Estimating and adjusting for ancestry admixture in statistical methods for relatedness inference, heritability estimation, and association testing.

ABSTRACT: It is well known that genetic association studies are not robust to population stratification. Two widely used approaches for the detection and correction of population structure are principal component analysis and model-based estimation of ancestry. These methods have been shown to give reliable inference on population structure in unrelated samples. We evaluated these two approaches in Mexican American pedigrees provided by the Genetic Analysis Workshop 18. We also estimated identity-by-descent sharing probabilities and kinship coefficients, with adjustment for ancestry admixture, to confirm documented pedigree relationships as well as to identify cryptic relatedness in the sample. We also estimated the heritability of the first simulated replicate of diastolic blood pressure (DBP). Fin

SUBMITTER: Thornton T 

PROVIDER: S-EPMC4143704 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature