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


Autoria(s): 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.; Genetic Investigation of ANthropometric Traits (GIANT) Consortium; Boehnke M.; Boehnke M.; Raychaudhuri S.; Fehrmann R.S.; Hirschhorn J.N.; Franke L.
Data(s)

2015

Resumo

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.

Identificador

http://serval.unil.ch/?id=serval:BIB_52D64BA5B1E4

isbn:2041-1723 (Electronic)

pmid:25597830

doi:10.1038/ncomms6890

isiid:000348741300001

http://my.unil.ch/serval/document/BIB_52D64BA5B1E4.pdf

http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_52D64BA5B1E46

Idioma(s)

en

Direitos

info:eu-repo/semantics/openAccess

Fonte

Nature Communications, vol. 6, pp. 5890

Palavras-Chave #Genome-Wide Association Study/methods; Software
Tipo

info:eu-repo/semantics/article

article