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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.* ; GIANT Consortium (Albrecht, E. ; Gieger, C. ; Grallert, H. ; Heid, I.M. ; Illig, T. ; Müller-Nurasyid, M. ; Peters, A. ; Thorand, B. ; Wichmann, H.-E.) ; Boehnke, M.* ; Raychaudhuri, S.* ; Fehrmann, R.S.N.* ; Hirschhorn, J.N.* ; Franke, L.*

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

Nat. Commun. 6:5890 (2015)
Publ. Version/Full Text DOI PMC
Open Access Gold
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.
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Publication type Article: Journal article
Document type Scientific Article
Language english
Publication Year 2015
HGF-reported in Year 2015
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Journal Nature Communications
Quellenangaben Volume: 6, Issue: , Pages: , Article Number: 5890 Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology (EPI)
Institute of Genetic Epidemiology (IGE)
POF-Topic(s) 30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Research field(s) Genetics and Epidemiology
PSP Element(s) G-504091-002
G-504091-004
G-504100-001
G-504000-007
PubMed ID 25597830
DOI 10.1038/ncomms6890
Erfassungsdatum 2015-03-27
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