| Literature DB >> 30392784 |
Jinyu Wu1, Ping Yu1, Xin Jin2, Xiu Xu3, Jinchen Li4, Zhongshan Li1, Mingbang Wang2, Tao Wang1, Xueli Wu2, Yi Jiang1, Wanshi Cai5, Junpu Mei2, Qingjie Min1, Qiong Xu3, Bingrui Zhou3, Hui Guo4, Ping Wang6, Wenhao Zhou3, Zhengmao Hu4, Yingrui Li2, Tao Cai1, Yi Wang3, Kun Xia7, Yong-Hui Jiang8, Zhong Sheng Sun9.
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical and genetic heterogeneity. In this study, we identified all classes of genomic variants from whole-genome sequencing (WGS) dataset of 32 Chinese trios with ASD, including de novo mutations, inherited variants, copy number variants (CNVs) and genomic structural variants. A higher mutation rate (Poisson test, P < 2.2 × 10-16) in exonic (1.37 × 10-8) and 3'-UTR regions (1.42 × 10-8) was revealed in comparison with that of whole genome (1.05 × 10-8). Using an integrated model, we identified 87 potentially risk genes (P < 0.01) from 4832 genes harboring various rare deleterious variants, including CHD8 and NRXN2, implying that the disorders may be in favor to multiple-hit. In particular, frequent rare inherited mutations of several microcephaly-associated genes (ASPM, WDR62, and ZNF335) were found in ASD. In chromosomal structure analyses, we found four de novo CNVs and one de novo chromosomal rearrangement event, including a de novo duplication of UBE3A-containing region at 15q11.2-q13.1, which causes Angelman syndrome and microcephaly, and a disrupted TNR due to de novo chromosomal translocation t(1; 5)(q25.1; q33.2). Taken together, our results suggest that abnormalities of centrosomal function and chromatin remodeling of the microcephaly-associated genes may be implicated in pathogenesis of ASD. Adoption of WGS as a new yet efficient technique to illustrate the full genetic spectrum in complex disorders, such as ASD, could provide novel insights into pathogenesis, diagnosis and treatment.Entities:
Keywords: Autism spectrum disorders; De novo mutations; Microcephaly-associated genes; Whole-genome sequencing
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Year: 2018 PMID: 30392784 DOI: 10.1016/j.jgg.2018.09.002
Source DB: PubMed Journal: J Genet Genomics ISSN: 1673-8527 Impact factor: 4.275