A Bayesian approach to genetic association studies with family-based designs.

ABSTRACT: For genome-wide association studies with family-based designs, we propose a Bayesian approach. We show that standard transmission disequilibrium test and family-based association test statistics can naturally be implemented in a Bayesian framework, allowing flexible specification of the likelihood and prior odds. We construct a Bayes factor conditional on the offspring phenotype and parental genotype data and then use the data we conditioned on to inform the prior odds for each marker. In the construction of the prior odds, the evidence for association for each single marker is obtained at the population-level by estimating its genetic effect size by fitting the conditional mean model. Since such genetic effect size estimates are statistically independent of the effect size estimation with

SUBMITTER: Naylor MG 

PROVIDER: S-EPMC3349938 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature