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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.
- Source :
-
American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics [Am J Med Genet B Neuropsychiatr Genet] 2003 May 15; Vol. 119B (1), pp. 86-97. - Publication Year :
- 2003
-
Abstract
- We 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.<br /> (Copyright 2003 Wiley-Liss, Inc.)
- Subjects :
- Adolescent
Case-Control Studies
Child
Child, Preschool
Disease Susceptibility
Female
Humans
Male
Residence Characteristics
Severity of Illness Index
Siblings
Statistics as Topic
Surveys and Questionnaires
Twins
Attention Deficit Disorder with Hyperactivity epidemiology
Attention Deficit Disorder with Hyperactivity genetics
Models, Genetic
Subjects
Details
- Language :
- English
- ISSN :
- 1552-4841
- Volume :
- 119B
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics
- Publication Type :
- Academic Journal
- Accession number :
- 12707944
- Full Text :
- https://doi.org/10.1002/ajmg.b.20002