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

Pers, T. H. et al. (2015) Biological interpretation of genome-wide association studies using predicted gene functions. Nature Communications, 6, p. 5890. (doi: 10.1038/ncomms6890) (PMID:25597830) (PMCID:PMC4420238)

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.

• Item Type: Articles
• Additional Information: Ian Ford: GIANT Consortium
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ford, Professor Ian
• Authors: Pers, T. H., Karjalainen, J. M., Chan, Y., Westra, H.-J., Wood, A. R., Yang, J., Lui, J. C., Vedantam, S., Gustafsson, S., Esko, T., Frayling, T., Speliotes, E. K., Boehnke, M., Raychaudhuri, S., Fehrmann, R. S. N., Hirschhorn, J. N., Franke, L., and Ford, I.
• College/School: College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Robertson Centre
• Journal Name: Nature Communications
• Publisher: Nature Publishing Group
• ISSN: 2041-1723
• ISSN (Online): 2041-1723