RT Journal Article
SR Electronic
T1 Efficient Integrative Multi-SNP QTL Mapping using Deterministic Approximation of Posteriors
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 026450
DO 10.1101/026450
A1 Xiaoquan Wen
A1 Yeji Lee
YR 2015
UL http://biorxiv.org/content/early/2015/09/09/026450.abstract
AB 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.