Ancestry differences among sampled individuals from admixed populations can be a confounder in genetic association studies. It is well known that failure to appropriately account for population structure due to ancestry admixture can lead to both spurious association (increased type-I error rates) as well as reduced power (inflated type-II error rates). The heterogeneous genomes of individuals from admixed populations, however, may provide advantages over genetic association analyses in homogenous populations, including the possibility of gene mapping by admixture linkage disequilibrium, i.e., admixture mapping, and improved sequencing of the human genome by considering the inherited variation patterns created by population admixture, as has been recently demonstrated [Genovese et al., 2013].
