Journal Article

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

By Tune H. Pers, Juha M. Karjalainen, Yingleong Chan, Harm-Jan Westra, Andrew R. Wood, Jian Yang, Julian C. Lui, Sailaja Vedantam, Stefan Gustafsson, Tonu Esko, Tim Frayling, Elizabeth K. Speliotes, Michael Boehnke, Soumya Raychaudhuri, Rudolf S. N. Fehrmann, Joel N. Hirschhorn and Lude Franke

Publication details

Publication date
Published in
Nature Communications
Volume
6: 5890
Publisher
Nature Publishing Group
DOI
http://dx.doi.org/10.1038/ncomms6890
ISSN
20411723

Summary

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.

Notes

Not held in Hilary Doughty Research Library - bibliographic reference only

Topics