Gedmatch calculators on Vahaduo

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08-31-2021, 10:31 PM
Leto

Quote:

Originally Posted by Lucas

Added, missed it before.

Can you please delete it and add the three I posted instead? It should be named Iranian, not Iran.
08-31-2021, 10:49 PM
Lucas

Quote:

Originally Posted by Leto

Luke, please add these, they're good enough

Code:

Pamiri_Wakhan,31.54,5.87,0,1.18,3.47,21.98,13.53,0.10,0.78,5.85,15.68,0.03

Code:

Iranian_Zoroastrian,28.13,0.61,1.06,0.49,6.18,9.13,4.68,0.27,12.55,0.22,36.39,0.29

Code:

Iranian_Central,27.04,0.96,0.37,0.64,6.16,7.35,5.77,0.78,12.87,0.66,36.64,0.68

ok
08-31-2021, 10:50 PM
Lucas

Quote:

Originally Posted by Joqool

Dear Lucas, please add these new Dzungaria and Tarim Basin ancient individuals into G25:

Code:

CHN_Dzungaria_EBA1:AYIM22BN,0.111547,0.031481,0.051288,0.127909,-0.052933,0.049364,-0.014336,-0.015461,-0.039678,-0.073077,0.005034,-0.007943,0.004608,-0.038534,0.028501,0.021347,-0.004172,-0.004054,-0.007165,0.008379,-0.012852,0.000495,0.004683,0.020846,0.000718 CHN_Dzungaria_EBA1:AYIM22BY,0.104717,0.014217,0.050534,0.114343,-0.055703,0.036535,-0.012926,-0.008538,-0.046631,-0.073623,0.00747,-0.007044,0.010555,-0.042388,0.038002,0.012861,-0.018123,0.004814,0.000126,-0.003252,-0.008859,0.008408,0.01405,0.020244,-0.012933 CHN_Dzungaria_EBA1:SSGM16,0.119514,0.026404,0.052043,0.134369,-0.046778,0.041276,-0.00705,-0.017538,-0.050517,-0.078179,0.005359,0.00045,0.00773,-0.036057,0.03963,0.016176,-0.01343,-0.005321,-0.007039,0.005378,-0.01697,0.004081,0.012818,0.025425,-0.00455 CHN_Dzungaria_EBA2:G218M5-2,0.10927,-0.008124,0.056945,0.122418,-0.062781,0.041276,-0.011516,-0.023999,-0.044586,-0.071437,0.004872,0.003147,0.009663,-0.049269,0.029044,0.021745,-0.006389,0.00076,-0.011941,0.005503,-0.01697,0.008037,0.018241,0.022533,-0.003473 CHN_Dzungaria_EBA2:G218M5-3N,0.104717,-0.035544,0.054305,0.115958,-0.057549,0.035698,-0.022091,-0.019384,-0.037632,-0.072165,0.001624,0.001499,0.02438,-0.04225,0.030673,0.008221,-0.020079,0.002154,0.003771,0.005378,-0.024083,0.012365,0.012078,0.025907,-0.003952 CHN_Tarim_EMBA1:GMGM1,0.094473,-0.121864,0.067127,0.192832,-0.11356,0.038208,-0.043242,-0.060459,-0.045813,-0.100594,0.024521,-0.015137,0.025718,-0.068123,0.022801,0.027844,-0.025295,-0.004054,-0.006788,-0.001251,-0.040928,0.00136,0.021815,0.008555,-0.0097 CHN_Tarim_EMBA1:L5209,0.104717,-0.099522,0.075047,0.203814,-0.117868,0.047133,-0.053347,-0.063459,-0.042336,-0.097679,0.028418,-0.014087,0.033151,-0.074591,0.029451,0.024396,-0.017993,-0.00266,0.004525,-0.004002,-0.052158,0.012489,0.035126,0.020003,-0.003353 CHN_Tarim_EMBA1:L5213,0.101303,-0.103584,0.075424,0.198646,-0.115406,0.053268,-0.047237,-0.067382,-0.049086,-0.096767,0.026469,-0.01124,0.020367,-0.072802,0.030809,0.025325,-0.015125,-0.001014,0.003017,-0.011255,-0.05091,0.006677,0.019843,0.013616,-0.00479 CHN_Tarim_EMBA1:L6101,0.104717,-0.100537,0.078441,0.202845,-0.107712,0.029841,-0.055698,-0.057228,-0.043564,-0.08966,0.022572,-0.01169,0.020069,-0.06193,0.02253,0.031954,-0.01682,0.0019,0.008799,-0.00075,-0.057024,-0.00371,0.017378,0.007471,-0.006706 CHN_Tarim_EMBA1:L6103,0.104717,-0.101553,0.078818,0.201876,-0.109559,0.051037,-0.042537,-0.059997,-0.046427,-0.093487,0.027444,-0.015137,0.022448,-0.079271,0.022122,0.018828,-0.011604,-0.004687,0.003268,-0.013757,-0.052782,0.000866,0.020952,0.012773,-0.017244 CHN_Tarim_EMBA1:L6105,0.094473,-0.103584,0.072407,0.208336,-0.125562,0.051316,-0.048882,-0.061844,-0.039064,-0.093305,0.037512,-0.015736,0.026462,-0.074729,0.019272,0.01538,-0.029858,-0.003041,-0.005279,-0.012006,-0.05116,0.014096,0.025389,0.013737,-0.006227 CHN_Tarim_EMBA1:L6106,0.092197,-0.102568,0.072407,0.215119,-0.117868,0.054105,-0.051232,-0.058151,-0.036814,-0.089842,0.03264,-0.01139,0.029137,-0.071151,0.033387,0.019093,-0.01369,0.002027,0.008547,-0.01063,-0.052907,0.002968,0.025019,0.012652,-0.012454 CHN_Tarim_EMBA1:XHM75,0.110408,-0.09546,0.064865,0.207367,-0.118176,0.0502,-0.048412,-0.066228,-0.035178,-0.100594,0.028743,-0.013488,0.027651,-0.074454,0.02633,0.022408,-0.025425,-0.001014,-0.003142,-0.004002,-0.044921,0.018177,0.029086,0.020244,-0.014609 CHN_Tarim_EMBA1:XHM100,0.106994,-0.102568,0.070522,0.204783,-0.11356,0.044344,-0.047472,-0.063459,-0.034769,-0.104239,0.028418,-0.012139,0.022002,-0.071426,0.023072,0.022408,-0.019036,0.000633,-0.003771,-0.012631,-0.048914,0.014962,0.024157,0.015183,-0.003712 CHN_Tarim_EMBA1:XHM110,0.108132,-0.093429,0.067505,0.198,-0.109251,0.044344,-0.052877,-0.05169,-0.044791,-0.099319,0.022897,-0.014387,0.020069,-0.071977,0.030944,0.025855,-0.020992,-0.001267,0.005656,0.003752,-0.052033,0.005564,0.018117,0.013375,-0.008502 CHN_Tarim_EMBA1:XHM135,0.104717,-0.097491,0.074293,0.193155,-0.117253,0.051316,-0.046532,-0.058151,-0.046631,-0.097132,0.030367,-0.014387,0.023934,-0.061655,0.024565,0.021612,-0.019427,-0.004561,-0.001634,0,-0.049163,0.006183,0.024033,0.014701,-0.007784 CHN_Tarim_EMBA2:11KBM1,0.104717,-0.118817,0.078441,0.199938,-0.088016,0.05271,-0.041127,-0.053998,-0.035587,-0.086015,0.022572,-0.012739,0.02334,-0.052985,0.002443,0.02612,-0.003651,0.007095,-0.003771,-0.01013,-0.057773,0.011376,0.019843,0.02663,0.002155

nice

Fucking crazy people:) They must look somewhat Mestizo:)

Target: CHN_Tarim_EMBA1:GMGM1
Distance: 17.2020% / 0.17201982
45.8 Khanty
32.8 Jatt_Pathak
17.4 Karitiana
3.0 Latvian
1.0 Kalash
08-31-2021, 10:54 PM
Lucas

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.

Nearly two years after release, strange why so slow.
08-31-2021, 10:57 PM
Lucas

Quote:

Originally Posted by Kaazi

@Lucas, do you know that a huge amount of South and Central Asian G25 have been processed this week. Samples from GSA Chinese dataset and Reich Lab dataset were processed. https://ngdc.cncb.ac.cn/bioproject/browse/PRJCA000456

1. Sarikoli/Wakhi (Tajik group) from Xinjiang, China
2. Tajiks from Badakhshan, Tajikistan
https://drive.google.com/file/d/12US...ew?usp=sharing

3. Balti samples from North Pakistan (https://academic.oup.com/mbe/article/38/4/1529/6025184)
https://docs.google.com/document/d/1...it?usp=sharing

4. Kashmiri samples from Pakistan
5. HGDP Punjabi Lahore Pakistan samples
https://docs.google.com/document/d/1...t?usp=drivesdk
https://www.dropbox.com/s/e5t7nc71qg...n_G25.txt?dl=1

Finally

6. Gujaratis from Houston (GIH)
7. Indian Telugus from UK
8. Sri Lankan Tamils from UK
https://docs.google.com/document/d/1...it?usp=sharing

Ok added, except Sarikoli/Wakhi I can't find.
08-31-2021, 11:02 PM
Lucas

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.

added
09-01-2021, 04:22 AM
Kaazi

Quote:

Originally Posted by Lucas

Ok added, except Sarikoli/Wakhi I can't find.

Altvred from AG and Genoplot has all the Sarikoli and Badakhshan samples which you don't have.

You have not added all the Gujarati, Tamil and Telugu samples I've provided you.
https://docs.google.com/document/d/1...it?usp=sharing
09-01-2021, 01:15 PM
Lucas

Quote:

Originally Posted by Kaazi

Altvred from AG and Genoplot has all the Sarikoli and Badakhshan samples which you don't have.

You have not added all the Gujarati, Tamil and Telugu samples I've provided you.
https://docs.google.com/document/d/1...it?usp=sharing

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.
09-01-2021, 05:22 PM
Zanzibar

Quote:

Originally Posted by Lucas

nice

Fucking crazy people:) They must look somewhat Mestizo:)

Target: CHN_Tarim_EMBA1:GMGM1
Distance: 17.2020% / 0.17201982
45.8 Khanty
32.8 Jatt_Pathak
17.4 Karitiana
3.0 Latvian
1.0 Kalash

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
09-01-2021, 06:56 PM
Leto

Quote:

Originally Posted by Kaazi

Altvred from AG and Genoplot has all the Sarikoli and Badakhshan samples which you don't have.

You have not added all the Gujarati, Tamil and Telugu samples I've provided you.
https://docs.google.com/document/d/1...it?usp=sharing

Can someone add the Tajiks from a 2019 study? But those samples should be named properly first.

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