Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/51478
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dc.contributor.authorNi, Guiyanen
dc.contributor.authorVan Der Werf, Juliusen
dc.contributor.authorZhou, Xuanen
dc.contributor.authorHypponen, Elinaen
dc.contributor.authorWray, Naomi Ren
dc.contributor.authorLee, S Hongen
dc.date.accessioned2022-03-25T03:38:04Z-
dc.date.available2022-03-25T03:38:04Z-
dc.date.issued2019-
dc.identifier.citationNature Communications, 10(1), p. 1-15en
dc.identifier.issn2041-1723en
dc.identifier.urihttps://hdl.handle.net/1959.11/51478-
dc.description.abstract<p> The genomics era has brought useful tools to dissect the genetic architecture of complex traits. Here we propose a multivariate reaction norm model (MRNM) to tackle genotype-covariate (G-C) correlation and interaction problems. We apply MRNM to the UK Biobank data in analysis of body mass index using smoking quantity as a covariate, finding a highly significant G-C correlation, but only weak evidence for G-C interaction. In contrast, G-C interaction estimates are inflated in existing methods. It is also notable that there is significant heterogeneity in the estimated residual variances (i.e., variances not attributable to factors in the model) across different covariate levels, i.e., residual-covariate (R-C) interaction. We also show that the residual variances estimated by standard additive models can be inflated in the presence of G-C and/or R-C interactions. We conclude that it is essential to correctly account for both interaction and correlation in complex trait analyses. </p>en
dc.languageenen
dc.publisherNature Publishing Groupen
dc.relation.ispartofNature Communicationsen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleGenotype-covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm modelen
dc.typeJournal Articleen
dc.identifier.doi10.1038/s41467-019-10128-wen
dc.identifier.pmid31110177en
dcterms.accessRightsUNE Greenen
dc.subject.keywordsScience & Technology - Other Topicsen
dc.subject.keywordsMultidisciplinary Sciencesen
local.contributor.firstnameGuiyanen
local.contributor.firstnameJuliusen
local.contributor.firstnameXuanen
local.contributor.firstnameElinaen
local.contributor.firstnameNaomi Ren
local.contributor.firstnameS Hongen
local.relation.isfundedbyNHMRCen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailgni@une.edu.auen
local.profile.emailjvanderw@une.edu.auen
local.profile.emailslee38@une.edu.auen
local.output.categoryC1en
local.grant.number1080157en
local.grant.number1087889en
local.grant.number1078901en
local.grant.numberDP160102126en
local.grant.numberFT160100229en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.identifier.runningnumber2239en
local.format.startpage1en
local.format.endpage15en
local.identifier.scopusid85066043213en
local.peerreviewedYesen
local.identifier.volume10en
local.identifier.issue1en
local.access.fulltextYesen
local.contributor.lastnameNien
local.contributor.lastnameVan Der Werfen
local.contributor.lastnameZhouen
local.contributor.lastnameHypponenen
local.contributor.lastnameWrayen
local.contributor.lastnameLeeen
dc.identifier.staffune-id:gnien
dc.identifier.staffune-id:jvanderwen
dc.identifier.staffune-id:slee38en
local.profile.orcid0000-0003-2512-1696en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
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local.identifier.unepublicationidune:1959.11/51478en
local.date.onlineversion2019-05-20-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleGenotype-covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm modelen
local.relation.fundingsourcenoteThis research has been conducted using the UK Biobank Resource. UK Biobank Research Ethics Committee (REC) approval number is 11/NW/0382. Our reference number approved by UK Biobank is 14575. The Atherosclerosis Risk in Communities Study is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute contracts (HHSN268201100005C, HHSN268201100006C, HHSN268201100007C, HHSN268201100008C, HHSN268201100009C, HHSN268201100010C, HHSN268201100011C, and HHSN268201100012C). We thank the staff and participants of the ARIC study for their important contributions. Funding for GENEVA was provided by National Human Genome Research Institute grant U01HG004402 (E. Boerwinkle).en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.relation.grantdescriptionNHMRC/1080157en
local.relation.grantdescriptionNHMRC/1087889en
local.relation.grantdescriptionNHMRC/1078901en
local.relation.grantdescriptionARC/DP160102126en
local.relation.grantdescriptionARC/FT160100229en
local.search.authorNi, Guiyanen
local.search.authorVan Der Werf, Juliusen
local.search.authorZhou, Xuanen
local.search.authorHypponen, Elinaen
local.search.authorWray, Naomi Ren
local.search.authorLee, S Hongen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/4cd31515-ff7f-44aa-ba94-585cf52c85f1en
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000468275100004en
local.year.available2019-
local.year.published2019-
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/4cd31515-ff7f-44aa-ba94-585cf52c85f1en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/4cd31515-ff7f-44aa-ba94-585cf52c85f1en
local.subject.for2020310207 Statistical and quantitative geneticsen
local.subject.seo2020200104 Prevention of human diseases and conditionsen
local.profile.affiliationtypeUnknownen
local.profile.affiliationtypeUnknownen
local.profile.affiliationtypeUnknownen
local.profile.affiliationtypeUnknownen
local.profile.affiliationtypeUnknownen
local.profile.affiliationtypeUnknownen
Appears in Collections:Journal Article
School of Environmental and Rural Science
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