Biological interpretation of genome-wide association studies using predicted gene functions
Nature Communications2015Vol. 6(1), pp. 5890–5890
Citations Over TimeTop 1% of 2015 papers
Tune H. Pers, Juha Karjalainen, Yingleong Chan, Harm-Jan Westra, Andrew R. Wood, Jian Yang, Julian C. Lui, Sailaja Vedantam, Stefan Gustafsson, Tōnu Esko, Timothy M. Frayling, Elizabeth K. Speliotes, Michael Boehnke, Soumya Raychaudhuri, Rudolf S.N. Fehrmann, Joel N. Hirschhorn, Lude Franke
Abstract
The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes.
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