[0] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3806353/
No idea where the other guy got their %age numbers from, unless you only count specific parts of the family tree.
As far as genetics go, it's worth pointing out that there's a bit of question begging involved in identifying specific genetics with regional cultural groups in the first place.
I imagine they do some sort of cluster analysis to find correlation along with self-identification. If so, then this is undeniably junk science based on junk-in junk-out statistical models (which is often the case with cluster-analysis).
I’m simply curious here, cluster analysis is the only method I can think of (other than guessing/categorizing arbitrarily).
So when our thread’s ancestor (pun unfortunate) says “45% Levantine” they mean they 45% of people alive today that are from that region (which includes many European immigrants). I bet this gets very messy given immigration patterns. Like which immigrants count as ancestry sample, and which don’t? For this problem I would personally use cluster analyses, however I would probably simply give up, knowing that cluster analysis would give me junk (and ultimately arbitrary) results with such noisy (and potentially skewed) data.
EDIT: The answer was right there next to this quote, in one of the aside picture for the same article[1]. They use Principal Component Analysis. Which IMO is even more fraught than cluster analysis, as you have even more control over what you want to get out of the model. If I remember correctly PCA—along with factor analyses—is used heavily in personality psychology and intelligence testing, the latter of which is very famous for radicalized pseudo science.
1: https://en.wikipedia.org/wiki/Genealogical_DNA_test#/media/F...
I don't think it's "some" -- I think that's 100% of it.