Peterski
05-11-2020, 05:00 AM
This is what I have obtained when checking how my own regional French averages cluster:
Important Note:
In Provence, some samples (especially around Nice) are very close to North Italy, but more samples are closer to Iberia/Baleares.
This is why I painted Provence with mixed Orange-Blue instead of mixed Yellow-Blue, but the latter choice would be quite OK too.
https://i.imgur.com/mPqHURk.png
^^^ Attached image with a fragment of my clustering exercise, all of these regional averages group together with each other:
A clearly identifiable "Central French" cluster emerges from the analysis. It includes all highlighted regions which group together:
https://i.imgur.com/LqOXM2B.png
Poitou-Charentes is mixed for example Vendee Department is clearly Central French but Charente-Maritime is Aquitanian-shifted.
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Overall this looks a bit different than map from "The Genetic History of France" study. I think one mistake they made in that study was that they checked how samples cluster comparing only regional French samples to each other, without adding non-French (Belgian, German, Spanish, Italian etc.) neighbour populations for comparison.
On the other hand, my map posted above is based on clustering of entire Europe.
And in my opinion, for example Ile de France is still closer to Auvergne than the former is to Germany or to Belgium.
This is why I obtained a Central French cluster, all regions of which are closer to each other than to Non-French people.
Obviously, what clusters you will obtain depends also on what populations are used in the comparison. So if you make clustering with only French regional samples (without including Iberians, Germans, Belgians, etc.), clusters will be different than when you use both French and Non-French samples.
When you use just French samples, Ile-de-France might be closer to Hauts-de-France than to Auvergne & Centre. But when you add Germans, Belgians, etc. for comparison - then Hauts-de-France may "jump" to the Belgian cluster, while most samples from Ile-de-France may "jump" to the same cluster as Auvergne & Centre.
Important Note:
In Provence, some samples (especially around Nice) are very close to North Italy, but more samples are closer to Iberia/Baleares.
This is why I painted Provence with mixed Orange-Blue instead of mixed Yellow-Blue, but the latter choice would be quite OK too.
https://i.imgur.com/mPqHURk.png
^^^ Attached image with a fragment of my clustering exercise, all of these regional averages group together with each other:
A clearly identifiable "Central French" cluster emerges from the analysis. It includes all highlighted regions which group together:
https://i.imgur.com/LqOXM2B.png
Poitou-Charentes is mixed for example Vendee Department is clearly Central French but Charente-Maritime is Aquitanian-shifted.
=====
Overall this looks a bit different than map from "The Genetic History of France" study. I think one mistake they made in that study was that they checked how samples cluster comparing only regional French samples to each other, without adding non-French (Belgian, German, Spanish, Italian etc.) neighbour populations for comparison.
On the other hand, my map posted above is based on clustering of entire Europe.
And in my opinion, for example Ile de France is still closer to Auvergne than the former is to Germany or to Belgium.
This is why I obtained a Central French cluster, all regions of which are closer to each other than to Non-French people.
Obviously, what clusters you will obtain depends also on what populations are used in the comparison. So if you make clustering with only French regional samples (without including Iberians, Germans, Belgians, etc.), clusters will be different than when you use both French and Non-French samples.
When you use just French samples, Ile-de-France might be closer to Hauts-de-France than to Auvergne & Centre. But when you add Germans, Belgians, etc. for comparison - then Hauts-de-France may "jump" to the Belgian cluster, while most samples from Ile-de-France may "jump" to the same cluster as Auvergne & Centre.