| Literature DB >> 25597830 |
Tune H Pers1, Juha M Karjalainen2, Yingleong Chan3, Harm-Jan Westra4, Andrew R Wood5, Jian Yang6, Julian C Lui7, Sailaja Vedantam1, Stefan Gustafsson8, Tonu Esko9, Tim Frayling5, Elizabeth K Speliotes10, Michael Boehnke11, Soumya Raychaudhuri12, Rudolf S N Fehrmann2, Joel N Hirschhorn3, Lude Franke2.
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.Entities:
Mesh:
Year: 2015 PMID: 25597830 PMCID: PMC4420238 DOI: 10.1038/ncomms6890
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919