期刊
AUTISM RESEARCH
卷 13, 期 9, 页码 1582-1600出版社
WILEY
DOI: 10.1002/aur.2372
关键词
autism spectrum disorder; autistic traits; environment-wide-association study; exposure; perinatal; prenatal
资金
- Erasmus Medical Center, Rotterdam
- Erasmus University Rotterdam
- Netherlands Organisation for Scientific Research (NWO)
- Ministry of Health, Welfare and Sport
- Simons Foundation Autism Research Initiative [SFARI-307280]
- Netherlands Organization for Health Research and Development (ZonMw) TOP project [91211021]
- ZonMw
A combination of genetic and environmental factors contributes to the origins of autism spectrum disorder (ASD). While a number of studies have described specific environmental factors associating with emerging ASD, studies that compare and contrast multiple environmental factors in the same study are lacking. Thus, the goal of this study was to perform a prospective, data-driven environmental-wide association study of pre- and perinatal factors associated with the later development of autistic symptoms in childhood. The participants included 3891 6-year-old children from a birth cohort with pre- and perinatal data. Autistic symptoms were measured using the Social Responsiveness Scale in all children. Prior to any analyses, the sample was randomly split into a discovery set (2920) and a test set (921). Multiple linear regression analyses were performed for each of 920 variables, correcting for six of the most common covariates in epidemiological studies. We found 111 different pre- and perinatal factors associated with autistic traits during childhood. In secondary analyses where we controlled for parental psychopathology, 23 variables in the domains of family and interpersonal relationships were associated with the development of autistic symptoms during childhood. In conclusion, a data-driven approach was used to identify a number of pre- and perinatal risk factors associating with higher childhood autistic symptoms. These factors include measures of parental psychopathology and family and interpersonal relationships. These measures could potentially be used for the early identification of those at increased risk to develop ASD. (C) 2020 The Authors. Autism Research published by International Society for Autism Research and Wiley Periodicals LLC.
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