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

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, Timothy M.; Speliotes, E. K.; Boehnke, M.; Raychaudhuri, S.; Fehrmann, R. S. N.; Hirschhorn, J. N.; Franke, L.; Hattersley, Andrew T.

URI

http://hdl.handle.net/11287/618116

Author

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, Timothy M.

Speliotes, E. K.

Boehnke, M.

Raychaudhuri, S.

Fehrmann, R. S. N.

Hirschhorn, J. N.

Franke, L.

Hattersley, Andrew T.

Date

2015-01

Journal

Nature communications

Type

Journal Article
Research Support, N.I.H., Extramural
Research Support, N.I.H., Intramural
Research Support, Non-U.S. Gov't

Publisher

Nature

DOI

10.1038/ncomms6890

Rights

Archived with thanks to Nature communications

Metadata

Show full item record

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.

Citation

Biological interpretation of genome-wide association studies using predicted gene functions. 2015, 6:5890 Nat Commun

Publisher URL

http://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25597830/

Note

This article is freely available via Open Access. Click on the 'Additional Link' to access the full-text.