Biological interpretation of genome-wide association studies using predicted gene functions
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2015Author(s)
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
Kuusisto, Johanna
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10.1038/ncomms6890Metadata
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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. Kuusisto, Johanna. (2015). Biological interpretation of genome-wide association studies using predicted gene functions. Nature Communications, 6 (5890) , 10.1038/ncomms6890.Rights
© 2015 Macmillan Publishers Limited
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.
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http://dx.doi.org/10.1038/ncomms6890Publisher
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