Efficient Integrative Multi-SNP QTL Mapping using Deterministic Approximation of Posteriors

نویسندگان

  • Xiaoquan Wen
  • Yeji Lee
چکیده

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.

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تاریخ انتشار 2015