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Neuroinformatics

, Volume 12, Issue 2, pp 291–305 | Cite as

Modeling the Autism Spectrum Disorder Phenotype

  • Alexa T. McCray
  • Philip Trevvett
  • H. Robert Frost
Data Original Article

Abstract

Autism Spectrum Disorder (ASD) is highly heritable, and although there has been active research in an attempt to discover the genetic factors underlying ASD, diagnosis still depends heavily on behavioral assessments. Recently, several large-scale initiatives, including those of the Autism Consortium, have contributed to the collection of extensive information from families affected by ASD. Our goal was to develop an ontology that can be used 1) to provide improved access to the data collected by those who study ASD and other neurodevelopmental disorders, and 2) to assess and compare the characteristics of the instruments that are used in the assessment of ASD. We analyzed two dozen instruments used to assess ASD, studying the nature of the questions asked and items assessed, the method of delivery, and the overall scope of the content. These data together with the extensive literature on ASD contributed to our iterative development of an ASD phenotype ontology. The final ontology comprises 283 concepts distributed across three high-level classes, ‘Personal Traits’, ‘Social Competence’, and ‘Medical History’. The ontology is fully integrated with the Autism Consortium database, allowing researchers to pose ontology-based questions. The ontology also allows researchers to assess the degree of overlap among a set of candidate instruments according to several objective criteria. The ASD phenotype ontology has promise for use in research settings where extensive phenotypic data have been collected, allowing a concept-based approach to identifying behavioral features of importance and for correlating these with genotypic data.

Keywords

Ontologies Autism spectrum disorder Behavioral phenotype Standardized diagnostic and screening instruments 

Notes

Acknowledgments

The authors were supported in part by grants from an Anonymous Foundation, the Autism Consortium, and the Harvard Clinical and Translational Science Center (NIH/NCRR UL1 RR025758-01). The authors thank Juliane Schneider and Cecilia Vernes for their contributions to the ontology and the team at MGH who developed the Autism Consortium database, including David Pauls and Julia O’Rourke.

Supplementary material

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Alexa T. McCray
    • 1
  • Philip Trevvett
    • 1
  • H. Robert Frost
    • 1
    • 2
  1. 1.Center for Biomedical InformaticsHarvard Medical SchoolBostonUSA
  2. 2.Institute for Quantitative Biomedical SciencesDartmouth CollegeHanoverUSA

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