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.

Pers, T., Karjalainen, J., Chan, Y., Westra, H., Wood, A., Yang, J., et al. (2015). Biological interpretation of genome-wide association studies using predicted gene functions. NATURE COMMUNICATIONS, 6 [10.1038/ncomms6890].

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

BRAMBILLA, PAOLO
Membro del Collaboration Group
;
2015

Abstract

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.
Articolo in rivista - Articolo scientifico
Biochemistry, Genetics and Molecular Biology (all);
English
2015
6
5890
open
Pers, T., Karjalainen, J., Chan, Y., Westra, H., Wood, A., Yang, J., et al. (2015). Biological interpretation of genome-wide association studies using predicted gene functions. NATURE COMMUNICATIONS, 6 [10.1038/ncomms6890].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/79443
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