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

AUTHOR GROUP

doi:https://doi.org/10.1038/ncomms6890

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

AUTHOR GROUP

Research output: Contribution to journal › Article › Academic › peer-review

513 Citations (Scopus)

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

Original language	English
Pages (from-to)	5890
Journal	Nature communications
Volume	6
DOIs	https://doi.org/10.1038/ncomms6890
Publication status	Published - 2015

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https://doi.org/10.1038/ncomms6890

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@article{f18bcb1a7d8d4fd69cd9c6116527e2ac,

title = "Biological interpretation of genome-wide association studies using predicted gene functions",

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",

author = "Pers, {Tune H.} and Karjalainen, {Juha M.} and Yingleong Chan and Harm-Jan Westra and Wood, {Andrew R.} and Jian Yang and Lui, {Julian C.} and Sailaja Vedantam and Stefan Gustafsson and Tonu Esko and Tim Frayling and Speliotes, {Elizabeth K.} and Michael Boehnke and Soumya Raychaudhuri and Fehrmann, {Rudolf S. N.} and Hirschhorn, {Joel N.} and Lude Franke and {AUTHOR GROUP} and Chu, {Audrey Y.} and Karol Estrada and Jian'an Luan and Zolt{\'a}n Kutalik and Najaf Amin and Buchkovich, {Martin L.} and Croteau-Chonka, {Damien C.} and Day, {Felix R.} and Yanan Duan and Tove Fall and Rudolf Fehrmann and Teresa Ferreira and Jackson, {Anne U.} and Juha Karjalainen and Lo, {Ken Sin} and Locke, {Adam E.} and Reedik M{\"a}gi and Evelin Mihailov and Eleonora Porcu and Randall, {Joshua C.} and Andr{\'e} Scherag and Vinkhuyzen, {Anna A. E.} and Winkler, {Thomas W.} and Tsegaselassie Workalemahu and Zhao, {Jing Hua} and Devin Absher and Eva Albrecht and Denise Anderson and Jeffrey Baron and Marian Beekman and {van der Velde}, Nathalie and Hovingh, {G. Kees} and Kastelein, {John J. P.}",

year = "2015",

doi = "https://doi.org/10.1038/ncomms6890",

language = "English",

volume = "6",

pages = "5890",

journal = "Nature communications",

issn = "2041-1723",

publisher = "Nature Publishing Group",

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TY - JOUR

T1 - Biological interpretation of genome-wide association studies using predicted gene functions

AU - Pers, Tune H.

AU - Karjalainen, Juha M.

AU - Chan, Yingleong

AU - Westra, Harm-Jan

AU - Wood, Andrew R.

AU - Yang, Jian

AU - Lui, Julian C.

AU - Vedantam, Sailaja

AU - Gustafsson, Stefan

AU - Esko, Tonu

AU - Frayling, Tim

AU - Speliotes, Elizabeth K.

AU - Boehnke, Michael

AU - Raychaudhuri, Soumya

AU - Fehrmann, Rudolf S. N.

AU - Hirschhorn, Joel N.

AU - Franke, Lude

AU - AUTHOR GROUP

AU - Chu, Audrey Y.

AU - Estrada, Karol

AU - Luan, Jian'an

AU - Kutalik, Zoltán

AU - Amin, Najaf

AU - Buchkovich, Martin L.

AU - Croteau-Chonka, Damien C.

AU - Day, Felix R.

AU - Duan, Yanan

AU - Fall, Tove

AU - Fehrmann, Rudolf

AU - Ferreira, Teresa

AU - Jackson, Anne U.

AU - Karjalainen, Juha

AU - Lo, Ken Sin

AU - Locke, Adam E.

AU - Mägi, Reedik

AU - Mihailov, Evelin

AU - Porcu, Eleonora

AU - Randall, Joshua C.

AU - Scherag, André

AU - Vinkhuyzen, Anna A. E.

AU - Winkler, Thomas W.

AU - Workalemahu, Tsegaselassie

AU - Zhao, Jing Hua

AU - Absher, Devin

AU - Albrecht, Eva

AU - Anderson, Denise

AU - Baron, Jeffrey

AU - Beekman, Marian

AU - van der Velde, Nathalie

AU - Hovingh, G. Kees

AU - Kastelein, John J. P.

PY - 2015

Y1 - 2015

N2 - 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

AB - 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

U2 - https://doi.org/10.1038/ncomms6890

DO - https://doi.org/10.1038/ncomms6890

M3 - Article

C2 - 25597830

SN - 2041-1723

VL - 6

SP - 5890

JO - Nature communications

JF - Nature communications

ER -