%0 Journal Article %A Xiaoquan Wen %A Yeji Lee %T Efficient Integrative Multi-SNP QTL Mapping using Deterministic Approximation of Posteriors %D 2015 %R 10.1101/026450 %J bioRxiv %P 026450 %X With the increasing availability of functional genomic data (Consortium et al., 2012, Kundaje et al., 2015, Ardlie et al., 2015), incorporating genomic annotations into QTL mapping has become a standard analytical procedure. However, the existing analysis methods often lack rigor and/or computational efficiency. We present a novel algorithm to perform integrative multi-SNP QTL mapping in a probabilistic hierarchical model framework that enables accurate and efficient joint enrichment analysis and the identification of multiple causal variants. %U https://www.biorxiv.org/content/biorxiv/early/2015/09/09/026450.full.pdf