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Article: CHIP: Defining a dimension of the vulnerability to attention deficit hyperactivity disorder (ADHD) using sibling and individual data of children in a community-based sample

TitleCHIP: Defining a dimension of the vulnerability to attention deficit hyperactivity disorder (ADHD) using sibling and individual data of children in a community-based sample
Authors
Issue Date2003
PublisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0148-7299:1/
Citation
American Journal Of Medical Genetics - Neuropsychiatric Genetics, 2003, v. 119 B n. 1, p. 86-97 How to Cite?
AbstractWe are taking a quantitative trait approach to the molecular genetic study of attention deficit hyperactivity disorder (ADHD) using a truncated case-control association design. An epidemiological sample of children aged 5 to 15 years was evaluated for symptoms of ADHD using a parent rating scale. Individuals scoring high or low on this scale were selected for further investigation with additional questionnaires and DNA analysis. Data in studies like this are typically complicated. In the study reported on here, individuals have from 1 to 4 questionnaires completed on them and the sample is composed of a mixture of singletons and siblings. In this paper, we describe how we used a genetic hierarchical model to fit our data, together with a twin dataset, in order to estimate genetic factor loadings. Correlation matrices were estimated for our data using a maximum likelihood approach to account for missing data. We describe how we used these results to create a composite score, the heritability of which was estimated to be acceptably high using the twin dataset. This score measures a quantitative dimension onto which molecular genetic data will be mapped. ′ 2003 Wiley-Liss, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/175892
ISSN
2015 Impact Factor: 3.391
2015 SCImago Journal Rankings: 1.771
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorCurran, Sen_US
dc.contributor.authorRijsdijk, Fen_US
dc.contributor.authorMartin, Nen_US
dc.contributor.authorMarusic, Ken_US
dc.contributor.authorAsherson, Pen_US
dc.contributor.authorTaylor, Een_US
dc.contributor.authorSham, Pen_US
dc.date.accessioned2012-11-26T09:02:13Z-
dc.date.available2012-11-26T09:02:13Z-
dc.date.issued2003en_US
dc.identifier.citationAmerican Journal Of Medical Genetics - Neuropsychiatric Genetics, 2003, v. 119 B n. 1, p. 86-97en_US
dc.identifier.issn1552-4841en_US
dc.identifier.urihttp://hdl.handle.net/10722/175892-
dc.description.abstractWe are taking a quantitative trait approach to the molecular genetic study of attention deficit hyperactivity disorder (ADHD) using a truncated case-control association design. An epidemiological sample of children aged 5 to 15 years was evaluated for symptoms of ADHD using a parent rating scale. Individuals scoring high or low on this scale were selected for further investigation with additional questionnaires and DNA analysis. Data in studies like this are typically complicated. In the study reported on here, individuals have from 1 to 4 questionnaires completed on them and the sample is composed of a mixture of singletons and siblings. In this paper, we describe how we used a genetic hierarchical model to fit our data, together with a twin dataset, in order to estimate genetic factor loadings. Correlation matrices were estimated for our data using a maximum likelihood approach to account for missing data. We describe how we used these results to create a composite score, the heritability of which was estimated to be acceptably high using the twin dataset. This score measures a quantitative dimension onto which molecular genetic data will be mapped. ′ 2003 Wiley-Liss, Inc.en_US
dc.languageengen_US
dc.publisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0148-7299:1/en_US
dc.relation.ispartofAmerican Journal of Medical Genetics - Neuropsychiatric Geneticsen_US
dc.subject.meshAdolescenten_US
dc.subject.meshAttention Deficit Disorder With Hyperactivity - Epidemiology - Geneticsen_US
dc.subject.meshCase-Control Studiesen_US
dc.subject.meshChilden_US
dc.subject.meshChild, Preschoolen_US
dc.subject.meshDisease Susceptibilityen_US
dc.subject.meshFemaleen_US
dc.subject.meshHumansen_US
dc.subject.meshMaleen_US
dc.subject.meshModels, Geneticen_US
dc.subject.meshQuestionnairesen_US
dc.subject.meshResidence Characteristicsen_US
dc.subject.meshSeverity Of Illness Indexen_US
dc.subject.meshSiblingsen_US
dc.subject.meshStatistics As Topicen_US
dc.subject.meshTwinsen_US
dc.titleCHIP: Defining a dimension of the vulnerability to attention deficit hyperactivity disorder (ADHD) using sibling and individual data of children in a community-based sampleen_US
dc.typeArticleen_US
dc.identifier.emailSham, P: pcsham@hku.hken_US
dc.identifier.authoritySham, P=rp00459en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1002/ajmg.b.20002-
dc.identifier.pmid12707944-
dc.identifier.scopuseid_2-s2.0-0041819558en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0041819558&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume119 Ben_US
dc.identifier.issue1en_US
dc.identifier.spage86en_US
dc.identifier.epage97en_US
dc.identifier.isiWOS:000182548100017-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridCurran, S=7103220956en_US
dc.identifier.scopusauthoridRijsdijk, F=6701830835en_US
dc.identifier.scopusauthoridMartin, N=7401809898en_US
dc.identifier.scopusauthoridMarusic, K=6505500293en_US
dc.identifier.scopusauthoridAsherson, P=35402700900en_US
dc.identifier.scopusauthoridTaylor, E=7403206584en_US
dc.identifier.scopusauthoridSham, P=34573429300en_US

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