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      Investigating gene-environment interaction on attention in a double-hit model for Autism Spectrum Disorder

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          Abstract

          Autism Spectrum Disorder (ASD) is a neurodevelopmental behavioral disorder characterized by social, communicative, and motor deficits. There is no single etiological cause for ASD, rather, there are various genetic and environmental factors that increase the risk for ASD. It is thought that some of these factors influence the same underlying neural mechanisms, and that an interplay of both genetic and environmental factors would better explain the pathogenesis of ASD. To better appreciate the influence of genetic-environment interaction on ASD-related behaviours, rats lacking a functional copy of the ASD-linked gene Cntnap2 were exposed to maternal immune activation (MIA) during pregnancy and assessed in adolescence and adulthood. We hypothesized that Cntnap2 deficiency interacts with poly I:C MIA to aggravate ASD-like symptoms in the offspring. In this double-hit model, we assessed attention, a core deficit in ASD due to prefrontal cortical dysfunction. We employed a well-established attentional paradigm known as the 5-choice serial reaction time task (5CSRTT). Cntnap2 -/- rats exhibited greater perseverative responses which is indicative of repetitive behaviors. Additionally, rats exposed to poly I:C MIA exhibited premature responses, a marker of impulsivity. The rats exposed to both the genetic and environmental challenge displayed an increase in impulsive activity; however, this response was only elicited in the presence of an auditory distractor. This implies that exacerbated symptomatology in the double-hit model may situation-dependent and not generally expressed.

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          Diagnostic and Statistical Manual of Mental Disorders

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            Identification of common genetic risk variants for autism spectrum disorder

            Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of neurodevelopmental phenotypes diagnosed in more than 1% of children. Common genetic variants contribute substantially to ASD susceptibility, but to date no individual variants have been robustly associated with ASD. With a marked sample-size increase from a unique Danish population resource, we report a genome-wide association meta-analysis of 18,381 individuals with ASD and 27,969 controls that identified five genome-wide-significant loci. Leveraging GWAS results from three phenotypes with significantly overlapping genetic architectures (schizophrenia, major depression, and educational attainment), we identified seven additional loci shared with other traits at equally strict significance levels. Dissecting the polygenic architecture, we found both quantitative and qualitative polygenic heterogeneity across ASD subtypes. These results highlight biological insights, particularly relating to neuronal function and corticogenesis, and establish that GWAS performed at scale will be much more productive in the near term in ASD.
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              Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci.

              Analysis of de novo CNVs (dnCNVs) from the full Simons Simplex Collection (SSC) (N = 2,591 families) replicates prior findings of strong association with autism spectrum disorders (ASDs) and confirms six risk loci (1q21.1, 3q29, 7q11.23, 16p11.2, 15q11.2-13, and 22q11.2). The addition of published CNV data from the Autism Genome Project (AGP) and exome sequencing data from the SSC and the Autism Sequencing Consortium (ASC) shows that genes within small de novo deletions, but not within large dnCNVs, significantly overlap the high-effect risk genes identified by sequencing. Alternatively, large dnCNVs are found likely to contain multiple modest-effect risk genes. Overall, we find strong evidence that de novo mutations are associated with ASD apart from the risk for intellectual disability. Extending the transmission and de novo association test (TADA) to include small de novo deletions reveals 71 ASD risk loci, including 6 CNV regions (noted above) and 65 risk genes (FDR ≤ 0.1).
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                Author and article information

                Contributors
                Role: Data curationRole: InvestigationRole: MethodologyRole: SupervisionRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: Investigation
                Role: ConceptualizationRole: Supervision
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                15 May 2024
                2024
                : 19
                : 5
                : e0299380
                Affiliations
                [1 ] Neuroscience Graduate Program, The University of Western Ontario, London, ON, Canada
                [2 ] Anatomy & Cell Biology, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, ON, Canada
                [3 ] Psychology, The University of Western Ontario, London, ON, Canada
                Murdoch University, AUSTRALIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                [¤]

                Current address: Schulich School of Medicine & Dentistry, The University of Western Ontario, London, ON, Canada

                Author information
                https://orcid.org/0000-0001-5366-8061
                Article
                PONE-D-23-14064
                10.1371/journal.pone.0299380
                11095761
                38748694
                e6ac23b7-decf-44c6-a688-a844d8ab0448
                © 2024 Maroon et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 8 May 2023
                : 8 February 2024
                Page count
                Figures: 4, Tables: 0, Pages: 17
                Funding
                Funded by: Canadian Institute for Health Research (CIHR)
                Award ID: PJF168866
                Award Recipient :
                This study was funded by CIHR to SS. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
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                Custom metadata
                All data are displayed in the paper or supplemental data. Raw data of the touch screen task are freely available on figshare, DOI: 10.6084/m9.figshare.25408720.

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