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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)
DOI PMC
Open Access Gold möglich sobald Verlagsversion bei der ZB eingereicht worden ist.
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Zeitschrift Nature Communications
Quellenangaben Band: 6, Heft: , Seiten: , Artikelnummer: 5890 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology II (EPI2)
Institute of Genetic Epidemiology (IGE)