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Nature Research, Nature Communications, 1(6), 2015

DOI: 10.1038/ncomms6890

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Biological interpretation of genome-wide association studies using predicted gene functions

Journal article published in 2015 by Tune H. Pers, Pers Th, Harm-Jan Westra, Andrew R. Wood, Jian Yang ORCID, Genetic Invest ANthropometric Trai, Sailaja Vedantam, Elizabeth K. Speliotes, Soumya Raychaudhuri, Fehrmann Rs, Juha M. Karjalainen, Karjalainen Jm, Yingleong Chan, Westra Hj, Wood Ar and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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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.