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Wang K, Qi Q, Luo Z, Zhou J, Chen S, Wang L. Autism spectrum disorder: Status of primary care in China. Biosci Trends 2022; 16:172-175. [PMID: 35283397 DOI: 10.5582/bst.2022.01093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Kunxiu Wang
- College of Acupuncture and Orthopedics, Hubei University of Chinese Medicine, Wuhan, Hubei, China
| | - Qing Qi
- Laboratory for Reproductive Immunology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Zhihui Luo
- College of Acupuncture and Orthopedics, Hubei University of Chinese Medicine, Wuhan, Hubei, China
| | - Jing Zhou
- Laboratory for Reproductive Immunology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Song Chen
- College of Acupuncture and Orthopedics, Hubei University of Chinese Medicine, Wuhan, Hubei, China
| | - Ling Wang
- Laboratory for Reproductive Immunology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
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Zhang R, He H, Yuan B, Wu Z, Wang X, Du Y, Chen Y, Qiu Z. An Intronic Variant of CHD7 Identified in Autism Patients Interferes with Neuronal Differentiation and Development. Neurosci Bull 2021; 37:1091-1106. [PMID: 33948885 PMCID: PMC8353028 DOI: 10.1007/s12264-021-00685-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 12/27/2020] [Indexed: 12/12/2022] Open
Abstract
Genetic composition plays critical roles in the pathogenesis of autism spectrum disorder (ASD). Especially, inherited and de novo intronic variants are often seen in patients with ASD. However, the biological significance of intronic variants is difficult to address. Here, among a Chinese ASD cohort, we identified a recurrent inherited intronic variant in the CHD7 gene, which is specifically enriched in East Asian populations. CHD7 has been implicated in numerous developmental disorders including CHARGE syndrome and ASD. To investigate whether the ASD-associated CHD7 intronic variant affects neural development, we established human embryonic stem cells carrying this variant using CRISPR/Cas9 methods and found that the level of CHD7 mRNA significantly decreased compared to control. Upon differentiation towards the forebrain neuronal lineage, we found that neural cells carrying the CHD7 intronic variant exhibited developmental delay and maturity defects. Importantly, we found that TBR1, a gene also implicated in ASD, was significantly increased in neurons carrying the CHD7 intronic variant, suggesting the intrinsic relevance among ASD genes. Furthermore, the morphological defects found in neurons carrying CHD7 intronic mutations were rescued by knocking down TBR1, indicating that TBR1 may be responsible for the defects in CHD7-related disorders. Finally, the CHD7 intronic variant generated three abnormal forms of transcripts through alternative splicing, which all exhibited loss-of-function in functional assays. Our study provides crucial evidence supporting the notion that the intronic variant of CHD7 is potentially an autism susceptibility site, shedding new light on identifying the functions of intronic variants in genetic studies of autism.
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Affiliation(s)
- Ran Zhang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, 201210, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Hui He
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, 201210, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Bo Yuan
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, 201210, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Ziyan Wu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, 201210, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiuzhen Wang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, 201210, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Yasong Du
- Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China.
| | - Yuejun Chen
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, 201210, China.
- University of the Chinese Academy of Sciences, Beijing, 100049, China.
| | - Zilong Qiu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, 201210, China.
- University of the Chinese Academy of Sciences, Beijing, 100049, China.
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Searles Quick VB, Wang B, State MW. Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders. Neuropsychopharmacology 2021; 46:55-69. [PMID: 32668441 PMCID: PMC7688655 DOI: 10.1038/s41386-020-0768-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 06/26/2020] [Accepted: 07/06/2020] [Indexed: 12/15/2022]
Abstract
"Big data" approaches in the form of large-scale human genomic studies have led to striking advances in autism spectrum disorder (ASD) genetics. Similar to many other psychiatric syndromes, advances in genotyping technology, allowing for inexpensive genome-wide assays, has confirmed the contribution of polygenic inheritance involving common alleles of small effect, a handful of which have now been definitively identified. However, the past decade of gene discovery in ASD has been most notable for the application, in large family-based cohorts, of high-density microarray studies of submicroscopic chromosomal structure as well as high-throughput DNA sequencing-leading to the identification of an increasingly long list of risk regions and genes disrupted by rare, de novo germline mutations of large effect. This genomic architecture offers particular advantages for the illumination of biological mechanisms but also presents distinctive challenges. While the tremendous locus heterogeneity and functional pleiotropy associated with the more than 100 identified ASD-risk genes and regions is daunting, a growing armamentarium of comprehensive, large, foundational -omics databases, across species and capturing developmental trajectories, are increasingly contributing to a deeper understanding of ASD pathology.
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Affiliation(s)
- Veronica B Searles Quick
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Belinda Wang
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Matthew W State
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94143, USA.
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