Efficient Integrative Multi-SNP Association Analysis via Deterministic Approximation of Posteriors.

ABSTRACT: With the increasing availability of functional genomic data, incorporating genomic annotations into genetic association analysis has become a standard procedure. However, the existing methods often lack rigor and/or computational efficiency and consequently do not maximize the utility of functional annotations. In this paper, we propose a rigorous inference procedure to perform integrative association analysis incorporating genomic annotations for both traditional GWASs and emerging molecular QTL mapping studies. In particular, we propose an algorithm, named deterministic approximation of posteriors (DAP), which enables highly efficient and accurate joint enrichment analysis and identification of multiple causal variants. We use a series of simulation studies to highlight the power and com

SUBMITTER: Wen X 

PROVIDER: S-EPMC4908152 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature