A1 Refereed original research article in a scientific journal
Biological interpretation of genome-wide association studies using predicted gene functions
Authors: Pers TH, Karjalainen JM, Chan Y, Westra HJ, Wood AR, Yang J, Lui JC, Vedantam S, Gustafsson S, Esko T, Frayling T, Speliotes EK, Boehnke M, Raychaudhuri S, Fehrmann RS, Hirschhorn JN, Franke L.; Genetic Investigation of ANthropometric Traits (GIANT) Consortium
Publication year: 2015
Journal: Nature Communications
Article number: 5890
Volume: 6
Number of pages: 9
ISSN: 2041-1723
DOI: https://doi.org/10.1038/ncomms6890
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.
