Genome-wide association studies (GWAS) are an important tool for disease mapping but are under-explored for populations of individuals with mixed genetic ancestries (admixed). This work provides guidance on method selection and shows that differences in allele frequency and/or causal effects by ancestries impact statistical power for GWAS in admixed populations.

Published at AJHG 

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