Defining Autism Subgroups: A Taxometric Solution

  • David G. Ingram
  • T. Nicole Takahashi
  • Judith H. Miles
Original Paper

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.

Keywords

Autism subgroups Taxometrics 

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • David G. Ingram
    • 1
  • T. Nicole Takahashi
    • 1
  • Judith H. Miles
    • 1
  1. 1.Thompson Center for Autism & Neurodevelopmental DisordersUniversity of Missouri-ColumbiaColumbiaUSA

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