Robust estimation of local genetic ancestry in admixed populations using a nonparametric Bayesian approach.

ABSTRACT: We present a new haplotype-based approach for inferring local genetic ancestry of individuals in an admixed population. Most existing approaches for local ancestry estimation ignore the latent genetic relatedness between ancestral populations and treat them as independent. In this article, we exploit such information by building an inheritance model that describes both the ancestral populations and the admixed population jointly in a unified framework. Based on an assumption that the common hypothetical founder haplotypes give rise to both the ancestral and the admixed population haplotypes, we employ an infinite hidden Markov model to characterize each ancestral population and further extend it to generate the admixed population. Through an effective utilization of the population structur

SUBMITTER: Sohn KA 

PROVIDER: S-EPMC3416008 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature