Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/14498
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dc.contributor.authorEbejer, Janeen
dc.contributor.authorDuffy, David Len
dc.contributor.authorVan Der Werf, Julius Hen
dc.contributor.authorWright, Margaret Jen
dc.contributor.authorMontgomery, Grant Wen
dc.contributor.authorGillespie, Nathan Aen
dc.contributor.authorHickie, Ian Ben
dc.contributor.authorMartin, Nicholasen
dc.contributor.authorMedland, Sarahen
dc.date.accessioned2014-04-02T13:10:00Z-
dc.date.issued2013-
dc.identifier.citationTwin Research and Human Genetics, 16(2), p. 560-574en
dc.identifier.issn1839-2628en
dc.identifier.issn1832-4274en
dc.identifier.urihttps://hdl.handle.net/1959.11/14498-
dc.description.abstractGenome-wide association studies (GWAS) of attention-deficit/hyperactivity disorder (ADHD) offer the benefit of a hypothesis-free approach to measuring the quantitative effect of genetic variants on affection status. Generally the findings of GWAS relying on ADHD status have been non-significant, but the one study using quantitative measures of symptoms found SLC9A9 and SLC6A1 were associated with inattention and hyperactivity-impulsivity. Accordingly, we performed a GWAS using quantitative measures of each ADHD subtype measured with the Strengths and Weaknesses of ADHD and Normal Behaviour (SWAN) scale in two community-based samples. This scale captures the full range of attention and kinetic behavior; from high levels of attention and appropriate activity to the inattention and hyperactivity-impulsivity associated with ADHD within two community-based samples. Our discovery sample comprised 1,851 participants (mean age = 22.8 years [4.8]; 50.6% female), while our replication sample comprised 155 participants (mean age = 26.3 years [3.1]; 68.4% females). Age, sex, age × sex, and age² were included as covariates and the results from each sample were combined using meta-analysis, then analyzed with a gene-based test to estimate the combined effect of markers within genes. We compare our results with markers that have previously been found to have a strong association with ADHD symptoms. Neither the GWAS nor subsequent meta-analyses yielded genome-wide significant results; the strongest effect was observed at rs2110267 (4.62 × 10ˉ⁷) for symptoms of hyperactivity-impulsivity. The strongest effect in the gene-based test was for GPR139 on symptoms of inattention (6.40 × 10ˉ⁵). Replication of this study with larger samples will add to our understanding of the genetic etiology of ADHD.en
dc.languageenen
dc.publisherCambridge University Pressen
dc.relation.ispartofTwin Research and Human Geneticsen
dc.titleGenome-Wide Association Study of Inattention and Hyperactivity-Impulsivity Measured as Quantitative Traitsen
dc.typeJournal Articleen
dc.identifier.doi10.1017/thg.2013.12en
dcterms.accessRightsGolden
dc.subject.keywordsQuantitative Genetics (incl Disease and Trait Mapping Genetics)en
local.contributor.firstnameJaneen
local.contributor.firstnameDavid Len
local.contributor.firstnameJulius Hen
local.contributor.firstnameMargaret Jen
local.contributor.firstnameGrant Wen
local.contributor.firstnameNathan Aen
local.contributor.firstnameIan Ben
local.contributor.firstnameNicholasen
local.contributor.firstnameSarahen
local.subject.for2008060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)en
local.subject.seo2008920209 Mental Health Servicesen
local.profile.schoolPsychologyen
local.profile.schoolPsychologyen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolPsychologyen
local.profile.schoolPsychologyen
local.profile.schoolPsychologyen
local.profile.schoolPsychologyen
local.profile.schoolRural Medical Schoolen
local.profile.emailjebejer@une.edu.auen
local.profile.emailjvanderw@une.edu.auen
local.profile.emailnmarti24@une.edu.auen
local.profile.emailsmedland@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20140311-100639en
local.publisher.placeUnited Kingdomen
local.format.startpage560en
local.format.endpage574en
local.identifier.scopusid84875983395en
local.peerreviewedYesen
local.identifier.volume16en
local.identifier.issue2en
local.access.fulltextYesen
local.contributor.lastnameEbejeren
local.contributor.lastnameDuffyen
local.contributor.lastnameVan Der Werfen
local.contributor.lastnameWrighten
local.contributor.lastnameMontgomeryen
local.contributor.lastnameGillespieen
local.contributor.lastnameHickieen
local.contributor.lastnameMartinen
local.contributor.lastnameMedlanden
dc.identifier.staffune-id:jebejeren
dc.identifier.staffune-id:jvanderwen
dc.identifier.staffune-id:nmarti24en
dc.identifier.staffune-id:smedlanden
local.profile.orcid0000-0003-2512-1696en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
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local.identifier.unepublicationidune:14713en
local.identifier.handlehttps://hdl.handle.net/1959.11/14498en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleGenome-Wide Association Study of Inattention and Hyperactivity-Impulsivity Measured as Quantitative Traitsen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorEbejer, Janeen
local.search.authorDuffy, David Len
local.search.authorVan Der Werf, Julius Hen
local.search.authorWright, Margaret Jen
local.search.authorMontgomery, Grant Wen
local.search.authorGillespie, Nathan Aen
local.search.authorHickie, Ian Ben
local.search.authorMartin, Nicholasen
local.search.authorMedland, Sarahen
local.uneassociationUnknownen
local.identifier.wosid000316817500007en
local.year.published2013en
local.subject.for2020310506 Gene mappingen
local.subject.seo2020200305 Mental health servicesen
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