Latent-class analysis of recurrence risks for complex phenotypes with selection and measurement error: a twin and family history study of autism.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 7668301.
- Also identified by PMC identifier 1801262.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
The use of the family history method to examine the pattern of recurrence risks for complex disorders such as autism is not straightforward. Problems such as uncertain phenotypic definition, unreliable measurement with increased error rates for more distant relatives, and selection due to reduced fertility all complicate the estimation of risk ratios. Using data from a recent family history study of autism, and a similar study of twins, this paper shows how a latent-class approach can be used to tackle these problems. New findings are presented supporting a multiple-locus model of inheritance, with three loci giving the best fit.
Medical subject headings
- Autistic Disorder
- Diseases in Twins
- Models, Genetic
- Selection, Genetic