New PCA's
A new PCA
analysis including only Europeans. The
first plot including dimensions 1 and 2 shows for Finns East European and
Scandinavian affinities, more precisely for the Eastern Finns the East European affinity
closer eastern Vologda samples and the Western Finns match closer western
Vologda samples and Belarussians.
Scandinavian affinity on second dimension looks quite constant for all
Finns. This result could mean that the
common affinity between Finns and Scandinavians is older than the present genetic
shape of these populations (Finns and Scandinavians) and the difference in the East
European affinity among Finns idicates also different origins for Eastern and
Western Finns in Eastern Europe. This explanation is supported also by the
position of Scandinavian and some CEU samples who seem to diverge from Central
Europeans toward Finns (dimension 2). The second plot, showing dimensions 1 and 3, confirms the East European affinity of Finns. Scandinavians keep their position near
Central Europeans.
Full size image available here
Full size image available here
Retesting Finestructure
I have a
new interesting experiment with Finestructure.
I played with it a couple years ago testing it several days and found
some problems. It seemed to exaggerate young
and small isolated populations by increasing their similarities with other
populations in straight relation to the shared haplotypes within the isolation. This effect is a bit difficult to describe exactly
by words although testing revealed it certainly. After seeing this problem I
decided to give up with Finestructure.
Maybe the problem was partially in Chromopainter and it’s data
selections. Now, in my new experiment I
used IBS data as an input to the Finestructure.
The authors of Finestructure claim that IBS data is much worse than the
data generated by Chromopainter. My
results show that IBS data gives fair good results, better than in my previous
tests with Chromopainter data which was pretty much distorted by the problem I
described above. Pretty much testing
ought to be done before this can be proved stone cold, and even then many
readers will not believe me now, so just now it is enough for me to know this. I think that the effect is basically the same I have
seen so many times in population genetic tests; many analyses “infer” that most homogeneous
populations, owning highest shared genome similarity, are root populations. This means that those analyses often select
typical genetic features from most homogeneous subpopulations. But this is a big mistake; in many cases the
most homogeneous subpopulation is younger than the root population, the one
they once diverged from. In other words: the portrait doesn’t come better by
increasing contrast, because we likely will lose nuances and sometimes also profile resembles the neighbor.
So I spent
a little time more with testing and I think that I found a way to avoid the
false gene pumping between populations described above. Definitely, this test done with IBS-data
looks very clean. Some problems can be
seen in sorting out Mediterranean populations, but in Northern and Eastern
Europe the grouping result is amazing. The Finns cluster with Northern Russians,
which is of course right and follows the known history. Northwest Russia was the homeland for
many Finnic speaking groups before the russification took place. Tree model can’t figure simultaneously the
Finns belonging also to the Fennoscandinavian group.
The graphic shows also affinities between individuals.
The graphic shows also affinities between individuals.
Full size image available here