PT  - JOURNAL ARTICLE
AU  - Xiaoquan Wen
AU  - Yeji Lee
TI  - Efficient Integrative Multi-SNP QTL Mapping using Deterministic Approximation of Posteriors
AID  - 10.1101/026450
DP  - 2015 Jan 01
TA  - bioRxiv
PG  - 026450
4099  - http://biorxiv.org/content/early/2015/09/09/026450.short
4100  - http://biorxiv.org/content/early/2015/09/09/026450.full
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.