Biological interpretation of genome-wide association studies using predicted gene functions
Publication date
2015
Authors
Pers, Tune H
Karjalainen, Juha M
Chan, Yingleong
Westra, Harm-Jan
Wood, Andrew R
Yang, Jian
Lui, Julian C
Vedantam, Sailaja
Gustafsson, Stefan
Esko, Tonu
Editors
Advisors
Supervisors
Document Type
Article
Metadata
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License
taverne
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.
Keywords
Genome-Wide Association Study, Software, Taverne, Journal Article, Research Support, N.I.H., Extramural, Research Support, N.I.H., Intramural, Research Support, Non-U.S. Gov't
Citation
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, Genetic Investigation of ANthropometric Traits (GIANT) Consortium & van der Laan, SW 2015, 'Biological interpretation of genome-wide association studies using predicted gene functions', Nature Communications [E], vol. 6, 5890. https://doi.org/10.1038/ncomms6890