An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data

We present an approach for genome-wide association analysis with improved power on the Wellcome Trust data consisting of seven common phenotypes and shared controls. We achieved improved power by expanding the control set to include other disease cohorts, multiple races, and closely related individu...

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Main Authors:	Lippert, Christoph, Listgarten, Jennifer, Davidson, Robert I., Baxter, Scott, Poong, Hoifung, Kadie, Carl M., Heckerman, David
Format:	Online
Language:	English
Published:	Nature Publishing Group 2013
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3551227/

id	pubmed-3551227
recordtype	oai_dc
spelling	pubmed-35512272013-01-23 An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data Lippert, Christoph Listgarten, Jennifer Davidson, Robert I. Baxter, Scott Poong, Hoifung Kadie, Carl M. Heckerman, David Article We present an approach for genome-wide association analysis with improved power on the Wellcome Trust data consisting of seven common phenotypes and shared controls. We achieved improved power by expanding the control set to include other disease cohorts, multiple races, and closely related individuals. Within this setting, we conducted exhaustive univariate and epistatic interaction association analyses. Use of the expanded control set identified more known associations with Crohn's disease and potential new biology, including several plausible epistatic interactions in several diseases. Our work suggests that carefully combining data from large repositories could reveal many new biological insights through increased power. As a community resource, all results have been made available through an interactive web server. Nature Publishing Group 2013-01-22 /pmc/articles/PMC3551227/ /pubmed/23346356 http://dx.doi.org/10.1038/srep01099 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Lippert, Christoph Listgarten, Jennifer Davidson, Robert I. Baxter, Scott Poong, Hoifung Kadie, Carl M. Heckerman, David
spellingShingle	Lippert, Christoph Listgarten, Jennifer Davidson, Robert I. Baxter, Scott Poong, Hoifung Kadie, Carl M. Heckerman, David An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
author_facet	Lippert, Christoph Listgarten, Jennifer Davidson, Robert I. Baxter, Scott Poong, Hoifung Kadie, Carl M. Heckerman, David
author_sort	Lippert, Christoph
title	An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
title_short	An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
title_full	An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
title_fullStr	An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
title_full_unstemmed	An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
title_sort	exhaustive epistatic snp association analysis on expanded wellcome trust data
description	We present an approach for genome-wide association analysis with improved power on the Wellcome Trust data consisting of seven common phenotypes and shared controls. We achieved improved power by expanding the control set to include other disease cohorts, multiple races, and closely related individuals. Within this setting, we conducted exhaustive univariate and epistatic interaction association analyses. Use of the expanded control set identified more known associations with Crohn's disease and potential new biology, including several plausible epistatic interactions in several diseases. Our work suggests that carefully combining data from large repositories could reveal many new biological insights through increased power. As a community resource, all results have been made available through an interactive web server.
publisher	Nature Publishing Group
publishDate	2013
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3551227/
_version_	1611948527105081344

An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data

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