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

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. and Franke, Lude (2015) Biological interpretation of genome-wide association studies using predicted gene functions. Nature Communications, 6 Art No.: 5890: . doi:10.1038/ncomms6890

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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
Title Biological interpretation of genome-wide association studies using predicted gene functions
Journal name Nature Communications   Check publisher's open access policy
ISSN 2041-1723
Publication date 2015
Year available 2015
Sub-type Article (original research)
DOI 10.1038/ncomms6890
Open Access Status File (Publisher version)
Volume 6
Issue Art No.: 5890
Total pages 9
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Collection year 2016
Language eng
Formatted 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.
Keyword Biological sciences
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2016 Collection
UQ Diamantina Institute Publications
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Citation counts: TR Web of Science Citation Count  Cited 46 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 49 times in Scopus Article | Citations
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