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The role of rare structural variants in the genetics of autism spectrum disorders.

ABSTRACT: Autism is a neurodevelopmental disorder characterized by impaired social interaction and communication and restricted interests and behaviors. Despite high estimates of heritability, genetic causes of ASD have long been elusive, due in part to a high degree of genetic and phenotypic heterogeneity (Bailey et al., 1995). Recently, important advances have been made in the genetics of ASD with the use of new technologies for the direct detection of copy number variation (CNV) in the human genome. CNV studies have revealed that de novo deletions and duplications, typically less than 1 Mb in size, are strongly associated with ASD, suggesting that spontaneous structural mutations play a more important role in the etiology of disease than was previously recognized. Rare mutations have been identified at many different locations in the genome, and multiple 'hot spots' have been identified where identical rearrangements recur with high frequency. These findings are consistent with the hypothesis that autism, like mental retardation, is caused by a large number of individually rare mutations. These studies serve as a model for how other emerging technologies for mutation detection (e.g. next generation sequencing platforms) could be used to further elucidate the role of rare sequence changes in ASD.

SUBMITTER: Kusenda M

PROVIDER: S-EPMC2920182 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature

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The role of rare structural variants in the genetics of autism spectrum disorders.

Kusenda M M Sebat J J

Cytogenetic and genome research 20080101 1-4

Autism is a neurodevelopmental disorder characterized by impaired social interaction and communication and restricted interests and behaviors. Despite high estimates of heritability, genetic causes of ASD have long been elusive, due in part to a high degree of genetic and phenotypic heterogeneity (Bailey et al., 1995). Recently, important advances have been made in the genetics of ASD with the use of new technologies for the direct detection of copy number variation (CNV) in the human genome. CN ...[more]

PMID: 19287137

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Project description:BackgroundRare genetic variants contribute to the etiology of both autism spectrum disorder (ASD) and schizophrenia (SCZ). Most genetic studies limit their focus to likely gene-disrupting mutations because they are relatively easier to interpret their effects on the gene product. Interpretation of missense variants is also informative to some pathophysiological mechanisms of these neurodevelopmental disorders; however, their contribution has not been elucidated because of relatively small effects. Therefore, we characterized missense variants detected in NRXN1, a well-known neurodevelopmental disease-causing gene, from individuals with ASD and SCZ.MethodsTo discover rare variants with large effect size and to evaluate their role in the shared etiopathophysiology of ASD and SCZ, we sequenced NRXN1 coding exons with a sample comprising 562 Japanese ASD and SCZ patients, followed by a genetic association analysis in 4273 unrelated individuals. Impact of each missense variant detected here on cell surface expression, interaction with NLGN1, and synaptogenic activity was analyzed using an in vitro functional assay and in silico three-dimensional (3D) structural modeling.ResultsThrough mutation screening, we regarded three ultra-rare missense variants (T737M, D772G, and R856W), all of which affected the LNS4 domain of NRXN1α isoform, as disease-associated variants. Diagnosis of individuals with T737M, D772G, and R856W was 1ASD and 1SCZ, 1ASD, and 1SCZ, respectively. We observed the following phenotypic and functional burden caused by each variant. (i) D772G and R856W carriers had more serious social disabilities than T737M carriers. (ii) In vitro assay showed reduced cell surface expression of NRXN1α by D772G and R856W mutations. In vitro functional analysis showed decreased NRXN1α-NLGN1 interaction of T737M and D772G mutants. (iii) In silico 3D structural modeling indicated that T737M and D772G mutations could destabilize the rod-shaped structure of LNS2-LNS5 domains, and D772G and R856W could disturb N-glycan conformations for the transport signal.ConclusionsThe combined data suggest that missense variants in NRXN1 could be associated with phenotypes of neurodevelopmental disorders beyond the diagnosis of ASD and/or SCZ.

Project description:Autism spectrum disorders (ASD) are neurodevelopmental disorders characterized by delayed/abnormal language development, deficits in social interaction, repetitive behaviors and restricted interests. The heterogeneity in clinical presentation of ASD, likely due to different etiologies, complicates genetic/biological analyses of these disorders. DNA microarray analyses were conducted on 116 lymphoblastoid cell lines (LCL) from individuals with idiopathic autism who are divided into 3 phenotypic subgroups according to severity scores from the commonly used Autism Diagnostic Interview-Revised questionnaire and age-matched, nonautistic controls. Statistical analyses of gene expression data from control LCL against that of LCL from ASD probands identify genes for which expression levels are either quantitatively or qualitatively associated with phenotypic severity. Comparison of the significant differentially expressed genes from each subgroup relative to the control group reveals differentially expressed genes unique to each subgroup as well as genes in common across subgroups. Among the findings unique to the most severely affected ASD group are genes that regulate circadian rhythm, which has been shown to have multiple effects on neurological as well as metabolic functions commonly dysregulated in autism. Among the genes common to all 3 subgroups of ASD are 5 novel genes which appear to associate with androgen sensitivity, which may underlie the strong 4:1 bias towards affected males. Gene expression profiling of 116 LCL from autistic (87) and nonautistic (29) individuals were obtained using a custom-printed DNA microarray containing 39,936 elements (TIGR 40K Human array, GPL3427) and a reference design in which each sample was compared to the Stratagene Universal Human RNA standard. The 87 autistic samples were divided into phenotypic subgroups (language, mild, savant) on the basis of cluster analyses of scores from an autism diagnostic questionnaire, the Autism Diagnostic Interview-Revised instrument. Differentially expressed genes were determined for all autistic vs. control groups, as well as for each of 3 phenotypic ASD groups and controls.

Dataset Information

The role of rare structural variants in the genetics of autism spectrum disorders.

Publications

The role of rare structural variants in the genetics of autism spectrum disorders.

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