A central goal in population genomics is to detect targets of adaptive natural selection. Yet, elucidating the functional consequences of those variants under selection and understanding their role in driving phenotypic diversity remains a significant challenge. We leverage the availability of human population genomics data where, through genome-wide association studies, genetic variants have been associated with numerous disease and non-disease traits. We use this information to uncover selective forces underlying phenotypic evolution. We measure the extent of positive selection on standing genetic variants using principle component analysis to identify those segregating across subpopulations at a rate higher than genetic drift. We find evidence for genetic adaption among human populations at SNPs associated with complex diseases.