You probably have read my previous post regarding European genetic structures composed by Admixture and Eurasian data. My aim was to make an admixture analysis free of recent genetic drift. It gave following admixtures for Southwestern Finns (Finnish, k=10)
- Saami 14%
- Baltic 49%
- Germanic 35%
The post is here.
Now I have tested same admixtures using Iron Age samples and qpAdm. QpAdm allocates admixtures for given populations, in these tests admixture populations were Baltic Iron Age, Scanian Iron Age and Levaluhta Iron Age. Levaluhta consists of five Iron Age remains found from Finnish Bothnia, Ostrobothnia. The id of the Scanian IA sample is RISE174 and the Baltic IA sample is DA171. Although my results are unambiguous, there are some uncertainty regarding the software and given references, and being the first exploring something like this I am curious to see results of professional geneticists. I simply can't understand why this matter wouldn't interest also researchers. All samples I use here are publicly available.
Southwest Finns:
chisq tail prob
1.112 0.992818
Levaluhta 0.115
Scania_IA 0.437
Baltic_IA 0.448
Vepsa:
chisq tail prob
1.555 0.980354
Levaluhta 0.202
FIN_Southwest 0.614
Baltic_IA 0.184
Nganasan -0.000
and another result of Vepsa
chisq tail prob
2.734 0.908488
Levaluhta 0.000
FIN_Southwest 0.764
Baltic_IA 0.164
Nganasan 0.072
The match is much worse when using present-day Baltic, Germanic and Saami counterparts.
Southwest Finns:
chisq tail prob
9.270 0.233881
Saami 0.156
Latvian 0.297
Swedish 0.548
Outgroups and coverages were
Kostenki14 813405
MA1 625746
WHG 703903
Iron_Gates_HG 884901
EHG 983976
CHG 889688
Ganj_Dareh_N 794892
West_Siberia_N 670626
Anatolia_Neolithic 889986
LBK_EN 880957
Typical SNP coverage of target groups
Vepsa1M 971774
Levaluhta 377788
FIN-Southwest 1102712
Baltic_IA 97311
Scania_IA 373352
Nganasan1M 971774
I have lost some SNP's due to allele mismatches or multiallelic
conversion errors in Plink, but the coverage is still reasonable. Some
ancient samples need to be reconverted.
edit 11.12.2018 16:30
Adding Russians from Pinega makes a perfect match for Vepsas. Not a big surprise.
chisq tail prob
0.825 0.991377
FIN-Southwest 0.672
RusPinega 0.130
Baltic_IA 0.093
Levaluhta 0.105
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