Increased power of mixed models facilitates association mapping of 10 loci for metabolic traits in an isolated population.

ABSTRACT: The potential benefits of using population isolates in genetic mapping, such as reduced genetic, phenotypic and environmental heterogeneity, are offset by the challenges posed by the large amounts of direct and cryptic relatedness in these populations confounding basic assumptions of independence. We have evaluated four representative specialized methods for association testing in the presence of relatedness; (i) within-family (ii) within- and between-family and (iii) mixed-models methods, using simulated traits for 2906 subjects with known genome-wide genotype data from an extremely isolated population, the Island of Kosrae, Federated States of Micronesia. We report that mixed models optimally extract association information from such samples, demonstrating 88% power to rank the true vari

SUBMITTER: Kenny EE 

PROVIDER: S-EPMC3024042 | biostudies-literature | 2011 Feb

REPOSITORIES: biostudies-literature