MASTOR: mixed-model association mapping of quantitative traits in samples with related individuals.

ABSTRACT: Genetic association studies often sample individuals with known familial relationships in addition to unrelated individuals, and it is common for some individuals to have missing data (phenotypes, genotypes, or covariates). When some individuals in a sample are related, power can be gained by incorporating all individuals in the analysis, including individuals with partially missing data, while properly accounting for the dependence among them. We propose MASTOR, a mixed-model, retrospective score test for genetic association with a quantitative trait. MASTOR achieves high power in samples that contain related individuals by making full use of the relationship information to incorporate partially missing data in the analysis while correcting for dependence. Individuals with available pheno

SUBMITTER: Jakobsdottir J 

PROVIDER: S-EPMC3644644 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature