Any idea what I'm doing wrong that I'm getting results like this with every model?:
(p values are good but Feasibility is always FALSE and there are crazy percentages)
https://i.postimg.cc/ZKS9zrKL/example.png
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Any idea what I'm doing wrong that I'm getting results like this with every model?:
(p values are good but Feasibility is always FALSE and there are crazy percentages)
https://i.postimg.cc/ZKS9zrKL/example.png
Try this
Lefts: "Russia_Samara_EBA_Yamnaya.AG,Greece_NeaNikomedeia _EN.SG,Luxembourg_Mesolithic.DG"
Rights: "Mbuti.DG,Ju_hoan_North.DG,Russia_MA1_UP.SG,Russia _Steppe_Eneolithic.AG,Iran_Luristan_PPN.SG,Georgia _Satsurblia_LateUP.SG,Russia_DevilsCave_N.SG,Italy _Epigravettian.SG,Turkey_Central_Boncuklu_PPN.AG"
I dont know if it's a good model but it gave me alright results.
https://i.imgur.com/Le8kBnU.png
With your listed references:
Attachment 143685
With Barcin:
Attachment 143686
neolithic model on the french
https://i.imgur.com/B12dOef.png
Steppe/ANF/WHG admix model for this Gaul from central France:
Attachment 143696
A Sinstashta model of myself with drb's reference populations:
Attachment 143726
Attachment 143727
England_LIA / Denmark_EarlyViking
Attachment 143776
England_MIA / Norway_IA
Attachment 144061
Attachment 144062
Attachment 144063
Attachment 144064
Playing around with the reference pops and managed to get the P value up slightly
Attachment 144078
Attachment 144077
Here's what I get:
Attachment 144065
Attachment 144066
Attachment 144067
Attachment 144068
I haven't tried it with your references.
this is what I get when using your NW populations as a source combined with Russia Sunghir, which seems to me to be one of the best proxies for Slavs
https://i.postimg.cc/wvnfCNY0/image.png
With your references:
Attachment 144086
With the additional references, it does not improve the p value for me.
Attachment 144087
A guy from Russia ran my Ancestry kit.
Models that passed
https://i.postimg.cc/5HLD7gVg/IMG-20...103802-054.jpg
https://i.postimg.cc/NymZJDcC/IMG-20...103807-159.jpg
https://i.postimg.cc/CZk9P7g2/IMG-20...103816-345.jpg
Models with Thracian and Illyrian sources failed, only the Glinoe Scythian, which he said is actually Dacian worked.
It varies based on the samples used:
Attachment 144105
Attachment 144106
Attachment 144107
Attachment 144108
Not really sure that in most cases qpAdm can reliably distinguish between Celtic and Germanic populations.
I can model myself with just Celtic sources also:
Attachment 144109
Attachment 144110
Attachment 144111
Attachment 144112
Attachment 144113
And then Modeling with just Germanic sources:
Attachment 144114
Attachment 144115
Attachment 144116
Yeah, I've noticed that as well, which is interesting given how people always say how much better qpAdm is to G25. Also, it seems that your choice of right populations can have quite a big impact on your results, which is annoying given that there doesn't seem to be any clear formula on what makes for an optimal reference set.
I'm going to be experimenting with this combination more and see if I can get these standard errors down:
Attachment 144177
About the best I can do with this combination
Attachment 144257
Tried VK579 instead
Attachment 144258
Both were ran with the Gernarchivist references I think Opie linked in an earlier post.
Attachment 144259
Using AndreiDNA's right and left populations, I modeled my Basal Eurasian admixture.
https://www.youtube.com/watch?v=t59yXBo1MoI
Attachment 144721
Attachment 144724
Mbuti is the proxy for Basal Eurasian.
Bad proxy in my opinion.
Target: Israel_Natufian
Distance: 27.4820% / 0.27482024
97.4 Russia_Kostenki14
2.6 Mbuti
Target: Georgia_Kotias.SG
Distance: 28.6263% / 0.28626346
100.0 Russia_Kostenki14
Target: Iran_GanjDareh_N
Distance: 27.1517% / 0.27151689
99.8 Russia_Kostenki14
0.2 Mbuti
Right, it's not African at all. It's his attempt to measure Basal Eurasian that's using Mbuti as a proxy. Using his model with his source populations and reference populations it's speculated that I have 24% basal eurasian admixture. I thought it was interesting. So, I decided to share it.
Anyways back to the more typical modeling. Using Xaviers references a few posts ago I modeled myself with 2 Iron age sources, Norway IA and Czechia IA Hallstatt.
Attachment 144728
Target: Gannicus_MergedFile_officialDavidski_scaled
Distance: 0.0326% / 0.03258002
66.6 Czech_IA_Hallstatt
33.4 Norway_IA.SG
Attachment 144729
Target: Gannicus_MergedFile_officialDavidski_scaled
Distance: 0.0326% / 0.03258002
66.6 Czech_IA_Hallstatt
33.4 Norway_IA.SG
Tried it with Austria IA La Tene with different references this time.
Attachment 144730
Attachment 144731
Attachment 144732
Attachment 144733
And this is what it looks like in G25:
Target: Gannicus_MergedFile_officialDavidski_scaled
Distance: 0.0309% / 0.03092630
55.0 Norway_IA.SG
45.0 Austria_IA_LaTene
That's me:
p value: 0.0954|Feasibility: TRUE
Greece_Peloponnese_N.AG_I5427.AG 56.5 +/- 9.25%
Iran_GanjDareh_N.AG_I1954.AG 22.96 +/- 4.60 %
Russia_Samara_HG.AG_I0124.AG 8.43 +/- 4.67 %
Russia_Ekven_OldBeringSea.AG_I7333.AG 2.48 +/- 2.35%
Jordan_PPNC.AG_I1699.AG 9.62 +/- 8.62%
Austria_IA_LaTene.AG + Denmark_IA.SG
Attachment 144743
Attachment 144744
Attachment 144745
Attachment 144746
slightly different reference set
I haven't managed to obtain a good model for BA and IA so far (standard error is too high).
I have a decent one for medieval though:
p value: 0.7524|Feasibility: TRUE|
Ukraine_Medieval_Rus.SG_VK541.SG 16.56 +/- 7.25%
Turkey_Marmara_Iznik_Basilica_Roman_Byzantine_A.AG_I8366.AG 79.06 +/- 11.67%
Egyptian.HO_Egypt7.HO 4.38 +/- 7.75%
I used your previous two reference lists:
Attachment 144747
Attachment 144748
might want to use ancient egyptians jk2134 and jk2911. Modern Egyptians have more SSA than their ancient ancestors.
Pooling the samples together might help too. Like this:
Attachment 144749
More with England MIA LIA
Attachment 144750
Attachment 144751
Attachment 144752