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

HIGHLIGHTS

• who: Eran Elhaik from the DepartmentLund University have published the article: Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated, in the Journal: Scientific Reports Scientific Reports
• what: The authors show that the appearance of continental populations at the corners of a triangle is an artifact of the sampling scheme since variable sample sizes can easily create alternative results as well as alternative "clines". The authors explore how an admixed group appears in PCA, whether its ancestral groups are identifiable, and how its presence affects the findings . . .
  

   

  

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