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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.

Original publication

DOI

10.1038/ncomms6890

Type

Journal article

Journal

Nature communications

Publication Date

19/01/2015

Volume

6

Addresses

1] Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA [2] Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 2142, USA.

Keywords

Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Software, Genome-Wide Association Study