Please use this identifier to cite or link to this item: https://swslhd.intersearch.com.au/swslhdjspui/handle/1/956
Title: Genetic Pathways Associated With Sleep Problems in Children With Autism Spectrum Disorder
Authors: Lin, P. I.
Masi, A.
Moni, M. A.
Kummerfeld, S.
Eapen, V.
Affiliates: School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia Mental Health Research Unit, South Western Sydney Local Health District and Ingham Institute, Sydney, NSW, Australia Academic Unit of Psychiatry, Infant Child and Adolescent Mental Health Services, South Western Sydney Local Health District and Ingham Institute, Sydney, NSW, Australia Artificial Intelligence and Digital Health Data Science, School of Health and Rehabilitation Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St. Lucia, QLD, Australia Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia Cooperative Research Centre for Living With Autism (Autism CRC), The University of Queensland, Indooroopilly, QLD, Australia
Issue Date: 2022
Journal: Frontiers in Psychiatry
Abstract: Aims: Children on the autism spectrum are more likely to have sleep problems than non-autistic children. Sleep disturbance may exacerbate emotional and behavioral problems of children on the autism spectrum. A better understanding of the biological mechanisms underlying sleep disturbance provide clues to better management for this co-morbid condition in autism. The goal of the current study is to identify genetic variants associated with sleep disturbance and melatonin levels in autistic children. Methods: A total of 969 children on the autism spectrum were genotyped using the Global Screening Array v1 or Global Screening Array v2. Sleep problems were assessed using the Children's Sleep Habits Questionnaire (CSHQ). Melatonin levels were measured using the urine samples of 219 probands. The relationship between the melatonin level and CSHQ score was examined using the general linear model. The genetic variants associated with the CSHQ score and melatonin level as two separate quantitative traits were determined using genomewide association studies. Results: The data indicates that urine melatonin levels were positively associated with CSHQ scores, suggesting that autistic children with a poorer sleep qualiy could has higher melatonin level. Furthermore, genetic assocication studies suggest that genetic pathways involved in pro-inflammatory responses might be involved in sleep disturbance, while genetic pathways involved in catecholamine-secreting PC12 cells and Schwann cells could be associated with melatonin levels. Conclusions: Taken together, our findings indicate that sleep disturbance and melatonin metabolism could be attributable to distinct biological mechanisms in autistic children since they might not share genetic contributors. Copyright ? 2022 Lin, Masi, Moni, Kummerfeld and Eapen.
URI: https://swslhd.intersearch.com.au/swslhdjspui/handle/1/956
Digital object identifier: 10.3389/fpsyt.2022.904091
Appears in Collections:South Western Sydney Local Health District

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