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

Author(s): Pers TH,  Karjalainen JM,  Chan Y,  Westra HJ,  Wood AR,  Yang J,  Lui JC,  Vedantam S,  Gustafsson S,  Esko T,  Frayling T,  Speliotes EK,  Genetic Investigation of ANthropometric Traits (GIANT) Consortium,  Boehnke M,  Raychaudhuri S,  Fehrmann RS,  Hirschhorn JN,  Franke L

Journal: Nat Commun

Date: 2015 Jan 19

Major Program(s) or Research Group(s): PLCO

PubMed ID: 25597830

PMC ID: PMC4420238

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.