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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.* ; 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)
DOI PMC
Open Access Gold as soon as Publ. Version/Full Text is submitted to ZB.
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 0
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 Pancreatic Islet Research (IPI)
PubMed ID 25597830
DOI 10.1038/ncomms6890
Erfassungsdatum 2015-03-10
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