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Clinical heterogeneity among people with high functioning autism spectrum conditions: evidence favouring a continuous severity gradient

BACKGROUND: Autism Spectrum Conditions (ASCs) are characterized by a high degree of clinical heterogeneity, but the extent to which this variation represents a severity gradient versus discrete phenotypes is unclear. This issue has complicated genetic studies seeking to investigate the genetic basis...

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Autores principales: Ring, Howard, Woodbury-Smith, Marc, Watson, Peter, Wheelwright, Sally, Baron-Cohen, Simon
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2265729/
https://www.ncbi.nlm.nih.gov/pubmed/18289376
http://dx.doi.org/10.1186/1744-9081-4-11
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author Ring, Howard
Woodbury-Smith, Marc
Watson, Peter
Wheelwright, Sally
Baron-Cohen, Simon
author_facet Ring, Howard
Woodbury-Smith, Marc
Watson, Peter
Wheelwright, Sally
Baron-Cohen, Simon
author_sort Ring, Howard
collection PubMed
description BACKGROUND: Autism Spectrum Conditions (ASCs) are characterized by a high degree of clinical heterogeneity, but the extent to which this variation represents a severity gradient versus discrete phenotypes is unclear. This issue has complicated genetic studies seeking to investigate the genetic basis of the high hereditability observed clinically in those with an ASC. The aim of this study was to examine the possible clustering of symptoms associated with ASCs to determine whether the observed distribution of symptom type and severity supported either a severity or a symptom subgroup model to account for the phenotypic variation observed within the ASCs. METHODS: We investigated the responses of a group of adults with higher functioning ASCs on the fifty clinical features examined in the Autism Spectrum Quotient, a screening questionnaire used in the diagnosis of higher functioning ASCs. In contrast to previous studies we have used this instrument with no a priori assumptions about any underlying factor structure of constituent items. The responses obtained were analyzed using complete linkage hierarchical cluster analysis. For the members of each cluster identified the mean score on each Autism Spectrum Quotient question was calculated. RESULTS: Autism Spectrum Quotient responses from a total of 333 individuals between the ages of 16.6 and 78.0 years were entered into the hierarchical cluster analysis. The four cluster solution was the one that generated the largest number of clusters that did not also include very small cluster sizes, defined as a membership comprising 10 individuals or fewer. Examination of these clusters demonstrated that they varied in total Autism Spectrum Quotient but that the profiles across the symptoms comprising the Autism Spectrum Quotient did not differ independently of this severity factor. CONCLUSION: These results are consistent with a unitary spectrum model, suggesting that the clinical heterogeneity observed in those with an autistic spectrum condition at the higher-IQ end of the spectrum is associated with a gradient in the overall severity of the ASC rather than with the presence of different specific symptom profiles in different individuals. The implications of this for genetic research are considered.
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spelling pubmed-22657292008-03-08 Clinical heterogeneity among people with high functioning autism spectrum conditions: evidence favouring a continuous severity gradient Ring, Howard Woodbury-Smith, Marc Watson, Peter Wheelwright, Sally Baron-Cohen, Simon Behav Brain Funct Research BACKGROUND: Autism Spectrum Conditions (ASCs) are characterized by a high degree of clinical heterogeneity, but the extent to which this variation represents a severity gradient versus discrete phenotypes is unclear. This issue has complicated genetic studies seeking to investigate the genetic basis of the high hereditability observed clinically in those with an ASC. The aim of this study was to examine the possible clustering of symptoms associated with ASCs to determine whether the observed distribution of symptom type and severity supported either a severity or a symptom subgroup model to account for the phenotypic variation observed within the ASCs. METHODS: We investigated the responses of a group of adults with higher functioning ASCs on the fifty clinical features examined in the Autism Spectrum Quotient, a screening questionnaire used in the diagnosis of higher functioning ASCs. In contrast to previous studies we have used this instrument with no a priori assumptions about any underlying factor structure of constituent items. The responses obtained were analyzed using complete linkage hierarchical cluster analysis. For the members of each cluster identified the mean score on each Autism Spectrum Quotient question was calculated. RESULTS: Autism Spectrum Quotient responses from a total of 333 individuals between the ages of 16.6 and 78.0 years were entered into the hierarchical cluster analysis. The four cluster solution was the one that generated the largest number of clusters that did not also include very small cluster sizes, defined as a membership comprising 10 individuals or fewer. Examination of these clusters demonstrated that they varied in total Autism Spectrum Quotient but that the profiles across the symptoms comprising the Autism Spectrum Quotient did not differ independently of this severity factor. CONCLUSION: These results are consistent with a unitary spectrum model, suggesting that the clinical heterogeneity observed in those with an autistic spectrum condition at the higher-IQ end of the spectrum is associated with a gradient in the overall severity of the ASC rather than with the presence of different specific symptom profiles in different individuals. The implications of this for genetic research are considered. BioMed Central 2008-02-20 /pmc/articles/PMC2265729/ /pubmed/18289376 http://dx.doi.org/10.1186/1744-9081-4-11 Text en Copyright © 2008 Ring et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Ring, Howard
Woodbury-Smith, Marc
Watson, Peter
Wheelwright, Sally
Baron-Cohen, Simon
Clinical heterogeneity among people with high functioning autism spectrum conditions: evidence favouring a continuous severity gradient
title Clinical heterogeneity among people with high functioning autism spectrum conditions: evidence favouring a continuous severity gradient
title_full Clinical heterogeneity among people with high functioning autism spectrum conditions: evidence favouring a continuous severity gradient
title_fullStr Clinical heterogeneity among people with high functioning autism spectrum conditions: evidence favouring a continuous severity gradient
title_full_unstemmed Clinical heterogeneity among people with high functioning autism spectrum conditions: evidence favouring a continuous severity gradient
title_short Clinical heterogeneity among people with high functioning autism spectrum conditions: evidence favouring a continuous severity gradient
title_sort clinical heterogeneity among people with high functioning autism spectrum conditions: evidence favouring a continuous severity gradient
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2265729/
https://www.ncbi.nlm.nih.gov/pubmed/18289376
http://dx.doi.org/10.1186/1744-9081-4-11
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