33
Italian_Calabria,16.19,5.91,21.7,15.11,32.79,6.1,0 .36,0.35,0.02,0.1,0.36,0.74,0.27
Italian_Campania,18.33,7.26,22.11,14.74,30.71,4.93 ,0.46,0.24,0.16,0.3,0.18,0.44,0.14
Italian_Emilia,29.45,11.37,24.41,8.37,21.84,3.16,0 .26,0.33,0.03,0.28,0.34,0.11,0.04
Italian_Friuli,31.36,17.52,20.96,7.7,18.04,2.72,0. 39,0.28,0.05,0.77,0.11,0.1,0
Italian_Lazio,24.44,9.2,23.7,11.63,25.84,3.76,0.34 ,0.24,0.13,0.21,0.26,0.16,0.07
Italian_Liguria,30.04,11.84,24.67,7.62,21.38,2.96, 0.38,0.35,0.09,0.28,0.24,0.05,0.04
Italian_Lombardy,32.65,12.11,25.67,6.77,19.54,2.16 ,0.2,0.18,0.14,0.09,0.14,0.18,0.09
Italian_Marche,24.57,9.18,22.96,11.69,25.92,4.39,0 .19,0.13,0.14,0.27,0.21,0.2,0.15
Italian_Molise,20.11,8.57,21.61,14.07,29.62,4.58,0 .02,0.47,0,0.38,0.25,0.16,0.16
Italian_Piedmont,33.1,14.48,24.23,6.57,17.45,2.85, 0.07,0.11,0.16,0.3,0.4,0.02,0.26
Italian_Romagna,26.15,11.02,23.57,9.88,24.19,4.14, 0.14,0.41,0.05,0.34,0.18,0.13,0.06
Italian_Sardinia,23.19,1.83,48.87,0.28,22.28,2.68, 0,0.18,0.02,0,0.27,0.27,0.15
Italian_Sicily,18.15,7.04,22,14.07,30.3,5.18,0.38, 0.25,0.22,0.16,0.44,1.07,0.71
Italian_Trentino,33.28,17.34,23.41,5.89,17.29,1.81 ,0,0.16,0.19,0.24,0.3,0.08,0.01
Italian_Tuscany,28.19,11.11,24.1,9.5,22.17,3.76,0. 28,0.15,0.14,0.09,0.3,0.11,0.11
Italian_Umbria,26.21,9.45,23.31,11.11,24.58,3.76,0 .28,0.17,0,0.16,0.84,0.13,0
Italian_Veneto,32.41,14.7,23.41,7.18,18.81,1.92,0. 29,0.42,0.29,0.28,0.25,0.03,0.03
Malta,16.23,6.76,21.7,12.76,32.1,5.85,0.5,0.77,0,0 .07,0.31,1.6,1.32

Please delete the current samples and add these. Thanks.

you made the averages which are currently in the sheet?

[Tacitus]

you made the averages which are currently in the sheet?

I took the averages that Lucas posted (https://www.theapricity.com/forum/showthread.php?310130-NEW!-All-Gedmatch-calculators-on-Vahaduo-ON-LINE&p=6930224&viewfull=1#post6930224) and combined those with their corresponding averages already in Vahaduo, coming up with the ones I posted.

[vbnetkhio]

I took the averages that Lucas posted (https://www.theapricity.com/forum/showthread.php?310130-NEW!-All-Gedmatch-calculators-on-Vahaduo-ON-LINE&p=6930224&viewfull=1#post6930224) and combined those with their corresponding averages already in Vahaduo, coming up with the ones I posted.

whoever made the current averages should share the individual samples he used, and they should be combined with Patrius' individual samples.

for example, maybe the current Tuscan average has 10 samples, and the new one from Patrius has 100, in that case the Patrius average is much better and should completely replace the current one. this is just one of the reasons why it should be done this way.

[J. Ketch]

Never noticed Pennsylvania Dutch in the database before, interesting.

Distance to: Pennsylvania_Dutch
3.94992405 West_German
4.66171642 Swiss_German
5.46640650 FRA_Alsace
5.48789577 FRA_Belgica
6.18409250 German_Bavarian
6.26643439 South_Dutch
6.31468922 Belgium
8.49428043 FRA_Central
8.77675908 Austria-Tyrol
8.77690720 FRA_Armorica
8.88092901 Austria-Burgenland
9.14867203 English_Southeast
9.44982540 Southwest_English
9.96016566 English_Midlands
10.10446436 North_German
10.18204793 Dutch
10.26913823 Southeast_English
10.60157535 Italy_Aostavalley
10.63696855 English_North
11.03514839 England
11.09996396 North_Dutch
11.62367842 East_German
11.80181342 Welsh
11.88194429 Scotland
11.91352593 Ulster_British

Target: Pennsylvania_Dutch
Distance: 1.3744% / 1.37439393
52.2 West_Norwegian
29.0 Italy_Lombardy
6.4 France-South
6.0 Latvian
2.6 Sardinian
2.0 Italy_Trentino
1.8 Jordanian

[Leto]

Never noticed Pennsylvania Dutch in the database before, interesting.

I believe they are from Southwestern Germany just like Volga Germans. Can I see the average?

[J. Ketch]

I believe they are from Southwestern Germany just like Volga Germans. Can I see the average?
It's already in K15 updated

Pennsylvania_Dutch,32.06,23.02,11.58,8.27,12.36,3. 01,8.04,0.34,0.45,0,0,0.15,0.44,0,0.27

[Tacitus]

whoever made the current averages should share the individual samples he used, and they should be combined with Patrius' individual samples.

for example, maybe the current Tuscan average has 10 samples, and the new one Patrius has 100, in that case the Patrius average is much better and should completely replace the current one.

I've no idea who created the original samples, I don't think they're a member here. I will say that Patrius's samples were for the most part pretty close to the originals:
Distance to: IT_Calabria_ultra (southern Calabria)
1.05858396 IT_Calabria
2.55734237 Malta
3.82734895 IT_Campania
3.85262248 Greek_North_Aegean
4.33133928 Sicily
5.19529595 Greek_Symi_Island
5.46014652 IT_Apulia
5.54912606 Greek_Dodecanese
5.66544791 Greek_Crete
6.17143419 IT_Molise
6.49640670 Greek_Cyclades
6.49843058 IT_Basilicata
6.74616187 Greek_Ionia
6.84843778 Greek_Chios
6.92251399 IT_Abruzzo
6.96955522 Sephardic_Jewish
7.56436382 Ashkenazi
7.82108688 Italian_Jewish
8.06885989 Algerian_Jewish
8.07647200 Greek_Andros_Island
9.12711345 Moroccan_Jew
9.30129561 Greek_Athens
9.95105020 Greek_Central
11.52794431 Tunisian_Jewish
11.77708368 Turk_Crete

Distance to: IT_Salento (subregion of Apulia)
2.03172341 IT_Apulia
2.42163168 IT_Campania
2.55462326 IT_Molise
2.76546560 Sicily
3.33303165 IT_Abruzzo
3.58598661 IT_Basilicata
4.42382188 Greek_Cyclades
5.10389067 Malta
5.23368895 IT_Calabria
5.86317320 Greek_Ionia
6.03158354 Greek_North_Aegean
6.41014040 Greek_Andros_Island
6.95573145 Greek_Athens
7.77069495 Greek_Central
7.83024904 Greek_Crete
8.73635508 Greek_Western-Thrace
8.85293172 Greek_Symi_Island
8.96957636 IT_Marche
8.99458170 Greek_Dodecanese
9.13065715 IT_Lazio
9.55610799 Greek_Chios
9.56052823 Ashkenazi
9.95798172 Greek_Peloponnese
10.16585953 IT_Umbria
10.87603788 Greek_West

Distance to: IT_Calabria_citra (northern Calabria)
1.48559752 IT_Calabria
2.96469223 Malta
3.16477487 IT_Campania
3.54746388 Greek_North_Aegean
3.94736621 Sicily
4.74817860 IT_Apulia
5.48270918 Greek_Symi_Island
5.51282142 IT_Molise
5.51598586 Greek_Crete
5.74771259 Greek_Dodecanese
5.94078278 Greek_Cyclades
6.08269677 IT_Basilicata
6.23983173 Greek_Ionia
6.32365401 IT_Abruzzo
6.93269789 Greek_Chios
7.63209015 Ashkenazi
7.70757420 Sephardic_Jewish
7.73347270 Greek_Andros_Island
8.26970374 Italian_Jewish
8.62784446 Algerian_Jewish
8.73067580 Greek_Athens
9.40885753 Greek_Central
9.66474004 Moroccan_Jew
11.62152744 Turk_Crete
11.83017751 Greek_Peloponnese

Distance to: IT_Lucania
0.05000000 IT_Basilicata
1.69277878 IT_Abruzzo
1.94347627 IT_Molise
2.47016194 IT_Apulia
2.89223097 Sicily
3.34680445 IT_Campania
3.64016483 Greek_Cyclades
4.37870986 Greek_Andros_Island
5.52627361 Malta
5.78959411 Greek_Ionia
5.96394165 Greek_Athens
6.52833057 Greek_Central
6.90190553 IT_Calabria
7.40859636 IT_Marche
7.47707162 Greek_North_Aegean
7.70971465 Greek_Western-Thrace
7.85973918 IT_Lazio
8.44085304 Greek_Peloponnese
8.55446667 IT_Umbria
8.84441066 Greek_Crete
9.01523710 Greek_West_Macedonia
9.32303599 Turk_Crete
9.42000000 Greek
9.53189908 IT_Romagna
9.58550468 Ashkenazi

Distance to: IT_Puglia
1.29607099 IT_Apulia
1.94347627 Greek_Cyclades
1.95887723 IT_Molise
2.43257066 IT_Abruzzo
2.56329866 Sicily
2.57491747 IT_Basilicata
3.34995522 IT_Campania
3.82963445 Greek_Ionia
4.07680022 Greek_Athens
4.36895869 Greek_Andros_Island
4.80202041 Greek_Central
5.42682227 Malta
6.27986465 Greek_North_Aegean
6.61670613 IT_Calabria
6.90971779 Greek_Western-Thrace
7.03695247 Greek_Peloponnese
7.43804410 Greek_Crete
8.09455372 Greek_West_Macedonia
8.14879746 Greek
8.20302383 IT_Marche
8.27118492 Greek_West
8.33592826 Turk_Crete
8.45568448 IT_Lazio
8.88811004 Greek_Northeast
8.96467512 Ashkenazi

Distance to: IT_Sannio (a subregion of Campania)
1.93271829 IT_Apulia
2.02403063 Sicily
2.57309153 IT_Molise
3.20858224 IT_Campania
3.23780790 IT_Abruzzo
3.68608193 IT_Basilicata
4.00690654 Greek_Cyclades
4.73997890 Malta
5.34328551 Greek_Ionia
5.60868969 IT_Calabria
5.99864151 Greek_Athens
6.17192839 Greek_North_Aegean
6.46233704 Greek_Andros_Island
6.88422835 Greek_Central
7.76618954 Greek_Crete
8.14994479 Greek_Western-Thrace
8.64571570 Ashkenazi
8.71077494 IT_Marche
8.80820072 IT_Lazio
8.92839851 Greek_Peloponnese
9.38410358 Greek_Dodecanese
9.56450208 Greek_Symi_Island
9.90296925 IT_Umbria
9.96221361 Greek_West
10.08087794 Greek

Distance to: IT_Emilia_est
1.19440362 IT_Tuscan
2.43667807 IT_Emilia
3.27771262 IT_Romagna
3.34868631 Italian
3.35025372 IT_Liguria
4.46544511 IT_Umbria
5.36005597 IT_Lazio
5.49346885 IT_Marche
5.75975694 FrenchCorsica
6.37057297 IT_Lombardy
7.43232131 IT_Veneto
7.75336056 IT_Piedmont
8.80528251 IT_Friuli-VG
8.96391655 Greek_Western-Thrace
9.55133499 FRA_Provence
9.57543733 Vlach_Central-Macedonia
9.71901744 Albanian_north_Albania
9.73816718 Greek_Central-Macedonia
9.89231520 Albanian_Kosovo
9.93571839 Torbesh_average
10.26649892 Albanian_south_Albania
10.46981853 Albanian_Albania
10.49918568 Greek_Eastern-Macedonia
10.51142712 Albanian
10.71678123 IT_Trentino

Distance to: IT_Emilia_ovest
1.49793191 IT_Emilia
1.53733536 IT_Liguria
3.54818263 IT_Tuscan
4.39424624 IT_Lombardy
5.58921282 Italian
5.69768374 IT_Romagna
5.87848620 IT_Veneto
6.07638050 IT_Piedmont
6.28062099 FrenchCorsica
6.32540908 IT_Umbria
7.20626117 IT_Lazio
7.50567785 IT_Marche
7.88426281 FRA_Provence
8.34739480 IT_Friuli-VG
9.47136738 IT_Trentino
9.50473566 Swiss-Italian2
10.07684474 Swiss_Italian
10.90036697 Greek_Western-Thrace
11.50406450 Albanian_Kosovo
11.65490026 Albanian_north_Albania
11.76778229 Greek_Central-Macedonia
11.83703088 Torbesh_average
11.84590225 Vlach_Central-Macedonia
12.45088350 Greek_Eastern-Macedonia
12.52916597 Albanian_south_Albania

Distance to: IT_Orobia (eastern Lombardy)
2.16004630 IT_Lombardy
3.29533003 IT_Liguria
3.80194687 IT_Piedmont
4.43488444 IT_Emilia
4.78677344 IT_Veneto
5.65372444 FRA_Provence
6.42823459 Swiss-Italian2
7.14081228 IT_Tuscan
7.30887132 Swiss_Italian
7.60484056 IT_Trentino
7.89589767 IT_Friuli-VG
8.51903750 FrenchCorsica
9.16644424 Spanish_Extremadura
9.31119219 Italian
9.37224093 Portuguese
9.41048352 IT_Romagna
9.84225076 Spanish_Andalucia
10.10870912 IT_Umbria
10.20222035 Spanish_Murcia
10.44408445 Spanish_Valencia
10.96984047 IT_Lazio
11.05631042 Spanish_Galicia
11.22655780 Spanish
11.26619723 IT_Marche
11.27869673 AostaValley

Distance to: IT_Insubria (western Lombardy)
2.87947912 IT_Piedmont
3.01260684 IT_Veneto
3.02886117 IT_Lombardy
3.18176052 IT_Liguria
4.06179763 IT_Emilia
4.67275080 FRA_Provence
6.03607488 Swiss-Italian2
6.31350933 IT_Trentino
6.32792225 IT_Friuli-VG
7.11955055 IT_Tuscan
7.25066893 Swiss_Italian
8.90713759 Italian
9.12288332 IT_Romagna
9.46183914 FrenchCorsica
9.82275420 Portuguese
9.91262327 Spanish_Extremadura
9.99221697 IT_Umbria
10.28373473 AostaValley
10.86719375 Spanish_Andalucia
10.92023809 IT_Lazio
11.06868104 Spanish_Murcia
11.15212087 IT_Marche
11.31069848 Spanish_Valencia
11.38246898 Spanish_Galicia
11.61839059 Spanish_Cataluna

[J. Ketch]

It's already in K15 updated

Pennsylvania_Dutch,32.06,23.02,11.58,8.27,12.36,3. 01,8.04,0.34,0.45,0,0,0.15,0.44,0,0.27
Arikaners are probably similar, maybe a little more Northern as they're largely from the Netherlands and surrounds.

[Leto]

Arikaners are probably similar, maybe a little more Northern as they're largely from the Netherlands and surrounds.
They do have detectable non-Caucasoid influences.

[Ajeje Brazorf]

whoever made the current averages should share the individual samples he used, and they should be combined with Patrius' individual samples.

for example, maybe the current Tuscan average has 10 samples, and the new one from Patrius has 100, in that case the Patrius average is much better and should completely replace the current one. this is just one of the reasons why it should be done this way.

The averages were made by user Sizzo and posted in his personal blog, not by me.

[vbnetkhio]

The averages were made by user Sizzo and posted in his personal blog, not by me.

these averages you posted here (https://www.theapricity.com/forum/showthread.php?310130-NEW!-All-Gedmatch-calculators-on-Vahaduo-ON-LINE&p=6928815&viewfull=1#post6928815) were made by Sizzo?

[Ajeje Brazorf]

these averages you posted here (https://www.theapricity.com/forum/showthread.php?310130-NEW!-All-Gedmatch-calculators-on-Vahaduo-ON-LINE&p=6928815&viewfull=1#post6928815) were made by Sizzo?

Yes (the Italian ones). And they were posted on his personal blog last year.

[vbnetkhio]

Yes (the Italian ones). And they were posted on his personal blog last year.

last year? i think the samples which were already in the sheet are also from Sizzo, but a different version. maybe they were more up to date(more samples) than the ones you posted?

somebody should contact Sizzo and ask him what to add.

[J. Ketch]

Distances for the averages I've made so far:

K15

Distance to: English_Midlands
0.91038453 English_North
1.37124031 English_Southeast
1.75567651 England
1.97040605 Welsh
1.99022612 Dutch
2.63664560 Southwest_English
2.66097726 Ulster_British
2.81586576 Southeast_English
2.96898973 Scotland
3.36443160 Irish_Munster
3.58058654 FRA_Armorica
3.84347499 North_Dutch
4.07351200 West_Scottish
4.14183534 Irish
4.36123836 Orcadian
4.48540968 Irish_Connacht
5.99896658 Belgium
6.29121610 Danish
6.36855557 North_German
7.44032257 Norway
7.70754825 Norwegian
7.76218397 South_Dutch
8.08676079 Swedish
8.40703277 West_Norwegian
8.46243464 West_German

Distance to: English_North
0.91038453 English_Midlands
1.43450340 England
1.46147186 Welsh
1.70352576 Dutch
2.02323998 English_Southeast
2.42390181 Scotland
2.43918019 Ulster_British
2.67271398 Irish_Munster
2.82975264 Southeast_English
3.22200248 Southwest_English
3.31859910 North_Dutch
3.40744773 West_Scottish
3.54288018 Irish
3.84425545 Irish_Connacht
3.90985933 Orcadian
4.14357334 FRA_Armorica
5.76832731 Danish
6.15183712 North_German
6.64121977 Belgium
7.05593367 Norway
7.37625244 Norwegian
7.65057514 Swedish
8.01739359 West_Norwegian
8.34008993 South_Dutch
8.93514410 North_Swedish

Distance to: English_Southeast
1.37124031 English_Midlands
2.02323998 English_North
2.19508542 Southwest_English
2.21379764 England
2.64561902 FRA_Armorica
2.69583011 Dutch
2.87583031 Welsh
2.93520016 Southeast_English
3.40186713 Ulster_British
3.99013784 Scotland
4.13844174 Irish_Munster
4.63035636 North_Dutch
4.77829467 Irish
4.95402866 West_Scottish
4.97086512 Belgium
5.31268294 Irish_Connacht
5.51594960 Orcadian
5.98676874 North_German
6.54064217 South_Dutch
7.16133367 Danish
7.71245746 FRA_Belgica
7.76139807 West_German
8.13282854 Norway
8.43653957 Norwegian
8.72502149 Swedish

Distance to: Irish_Connacht
2.14301190 Irish_Munster
2.29538668 West_Scottish
2.76398263 Scotland
3.17348389 Welsh
3.29592172 Orcadian
3.38592676 Irish
3.55453232 England
3.79603741 Ulster_British
3.84425545 English_North
4.17830109 Southeast_English
4.48540968 English_Midlands
4.65352555 Dutch
5.31268294 English_Southeast
5.32967166 North_Dutch
5.77285025 Southwest_English
6.39830446 FRA_Armorica
7.06142337 Danish
7.89231272 North_German
8.58082164 Norway
8.95917965 West_Norwegian
8.98712412 Norwegian
9.11666606 Swedish
9.22886234 Belgium
10.38662120 North_Swedish
10.89424619 South_Dutch

Distance to: Irish_Munster
2.14301190 Irish_Connacht
2.20823459 West_Scottish
2.22856456 Welsh
2.28197283 England
2.55472112 Irish
2.67271398 English_North
2.82437604 Scotland
3.05460308 Orcadian
3.15721396 Ulster_British
3.34563895 Southeast_English
3.36443160 English_Midlands
3.63268496 Dutch
4.13844174 English_Southeast
4.34912635 North_Dutch
4.70509299 Southwest_English
5.59160084 FRA_Armorica
6.65047367 Danish
6.87587813 North_German
8.03942784 Belgium
8.33601823 Norway
8.71861801 Norwegian
8.80133513 Swedish
8.84190025 West_Norwegian
9.92172868 South_Dutch
10.34583974 North_Swedish

Distance to: Ulster_British
1.55277172 Welsh
2.43918019 English_North
2.50964141 Scotland
2.66097726 English_Midlands
2.95820892 Dutch
3.11265160 England
3.15721396 Irish_Munster
3.40186713 English_Southeast
3.44046508 Orcadian
3.79603741 Irish_Connacht
4.44548085 West_Scottish
4.50698347 North_Dutch
4.57251572 Southeast_English
4.74306863 Southwest_English
5.13491967 Irish
5.57009874 FRA_Armorica
6.22318247 Danish
7.23314593 Norway
7.52729035 Norwegian
7.55385332 North_German
7.71492061 West_Norwegian
7.90962705 Belgium
8.06814105 Swedish
9.40791156 North_Swedish
9.65382308 South_Dutch

Distance to: Welsh
1.46147186 English_North
1.55277172 Ulster_British
1.80197114 England
1.97040605 English_Midlands
2.22856456 Irish_Munster
2.35478237 Scotland
2.71287670 Dutch
2.87583031 English_Southeast
3.17348389 Irish_Connacht
3.39412728 Orcadian
3.53937848 West_Scottish
3.57829568 Southeast_English
3.84507477 Southwest_English
4.00206197 Irish
4.14699891 North_Dutch
4.84752514 FRA_Armorica
6.22961476 Danish
7.09811243 North_German
7.41056678 Norway
7.59434658 Belgium
7.79009628 Norwegian
8.10011728 West_Norwegian
8.12653678 Swedish
9.27255089 South_Dutch
9.43348822 North_Swedish


K13
Distance to: English_Midlands
0.89011235 English
1.11148549 English_Southeast
1.20054154 English_North
2.01581249 Southeast_English
2.67392969 Orcadian
2.69219242 FRA_Armorica
2.71123588 Dutch
2.95111843 Ulster_British
3.12931302 Southwest_English
3.72990617 Irish
4.05330729 Scottish
4.09046452 Irish_Munster
4.11319827 West_Scottish
4.57237356 North-Dutch
4.61523564 Welsh
6.12670384 North_German
6.65767978 Denmark
6.76826418 German_West
6.94096535 South_Dutch
6.94915103 Norwegian
7.29018518 Norway_South_Central
7.39662085 Sweden_Götaland
8.73656683 Sweden_Svealand_West
8.86543287 German
9.01755510 Swedish

Distance to: English_North
0.77794601 English
1.20054154 English_Midlands
1.79666357 Orcadian
2.07347534 English_Southeast
2.34623102 Ulster_British
2.70859742 Irish
2.74969089 Southeast_English
3.25973925 Dutch
3.27340801 Scottish
3.28697429 Irish_Munster
3.31374411 West_Scottish
3.39783755 Southwest_English
3.58328062 North-Dutch
3.77184305 FRA_Armorica
4.53454518 Welsh
5.72160817 North_German
5.72679666 Denmark
5.93828258 Norwegian
6.34194765 Norway_South_Central
6.48346358 Sweden_Götaland
7.49393755 German_West
7.90639614 Sweden_Svealand_West
7.92486593 South_Dutch
8.34212203 Swedish
9.18385540 German

Distance to: English_Southeast
1.11148549 English_Midlands
1.59245094 English
1.95281848 FRA_Armorica
2.07347534 English_North
2.29503813 Dutch
2.48541747 Southeast_English
3.22944268 Ulster_British
3.64553151 Orcadian
3.72209618 Southwest_English
4.56648661 Irish
4.76741020 Welsh
4.82741131 Scottish
4.84304656 Irish_Munster
5.07095652 West_Scottish
5.36389784 North-Dutch
5.88049318 German_West
6.01128938 South_Dutch
6.12092313 North_German
7.34190030 Denmark
7.64954247 Norwegian
8.00061248 Norway_South_Central
8.07622437 Sweden_Götaland
8.23315857 German
8.35088618 FRA_Belgica
9.33159150 Sweden_Svealand_West

Distance to: Irish_Munster
0.66060578 Scottish
1.48717854 Irish
1.53743293 West_Scottish
2.86345945 Ulster_British
3.03440274 Orcadian
3.28697429 English_North
3.85984456 English
3.92128805 Southwest_English
4.09046452 English_Midlands
4.43874982 Welsh
4.50456435 North-Dutch
4.84304656 English_Southeast
5.07858248 Southeast_English
6.21815085 FRA_Armorica
6.36773900 Dutch
6.51304844 Norwegian
6.74189884 Denmark
7.17369500 Norway_South_Central
7.47198100 Sweden_Götaland
7.87548094 North_German
9.10140099 Sweden_Svealand_West
10.01040459 Swedish
10.38053467 German_West
10.73569280 South_Dutch
12.15242363 German

Distance to: Ulster_British
2.34623102 English_North
2.49659768 English
2.50952187 Irish
2.86345945 Irish_Munster
2.95111843 English_Midlands
3.02459915 Scottish
3.06706700 Welsh
3.20957941 Orcadian
3.22944268 English_Southeast
3.55992977 West_Scottish
3.74770596 Southwest_English
4.52510773 FRA_Armorica
4.65102139 Southeast_English
4.77169781 North-Dutch
4.80758775 Dutch
6.69408694 North_German
6.71947915 Norwegian
6.73502784 Denmark
7.33546863 Norway_South_Central
7.47726554 Sweden_Götaland
8.45194061 German_West
8.82492493 South_Dutch
8.91232293 Sweden_Svealand_West
9.49528304 Swedish
10.09740561 German

Dodecad K12b
Distance to: English_mixed
0.73722452 English_South
1.39853495 English_North
2.14112120 Mixed_NW_Euro
3.12144197 Irish
3.25163036 Irish
3.39004425 Dutch
5.53458219 Icelandic
8.54774239 German
8.66667756 French2
9.12468082 Swedish
9.30976906 French
9.65036269 Bavarian_German
14.21081630 Slovenian
15.78446705 Slovak
16.47915046 Hungarians
16.66983203 Sorb_Lusatia
17.47099306 Italy_Aosta_Valley
17.47745691 Croat
17.61310592 HUN_Szekely
18.30123220 PL_GreaterPoland
18.82921135 PL_Warmia-Masuria
18.94217781 Bosnian
19.70256836 Spanish_Catalonia
19.75743404 Spanish_Baleares
19.82489596 Serb

Distance to: English_North
1.39853495 English_mixed
1.87114938 English_South
1.93883986 Mixed_NW_Euro
2.51179219 Dutch
2.69230385 Irish
2.75931151 Irish
4.16532112 Icelandic
7.67936195 German
7.78640482 Swedish
9.95748964 French2
10.52150179 Bavarian_German
10.60341926 French
14.05883352 Slovenian
15.13986460 Slovak
15.72652536 Sorb_Lusatia
16.11710582 Hungarians
17.42473529 PL_GreaterPoland
17.57027035 Croat
17.71037831 PL_Warmia-Masuria
17.98489366 HUN_Szekely
18.76577337 Italy_Aosta_Valley
19.06518817 Bosnian
19.94213629 MD_North
20.24213427 Serb
20.28465430 Ukrainian

Distance to: English_South
0.73722452 English_mixed
1.87114938 English_North
2.46424431 Mixed_NW_Euro
3.64566866 Irish
3.79093656 Irish
4.00755536 Dutch
5.88286495 Icelandic
8.42792976 German
8.58549940 French2
9.03073640 Bavarian_German
9.23705040 French
9.38538758 Swedish
13.77152134 Slovenian
15.50842674 Slovak
16.11168830 Hungarians
16.56316999 Sorb_Lusatia
16.93968713 Croat
16.96340768 HUN_Szekely
16.97550298 Italy_Aosta_Valley
18.15634875 PL_GreaterPoland
18.38181710 Bosnian
18.84844556 PL_Warmia-Masuria
19.20357258 Serb
19.25359707 MD_North
19.34835135 Spanish_Baleares

Distance to: Irish
0.30643107 Irish
1.30126861 Dutch
1.86421565 Mixed_NW_Euro
2.75931151 English_North
3.25163036 English_mixed
3.79093656 English_South
4.47438264 Icelandic
8.62772855 Swedish
9.74019507 German
10.23762668 French2
10.90741491 French
12.74883524 Bavarian_German
16.59486065 Slovenian
17.31244350 Slovak
17.51290381 Sorb_Lusatia
18.55675888 Hungarians
19.14816701 PL_Warmia-Masuria
19.30969705 PL_GreaterPoland
20.08509398 Croat
20.19837735 Italy_Aosta_Valley
20.31932085 HUN_Szekely
21.53610921 Bosnian
21.78298189 Spanish_Catalonia
22.02905127 Spanish_Cantabria
22.12361860 Spanish_Baleares

[Ajeje Brazorf]

last year? i think the samples which were already in the sheet are also from Sizzo, but a different version. maybe they were more up to date(more samples) than the ones you posted?

somebody should contact Sizzo and ask him what to add.

Honestly I do not know if they are more up to date. There is a great chance that the previous averages were made by Sizzo in April 2018:

https://translate.google.com/translate?sl=it&tl=en&u=https%3A%2F%2Filsizzi.wordpress.com%2F2018%2F04% 2F03%2Fa-grande-richiesta-il-breakdown-regionale-italiano%2F

The new averages, on the other hand, derive from an article of his in March 2019.

https://translate.google.com/translate?sl=it&tl=en&u=https%3A%2F%2Filsizzi.wordpress.com%2F2019%2F03% 2F23%2Fsmanettando-con-eurogenes-k13%2F

[vbnetkhio]

Honestly I do not know if they are more up to date. There is a great chance that the previous averages were made by Sizzo in April 2018:

https://translate.google.com/translate?sl=it&tl=en&u=https%3A%2F%2Filsizzi.wordpress.com%2F2018%2F04% 2F03%2Fa-grande-richiesta-il-breakdown-regionale-italiano%2F

The new averages, on the other hand, derive from an article of his in March 2019.

https://translate.google.com/translate?sl=it&tl=en&u=https%3A%2F%2Filsizzi.wordpress.com%2F2019%2F03% 2F23%2Fsmanettando-con-eurogenes-k13%2F

that's probably it.
than the new averages shouldn't replace the old ones, and not be combined with them.

[Dunai]

For the K13 I noticed some oddities, so I thought I could ask here if anyone has any suggestion about them. I believe only one of them should be kept because they seem to describe same people:

Albanian,21.21,17.81,21.54,11.15,24.03,2.70,0.15,0 .41,0.22,0.15,0.25,0.08,0.05
Albanian_Albania,20.74,17.25,22.08,11.11,24.51,2.6 5,0.18,0.17,0.29,0.25,0.24,0.15,0.11

Cyprian,5.67,2.81,19.86,20.34,41.08,8.12,0.50,0.07 ,0.23,0.00,0.47,0.30,0.54
Greek_Cypriot,5.67,2.81,19.86,20.34,41.08,8.12,0.5 ,0.07,0.23,0,0.47,0.3,0.54

Serb,24.72,29.47,17.13,9.20,15.42,1.55,0.55,0.27,0 .72,0.53,0.30,0.08,0.05
Serb,24.82,29.33,17.08,9.20,15.53,1.60,0.54,0.29,0 .72,0.53,0.28,0.05,0.05
Serb_Serbia,24.64,29.34,17.20,9.19,15.53,1.54,0.57 ,0.27,0.75,0.57,0.26,0.09,0.05

English_Southeast,49.11,23.07,14.04,6.08,4.08,0.69 ,1.01,0.19,0.24,0.54,0.44,0.25,0.20
Southeast_English,50.52,23.27,13.98,4.46,5.09,0.09 ,1.08,0.04,0.06,0.62,0.62,0.12,0.04

Greek_Central_Macedonia,18.99,17.79,21.11,12.46,24 .88,2.53,0.36,0.37,0.21,0.55,0.18,0.23,0.19
Greek_Central-Macedonia,23.34,16.97,18.98,11.86,22.95,3.96,0,0,0 .81,0.64,0.46,0,0

Swiss_German,40.15,22.01,17.27,6.58,10.31,1.90,0.0 8,0.28,0.25,0.52,0.29,0.29,0.09
Swiss_German2,41.14,21.44,17.58,6.72,10.25,1.25,0. 30,0.10,0.30,0.38,0.36,0.11,0.08

Swiss_Italian,36.35,15.43,23.16,2.81,18.65,2.71,0. 26,0.00,0.41,0.00,0.18,0.08,0.00
Swiss-Italian2,35.93,15.27,24.19,4.23,16.97,2.3,0.12,0,0 .26,0.36,0.13,0.24,0

Vlach(Aromanian)_average,21.26,20.34,19.00,11.77,2 2.61,3.09,0.18,0.47,0.47,0.41,0.38,0.04,0.00
Vlach_avg,21.26,20.34,19.00,11.77,22.61,3.09,0.18, 0.47,0.47,0.41,0.38,0.04,0.00

This one should be removed since I only made it for demonstrative purpose for a specific thread, grouping together 3 groups of Hungarians which have their very own particular regional identities, in real life Eastern Hungarian is not used by anyone:
Hungarian_Eastern,28.26,28.77,15.29,8.02,12.62,1.4 6,1.04,0.89,2.25,0.75,0.33,0.18,0.14

[vbnetkhio]

For the K13 I noticed some oddities, so I thought I could ask here if anyone has any suggestion about them. I believe only one of them should be kept because they seem to describe same people:

Albanian,21.21,17.81,21.54,11.15,24.03,2.70,0.15,0 .41,0.22,0.15,0.25,0.08,0.05
Albanian_Albania,20.74,17.25,22.08,11.11,24.51,2.6 5,0.18,0.17,0.29,0.25,0.24,0.15,0.11

Cyprian,5.67,2.81,19.86,20.34,41.08,8.12,0.50,0.07 ,0.23,0.00,0.47,0.30,0.54
Greek_Cypriot,5.67,2.81,19.86,20.34,41.08,8.12,0.5 ,0.07,0.23,0,0.47,0.3,0.54

Serb,24.72,29.47,17.13,9.20,15.42,1.55,0.55,0.27,0 .72,0.53,0.30,0.08,0.05
Serb,24.82,29.33,17.08,9.20,15.53,1.60,0.54,0.29,0 .72,0.53,0.28,0.05,0.05
Serb_Serbia,24.64,29.34,17.20,9.19,15.53,1.54,0.57 ,0.27,0.75,0.57,0.26,0.09,0.05

English_Southeast,49.11,23.07,14.04,6.08,4.08,0.69 ,1.01,0.19,0.24,0.54,0.44,0.25,0.20
Southeast_English,50.52,23.27,13.98,4.46,5.09,0.09 ,1.08,0.04,0.06,0.62,0.62,0.12,0.04

Greek_Central_Macedonia,18.99,17.79,21.11,12.46,24 .88,2.53,0.36,0.37,0.21,0.55,0.18,0.23,0.19
Greek_Central-Macedonia,23.34,16.97,18.98,11.86,22.95,3.96,0,0,0 .81,0.64,0.46,0,0

Swiss_German,40.15,22.01,17.27,6.58,10.31,1.90,0.0 8,0.28,0.25,0.52,0.29,0.29,0.09
Swiss_German2,41.14,21.44,17.58,6.72,10.25,1.25,0. 30,0.10,0.30,0.38,0.36,0.11,0.08

Swiss_Italian,36.35,15.43,23.16,2.81,18.65,2.71,0. 26,0.00,0.41,0.00,0.18,0.08,0.00
Swiss-Italian2,35.93,15.27,24.19,4.23,16.97,2.3,0.12,0,0 .26,0.36,0.13,0.24,0

Vlach(Aromanian)_average,21.26,20.34,19.00,11.77,2 2.61,3.09,0.18,0.47,0.47,0.41,0.38,0.04,0.00
Vlach_avg,21.26,20.34,19.00,11.77,22.61,3.09,0.18, 0.47,0.47,0.41,0.38,0.04,0.00

This one should be removed since I only made it for demonstrative purpose for a specific thread, grouping together 3 groups of Hungarians which have their very own particular regional identities, in real life Eastern Hungarian is not used by anyone:
Hungarian_Eastern,28.26,28.77,15.29,8.02,12.62,1.4 6,1.04,0.89,2.25,0.75,0.33,0.18,0.14

"Albanian" also includes Albanians outside of Albania.
it's the same with "Serb".
Serb,24.72 is the up to date version, Serb, 24.82 should be deleted

Vlach_avg and Greek_Central-Macedonia,23.34 should also be deleted.

[J. Ketch]

For the K13 I noticed some oddities, so I thought I could ask here if anyone has any suggestion about them. I believe only one of them should be kept because they seem to describe same people:

Albanian,21.21,17.81,21.54,11.15,24.03,2.70,0.15,0 .41,0.22,0.15,0.25,0.08,0.05
Albanian_Albania,20.74,17.25,22.08,11.11,24.51,2.6 5,0.18,0.17,0.29,0.25,0.24,0.15,0.11

Cyprian,5.67,2.81,19.86,20.34,41.08,8.12,0.50,0.07 ,0.23,0.00,0.47,0.30,0.54
Greek_Cypriot,5.67,2.81,19.86,20.34,41.08,8.12,0.5 ,0.07,0.23,0,0.47,0.3,0.54

Serb,24.72,29.47,17.13,9.20,15.42,1.55,0.55,0.27,0 .72,0.53,0.30,0.08,0.05
Serb,24.82,29.33,17.08,9.20,15.53,1.60,0.54,0.29,0 .72,0.53,0.28,0.05,0.05
Serb_Serbia,24.64,29.34,17.20,9.19,15.53,1.54,0.57 ,0.27,0.75,0.57,0.26,0.09,0.05

English_Southeast,49.11,23.07,14.04,6.08,4.08,0.69 ,1.01,0.19,0.24,0.54,0.44,0.25,0.20
Southeast_English,50.52,23.27,13.98,4.46,5.09,0.09 ,1.08,0.04,0.06,0.62,0.62,0.12,0.04

Greek_Central_Macedonia,18.99,17.79,21.11,12.46,24 .88,2.53,0.36,0.37,0.21,0.55,0.18,0.23,0.19
Greek_Central-Macedonia,23.34,16.97,18.98,11.86,22.95,3.96,0,0,0 .81,0.64,0.46,0,0

Swiss_German,40.15,22.01,17.27,6.58,10.31,1.90,0.0 8,0.28,0.25,0.52,0.29,0.29,0.09
Swiss_German2,41.14,21.44,17.58,6.72,10.25,1.25,0. 30,0.10,0.30,0.38,0.36,0.11,0.08

Swiss_Italian,36.35,15.43,23.16,2.81,18.65,2.71,0. 26,0.00,0.41,0.00,0.18,0.08,0.00
Swiss-Italian2,35.93,15.27,24.19,4.23,16.97,2.3,0.12,0,0 .26,0.36,0.13,0.24,0

Vlach(Aromanian)_average,21.26,20.34,19.00,11.77,2 2.61,3.09,0.18,0.47,0.47,0.41,0.38,0.04,0.00
Vlach_avg,21.26,20.34,19.00,11.77,22.61,3.09,0.18, 0.47,0.47,0.41,0.38,0.04,0.00

This one should be removed since I only made it for demonstrative purpose for a specific thread, grouping together 3 groups of Hungarians which have their very own particular regional identities, in real life Eastern Hungarian is not used by anyone:
Hungarian_Eastern,28.26,28.77,15.29,8.02,12.62,1.4 6,1.04,0.89,2.25,0.75,0.33,0.18,0.14
English_Southeast is my average that I'm continuing to update, from around SE England including all the Home Counties, and I think it's not bad. Southeast_English is the Gedmatch average that already exists in the original.

[Dunai]

English_Southeast is my average that I'm continuing to update, from around SE England including all the Home Counties, and I think it's not bad. Southeast_English is the Gedmatch average that already exists in the original.

One of them should obviously be deleted, I'm guessing yours is more representative then previous one.

[J. Ketch]

One of them should obviously be deleted, I'm guessing yours is more representative then previous one.
I don't know, they're not too different, but I'd like mine to stay as I continue to update it, plus the other one is still on the original sheet. I'm also planning to add a West Country average that could replace Southwest_English.

[Lucas]

Never noticed Pennsylvania Dutch in the database before, interesting.

Distance to: Pennsylvania_Dutch
3.94992405 West_German
4.66171642 Swiss_German
5.46640650 FRA_Alsace
5.48789577 FRA_Belgica
6.18409250 German_Bavarian
6.26643439 South_Dutch
6.31468922 Belgium
8.49428043 FRA_Central
8.77675908 Austria-Tyrol
8.77690720 FRA_Armorica
8.88092901 Austria-Burgenland
9.14867203 English_Southeast
9.44982540 Southwest_English
9.96016566 English_Midlands
10.10446436 North_German
10.18204793 Dutch
10.26913823 Southeast_English
10.60157535 Italy_Aostavalley
10.63696855 English_North
11.03514839 England
11.09996396 North_Dutch
11.62367842 East_German
11.80181342 Welsh
11.88194429 Scotland
11.91352593 Ulster_British

Target: Pennsylvania_Dutch
Distance: 1.3744% / 1.37439393
52.2 West_Norwegian
29.0 Italy_Lombardy
6.4 France-South
6.0 Latvian
2.6 Sardinian
2.0 Italy_Trentino
1.8 Jordanian

Someone not from this forum send me it. It is average of 20 or little more samples don't remember now.

[Lucas]

that's probably it.
than the new averages shouldn't replace the old ones, and not be combined with them.

So replace old ones with those from Patrius?

[Lucas]

For the K13 I noticed some oddities, so I thought I could ask here if anyone has any suggestion about them. I believe only one of them should be kept because they seem to describe same people:

Cyprian,5.67,2.81,19.86,20.34,41.08,8.12,0.50,0.07 ,0.23,0.00,0.47,0.30,0.54

Southeast_English,50.52,23.27,13.98,4.46,5.09,0.09 ,1.08,0.04,0.06,0.62,0.62,0.12,0.04


Greek_Central-Macedonia,23.34,16.97,18.98,11.86,22.95,3.96,0,0,0 .81,0.64,0.46,0,0



Vlach_avg,21.26,20.34,19.00,11.77,22.61,3.09,0.18, 0.47,0.47,0.41,0.38,0.04,0.00

Hungarian_Eastern,28.26,28.77,15.29,8.02,12.62,1.4 6,1.04,0.89,2.25,0.75,0.33,0.18,0.14

^^Those are deleted.

I'm not sure which is better here:

Swiss_German,40.15,22.01,17.27,6.58,10.31,1.90,0.0 8,0.28,0.25,0.52,0.29,0.29,0.09
Swiss_German2,41.14,21.44,17.58,6.72,10.25,1.25,0. 30,0.10,0.30,0.38,0.36,0.11,0.08

Swiss_Italian,36.35,15.43,23.16,2.81,18.65,2.71,0. 26,0.00,0.41,0.00,0.18,0.08,0.00
Swiss-Italian2,35.93,15.27,24.19,4.23,16.97,2.3,0.12,0,0 .26,0.36,0.13,0.24,0

[vbnetkhio]

So replace old ones with those from Patrius?

yes. but maybe not all regions should be added. Italian members should decide.

[Ajeje Brazorf]

The virgin Eurogenes K13 vs the chad Global25


yes. but maybe not all regions should be added. Italian members should decide.

There are few in this forum. For me, you could easily replace the current ones with the ones I posted. Tacitus knows more than I do, so it would be better if he decides.

[Deusex99]

Yes (the Italian ones). And they were posted on his personal blog last year.

They were made by Sikeliot, so they are somewhat biased but still more reliable than the Italian samples published by the Raveane paper whose ancestry and birthplace have not been checked.

[Ajeje Brazorf]

They were made by Sikeliot, so they are somewhat biased but still more reliable than the Italian samples published by the Raveane paper whose ancestry and birthplace have not been checked.

Are you sure they were made by Sikeliot? However I agree, the Raveane paper was a real disaster.

[Melki]

K13

Distance to: melki

6.44772828 South_Dutch
6.93191893 West_German
8.32063099 French
10.17009833 Austrian
11.46787687 East_German
11.54405042 Southeast_English
12.60951228 Southwest_English
12.68428555 North_German
13.35799760 Orcadian
13.81342101 North_Dutch
14.06644234 Danish
14.42682917 Irish
14.89206500 Spanish_Cataluna
15.12135576 West_Scottish
15.27100193 Hungarian
15.29597006 Southwest_French
15.75847074 Spanish_Galicia
15.94894040 Norwegian
16.17621402 Swedish
16.29085940 Spanish_Cantabria
16.35465071 Spanish_Castilla_Y_Leon
16.44137768 Portuguese
17.90568904 Spanish_Valencia
18.11328242 Spanish_Castilla_La_Mancha
18.18901042 Spanish_Extremadura

K15

Distance to: melki

6.39324644 South_Dutch
7.33485515 French
9.58031837 West_German
9.87521645 East_German
10.23397284 Southwest_English
11.29573371 North_German
11.92127510 Southeast_English
13.48524379 Austrian
13.49975555 North_Dutch
13.64503206 Irish
13.83593871 Danish
13.86657853 Spanish_Galicia
13.99258375 Spanish_Cataluna
14.37883862 Hungarian
14.60250663 West_Scottish
15.28278770 Portuguese
15.35407112 Spanish_Castilla_Y_Leon
15.82496445 Orcadian
16.04599639 Norwegian
16.45633617 Swedish
16.74241321 Spanish_Cantabria
16.98494922 Southwest_French
17.20741410 Spanish_Extremadura
17.22604133 Serbian
17.57121510 Spanish_Murcia

[DontFxxkWithWendy]

Someone not from this forum send me it. It is average of 20 or little more samples don't remember now.

Do you have the K13 results for the averaged Pennsylvania Dutch as well?

[smd555]

Why is there such a big discrepancy in admixture calculations between G25 and other calculators? For example: I decided to calculate the percentage of WHG, EHG and CHG in Bronze Age samples. I took Loschbour as WHG pattern, RUS_Samara_HG as EHG pattern, and KK1_Georgia_Kotias as CHG pattern. Analyzed sample - RUS_Srubnaya_Alakul.
In K13 component EHG is absent:

Target: mur003_Russia_Srubnaya_Alakul.SG_3734_ybp
Distance: 6.6203% / 6.62029564
79.0 Loschbour_Loschbour_Luxembourg_6000_BC
21.0 KK1_Georgia_Kotias.SG_9720_ybp

The same is in MDLP K16:

Target: Srubnaya
Distance: 13.8571% / 13.85714509
57.0 Luxembourg_Mesolithic
43.0 Kotias

But in G25 EHG component prevails:

Target: RUS_Srubnaya_Alakul_MLBA:mur003
Distance: 10.4590% / 0.10458963
45.0 RUS_Samara_HG
39.0 GEO_CHG
16.0 LUX_Loschbour



Why is it so?

[Leto]

New averages for Dodecad (credits to @Amon). Delete the old Palestinian (NOT Palestinian_Christian), Syrian and Lebanese.


Palestinian,10.56,0.37,5.76,0.15,13.25,1.89,0.65,4 .58,24.15,0.45,36.51,1.63
Lebanese_Muslim,12.64,0.17,3.82,0.3,14.77,3.6,0.74 ,2.19,20.65,0.16,40.46,0.47
Syrian_A,11.83,0.33,4.05,0.21,14.44,3.27,1.23,2.60 ,20.79,0.38,39.83,1.04
Syrian_B,15.65,0.34,3.52,0.20,13.75,4.80,1.31,2.25 ,17.73,1.28,37.85,1.35

[Aren]

New averages for Dodecad (credits to @Amon). Delete the old Palestinian (NOT Palestinian_Christian) and Lebanese.


Palestinian,10.56,0.37,5.76,0.15,13.25,1.89,0.65,4 .58,24.15,0.45,36.51,1.63
Lebanese_Muslim,12.64,0.17,3.82,0.3,14.77,3.6,0.74 ,2.19,20.65,0.16,40.46,0.47


Also add this


Lebanese_Christian,10.7,0,4.03,0.17,15.63,0.86,0.3 1,0.98,23.73,0.12,43.46,0

[Lucas]

Do you have the K13 results for the averaged Pennsylvania Dutch as well?

Maybe someone who sent me it, read it and will send it for K13.

[Aren]

Kurdish Jew, N=13


Kurdish_Jew,17.67,0.16,2.3,0.22,10.34,1.04,0.96,0. 38,21.72,0.07,45.13,0

Distance to: Kurdish_Jew
1.12187343 Iraqi_Jew
1.82057683 Iranian_Jew
3.17557869 Mandean
3.30331652 Assyrian_South
3.77049068 Azeri_Jew
3.90358809 Assyrian_West
3.92754376 Assyrian_North
4.43773591 Mountain_Jew_Chechnya
7.96421999 Armenian_West
8.68984465 Nusayri_Turkey
8.77953871 Georgia_Jews
8.93072226 Iraqi_Baghdad
8.96122759 Lebanese_Muslim
9.33982869 Lebanese_Christian
9.70520031 Syrian_A
10.35334728 Syrian_B
10.71498017 Palestinian_Christian
10.94196509 Armenian_East
10.94434100 Syria_SW_Christian
10.96573755 Turkmen_Iraq
11.60349947 Syrians
11.87118360 Turk_East
12.59842054 Zaza
12.85080931 Kurd_Sorani
12.96708525 Udi_Azerbaijan
13.13223807 Palestinian_Muslim

[Leto]

Mountain_Jew_Chechnya
It's incorrect, the average wasn't based specifically on samples from Chechnya. Waam made it and he never specified that. Lucas, remove "Chechnya" from the title, Mountain is enough.

[harutsafaryan07]

Updated East Armenian for MDLP K23b

Armenian_East,0.38,1.80,19.87,0.30,0.99,0.11,0.09, 47.24,0.13,0.07,0.09,9.10,0.03,0.44,0.13,13.33,2.8 8,0.29,0.03,0.07,0.01,0,2.45

[Leto]

Lukasz, please add these to Dodecad besides what's in my last message

made by Amon


Turk_Cyprus,8.76,0.58,3.06,0.28,18.92,7.35,0.47,1. 77,15.8,1.12,40.51,1.23


An alternative Lak average, I don't know which one is better and no one else does either


Lak2,25.90,2.40,0.04,0.39,4.76,24.19,0.98,0.11,2.9 4,0.26,38.02,0

[Amon]

New Turkish Cypriot average (N=45) for Eurogenes K13


Turk_Cyprus,8.61,6.32,17.83,20.46,33.96,6.32,1.13, 1.48,1.17,0.38,0.03,1.57,0.73

[Mingle]

Updated East Armenian for MDLP K23b



Armenian_East,0.38,1.80,19.87,0.30,0.99,0.11,0.09, 47.24,0.13,0.07,0.09,9.10,0.03,0.44,0.13,13.33,2.8 8,0.29,0.03,0.07,0.01,0,2.45




New Turkish Cypriot average (N=45) for Eurogenes K13




Turk_Cyprus,8.61,6.32,17.83,20.46,33.96,6.32,1.13, 1.48,1.17,0.38,0.03,1.57,0.73

Do you think you guys could make some West Asian averages for HarappaWorld? It has almost the same components as K12b so is on par with it and one of the best calcs for Asians, so it'd be nice to have some more averages for it.

[Amon]

Do you think you guys could make some West Asian averages for HarappaWorld? It has almost the same components as K12b so is on par with it and one of the best calcs for Asians, so it'd be nice to have some more averages for it.

Sure, but let me have a certain amount of time.

[Leto]

I'm not gonna bother with HarappaWorld, Dodecad is enough for me.

[Leto]

What we do need is new averages from major East Asian countries (Han Chinese, Japanese, Korean, Vietnamese) for Dodecad. The original references are terribly inaccurate in most cases. I'm going to ask Maguzanci since he claims he is an Asian himself. Others are welcome to contribute as well.

[Amon]

What we do need is new averages from major East Asian countries (Han Chinese, Japanese, Korean, Vietnamese) for Dodecad.

Hui/Dungan (N=10)


Hui1,2.86,4.47,0.042,23.7,0.001,0.677,1.31,0.001,0 .009,65.1,1.22,0.614
Hui2,3.15,6.28,0.001,23.9,0.001,2.84,0.001,0.001,0 .374,59.2,3.51,0.656
Hui3,4.56,7.67,0.897,21,1.08,3.59,0.734,0.245,0.02 ,57.8,2.24,0.177
Hui4,2.71,7.55,0.001,23.5,1.43,4.58,0.001,0.001,0. 906,58.9,0.228,0.178
Hui5,2,6.1,0.001,33.9,0.001,1.74,1.02,0.016,0.907, 52.8,1.19,0.392
Hui6,4.03,6.8,0.01,24.1,0.265,3.57,1.03,0.364,0.00 1,57.3,2.21,0.282
Hui7,1.57,6.69,0,22.71,0.68,1.87,1.81,0.2,0,62.51, 1.96,0
Hui8,1.92,8.31,0.001,22.6,0.211,3.99,1.77,0.467,0. 528,56.9,3.21,0.092
Hui9,2.32,5.75,0.001,29.4,0.546,1.99,0.001,0.001,0 .001,57.6,2.17,0.215
Hui10,3.15,6.28,0.001,23.9,0.001,2.84,0.001,0.001, 0.374,59.2,3.51,0.656

Avg: Dungan,2.83,6.59,0.09,24.87,0.42,2.77,0.77,0.13,0. 31,58.73,2.16,0.33

Distance to: Hui
8.29750565 Naxi
8.66563904 Yizu
10.93998172 Tu
14.85397590 Chinese
15.95633417 Mongola

Target: Hui
Distance: 2.0647% / 2.06474433 | ADC: 0.25x
71.6 Naxi
10.6 Tu
6.8 Kazakh
5.8 Tujia
3.2 Lak
1.8 Uyghur
0.2 Bashkir

[Leto]

Hui/Dungan (N=10)


Hui1,2.86,4.47,0.042,23.7,0.001,0.677,1.31,0.001,0 .009,65.1,1.22,0.614
Hui2,3.15,6.28,0.001,23.9,0.001,2.84,0.001,0.001,0 .374,59.2,3.51,0.656
Hui3,4.56,7.67,0.897,21,1.08,3.59,0.734,0.245,0.02 ,57.8,2.24,0.177
Hui4,2.71,7.55,0.001,23.5,1.43,4.58,0.001,0.001,0. 906,58.9,0.228,0.178
Hui5,2,6.1,0.001,33.9,0.001,1.74,1.02,0.016,0.907, 52.8,1.19,0.392
Hui6,4.03,6.8,0.01,24.1,0.265,3.57,1.03,0.364,0.00 1,57.3,2.21,0.282
Hui7,1.57,6.69,0,22.71,0.68,1.87,1.81,0.2,0,62.51, 1.96,0
Hui8,1.92,8.31,0.001,22.6,0.211,3.99,1.77,0.467,0. 528,56.9,3.21,0.092
Hui9,2.32,5.75,0.001,29.4,0.546,1.99,0.001,0.001,0 .001,57.6,2.17,0.215
Hui10,3.15,6.28,0.001,23.9,0.001,2.84,0.001,0.001, 0.374,59.2,3.51,0.656

Avg: Dungan,2.83,6.59,0.09,24.87,0.42,2.77,0.77,0.13,0. 31,58.73,2.16,0.33

Distance to: Hui
8.29750565 Naxi
8.66563904 Yizu
10.93998172 Tu
14.85397590 Chinese
15.95633417 Mongola

Target: Hui
Distance: 2.0647% / 2.06474433 | ADC: 0.25x
71.6 Naxi
10.6 Tu
6.8 Kazakh
5.8 Tujia
3.2 Lak
1.8 Uyghur
0.2 Bashkir
Wait a minute, the Hui are not 99-100% East Asian? I believe in China it's just an ethnoreligious community, they look Chinese and speak Mandarin.

[Dr_Maul]

Wait a minute, the Hui are not 99-100% East Asian? I believe in China it's just an ethnoreligious community, they look Chinese and speak Mandarin.

They are supposedly of Silk Road (Iranic+Turkic, mainly Sogdian) descent as well but its likely heavily diluted by now

[Amon]

Wait a minute, the Hui are not 99-100% East Asian? I believe in China it's just an ethnoreligious community, they look Chinese and speak Mandarin.

A third of their Y-DNA lineages are of steppe/MENA/south-Asian origin. Dungan along with Turkic Salars, Mongolic Dongxiang and Bonan have legit western ancestry.

[Leto]

They are supposedly of Silk Road (Iranic+Turkic, mainly Sogdian) descent as well but its likely heavily diluted by now


A third of their Y-DNA lineages are of steppe/MENA/south-Asian origin. Dungan along with Turkic Salars, Mongolic Dongxiang and Bonan have legit western ancestry.
I see. Prolly the ones in the Stan countries have more of that than the PRC ones. The former also weirdly write in Cyrilic even though it's a Sinitic language.

[Amon]

I see. Prolly the ones in the Stan countries have more of that than the PRC ones. The former also weirdly write in Cyrilic even though it's a Sinitic language.

There's no data on Central Asian Dungans. The owners of these kits are from NE China (viz. Beijing, Jiangsu, Shandong and other provinces). Those residing in Gansu, Qinghai and Ningxia will be more interesting, IMO (cause of their proximity to the Silk Road).

[Leto]

There's no data on Central Asian Dungans. The owners of these kits are from NE China (viz. Beijing, Jiangsu, Shandong and other provinces). Those residing in Gansu, Qinghai and Ningxia will be more interesting, IMO (cause of their proximity to the Silk Road).
So the average is 90.2% Mongoloid (58.73% East Asian, 24.87% Southeast Asian, 6.59% Siberian). I wouldn't have expected it to be that "low". I was thinking of 95-100% (maybe with very distant West Eurasian from those who introduced Islam to the region).

Do Han, Japanese, Korean and Vietnamese if you can. Those groups are fairly homogenous and don't require a whole lot of samples. 10 per each group would be fine. I still don't know if Maguzanci is interested.

[Amon]

10 Japanese kits



J1,0,4.73,0,10.38,0,0,0.7,0.01,0,84.18,0,0
J2,0,5.81,0,9.97,0,0,0,0,0,84.19,0,0
J3,0,4.38,0,9.56,0,0,0.78,0,0,85.24,0,0
J4,0,4.31,0,10.07,0,0,0.37,0,0,85.19,0,0.05
J5,0,5.34,0.12,15.43,0,0,0,0,0,78.91,0,0.21
J6,0,1.85,0.08,4.11,0,0,6.6,0,0,87.35,0,0
J7,0,4.14,0.60,14.93,0,0,0,0,0.57,79.76,0,0
J8,0,1.95,0,6.41,0,0,5.7,0,0,85.95,0,0
J9,0,4.66,0,9.08,0,0,1.35,0,0,84.9,0,0
J10,0,3.31,0.26,12.3,0,0,0,0,0,84.12,0,0

Avg: Japanese,0,4.05,0.1,10.23,0,0,1.55,0.00,0.06,83.99 ,0,0.02

Distance to: Japanese
3.47620483 Korean
13.71986152 Naga
19.76139165 Tu
20.65246232 Xibo
22.79960526 Mongola
24.33039252 Chinese

Target: Japanese
Distance: 1.5115% / 1.51154055
84.6 Korean
9.8 Naga
5.6 Daur

[Amon]

Do Han, Japanese, Korean and Vietnamese if you can.

The Korean avg is pretty good IMO.

[Leto]

The Korean avg is pretty good IMO.
Do actual Koreans get Korean as their first pop with a small distance? If they don't, it's no good.

Also, 1.55% South Asian for Japan sounds doubtful.

[Amon]

Do actual Koreans get Korean as their first pop with a small distance? If they don't, it's no good.

Also, 1.55% South Asian for Japan sounds doubtful.

I can make a new avg for the Japs excluding the outliers - with likely Ainu ancestry - that's giving them SA. What say you?

I'll look into more Korean kits. Have you any?

[Leto]

I can make a new avg for the Japs excluding the outliers - with likely Ainu ancestry - that's giving them SA. What say you?

I'll look into more Korean kits. Have you any?
Yeah, I think most Japs don't have that, so I suggest you remove that outlier.

I haven't collected East Asian kits on purpose. Some occasional ones here and there.

[Amon]

Yeah, I think most Japs don't have that, so I suggest you remove that outlier.

New avg after excluding two outliers J6 and J8: Japanese,0,4.58,0.12,11.47,0,0,0.4,0.00,0.07,83.31 ,0,0.03

Distance to: Japanese
4.02313311 Korean
12.68279149 Naga
18.66732975 Tu
19.73086415 Xibo
21.73806799 Mongola
23.00038261 Chinese

Target: Japanese
Distance: 0.3378% / 0.33781019 | ADC: 0.25x
79.8 Korean
10.6 Naga
9.6 Xibo

[J. Ketch]

This should be my last update of England and Wales K13/K15 for a while. Also made new averages for Connacht and Ulster, and a national average for England from all my references, which can replace the ones that are already there if you want (pretty sure it's more accurate).

K13

refs:

English - 231 (from North, Midlands and South)
English_North - 85
English_Midlands - 71
English_Southeast - 41
Irish_Munster - 38
Ulster_British - 27
Irish_Connacht - 21
Irish_Ulster - 21



English,49.92,23.49,13.55,5.65,3.78,0.70,1.08,0.14 ,0.26,0.55,0.41,0.22,0.19
English_Midlands,49.73,23.34,13.70,5.59,4.17,0.70, 1.00,0.19,0.25,0.49,0.37,0.23,0.18
English_North,50.47,23.89,13.16,5.68,3.22,0.66,1.0 7,0.09,0.29,0.62,0.41,0.17,0.20
English_Southeast,49.15,23.27,13.63,5.91,4.21,0.76 ,1.11,0.17,0.27,0.56,0.44,0.26,0.19
Irish_Connacht,52.82,23.41,11.97,7.10,0.94,0.21,1. 55,0.11,0.30,0.88,0.24,0.23,0.11
Irish_Munster,52.71,22.98,12.26,6.93,1.52,0.35,1.3 6,0.21,0.30,0.77,0.23,0.14,0.17
Irish_Ulster,53.28,22.32,12.60,7.05,0.84,0.56,1.49 ,0.10,0.32,0.88,0.32,0.05,0.14
Ulster_British,51.30,23.24,13.14,7.00,1.73,0.58,1. 22,0.05,0.17,0.75,0.53,0.11,0.09

K15

refs:

English - 235
English_North - 86
English_Midlands - 71
Irish_Munster - 45
English_Southeast - 44
Welsh - 35
Ulster_British - 27
Irish_Connacht - 25
Irish_Ulster - 22



English,36.13,28.23,10.12,8.75,9.42,3.75,1.30,0.48 ,0.72,0.05,0.09,0.30,0.24,0.17,0.13
English_Midlands,36.14,28.03,10.01,8.68,9.50,3.82, 1.49,0.56,0.66,0.06,0.07,0.26,0.20,0.18,0.13
English_North,36.62,28.38,10.27,8.93,9.02,3.63,0.9 5,0.40,0.70,0.03,0.11,0.34,0.26,0.15,0.13
English_Southeast,35.43,27.99,10.05,8.83,9.53,4.12 ,1.65,0.52,0.74,0.07,0.11,0.31,0.26,0.17,0.14
Irish_Connacht,37.84,30.38,9.02,9.26,7.24,3.80,0.0 8,0.08,1.04,0.04,0.12,0.68,0.14,0.12,0.07
Irish_Munster,37.12,30.05,9.80,8.52,7.53,4.57,0.20 ,0.17,0.91,0.08,0.16,0.48,0.14,0.07,0.12
Irish_Ulster,36.62,31.10,9.06,8.71,7.60,4.46,0.04, 0.28,1.11,0.06,0.09,0.58,0.14,0.03,0.03
Ulster_British,37.69,28.74,9.10,9.21,8.30,4.48,0.3 8,0.30,0.80,0.03,0.05,0.44,0.29,0.03,0.06
Welsh,36.79,29.22,9.77,9.00,9.06,4.02,0.24,0.17,0. 63,0.02,0.16,0.36,0.28,0.13,0.05 - ignore


Could you also remove the duplicate 'Southeast_English' average in K15 Lucas, seeing as it's already been removed from K13? Thanks.

[Dunai]

This should be my last update of England and Wales K13/K15 for a while. Also made new averages for Connacht and Ulster, and a national average for England from all my references, which can replace the ones that are already there if you want (pretty sure it's more accurate).

K13

refs:

English - 231 (from North, Midlands and South)
English_North - 85
English_Midlands - 71
English_Southeast - 41
Irish_Munster - 38
Ulster_British - 27
Irish_Connacht - 21
Irish_Ulster - 21



English,49.92,23.49,13.55,5.65,3.78,0.70,1.08,0.14 ,0.26,0.55,0.41,0.22,0.19
English_Midlands,49.73,23.34,13.70,5.59,4.17,0.70, 1.00,0.19,0.25,0.49,0.37,0.23,0.18
English_North,50.47,23.89,13.16,5.68,3.22,0.66,1.0 7,0.09,0.29,0.62,0.41,0.17,0.20
English_Southeast,49.15,23.27,13.63,5.91,4.21,0.76 ,1.11,0.17,0.27,0.56,0.44,0.26,0.19
Irish_Connacht,52.82,23.41,11.97,7.10,0.94,0.21,1. 55,0.11,0.30,0.88,0.24,0.23,0.11
Irish_Munster,52.71,22.98,12.26,6.93,1.52,0.35,1.3 6,0.21,0.30,0.77,0.23,0.14,0.17
Irish_Ulster,53.28,22.32,12.60,7.05,0.84,0.56,1.49 ,0.10,0.32,0.88,0.32,0.05,0.14
Ulster_British,51.30,23.24,13.14,7.00,1.73,0.58,1. 22,0.05,0.17,0.75,0.53,0.11,0.09

K15

refs:

English - 235
English_North - 86
English_Midlands - 71
Irish_Munster - 45
English_Southeast - 44
Welsh - 35
Ulster_British - 27
Irish_Connacht - 25
Irish_Ulster - 22



English,36.13,28.23,10.12,8.75,9.42,3.75,1.30,0.48 ,0.72,0.05,0.09,0.30,0.24,0.17,0.13
English_Midlands,36.14,28.03,10.01,8.68,9.50,3.82, 1.49,0.56,0.66,0.06,0.07,0.26,0.20,0.18,0.13
English_North,36.62,28.38,10.27,8.93,9.02,3.63,0.9 5,0.40,0.70,0.03,0.11,0.34,0.26,0.15,0.13
English_Southeast,35.43,27.99,10.05,8.83,9.53,4.12 ,1.65,0.52,0.74,0.07,0.11,0.31,0.26,0.17,0.14
Irish_Connacht,37.84,30.38,9.02,9.26,7.24,3.80,0.0 8,0.08,1.04,0.04,0.12,0.68,0.14,0.12,0.07
Irish_Munster,37.12,30.05,9.80,8.52,7.53,4.57,0.20 ,0.17,0.91,0.08,0.16,0.48,0.14,0.07,0.12
Irish_Ulster,36.62,31.10,9.06,8.71,7.60,4.46,0.04, 0.28,1.11,0.06,0.09,0.58,0.14,0.03,0.03
Ulster_British,37.69,28.74,9.10,9.21,8.30,4.48,0.3 8,0.30,0.80,0.03,0.05,0.44,0.29,0.03,0.06
Welsh,36.79,29.22,9.77,9.00,9.06,4.02,0.24,0.17,0. 63,0.02,0.16,0.36,0.28,0.13,0.05

Could you also remove the duplicate 'Southeast_English' average in K15 Lucas, seeing as it's already been removed from K13? Thanks.

You also seem to have quite many samples for making a new Irish average.

[J. Ketch]

My British Isles averages marked in red:

K13
https://i.postimg.cc/GbZvHcWB/k13updatedoct18.png

K15
https://i.postimg.cc/vQF6G0nf/k15updatedoct18.png

I think they look pretty logical. I suspect the Southwest_English average on Gedmatch is Cornish.

[J. Ketch]

You also seem to have quite many samples for making a new Irish average.
I do, however they're too biased towards Munster, and Western Ireland generally. I have the least references from Leinster, which has the largest population.

[J. Ketch]

Actually scratch the last one, this will be my last update for Wales K15, probably forever. Now based on 57 refs, with academic samples added, courtesy of Peterski.


Welsh,36.42,28.89,9.89,8.65,9.24,4.15,0.70,0.36,0. 62,0.06,0.13,0.31,0.21,0.19,0.07

[Maguzanci]

What we do need is new averages from major East Asian countries (Han Chinese, Japanese, Korean, Vietnamese) for Dodecad. The original references are terribly inaccurate in most cases. I'm going to ask Maguzanci since he claims he is an Asian himself. Others are welcome to contribute as well.

I can help you with the new averages for East Asian countries. Although I will have to look for more kits as most of my gedmatch data is rather of SE Asians.

If you don't mind, I will post some averages for SE Asians first.

Also how many number of samples do you want for each country?

[Leto]

I can help you with the new averages for East Asian countries. Although I will have to look for more kits as most of my gedmatch data is rather of SE Asians.

If you don't mind, I will post some averages for SE Asians first.

Also how many number of samples do you want for each country?
Thank you, that's great. Yeah, SE Asia is fine too, I just don't know much about them. Burmese, Cambodian, Lao, Malay, Filipino would be good.
I'd say at least 10 samples per group/country and preferably without possibly mixed individuals or blatant outliers.

[Maguzanci]

Thank you, that's great. Yeah, SE Asia is fine too, I just don't know much about them. Burmese, Cambodian, Lao, Malay, Filipino would be good.
I'd say at least 10 samples per group/country and preferably without possibly mixed individuals or blatant outliers.

Here are Indonesians from Western part of the archipelago (from Jakarta, other parts of Java and Sumatra- unfortunately cannot find Balinese or Madurese samples). I'm not sure about their ethnic groups so that is the reason I labelled them as Western Indonesians. I will also do the ones for Central Indonesia (Sulawesi) and Eastern Indonesia (Maluku, East Nusa Tenggara) if possible.

Western Indonesians (from Jakarta, other parts of Java and Sumatra), N=17



Western_Indonesian_1,3.15,0,0.36,57.78,0.23,0.79,1 0.5,0,0.33,26.86,0,0
Western_Indonesian_2,3.83,0.9,0,63.42,0.15,1.63,14 .00,0.52,0.4,15.14,0,0
Western_Indonesian_3,2.3,0.66,0.18,68.59,0,1.35,16 .14,0,0,10.77,0,0
Western_Indonesian_4,4.94,0,0,56.25,0,0.09,18.84,0 .26,1.78,17.40,0,0.46
Western_Indonesian_5,5.41,0,0.6,60.35,0,1.43,16.69 ,0,0,15.14,0.38,0
Western_Indonesian_6,2.29,0,0,66.46,0.64,0,11.24,0 .19,0.44,17.13,1.10,0.51
Western_Indonesian_7,2.92,1.56,0,65.10,0,2.03,16.1 6,0,0,11.85,0.30,0.08
Western_Indonesian_8,3.82,0.85,0,61.72,0.66,3.18,1 9.48,0.53,0.91,6.67,2.16,0
Western_Indonesian_9,7.3,0,0.87,59.82,0,0.86,18.33 ,0.05,0,12.31,0.44,0
Western_Indonesian_10,4.87,0,0,59.35,0,1.00,17.98, 0.97,0.67,13.60,1.55,0
Western_Indonesian_11,5.82,0,0.32,57.67,0.36,1.76, 16.2,0.47,0,15.84,1.49,0.07
Western_Indonesian_12,4.65,0.51,0,63.33,0,0.97,16. 57,0,0.40,12.13,1.41,0
Western_Indonesian_13,4.62,0,0.09,61.79,0.09,0,15. 32,0,0.30,14.69,3.08,0
Western_Indonesian_14,5.62,0.63,0,62.60,0,1.61,20. 75,0.18,0,6.42,1.98,0.2
Western_Indonesian_15,1.12,1.48,0.63,67.62,0,0.07, 16.44,0.13,0.57,10.96,0.92,0.07
Western_Indonesian_16,2.79,0.87,0,65.73,0,0,15.72, 0.07,0.15,13.87,0.80,0
Western_Indonesian_17,1.36,0.92,0.49,71.82,0,0,13. 63,0.21,0,11.58,0,0

[Leto]

Here are Indonesians from Western part of the archipelago (from Jakarta, other parts of Java and Sumatra- unfortunately cannot find Balinese or Madurese samples). I'm not sure about their ethnic groups so that is the reason I labelled them as Western Indonesians. I will also do the ones for Central Indonesia (Sulawesi) and Eastern Indonesia (Maluku, East Nusa Tenggara) if possible.

Western Indonesians (from Jakarta, other parts of Java and Sumatra), N=17

Cool. And the average?

[Amon]

New averages for Dodecad K12b


Dungan,2.83,6.59,0.09,24.87,0.42,2.77,0.77,0.13,0. 31,58.73,2.16,0.33
Han_north,0.5,5.79,0,25.76,0.09,0.06,0,0.05,0.03,6 7.38,0.27,0.07
Han_central,0.1,1.19,0.01,41.27,0.04,0.21,0,0,0,57 .18,0,0
Japanese,0,4.58,0.12,11.47,0,0,0.4,0.00,0.07,83.31 ,0,0.03
Nogai_Astrakhan,10.43,22.12,0.04,3.15,7.04,19.16,2 .67,0.03,1.41,23.91,10.02,0
Saudi,6.64,0.18,3.92,0.24,5.74,0.43,1.26,3.65,50.0 1,0.13,27.52,0.26
Egyptian,4.75,0.22,9.52,0.12,12.8,0.516,0.42,9.61, 25.58,0.18,31.62,4.57
Coptic,1.95,0,10.72,0.20,11.82,0,0.03,9.88,31.32,0 ,33.88,0.18
Yemenite_Mahra,1.62,0.14,5.83,0.66,7.22,0,0.59,4.8 7,49.81,0.17,29.62,0
Yemenite_mixed,5.38,0.01,4.27,1.28,5.29,0.58,2.55, 11.24,33.87,1.2,21.73,12.6

[Leto]

New averages for Dodecad K12b
Is Yemenite_Jewish from Dodecad okay?

[Lucas]

All updates from last few pages added.

[Lucas]

Cool. And the average?

I made and added average too.

[Amon]

Is Yemenite_Jewish from Dodecad okay?

This avg.'s Gedrosia and Mediterranean is kinda low and SW Asian is a lil higher. Gedrosia should have been around 1.5, Mediterranean around 6-6.5 and SW Asian around 50.

[Leto]

This avg.'s Gedrosia and Mediterranean is kinda low and SW Asian is a lil higher. Gedrosia should have been around 1.5, Mediterranean around 6-6.5 and SW Asian around 50.
Yeah, dat's what I was thinkin' as well. :) But I got no data on them.

[Maguzanci]

Cool. And the average?

Here is the average
Western Indonesian: 3.93,0.49,0.21,62.90,0.12,0.99,16.12,0.22,0.35,13. 67,0.92,0.08

Distance to: Western_Indonesian
10.35946910 PANIYA (these samples are mislabelled, they seem to be SE Asian and not South Asian)
19.20949245 Lahu
20.78414299 Vietnamese
22.07255083 Malay_Singapore
23.99380337 Cambodians
26.36972886 Dai
31.17905547 Khasi
33.95818900 Burmanese
36.96647941 Garo
41.41437673 Miaozu
43.89232963 She

Here is my model of the Western_Indonesian average: Bonda (an Austroasiatic tribe from Eastern India) represented the South Asian ancestry in Indonesians as they are mostly AASI. Didn't use the mainstream South Asians because it could hide the West Eurasian admix of the Indoensian samples. Brahui+Iranian Mazandaran+Lithuanian is utilized to represent the West Eurasian admix in Indonesians (seems mostly Iran_N related due to Brahui with minor Steppe affinity represented by Lithuanian). Shows noise amounts of West African (Yoruba). Dai+Vietnamese is used to represent the predominant Mongoloid ancestry of Indos. Surprisingly shows minor Chinese-like admix (Han_Central) but could actually be an Taiwan_Aborigine/Austronesian signal instead as there are no Austronesian samples in this calculator. Sorry for the lenghty sentences; just my analysis.

Target: Western_Indonesian
Distance: 0.7471% / 0.74706758
63.4 Dai
23.0 Bonda
5.8 Han_central
4.6 Brahui
2.0 Iran_Mazandaran
1.2 Lithuanian

I will later do some samples from Sulawesi and Eastern Indonesia (Maluku, Sumba). It will be difficult for the Eastern Indonesian samples though as this calculator lacks the Oceanian/Papuan component (Eastern Indos have very high Oceanian), therefore the results might be misleading. But if you want them also, I can do it.

[Maguzanci]

All updates from last few pages added.

Can you edited the Western_Indonesian average please? I decided to add one more sample.


Western_Indonesian,3.93,0.49,0.21,62.90,0.12,0.99, 16.12,0.22,0.35,13.67,0.92,0.08

[Leto]

Here is the average
Western Indonesian: 3.93,0.49,0.21,62.90,0.12,0.99,16.12,0.22,0.35,13. 67,0.92,0.08

Closest pops
Distance to: Western_Indonesian
10.35946910 PANIYA (looks like it is mislabelled. Its actually a SE Asian population, not South Asian).
19.20949245 Lahu
20.78414299 KHV30
22.07255083 MAS30
23.99380337 Cambodians
25.38024035 CDX30
26.36972886 Dai
31.17905547 Khasi
33.95818900 Burmanese
36.96647941 Garo
41.41437673 Miaozu

Here is my model of the Western_Indonesian average: Bonda (an Austroasiatic tribe from Eastern India) represented the South Asian ancestry in Indonesians as they are mostly AASI. Didn't use the mainstream South Asians because it could hide the West Eurasian admix of the Indoensian samples. Brahui+Iranian Mazandaran+Lithuanian is utilized to represent the West Eurasian admix in Indonesians (seems mostly Iran_N related due to Brahui with minor Steppe affinity represented by Lithuanian). Shows noise amounts of West African (Yoruba). Dai+Vietnamese is used to represent the predominant Mongoloid ancestry of Indos. Surprisingly shows minor Chinese admix (Han_Central). Sorry for the lenghty sentences; just my analysis.

Target: Western_Indonesian
Distance: 0.7689% / 0.76887318
50.4 Dai
22.4 Bonda
17.0 Vietnamese
4.6 Brahui
2.2 Han_central
2.0 Iran_Mazandaran
1.2 Lithuanian
0.2 Yoruba

I will later do some samples from Sulawesi and Eastern Indonesia (Maluku, Sumba). It will be difficult for the Eastern Indonesian samples though as this calculator lacks the Oceanian/Papuan component (Eastern Indos have very high Oceanian), therefore the results might be misleading. But if you want them also, I can do it.
Well, we probably do not need such a detailed division for Southeast Asia on Dodecad. I'd say 3-4 major groups would be enough. Also make sure to overhaul the existing pops, some of them may be seriously inaccurate. As you pointed out, Dodecad lacks certain components necessary for that region (just like it lacks Amerindian).

[Maguzanci]

Well, we probably do not need such a detailed division for Southeast Asia on Dodecad. I'd say 3-4 major groups would be enough. Also make sure to overhaul the existing pops, some of them may be seriously inaccurate. As you pointed out, Dodecad lacks certain components necessary for that region (just like it lacks Amerindian).

Alright. What does overhaul mean?

Yup it lack necessary components. Even though it lacks Amerindian, I feel it can gives sort of glimpse of how much East Eurasian and West Eurasian ancestries Native Americans do have.

For example, Anzick, a Paleo-Indian individual from North America. The North Euro+Gedrosia suggest ANE-related West Eurasian ancestry. While the Siberian+East Asian+SE Asian suggests East Eurasian ancestry or even some Onge/Australoid-like affinity (in SE Asian component). Not sure about South Asian but is probably ANE or (Onge-related afifnity) as well.

Admix Results (sorted):

# Population Percent
1 Siberian 33.5
2 East_Asian 29.08
3 North_European 17.79
4 Gedrosia 7.82
5 Southeast_Asian 6.33
6 South_Asian 4.42
7 Sub_Saharan 1.07

But anyway still take it will a grain of salt.

[Lucas]

@MAzgunaci
Done

=-==========

I found on my computer some Polish averages for K23b based on Gedmatch kits (made by Michał from Anthrogenica).
Why not to add them to http://vahaduo.genetics.ovh/mdlp_k23b-updated-vahaduo.htm


Masovia - 18 kits
Kashubian - 8 kits
South Poland - 24 kits

Now my results are better:

Target: Luk
Distance: 1.5813% / 1.58130667 | ADC: 0.25x
70.0 PL_Masovian
21.2 Russian_Meshtchyora
6.6 PL_Kashubian
2.2 BedouinB

Target: Luk
Distance: 1.1083% / 1.10831508
65.2 PL_Masovian
13.6 Latvian
13.6 PL_Kashubian
3.0 BedouinB
2.2 Dargin_Urkarah
1.4 Udmurd
0.8 Frisian
0.2 Pygmy


without Polish averages it was disaster

Target: Luk
Distance: 1.9697% / 1.96966173 | ADC: 0.25x
46.2 Kashub (original, rather strange reference)
25.0 Ukrainian_Center
14.8 Russian-West
11.2 Russian-Upper-Volga
2.0 BedouinB
0.8 Russian_Meshtchyora

Target: Luk
Distance: 1.5198% / 1.51977394
39.0 Latvian
28.8 Ukrainian_Center
15.6 Frisian
7.2 Pole
4.2 Greek_Phokaia
2.0 BedouinB
1.8 Udmurd
1.2 Georgian_Svan
0.2 Pygmy

[Leto]

Alright. What does overhaul mean?

To revise, to revisit. I mean check if they are correct or realistic. We've had to delete many of them because they were completely impossible to be like real people. The calculator effect.

[Maguzanci]

To revise, to revisit. I mean check if they are correct or realistic. We've had to delete many of them because they were completely impossible to be like real people. The calculator effect.

Ok I can check and scrutinize them. But I cannot delete them though. I will have to tell you and Lukasz?

Forget to ask when making averages, its not good to use family members or relatives as the samples right?

[Leto]

Ok I can check and scrutinize them. But I cannot delete them though. I will have to tell you and Lukasz?

Forget to ask when making averages, its not good to use family members or relatives as the samples right?
Yeah, just leave a message on this thread or submit the averages to him directly.

I would avoid immediate family members like parents/children/siblings. More distant ones are okay.

[Ajeje Brazorf]

Could someone make a spreadsheet of ancient samples, but with HarappaWorld? I did what I could, but I don't have access to many kits... :/


Bell_Beaker_FRA_lowSteppe:I1392,0,0,12.87,21.03,0, 0,0.21,0,0,0,58.43,7.31,0,0,0,0.16
Bell_Beaker_POL:I4253,0,11.73,13.21,44.41,0,0.96,0 ,0.64,1.21,0,27.46,0,0.37,0,0,0
Corded_Ware_Proto-Unetice_POL:RISE431,0,9.32,3.94,52.68,0,0,0,0,3.34 ,0,25.71,0,1.51,1.91,0,1.59
CZE_Hallstatt_Bylany:DA111,0.43,6.25,6.97,44.74,0, 0,0,0,0.29,0,38.88,0.96,0,0,0,1.48
CZE_Hallstatt_Bylany:DA112,0,4.87,10.51,47.06,0.45 ,0.54,0.65,0,1.74,0,33.15,0.05,0.14,0,0,0.84
DEU_Roman:FN_2,0,3.14,12.39,37.76,0.38,0,0,0,0,0,4 2.00,3.45,0,0,0,0.87
EGY_Late_Period:JK2911,0.19,0.48,38.56,0,0,0,0,0,0 ,0.14,19.41,38.59,0,2.62,0,0
England_LBA:I5383,0.87,14.35,4.57,48.21,0,0,0,0.27 ,1.03,1.80,28.68,0.09,0,0.13,0,0
England_MBA:I2458,0,12.11,6.45,46.59,0,0.83,0,0.49 ,0,0.19,32.75,0,0,0,0,0.59
England_MBA:I3082,2.75,10.41,4.42,48.12,0.24,0,0,0 ,0.55,0,32.72,0,0,0,0,0.80
ETH_4500BP:mota,1.60,1.29,0,0.72,0,0.46,0.37,0.99, 1.23,0,0,1.90,17.17,52.34,10.79,11.16
GRC_Mycenaean:I9006,0,2.33,44.13,10.51,0,0,0,0.34, 0,1.26,28.05,12.75,0.64,0,0,0
GRC_Mycenaean:I9010,0.38,0.60,38.24,10.83,0.60,0,0 ,0.21,0,0.60,33.68,14.35,0.51,0,0,0
GRC_Mycenaean:I9033,3.47,4.13,33.27,14.12,0,0,1.16 ,0,0,0,33.85,7.62,0.33,0,0.36,1.70
GRC_Mycenaean:I9041,0,5.21,38.39,12.20,0,0,0.06,0. 32,0,0,32.61,11.21,0,0,0,0
HUN_Avar_Szolad:Av1,0.61,7.74,10.75,53.59,0,0.93,0 ,0,0.65,0,22.77,2.70,0.23,0,0,0
HUN_Avar_Szolad:Av2,0,7.85,8.56,59.15,0,1.22,0,0,0 .56,0.33,20.45,1.33,0.13,0,0,0.40
HUN_MA:DA199,0,8.05,13.68,37.67,0,1.62,1.10,1.50,0 ,0.72,29.46,5.54,0.06,0,0,0.60
HUN_MA_Szolad:SZ2,0,9.74,4.41,58.43,0,0,0,0.26,0,0 .32,25.60,0,0,0,0,1.23
HUN_MA_Szolad:SZ3,0.27,8.44,11.73,45.06,0.37,0,0,0 ,0.29,0,31.04,2.08,0.41,0,0,0.31
HUN_MA_Szolad:SZ4,0,9.49,5.51,55.62,0,0.68,0,0.64, 0,0.27,26.67,0.52,0,0,0,0.61
HUN_MA_Szolad:SZ5,0.64,7.42,13.93,43.68,0,0.23,0,0 .91,0.87,0.59,28.60,2.87,0,0.09,0,0.17
HUN_MA_Szolad:SZ7,0,8.37,6.27,54.55,0,0,0,0.13,1.2 9,0,26.18,2.82,0.19,0,0,0.19
HUN_MA_Szolad:SZ8,0,7.92,11.68,45.92,0,0,0,0.60,0, 0,33.18,0,0.69,0,0,0
HUN_MA_Szolad:SZ9,1.44,11.34,1.58,58.08,0,0,0,0,0, 0,27.04,0,0,0,0,0.52
HUN_MA_Szolad:SZ11,0,9.95,9.95,52.45,0.08,0,0.51,0 ,0,0,26.27,0,0,0,0,0.77
HUN_MA_Szolad:SZ12,0.19,8.17,10.38,51.77,0,0,0,0.9 8,0.45,0,27.22,0.44,0,0.22,0,0.18
HUN_MA_Szolad:SZ13,0,9.62,7.64,54.06,0,0,0,0,1.39, 0,27.01,0,0,0,0,0.23
HUN_MA_Szolad:SZ14,0.26,10.51,9.37,48.41,0.78,0,0, 0.11,0.42,0.26,26.80,2.54,0,0,0,0.54
HUN_MA_Szolad:SZ15,0.41,10.09,6.27,52.51,0.91,1.09 ,0,0.41,0.17,0,26.86,0.87,0,0,0,0.41
HUN_MA_Szolad:SZ16,0,10.92,2.26,57.40,0,1.39,0,0,0 ,0,27.73,0,0,0,0,0.30
HUN_MA_Szolad:SZ18,0,8.05,15.53,39.06,0,0.31,0,0,0 .25,0.97,29.72,5.66,0.39,0,0,0.06
HUN_MA_Szolad:SZ22,0.35,10.01,6.72,51.93,0,0,0,1.9 2,0.52,0,28.12,0,0.13,0,0,0.25
HUN_MA_Szolad:SZ23,0,9.65,10.69,46.21,0.42,0.63,0, 0.12,0.21,0,29.94,1.54,0.09,0.48,0,0
HUN_MA_Szolad:SZ24,0.76,7.76,9.85,50.38,0.26,0.24, 0,0,0.73,0.29,27.58,1.83,0,0,0,0.32
HUN_MA_Szolad:SZ27,0,9.21,20.30,38.03,0,0,0,0,0.25 ,0.97,25.27,5.62,0,0,0,0.35
HUN_MA_Szolad:SZ28,1.87,3.48,23.08,30.37,0,0,0.26, 0.28,0.22,0,35.09,5.18,0,0,0.18,0
HUN_MA_Szolad:SZ30,0.58,9.45,11.31,50.80,0,0,1.14, 0,0,0,25.72,0,0,0,0,1.00
HUN_MA_Szolad:SZ32,0,6.83,26.45,26.09,0,0,0,0,0.10 ,0.17,30.82,8.15,0.22,1.17,0,0
HUN_MA_Szolad:SZ36,0,7.33,26.07,25.13,0.37,0.24,0, 0.36,0,0,30.45,9.21,0,0,0,0.83
HUN_MA_Szolad:SZ37,0.74,6.76,28.66,26.03,0,1.33,0, 0,0.31,0,26.76,8.83,0,0.57,0,0
HUN_MA_Szolad:SZ38,0,8.06,11.36,48.26,0.21,0,0.06, 0.53,0.92,0,27.86,1.29,0.65,0.80,0,0
HUN_MA_Szolad:SZ40,0,7.50,32.00,18.09,0.12,0,0,0,0 .28,0,29.48,11.39,0,0.12,0,0.97
HUN_MA_Szolad:SZ42,0,8.59,12.32,49.70,0,0,0,0,0,0. 66,26.21,1.98,0,0,0,0.54
HUN_MA_Szolad:SZ43,0.42,6.63,25.26,25.85,0,0,0,0.1 0,0,1.10,33.35,6.70,0,0,0,0.60
HUN_MA_Szolad:SZ45,0,7.90,15.23,38.91,0.63,0.23,0. 39,0.30,0,0,30.05,5.08,0,0.26,0.32,0.70
HUN_MA_Szolad_o1:SZ19,0,2.56,33.99,20.03,0,0.37,0, 0,0.10,0,32.17,10.40,0.07,0,0.12,0.19
HUN_MA_Szolad_o2:SZ25,0.75,10.04,9.28,48.30,0.39,2 .86,1.80,0,0,0,23.50,1.30,0.77,0.63,0,0.37
Iberia_Northeast_Empuries2:I8215,0,2.75,36.90,13.6 4,0,0.20,0.33,0.11,0,0,32.95,12.35,0,0,0,0.77
IRN_Hajji_Firuz_BA:I4243,0.68,25.63,29.72,32.53,0, 0.17,0,0.98,1.15,0,6.83,1.53,0,0,0.40,0.38
ITA_Collegno_MA:CL23,0.96,7.91,19.97,29.33,0,0,0.6 7,0.12,0.48,0.14,32.20,7.18,0,0.45,0.55,0
ITA_Collegno_MA:CL36,0,6.83,24.49,26.86,0.17,0,0,0 ,1.02,0.91,30.64,8.26,0.54,0,0.26,0
ITA_Collegno_MA:CL47,0.66,5.77,14.91,40.90,0,0.43, 0,0,0,0,31.38,5.48,0.40,0,0,0
ITA_Collegno_MA:CL53,1.06,8.57,16.27,39.76,0.69,0, 0.15,0.91,0,0,30.61,1.76,0.14,0,0,0.06
ITA_Collegno_MA:CL57,0,8.33,17.72,36.18,0,0,0,0.19 ,0.61,0.59,30.62,4.68,0.58,0,0.39,0.10
ITA_Collegno_MA:CL63,0,9.07,15.96,42.65,0,0,0,0.67 ,0,0.25,28.50,2.13,0.13,0.44,0.16,0
ITA_Collegno_MA:CL83,0,9.86,5.72,50.62,0,0,0.37,0, 0,0.38,30.50,2.33,0.21,0,0,0
ITA_Collegno_MA:CL84,0,7.64,5.26,54.25,0,0.52,0,0. 11,0,0.19,30.46,1.25,0.33,0,0,0
ITA_Collegno_MA:CL87,0,8.29,8.74,49.65,0,0.06,0.31 ,0,0,0,29.67,2.64,0.11,0,0,0.53
ITA_Collegno_MA:CL92,0,10.16,5.10,53.38,0,0.94,0,0 ,0,1.06,28.55,0.16,0,0,0,0.64
ITA_Collegno_MA:CL93,0,10.74,6.08,54.19,0,0.44,0,0 .20,0,0,26.72,0.74,0,0.53,0,0.35
ITA_Collegno_MA:CL94,0.60,8.36,16.12,34.15,0,0,0,0 ,0.59,0.41,34.75,4.32,0.24,0,0.31,0.11
ITA_Collegno_MA:CL102,0,6.58,17.80,40.80,0.97,0,0, 0,0,0,30.23,3.61,0,0,0,0
ITA_Collegno_MA:CL121,0,10.21,29.64,18.04,0,0,0.44 ,0.13,0,0,29.78,10.54,0,0,0,1.22
ITA_Collegno_MA:CL145,0.51,11.18,5.65,54.63,0,0,0, 0.16,0,0.23,26.75,0,0,0.87,0,0
ITA_Collegno_MA:CL146,0.69,8.93,4.92,55.36,0,0,0,0 ,0.34,0.56,28.09,0,0,1.05,0,0.06
ITA_Collegno_MA:CL151,0.16,12.50,2.05,55.59,0,0,0, 1.03,0,0,27.84,0,0.17,0,0,0.67
ITA_Collegno_MA_o1:CL25,1.86,9.51,39.49,11.09,0,0, 0,0.61,0,0,23.81,12.81,0,0.42,0,0.40
ITA_Collegno_MA_o1:CL30,0,10.10,39.18,10.19,0.45,0 ,0,0.61,0,0,23.48,15.98,0,0,0,0
ITA_Collegno_MA_o1:CL38,0,10.66,37.82,11.18,0.10,0 ,0.16,0,0.41,0.75,23.56,14.37,0.23,0.07,0.30,0.38
ITA_Collegno_MA_o2:CL31,0.60,5.66,24.55,14.52,1.77 ,0.48,17.65,0.94,0.73,0,23.45,8.11,0.38,1.13,0,0
ITA_Proto-Villanovan:RMPR1,0,6.34,23.32,29.35,0,1.56,0,0,0.5 2,0,31.39,6.71,0,0,0.14,0.67
KAZ_Turk:DA228,0,8.80,10.51,27.86,1.22,13.04,25.37 ,0,1.07,0,11.37,0,0,0,0,0.76
Levant_LBN_MA_o4:SI-53,0.76,8.96,33.27,22.42,0,0,0,0.45,0,1.24,23.55,8 .13,0.28,0.06,0,0.87
Levant_PPNB:I0867,0,0,26.20,0,0,0,0,0,0.68,0,30.36 ,36.38,0,3.96,0,2.41
Levant_Sidon_MBA:ERS1790729,0,8.29,47.83,0.59,0,0, 0,0,0,0,15.20,27.54,0,0,0.28,0.28
Levant_Sidon_MBA:ERS1790730,0,7.50,48.89,0.55,0,0, 0,0,0,0,15.37,27.06,0,0,0,0.59
Levant_Sidon_MBA:ERS1790731,0,5.92,43.95,0.20,0.36 ,0,0,0,0,0,14.72,33.93,0,0.19,0,0.73
Levant_Sidon_MBA:ERS1790732,0,6.03,44.18,0,0,0,0,0 ,0,0,18.11,31.23,0,0,0,0.45
Levant_Sidon_MBA:ERS1790733,0,5.53,50.94,0,0.11,0, 0,0,0,0,13.17,29.52,0.14,0,0,0.60
NLD_BA:I4070,0,13.32,6.28,50.17,0,0,0,0,2.15,0,27. 24,0,0.34,0,0,0.51
NLD_BA:I4071,0,12.29,1.39,55.58,0,0.74,0,0.87,0.49 ,0,27.50,0,0.83,0,0.32,0
POL_Globular_Amphora:I2441,0,0,6.83,27.66,0,0,0,0, 0,0,57.73,7.62,0,0,0,0.14
ROU_N:I2532,0,0,34.50,1.96,0.05,0,0,0,0,0,49.84,13 .55,0,0,0.09,0
RUS_Steppe_Maykop:SA6004,0.67,34.72,0,46.36,0,1.90 ,0,0,10.52,5.70,0,0,0,0,0,0.13
Scotland_N:I2637,0,0,9.53,22.22,0,0,0,0,0,0,61.57, 6.47,0,0,0,0.19
Scotland_N:I2651,0,0,5.78,23.17,0,0,0,0,0,0,64.16, 6.58,0,0,0.17,0.15
SVK_Poprad_MA:DA119,0,9.00,5.84,51.98,0,0,0.24,0,0 .28,0,31.73,0.39,0,0,0,0.53
TKM_IA:DA382,2.50,34.32,23.68,34.08,0,0,0,0,1.54,0 .23,2.72,0,0,0,0,0.93
TUR_Kaman-Kalehoyuk_MLBA:MA2200,0,7.88,54.01,0,0,0,0,0,0,0,2 2.07,15.48,0,0,0,0.56
TUR_Kaman-Kalehoyuk_MLBA:MA2206,0,3.80,49.54,4.40,0,0,0,0,0, 0,27.33,14.32,0,0,0,0.62
TUR_Kaman-Kalehoyuk_MLBA_low_res:MA2208,0,9.58,47.44,6.71,0, 0,0,0,0,0,24.85,10.58,0,0,0,0.84
TUR_Ovaoren_EBA:MA2212,0,7.34,44.78,3.51,0,0,0,0,0 ,0,26.48,17.56,0,0,0,0.33
UKR_N_o:I3719,0,0,33.16,4.51,0.44,0,0,0,0,0,47.07, 14.67,0,0,0,0.14

[Leto]

An Italian Jewish average according to what Minardowicz sent me. Doesn't look convincing to be honest, they should be more Middle Eastern


Italkim,5.65,0.38,4.20,0.26,26.26,12.58,0.35,0.62, 13.68,0.29,35.59,0.13

Distance to: Italkim
1.45475084 Ashkenazi_Jews
1.96091893 Italy_Calabria
2.23823591 MD_Jewish
3.65472092 Italy_Sicily
3.99501264 Italy_Campania
5.45705049 Greek_Izmir
5.52735018 Greek_Crete
6.07383141 Italy_Apulia
6.51920575 Italy_Abruzzo
6.75185160 Greek_Kos

Target: Italkim
Distance: 0.6749% / 0.67487996 | ADC: 0.5x
61.0 Ashkenazi_Jews
39.0 Italy_Calabria

Target: Italkim
Distance: 0.5801% / 0.58012062 | ADC: 0.25x
56.8 Ashkenazi_Jews
37.2 Italy_Calabria
4.4 Greek_Izmir
1.6 Sephardic_Jews


@vbnetkhio, let me know if you have access to the Italian Jewish data from Eurogenes, they should score differently.

[Lucas]

New Russian averages for K12b based on academic samples from Yunusbaev. Added.
http://vahaduo.genetics.ovh/dodecad-k12b-vahaduo.htm


RU_Kostroma,4.1233333333,6.725,0.2983333333,0.5233 333333,18.6116666667,58.64,0.355,0.0433333333,1.29 33333333,0.73,8.64,0.0166666667
RU_Tver,4.15,2.92,0.045,0.445,19.9625,59.795,0.797 5,0,0.8975,0.6275,10.3575,0
RU_Smolensk,3.7957142857,1.3257142857,0.1385714286 ,0.1728571429,21.8271428571,58.85,0.6385714286,0.0 485714286,1.38,0.3014285714,11.5257142857,0
RU_Oryol,4.9257142857,2.31,0.2128571429,0.14857142 86,20.9685714286,57.11,0.6085714286,0,0.9242857143 ,0.1585714286,12.6285714286,0
RU_Voronoezh,3.4125,1.93,0.3225,0.2675,20.72,57.73 ,0.4925,0.09,1.6275,0,13.4075,0
RU_Kursk,4.4475,1.8,0.18,0.22,20.29,57.495,1.065,0 .0075,1.1475,0.6425,12.7075,0


I removed old Tver, Smolensk, and Kostroma. Tver has much more Siberian than academic av. and even more than Kostroma. Kostroma has too little Siberian. Smolensk also has slightly too big Siberian comparing to academic average.

==========

I added also Pskov and Ryazan academic refs from different study.


RU_Pskov 2.8371428571,2.0057142857,0.2414285714,0.352857142 9,20.4271428571,62.6414285714,0.7871428571,0.04142 85714,1.3828571429,0.0142857143,8.9757142857,0.291 4285714
RU_Ryazan 4.84,4.0723076923,0.3376923077,0.2323076923,20.155 3846154,56.1953846154,0.8115384615,0.1961538462,0. 7992307692,0.3838461538,11.9053846154,0.0661538462

[Leto]

Actually all of that was academic too. Since it's you who has done the update I'm not really ready to object. Will check them.
There probably will be an Ural Russian average too, I'm currently collecting data and comparing various kits.

Lukasz, can you please round them to two decimal places? 2.12 instead of 2.116. It looks much better.

[Ajeje Brazorf]

An Italian Jewish average according to what Minardowicz sent me. Doesn't look convincing to be honest, they should be more Middle Eastern


Italkim,5.65,0.38,4.20,0.26,26.26,12.58,0.35,0.62, 13.68,0.29,35.59,0.13

Distance to: Italkim
1.45475084 Ashkenazi_Jews
1.96091893 Italy_Calabria
2.23823591 MD_Jewish
3.65472092 Italy_Sicily
3.99501264 Italy_Campania
5.45705049 Greek_Izmir
5.52735018 Greek_Crete
6.07383141 Italy_Apulia
6.51920575 Italy_Abruzzo
6.75185160 Greek_Kos

Target: Italkim
Distance: 0.6749% / 0.67487996 | ADC: 0.5x
61.0 Ashkenazi_Jews
39.0 Italy_Calabria

Target: Italkim
Distance: 0.5801% / 0.58012062 | ADC: 0.25x
56.8 Ashkenazi_Jews
37.2 Italy_Calabria
4.4 Greek_Izmir
1.6 Sephardic_Jews


@vbnetkhio, let me know if you have access to the Italian Jewish data from Eurogenes, they should score differently.

Are they academic kits? Could you pm me them?

[Tacitus]

An Italian Jewish average according to what Minardowicz sent me. Doesn't look convincing to be honest, they should be more Middle Eastern


Italkim,5.65,0.38,4.20,0.26,26.26,12.58,0.35,0.62, 13.68,0.29,35.59,0.13

Distance to: Italkim
1.45475084 Ashkenazi_Jews
1.96091893 Italy_Calabria
2.23823591 MD_Jewish
3.65472092 Italy_Sicily
3.99501264 Italy_Campania
5.45705049 Greek_Izmir
5.52735018 Greek_Crete
6.07383141 Italy_Apulia
6.51920575 Italy_Abruzzo
6.75185160 Greek_Kos

Target: Italkim
Distance: 0.6749% / 0.67487996 | ADC: 0.5x
61.0 Ashkenazi_Jews
39.0 Italy_Calabria

Target: Italkim
Distance: 0.5801% / 0.58012062 | ADC: 0.25x
56.8 Ashkenazi_Jews
37.2 Italy_Calabria
4.4 Greek_Izmir
1.6 Sephardic_Jews


@vbnetkhio, let me know if you have access to the Italian Jewish data from Eurogenes, they should score differently.

Honestly that looks like someone who's half-southern Italian half-Ashkie. Italian Jews should be closer to Sephardics and North African Jews imo:
Distance to: Italkim
1.45475084 Ashkenazi_Jews
1.96091893 Italy_Calabria
2.23823591 MD_Jewish
3.65472092 Italy_Sicily
3.99501264 Italy_Campania
5.45705049 Greek_Izmir
5.52735018 Greek_Crete
6.07383141 Italy_Apulia
6.51920575 Italy_Abruzzo
6.75185160 Greek_Kos
7.48768990 Greek_Foca
7.66072451 Sephardic_Jews
9.29767175 Greek_Athens
9.82694764 Greek_Central
10.60868041 Morocco_Jews
11.14348240 Turk_Cyprus
11.68066779 Greek_Peloponnese
12.00412171 Italy_Marche
12.16546029 Italy_Lazio
14.28350447 Greek_Cypriot
14.34376868 Greek_Thrace
14.48258264 Greek_Thessaloniki
14.95814160 Greek_Thessaly
15.49190434 Italy_Romagna
16.10051241 Turk_West_BlackSea

Compare to the Italian_Jewish sample in Eurogenes K13:
Distance to: Italian_Jewish
3.89400822 Sephardic_Jewish
4.34360449 Algerian_Jewish
4.54528327 Moroccan_Jew
6.54155180 Tunisian_Jewish
7.53173951 Greek_Symi_Island
7.57202087 Libyan_Jewish
7.77530707 IT_Calabria
7.82108688 IT_Calabria_ultra
8.26970374 IT_Calabria_citra
8.78153745 Malta
8.96445202 Ashkenazi
10.37279133 Greek_Dodecanese
10.45388445 Greek_North_Aegean
10.61307684 IT_Campania
10.98278198 Sicily
11.25255971 IT_Salento
11.30891684 IT_Sannio
11.57349126 Greek_Crete
12.14496192 Greek_Chios
12.16735797 IT_Apulia
12.31660668 IT_Molise
12.81290755 IT_Abruzzo
12.82399704 IT_Lucania
12.83816186 IT_Basilicata
12.96026234 Turk_Cypriot

[Dr_Maul]

Afghan_Hazara is missing the 'f' (its spelled Aghan Hazara) on the Eurogenes K13 updated spreadsheet

[Leto]

Afghan_Hazara is missing the 'f' (its spelled Aghan Hazara) on the Eurogenes K13 updated spreadsheet
Glad someone has noticed that! I did a long time ago but thought it was something not too important to write a message.

[Leto]

New Russian averages for K12b based on academic samples from Yunusbaev. Added.
http://vahaduo.genetics.ovh/dodecad-k12b-vahaduo.htm
My family's results with these new averages

Distance to: Leto_Mom
3.44504636 RU_Kostroma
5.57324860 Veps
5.64688855 RU_Ryazan
5.65183156 Rus_North_Dvina
5.98461360 Southwest_Rus
6.27365573 RU_Tver
7.22250865 RU_Kursk
7.28236015 RU_Oryol
7.31693925 Mordovian
7.80090379 Rus_Pinega
7.80476057 RU_Voronoezh
8.14842980 RU_Smolensk
8.69391166 Belorussian
8.74857318 RU_Pskov
8.93990492 Ukrainian
9.26281815 PL_Mazovia
10.58137042 Estonian
10.84753889 Karelian
11.18502570 PL_Warmia-Masuria
11.33674115 Lithuanian

Target: Leto(Bel-Rus)
Distance: 1.6794% / 1.67938632 | ADC: 0.5x
66.8 RU_Ryazan
32.0 RU_Kostroma
1.2 Kuwait2

Target: Leto(Bel-Rus)
Distance: 1.0095% / 1.00949813 | ADC: 0.25x
42.6 RU_Ryazan
34.6 RU_Kostroma
18.4 Southwest_Rus
2.4 Kuwait2
1.8 Mordovian
0.2 Balochi

Me scoring like a Central Russian kinda makes sense.


Distance to: Leto_Dad
2.04644490 RU_Smolensk
2.18503003 RU_Tver
2.32107734 Southwest_Rus
2.73603728 Belorussian
2.93648280 RU_Kursk
3.00334066 RU_Oryol
3.24154284 PL_Mazovia
3.60147019 RU_Voronoezh
4.34237221 RU_Ryazan
4.55830684 RU_Pskov
5.40706020 Ukrainian
6.39078590 RU_Kostroma
6.79973529 PL_Warmia-Masuria
7.38438217 PL_GreaterPoland
7.38789551 Estonian
7.92953340 Lithuanian
8.16679864 Rus_North_Dvina
8.26945585 Sorb_Lusatia
10.25682212 Mordovian
10.50004762 Latvian

Target: Leto_Dad
Distance: 1.4746% / 1.47457040 | ADC: 0.5x
48.8 RU_Smolensk
45.4 RU_Tver
5.8 RU_Oryol

Target: Leto_Dad
Distance: 1.1587% / 1.15872324 | ADC: 0.25x
38.2 RU_Smolensk
32.0 RU_Oryol
18.6 RU_Tver
10.4 Latvian
0.4 Icelandic
0.4 Jatt


Distance to: Leto_Mom
3.44504636 RU_Kostroma
5.57324860 Veps
5.64688855 RU_Ryazan
5.65183156 Rus_North_Dvina
5.98461360 Southwest_Rus
6.27365573 RU_Tver
7.22250865 RU_Kursk
7.28236015 RU_Oryol
7.31693925 Mordovian
7.80090379 Rus_Pinega
7.80476057 RU_Voronoezh
8.14842980 RU_Smolensk
8.69391166 Belorussian
8.74857318 RU_Pskov
8.93990492 Ukrainian
9.26281815 PL_Mazovia
10.58137042 Estonian
10.84753889 Karelian
11.18502570 PL_Warmia-Masuria
11.33674115 Lithuanian

Target: Leto_Mom
Distance: 1.8275% / 1.82746626 | ADC: 0.5x
86.4 RU_Kostroma
6.0 Veps
5.4 Mordovian
2.2 Saudi

Target: Leto_Mom
Distance: 1.1940% / 1.19398217 | ADC: 0.25x
70.4 RU_Kostroma
15.0 Veps
10.8 Mordovian
2.4 Kuwait2
0.8 RU_Kursk
0.6 Saudi

Kostroma looks super Eastern, pretty much like Vyatka where my mom is from.


Distance to: VSh
3.59143425 Southwest_Rus
3.90556953 RU_Ryazan
4.38980139 RU_Tver
4.51990180 RU_Oryol
4.73164660 RU_Smolensk
4.84835138 RU_Kostroma
5.05564041 Belorussian
5.11075643 RU_Kursk
5.41737021 Ukrainian
5.53263048 PL_Mazovia
5.54055954 PL_Warmia-Masuria
5.77998162 RU_Voronoezh
6.82245557 PL_GreaterPoland
6.92088071 RU_Pskov
7.14158946 Sorb_Lusatia
7.57050857 Rus_North_Dvina
8.33822523 Estonian
8.49433341 Veps
9.81493760 Slovak
10.02905280 Rus_Pinega

Target: VSh
Distance: 1.3250% / 1.32503203 | ADC: 0.5x
37.2 PL_Warmia-Masuria
34.8 RU_Kostroma
27.2 RU_Ryazan
0.8 Veps

Target: VSh
Distance: 0.7402% / 0.74019649 | ADC: 0.25x
44.2 PL_Warmia-Masuria
21.4 RU_Ryazan
18.8 RU_Kostroma
15.2 Veps
0.4 Tajiks

[vbnetkhio]

An Italian Jewish average according to what Minardowicz sent me. Doesn't look convincing to be honest, they should be more Middle Eastern


Italkim,5.65,0.38,4.20,0.26,26.26,12.58,0.35,0.62, 13.68,0.29,35.59,0.13

Distance to: Italkim
1.45475084 Ashkenazi_Jews
1.96091893 Italy_Calabria
2.23823591 MD_Jewish
3.65472092 Italy_Sicily
3.99501264 Italy_Campania
5.45705049 Greek_Izmir
5.52735018 Greek_Crete
6.07383141 Italy_Apulia
6.51920575 Italy_Abruzzo
6.75185160 Greek_Kos

Target: Italkim
Distance: 0.6749% / 0.67487996 | ADC: 0.5x
61.0 Ashkenazi_Jews
39.0 Italy_Calabria

Target: Italkim
Distance: 0.5801% / 0.58012062 | ADC: 0.25x
56.8 Ashkenazi_Jews
37.2 Italy_Calabria
4.4 Greek_Izmir
1.6 Sephardic_Jews


@vbnetkhio, let me know if you have access to the Italian Jewish data from Eurogenes, they should score differently.

10 Italian Jewish academic samples:
https://easyupload.io/hgchrg

[Maguzanci]

Yeah, just leave a message on this thread or submit the averages to him directly.

I would avoid immediate family members like parents/children/siblings. More distant ones are okay.

I see. Thanks.

Malays from Peninsular Malaysia (western region). There are some Malays from Eastern part of Malaysia (Borneo) as well but their gedmatch kits are rare.

N=17


Malay_Malaysia_1,4.37,0.78,0.3,58.6,0.72,1.13,16.9 6,0,0.91,15.36,0.87,0
Malay_Malaysia_2,5.93,0.47,1.39,59.47,0,1.32,15.67 ,0,0,13.94,1.76,0
Malay_Malaysia_3,5.23,0,0,54.01,0.53,0.67,22.5,0.2 ,0.13,16,0.72,0
Malay_Malaysia_4,5.92,2.47,0.08,57.95,1.11,1.78,19 .16,0,0.19,10.38,0.95,0
Malay_Malaysia_5,3.52,0,0,63.66,0.63,0,16.47,0,1.3 ,12.75,1.26,0.36
Malay_Malaysia_6,5.3,1.09,0,56.71,0.77,1.12,22.34, 0.26,0,10.1,2.14,0.17
Malay_Malaysia_7,4.44,1.21,0,60.77,0,0,17.56,0.61, 1.75,11.05,2.6,0
Malay_Malaysia_8,2.01,1.07,0,63.24,0,1.68,17.98,1. 23,0.64,10.96,1.18,0
Malay_Malaysia_9,4.09,1.83,1.68,62.12,0,0.21,16.18 ,0,0,12.04,1.38,0.48
Malay_Malaysia_10,2.62,1.89,0,65.3,0.33,1.38,15.22 ,0,0.36,12.57,0,0.32
Malay_Malaysia_11,3.31,2.49,0.6,57.82,0.7,0.61,17. 77,0,0.83,14.02,1.75,0.11
Malay_Malaysia_12,3,1.67,0,62.81,0.92,1.84,15.33,0 .43,0,13.33,0.64,0
Malay_Malaysia_13,4.21,0.76,1.53,56.75,0,0.88,16.2 2,0,0,17.22,2.42,0
Malay_Malaysia_14,2.5,0.3,0.39,58.97,0,0.74,14.46, 0.24,0.51,20.89,1.01,0
Malay_Malaysia_15,3.89,0,0,61.66,0,1.6,13.78,0,0,1 5.64,3.44,0
Malay_Malaysia_16,6.56,2.06,0,55.45,0,0,20.79,0.19 ,0,14.52,0,0.4
Malay_Malaysia_17,5.25,1.99,0,58.72,1.1,1.93,17.08 ,0.07,0.13,9.51,2.79,1.44


Average

Malay_Malaysia,4.24,1.18,0.35,59.65,0.40,0.99,17.3 8,0.19,0.40,13.55,1.47,0.19

Distance to Malay_Malaysia
9.84586715 PANIYA (once again a SE Asian pop mislabelled as South Asian tribal group, not sure the exact SE Asian ethnic group though)
22.19475388 Lahu
23.57280425 Vietnamese
24.95915063 Malay_Singapore (strange how its so far from Malay_Singapore. I checked and it looks like Malay_Singapore is a faulty and terrible pop reference)
26.74066379 Cambodians
27.82123649 Khasi
29.76916358 Dai
31.51851995 Burmanese
34.60891648 Garo
41.24578888 Miaozu
43.58273856 She

My model of Malay_Malaysia average. Around 9.4% West Eurasian. The rest is mainly Mongoloid and Australoid/Negrito or AASI represented by the Bonda, an Austrosiatic tribe in Eastern part of India who is mainly AASI+Mongoloid with very little Caucasoid admix (around 10% and less). Even noice amounts of Negroid (Luhya)

Target: Malay_Malaysia
Distance: 1.3259% / 1.32586244
41.4 Dai
24.2 Bonda
21.8 Vietnamese
4.6 Brahui
3.4 Iran_Mazandaran
2.8 Han_central
1.4 Lithuanian
0.4 Luhya

Replacing the Bonda with my simulated AASI I created:


Simulated_AASI,0,0,0,0,0,0,100,0,0,0,0,0

Around 74% Mongoloid 16% AASI and 9.4% West Eurasian and noise levels of Negroid (represented by Luhya).
Target: Malay_Malaysia
Distance: 1.3537% / 1.35372769
56.0 Dai
17.6 Vietnamese
16.2 AASI
4.6 Brahui
3.4 Iran_Mazandaran
1.4 Lithuanian
0.4 Han_central
0.4 Luhya

Take it with a grain of salt though especially my simulated AASI lol.

I will do Flips, Thais, Burmese, Cambodians for a few more SE Asian references and that should be enough lol.

[Leto]

That is great, thank you!

[Leto]

An Italian Jewish average according to what Minardowicz sent me. Doesn't look convincing to be honest, they should be more Middle Eastern


Italkim,5.65,0.38,4.20,0.26,26.26,12.58,0.35,0.62, 13.68,0.29,35.59,0.13

Distance to: Italkim
1.45475084 Ashkenazi_Jews
1.96091893 Italy_Calabria
2.23823591 MD_Jewish
3.65472092 Italy_Sicily
3.99501264 Italy_Campania
5.45705049 Greek_Izmir
5.52735018 Greek_Crete
6.07383141 Italy_Apulia
6.51920575 Italy_Abruzzo
6.75185160 Greek_Kos

Target: Italkim
Distance: 0.6749% / 0.67487996 | ADC: 0.5x
61.0 Ashkenazi_Jews
39.0 Italy_Calabria

Target: Italkim
Distance: 0.5801% / 0.58012062 | ADC: 0.25x
56.8 Ashkenazi_Jews
37.2 Italy_Calabria
4.4 Greek_Izmir
1.6 Sephardic_Jews


@vbnetkhio, let me know if you have access to the Italian Jewish data from Eurogenes, they should score differently.
This is the real Italian Jewish average. The data from Dawid Wesolowski (used for Eurogenes K13/15) :)


Italian_Jews,5.91,0.27,5.61,0.28,26.04,8.53,0.36,1 .02,16.51,0.14,35.34,0

Distance to: Italian_Jew
3.77326119 Sephardic_Jews
4.67284479 Italy_Calabria
5.63206001 Ashkenazi_Jews
6.05132217 MD_Jewish
6.15061786 Morocco_Jews
7.31213409 Italy_Sicily
7.32937242 Greek_Kos
7.97054741 Italy_Campania
8.38636989 Greek_Crete
9.74311039 Greek_Izmir
9.85336491 Turk_Cyprus
10.73924009 Italy_Abruzzo
10.79619137 Italy_Apulia
11.69769635 Greek_Cypriot
12.50902474 Greek_Foca
14.27517075 Greek_Athens
14.72689037 Greek_Central
15.28629124 Syrian_A
15.64972204 Lebanese_Muslim
15.69210630 Nusayri_Turkey

Target: Italian_Jew
Distance: 1.3829% / 1.38287762 | ADC: 0.5x
46.6 Sephardic_Jews
16.0 MD_Jewish
14.8 Morocco_Jews
12.2 Ashkenazi_Jews
10.0 Italy_Calabria
0.4 Kuwait1

Target: Italian_Jew
Distance: 0.5615% / 0.56150098 | ADC: 0.25x
30.8 Sephardic_Jews
27.6 Italy_Calabria
18.8 Morocco_Jews
16.6 Ashkenazi_Jews
3.4 MD_Jewish
1.2 Kuwait2
1.2 Saudi
0.4 Kuwait1

Without Ashkenazi and Sephardic references

Target: Italian_Jew
Distance: 2.4286% / 2.42863169 | ADC: 0.5x
88.6 Italy_Calabria
9.8 Coptic
1.6 Greek_Cypriot

Target: Italian_Jew
Distance: 1.3394% / 1.33939957 | ADC: 0.25x
75.0 Italy_Calabria
10.0 Greek_Cypriot
9.4 Coptic
3.2 Sardinian
1.2 Algerian
1.2 Yemenite_Mahra

@Lucas please add it too.

[Aren]

I've been testing Harappa world for West Asians and I think it's far better than Dodecad K12b.

Made averages for Assyrians, if you can add Lukasz. N=30+ for all three averages.


Assyrian_North,0.7,18.5,48.2,2.2,0.2,0.1,0.1,0.3,0 .2,0.2,10.4,18.8,0,0.1,0.1,0
Assyrian_West,0.5,17.4,48.1,2.3,0.2,0.1,0.1,0.3,0. 2,0.2,11.5,18.9,0.1,0.1,0.1,0
Assyrian_South,0.9,17.9,47.5,2.1,0.3,0.1,0.1,0.3,0 .2,0.3,10.8,19.1,0.1,0.2,0.1,0

[Mingle]

I've been testing Harappa world for West Asians and I think it's far better than Dodecad K12b.
Why do you think so? Both seem pretty similar.

[Aren]

Why do you think so? Both seem pretty similar.

No NW African component which seems noisy. The SW Asian component in Harappa world is also more stable and more in line with the Red Sea component in Eurogenes K13, with Dodecad I noticed some Assyrians who scored low Red Sea and East Med got somehow high SW Asian, but with Harappa world they score lower than the average as expected.

However both calculators are faulty IMO. How the hell do Chechens score more Baloch/Gedrosia than say Assyrians or Eastern Mizrahi Jews when we have far more Iran_N admixture(Chechens have 4-5% according to PCA G25 and we have around 27-29% on average)?

[Maguzanci]

Why do you think so? Both seem pretty similar.

Do you want some SE Asian or East Asian pop references for Harappa? I can create some.

[Mingle]

Do you want some SE Asian or East Asian pop references for Harappa? I can create some.

Yeah, if you can.

[vbnetkhio]

This is the real Italian Jewish average. The data from Dawid Wesolowski (used for Eurogenes K13/15) :)

Italian_Jews,5.91,0.27,5.61,0.28,26.04,8.53,0.36,1 .02,16.51,0.14,35.34,0

it's from the 10 academic samples?

[Maguzanci]

Yeah, if you can.

Yes I can. Do you want me to post them in this thread?

[Mingle]

Yes I can. Do you want me to post them in this thread?Yeah, seems like the best place to post them.

[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,31.23,32.45,14.11,7.29,9.79,1.3 7,0.91,0.59,1.06,0.51,0.3,0.22,0.16 (N=59)
Hungarian_Northern,30.35,35.36,13.29,6.2,10.12,0.7 5,1.05,0.5,1.16,0.51,0.38,0.15,0.17 (N=42)
Hungarian_Transdanubia,31.72,31.63,13.96,7.34,10.5 6,1.07,0.98,0.4,1.08,0.56,0.31,0.17,0.2 (N=71)
Hungarian_Transylvania,28.82,28.63,15.09,8.19,12.3 2,1.53,1.2,0.52,2.17,0.73,0.5,0.14,0.11 (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,13.14,17.90,0.88,50.54,7.79,0.64,4.30,0.20,2.2 4,1.83,0.30,0.19,0.23
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

[J. Ketch]

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,49.13,25.33,11.52,4.94,3.63,1.27,0.9 3,0.47,0.41,0.75,0.49,0.46,0.59
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

https://i.postimg.cc/ChWD3xP6/k13updated29octa.png

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


https://i.postimg.cc/wg937NmQ/k15updatedoct29a.png

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 :D

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,7.22,14.09,0,38.91,9.05,0.47,16.10,4.3 1,6.23,3.19,0.22,0.10,0.09

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.

[Lucas]

Ok all references from last pages added:)

[Leto]

Ok all references from last pages added:)
Italian_Jews and Korean for Dodecad are not there yet.

[Lucas]

Out of the blue I got those refs and added to K15.


SicilyPalermo,9.2,14.08,4.66,1.91,18.3,14.52,28.64 ,5.94,0.23,0.22,0.05,0.12,0.24,1.16,0.73
SicilyRagusa,11.12,12.93,4.73,2.63,17.95,13.97,27. 54,6.07,0.21,0.04,0.37,0.07,0.17,1.19,1.02
SicilySyracuse,11,15.57,4.67,2.10,18.30,13.89,27.2 3,4.66,0.16,0.31,0.18,0,0.23,0.95,0.75
SicilyEnna,7.39,16.93,4.77,1.83,18.16,12.71,29.27, 6.38,0.3,0.15,0.02,0,0.39,1.10,0.59
SicilyCaltanisetta,9.17,14.82,4.89,1.43,18.03,14.0 7,28.22,6.64,0.12,0.12,0.15,0.08,0.37,1.51,0.38
SicilyTrapani,11.70,14.05,4.75,1.88,18.94,13.03,27 .77,5.58,0.30,0.25,0.09,0.03,0.11,1.09,0.39
SicilyMessina,8.21,12.78,4.16,1.84,18.56,14.77,30. 57,6.29,0.14,0.15,0.11,0.05,0.30,1.39,0.28
SicilyCatania,8.42,14.04,4.03,1.89,18.05,14.97,30. 16,5.57,0.26,0.26,0.03,0.15,0.23,1.42,0.49
SicilyAgrigento,9.18,13.12,5.12,1.76,18.22,13.22,3 0.11,5.65,0.81,0.04,0.15,0.24,0.21,1.32,0.85

[J. Ketch]

Ok all references from last pages added:)
Some things you've added are causing an error in K13, Simulated AASI and Korean are two of them (12 numbers).

Also an error in K15.

[Leto]

Some things you've added are causing an error in K13, Simulated AASI and Korean are two of them (12 numbers).

Why add "Simulated AASI"? It's basically 100% South_Asian. I don't think Maguzanci intended that it should be added. It's a totally meaningless reference in a modern spreadsheet.

[Lucas]

Why add "Simulated AASI"? It's basically 100% South_Asian. I don't think Maguzanci intended that it should be added. It's a totally meaningless reference in a modern spreadsheet.

Ok deleted. Also fixed those errors which Creoda posted.

[Leto]

Ok deleted. Also fixed those errors which Creoda posted.
Thanks. One last thing - please delete the old Korean from K12b :)

[Amon]

Moroccan kits (n=10)



M1,0.3,0,25.48,0.38,21.09,1.67,0.67,10.74,15.76,0, 16.65,7.26
M2,0,0,27.97,0,25.47,1.02,0,7.83,15.08,0,13.98,8.6 4
Adamm,0,0,30.08,0.53,22.76,1.17,0.06,9.05,17.32,0. 48,14.94,3.62
Nassbean,0.58,0,29.31,0,26.24,5.42,1.51,5.43,14.56 ,0,10.55,6.40
Izedwan,0,0,34.11,0,25.34,0,0,8.85,15.54,0.12,10.9 6,5.08
M3,0,0,35.28,0.33,20.3,0,0,9.54,18.56,0,8.34,7.6
M4,0,0.69,31.77,0.21,21.83,0,0,9.01,17.07,0.16,11. 52,7.73
M5,0,0,35.71,0,19.51,0,0,9.59,18.53,0,8.71,7.95
M6,0,0,27.08,0.27,20.3,0.94,0,10.44,18.49,0,13.66, 8.78
M7,0,0,27.45,0,21.92,2.13,0,8.81,19.32,0.15,10.97, 9.25

Avg: Moroccan,0.09,0.07,30.42,0.17,22.5,1.23,0.22,8.93, 17.02,0.09,12.03,7.23

Distance to: Moroccan
3.83174895 Maghrebi
5.49335963 Algerian
31.90263619 Egyptian
32.94022465 Morocco_Jews
35.20926583 Coptic

Target: Moroccan
Distance: 1.5987% / 1.59865679 | ADC: 0.25x
56.4 Maghrebi
40.0 Algerian
3.6 Ethiopians

[Leto]

Moroccan kits (n=10)



M1,0.3,0,25.48,0.38,21.09,1.67,0.67,10.74,15.76,0, 16.65,7.26
M2,0,0,27.97,0,25.47,1.02,0,7.83,15.08,0,13.98,8.6 4
Adamm,0,0,30.08,0.53,22.76,1.17,0.06,9.05,17.32,0. 48,14.94,3.62
Nassbean,0.58,0,29.31,0,26.24,5.42,1.51,5.43,14.56 ,0,10.55,6.40
Izedwan,0,0,34.11,0,25.34,0,0,8.85,15.54,0.12,10.9 6,5.08
M3,0,0,35.28,0.33,20.3,0,0,9.54,18.56,0,8.34,7.6
M4,0,0.69,31.77,0.21,21.83,0,0,9.01,17.07,0.16,11. 52,7.73
M5,0,0,35.71,0,19.51,0,0,9.59,18.53,0,8.71,7.95
M6,0,0,27.08,0.27,20.3,0.94,0,10.44,18.49,0,13.66, 8.78
M7,0,0,27.45,0,21.92,2.13,0,8.81,19.32,0.15,10.97, 9.25

Avg: Moroccan,0.09,0.07,30.42,0.17,22.5,1.23,0.22,8.93, 17.02,0.09,12.03,7.23

Distance to: Moroccan
3.83174895 Maghrebi
5.49335963 Algerian
31.90263619 Egyptian
32.94022465 Morocco_Jews
35.20926583 Coptic

Target: Moroccan
Distance: 1.5987% / 1.59865679 | ADC: 0.25x
56.4 Maghrebi
40.0 Algerian
3.6 Ethiopians
I used those three TA members for the Maghrebi.

[Dirdepo]

K13 Updated

Mother

Target: BZ
Distance: 1.4855% / 1.48547770
37.0 Baltic
21.6 Spanish_Valencia
21.4 Pomak_Xanthi
11.4 NorthAtlantic
3.6 Moroccan_Jew
3.0 Bantu_S.W.
0.8 Dolgan
0.8 Evens
0.2 Tunisian
0.2 Yoruban

Father

Target: JZ
Distance: 0.6920% / 0.69201512
30.6 Baltic
15.2 Pomak_Plovdiv
15.2 Sweden_Svealand_East
12.8 Spanish_Valencia
11.6 Greek_Northern-Thrace
10.8 NorthAtlantic
1.0 Southwest_Russian
0.8 Karitiana
0.6 Kargopol_Russian
0.4 Koryak
0.4 North_Amerindian
0.2 Chukchi
0.2 IT_Trentino
0.2 Xibo

[Dunai]

My 25 ethnic distances on K13, excluding all those regions. What I can conclude is that I'm not super close to any ethnicity, like some others are, and the Austrian average has to be very eastern shifted, because no way I am closer to them than to Hungarians. Someone should make a more updated Austrian average, including all its regions.

Distance to: Dunai
4.48241007 Austrian
5.26954457 Hungarian
6.12456529 Slovenian
7.93761929 Czech
7.97294174 Croat
8.01355102 Székely
8.42686775 Csángó
8.42805413 Slovak
9.43855921 German
11.28222939 Swiss_German
11.28966341 Bosniak
12.34537565 Sorb
12.52917396 Swiss_French
12.70023228 Serb
13.02346344 Pennsylvania_Dutch
13.19076950 Moldovan
15.07058725 Montenegrin
15.58048459 Romanian
15.59914421 Ukrainian
16.14336086 Dutch
16.43218792 Swedish
17.30856724 Polish
17.94327451 English
18.12030905 Cossacks_Kuban
18.21092529 Danish

[Lucas]

My 25 ethnic distances on K13, excluding all those regions. What I can conclude is that I'm not super close to any ethnicity, like some others are, and the Austrian average has to be very eastern shifted, because no way I am closer to them than to Hungarians. Someone should make a more updated Austrian average, including all its regions.

Distance to: Dunai
4.48241007 Austrian
h

Yes. Austrian regions which I had are more western (at least in K36). Only Steiermark is quite eastern.

I'm not sure what Austrian academic Davidski used back then for K13, probably some private raw files.

[J. Ketch]

New averages, for whenever you have time.

K13



Dutch_Friesland,48.32,26.52,10.16,5.82,3.91,1.01,0 .78,0.43,0.89,0.61,0.35,0.58,0.55
Dutch_Holland,48.84,24.92,11.53,5.40,3.57,1.18,1.1 9,0.58,0.45,0.75,0.50,0.41,0.61
Dutch_North_Brabant,47.00,23.22,13.68,5.33,5.15,1. 34,0.90,0.25,0.64,0.62,0.55,0.66,0.61
English_East_Midlands,49.25,23.51,14.26,5.75,3.97, 0.70,0.83,0.14,0.17,0.41,0.45,0.23,0.27
English_Lancashire,50.85,23.62,13.11,5.65,3.24,0.7 2,0.96,0.05,0.23,0.65,0.38,0.24,0.23
English_Southwest,50.26,23.06,14.23,5.30,3.67,0.76 ,1.13,0.03,0.20,0.54,0.45,0.17,0.13
English_West_Midlands,49.86,23.41,13.44,5.60,4.23, 0.51,1.04,0.23,0.25,0.51,0.41,0.26,0.18
English_Yorkshire,50.56,23.80,13.18,5.88,2.88,0.65 ,1.21,0.07,0.22,0.66,0.58,0.13,0.13
Irish,52.54,23.16,12.46,6.75,1.37,0.52,1.32,0.16,0 .21,0.85,0.30,0.16,0.13
Irish_Connacht,52.65,23.42,12.04,7.09,1.07,0.21,1. 59,0.10,0.28,0.90,0.21,0.22,0.10
Irish_Leinster,51.84,23.04,12.80,6.68,1.97,0.62,1. 09,0.31,0.09,0.74,0.39,0.19,0.16
Irish_Munster,52.87,22.83,12.42,6.79,1.52,0.35,1.3 4,0.19,0.28,0.78,0.23,0.16,0.16
Irish_Ulster,53.13,22.47,12.65,6.9,0.87,0.61,1.49, 0.10,0.36,0.84,0.32,0.05,0.14

K15



Dutch_Friesland,38.39,24.09,12.30,8.82,7.03,3.56,1 .69,0.66,0.73,0.26,0.72,0.42,0.24,0.50,0.51
Dutch_Holland,36.81,26.46,10.75,8.75,7.77,3.45,1.5 8,0.80,0.95,0.40,0.30,0.60,0.37,0.37,0.56
Dutch_North_Brabant,35.05,25.34,10.01,8.64,10.03,3 .95,2.54,1.10,0.56,0.17,0.42,0.50,0.42,0.59,0.60
English_East_Midlands,36.13,27.54,10.34,8.45,10.14 ,4.09,1.29,0.59,0.41,0.04,0.02,0.21,0.25,0.22,0.19
English_Lancashire,35.74,29.55,10.18,8.99,8.84,3.6 9,0.96,0.42,0.52,0.01,0.09,0.37,0.23,0.19,0.15
English_Southwest,35.79,29.10,9.64,8.78,10.15,3.15 ,1.13,0.57,0.83,0.01,0.04,0.27,0.27,0.13,0.09
English_West_Midlands,36.35,27.92,9.94,8.89,9.19,3 .74,1.53,0.42,0.67,0.07,0.08,0.28,0.24,0.21,0.12
English_Yorkshire,36.84,28.12,10.54,8.39,9.12,4.03 ,0.62,0.35,0.91,0.00,0.08,0.34,0.38,0.13,0.06
Irish,36.87,30.46,9.78,8.67,7.52,4.04,0.36,0.34,0. 88,0.08,0.09,0.54,0.14,0.08,0.07
Irish_Connacht,37.58,30.41,9.11,9.30,7.27,3.87,0.0 7,0.09,1.09,0.04,0.11,0.67,0.13,0.11,0.07
Irish_Leinster,36.65,30.11,9.58,8.92,7.98,4.19,0.2 8,0.45,0.76,0.18,0.00,0.41,0.20,0.11,0.11
Irish_Munster,37.13,30.17,9.77,8.40,7.68,4.48,0.18 ,0.17,0.91,0.07,0.14,0.50,0.14,0.08,0.10
Irish_Ulster,36.62,30.93,9.31,8.62,7.70,4.34,0.04, 0.30,1.12,0.06,0.13,0.56,0.14,0.03,0.04


refs:

Dutch_Friesland - 17 (academic)
Dutch_Holland - 49 (academic). 34 from North Holland, 15 from South Holland
Dutch_North Brabant - 22 (academic)
English_East_Midlands - 20/21
English_Lancashire - 25/26
English_Southwest - 24
English_West_Midlands - 33/34
English_Yorkshire - 21
Irish - average of my 4 Irish provincial averages plus the old Irish average
Irish_Connacht - 23/27
Irish_Leinster - 27/28
Irish_Munster - 44/51
Irish_Ulster - 22/23

Could you please remove English_Midlands, Southwest_English and the old Irish average. Also Ulster_British as I now feel it's unnecessary (a mixture of other British Isles people), and it would be better if we got some regional Scottish averages instead.

Thanks.

[Ion Basescul]

Please update the following for K13. Don't delete the rest, only duplicates.



Moldova_North,23.76,34.32,14.70,9.76,12.20,1.53,0. 33,0.50,1.73,0.48,0.32,0.04,0.32
Moldova_average,23.08,30.46,15.56,10.11,14.74,1.91 ,0.82,0.58,1.43,0.52,0.37,0.10,0.22

Romania_Moldavia_North,24.59,30.31,15.10,9.37,14.8 1,1.70,0.82,0.61,1.30,1,0,0,0
Romania_Moldavia_South,24.07,26.78,16.97,9.83,16.6 9,2.04,0.67,0.54,1.08,0.67,0.39,0.10,0.16
Romania_Wallachia,22.35,24.81,17.64,11.14,18.53,2. 09,0.75,0.65,0.96,0.52,0.35,0.11,0.09
Romania_Muntenia,21.91,24.66,17.54,11.35,18.87,2.1 9,0.72,0.55,1.03,0.59,0.35,0.13,0.10
Romania_Oltenia,23.52,25.05,17.97,10.73,17.82,1.79 ,0.70,0.79,0.69,0.38,0.36,0.10,0.09
Romania_Dobruja,22.11,24.93,17.64,11.00,18.49,2.23 ,0.71,0.87,1.25,0.37,0.28,0.07,0.06
Romania_Transylvania,24.31,25.97,17.43,10.13,16.98 ,1.84,0.65,0.54,1.04,0.59,0.35,0.07,0.10
Romania_Maramures,24.38,28.43,16.90,9.19,15.65,2.0 6,1.06,0.73,0.75,0.29,0.49,0.05,0.00
Romania_Crisana,25.58,26.36,17.69,9.50,16.32,1.25, 0.82,0.62,0.85,0.59,0.25,0.12,0.06
Romania_Banat,22.75,25.65,17.78,10.71,17.71,2.06,0 .84,0.55,1.21,0.40,0.21,0.07,0.09


The average for Moldova is weighted according to population compared to the old one (Moldova_average,23.50,29.88,15.61,9.93,15.16,1.86 ,0.85,0.62,1.32,0.53,0.41,0.14,0.20)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 100px"><col width="100"></colgroup><tbody>
Weight in country
Region


27.00%
North


52.90%
Centre


20.00%
South

</tbody>
</google-sheets-html-origin>

[Dušan]

Why these two samples were not added to the ancient K13 calculator?



Ukraine_Lutsk_Medieval_VK541,23.15,43.28,11.7,7.62 ,7.79,1.05,1.58,0,1.18,0.56,0.79,0,1.29
Ukraine_Chernigov_VikingAge_VK542,22.48,43.78,10.7 2,8.56,9.14,0.26,0,0,1.64,0.82,0.98,0.73,0.87

[Dušan]

double

[vbnetkhio]

Why these two samples were not added to the ancient K13 calculator?



Ukraine_Lutsk_Medieval_VK541,23.15,43.28,11.7,7.62 ,7.79,1.05,1.58,0,1.18,0.56,0.79,0,1.29
Ukraine_Chernigov_VikingAge_VK542,22.48,43.78,10.7 2,8.56,9.14,0.26,0,0,1.64,0.82,0.98,0.73,0.87


all 404 Vikings:


VK1_Greenland_Eastern_Settlement,52.23,27.14,12.56 ,2.7,0,0,2.94,0,0.43,0.71,0.66,0,0.64
VK101_Iceland_Hofstadir,45.41,24.12,13.01,9.11,1.9 8,0.89,2.08,0.13,0.01,1.6,0.72,0,0.94
VK102_Iceland_Hofstadir,52.21,24.38,10.38,7.15,0,0 .09,1.76,0,0.27,1.49,0.54,0,1.74
VK108_Sweden_Malmo,46.87,33.55,7.32,6.09,2.23,0.11 ,0.7,0,0,1.97,0,0.73,0.44
VK11_Greenland_Eastern_Settlement,45.55,33.53,10.7 8,2.43,4.33,0.19,0,0,0,1.37,0,0,1.82
VK110_Iceland_Hofstadir,51.33,22.7,11.92,5.97,2.48 ,0.19,1.37,1.47,0,0.89,0.06,1.61,0
VK111_Iceland_Hofstadir,49.54,21.13,16.48,4.04,1.9 2,1.85,3.05,0.26,1.39,0.32,0.03,0,0
VK113_Norway_Nor_Mid,55.21,22.62,12.26,2.04,0,1.12 ,4.5,0,0,0.95,1.3,0,0
VK114_Norway_Nor_Mid,44.8,23.66,11.39,12.51,1.74,1 .91,2.01,0,0,0,0,1.93,0.04
VK116_Norway_Nor_Mid,61.1,28.62,0,0,0,8.23,0,0,0,0 ,2.05,0,0
VK117_Norway_Nor_Mid,48.28,28.53,10.35,5.01,3.25,0 .91,0.26,0.32,0,1.37,0,1.22,0.5
VK118_Norway_Nor_Mid,45.55,23.84,13.86,5.86,5.35,2 .12,0.03,0,1.62,0,1.12,0,0.64
VK122_Iceland_Hofstadir,44.39,29.55,13.09,3.42,1.7 8,2.32,0.22,0.27,1.86,0.97,1.4,0.53,0.21
VK123_Iceland_Hofstadir,47.07,23.16,13.55,5.89,4.2 6,0.63,1.06,0.87,1.12,1.18,0,1.21,0
VK124_Norway_Nor_Mid,44.78,29.77,7.93,10.02,1.91,0 ,0,0,0.91,1.96,0.56,2.15,0
VK125_Norway_Nor_Mid,40.73,34.1,0.86,5.26,0,16.43, 0,0,0,2.34,0.28,0,0
VK127_Iceland_Hringsdalur,50.6,23.22,13.76,4.37,3. 69,0,0,0,1.6,0.16,0.68,0.22,1.71
VK128_Iceland_Hringsdalur,49.42,28.46,12.12,1.93,0 .53,2.61,0.78,0,1.25,1.13,1.23,0,0.55
VK129_Iceland_Ingiridarstadir,46.52,32.54,7.41,1.8 3,0,1.19,3.15,0,4.76,0.64,0.4,1.55,0
VK133_Denmark_Funen,57.23,28.61,6.17,0.16,2.37,0,2 .44,0.17,0,0.63,0,2.22,0
VK134_Denmark_Funen,48.09,31.18,11.7,2.84,2.4,0.99 ,0,0.03,0.25,1.48,0.74,0,0.3
VK135_Denmark_Funen,75.64,7.94,4.77,5.72,1.13,0,0, 0,0,4.79,0,0,0
VK138_Denmark_Funen,45.43,22.82,16.43,5.27,6.39,0. 86,0,0,0,0.11,0.83,1.86,0
VK139_Denmark_Funen,26.2,50.51,9.25,1,7.04,0.33,0. 97,0,0,1.9,0.62,0,2.18
VK14_Russia_Ladoga,52.36,28.11,9.52,1.88,0.99,0,2, 0,0,1.91,0,3.22,0
VK140_Denmark_Funen,58.28,24.85,0,0,12.66,0,0.79,2 .17,0,0.1,0.55,0,0.61
VK141_Denmark_Funen,50.08,32.17,7.94,3.47,0,0.72,4 .19,0.23,0,0.7,0,0,0.5
VK143_UK_Oxford_England,51.99,27.2,9.72,4.62,0.6,0 .22,1.64,0,1.43,0,0.92,1.67,0
VK144_UK_Oxford_England,44.37,30.37,8.03,0.28,10.7 3,0,1.6,0,0,1.01,1.04,0,2.57
VK145_UK_Oxford_England,42.47,31.22,8.65,7.39,4.61 ,1.52,0,1.08,0.66,0.9,0.17,0.42,0.91
VK146_UK_Oxford_England,34.92,17.35,21.1,10.25,9.7 9,2.1,1.62,0,0.4,1.07,0.42,0,0.98
VK147_UK_Oxford_England,47.46,29.23,12.74,5.2,0.29 ,1.2,0.41,0.59,0.95,1.1,0,0,0.83
VK148_UK_Oxford_England,45.11,27.35,19,0,0,0,1.32, 0,0,3.41,0,0,3.81
VK149_UK_Oxford_England,43.23,12.75,15.38,13.88,0, 2.31,7.02,5.42,0,0,0,0,0
VK15_Russia_Ladoga,49.33,25.02,11.77,4.84,2.52,1.3 6,0.9,0.79,0.69,0.78,1.25,0,0.75
VK150_UK_Oxford_England,44.3,22.76,14.36,3.35,10.2 5,0.32,1.6,0,0.97,1.29,0.04,0.76,0
VK151_UK_Oxford_England,54,27.94,4.83,6.79,0,0,1.5 7,0.73,0.81,1.57,0.37,0,1.39
VK153_Poland_Bodzia,39.98,39.18,8.77,6.05,0,1.33,1 .77,0.76,0.48,1.68,0,0,0
VK154_Poland_Bodzia,42.36,43.16,5.65,3.16,0,0.88,1 .15,0.91,0,1.09,0.03,0,1.6
VK155_Poland_Bodzia,36.58,39.15,11.62,6.13,0,1.49, 1.54,0,0,2.72,0.34,0,0.43
VK156_Poland_Bodzia,35.78,42.1,8.9,4.1,5.01,0,0,0, 1.13,1.97,0.94,0,0.07
VK157_Poland_Bodzia,35.14,44.24,9.92,1.16,1.94,3.9 2,1.02,0,0,0.66,0.97,0,1.03
VK158_Russia_Pskov,18.7,51.71,19.67,4.52,0,0.79,0, 2.63,1.06,0.92,0,0,0
VK159_Russia_Pskov,28.62,50.38,7.63,3.49,4.19,0,2. 08,0,0,1.86,0.48,1.27,0
VK16_Russia_Ladoga,44.95,27.2,9.32,0.98,6.52,3.27, 1.13,1.1,1.94,1.35,0.22,2.02,0
VK160_Russia_Kurevanikha,24.63,54.16,7.49,3.96,2.4 7,1.99,1.17,1.75,0.31,0.67,0,0.16,1.25
VK161_Russia_Kurevanikha,33.74,52.9,0,0,3.28,7.93, 0,0,0,0.5,0.65,1,0
VK163_UK_Oxford_England,45.75,34.66,14.5,0,0,3.15, 0,0,0,0,0.89,1.04,0
VK164_UK_Oxford_England,0,63.3,8.72,27.76,0,0.23,0 ,0,0,0,0,0,0
VK165_UK_Oxford_England,51.47,28.33,10.44,3.63,0,0 ,0.09,1.98,0.82,1.16,1.08,0,1
VK166_UK_Oxford_England,44.56,25.05,15.03,3.65,5.6 5,1.36,0.67,2.43,0,0,0.68,0.92,0
VK167_UK_Oxford_England,50.67,31.03,5.26,3.94,2.67 ,1.3,1.93,0.25,0.16,1.82,0.4,0.59,0
VK168_UK_Oxford_England,54.22,27.58,10.97,0.83,0.1 5,0,3.21,0.79,0.67,0.22,0,0,1.37
VK17_Russia_Ladoga,42.74,43.99,5.58,0,2.99,0,0,0,2 .99,0,0,0,1.7
VK170_IsleOfMan_IsleOfMan,46.99,29.4,10.42,4.77,0, 0,2.47,0,2.17,2.16,0,1.24,0.39
VK171_UK_Anglesey_Wales,52.22,21.04,12.32,10.88,0, 0,0,1.87,0,0,0,1.66,0
VK172_UK_Oxford_England,49.94,30.28,8.33,2.57,2.74 ,0,3.49,0,0,1.73,0.03,0.6,0.3
VK173_UK_Oxford_England,49.79,26.04,13.85,3.77,1.0 2,2.02,1.11,0.56,0.27,0.71,0,0,0.86
VK174_UK_Oxford_England,47.9,28.1,11.05,5.85,0.1,0 .56,3.05,0.21,0.57,0.79,0.82,1,0
VK175_UK_Oxford_England,46.46,39.63,5.42,3.05,0,0, 0,0,0.78,1.54,0,1.24,1.89
VK176_UK_Oxford_England,48.23,32.11,7.55,3.55,0,3. 16,1.36,0,1.14,0.92,0.12,0.47,1.39
VK177_UK_Oxford_England,44.71,22.98,17.64,7.71,1.5 1,0.92,0.14,1.31,0.46,0,0.63,0,1.99
VK178_UK_Oxford_England,47,23.76,13.59,3.63,4.18,1 .95,2.26,0,0,2.21,0,0.07,1.33
VK179_Greenland_Eastern_Settlement,52.61,27.27,8.9 5,5.26,0,0,1.8,0,2.6,0.31,0.16,0,1.04
VK18_Russia_Ladoga,42.57,39.1,6.97,2.48,0,0,1.79,0 .19,3.93,0.44,0.74,1.56,0.24
VK180_Greenland_Eastern_Settlement,47.09,25.61,13. 11,0,0,0,3.69,0,5.23,5.27,0,0,0
VK182_Greenland_Eastern_Settlement,33.59,31.26,9.2 ,8.82,11.61,0.98,0.75,0,0,0,1.91,1.88,0
VK183_Greenland_Eastern_Settlement,53.38,26.82,9.3 5,4.23,0,3.61,0.25,0,0.61,1.54,0,0.19,0
VK184_Greenland_Eastern_Settlement,48.24,28.76,9.6 ,7.74,0,0.04,0.5,0.8,0.88,1.03,0.7,0.26,1.47
VK185_Greenland_Eastern_Settlement,70.97,28,0,0,0, 0,0,0,0,0,1.03,0,0
VK186_Greenland_Eastern_Settlement,51.14,27.4,12.1 8,4.63,0.18,0.85,0.75,0.12,0.61,0,0.99,0,1.15
VK187_Greenland_Eastern_Settlement,48.54,25.07,11. 92,3.03,5.45,0.49,0,0.18,3.13,0,0.77,0.97,0.45
VK189_Greenland_Western_Settlement,49.1,28.23,8.59 ,2.75,0.48,2.81,4.34,0,0,1.39,1.16,0,1.14
VK19_Russia_Ladoga,34.33,39.57,9.56,6.08,4.86,0,0, 1.29,0.94,1.44,0.09,0,1.85
VK190_Greenland_Eastern_Settlement,50.59,27.32,8.8 3,7.87,1.09,0,2.07,0,0.65,0.13,0.2,0.87,0.38
VK191_Greenland_Eastern_Settlement,45.26,26.39,13. 44,4.86,0,0,4.76,0.09,0,4.74,0.45,0,0
VK193_Greenland_Eastern_Settlement,43.66,19.57,18. 14,10.28,2.22,0,0,1.77,1.21,0.09,2.56,0.18,0.32
VK196_Greenland_Western_Settlement,44.68,30.46,12. 38,0.7,0,0,6.15,3.02,0.73,0,0.73,0.91,0.23
VK20_Russia_Ladoga,52.23,31.04,7.55,2.42,0,0,0,0,2 .26,1.84,1.71,0.96,0
VK200_Poland_Czersk,32.66,33.56,4.26,0,10.97,9.51, 0,0,1.27,7.76,0,0,0
VK201_UK_Orkney_Scotland,55.82,20.61,12.28,7.77,0. 58,1.4,0,0,0,0,1.13,0,0.39
VK202_UK_Orkney_Scotland,53.93,21.6,13.76,4.33,0.8 4,0,2.74,0,0,1.74,0.24,0.59,0.23
VK203_UK_Orkney_Scotland,50.97,25.4,12.07,7.58,0,0 ,2.27,0,0.64,0,0.48,0,0.59
VK204_UK_Orkney_Scotland,54.24,26.65,8.47,7.11,0,0 .6,0,1.8,0.55,0,0.58,0,0
VK205_UK_Orkney_Scotland,51.9,22.92,9.23,5.92,5.7, 1.8,0,0,0.22,1.34,0.26,0.7,0
VK206_UK_Orkney_Scotland,36.51,36.39,0,9.87,11.07, 0,0,0,6.16,0,0,0,0
VK207_UK_Orkney_Scotland,51.35,22.18,15.26,5.91,1. 57,0.13,0.67,0,0.82,0.58,0.76,0.02,0.76
VK208_UK_Orkney_Scotland,57.17,10.99,17.4,10.42,0, 0,0,0,0,1.07,0,0.62,2.33
VK21_Russia_Ladoga,36.75,42.81,4.82,1.32,1.68,2.95 ,0,0.46,6.77,0,0.62,1.81,0
VK210_Poland_Kraków,26.02,40.91,13.35,3.24,6.65,1. 58,2.73,0,0,3.34,0.17,0,2.01
VK211_Poland_Cedynia,41.55,24.36,12.84,4.27,12.46, 1.69,2.78,0,0,0.06,0,0,0
VK212_Poland_Cedynia,29.69,48.84,9.53,5.54,1.59,0, 1.3,0,1.34,0,0.13,1.42,0.62
VK213_Denmark_Sealand,47.22,26.56,13.69,6.98,0.95, 1.47,0.15,0,2.29,0.65,0,0,0.04
VK214_Denmark_Sealand,60.09,28.73,2.63,0,0,0,2.32, 0,1.43,2.28,1.67,0.85,0
VK215_Denmark_Sealand,47.55,36.47,10.55,0,0,0,0,0. 34,0.17,2.82,1.87,0,0.23
VK216_Denmark_Sealand,38.5,39.64,0,8.79,0,5.39,0,6 .92,0,0,0.77,0,0
VK217_Sweden_Malmo,39.54,34.13,7.37,6.45,5.51,0,2. 61,0,0,1.78,1.67,0,0.94
VK218_Russia_Ladoga,47.13,21.41,11.46,8.01,4.84,2. 99,0,0,1.94,0.01,0,1.46,0.74
VK219_Russia_Ladoga,43.93,32.69,8.49,3.69,3.68,1.3 8,2.56,1.28,0.93,0,0,0.95,0.41
VK22_Russia_Ladoga,51.44,23.46,8.43,12.66,0,0,0,0. 71,0.91,0.2,0.56,1.5,0.13
VK220_Russia_Ladoga,46.04,34.35,9.83,1.81,3.42,0,3 .24,0,0.66,0.08,0.28,0.16,0.13
VK221_Russia_Ladoga,43.71,35.41,8.18,7.41,0,1.28,0 .93,0.56,1.83,0.68,0,0,0
VK222_Russia_Gnezdovo,0,11.2,31.07,12.1,0,0,9.77,0 ,8.43,0,19.24,8.19,0
VK223_Russia_Gnezdovo,45.05,36.74,8.88,0,0,0.87,4. 78,1.31,0,0.89,0.4,1.04,0.05
VK224_Russia_Gnezdovo,41.84,43.07,6.07,2.62,0,0.46 ,0,3.11,0,0.53,0.32,0,1.98
VK225_Iceland_Hofstadir,54.04,28.38,9.65,4.07,0,0, 1.77,0,0,1.76,0,0.33,0
VK226_Iceland_Hofstadir,50.97,21.61,13.35,4.97,0,0 ,5.11,0,0,3.99,0,0,0
VK227_Iceland_Hofstadir,46.08,30.68,8.79,3.76,3.45 ,1.16,2.47,0,1.34,0.11,1,0,1.16
VK228_Iceland_Hofstadir,45.41,32.9,1.86,1.12,2.36, 0,7.14,5.04,0,0,0,4.15,0
VK23_Russia_Ladoga,45.56,31.09,12.03,5.86,0,0,0.27 ,0,2.08,1.53,1.04,0,0.54
VK230_Iceland_Hofstadir,49.59,23.1,13.16,5.49,3.96 ,0.84,2.17,0,0,1.59,0,0.1,0
VK232_Sweden_Gotland,55.67,21.32,7.48,5.74,4.63,2. 63,0,0.56,0,1.97,0,0,0
VK234_Faroes_Faroes,51.61,27.09,11,4.59,2.94,0.43, 0,1.15,0.8,0,0.39,0,0
VK236_Faroes_Faroes,51.73,27.57,9.27,5.36,3.45,0.6 8,0,0,0.14,0.94,0.87,0,0
VK237_Faroes_Faroes,52.1,25.53,9.56,4.15,1.95,1.51 ,2.19,0.79,0.38,0,1.28,0.57,0
VK238_Faroes_Faroes,51.35,29.18,8.66,4.7,2,0,0.89, 0.96,0.26,0.8,0,0,1.19
VK239_Faroes_Faroes,54.99,32.12,0,6.07,6.02,0,0.8, 0,0,0,0,0,0
VK24_Faroes_Faroes,49.78,23.46,13.19,6.99,0,0,4.28 ,0,0,1.49,0,0.81,0
VK240_Faroes_Faroes,52.83,25.02,11.21,3.31,4.49,0, 0.26,0.26,0,1.41,1.2,0,0
VK241_Faroes_Faroes,48.04,25.81,12.38,6.41,0,2.01, 0.65,0.65,1.17,0.54,0.34,1.9,0.09
VK242_Faroes_Faroes,55.58,23.03,10.7,6.68,1.14,1.8 ,0,0.6,0.24,0.16,0,0,0.09
VK244_Faroes_Faroes,52.9,24.02,10.07,3.37,5.56,0.4 2,1.71,0,0.66,0.74,0.55,0,0
VK245_Faroes_Faroes,48.86,27.12,11.72,1.45,5,1.74, 1.65,0,0,1.29,1.18,0,0
VK247_Denmark_Sealand,50.02,16.44,18.53,7.62,2.2,0 ,0,0.56,1.25,0.95,0,0,2.43
VK248_Faroes_Faroes,43.52,28.52,8.88,14.08,3.85,0. 29,0,0,0,0.02,0,0,0.85
VK25_Faroes_Faroes,52.57,26.86,10.58,1.35,5.7,0.17 ,1.31,0.37,0.59,0.49,0,0,0
VK251_Sweden_Gotland,28.95,43.59,8.7,0,7.29,5.07,0 ,2.47,0,3.78,0,0,0.16
VK252_Russia_Gnezdovo,13.82,37.7,25.66,0,0,0,0,0,0 ,17.1,0,0,5.71
VK253_Russia_Gnezdovo,30.11,35.37,0,0,18.72,0,7.79 ,0,0,3.56,1.28,3.17,0
VK254_Russia_Gnezdovo,23.16,32.74,14.76,7.22,10.23 ,4.14,0.36,1.36,4.26,1.42,0,0,0.35
VK255_Russia_Gnezdovo,37.93,28.24,6.24,10.76,10.61 ,0.87,0,2.98,1.78,0,0,0,0.6
VK256_UK_Dorset_England,49.28,25.34,12.2,5.47,2.35 ,0.22,0.74,0.28,0.77,0.85,0.77,1.74,0
VK257_UK_Dorset_England,48.84,27.89,12.89,1.91,1.1 7,2.64,0.36,0.25,1.05,0.79,0,1.54,0.67
VK258_UK_Dorset_England,50.97,24.59,9.84,5.67,0,2. 17,1.1,2.37,0.78,0.56,0,0,1.94
VK259_UK_Dorset_England,53.1,24.82,10.77,4.66,0,1. 19,0.34,0,0,1.67,1.26,0,2.19
VK260_UK_Dorset_England,44.57,23.71,15.55,8.21,0.2 9,0,2.08,0.95,0.2,2.29,0.44,0,1.71
VK261_UK_Dorset_England,48.07,23.83,12.89,4.8,5.87 ,0,0,0.22,1.51,0,0.95,0.12,1.75
VK262_UK_Dorset_England,47.83,24.43,13.2,7.03,2.3, 0,0,1.08,0.52,0.86,0.58,1.51,0.67
VK263_UK_Dorset_England,42.09,30.36,10.98,8.65,0,0 ,2.39,0.02,2.09,1.14,0.39,0.96,0.9
VK264_UK_Dorset_England,44.2,28.89,11.77,9.28,2.62 ,0.01,0,0.44,0.05,1.31,0,0.34,1.1
VK265_Sweden_Karda,40.35,17.49,21.75,7.46,7.13,1.4 4,1.16,0.24,2,0.43,0.11,0.34,0.09
VK266_Sweden_Karda,45.12,21.37,12.75,8.62,6.93,1.5 5,1.8,0,0,0.29,0.38,0,1.2
VK267_Sweden_Karda,53.44,15.47,16.57,4.02,0,0.58,0 ,0,4.2,0,2.14,0,3.57
VK268_Sweden_Karda,48.27,24.98,11.08,7.56,0,4.36,0 ,0,0,2.92,0.7,0,0.13
VK269_Sweden_Karda,47.69,13.87,22.71,12.89,0,0,0,0 ,0,2.33,0,0.51,0
VK27_Faroes_Faroes,53.38,25.95,9.09,6.28,1.78,0,1. 07,0,0,0,1,0,1.44
VK270_Sweden_Karda,36.9,22.7,12.65,5.24,14.28,0,0, 0,0,3.72,0,0,4.51
VK272_Russia_Gnezdovo,27.1,42.86,8.37,4.01,8.44,3. 37,1.6,0,1.68,2.01,0,0,0.56
VK273_Russia_Gnezdovo,34.83,41.14,9.3,5.55,2.85,0. 1,0.7,0,0.18,1.23,1.41,1.53,1.18
VK274_Denmark_Langeland,30.81,34.11,13.89,9.49,6.2 1,0.48,2.68,0.16,0.33,1.06,0,0,0.79
VK275_Denmark_Langeland,46.51,29.6,8.67,9.86,0,1.2 8,2.86,0,0,0.18,1.04,0,0
VK276_Denmark_Langeland,44.97,12.92,23.67,4.37,10. 23,1.09,0,0,0,0,2.16,0,0.58
VK278_Denmark_Funen,45.14,20.48,12.92,7.66,10.66,0 ,0.09,0.29,0.23,0.49,0.09,0.53,1.42
VK279_Denmark_Funen,47.9,30.31,7.57,4.68,3.57,2.82 ,0.86,0,0.03,1.39,0.46,0,0.43
VK280_Denmark_Funen,51.99,19.35,14.26,5.59,3.47,1. 57,0,0.21,1.05,1.08,0.98,0,0.45
VK281_Denmark_Sealand,54.4,29.27,4.92,4.56,2.65,0. 7,1.62,0,0.1,0,1.22,0,0.55
VK282_Denmark_Langeland,43.48,32.19,10.57,5.03,1.0 2,2.17,1.19,0.47,0,0.79,1.46,1.41,0.21
VK284_Denmark_Sealand,48.57,34.22,7.34,6.86,0,0.22 ,0,0,0.34,1.68,0.77,0,0
VK285_Denmark_Langeland,48.33,24.49,12.5,7.03,0.71 ,1.04,0.77,1.33,0.48,1.76,0,1.46,0.11
VK286_Denmark_Langeland,39.34,14.21,21.95,11.56,9. 22,0,2.26,0.34,0,0.01,0,0.85,0.26
VK287_Denmark_Langeland,27.47,45.26,8.62,7.09,7.54 ,0,1.5,0.79,1.13,0.21,0.21,0.16,0
VK288_Denmark_Langeland,47.96,28.28,10.3,4,4.84,0. 49,0.64,0.89,0,1.89,0,0,0.71
VK289_Denmark_Langeland,54.9,26.23,7.38,5.76,0.72, 0,0,0,0.57,1.59,0.55,0,2.31
VK29_Sweden_Skara,49.15,28.12,10.86,6.38,1.1,0.5,1 .51,0,0.96,0.56,0,0.2,0.65
VK290_Denmark_Langeland,50.89,30.79,8.65,2.27,1.16 ,2.21,3.27,0.09,0,0.29,0.16,0.23,0
VK291_Denmark_Langeland,51.39,36.14,6.7,0.78,0,0,2 .26,0.32,0,1.44,0.18,0.8,0
VK292_Denmark_Langeland,47.12,24.86,7.98,3.58,7.51 ,0,0,1.42,1.02,2.26,0.38,3.87,0
VK294_Denmark_Sealand,44.04,35.05,10.24,3.38,1.91, 0,2.33,0,0,1.37,0,0.35,1.33
VK295_Denmark_Funen,49.37,30.81,11.45,3.25,0,1.3,0 ,0,0.8,1.11,0.14,1.76,0
VK296_Denmark_Sealand,47.81,32.58,6.95,3.19,0.95,3 .53,0.65,0.12,0.46,1.63,0.74,1.39,0
VK297_Denmark_Sealand,50.8,29.78,9.51,3.37,0,1.41, 0.27,0.5,3.26,0.29,0.61,0,0.21
VK298_Denmark_Sealand,56.88,26.65,6.95,5.83,0,0,0. 6,0,0,0.31,0.18,2.61,0
VK30_Sweden_Skara,45.83,27.32,10.15,6.58,4.68,2.26 ,0,0,0.77,0.83,0.03,1.5,0.06
VK300_Denmark_Jutland,49.43,32.48,7.81,2.98,1.46,0 .17,2.81,0,0,1.83,0.65,0.37,0
VK301_Denmark_Funen,45.71,22.38,17.13,8.47,0,0.74, 1.07,0,0.27,0.77,1.22,2.25,0
VK303_Sweden_Skara,49.68,30.32,10.42,2.13,1.11,1.9 7,0.35,0,0.78,1,0.68,1.56,0
VK304_Sweden_Skara,57.82,26.79,9.22,0,0,0.52,0.34, 0,0,0,0,0,5.32
VK306_Sweden_Skara,44.13,33.48,12.14,2.2,3.39,0.86 ,1.07,0,0.98,0.39,0.01,0.27,1.08
VK308_Sweden_Skara,46.92,32.95,10.47,3.79,1.43,0.1 6,2.05,0.2,0,1.62,0,0,0.39
VK309_Sweden_Skara,31.03,49.73,9.14,1.59,4.23,2.22 ,0,0.45,0,0,1.05,0,0.57
VK31_Sweden_Skara,47.16,24.69,10.69,7.31,3.48,5.47 ,0.66,0,0.54,0,0,0,0
VK312_Denmark_Funen,50.01,28.07,10.3,4.14,1.95,0,0 .83,1.67,0,1.26,0.9,0,0.87
VK313_Denmark_Funen,40.01,36.89,12.93,2.07,3.1,1.5 1,2.07,0,0,0.18,0.91,0,0.31
VK314_Denmark_Funen,41.99,16.16,19.51,6.31,12.72,0 .38,2.57,0,0,0,0,0,0.36
VK315_Denmark_Sealand,50.08,25.18,11.94,9.58,1.16, 0,0,0,0,0.88,0.34,0.85,0
VK316_Denmark_Funen,53.29,27.03,7.87,3.36,3.02,0,3 .25,0.22,0,0.8,0.43,0.47,0.27
VK317_Denmark_Langeland,42.94,20.99,17.62,5.48,8.1 6,1.54,1.57,0,0,0.77,0,0,0.94
VK318_Denmark_Langeland,8.57,28.84,26.38,0,0,0,21. 16,0,0,0,2.49,12.57,0
VK319_Denmark_Funen,42.84,25.07,15.13,4.53,9.57,0. 4,0.74,0.16,0.28,0,0.57,0.72,0
VK320_Denmark_Langeland,46.8,29.74,11.46,6.43,1.38 ,1.23,0.43,0,0.78,0.64,1.13,0,0
VK322_Denmark_Jutland,44.97,21.98,14.01,8.11,6.2,0 ,1.2,1.15,0,0.92,0.33,1.13,0
VK323_Denmark_Jutland,53.47,26.93,9.36,4.33,1,0,2. 58,0.21,0.02,1.39,0.26,0,0.44
VK324_Denmark_Jutland,49.98,24.74,11.05,4.77,3.87, 0.43,0,0.49,1.18,0.97,0.9,1.39,0.24
VK325_Denmark_Jutland,49.47,30.9,9.91,5.22,0,0,0,0 ,0.25,1.54,1.01,0,1.7
VK326_Denmark_Jutland,46.86,20.19,16.26,5.13,5.81, 2.15,1.39,0,1.19,0.26,0,0.75,0
VK327_Denmark_Jutland,43.81,29.32,11.62,6.26,4.12, 0.25,0,1.39,0,0.66,1.59,0.97,0
VK328_Denmark_Jutland,50.78,21.83,12.94,4.43,6.12, 0.31,0,0,1.06,1.58,0,0.94,0
VK329_Denmark_Jutland,42.53,24.21,13.54,5.1,9.57,1 .01,1.23,0.39,0,1.15,0.75,0.31,0.22
VK33_Sweden_Skara,48.52,31.52,8.5,5.6,1.33,1.5,1.6 8,0,0.56,0.19,0,0.02,0.59
VK330_Denmark_Jutland,39.27,22,20.76,3.25,9.01,0.7 ,1.24,1.66,0,0.74,0.87,0,0.51
VK332_Sweden_Oland,46.47,23.94,16.78,2.92,3.83,0.2 3,1.19,1.73,0,0.79,0,1.62,0.49
VK333_Sweden_Oland,43.81,22.16,15.54,3.43,9.56,1.0 1,1.48,0.31,0,1.22,0.25,0.95,0.28
VK334_Sweden_Oland,44.61,35.67,7.37,2,2.59,0,2.01, 0.45,1.76,1.03,1.2,0.1,1.21
VK335_Sweden_Oland,52.6,26.16,7.39,5.4,0,1.38,3.31 ,0,1.05,0,0.51,1.52,0.67
VK336_Sweden_Oland,39.83,16.76,20.76,8.63,10.35,1. 34,0,1.47,0,0.45,0.08,0,0.32
VK337_Sweden_Oland,45.43,26.69,12.75,7.32,3.32,1.2 3,0.55,0,0.84,0,1.03,0.15,0.67
VK338_Denmark_Langeland,54.6,29.44,7.6,1.05,1.8,2. 59,0.1,1.75,0,0.44,0.64,0,0
VK339_Denmark_Jutland,30.19,38.31,4.19,7.6,13.21,0 ,0,0,0,0,2.03,2.99,1.47
VK34_Sweden_Skara,47.98,28.11,10.6,8.98,0,0.66,1.4 ,0,0,1.07,0.19,0.37,0.65
VK340_Denmark_Jutland,28.29,43.29,9.89,5.02,8.09,0 ,3.75,0,0.44,0.1,0,1.12,0
VK342_Sweden_Oland,43.19,38.79,9.31,1.09,0,0,0.82, 0.71,2.52,0.69,0.91,1.59,0.37
VK343_Sweden_Oland,49.43,37.2,4,0,3.48,0.28,1.34,0 .54,1.95,0.63,0,0.16,0.97
VK344_Sweden_Oland,44.55,31.04,7.72,9.15,3.21,0.14 ,1.53,0.49,0,0.51,0.21,0.37,1.08
VK345_Sweden_Oland,40,16.07,25.3,3.83,7.38,1.51,0. 1,0.71,0,1.56,0.59,2.45,0.5
VK346_Sweden_Oland,40.57,25.97,14.2,4.29,11.11,0,1 .16,0,0.23,0,0.45,0.14,1.87
VK347_Sweden_Oland,33.32,30.86,12.59,0,9.92,2.28,0 ,1.26,4.66,0,1.12,4.01,0
VK348_Sweden_Oland,46.53,33.94,5.49,1.85,3.57,2.27 ,0,0,2.5,1.3,1.42,0,1.14
VK349_Sweden_Oland,50.34,21.77,15.26,4.73,0,0.8,5. 61,0,0.22,0,0,0.97,0.29
VK35_Sweden_Skara,51.96,25.14,10.42,4.6,1.81,0.04, 2.77,0.29,0.33,1.01,0.48,1.15,0
VK350_Sweden_Oland,43.84,19.54,19.41,5.34,9.87,0.8 9,0,0,0,0,0.59,0,0.53
VK352_Sweden_Oland,44.44,31.83,8.26,7.67,0,0.93,2. 31,0,0.42,1.43,1.34,0,1.36
VK353_Sweden_Oland,48.67,20.32,13.44,2.9,9.03,0.07 ,1.67,0,2.61,0.07,0,1.17,0.06
VK354_Sweden_Oland,42.02,38.77,5.84,3.22,4.14,0,0, 0,1.41,1.25,2.02,1.34,0
VK355_Sweden_Oland,47.19,19.67,16.72,4.37,5.18,0.8 4,0.45,1.04,0.09,0.92,1.05,1.8,0.68
VK357_Sweden_Oland,48.45,18.9,18.72,3.74,5.41,0.06 ,0,0.94,0,0,1.69,0.11,1.99
VK358_Sweden_Oland,43.2,36.26,13.65,0.6,1.16,0.61, 2.11,0,0.68,0.3,0.33,0,1.09
VK359_Sweden_Oland,36.8,40.09,0.72,9.96,0,0,0,0,6. 93,0,5.5,0,0
VK361_Denmark_Langeland,49.99,25.49,14.35,7.35,0,0 ,0,0,0,0.45,1.67,0,0.7
VK362_Denmark_Langeland,30.94,27.92,18.28,7.06,12. 58,0.14,0.04,0,2.17,0.29,0.18,0,0.4
VK363_Denmark_Langeland,40.91,17.68,17.12,10.85,10 .2,0.3,1.66,0,0.21,0.59,0,0.49,0
VK364_Denmark_Langeland,54.82,25.79,7.37,0.6,7.13, 1.04,0.3,0,1.03,0.38,0.65,0.4,0.5
VK365_Denmark_Langeland,42.67,16.62,19.32,5.63,11. 62,0.38,0,1.5,0,0.97,0.69,0,0.6
VK366_Denmark_Langeland,53.58,27.31,5.45,6.37,4.22 ,0,0.77,1.41,0,0,0.63,0,0.28
VK367_Denmark_Langeland,39.93,42.4,8.1,0,2.73,2.02 ,1.08,0,1.23,0.91,0.87,0,0.74
VK368_Denmark_Langeland,51.47,22.66,10.65,8.86,2.0 5,1.24,0,0.79,0.1,1.18,0.67,0.31,0
VK369_Denmark_Sealand,44.67,19.97,16.61,7.66,6.05, 1.76,0,0.47,0.42,0.77,0.08,1.53,0
VK370_Denmark_Funen,48.2,30.75,10.39,4.8,1.11,0,1. 45,0,2.09,0.98,0.23,0,0
VK371_Denmark_Funen,42.62,36.53,11.5,5.47,0,0,0.36 ,0,1.29,0,1.24,0,1
VK372_Denmark_Funen,52.95,27.67,10.93,4.75,0,0,1.1 7,0,0.38,0.45,0,1.7,0
VK373_Denmark_Funen,50.59,25.12,12.22,3.93,1.9,1.2 6,1.19,0,0.07,2,0.15,0.95,0.61
VK379_Sweden_Oland,44.17,31.26,2.13,8.5,8.56,0,1.6 8,1.34,0.17,0.73,1.44,0,0.01
VK380_Sweden_Oland,41.26,37.28,10.47,4.12,0,0,0,0. 74,0,4.2,0,0,1.92
VK382_Sweden_Oland,43.67,30.69,2.84,4.66,14.51,0,0 ,0,0,0,0,0,3.65
VK383_Denmark_Jutland,54.45,25.86,8.06,4.79,2.14,1 .37,1.84,0,0,0.86,0.64,0,0
VK384_Denmark_Jutland,54.45,25.86,8.06,4.79,2.14,1 .37,1.84,0,0,0.86,0.64,0,0
VK385_Denmark_Sealand,50.35,20.88,15.77,6.3,3.3,0, 0.98,0.54,0,0.22,0,1.66,0
VK386_Norway_Nor_South,54.74,22.76,13.6,3.55,0,0,2 .47,0,0,2.09,0.79,0,0
VK387_Norway_Nor_South,52.01,31.99,5.6,3.23,1.61,0 ,0.2,0,2.39,0.83,0.67,0.69,0.77
VK388_Norway_Nor_North,48.82,29.06,8.68,7.54,0,0.6 7,0,0,1.95,0.81,0.74,0,1.72
VK389_Norway_Nor_South,48.12,31.53,9.44,4.94,0,0,3 .53,0.01,0.53,1.03,0,0,0.89
VK39_Sweden_Skara,50.14,22.99,15.38,5.27,0.84,0,2. 08,0,0,1.07,1.29,0.68,0.26
VK390_Norway_Nor_South,50.92,31.65,7.14,4.46,0,0,1 .15,0.02,0.82,1.95,0.32,0.47,1.1
VK391_Norway_Nor_South,47.56,34.75,8.47,6.43,0,0,0 ,0,0.8,0,0.1,1.25,0.64
VK392_Norway_Nor_South,50.39,32.92,7.59,4.37,1.93, 0.09,0,0.84,0,0.2,0.4,0.18,1.08
VK393_Norway_Nor_South,49.95,33.4,7.08,4.75,0.09,0 .64,1.97,0.75,0.4,0,0.4,0.46,0.12
VK394_Norway_Nor_South,50.72,31.94,5.19,4.7,0,2.49 ,0.7,1.07,0.45,1.09,0,0,1.65
VK395_Sweden_Skara,25.25,57.61,7.9,1.53,0,0.44,0,0 ,4.33,0.67,1.01,0,1.26
VK396_Sweden_Skara,42.04,25.33,17.44,7.51,2.31,2.0 4,0,0,0.26,1.27,0.05,1.74,0
VK397_Sweden_Skara,36.52,42.22,7.42,5.84,3.12,0,1. 64,0,1.17,0.65,0.16,1.14,0.11
VK398_Sweden_Skara,46.55,23.13,11.17,8.06,4.34,2.9 3,0.62,0,2.46,0.48,0.25,0,0
VK399_Sweden_Skara,49.98,29.32,11.34,4,1.75,0,0,0, 2.87,0,0,0.6,0.14
VK40_Sweden_Skara,49.67,26.53,10.7,6.82,0.82,1.1,0 .81,0,0,1.77,0.34,0.81,0.62
VK400_Sweden_Skara,49.66,25.23,11.46,7.62,0,1.13,0 .42,0.59,0.68,2.27,0.94,0,0
VK401_Sweden_Skara,52.5,28.46,9.03,2.57,3.08,0,0,0 ,0,1.8,1.53,0.59,0.44
VK402_Sweden_Skara,47.32,28.6,12.68,3.78,2.69,1.65 ,0,2.03,0,0.19,0,0.96,0.12
VK403_Sweden_Skara,40.6,21.62,18.67,6.73,6.06,2.03 ,0.62,0.53,0.4,1.34,1.2,0,0.19
VK404_Sweden_Skara,48.45,35.36,4.54,0,4.39,3.01,1. 66,0.3,0,1.2,0.31,0,0.78
VK405_Sweden_Skara,49.43,25.74,11.88,4.05,3.75,0,2 .51,0,0.15,0.78,1.07,0.49,0.17
VK406_Sweden_Skara,49.45,31.1,8.59,2.71,2.34,0,2.3 4,0.82,0.59,0.65,0.58,0.83,0
VK407_Sweden_Skara,49.74,26.92,10.07,9.03,0,0,1.48 ,0.47,0,0.57,0.63,1.09,0
VK408_Russia_Ladoga,39.21,41,3.85,2.65,3.2,2.76,2. 6,0,0.36,2.75,0.44,0,1.17
VK409_Russia_Ladoga,40.14,35.34,15.07,4.43,0,2.18, 0.07,0,0.16,0.77,0.7,1.14,0.02
VK410_Russia_Ladoga,48.17,33.34,4.14,4.62,7.29,0,0 ,0,2.09,0,0.35,0,0
VK411_Denmark_Funen,35.93,37.13,15.88,8.26,0,0,0,0 .56,1.42,0,0,0,0.82
VK413_Russia_Gnezdovo,42.63,21.13,22.01,0,6.53,1.6 3,2.73,0,0,3.34,0,0,0
VK414_Norway_Nor_South,48.08,30.3,5.66,1.22,5.88,0 ,4.16,0.09,2.73,0.83,0.02,0.14,0.88
VK415_Norway_Nor_South,47.13,31.17,9.41,7.57,0,0.1 5,0,0.08,0.63,0.91,1.61,0.06,1.26
VK417_Norway_Nor_South,48.9,32.9,8.28,0.93,0,0,1.3 2,0,3.88,1.02,1.79,0,0.98
VK418_Norway_Nor_North,52.41,29.68,6.74,4.16,0,1.4 2,2.05,0,1.87,0,0.49,0,1.18
VK419_Norway_Nor_North,49.61,33.9,5.04,3.82,0,0.84 ,1.86,0,2.53,1.01,0,0.84,0.55
VK42_Sweden_Skara,47.74,23.63,14.52,5.17,2.91,0.99 ,2.98,0.38,0.1,0.69,0.48,0.39,0
VK420_Norway_Nor_South,53.52,26.91,10.97,1.56,0,1. 94,0.97,0,1.44,0.98,0,0,1.72
VK421_Norway_Nor_South,24.98,60.15,0,9.01,0,0,0,0, 0,3.72,1.1,0,1.04
VK422_Norway_Nor_South,50.66,26.59,10.22,3.33,2.27 ,0,1,0,1.02,1.5,1.49,1.26,0.67
VK424_Sweden_Skara,48.19,30.89,12,0,3.11,4.92,0,0. 09,0,0.3,0.49,0,0
VK425_Sweden_Skara,55.99,22.7,9.07,0,4.52,0.15,2.9 1,0,0.22,1.7,1.61,0.58,0.53
VK426_Sweden_Skara,45.59,15.82,18.02,10.84,0,3.66, 0,0.55,1.18,0.52,0,2.86,0.96
VK427_Sweden_Skara,51.94,22.1,17.23,5.08,0,0,0,0.1 4,0.19,1.55,0,0,1.77
VK428_Sweden_Gotland,49.44,31.26,11.72,4.24,0,0,0, 0,0,0,2.36,0.98,0
VK429_Sweden_Gotland,50.94,21.5,13.29,8.13,0,0,3.6 1,0.45,0,1.4,0,0.41,0.28
VK430_Sweden_Gotland,46.21,34.85,8.51,2.24,5.8,1,0 ,0,0.76,0.63,0,0,0
VK431_Sweden_Gotland,38.86,25.61,17.86,1.78,7.27,1 .33,4.26,0.59,0,0,0.33,2.09,0
VK432_Sweden_Gotland,24.55,65.22,4.93,2.28,0,0,1.2 6,0.17,0,0,0,0,1.59
VK433_Sweden_Gotland,47.97,30.26,7.92,5.71,1.98,1. 71,1.64,0,0.71,0.17,0.62,0,1.31
VK434_Sweden_Gotland,28.09,62.96,3.76,1.21,0,0,0.1 5,0,2.61,1.04,0.19,0,0
VK435_Sweden_Gotland,45.16,19.1,23.35,9.68,0,0,0,0 .36,0,2.35,0,0,0
VK437_Sweden_Gotland,2.38,65.51,7.95,0,7.32,3.06,1 1.33,0,2,0,0.25,0,0.2
VK438_Sweden_Gotland,29.2,52.29,5.45,7.81,0,1.51,1 .65,0,0.35,0.18,0,1.21,0.37
VK439_Sweden_Gotland,31.98,63.53,2.22,0.12,0,0,0,0 ,1.86,0,0.3,0,0
VK44_Faroes_Faroes,54.31,21.56,10.88,4.21,4.06,0,2 .74,0,1.81,0,0.04,0,0.39
VK440_Sweden_Gotland,30.89,48.49,11.22,0.71,0,0,5. 33,0,0.39,2.11,0,0,0.86
VK441_Sweden_Gotland,36.95,45.25,0,0,7.15,0,0,0,2. 74,0.96,0,0,6.96
VK442_Sweden_Oland,37.12,22.19,20.03,7.6,7.43,0.53 ,1.87,1.05,0.03,0.69,0.28,0.19,0.98
VK443_Sweden_Oland,39.24,41.3,8.99,4.96,0,1.09,1.7 4,0.38,0,1.36,0.75,0.15,0.02
VK444_Sweden_Oland,41.76,16.31,16.31,9.91,10.18,1. 59,2.87,0,0.41,0.33,0,0.33,0
VK445_Denmark_Sealand,49.3,29,9.25,6.33,1.39,0.5,0 .99,0,0.72,0.72,0,0.47,1.33
VK446_Denmark_Funen,53.12,27.33,6.77,6.53,1,0,1.68 ,0.38,0,1.52,0.57,0.62,0.49
VK448_Norway_Nor_South,47.24,20.18,14.21,6.59,6.76 ,2.4,0,0,0.13,1.05,1.41,0.01,0
VK449_UK_Dorset_England,49,24.65,12.77,8.95,0,0,2. 61,0,1.07,0.32,0.23,0.4,0
VK45_Faroes_Faroes,60.73,23.29,6.39,0,2.32,2.36,0. 55,1.3,0,0.72,0.32,0,2.02
VK450_Sweden_Gotland,47.04,23.51,15.98,1.73,6.67,3 .27,0.01,0,0,1.11,0.67,0,0
VK452_Sweden_Gotland,33.19,51.11,7.35,0.97,0,0.05, 3.05,1.1,0.76,0.6,0.54,1.27,0
VK453_Sweden_Gotland,32.3,43.43,9.14,3.83,1.77,3.1 4,0,0,0.91,0,1.77,3.7,0
VK454_Sweden_Gotland,25.59,45.53,14.97,2.7,4.74,0. 3,0.73,2.49,0,0.34,1.21,1.4,0
VK455_Sweden_Gotland,57.74,25.42,6.89,4.44,0,0.65, 2.96,0.22,0,1.19,0,0,0.47
VK456_Sweden_Gotland,54.53,21.52,12.29,6.71,0,0,2. 66,0.24,0,0.94,0.02,1.09,0
VK457_Sweden_Gotland,27.06,46.57,9.09,5.2,0,1.45,3 .09,2.19,2.29,1.54,1.04,0,0.48
VK458_Sweden_Gotland,27.98,54.52,7.11,0.86,3.68,0, 0.73,0,2.23,1.26,0,0,1.63
VK459_Sweden_Gotland,19.03,57.86,6.67,4.28,5.04,2. 46,1.82,0.49,1,0.21,1.13,0,0
VK46_Faroes_Faroes,50.75,25.69,11.15,2,3.47,2.12,1 .25,0,0,1.91,0.99,0.19,0.48
VK460_Sweden_Gotland,53.02,26.23,6.8,7.02,2.82,0.0 4,1.78,0.95,0,0.75,0.04,0.54,0
VK461_Sweden_Gotland,36.68,49.96,1.27,1.63,1.15,0. 96,0,0,3.39,0.64,0.66,3.66,0
VK462_Sweden_Gotland,39.33,47.71,0.44,2.49,0,3.35, 0.73,0,2.94,2.82,0.18,0,0
VK463_Sweden_Gotland,26.8,59.13,8.79,2.06,0,0,0.86 ,0,0,0.9,0,0,1.46
VK464_Sweden_Gotland,32.39,55.45,1.85,3.8,3.33,0,0 ,1.32,0.26,0,0,0,1.6
VK466_Russia_Gnezdovo,25.85,43.15,9.22,12.82,0,0,2 .34,0.15,0,2.09,1.69,0,2.69
VK467_Sweden_Gotland,55.35,11.85,9.75,0,10.46,0,4. 18,0,3.45,0,0,0,4.95
VK468_Sweden_Gotland,45.51,27.71,10.92,5.07,6.95,0 .75,0,0,0.7,0.58,0.45,0,1.37
VK469_Sweden_Gotland,49.9,31.23,9.94,2.41,0.98,3.0 3,1.22,0,0.45,0.74,0.09,0,0
VK470_Russia_Gnezdovo,57.01,20.43,13.68,0,0,0,0,0, 0.31,4.78,0,3.78,0
VK471_Sweden_Gotland,26.61,56.57,10.11,0.86,0.57,1 .11,1.6,0,2.58,0,0,0,0
VK472_Sweden_Gotland,39.46,56.81,0,2.1,0,0,0,0,0.4 8,1.15,0,0,0
VK473_Sweden_Gotland,37.39,39.76,11.71,3.68,2.43,1 .11,0.41,0,1.01,0.57,1.71,0.21,0
VK474_Sweden_Gotland,32.29,45.57,8.99,1.99,5.67,1. 55,0.49,0,0,0.93,1.82,0,0.71
VK475_Sweden_Gotland,27.23,57.2,7.07,0,1.45,1.09,3 .43,0,0,1.49,0.67,0.38,0
VK476_Sweden_Gotland,22.63,33.2,15.05,9.42,12.77,2 ,0,0,1.43,2.29,1.21,0,0
VK477_Sweden_Gotland,41.75,21.77,17.77,7.27,7.86,0 ,0,0,1.47,1.44,0.35,0.3,0
VK478_Sweden_Gotland,28.88,61.27,4.41,2.06,0,0.06, 1.4,0,0,0,0.07,0.16,1.68
VK479_Sweden_Gotland,52.16,28.62,10.85,4.73,0,0,0. 37,0,1.53,0.4,0.63,0.72,0
VK48_Sweden_Gotland,52.37,30.1,8.21,4.75,0.86,0,2. 72,0,0,0,0.27,0.72,0
VK480_Estonia_Saaremaa,48.16,33.89,10.63,1.67,0,0, 0.95,0.58,1.22,0.77,0.03,1.22,0.87
VK481_Estonia_Saaremaa,49.97,35.17,7.08,3.53,0,0.4 7,1.07,0,0.87,0,0.98,0.2,0.65
VK482_Estonia_Saaremaa,50.05,32.75,5.35,2.6,1.36,2 .42,1.77,0,1.7,0.77,0.51,0,0.72
VK483_Estonia_Saaremaa,50,31.22,8.48,2.25,0.62,2.6 2,1.43,0,1.69,0.51,0.4,0.69,0.08
VK484_Estonia_Saaremaa,50.36,32.75,8.34,3.64,0,0,0 .98,1.45,0.71,0,0.81,0.46,0.49
VK485_Estonia_Saaremaa,49.67,34.56,7.41,2.57,0,2.9 9,0.91,0,1.45,0.44,0,0,0
VK486_Estonia_Saaremaa,49,34.91,7.03,2.52,0,0.72,0 .96,0,2.1,0.53,0.62,0,1.62
VK487_Estonia_Saaremaa,46.43,33.56,9,3.2,3.23,0,0. 03,0.32,1.93,0.47,0.54,1.16,0.13
VK488_Estonia_Saaremaa,53.01,28.61,8.72,0.87,0.08, 1.21,2.7,1.69,1.09,0.15,0.49,1.38,0
VK489_Estonia_Saaremaa,49.32,33.63,9.62,1.3,0.96,1 .22,0.89,1.05,0,0.18,0.64,1.11,0.08
VK490_Estonia_Saaremaa,50.4,34.15,9.9,1.21,0.7,0,2 .07,0,0.1,0.85,0.25,0,0.37
VK492_Estonia_Saaremaa,42.88,30.88,10.01,8.26,0.79 ,2.28,1.96,0.42,1.54,0,0.82,0.17,0
VK494_Poland_Sandomierz,32.56,47.37,12.86,2.56,0,0 ,0.82,2.53,0.31,0.22,0,0.77,0
VK495_Estonia_Saaremaa,48.13,39.57,2.72,3.09,3.91, 0,0,1.17,0,0.36,0.16,0.36,0.53
VK496_Estonia_Saaremaa,47.56,34.28,8.02,1.56,3.12, 0,1.58,0.35,0.22,0.99,0.52,0.17,1.64
VK497_Estonia_Saaremaa,46.28,35.34,8.55,4.06,0,1.7 3,0,0.58,0.79,1.17,0.2,0,1.3
VK498_Estonia_Saaremaa,51.62,32.72,6.52,4.01,0.38, 0.55,0.04,1.53,0,1.13,0.62,0.13,0.76
VK50_Sweden_Gotland,50.23,35.32,7.34,2.72,0,0.68,1 .18,0.57,1,0.02,0.74,0.2,0
VK504_Estonia_Saaremaa,44.81,37.94,8.63,3.06,1.25, 0,1.07,0,1.31,0,0.6,0,1.34
VK505_Estonia_Saaremaa,49.62,30.69,7.71,2.45,2.93, 1.97,0.29,0.2,1.06,0.91,1.09,1.08,0
VK506_Estonia_Saaremaa,49.98,36.01,8.09,0,0,0.87,0 .81,1.38,0.83,0.79,0,0,1.23
VK507_Estonia_Saaremaa,46.67,37,5.86,5.98,0,1.2,0. 18,1.5,0,0.27,0.88,0.26,0.2
VK508_Estonia_Saaremaa,46.1,36.68,7.89,5.17,0.1,0. 51,0.39,0,0.57,1.33,1.02,0,0.23
VK509_Estonia_Saaremaa,40.53,37.09,9.97,1.7,6,0.84 ,0.61,0.42,0.53,0.38,0.86,0.68,0.4
VK51_Sweden_Gotland,36.23,51.6,1.87,2.6,0,1.79,0,1 .96,2.16,0.09,0.61,1.08,0
VK510_Estonia_Saaremaa,49.85,36.91,4.54,1.43,0.34, 1.14,2.6,1.11,0,0.86,0.48,0,0.75
VK511_Estonia_Saaremaa,44.67,33.02,8.24,8.82,0,0.0 5,1.58,0,1.79,0,0.68,0,1.14
VK512_Estonia_Saaremaa,47.48,34.45,6.07,5.21,0.46, 1.06,2.19,0.88,0.25,0.08,0.65,0,1.23
VK513_Greenland_East_Settlement,48.92,31.08,7.82,2 .35,2.28,0.43,3.81,0,1.15,1.78,0.38,0,0
VK514_Norway_Nor_North,44.9,31.07,9.9,5.32,2.24,1. 84,1.17,1.76,0.09,0.63,1.07,0,0
VK515_Norway_Nor_North,53.04,27.54,8.93,3.87,3.34, 0,0,1.5,0,1.25,0.08,0.46,0
VK516_Norway_Nor_Mid,48.43,35.84,7.67,3.33,0,0,0,0 .78,0.85,1.67,1.43,0,0
VK517_Sweden_Uppsala,45.3,38.13,5.59,1.67,0.82,2.2 3,1.98,0,2.01,1.4,0.19,0.67,0
VK518_Norway_Nor_North,18.85,41.84,0,0.02,0,0,0.09 ,0,30.75,7.36,0.81,0,0.28
VK519_Norway_Nor_North,30.85,42.6,0,5.94,0,0.16,1. 74,0,16.85,1.8,0,0,0.06
VK520_Norway_Nor_North,53.71,32.26,5.04,3.25,0.31, 0.54,0.66,1.37,0.93,1.94,0,0,0
VK521_Denmark_Sealand,53.36,29.9,7.09,1.32,1.33,1. 98,1.48,0,1.4,0.45,1.15,0.53,0
VK522_Sweden_Oland,55.04,31.37,7.58,0,1.14,1.32,1. 04,0.7,0,0.55,0.97,0.29,0
VK523_Norway_Nor_Mid,45.31,36.14,9.19,4.66,0,0,0.7 8,0.11,0.49,1.02,0.64,1.66,0
VK524_Norway_Nor_North,49.8,31.87,6.13,5.51,0,0,2. 11,1.53,1.2,1.08,0.45,0,0.32
VK525_Norway_Nor_North,54.37,22.45,12.63,5.65,0,0. 69,1.86,0.99,0,0,0,0.25,1.1
VK526_Norway_Nor_North,50.19,25.57,12.32,4.21,3.86 ,0,1.3,0.37,0,0.8,1.23,0,0.17
VK527_Sweden_Uppsala,44.91,38.77,8.04,1.53,0,1.82, 2.28,0.17,1.17,0,0.63,0.68,0
VK528_Norway_Nor_North,55.65,21.98,11.6,5.73,1.07, 0,3.25,0.3,0.17,0,0.25,0,0
VK529_Norway_Nor_North,49.81,31.88,6.86,5.3,2.16,0 ,0,0,1.05,2.05,0.88,0,0
VK53_Sweden_Gotland,31.28,40.33,13.71,3.74,5.76,0. 03,0,1.13,0.18,0.55,0.95,0.87,1.47
VK530_Norway_Nor_North,53.93,20.36,13.12,7.06,3.13 ,0,0.52,0,1.03,0.02,0.56,0,0.27
VK531_Norway_Nor_North,28.01,60.59,0,0,0,0,0,0,2.0 5,8.61,0,0.72,0.03
VK532_Denmark_Sealand,46.78,31.04,6.7,6.57,0.41,1. 15,3.83,0,0,0.53,1.5,1.49,0
VK533_Sweden_Oland,41.8,39.89,7.34,2.1,5.06,0.11,0 ,0,0,1.61,0.94,0.27,0.88
VK534_Italy_Foggia,16.05,9.75,21.87,15.2,28.5,4.62 ,1.33,1.4,0,0.03,0,1.27,0
VK535_Italy_Foggia,17.07,8.36,24.98,14.34,23.8,5.7 1,2.03,1,0,0,0.53,1.03,1.15
VK536_Italy_Foggia,25.42,5.92,24.54,13.04,22.96,4. 86,0,0,1.83,0,0,1.08,0.34
VK537_Italy_Foggia,20.22,7.68,19.16,13.86,29.9,6.7 3,0,0,0.7,0,0,0.11,1.64
VK538_Italy_Foggia,27.62,21.44,19.02,8.37,16.15,4. 96,0,0.3,0.91,0,0.21,0.68,0.34
VK539_Ukraine_Shestovitsa,45.15,38.7,5.96,3.69,0.3 9,0,0,0,3.21,1.13,0.65,0,1.13
VK540_Ukraine_Shestovitsa,52.36,35.33,4.71,1.95,0. 91,0,0,0.37,0.81,1.52,0.97,0.78,0.31
VK541_Ukraine_Lutsk,23.15,43.28,11.7,7.62,7.79,1.0 5,1.58,0,1.18,0.56,0.79,0,1.29
VK542_Ukraine_Chernigov,22.48,43.78,10.72,8.56,9.1 4,0.26,0,0,1.64,0.82,0.98,0.73,0.87
VK543_Ireland_Eyrephort,49.6,27.3,10.91,7.75,0,0,1 .4,0,1.21,1.02,0,0.82,0
VK544_Ireland_Dublin,51.24,30.31,7.55,4.39,1.51,0. 58,0,0,0,1.02,1.5,1.86,0.04
VK545_Ireland_Dublin,51.12,22.91,11.98,8.12,0,0.27 ,2.1,0,0,1.34,0,0.96,1.2
VK546_Ireland_Dublin,42.23,31.53,9.68,6.04,4.49,0, 0,3.07,0,0.97,0.58,0,1.41
VK547_Norway_Nor_North,48.42,33.52,8.53,2.43,0,0.4 1,1.74,1.32,0.44,1.65,0.9,0,0.64
VK548_Norway_Nor_Mid,52.23,31.11,6.59,3.13,1.36,0. 63,1.3,1.7,0,1.13,0,0.54,0.28
VK549_Estonia_Saaremaa,46.94,34.63,9.9,4.26,0,0,2. 48,0,0,0,0.32,0.65,0.81
VK550_Estonia_Saaremaa,47.21,34.11,9.01,3.48,3.04, 0,1.24,0,1.11,0.17,0.53,0.11,0
VK551_Estonia_Saaremaa,52.12,35.7,4.14,0,1.49,1.47 ,1.39,0,0.52,1.2,0.13,0.66,1.18
VK552_Estonia_Saaremaa,52.01,29.98,7.68,1.48,2.11, 1.12,1.98,0,0,1.5,0.42,0.83,0.87
VK553_Estonia_Saaremaa,47.52,34.47,8.26,4.02,0,0.5 3,2.17,0.08,0.72,0,0.51,1.34,0.39
VK554_Estonia_Saaremaa,50.21,34.44,8.66,1.41,0,0,0 ,2.21,1.01,1.34,0.73,0,0
VK555_Estonia_Saaremaa,48.39,35.14,7.56,1.39,0,3.4 9,0,0,2.38,0.14,0.8,0.18,0.54
VK56_Sweden_Gotland,26.76,51.84,4,1.11,0.43,0,1.45 ,0.41,8.96,2.68,0.62,0,1.73
VK57_Sweden_Gotland,41.11,20.16,19.66,4.44,10.21,0 ,1.35,1.72,0,0,0,1.34,0
VK579_Sweden_Oland,44.14,41.85,7.47,0,0.21,0,0,0,1 .72,0.78,0.64,0,3.2
VK58_Sweden_Gotland,53.26,26.13,8.86,5.26,1.89,1.6 ,0,0.7,0,0.67,0.29,0.58,0.77
VK582_Denmark_Jutland,55.99,27.12,8.03,4.64,2.81,0 ,0.85,0,0.55,0,0,0,0
VK6_Greenland_Eastern_Settlement,48.68,25.58,10.94 ,2.9,7.6,1.67,1.2,0.49,0.1,0,0.38,0,0.48
VK60_Sweden_Gotland,34.52,52.22,6.51,1.65,1.12,0.5 3,1.67,0,0,0.32,0.19,0,1.27
VK63_Sweden_Gotland,42.02,23.83,15.87,11.31,0,4.38 ,1.36,1,0,0.06,0,0,0.17
VK64_Sweden_Gotland,37.74,39.06,12.03,6.86,0,0,2.2 1,0,0.72,0.38,0,0.98,0
VK65_Denmark_Sealand,46.93,21.37,18.79,0,7.29,1.42 ,1.76,0,0,1.5,0,0.93,0
VK69_Denmark_Sealand,52.3,26.08,6.9,6.65,0,1.93,0, 1.15,0,1.27,0.93,0,2.8
VK70_Denmark_Sealand,52.29,23.74,12.54,6.47,0.3,0, 0.81,1.13,0.06,1.05,0.67,0,0.94
VK71_Denmark_Sealand,50.44,30.82,9.69,0.59,2.98,0, 0,0,0,1.69,3.35,0,0.45
VK74_Greenland_West_Settlement,42.44,0,4.53,0,32.8 2,9.59,0,0,0,0,0,0.35,10.26
VK75_Greenland_Western_Settlement,48.41,26.82,11.6 6,9.19,0,0,1.63,0,0.53,1.24,0.37,0.14,0
VK76_Greenland_Western_Settlement,36.34,20.56,0,0, 29.9,1.99,0,0,4.85,1.03,5.33,0,0
VK77_Greenland_Western_Settlement,59.95,16.17,1.32 ,16.32,0,4.14,2.09,0,0,0,0,0,0
VK78_Greenland_Western_Settlement,55.4,17.72,7.15, 11.26,0,0,0,0,0,6.42,0.52,0.53,0.99
VK84_Denmark_Jutland,44.45,16.34,18.43,4.45,9.16,1 .98,2.32,0.9,0,1,0.86,0.1,0
VK86_Denmark_Jutland,31.68,36.63,4.71,0,9.28,0,0,1 3.79,0,0,3.91,0,0
VK87_Denmark_Jutland,42.76,21.29,14.4,6.29,11.29,0 .79,0,0.3,0.01,1.54,0.72,0.6,0
VK9_Greenland_Eastern_Settlement,56.72,27.87,7.95, 3.98,0,0,0,0,0,1.5,1.15,0.83,0
VK90_Denmark_Sealand,40.01,18.04,20.05,3.95,12.22, 1.29,0,0,0.31,2.11,1.05,0.96,0
VK92_Denmark_Sealand,55.3,24.27,12.16,5.7,0,0,0.17 ,0,0,2.12,0.16,0.11,0
VK94_Denmark_Sealand,46.32,26.99,15.02,3.26,3.48,0 ,4.14,0.45,0,0,0,0,0.33
VK95_Iceland_Hofstadir,49.42,20.25,14.83,2.82,4.98 ,1.59,2.96,0,1.13,1.14,0.06,0.48,0.34
VK98_Iceland_Hofstadir,46.17,30.06,8.21,5.21,4.54, 0,1.85,0,0.58,1.8,0.46,0.71,0.42
VK99_Iceland_Hofstadir,49.41,24.8,12.21,6.57,0,1.8 4,0.9,0.32,1.31,2.32,0.33,0,0.01


+3 ancient Slavs:



KRA011_S-Anhalt_1100_AD,29.56,50.68,8.38,2.39,2.54,1.03,1.3 0,0.14,0,1.40,1.27,1.10,0.21
KRA001_S-Anhalt_1100_AD,25.47,47.56,12.36,7.54,1.32,0,2.43, 0.52,0.01,1.20,0.71,0.61,0.27
KRA003_S-Anhalt_1100_AD,36.22,42.47,9.53,1.80,2.24,1.07,0.3 8,0.11,1.99,0.77,1.59,1.57,0.25

[oszkar07]

My 25 ethnic distances on K13, excluding all those regions. What I can conclude is that I'm not super close to any ethnicity, like some others are, and the Austrian average has to be very eastern shifted, because no way I am closer to them than to Hungarians. Someone should make a more updated Austrian average, including all its regions.

Distance to: Dunai
4.48241007 Austrian
5.26954457 Hungarian
6.12456529 Slovenian
7.93761929 Czech
7.97294174 Croat
8.01355102 Székely
8.42686775 Csángó
8.42805413 Slovak
9.43855921 German
11.28222939 Swiss_German
11.28966341 Bosniak
12.34537565 Sorb
12.52917396 Swiss_French
12.70023228 Serb
13.02346344 Pennsylvania_Dutch
13.19076950 Moldovan
15.07058725 Montenegrin
15.58048459 Romanian
15.59914421 Ukrainian
16.14336086 Dutch
16.43218792 Swedish
17.30856724 Polish
17.94327451 English
18.12030905 Cossacks_Kuban
18.21092529 Danish

Distance to: Oszkar
3.72317069 Austrian
5.04733593 German_East
6.84580163 German
7.72020077 Hungarian_Transdanubia
7.93366246 Hungarian_Budapest
7.99675559 Croat_Croatia_Gorski_Kotar
8.14288647 Czech
8.25083632 Slovenian
8.74133857 Croat_Croatia_Zagorje
8.77519800 Hungarian
9.28462708 Croat_Croatia_Central
9.59022419 Hungarian_Northern
9.87765876 Slovak
9.98206892 Hungarian_Alföld
10.03557173 FRA_Alsace
10.13897924 German_West
10.81012026 Swiss_German
10.87727447 Croat_Croatia
11.34710536 Croat
11.34722874 North_German
11.42959317 Hungarian_Transylvania
11.68116861 Dutch_South
11.72224381 Swiss_German2
12.05646714 Pennsylvania_Dutch
12.07142494 Sorb_Lusatia

[Leto]

New averages, for whenever you have time.
Is Wales just as 'southern' as SW England in your opinion? I can't imagine places like Exeter or Bristol being more northern than Wales.

[J. Ketch]

Is Wales just as 'southern' as SW England in your opinion? I can't imagine places like Exeter or Bristol being more northern than Wales.
Hard to say. The difference between Wales and England generally is more Insular vs Continental shift than North vs South. I'd say Wales overall appears to be more Northern shifted than SW England and definitely Cornwall, but South Wales is probably similar.

This is an average of 22 Welsh academic kits (more Southern than the Welsh kits I've collected), and an average of 24 Southwest English kits, 7 from Cornwall.

WelshK13,49.70,22.94,13.79,6.02,3.98,0.86,0.97,0.1 8,0.23,0.48,0.27,0.35,0.16
English_Southwest,50.26,23.06,14.23,5.30,3.67,0.76 ,1.13,0.03,0.20,0.54,0.45,0.17,0.13

The Welsh K15 average of 57 kits (academic + collected), many from North Wales, is more Northern than the SW England average, so it varies.

Welsh,36.42,28.89,9.89,8.65,9.24,4.15,0.70,0.36,0. 62,0.06,0.13,0.31,0.21,0.19,0.07
English_Southwest,35.79,29.10,9.64,8.78,10.15,3.15 ,1.13,0.57,0.83,0.01,0.04,0.27,0.27,0.13,0.09

[Lucas]

Hard to say. The difference between Wales and England generally is more Insular vs Continental shift than North vs South. I'd say Wales overall appears to be more Northern shifted than SW England and definitely Cornwall, but South Wales is probably similar.

This is an average of 22 Welsh academic kits (more Southern than the Welsh kits I've collected), and an average of 24 Southwest English kits, 7 from Cornwall.

WelshK13,49.70,22.94,13.79,6.02,3.98,0.86,0.97,0.1 8,0.23,0.48,0.27,0.35,0.16
English_Southwest,50.26,23.06,14.23,5.30,3.67,0.76 ,1.13,0.03,0.20,0.54,0.45,0.17,0.13

The Welsh K15 average of 57 kits (academic + collected), many from North Wales, is more Northern than the SW England average, so it varies.

Welsh,36.42,28.89,9.89,8.65,9.24,4.15,0.70,0.36,0. 62,0.06,0.13,0.31,0.21,0.19,0.07
English_Southwest,35.79,29.10,9.64,8.78,10.15,3.15 ,1.13,0.57,0.83,0.01,0.04,0.27,0.27,0.13,0.09

I don't like those academic Welsh kits. Gedmatch samples are better representative in my opinion.
Also Irish academic samples are "super-Irish" comparing to every Gedmatch Irish kit.

[J. Ketch]

I don't like those academic Welsh kits. Gedmatch samples are better representative in my opinion.
Also Irish academic samples are "super-Irish" comparing to every Gedmatch Irish kit.
What do you mean? I've found the Irish gedmatch kits to have less Baltic and more North Atlantic than the old Irish average in K13.

My Irish provincial averages

Irish_Connacht,52.65,23.42,12.04,7.09,1.07,0.21,1. 59,0.10,0.28,0.90,0.21,0.22,0.10
Irish_Leinster,51.84,23.04,12.80,6.68,1.97,0.62,1. 09,0.31,0.09,0.74,0.39,0.19,0.16
Irish_Munster,52.87,22.83,12.42,6.79,1.52,0.35,1.3 4,0.19,0.28,0.78,0.23,0.16,0.16
Irish_Ulster,53.13,22.47,12.65,6.9,0.87,0.61,1.49, 0.10,0.36,0.84,0.32,0.05,0.14

Old Irish average

Irish,52.23,24.02,12.39,6.32,1.41,0.82,1.09,0.09,0 .03,0.99,0.33,0.18,0.10

[J. Ketch]

I don't like those academic Welsh kits. Gedmatch samples are better representative in my opinion.

Is the Welsh average in K13 from gedmatch kits? If so it diverges quite a bit from SW English kits.

[Lucas]

I added (to most popular calcs by now) new option from last Vahaduo script update.

When you click ADC, new function "recalculate" appears. By default is yes, if you change to no, results sometimes differ substantially.
Also now different "Cycles" could change results more than before.

Worth to try.

[Lucas]

I added (to most popular calcs by now) new option from last Vahaduo script update.

When you click ADC, new function "recalculate" appears. By default is yes, if you change to no, results sometimes differ substantially.
Also now different "Cycles" could change results more than before.

Worth to try.

Also for G25 Vahaduo...

[Dušan]

Recalculated

Original
Distance: 238.3089% / 2.38308868
Target: Dušan | ADC: 0.25x RC
34.0 Erzya
26.6 Moldavian
25.8 Bulgarian
13.6 Sardinian

Updated
Distance: 178.9699% / 1.78969851
Target: Dušan | ADC: 0.25x RC
61.0 Serb_B&H_Krajina
26.6 Erzya
10.8 Sardinia
1.6 Ukrainian_Ivano_Frankivsk

Ancient
Distance: 156.8579% / 1.56857878
Target: Dušan | ADC: 0.25x RC
52.6 Sungir6_Early_Medieval_Russian_I2a_I2a_
33.6 MJ12_Thraco_Kimmerian_
6.6 I1113_Bulgaria_MP_N_7983_ybp
4.2 AV1_Hungary_Avar_1361_ybp
3.0 scy301_SG_Moldova_Scythian_SG

[Leto]

Maybe "Erzya" should be renamed to "Mordovian_Erzya". Would be more understandable.

[Dušan]

Maybe "Erzya" should be renamed to "Mordovian_Erzya". Would be more understandable.

When I exclude Erzya from original K13

Recalculated

Distance: 238.2569% / 2.38256884
Target: Dušan | ADC: 0.25x RC
53.8 Southwest_Russian
31.2 Bulgarian
15.0 Sardinian

[Leto]

When I exclude Erzya from original K13

Recalculated

Distance: 238.2569% / 2.38256884
Target: Dušan | ADC: 0.25x RC
53.8 Southwest_Russian
31.2 Bulgarian
15.0 Sardinian
Much better. Half Slav, that sample is super Slavic.

[Jana]

Original K13

Distance: 242.4148% / 2.42414849
Target: Stearsolina | ADC: 0.25x RC

65.4 Croatian
22.8 Austrian
7.0 North_Ossetian
4.8 French_Basque

[Vasilious]

Me k13,

Distance to: Vasil
2.50313803 MacedonianWest
2.55630593 MacedonianSouthEast
2.55865199 Vlach(Aromanian)_average
2.65265904 MacedonianGreeceNorthWest
2.69814751 Albanian_Kosovo
2.77974819 MacedonianPelagonia
2.83880256 MacedonianEast
3.05846367 MACEDONIAN_AVERAGE
3.14437593 MacedonianCentral
3.23337285 MacedonianSouthWest
3.50732091 MacedonianNorthWest
3.60383129 Albanian_Montenegro
3.85129848 Vlach_North-Macedonia
3.87133052 Albanian
3.88786574 Albanian_Macedonia
3.92583749 Vlach_North-Macedonia-Highlander
3.96763154 Torbeshi_North-Macedonia-Central
4.16064899 Albanian_north_Albania
4.34743603 MacedonianNorthEast
4.40159062 Torbesh_average
4.46138151 Greek_Thessaly
4.59041392 MacedonianNorth
4.85089682 Albanian_Albania
4.94159893 Bulgaria_Southeastern
4.99520770 Bulgaria_Northeastern


Distance: 56.0098% / 0.56009813
Target: Vasil | ADC: 0.25x RC
51.8 MacedonianNorthWest
27.6 Albanian_Kosovo
9.8 Italian
7.8 Greek_Istanbul
2.2 Pomak_Central-Macedonia
0.8 Brahmin_UP



Distance: 42.8361% / 0.42836147
Target: Vasil
34.8 MacedonianNorthWest
18.4 Albanian_north_Albania
11.0 MacedonianNorthEast
7.8 Austrian
7.4 IT_Lombardy
6.8 Torbeshi_North-Macedonia-Central
5.2 Greek_Caucasus
2.2 Swiss_Italian
2.0 Greek_North_Aegean
1.6 Parsi_India
1.0 Lebanese_Druze
0.8 Greek_West
0.6 North_German
0.2 Belorussian
0.2 Pomak_Central-Macedonia

[Impaler]

Distance: 288.5729% / 2.88572874
Target: Impaler | ADC: 0.25x RC
41.8 Turk_Targovishte
18.6 FRA_Provence
17.6 Pomak_Central-Macedonia
10.0 Turk_Razgrad
5.2 Piramalai
5.0 Turk_Kazanlik
1.8 Balkan_Gypsy


Distance: 292.4193% / 2.92419297
Target: Impaler | ADC: 0.25x RC
36.0 Romanian
28.6 Ashkenazi
20.8 West_German
9.2 Turkmen
5.4 Velamas


Distance to: Impaler
6.89989130 Turk_Kazanlik
7.21847629 Turk_Targovishte
7.21988920 Turk_Razgrad
7.39397052 Turk_Kavala
7.47429595 Turk_Stara-Zagora
8.12070810 Turk_Balkan_average
8.17302881 Turk_Alexandroupoli
8.39867251 Pomak_Central-Macedonia
8.70959815 Turk_Kardzhali-East
8.89303098 Bulgaria_Northeastern

[Vasilious]

Me k13 ancient

Distance to: Vasil
7.34989116 SZ1.SG_longobard_hungary
7.44175383 scy192_SG_Moldova_Scythian_SG
7.50894134 SZ1_Hungary_BA.SG_3950_ybp
7.91122620 STR310_Germany_Early_Medieval.SG_1430_ybp
8.05532122 R970_Lazio_Rome_Renaissance_Italy
8.78286969 SZ36_Hungary_Langobard.SG_1442_ybp
9.08590117 SZ31_Longobard_M_T1a1a_PF5620_U4c2a_60th_century
9.15688266 MJ12_Thraco_Kimmerian_
9.37329718 R1_Abruzzo_Teramo_Late_Bronze_Age_Italy
9.72491131 SZ37_Hungary_Langobard_1447_ybp
9.93111776 NW54_Germany_Early_Medieval.SG_1491_ybp
10.46586356 SZ32_Hungary_Langobard_1442_ybp
10.79764326 DA195_Hungary_Scythian.SG_2553_ybp
10.83741667 I4124_Germany_Bell_Beaker_4284_ybp
10.94203363 R55_Lazio_Rome_Late_Medieval_Italy
11.02395573 R60_Lazio_Rome_Early_Medieval_Italy
11.64164937 I7043_Hungary_BA_4000_ybp
11.65261344 STR535_Germany_Early_Medieval.SG_1491_ybp
11.72568122 R121_Lazio_Rome_Italy_Late_Antiquity
11.73599165 R36_Lazio_Rome_Italy_Late_Antiquity
12.32962287 R969_Lazio_Rome_Renaissance_Italy
12.38858749 CL36_longobard_north_italy
12.58344150 R105_Lazio_Rome_Italy_Late_Antiquity
12.66860292 R1549_Lazio_Rome_Roman_Imperial
12.94382478 R33_Lazio_Rome_Early_Medieval_Italy


Distance: 180.2831% / 1.80283149
Target: Vasil | ADC: 0.25x RC
41.4 R970_Lazio_Rome_Renaissance_Italy
16.6 MJ12_Thraco_Kimmerian_
15.0 DA195_Hungary_Scythian.SG_2553_ybp
11.2 scy192_SG_Moldova_Scythian_SG
9.6 MJ14_West_Scythian_R1a_Z645_
6.2 STR310_Germany_Early_Medieval.SG_1430_ybp

[Tacitus]

Ok I combined the recent regional averages for Italy with the original sources and here are the new averages for K13. The only unchanged ones are Basilicata (the new Lucania sample is virtually identical), Molise, Aosta, and Umbria.

Italian_Abruzzo,20.94,8.67,21.62,13.43,29.24,4.58, 0.15,0.24,0.25,0.2,0.37,0.26,0.05
Italian_Aosta,39.39,15.81,22.37,7.56,12.42,1.2,0.4 6,0.01,0,0.01,0.12,0.44,0.21
Italian_Apulia,19.02,8.26,22.3,14.71,29.55,4.6,0.1 3,0.11,0.11,0.4,0.43,0.3,0.08
Italian_Basilicata,20.54,8.01,20.72,14.55,28.73,5. 5,0.37,0.08,0.09,0.03,0.46,0.59,0.33
Italian_Calabria,16.19,5.91,21.7,15.11,32.79,6.1,0 .36,0.35,0.02,0.1,0.36,0.74,0.27
Italian_Campania,18.33,7.26,22.11,14.74,30.71,4.93 ,0.46,0.24,0.16,0.3,0.18,0.44,0.14
Italian_Emilia,29.45,11.37,24.41,8.37,21.84,3.16,0 .26,0.33,0.03,0.28,0.34,0.11,0.04
Italian_Friuli,31.36,17.52,20.96,7.7,18.04,2.72,0. 39,0.28,0.05,0.77,0.11,0.1,0
Italian_Lazio,24.44,9.2,23.7,11.63,25.84,3.76,0.34 ,0.24,0.13,0.21,0.26,0.16,0.07
Italian_Liguria,30.04,11.84,24.67,7.62,21.38,2.96, 0.38,0.35,0.09,0.28,0.24,0.05,0.04
Italian_Lombardy,32.65,12.11,25.67,6.77,19.54,2.16 ,0.2,0.18,0.14,0.09,0.14,0.18,0.09
Italian_Marche,24.57,9.18,22.96,11.69,25.92,4.39,0 .19,0.13,0.14,0.27,0.21,0.2,0.15
Italian_Molise,20.11,8.57,21.61,14.07,29.62,4.58,0 .02,0.47,0,0.38,0.25,0.16,0.16
Italian_Piedmont,33.1,14.48,24.23,6.57,17.45,2.85, 0.07,0.11,0.16,0.3,0.4,0.02,0.26
Italian_Romagna,26.15,11.02,23.57,9.88,24.19,4.14, 0.14,0.41,0.05,0.34,0.18,0.13,0.06
Italian_Sardinia,23.19,1.83,48.87,0.28,22.28,2.68, 0,0.18,0.02,0,0.27,0.27,0.15
Italian_Sicily,18.15,7.04,22,14.07,30.3,5.18,0.38, 0.25,0.22,0.16,0.44,1.07,0.71
Italian_Trentino,33.28,17.34,23.41,5.89,17.29,1.81 ,0,0.16,0.19,0.24,0.3,0.08,0.01
Italian_Tuscany,28.19,11.11,24.1,9.5,22.17,3.76,0. 28,0.15,0.14,0.09,0.3,0.11,0.11
Italian_Umbria,26.21,9.45,23.31,11.11,24.58,3.76,0 .28,0.17,0,0.16,0.84,0.13,0
Italian_Veneto,32.41,14.7,23.41,7.18,18.81,1.92,0. 29,0.42,0.29,0.28,0.25,0.03,0.03
Malta,16.23,6.76,21.7,12.76,32.1,5.85,0.5,0.77,0,0 .07,0.31,1.6,1.32

Please delete the current samples and add these. Thanks.

Circling back to this, I think these should become the new Italian samples, since I don't think subregional samples like Salento, Sannio, or Ororbia are necessary, let alone diving Emilia into east and west.

[Ritz06]

K13 original


Distance: 231.4910% / 2.31490953
Target: | ADC: 0.25x RC
42.4 West_German
31.6 Tabassaran
16.6 Italian_Abruzzo
6.8 Turkmen
2.6 Dai

K13 updated


Distance: 195.7190% / 1.95718958
Target: | ADC: 0.25x RC
39.2 Turk_Burgas
30.4 Irish_Ulster
27.6 Tabassaran
2.8 Malay

K13 ancient

Distance: 200.4327% / 2.00432664
Target: | ADC: 0.25x RC
45.2 I3443_Belize_MayahakCabPek_9300BP_9285_ybp
21.4 DA206_Kazakhstan_Kangju.SG_1738_ybp
19.2 scy311_SG_Moldova_Scythian_SG
10.4 Crusader_SI53_Kingdom_of_Jerusalem_
3.8 Shahr_I_Sokhta_BA2_S8726.E1.L1

What is I3443_Belize_MayahakCabPek_9300BP_9285_ybp?

[Dušan]

Eastern half of Europe

Updated K13 national averages:

https://i.imgur.com/Z2M6lf8.png

[Dunai]

Eastern half of Europe

Updated K13 national averages:

https://i.imgur.com/Z2M6lf8.png

Poles are very Eastern shifted, much closer to Russians than to fellow West-Slavs, very interesting.

[andre]

Hi guys! in this period i saw that dodecad k12b works good as eurogenes k13 for europeans.. but it works pretty good for asians too (Kaspias it would have the same idea i guess).

So, we have a good amount of asian averages, but for balkans it's noth that good. Could you (who have made samples in k13) for hungarians,romanian,greeks,macedonians,italians samples, create those averages for k12b too?
It's not necessary to create "Serb_South_Valley_North_Village_East_Bosnia_Proper _Not_South_But_North" like on Eurogenes k13...let's try to create good averages without political views contaminations.

[Chris596]

Hi guys! in this period i saw that dodecad k12b works good as eurogenes k13 for europeans.. but it works pretty good for asians too (Kaspias it would have the same idea i guess).

So, we have a good amount of asian averages, but for balkans it's noth that good. Could you (who have made samples in k13) for hungarians,romanian,greeks,macedonians,italians samples, create those averages for k12b too?
It's not necessary to create "Serb_South_Valley_North_Village_East_Bosnia_Proper _Not_South_But_North" like on Eurogenes k13...let's try to create good averages without political views contaminations.

You can use my coordinates as a Balkan sample, since I'm just a Hungarian LARPer :cry2 Chris,4.66,0.32,0.00,0.00,26.80,38.40,0.40,0.00,3. 26,2.14,23.49,0.54


Yes, I think Dodecad K12b works very well:

Distance: 248.5100% / 2.48510023
Target: Chris | ADC: 0.25x RC
67.0 Serb
26.5 Croat
4.8 Georgian_Mingrelian
1.7 Japanese

Distance to: Chris
3.53788072 Serb
3.89263407 MD_Center
4.40663137 Montenegrin
5.62415327 Romanian
5.62780597 HUN_Szekely
5.90758834 Macedonian
5.98466373 MD_North
6.30179340 Bosnian
6.90741630 Bulgarian_West
6.98818288 MD_South
7.04882260 Pomak
7.12516666 Croat
7.88658988 Bulgarian_Central
10.09031714 MD_Gagauz
10.24557465 Greek_Macedonia
10.38942732 Bulgarian_East
11.13710016 Slovenian
12.54579212 Hungarians
12.61125688 Albanian_North
12.84579309 Turk_Deliorman
12.90317790 Bavarian_German
13.14337080 Italy_FriuliVG
13.78937635 Albanian_Kosovo
14.33629659 Turk_Makedonya
14.95755328 Bulgarian_Thrace

[Leto]

Hi guys! in this period i saw that dodecad k12b works good as eurogenes k13 for europeans.. but it works pretty good for asians too (Kaspias it would have the same idea i guess).

So, we have a good amount of asian averages, but for balkans it's noth that good. Could you (who have made samples in k13) for hungarians,romanian,greeks,macedonians,italians samples, create those averages for k12b too?
It's not necessary to create "Serb_South_Valley_North_Village_East_Bosnia_Proper _Not_South_But_North" like on Eurogenes k13...let's try to create good averages without political views contaminations.
Greece, Bulgaria, the Balkan Turks are very well covered. Moldova too. There are also decent Romanian and Yugoslav averages (Serbia, Croatia, Bosnia). What else do you need? Dodecad is unlikely to reflect some minor differences.

[Leto]

Hi guys! in this period i saw that dodecad k12b works good as eurogenes k13 for europeans.. but it works pretty good for asians too (Kaspias it would have the same idea i guess).

So, we have a good amount of asian averages, but for balkans it's noth that good. Could you (who have made samples in k13) for hungarians,romanian,greeks,macedonians,italians samples, create those averages for k12b too?
It's not necessary to create "Serb_South_Valley_North_Village_East_Bosnia_Proper _Not_South_But_North" like on Eurogenes k13...let's try to create good averages without political views contaminations.
Greece, Bulgaria, the Balkan Turks are very well covered. Moldova too. There are also decent Romanian and Yugoslav averages (Serbia, Croatia, Bosnia). What else do you need? Dodecad is unlikely to reflect some minor differences.

[Lucas]

Greece, Bulgaria, the Balkan Turks are very well covered. Moldova too. There are also decent Romanian and Yugoslav averages (Serbia, Croatia, Bosnia). What else do you need? Dodecad is unlikely to reflect some minor differences.

We can check. If vbknethio or someone else will make regional averages it will be added.

[Leto]

We can check. If vbknethio or someone else will make regional averages it will be added.
vbnet is not an active user of Dodecad and I cannot help you with the Balkans myself.

[Kaspias]

Hi guys! in this period i saw that dodecad k12b works good as eurogenes k13 for europeans.. but it works pretty good for asians too (Kaspias it would have the same idea i guess).

So, we have a good amount of asian averages, but for balkans it's noth that good. Could you (who have made samples in k13) for hungarians,romanian,greeks,macedonians,italians samples, create those averages for k12b too?
It's not necessary to create "Serb_South_Valley_North_Village_East_Bosnia_Proper _Not_South_But_North" like on Eurogenes k13...let's try to create good averages without political views contaminations.

Dodecad K12b is even superior to Eurogenes K13 IMO.

I will be adding new Macedonian and Pomak averages in the future. I have the kits, yet have no time nowadays. We may need vbnetkhio for the Western Balkans.

@Lukasz

I remember I had sent you the Crimean Tatar Coast in the past, can you add it?

[vbnetkhio]

Hi guys! in this period i saw that dodecad k12b works good as eurogenes k13 for europeans.. but it works pretty good for asians too (Kaspias it would have the same idea i guess).

So, we have a good amount of asian averages, but for balkans it's noth that good. Could you (who have made samples in k13) for hungarians,romanian,greeks,macedonians,italians samples, create those averages for k12b too?
It's not necessary to create "Serb_South_Valley_North_Village_East_Bosnia_Proper _Not_South_But_North" like on Eurogenes k13...let's try to create good averages without political views contaminations.

Bosnia is divided into 3 traditional regions x 3 ethnicites. it's really not that complicated.

however it's true a lot of the averages ended up being very similar as i gathered more samples, i'll probably reduce them in the future.

[Dušan]

There should be only national (ethnic) averages in updated K13.

[vbnetkhio]

We can check. If vbknethio or someone else will make regional averages it will be added.

i think it's ok as it is.

[Jana]

There should be only national (ethnic) averages in updated K13.

Dumb idea.

[Dušan]

Dumb idea.

Affraid because southern Croats are usually closer to general Serb than to general Croat average? :)

[Jana]

Affraid because southern Croats are usually closer to general Serb than to general Croat average? :)

Uhm, maybe because countries have regional differences? Seems you are afraid of your results.
Yeah, Italian average for example is extremely useful.

[Dušan]

Uhm, maybe because countries have regional differences? Seems you are afraid of your results.
Yeah, Italian average for example is extremely useful.

We dont need tens of Croatian, Serbian, Hungarian, Romanian etc. averages.
One for each ethnicity is enough.

[Jana]

We dont need tens of Croatian, Serbian, Hungarian, Romanian etc. averages.
One for each ethnicity is enough.

Regional averages are needed and one isn't enough because people in these countries didn't have same ethnogenesis.
But number of averages could be reduced.

[Dunai]

I will work on making new Hungarian averages for K15, since it's the other calculator good for Europeans. I also like that it has that map feature. I was thinking on K12b at first, but then I noticed how few European regions it provides, it just doesn't look as suited for generally European populations as Eurogenes does. Maybe some other time.

[Abriekman]

Why am I getting Caucasus populations in every my result?

Distance: 105.3750% / 1.05375003
Target: Abriekman
85.0 Ukrainian
9.1 Turk_Ahiska
5.9 Macedonian


Distance: 99.3008% / 0.99300814
Target: Abriekman
86.4 Ukrainian
8.6 Hemshin
4.0 Macedonian
0.6 Lak
0.4 Western_Indonesian




Distance: 179.8929% / 1.79892882
Target: Abriekman
83.9 Ukrainian
7.4 Macedonian
6.3 Azeri_Jew
1.3 Nogai
1.1 Azerbaijani_Turkey

[Impaler]

Why am I getting Caucasus populations in every my result?

Distance: 105.3750% / 1.05375003
Target: Abriekman
85.0 Ukrainian
9.1 Turk_Ahiska
5.9 Macedonian


Distance: 99.3008% / 0.99300814
Target: Abriekman
86.4 Ukrainian
8.6 Hemshin
4.0 Macedonian
0.6 Lak
0.4 Western_Indonesian




Distance: 179.8929% / 1.79892882
Target: Abriekman
83.9 Ukrainian
7.4 Macedonian
6.3 Azeri_Jew
1.3 Nogai
1.1 Azerbaijani_Turkey

Try 0.25x, is more accurate. I score 20% West German...and I am not even 1%. :)

[Abriekman]

Try 0.25x, is more accurate. I score 20% West German...and I am not even 1%. :)

Still there is on 0.25x

Distance: 117.3761% / 1.17376149
Target: Abriekman | ADC: 0.25x RC
79.0 Ukrainian
11.8 Macedonian
6.8 Ossetian
2.4 Tabasara

Distance: 85.3092% / 0.85309179
Target: Abriekman | ADC: 0.25x RC
61.5 Ukrainian
27.1 PL_GreaterPoland
11.4 Turk_Ahiska

[Impaler]

Still there is on 0.25x

Distance: 117.3761% / 1.17376149
Target: Abriekman | ADC: 0.25x RC
79.0 Ukrainian
11.8 Macedonian
6.8 Ossetian
2.4 Tabasaran

Maybe some Zaporozhian Cossack ancestry?

[Abriekman]

Maybe some Zaporozhian Cossack ancestry?

I have Kuban Cossack great great grandfather, but that Caucasian should be in Eastern European in this case on commercial tests, right?

[Impaler]

I have Kuban Cossack great great grandfather, but that Caucasian should be in Eastern European in this case on commercial tests, right?

Not really. The Caucasian on 23andMe is on the Iranian, Caucasian & Mesopotamian category. On other tests I don't know exactly.

[Abriekman]

Not really. The Caucasian on 23andMe is on the Iranian, Caucasian & Mesopotamian category. On other tests I don't know exactly.

That means I do not really have Caucasian ancestry

[J. Ketch]

If others are reducing the regional averages based on too much similarity, England probably only needs 4 averages (Southeast/Southwest/Midlands/North), and Dutch 3 (North/Central/South). I'll let Lukasz decide.

[Dunai]

I started to look into the K15 Updated source and I noticed some things that I think should be corrected and improved upon:

Sicily is an absolute mess, why in the first place do so many regions needed for a rather small island:
East_Sicilian,9.75,13.27,6.39,2.26,17.36,14.43,26. 95,6.76,0.52,0.03,0.00,0.06,0.25,1.60,0.36
Italy_Central_Sicily,8.94,14.64,4.78,1.31,17.60,14 .12,29.14,6.68,0.05,0.15,0.03,0.14,0.20,1.84,0.36
Italy_East_Sicily,8.07,12.81,4.41,1.82,18.07,15.44 ,30.59,6.26,0.22,0.18,0.13,0.07,0.23,1.20,0.48
Italy_West_Sicily,9.37,13.38,4.79,1.71,18.12,13.93 ,30.01,5.89,0.32,0.25,0.05,0.16,0.21,0.98,0.85
Sicily_Palermo,9.2,14.08,4.66,1.91,18.3,14.52,28.6 4,5.94,0.23,0.22,0.05,0.12,0.24,1.16,0.73
Sicily_Ragusa,11.12,12.93,4.73,2.63,17.95,13.97,27 .54,6.07,0.21,0.04,0.37,0.07,0.17,1.19,1.02
Sicily_Syracuse,11,15.57,4.67,2.10,18.30,13.89,27. 23,4.66,0.16,0.31,0.18,0,0.23,0.95,0.75
Sicily_Enna,7.39,16.93,4.77,1.83,18.16,12.71,29.27 ,6.38,0.3,0.15,0.02,0,0.39,1.10,0.59
Sicily_Caltanisetta,9.17,14.82,4.89,1.43,18.03,14. 07,28.22,6.64,0.12,0.12,0.15,0.08,0.37,1.51,0.38
Sicily_Trapani,11.70,14.05,4.75,1.88,18.94,13.03,2 7.77,5.58,0.30,0.25,0.09,0.03,0.11,1.09,0.39
Sicily_Messina,8.21,12.78,4.16,1.84,18.56,14.77,30 .57,6.29,0.14,0.15,0.11,0.05,0.30,1.39,0.28
Sicily_Catania,8.42,14.04,4.03,1.89,18.05,14.97,30 .16,5.57,0.26,0.26,0.03,0.15,0.23,1.42,0.49
Sicily_Agrigento,9.18,13.12,5.12,1.76,18.22,13.22, 30.11,5.65,0.81,0.04,0.15,0.24,0.21,1.32,0.85
West_Sicilian,9.76,18.32,4.70,3.27,17.76,10.64,26. 75,5.37,0.57,0.19,0.08,0.01,0.52,1.33,0.72

This should probably be better renamed to Walloon:
FRA_Belgica,30.06,25.90,9.94,7.14,13.16,4.86,5.19, 1.51,0.65,0.21,0.22,0.33,0.20,0.26,0.38

In these replace FRA with French:
FRA_Central,27.38,27.39,8.88,6.00,16.19,3.96,6.85, 1.54,0.33,0.16,0.21,0.29,0.25,0.37,0.19
FRA_Alsace,28.49,24.36,12.31,7.12,12.76,5.91,6.23, 1.50,0.20,0.31,0.14,0.20,0.14,0.13,0.19
FRA_Armorica,33.63,28.77,9.43,8.78,10.92,3.51,2.23 ,0.79,0.81,0.15,0.14,0.39,0.18,0.15,0.12
FRA_Septimania,23.44,30.07,6.86,5.00,20.86,2.32,7. 92,1.58,0.42,0.08,0.14,0.41,0.38,0.36,0.15
FRA_Provence,21.75,23.86,7.06,4.44,18.01,6.15,14.5 5,2.44,0.32,0.13,0.18,0.25,0.24,0.47,0.16
FRA_Aquitania,20.30,39.32,4.81,2.49,24.29,0.77,4.4 4,1.91,0.45,0.30,0.23,0.20,0.21,0.17,0.13

In these replace GR into Greek:
GR_Macedonia,10.845,12.2383333333,13.4233333333,6. 9733333333,15.06,14.4533333333,22.6516666667,3.188 3333333,0.1866666667,0.1683333333,0.2716666667,0,0 .3683333333,0.175,0
GR_Peloponese,10.215,14.68875,10.57125,5.87625,15. 37375,13.35875,23.97125,3.76375,1.17875,0.2175,0.1 6625,0.10875,0.35125,0.15625,0

Only one should remain, and renamed into Kosovar:
Kosovo_Albanian,12.9577777778,17.17,12.5977777778, 5.7488888889,16.2822222222,12.4444444444,19.543333 3333,2.4611111111,0.2788888889,0.1011111111,0.1266 666667,0.1477777778,0.1333333333,0,0
Albanian-Kosovo,14.93,15.66,11.94,6.23,18.27,10.32,19.43,2. 54,0.09,0.30,0.04,0.04,0.21,0.00,0.00

Here also only one should remain:
Macedonian,15.415,15.55,16.2835714286,10.425,13.62 5,9.8878571429,16.0614285714,2.0085714286,0.21,0.1 207142857,0.0114285714,0.1507142857,0.2257142857,0 .0028571429,0.0207142857
Macedonian_2,14.32,14.52,13.71,9.18,15.61,10.30,18 .71,2.88,0.09,0.17,0.05,0.18,0.26,0.02,0.00

Same here:
Norwegian,39.73,23.47,13.26,11.48,6.36,2.24,0.80,0 .14,0.81,0.08,0.50,0.72,0.32,0.06,0.04
Norway,39.19,23.96,13.30,11.79,6.40,2.39,0.24,0.07 ,0.47,0.05,1.08,0.58,0.25,0.17,0.06

Here I think only one should remain:
Southwest_French,18.23,33.82,8.51,5.22,23.54,1.68, 6.12,1.97,0.21,0.04,0.21,0.38,0.02,0.05,0.00
FRA_Aquitania,20.30,39.32,4.81,2.49,24.29,0.77,4.4 4,1.91,0.45,0.30,0.23,0.20,0.21,0.17,0.13

Same here:
Tuscan,14.30,20.09,6.44,2.92,19.82,10.04,20.77,4.7 5,0.26,0.01,0.08,0.01,0.22,0.21,0.08
Italy_Tuscany,17.25,20.05,6.52,2.79,20.41,9.07,19. 20,3.54,0.57,0.25,0.02,0.06,0.14,0.08,0.02

[Leto]

I will work on making new Hungarian averages for K15, since it's the other calculator good for Europeans. I also like that it has that map feature. I was thinking on K12b at first, but then I noticed how few European regions it provides, it just doesn't look as suited for generally European populations as Eurogenes does. Maybe some other time.
You could at least revise the Hungarian average for Dodecad. I don't even need 5 different HUN references. 15 Hungarian samples from various parts of the country would be enough.

[Leto]

...

[Abriekman]

K13 Updated Targeted

I use Ukrainian proxy for Polish and Russian

Distance: 261.7027% / 2.61702668
Target: Abriekman
54.9 Ukrainian_Belgorod
31.9 Ukrainian_Lviv
6.2 Bulgaria_Southcentral
2.8 Kurdish_Jewish
2.7 Algerian_Jewish
1.5 Mountain_Jew_Chechnya

The most accurate run for me, match my 23andme results perfectly, the same percentage of Eastern European as here

[Thracian]

I believe that we need a revision for K13.

I think, maybe I am wrong, some samples are contaminated or just outliers such as Greek Istanbul or Greek Macedonia Thrace. They have almost 1/8 foreign ancestry, or I am wrong as I mentioned.

On the other hand, we literally have samples from cities for Balkan Turks. I think they should be grouped like K12b.

[Chris596]

Here's PuntDNAL K15 for me, underrated calculator in my opinion:

Distance: 115.0292% / 1.15029196
Target: Chris | ADC: 0.25x RC
93.4 Serbian
3.0 Italian
2.6 Georgian
1.0 Japanese

Distance to: Chris (Top 5)
2.56803427 Serbian
4.82398176 Bosnian
5.69971929 Macedonian
7.58820137 Romanian
8.31798052 Bulgarian

http://vahaduo.genetics.ovh/puntdnal-k15-vahaduo.htm

[Ion Basescul]

Is Lucas no longer updating the averages?

[Lucas]

Is Lucas no longer updating the averages?

I am... I just wait for end of discussion and some general conclusion what to change:) I also agree there are especially too many Turkish, and specifically Balkan Turkish refs in K13. Should be groupped. Maybe by Kaspais.

[Ion Basescul]

I am... I just wait for end of discussion and some general conclusion what to change:) I also agree there are especially too many Turkish, and specifically Balkan Turkish refs in K13. Should be groupped. Maybe by Kaspais.

Please update these (https://www.theapricity.com/forum/showthread.php?310130-NEW!-All-Gedmatch-calculators-on-Vahaduo-ON-LINE/page220)then. I don't think that anyone has any objections about them.

Also, do you know what happened to the gradient in the "Distance" tab? Now everything is coloured blue, so it's not working as intended.