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Genome-wide Linkage Analyses of Quantitative and Categorical Autism Subphenotypes

Authors :
Andrew Paterson
Guiomar Oliveira
Ellen Wijsman
Guiomar Gonçalves Oliveira
Astrid Vicente
Catalina Betancur
Joseph Buxbaum
Sean Ennis
Anthony Monaco
Stephen W. Scherer
Andrew Green
Marion LEBOYER
Xiao-Qing Liu
Vanessa Bal
Annette Estes
Andrew Pickles
The Hospital for sick children [Toronto] (SickKids)
University of Toronto
McMaster University [Hamilton, Ontario]
Génétique de l'autisme = Genetics of Autism (NPS-01)
Neurosciences Paris Seine (NPS)
Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS)
Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS)
Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
The Autism Genome Project Consortium
Liu XQ
Paterson AD
Szatmari P
Autism Genome Project Consortium [..
Maestrini E
]
Neuroscience Paris Seine (NPS)
Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS)
Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS)
Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Betancur, Catalina
Source :
Biological Psychiatry, Biological Psychiatry, Elsevier, 2008, 64 (7), pp.561-570. ⟨10.1016/j.biopsych.2008.05.023⟩, Biological Psychiatry, 2008, 64 (7), pp.561-570. ⟨10.1016/j.biopsych.2008.05.023⟩
Publisher :
Society of Biological Psychiatry. Published by Elsevier Inc.

Abstract

International audience; Background: The search for susceptibility genes in autism and autism spectrum disorders (ASD) has been hindered by the possible small effects of individual genes and by genetic (locus) heterogeneity. To overcome these obstacles, one method is to use autism-related subphenotypes instead of the categorical diagnosis of autism since they may be more directly related to the underlying susceptibility loci. Another strategy is to analyze subsets of families that meet certain clinical criteria to reduce genetic heterogeneity.Methods: In this study, using 976 multiplex families from the Autism Genome Project consortium, we performed genome-wide linkage analyses on two quantitative subphenotypes, the total scores of the reciprocal social interaction domain and the restricted, repetitive, and stereotyped patterns of behavior domain from the Autism Diagnostic Interview-Revised. We also selected subsets of ASD families based on four binary subphenotypes, delayed onset of first words, delayed onset of first phrases, verbal status, and IQ > or = 70.Results: When the ASD families with IQ > or = 70 were used, a logarithm of odds (LOD) score of 4.01 was obtained on chromosome 15q13.3-q14, which was previously linked to schizophrenia. We also obtained a LOD score of 3.40 on chromosome 11p15.4-p15.3 using the ASD families with delayed onset of first phrases. No significant evidence for linkage was obtained for the two quantitative traits.Conclusions: This study demonstrates that selection of informative subphenotypes to define a homogeneous set of ASD families could be very important in detecting the susceptibility loci in autism.

Details

Language :
English
ISSN :
00063223
Issue :
7
Database :
OpenAIRE
Journal :
Biological Psychiatry
Accession number :
edsair.doi.dedup.....1aca3ddd059930ac969a535a3c40041e
Full Text :
https://doi.org/10.1016/j.biopsych.2008.05.023