PuSH - Publication Server of Helmholtz Zentrum München

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)
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.
Altmetric
Additional Metrics?
[➜Log in]
Edit extra informations Login
Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
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
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology II (EPI2)
Institute of Genetic Epidemiology (IGE)