Gedmatch calculators on Vahaduo

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09-01-2021, 07:25 PM
Peterski

Quote:

Originally Posted by Ajeje Brazorf

Not only that: this morning the modern populations of Russian_Tver, Russian_Smolensk, Russian_Orel, Russian_Kursk were updated and new ones were added, such as Russian_Belgorod, Russian_Kaluga, Russian_Krasnoborsky, Russian_Leshukonsky, Russian_Pinezhsky, Russian_Pskov, Russian_Ryazan and Russian_Yaroslavl.

These new Russians are from Zhernakova study ("Genome-wide sequence analyses of ethnic populations across Russia") ???
09-01-2021, 07:32 PM
Lucas

Quote:

Originally Posted by Joqool

The fits are terrible though. I don't think its possible to model them with modern day pops and get a great fit. Probably. They could also be blond since blond hair is theorized to originate from ANE and these Tarim mummies were predominantly ANE relic populations.

Also what happened to the various Indonesian, Oceanian, African and Iranian_Turkmen populations in the new updated G25? They are gone from the spreadsheet. I have some of these pops, so I can post the codes for you.

Furthermore, please replace the Udmurt average in G25 with this one instead:

Code:

Udmurt,0.106766,-0.02894263333,0.07966043333,0.06559053333,-0.03459096667,0.0077996,0.009588333333,0.01086876667,-0.01240093333,-0.03628933333,0.02159776667,-0.0055001,0.01525263333,-0.03452026667,-0.01097073333,-0.0050516,-0.002533766667,-0.0009586666667,-0.01029463333,-0.0097755,0.0004866,0.0032397,-0.0045601,0.0095032,-0.00283

Please repost. Simply I can't resist adding manually new pops from Davidski sheets to old ones so I just replaced. But also must be reason why he didn't add them, maybe they are too noisy or what in G25?
09-01-2021, 07:35 PM
Peterski

No they are not from Zhernakova, I remember they are from a different study.

Zhernakova samples are still not available after 2 years.
09-01-2021, 07:54 PM
Komintasavalta

Quote:

Originally Posted by Tomenable

These new Russians are from Zhernakova study ("Genome-wide sequence analyses of ethnic populations across Russia") ???

They're from Jeong et al. 2019 ("The genetic history of admixture across inner Eurasia").

Code:

$ curl https://reichdata.hms.harvard.edu/pub/datasets/amh_repo/curated_releases/V44/V44.3/SHARE/public.dir/v44.3_HO_public.anno -so ho.anno $ curl 'https://drive.google.com/uc?export=download&id=1HYrDwxEXv82DvDLoq736pS5ZTGJA4dn5' -so mis $ printf %s\\n Russian_Belgorod Russian_Kaluga Russian_Krasnoborsky Russian_Leshukonsky Russian_Pinezhsky Russian_Pskov Russian_Ryazan Russian_Yaroslavl|awk -F: 'NR==FNR{a[$0];next}$1 in a' - mis|cut -d: -f2|cut -d, -f1|awk -F\\t 'NR==FNR{a[$0];next}$2 in a' - ho.anno|cut -f2,4,8,9|tr \\t \; Rakr-203;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Krasnoborsky;Arkhangelsk region, Krasnoborsky district Rakr-205;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Krasnoborsky;Arkhangelsk region, Krasnoborsky district Rakr-237;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Krasnoborsky;Arkhangelsk region, Krasnoborsky district Rakr-248;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Krasnoborsky;Arkhangelsk region, Krasnoborsky district Rakr-341;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Krasnoborsky;Arkhangelsk region, Krasnoborsky district Rakr-345;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Krasnoborsky;Arkhangelsk region, Krasnoborsky district Rakrlsh-002;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Leshukonsky;Arkhangelsk region, Leshukonsky district Rakrlsh-140;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Leshukonsky;Arkhangelsk region, Leshukonsky district Rakrlsh-143;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Leshukonsky;Arkhangelsk region, Leshukonsky district Rakrlsh-144;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Leshukonsky;Arkhangelsk region, Leshukonsky district Rakrlsh-149;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Leshukonsky;Arkhangelsk region, Leshukonsky district Rbgp-200;JeongNatureEcologyEvolution2019;Russian;Belgorod region, Krasnensky, Prohorovsky, Yakovlevsky districts Rbgp-201;JeongNatureEcologyEvolution2019;Russian;Belgorod region, Krasnensky, Prohorovsky, Yakovlevsky districts Rbgp-203;JeongNatureEcologyEvolution2019;Russian;Belgorod region, Krasnensky, Prohorovsky, Yakovlevsky districts Rbgp-205;JeongNatureEcologyEvolution2019;Russian;Belgorod region, Krasnensky, Prohorovsky, Yakovlevsky districts Rkbo-12;JeongNatureEcologyEvolution2019;Russian;Kaluga region, Baryatinsky, Borovsky districts Rkbo-16;JeongNatureEcologyEvolution2019;Russian;Kaluga region, Baryatinsky, Borovsky districts Rkbo-44;JeongNatureEcologyEvolution2019;Russian;Kaluga region, Baryatinsky, Borovsky districts Rkbo-58;JeongNatureEcologyEvolution2019;Russian;Kaluga region, Baryatinsky, Borovsky districts RPin-114;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Pinezhsky;Arkhangelsk region, Pinezhsky district RPin-123;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Pinezhsky;Arkhangelsk region, Pinezhsky district RPin-143;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Pinezhsky;Arkhangelsk region, Pinezhsky district RPin-145;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Pinezhsky;Arkhangelsk region, Pinezhsky district RPin-151;JeongNatureEcologyEvolution2019;Russian_Archangelsk_Pinezhsky;Arkhangelsk region, Pinezhsky district Rps-002;JeongNatureEcologyEvolution2019;Russian;Pskov region, Ostrov district Rps-004;JeongNatureEcologyEvolution2019;Russian;Pskov region, Ostrov district Rps-006;JeongNatureEcologyEvolution2019;Russian;Pskov region, Ostrov district Rps-012;JeongNatureEcologyEvolution2019;Russian;Pskov region, Ostrov district Rps-090;JeongNatureEcologyEvolution2019;Russian;Pskov region, Porkhov district Rps-091;JeongNatureEcologyEvolution2019;Russian;Pskov region, Porkhov district Rps-098;JeongNatureEcologyEvolution2019;Russian;Pskov region, Porkhov district Rrzm-08;JeongNatureEcologyEvolution2019;Russian;Ryazan region, Mihailovsky district Rrzm-10;JeongNatureEcologyEvolution2019;Russian;Ryazan region, Mihailovsky district Rrzm-13;JeongNatureEcologyEvolution2019;Russian;Ryazan region, Mihailovsky district Rrzm-16;JeongNatureEcologyEvolution2019;Russian;Ryazan region, Mihailovsky district Rrzm-83;JeongNatureEcologyEvolution2019;Russian;Ryazan region, Mihailovsky district Rrzs-3;JeongNatureEcologyEvolution2019;Russian;Ryazan region, Spassky district Rrzs-7;JeongNatureEcologyEvolution2019;Russian;Ryazan region, Spassky district Rrzs-11;JeongNatureEcologyEvolution2019;Russian;Ryazan region, Spassky district Rrzs-32;JeongNatureEcologyEvolution2019;Russian;Ryazan region, Spassky district Rrzs-58;JeongNatureEcologyEvolution2019;Russian;Ryazan region, Spassky district Rrzs-66;JeongNatureEcologyEvolution2019;Russian;Ryazan region, Spassky district Rrzs-88;JeongNatureEcologyEvolution2019;Russian;Ryazan region, Spassky district RYAR-173;JeongNatureEcologyEvolution2019;Russian;Yaroslavl region RYAR-223;JeongNatureEcologyEvolution2019;Russian;Yaroslavl region RYAR-232;JeongNatureEcologyEvolution2019;Russian;Yaroslavl region

There's a huge amount of samples from that paper in 1240K+HO:

Code:

$ awk -F\\t '$4=="JeongNatureEcologyEvolution2019"' ho.anno|cut -f8|sort|uniq -c|sort -rn|grep -Ev 'Ignore|outlier'|sed 's/^ *//' 53 Bashkir 49 Russian 37 Buryat 34 Mongol 23 Tajik 22 Mordovian 19 Tatar_Siberian 18 Kazakh 17 Uzbek 17 Azeri 17 Altaian 15 Khakass 15 Karelian 15 Adygei 14 Karakalpak 13 Tatar_Kazan 13 Georgian 13 Dungan 12 Karachai 10 Veps 10 Udmurt 10 Tuvinian 10 Tatar_Mishar 10 Tabasaran 10 Nogai_Stavropol 10 Nivh 10 Nanai 10 Moldavian 10 Lak 10 Khamnegan 10 Ingushian 9 Kabardinian 9 Gagauz 9 Circassian 8 Ukrainian_North 8 Kurd 8 Khakass_Kachin 8 Kaitag 8 Ezid 8 Evenk_Transbaikal 8 Darginian 8 Avar 8 Armenian_Hemsheni 8 Altaian_Chelkan 8 Abazin 7 Shor_Mountain 6 Shor_Khakassia 6 Russian_Archangelsk_Krasnoborsky 6 Ossetian 6 Nogai_Astrakhan 6 Kubachinian 6 Chuvash 6 Besermyan 5 Tubalar 5 Tatar_Siberian_Zabolotniye 5 Russian_Archangelsk_Pinezhsky 5 Russian_Archangelsk_Leshukonsky 5 Evenk_FarEast 4 Ukrainian 4 Kyrgyz_Tajikistan 3 Todzin 3 Negidal 2 Kazakhstan_Botai_Eneolithic
09-01-2021, 07:56 PM
Peterski

Yes from Jeong.

Zhernakova study is also from 2019 but samples not public yet.
09-01-2021, 09:24 PM
Lucas

Quote:

Originally Posted by Joqool

Furthermore, please replace the Udmurt average in G25 with this one instead:

Code:

Udmurt,0.106766,-0.02894263333,0.07966043333,0.06559053333,-0.03459096667,0.0077996,0.009588333333,0.01086876667,-0.01240093333,-0.03628933333,0.02159776667,-0.0055001,0.01525263333,-0.03452026667,-0.01097073333,-0.0050516,-0.002533766667,-0.0009586666667,-0.01029463333,-0.0097755,0.0004866,0.0032397,-0.0045601,0.0095032,-0.00283

changed and post those references too again
09-02-2021, 02:03 AM
Kaazi

Quote:

Originally Posted by Lucas

Your link is wrong, check it out. I will add when you give me good:) Telugu, Tamil and Gujarat are already in Davidski sheet official so I copied it, there is something more for them in those link?

I don't know users from those portals. Please give me directly if you want to add.

Damn the link expires so fast. All of the Telugu, Sri Lankan Tamil and Gujarati.

https://docs.google.com/document/d/1...it?usp=sharing
09-02-2021, 12:21 PM
Lucas

Quote:

Originally Posted by Kaazi

Damn the link expires so fast. All of the Telugu, Sri Lankan Tamil and Gujarati.

https://docs.google.com/document/d/1...it?usp=sharing

Added
09-02-2021, 03:08 PM
Ajeje Brazorf

For Eurogenes K13:

Code:

Aboriginal_Australian,0,0,0,0,0,0,14.73,11.06,4.79,0.2,65.9,3.33,0
09-02-2021, 03:11 PM
Lucas

Quote:

Originally Posted by Ajeje Brazorf

For Eurogenes K13:

Code:

Aboriginal_Australian,0,0,0,0,0,0,14.73,11.06,4.79,0.2,65.9,3.33,0

Added

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