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      Early life environmental factors associated with autism spectrum disorder symptoms in children at age 2 years: A birth cohort study

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          Abstract

          Mounting evidence finds that early life environmental factors increased the probability of autism spectrum disorder. We estimated prospective associations between early life environmental factors and autism spectrum disorder symptoms in children at the age of 2 years in a population-derived birth cohort, the Barwon Infant Study. Autism spectrum disorder symptoms at the age of 2 years strongly predicted autism spectrum disorder diagnosis by the age of 4 years (area under curve = 0.93; 95% CI (0.82, 1.00)). After adjusting for child’s sex and age at the time of behavioural assessment, markers of socioeconomic disadvantage, such as lower household income and lone parental status; maternal health factors, including younger maternal age, maternal pre-pregnancy body mass index, higher gestational weight gain and prenatal maternal stress; prenatal alcohol; environmental air pollutant exposures, including particulate matter < 2.5 µm at birth, child secondhand tobacco smoke exposure at 12 months, dampness/mould and home heating with oil, kerosene or diesel heaters at 2 years postnatal. Lower socioeconomic indexes for area, later birth order, higher maternal prenatal depression, and maternal smoking frequency had a dose-response relationship with autism spectrum disorder symptoms. Future studies on environmental factors and autism spectrum disorder should consider the reasons for the socioeconomic disparity and the combined impact of multiple environmental factors through common mechanistic pathways.

          Lay abstract

          Mounting evidence indicates the contribution of early life environmental factors in autism spectrum disorder. We aim to report the prospective associations between early life environmental factors and autism spectrum disorder symptoms in children at the age of 2 years in a population-derived birth cohort, the Barwon Infant Study. Autism spectrum disorder symptoms at the age of 2 years strongly predicted autism spectrum disorder diagnosis by the age of 4 years (area under curve = 0.93; 95% CI (0.82, 1.00)). After adjusting for child’s sex and age at the time of behavioural assessment, markers of socioeconomic disadvantage, such as lower household income and lone parental status; maternal health factors, including younger maternal age, maternal pre-pregnancy body mass index, higher gestational weight gain and prenatal maternal stress; maternal lifestyle factors, such as prenatal alcohol and environmental air pollutant exposures, including particulate matter < 2.5 μm at birth, child secondhand tobacco smoke at 12 months, dampness/mould and home heating with oil, kerosene or diesel heaters at 2 years postnatal. Lower socioeconomic indexes for area, later birth order, higher maternal prenatal depression and maternal smoking frequency had a dose-response relationship with autism spectrum disorder symptoms. Future studies on environmental factors and autism spectrum disorder should consider the reasons for the socioeconomic disparity and the combined impact of multiple environmental factors through common mechanistic pathways.

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          Most cited references115

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          Diagnostic and Statistical Manual of Mental Disorders

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            A Global Measure of Perceived Stress

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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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                Author and article information

                Contributors
                Journal
                Autism
                Autism
                SAGE Publications
                1362-3613
                1461-7005
                January 11 2022
                : 136236132110682
                Affiliations
                [1 ]Murdoch Children’s Research Institute, Parkville, Australia
                [2 ]The Florey Institute of Neuroscience and Mental Health, Parkville, Australia
                [3 ]The University of Melboure, Parkville, Australia
                [4 ]Deakin University, Geelong, Australia
                [5 ]The University of Queensland, South Brisbane, Australia
                [6 ]The University of Queensland, Herston, Australia
                Article
                10.1177/13623613211068223
                35012378
                314ae5ad-3a48-4e88-b20d-92dfeafeddb6
                © 2022

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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