Biological interpretation of genome-wide association studies using predicted gene functions.
Data(s) |
2015
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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 |