TY - JOUR T1 - Efficient Integrative Multi-SNP QTL Mapping using Deterministic Approximation of Posteriors JF - bioRxiv DO - 10.1101/026450 SP - 026450 AU - Xiaoquan Wen AU - Yeji Lee Y1 - 2015/01/01 UR - http://biorxiv.org/content/early/2015/09/09/026450.abstract N2 - 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. ER -