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PMID: 7668301 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Latent-class analysis of recurrence risks for complex phenotypes with selection and measurement error: a twin and family history study of autism.

American journal of human genetics ·Vol. 57 ·No. 3 ·1995-09-00 ·Pages 717-26

Pickles A, Bolton P, Macdonald H, Bailey A, Le Couteur A, Sim CH, Rutter M

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.

MeSH Terms
Autistic Disorder/genetics,physiopathology Diseases in Twins/genetics Down Syndrome/genetics,physiopathology Humans Models, Genetic Phenotype Reaction Time Recurrence Risk Factors Selection, Genetic
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Pickles A
MRC Child Psychiatry Unit, Institute of Psychiatry, London, United Kingdom.
Bolton P
Macdonald H
Bailey A
Le Couteur A
Sim C H
Rutter M
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Article Info
Journal
American journal of human genetics
Abbr.
Am J Hum Genet
ISSN
0002-9297
Published
1995-09-00
Pages
717-26
Language
English
Region
United States
NLM ID
0370475
PMCID
PMC1801262
Subset
IM
External Links
PubMed source PMC Full Text View journal details
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