Principal component analyses (pca)-based findings in population genetic studies are highly biased and must be reevaluated

HIGHLIGHTS

SUMMARY

PCA is commonly reported as yielding a stable differentiation of continental populations (e_g, Africans vs. non-Africans, Europeans vs. Asians, and Asians vs. Native Americans or Oceanians, on the primary P ­ Cs40-43). A previous study that employed even sample-sized color populations alluded that Black is a mixture of all colors (Fig 1B-D). After applying PCA to Indians and the three continental populations to exclude "outliers" that supposedly had more African or Asian ancestries than other samples, PCA was applied again in various settings. Such analyses have a thematic intepretation, where the . . .

 



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