Gedmatch calculators on Vahaduo

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10-21-2020, 06:31 PM
Leto

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

Code:

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.
10-22-2020, 12:35 PM
Lucas

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

Code:

RU_Kostroma,4.1233333333,6.725,0.2983333333,0.5233333333,18.6116666667,58.64,0.355,0.0433333333,1.2933333333,0.73,8.64,0.0166666667 RU_Tver,4.15,2.92,0.045,0.445,19.9625,59.795,0.7975,0,0.8975,0.6275,10.3575,0 RU_Smolensk,3.7957142857,1.3257142857,0.1385714286,0.1728571429,21.8271428571,58.85,0.6385714286,0.0485714286,1.38,0.3014285714,11.5257142857,0 RU_Oryol,4.9257142857,2.31,0.2128571429,0.1485714286,20.9685714286,57.11,0.6085714286,0,0.9242857143,0.1585714286,12.6285714286,0 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.

Code:

RU_Pskov 2.8371428571,2.0057142857,0.2414285714,0.3528571429,20.4271428571,62.6414285714,0.7871428571,0.0414285714,1.3828571429,0.0142857143,8.9757142857,0.2914285714 RU_Ryazan 4.84,4.0723076923,0.3376923077,0.2323076923,20.1553846154,56.1953846154,0.8115384615,0.1961538462,0.7992307692,0.3838461538,11.9053846154,0.0661538462
10-22-2020, 01:37 PM
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.
10-22-2020, 02:18 PM
Ajeje Brazorf

Quote:

Originally Posted by Leto

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

Code:

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?
10-22-2020, 02:36 PM
Tacitus

Quote:

Originally Posted by Leto

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

Code:

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:

Spoiler!

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:

Spoiler!

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
10-22-2020, 06:39 PM
Dr_Maul

Afghan_Hazara is missing the 'f' (its spelled Aghan Hazara) on the Eurogenes K13 updated spreadsheet
10-22-2020, 07:02 PM
Leto

Quote:

Originally Posted by Dr_Maul

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.
10-22-2020, 08:49 PM
Leto

Quote:

Originally Posted by Lucas

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

Spoiler!

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
10-22-2020, 08:53 PM
vbnetkhio

Quote:

Originally Posted by Leto

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

Code:

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
10-23-2020, 04:56 PM
Maguzanci

Quote:

Originally Posted by Leto

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

Code:

Malay_Malaysia_1,4.37,0.78,0.3,58.6,0.72,1.13,16.96,0,0.91,15.36,0.87,0 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_13,4.21,0.76,1.53,56.75,0,0.88,16.22,0,0,17.22,2.42,0 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_15,3.89,0,0,61.66,0,1.6,13.78,0,0,15.64,3.44,0 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

Code:

Malay_Malaysia,4.24,1.18,0.35,59.65,0.40,0.99,17.38,0.19,0.40,13.55,1.47,0.19

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:

Code:

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.