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01-05-2008 | Original Paper

Defining Autism Subgroups: A Taxometric Solution

Auteurs: David G. Ingram, T. Nicole Takahashi, Judith H. Miles

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 5/2008

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Abstract

The purpose of the present study was to determine which behavioral and physical phenotypes would be most likely to divide the ASD population into discrete subgroups. The taxometric methods of Maximum Covariance (MAXCOV) and Minus Mean Below A Cut (MAMBAC) were employed to test for categorical versus continuous variation of each phenotype across the ASD population. Data was retrieved from the Autism Genetic Resource Exchange and the University of Missouri Autism Database. The results of our analyses support subgrouping subjects based on variation in social interaction/communication, intelligence, and essential/complex phenotype; in contrast, subjects varied continuously in insistence on sameness, repetitive sensory motor actions, language acquisition, and, tentatively, adaptive functioning. Stratifying ASD samples based on taxometric results should increase power in gene-finding studies and aid in treatment efficacy research.
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Metagegevens
Titel
Defining Autism Subgroups: A Taxometric Solution
Auteurs
David G. Ingram
T. Nicole Takahashi
Judith H. Miles
Publicatiedatum
01-05-2008
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders / Uitgave 5/2008
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-007-0469-y