Gedmatch calculators on Vahaduo

[Leto]

Added, missed it before.

Can you please delete it and add the three I posted instead? It should be named Iranian, not Iran.

[Lucas]

Luke, please add these, they're good enough

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

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

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

[Lucas]

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

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

[Lucas]

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.

[Lucas]

@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.

[Lucas]

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

[Kaazi]

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

[Lucas]

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.

[Zanzibar]

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:

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

[Leto]

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.