Gedmatch calculators on Vahaduo

**Leto** · 10-21-2020, 06:31 PM

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.

**Lucas** · 10-22-2020, 12:35 PM

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

**Leto** · 10-22-2020, 01:37 PM

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** · 10-22-2020, 02:18 PM

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?

**Tacitus** · 10-22-2020, 02:36 PM

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!

Compare to the Italian_Jewish sample in Eurogenes K13:

Spoiler!

**Dr_Maul** · 10-22-2020, 06:39 PM

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

**Leto** · 10-22-2020, 07:02 PM

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.

**Leto** · 10-22-2020, 08:49 PM

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!

**vbnetkhio** · 10-22-2020, 08:53 PM

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

**~~Maguzanci~~** · 10-23-2020, 04:56 PM

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.