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

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http://hdl.handle.net/10138/169275

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Pers , T H , Karjalainen , J M , Chan , Y , Westra , H-J , Wood , A R , Yang , J , Lui , J C , Vedantam , S , Gustafsson , S , Esko , T , Frayling , T , Speliotes , E K , Boehnke , M , Raychaudhuri , S , Fehrmann , R S N , Hirschhorn , J N , Franke , L , Genetic Invest ANthropometric Trai & Kaprio , J 2015 , ' Biological interpretation of genome-wide association studies using predicted gene functions ' , Nature Communications , vol. 6 , 5890 . https://doi.org/10.1038/ncomms6890

Title: Biological interpretation of genome-wide association studies using predicted gene functions
Author: Pers, Tune H.; Karjalainen, Juha M.; Chan, Yingleong; Westra, Harm-Jan; Wood, Andrew R.; Yang, Jian; Lui, Julian C.; Vedantam, Sailaja; Gustafsson, Stefan; Esko, Tonu; Frayling, Tim; Speliotes, Elizabeth K.; Boehnke, Michael; Raychaudhuri, Soumya; Fehrmann, Rudolf S. N.; Hirschhorn, Joel N.; Franke, Lude; Genetic Invest ANthropometric Trai; Kaprio, Jaakko
Contributor: University of Helsinki, Clinicum
Date: 2015-01
Language: eng
Number of pages: 9
Belongs to series: Nature Communications
ISSN: 2041-1723
URI: http://hdl.handle.net/10138/169275
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.
Subject: CANDIDATE GENES
DATA SETS
DISEASE
NETWORK
LOCI
IDENTIFICATION
ARCHITECTURE
INTEGRATION
HEIGHT
COMMON
3142 Public health care science, environmental and occupational health
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