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LASSO model selection with post-processing for a genome-wide association study data set

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dc.contributor.authorMotyer, Allan J.
dc.contributor.authorMcKendry, Chris
dc.contributor.authorGalbraith, Sally
dc.contributor.authorWilson, Susan R.
dc.date.accessioned2016-01-14T00:46:26Z
dc.date.available2016-01-14T00:46:26Z
dc.date.issued2011-11-29
dc.date.updated2016-06-14T09:08:14Z
dc.description.abstractModel selection procedures for simultaneous analysis of all single-nucleotide polymorphisms in genome-wide association studies are most suitable for making full use of the data for a complex disease study. In this paper we consider a penalized regression using the LASSO procedure and show that post-processing of the penalized-regression results with subsequent stepwise selection may lead to improved identification of causal single-nucleotide polymorphisms.
dc.description.sponsorshipWe acknowledge funding of this research through Australian National Health and Medical Research Council grant 525453. We also thank the two anonymous reviewers. The Genetic Analysis Workshop is supported by National Institutes of Health grant R01 GM031575.en_AU
dc.identifier.issn1753-6561en_AU
dc.identifier.urihttp://hdl.handle.net/1885/95379
dc.publisherBioMed Central
dc.relationhttp://purl.org/au-research/grants/nhmrc/525453
dc.rights© Motyer et al; licensee BioMed Central Ltd. 2011 This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.sourceBMC Proceedings
dc.subjectKeywords: conference paper; gene replication; genetic analysis; genetic association; least absolute shrinkage and selection operator method; priority journal; simulation; single nucleotide polymorphism; statistical analysis
dc.titleLASSO model selection with post-processing for a genome-wide association study data set
dc.typeJournal article
local.bibliographicCitation.issueSuppl 9en_AU
local.bibliographicCitation.startpageS24en_AU
local.contributor.affiliationMotyer, Allan J, University of New South Wales, Australiaen_AU
local.contributor.affiliationMcKendry, Chris, University of New South Wales, Australiaen_AU
local.contributor.affiliationGalbraith, Sally, University of New South Wales, Australiaen_AU
local.contributor.affiliationWilson, Susan, College of Physical and Mathematical Sciences, CPMS Mathematical Sciences Institute, Centre for Mathematics and Its Applications, The Australian National Universityen_AU
local.contributor.authoruidu7401449en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor060102en_AU
local.identifier.absseo970101en_AU
local.identifier.ariespublicationu4743872xPUB98en_AU
local.identifier.citationvolume5en_AU
local.identifier.doi10.1186/1753-6561-5-S9-S24en_AU
local.identifier.essn1753-6561en_AU
local.identifier.scopusID2-s2.0-82455211260
local.publisher.urlhttp://www.biomedcentral.com/en_AU
local.type.statusPublished Versionen_AU

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