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A Unified Unsupervised Framework for Genome-Wide Association Studies in Heterogeneous Populations
Genome-wide association studies (GWAS) have greatly advanced the discovery of genetic variants underlying complex traits and diseases. Yet in heterogeneous populations, existing GWAS strategies typically either pool all individuals under an assumption of population homogeneity or perform meta-analys
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