Modeling the phenotypic architecture of autism symptoms from time of diagnosis to age 6.

TitleModeling the phenotypic architecture of autism symptoms from time of diagnosis to age 6.
Publication TypeJournal Article
Year of Publication2014
AuthorsGeorgiades S, Boyle M, Szatmari P, Hanna S, Duku E, Zwaigenbaum L, Bryson S, Fombonne E, Volden J, Mirenda P, Smith I, Roberts W, Vaillancourt T, Waddell C, Bennett T, Elsabbagh M, Thompson A
Corporate AuthorsPathways in ASD Study Team
JournalJ Autism Dev Disord
Volume44
Issue12
Pagination3045-55
Date Published2014 Dec
ISSN1573-3432
KeywordsAge Factors, Child, Child Development Disorders, Pervasive, Child, Preschool, Cohort Studies, Cross-Sectional Studies, Female, Humans, Longitudinal Studies, Male, Phenotype
Abstract

The latent class structure of autism symptoms from the time of diagnosis to age 6 years was examined in a sample of 280 children with autism spectrum disorder. Factor mixture modeling was performed on 26 algorithm items from the Autism Diagnostic Interview - Revised at diagnosis (Time 1) and again at age 6 (Time 2). At Time 1, a "2-factor/3-class" model provided the best fit to the data. At Time 2, a "2-factor/2-class" model provided the best fit to the data. Longitudinal (repeated measures) analysis of variance showed that the "2-factor/3-class" model derived at the time of diagnosis allows for the identification of a subgroup of children (9 % of sample) who exhibit notable reduction in symptom severity.

DOI10.1007/s10803-014-2167-x
Alternate JournalJ Autism Dev Disord
PubMed ID24958435
Grant List / / Canadian Institutes of Health Research / Canada

  • Douglas Hospital
  • Dobell Pavillion
  • Brain imaging centre