PMID 15950007
| Main Page | Search | Input | View Record | Links | FAQ |
|---|
- Title
Statistical approaches to complex phenotypes: evaluating neuropsychological endophenotypes for attention-deficit/hyperactivity disorder.
- Authors
Waldman ID
- Year
2005
- Abstract
There is renewed interest among psychiatric geneticists in endophenotypes, constructs posited to be more directly and strongly influenced by candidate genes than manifest disorders. Researchers have proposed various criteria for the selection of endophenotypes useful in finding genes that underlie psychiatric disorders. These criteria include the endophenotype's psychometric properties, its relationship to the disorder in the population and within families, its expression in probands' unaffected relatives, its heritability and common genetic influences with the disorder, its association with candidate genes that underlie the disorder, and its mediation and moderation of association between the candidate gene and the disorder. In this article, analytic methods for evaluating the validity and utility of putative endophenotypes consistent with these proposed criteria are reviewed. The use of such analyses is illustrated with data on childhood attention-deficit/hyperactivity disorder and time to complete Trails A and B from both a candidate gene study of clinically referred children and a study of non-referred twins. It is demonstrated that both putative endophenotypes show association with the dopamine D4 receptor gene and meet most (but not all) of the criteria proposed for their validity and utility.
- Keywords
Adolescent, Attention Deficit Disorder with Hyperactivity, Child, Cognition Disorders, Family Health, Female, Gene Frequency, Genetic Predisposition to Disease, Humans, Male, Models, Statistical, Neuropsychological Tests, Phenotype, Psychiatric Status Rating Scales, Psychometrics, Reaction Time, Twin Studies
- Reference
- Input Author
- Notes
- Closely related pages (vote or nominate related pages)
- Links out:
- Google 15950007
- Wikipedia 15950007
- PubBrain
- PMID 15950007
- -coming soon...ucla cognitive atlas-
- Database links
