Back to Search
Start Over
Comparative Analyses of Copy-Number Variation in Autism Spectrum Disorder and Schizophrenia Reveal Etiological Overlap and Biological Insights
- Source :
- Cell Reports, Vol 24, Iss 11, Pp 2838-2856 (2018)
- Publication Year :
- 2018
- Publisher :
- Elsevier, 2018.
-
Abstract
- Summary: Compelling evidence in Caucasian populations suggests a role for copy-number variations (CNVs) in autism spectrum disorder (ASD) and schizophrenia (SCZ). We analyzed 1,108 ASD cases, 2,458 SCZ cases, and 2,095 controls in a Japanese population and confirmed an increased burden of rare exonic CNVs in both disorders. Clinically significant (or pathogenic) CNVs, including those at 29 loci common to both disorders, were found in about 8% of ASD and SCZ cases, which was significantly higher than in controls. Phenotypic analysis revealed an association between clinically significant CNVs and intellectual disability. Gene set analysis showed significant overlap of biological pathways in both disorders including oxidative stress response, lipid metabolism/modification, and genomic integrity. Finally, based on bioinformatics analysis, we identified multiple disease-relevant genes in eight well-known ASD/SCZ-associated CNV loci (e.g., 22q11.2, 3q29). Our findings suggest an etiological overlap of ASD and SCZ and provide biological insights into these disorders. : Kushima et al. perform comparative analyses of CNVs in ASD and SCZ in a Japanese population. They identify pathogenic CNVs and biological pathways in each disorder with significant overlap. Patients with pathogenic CNVs have a higher prevalence of intellectual disability. Disease-relevant genes are detected in eight well-known ASD/SCZ-associated CNV loci. Keywords: autism spectrum disorder, schizophrenia, copy-number variation, array comparative genomic hybridization, genetic overlap, Japanese population, oxidative stress response, genome integrity, lipid metabolism, gene ontology
- Subjects :
- Biology (General)
QH301-705.5
Subjects
Details
- Language :
- English
- ISSN :
- 22111247
- Volume :
- 24
- Issue :
- 11
- Database :
- Directory of Open Access Journals
- Journal :
- Cell Reports
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.2064170fe43b4946ba62639f716f9f05
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.celrep.2018.08.022