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Salkhit Pleistocene sample with High denisovan and Eurasian
#16
(03-27-2024, 02:12 AM)tipirneni Wrote: I see you are treating the single sample ancient culture Siberian Denisovan as a human admix. Unfortunately I don't get paid for educating such analysis. When I get paid to speak so I will definitely reach out to you seeking monetary compensation

You don't seems to understand F-stat analysis. You can't educate others for something that you don't understand.
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#17
(03-25-2024, 08:42 AM)TanTin Wrote: I did some F4 tests and I can't confirm such  High Denisovan components in Salkhit.

16293 salkhit1_noUDG.SG salkhit1 Salkhit_skullcap Skull 2020

Test has been performed  with V52.HO dataset.

Here are some F4-stats:

Show Content

On opposite, I see more Neanderthal (Vindija) markers than Denisovan. This result is only for a group of  76803 markers. The smaller number of snips could be the reason for such result and lower Z value.

Most samples will have way more Neanderthal than Denisovan so that stat will mostly just show Neanderthal compared to Ust'-Ishim. Maybe you can think up an f4-ratio or something to calculate Denisovan.
But I also get positive with Chimp in place of Denisova, contamination or lot of damage?
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#18
The Salkhit genome is a little screwy. It's not really worth trying to analyze. I've already looked at this with Harvard. It acts like it has some kind of ancient and unknown archaic that branches before Denisovan. It looks like there's some serious type of issue here with the data.
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#19
(03-29-2024, 01:12 AM)Chad Wrote: The Salkhit genome is a little screwy. It's not really worth trying to analyze. I've already looked at this with Harvard. It acts like it has some kind of ancient and unknown archaic that branches before Denisovan. It looks like there's some serious type of issue here with the data.

The unknown archaic is exactly what I am searching.  Salkhit is one of the individuals where we may confirm more or less for such  unknown archaic components. However the branching is much earlier in my estimations.
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#20
I did variant calls on the Salkhit genome a while ago.
https://www.mediafire.com/file/zo1rj1she...9.zip/file
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#21
No, it would be parallel to that found in West Africans. It's almost certainly just noise. Issues with processing.
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#22
(03-29-2024, 10:37 AM)Norfern-Ostrobothnian Wrote: I did variant calls on the Salkhit genome a while ago.
https://www.mediafire.com/file/zo1rj1she...9.zip/file

Thanks for sharing your data. I did  a test projection on PCA - there is some difference with the officially provided genome (in V52 HO dataset), however the difference is not so critical.  I think  Salkhit is a very good example of early modern HS. 
The missingness for this sample is near 86 %.  That means we have only 14%  of its data. We can't expect miracle from such data.
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#23
Target: Mongolia_Salkhit_UP.SGConfusedalkhit1_noUDG.SG__BC_32923__Cov_12.87%
Distance: 3.7828% / 0.03782780 | ADC: 0.25x RC
21.8 Russia_Yana_UP.SG
17.8 Bulgaria_BachoKiro_LatePleistocene
16.0 China_Guangxi_Longlin_Epipaleolithic
13.4 Japan_Honshu_EarlyJomon.SG
12.4 Hungary_Hun
5.8 Turkey_Kumtepe_N_lc.SG
5.6 Vanuatu_200BP_oPolynesian
4.0 Hungary_Conqueror_Elite
3.2 South_Africa_1900BP.SG

Target: Mongolia_Salkhit_UP.SGConfusedalkhit1_noUDG.SG__BC_32923__Cov_12.87%
Distance: 5.6397% / 0.05639683 | ADC: 0.25x RC
47.0 Jarawa
13.0 Han
12.0 TUR_Barcin_N
10.4 Yamnaya_RUS_Samara
5.6 ETH_4500BP
5.4 WHG
5.0 Nganassan
1.6 BRA_LapaDoSanto_9600BP

Code:
Distance to:    Mongolia_Salkhit_UP.SG:salkhit1_noUDG.SG__BC_32923__Cov_12.87%
0.10673698    Bulgaria_BachoKiro_LatePleistocene:BB7-240_noUDG__BC_43421__Cov_74.54%
0.11131859    Bulgaria_BachoKiro_LatePleistocene:CC7-335_noUDG__BC_43167__Cov_67.88%
0.11267717    Russia_Ust_Ishim.DG:UstIshim_snpAD.DG__BC_42416__Cov_99.96%
0.11296604    Bulgaria_BachoKiro_LatePleistocene:F6-620_noUDG__BC_41156__Cov_92.53%
0.12566976    Russia_Yana_UP.SG:Yana_old_noUDG.SG__BC_29900__Cov_99.92%
0.12641018    Russia_Yana_UP.SG:Yana_old2_noUDG.SG__BC_29900__Cov_98.93%
0.12974836    China_Tianyuan:Tianyuan__BC_37615__Cov_76.92%
0.13604433    HUN_Fonyód_EMA:FVD003__AD_450__Cov_2.18%
0.13711253    Romania_Oase_UP_enhanced:Oase1_noUDG__BC_38072__Cov_33.47%
0.13720885    Mongolia_Khuvsgul_MLBALateMedieval:UUS002__AD_1346__Cov_81.16%
0.13841259    Laos_Hoabinhian.SG:La368.SG__BC_5922__Cov_50.18%
0.14107101    Malaysia_Hoabinhian.WGC:Ma911.WGC__BC_2353__Cov_12.87%
0.14293644    China_AmurRiver_Paleolithic:NE20_noUDG__BC_31642__Cov_81.92%
0.14402982    China_Xinjiang_Xikakandasayi_Historical:C795__AD_330__Cov_46.65%
0.14600920    China_Xinjiang_G218_Historical:C3326.SG__AD_1338__Cov_87.67%
0.14717572    Czechia_Bohemia_UP_HG:ZKU002_noUDG.SG__BC_32104__Cov_96.56%
0.14915807    Indian_GreatAndaman_100BP.SG:Andaman_noUDG.SG__AD_1860__Cov_98.14%
0.15030183    China_Xinjian_IA.SG:M010_noUDG.SG__BC_342__Cov_25.62%
0.15117105    Mongolia_Arkhangai_EarlyMedieval_o:OLN009__AD_875__Cov_84.46%
0.15127583    Mongolia_LBA_MongunTaiga_3:I12976__BC_1382__Cov_72.92%
0.15264973    Kazakhstan_Karluk_2.SG:DA230_noUDG.SG__AD_1067__Cov_63.88%
0.15349712    RUS_LetuchayaMysh_7000BP:LetuchayaMysh__BC_4832__Cov_21.05%
0.15351318    Mongolia_Arkhangai_LateMedieval:DEE001__AD_1410__Cov_76.60%
0.15470796    Kazakhstann_OtrarCulture_LIA_o:KNT004__AD_297__Cov_81.85%
0.15536439    KAZ_Karakhanid:DA205__AD_950__Cov_37.39%

Very large distances... but I guess to be expected.

Distance to: Mongolia_Salkhit_UP.SGConfusedalkhit1_noUDG.SG__BC_32923__Cov_12.87%
0.74718867 Spy_final_provisional.SG
0.74788442 Mezmaiskaya1_final_provisional.SG
0.75341334 VindijaG1_final_provisional.SG
0.75588754 Mezmaiskaya2_final_provisional.SG
0.77009335 Les_Cottes_final_provisional.SG
0.77409512 Denisova11.SG
0.77760547 Goyet_final_provisional.SG
0.78088775 Ancestor.REF
0.78645009 Vindija_snpAD.DG
0.78677914 Chagyrskaya.SG
0.78776323 Altai_snpAD.DG
0.79078078 Chimp.REF
0.79332972 Denisova_snpAD.DG
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#24
It's garbage. I wouldn't use Salkhit for any type of analysis.
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#25
- G25 is not really meant for paleolithic samples
- Salkhit appears to have ~1/3 modern European contamination
Other than that from a superficial glance it didn't look like anything terribly implausible. Mostly Yana + Tianyuan, maybe some sort of proto-East/Asian or modern East/Southeast-Asian contamination also. But yeah, unfortunately it's a case of 'nothing to see here'.
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#26
Could you check out if my version would be of better quality?
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#27
I found coordinates made on my files
Code:
Mongolia_Salkhit_UP:salkhit1,-0.001138,-0.169593,-0.039221,0.061693,0.017234,-0.01506,0.017391,-0.023999,0.035178,-0.004009,0.000325,-0.003897,0.007284,-0.004679,-0.004479,-0.001326,0.007302,0.006968,0.014455,0.015632,0.001123,-0.001484,-0.007148,-0.00735,-0.017843
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#28
(03-30-2024, 07:23 PM)Norfern-Ostrobothnian Wrote: I found coordinates made on my files
Code:
Mongolia_Salkhit_UP:salkhit1,-0.001138,-0.169593,-0.039221,0.061693,0.017234,-0.01506,0.017391,-0.023999,0.035178,-0.004009,0.000325,-0.003897,0.007284,-0.004679,-0.004479,-0.001326,0.007302,0.006968,0.014455,0.015632,0.001123,-0.001484,-0.007148,-0.00735,-0.017843

Target: Mongolia_Salkhit_UPConfusedalkhit1
Distance: 4.7563% / 0.04756322
45.4 Jarawa
13.2 Yamnaya_RUS_Samara
12.4 Han
6.6 Nganassan
6.2 ETH_4500BP
6.2 Levant_PPNB
4.8 WHG
2.6 BRA_LapaDoSanto_9600BP
1.4 TUR_Barcin_N
0.6 IRN_Ganj_Dareh_N
0.6 IRN_Shahr_I_Sokhta_BA2_I8728

As been noted, this probably doesn't make any sense because the sample should predate those of the populations being compared to.
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#29
Hypothetically, I would estimate a non-contaminated Salkhit to, in G25, take mostly Yana, Tianyuan, and maybe random other populations in no-man's land, e.g. Onge, Ust-Ishim, BachoKiro, Kostenki, etc. It producing large amounts of Yamnaya and WHG is highly suspect.
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#30
I don't see any contamination with Salkhit. The connections that we see to many populations appear for a reason. You may also test to Japan, TSI, Ancient greeks and WHG.. Salkhit is something very special. It has the highest levels of some archaic markers and the lowest levels of later African related markers. That makes it very special.
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