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Thanseem I, Banerjee M, Melempatt N, Prakash A, Iype M, Anitha A. Comprehensive Genetic Study of a Monozygotic Triplet Discordant for Autism Spectrum Disorder. Neurol India 2024; 72:384-387. [PMID: 38817175 DOI: 10.4103/ni.ni_349_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 09/08/2022] [Indexed: 06/01/2024]
Abstract
There are a few comprehensive genetic studies on autism spectrum disorders (ASD) in India. Children of multiple births are valuable for genomics studies of complex disorders such as ASD. We report whole-exome sequencing (WES) in a triplet family in which only one among the triplet has ASD. The objective of this study was to identify potential candidate genes for ASD. Exome DNA was enriched using a twist human customized core exome kit, and paired-end sequencing was performed. Proband-specific de novo variants included 150 single nucleotide polymorphisms (SNPs) and 74 indels. Thirteen SNPs were in exonic regions, 7 of them being missense variations. Seventeen variants were previously reported in ASD. Genes harboring variants have functions in the development and maintenance of the central nervous system and are enriched in biological processes involving cell adhesion. This is the first comprehensive genetic study of a monozygotic triplet in ASD.
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Affiliation(s)
- Ismail Thanseem
- Department of Neurogenetics, Institute for Communicative and Cognitive Neurosciences (ICCONS), Shoranur, Palakkad, Kerala, India
| | - Moinak Banerjee
- Department of Neurobiology, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India
| | - Nisha Melempatt
- Department of Audiology and Speech Language Pathology (ASLP), ICCONS, Shoranur, Palakkad, Kerala, India
| | - Anil Prakash
- Department of Neurobiology, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India
| | - Mary Iype
- Department of Neurology, ICCONS, Thiruvananthapuram, Kerala, India
| | - Ayyappan Anitha
- Department of Neurogenetics, Institute for Communicative and Cognitive Neurosciences (ICCONS), Shoranur, Palakkad, Kerala, India
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Lin F, Jun Li, Ziqi Wang, Zhang T, Lu T, Jiang M, Yang K, Jia M, Zhang D, Wang L. Replication of previous autism-GWAS hits suggests the association between NAA1, SORCS3, and GSDME and autism in the Han Chinese population. Heliyon 2024; 10:e23677. [PMID: 38234914 PMCID: PMC10792458 DOI: 10.1016/j.heliyon.2023.e23677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 11/25/2023] [Accepted: 12/09/2023] [Indexed: 01/19/2024] Open
Abstract
Background Autism is a severe neurodevelopmental disorder characterized by social interaction deficits, impairments in communication, and restricted and repetitive stereotyped behavior and activities. Family and twin studies suggested an essential role of genetic factors in the etiology of autism spectrum disorder (ASD). Also, other studies found SORCS3 and GSDME (DFNA5) might be involved in brain development and susceptible to ASD. Methods In this study, 17 genome-wide significant SNPs reported in previous ASD genome-wide association studies (GWAS) and 7 SNPs in strong linkage disequilibrium with known ASD GWAS hits were selected to investigate the association between these SNPs and autism in the Han Chinese population. Then, 10 tagSNPs in SORCS3 and 11 tagSNPs in GSDME were selected to analyze the association between these SNPs and autism. The selected 24 SNPs and tagSNPs were genotyped using the Agena MassARRAY SNP genotyping assay in 757 Han Chinese autism trios. Results Rs1484144 in NAA11 was significantly associated with autism; significance remained after the Bonferroni correction (P < 0.0022). Also, rs79879286, rs12154597, and rs12540919 near GSDME, as well as rs9787523 and rs3750261 in SORCS3, were nominally associated with autism. Conclusion Our study suggests that rs1484144 in NAA11 is a significant SNP for autism in the Han Chinese population, while SORCS3 and GSDME might be the susceptibility genes for autism in this population.
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Affiliation(s)
- Fen Lin
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Jun Li
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Ziqi Wang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Tian Zhang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Tianlan Lu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Miaomiao Jiang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Kang Yang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Meixiang Jia
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Dai Zhang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Institute for Brain Research and Rehabilitation (IBRR), South China Normal University, Guangzhou, China
| | - Lifang Wang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
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Lombardi L, Le Clerc S, Wu CL, Bouassida J, Boukouaci W, Sugusabesan S, Richard JR, Lajnef M, Tison M, Le Corvoisier P, Barau C, Banaschewski T, Holt R, Durston S, Persico AM, Oakley B, Loth E, Buitelaar J, Murphy D, Leboyer M, Zagury JF, Tamouza R. A human leukocyte antigen imputation study uncovers possible genetic interplay between gut inflammatory processes and autism spectrum disorders. Transl Psychiatry 2023; 13:244. [PMID: 37407551 DOI: 10.1038/s41398-023-02550-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 06/24/2023] [Accepted: 06/27/2023] [Indexed: 07/07/2023] Open
Abstract
Autism spectrum disorders (ASD) are neurodevelopmental conditions that are for subsets of individuals, underpinned by dysregulated immune processes, including inflammation, autoimmunity, and dysbiosis. Consequently, the major histocompatibility complex (MHC)-hosted human leukocyte antigen (HLA) has been implicated in ASD risk, although seldom investigated. By utilizing a GWAS performed by the EU-AIMS consortium (LEAP cohort), we compared HLA and MHC genetic variants, single nucleotide polymorphisms (SNP), and haplotypes in ASD individuals, versus typically developing controls. We uncovered six SNPs, namely rs9268528, rs9268542, rs9268556, rs14004, rs9268557, and rs8084 that crossed the Bonferroni threshold, which form the underpinnings of 3 independent genetic pathways/blocks that differentially associate with ASD. Block 1 (rs9268528-G, rs9268542-G, rs9268556-C, and rs14004-A) afforded protection against ASD development, whilst the two remaining blocks, namely rs9268557-T, and rs8084-A, associated with heightened risk. rs8084 and rs14004 mapped to the HLA-DRA gene, whilst the four other SNPs located in the BTNL2 locus. Different combinations amongst BTNL2 SNPs and HLA amino acid variants or classical alleles were found either to afford protection from or contribute to ASD risk, indicating a genetic interplay between BTNL2 and HLA. Interestingly, the detected variants had transcriptional and/or quantitative traits loci implications. As BTNL2 modulates gastrointestinal homeostasis and the identified HLA alleles regulate the gastrointestinal tract in celiac disease, it is proposed that the data on ASD risk may be linked to genetically regulated gut inflammatory processes. These findings might have implications for the prevention and treatment of ASD, via the targeting of gut-related processes.
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Affiliation(s)
- Laura Lombardi
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, F-94010, Créteil, France
- Laboratoire Génomique, Bio-informatique et Chimie Moléculaire (EA7528), Conservatoire National des Arts et Métiers, 292, rue Saint Martin, 75003, Paris, France
- HESAM Université, Paris, France
| | - Sigrid Le Clerc
- Laboratoire Génomique, Bio-informatique et Chimie Moléculaire (EA7528), Conservatoire National des Arts et Métiers, 292, rue Saint Martin, 75003, Paris, France
- HESAM Université, Paris, France
| | - Ching-Lien Wu
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, F-94010, Créteil, France
| | - Jihène Bouassida
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, F-94010, Créteil, France
| | - Wahid Boukouaci
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, F-94010, Créteil, France
| | - Sobika Sugusabesan
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, F-94010, Créteil, France
| | - Jean-Romain Richard
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, F-94010, Créteil, France
| | - Mohamed Lajnef
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, F-94010, Créteil, France
| | - Maxime Tison
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, F-94010, Créteil, France
- Laboratoire Génomique, Bio-informatique et Chimie Moléculaire (EA7528), Conservatoire National des Arts et Métiers, 292, rue Saint Martin, 75003, Paris, France
- HESAM Université, Paris, France
| | - Philippe Le Corvoisier
- Université Paris Est Créteil, Inserm, Centre Investigation Clinique, CIC 1430, Henri Mondor, Créteil, F94010, France
| | - Caroline Barau
- Plateforme de Ressources Biologiques, HU Henri Mondor, Créteil, F94010, France
| | - Tobias Banaschewski
- Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Rosemary Holt
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Sarah Durston
- Education Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Antonio M Persico
- Child and Adolescent Neuropsychiatry Program at Modena University Hospital, & Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Bethany Oakley
- Department of Forensic and Neurodevelopemental Science, Institute of Psychatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Eva Loth
- Department of Forensic and Neurodevelopemental Science, Institute of Psychatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Jan Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Declan Murphy
- Department of Forensic and Neurodevelopemental Science, Institute of Psychatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Marion Leboyer
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, F-94010, Créteil, France
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, AP-HP, Hôpital Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision (FHU ADAPT) and Fondation FondaMental, Créteil, F-94010, France
| | - Jean-François Zagury
- Laboratoire Génomique, Bio-informatique et Chimie Moléculaire (EA7528), Conservatoire National des Arts et Métiers, 292, rue Saint Martin, 75003, Paris, France
- HESAM Université, Paris, France
| | - Ryad Tamouza
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, F-94010, Créteil, France.
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie translationnelle, AP-HP, Hôpital Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision (FHU ADAPT) and Fondation FondaMental, Créteil, F-94010, France.
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Mpoulimari I, Zintzaras E. Analysis of convergence of linkage and association studies in autism spectrum disorders. Psychiatr Genet 2023; 33:113-124. [PMID: 37212558 DOI: 10.1097/ypg.0000000000000341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Autism spectrum disorder (ASD) is a clinically and genetically heterogeneous group of pervasive neurodevelopmental disorders with a strong hereditary component. Although genome-wide linkage studies (GWLS) and [genome-wide association studies (GWAS)] have previously identified hundreds of ASD risk gene loci, the results remain inconclusive. In this study, a genomic convergence approach of GWAS and GWLS for ASD was implemented for the first time in order to identify genomic loci supported by both methods. A database with 32 GWLS and five GWAS for ASD was created. Convergence was quantified as the proportion of significant GWAS markers located within linked regions. Convergence was not found to be significantly higher than expected by chance (z-test = 1,177, P = 0,239). Although convergence is supportive of genuine effects, the lack of agreement between GWLS and GWAS is also indicative that these studies are designed to answer different questions and are not equally well suited for deciphering the genetics of complex traits.
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Affiliation(s)
- Ioanna Mpoulimari
- Department of Biomathematics, Faculty of Medicine, University of Thessaly, Larissa, Greece
| | - Elias Zintzaras
- Department of Biomathematics, Faculty of Medicine, University of Thessaly, Larissa, Greece
- The Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts, USA
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5
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Yu L, Ding H, Liu M, Liu L, Zhang Q, Lu J, Guo F, Zhang Y. A novel 1p13.2 deletion associates with neurodevelopmental disorders in a three-generation pedigree. BMC Med Genomics 2023; 16:114. [PMID: 37221554 DOI: 10.1186/s12920-023-01534-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 05/05/2023] [Indexed: 05/25/2023] Open
Abstract
BACKGROUND A multitude of studies have highlighted that copy number variants (CNVs) are associated with neurodevelopmental disorders (NDDs) characterized by a wide range of clinical characteristics. Benefiting from CNV calling from WES data, WES has emerged as a more powerful and cost-effective molecular diagnostic tool, which has been widely used for the diagnosis of genetic diseases, especially NDDs. To our knowledge, isolated deletions on chromosome 1p13.2 are rare. To date, only a few patients were reported with 1p13.2 deletions and most of them were sporadic. Besides, the correlation between 1p13.2 deletions and NDDs remained unclear. CASE PRESENTATION Here, we first reported five members in a three-generation Chinese family who presented with NDDs and carried a novel 1.41 Mb heterozygous 1p13.2 deletion with precise breakpoints. The diagnostic deletion contained 12 protein-coding genes and was observed to segregate with NDDs among the members of our reported family. Whether those genes contribute to the patient's phenotypes is still inconclusive. CONCLUSIONS We hypothesized that the NDD phenotype of our patients was caused by the diagnostic 1p13.2 deletion. However, further in-depth functional experiments are still needed to establish a 1p13.2 deletion-NDDs relationship. Our study might supplement the spectrum of 1p13.2 deletion-NDDs.
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Affiliation(s)
- Lihua Yu
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Hongke Ding
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Min Liu
- Prenatal diagnostic center, Huizhou No2 Maternal and Children's Healthcare Hospital, Huizhou, China
| | - Ling Liu
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Qi Zhang
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Jian Lu
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Fangfang Guo
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Yan Zhang
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China.
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Wang T, Liu L, Fan T, Xia K, Sun Z. Shared and divergent contribution of vitamin A and oxytocin to the aetiology of autism spectrum disorder. Comput Struct Biotechnol J 2023; 21:3109-3123. [PMID: 38213898 PMCID: PMC10782014 DOI: 10.1016/j.csbj.2023.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 05/15/2023] [Accepted: 05/15/2023] [Indexed: 01/13/2024] Open
Abstract
Rare genetic variations contribute to the heterogeneity of autism spectrum disorder (ASD) and the responses to various interventions for ASD probands. However, the associated molecular underpinnings remain unclear. Herein, we estimated the association between rare genetic variations in 410 vitamin A (VA)-related genes (VARGs) and ASD aetiology using publicly available de novo mutations (DNMs), rare inherited variants, and copy number variations (CNVs) from about 50,000 ASD probands and 20,000 normal controls (discovery and validation cohorts). Additionally, given the functional relevance of VA and oxytocin, we systematically compared the similarities and differences between VA and oxytocin with respect to ASD aetiology and evaluated their potential for clinical applications. Functional DNMs and pathogenic CNVs in VARGs contributed to ASD pathogenesis in the discovery and validation cohorts. Additionally, 324 potential VA-related biomarkers were identified, 243 of which were shared with previously identified oxytocin-related biomarkers, while 81 were unique VA biomarkers. Moreover, multivariable logistic regression analysis revealed that both VA- and oxytocin-related biomarkers were able to predict ASD aetiology for individuals carrying functional DNM in corresponding biomarkers with an average precision of 0.94. As well as, convergent and divergent functions were also identified between VA- and oxytocin-related biomarkers. The findings of this study provide a basis for future studies aimed at understanding the pathophysiological mechanisms underlying ASD while also defining a set of potential molecular biomarkers for adjuvant diagnosis and intervention in ASD.
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Affiliation(s)
- Tao Wang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Kaifu District, Changsha, Hunan 410078, China
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China
| | - Liqiu Liu
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China
| | - Tianda Fan
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Kaifu District, Changsha, Hunan 410078, China
- Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou, Zhejiang 325025, China
| | - Kun Xia
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Kaifu District, Changsha, Hunan 410078, China
- CAS Center for Excellence in Brain Science and Intelligences Technology (CEBSIT), Shanghai 200031, China
- Hengyang Medical School, University of South China, Hengyang, Hunan 410078, China
| | - Zhongsheng Sun
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China
- Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou, Zhejiang 325025, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Chinese Academy of Sciences, Beijing 100101, China
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Implications of Genetic Factors and Modifiers in Autism Spectrum Disorders: a Systematic Review. REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2022. [DOI: 10.1007/s40489-022-00333-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Chen HH, Lu HY, Chang CH, Lin SH, Huang CW, Wei PH, Chen YW, Lin YR, Huang HS, Wang PY, Tsao YP, Chen SL. Breast carcinoma-amplified sequence 2 regulates adult neurogenesis via β-catenin. Stem Cell Res Ther 2022; 13:160. [PMID: 35410459 PMCID: PMC8996563 DOI: 10.1186/s13287-022-02837-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 03/31/2022] [Indexed: 11/10/2022] Open
Abstract
Background Breast carcinoma-amplified sequence 2 (BCAS2) regulates β-catenin gene splicing. The conditional knockout of BCAS2 expression in the forebrain (BCAS2 cKO) of mice confers impaired learning and memory along with decreased β-catenin expression. Because β-catenin reportedly regulates adult neurogenesis, we wondered whether BCAS2 could regulate adult neurogenesis via β-catenin. Methods BCAS2-regulating neurogenesis was investigated by characterizing BCAS2 cKO mice. Also, lentivirus-shBCAS2 was intracranially injected into the hippocampus of wild-type mice to knock down BCAS2 expression. We evaluated the rescue effects of BCAS2 cKO by intracranial injection of adeno-associated virus encoding BCAS2 (AAV-DJ8-BCAS2) and AAV-β-catenin gene therapy. Results To show that BCAS2-regulating adult neurogenesis via β-catenin, first, BCAS2 cKO mice showed low SRY-box 2-positive (Sox2+) neural stem cell proliferation and doublecortin-positive (DCX+) immature neurons. Second, stereotaxic intracranial injection of lentivirus-shBCAS2 knocked down BCAS2 in the hippocampus of wild-type mice, and we confirmed the BCAS2 regulation of adult neurogenesis via β-catenin. Third, AAV-DJ8-BCAS2 gene therapy in BCAS2 cKO mice reversed the low proliferation of Sox2+ neural stem cells and the decreased number of DCX+ immature neurons with increased β-catenin expression. Moreover, AAV-β-catenin gene therapy restored neuron stem cell proliferation and immature neuron differentiation, which further supports BCAS2-regulating adult neurogenesis via β-catenin. In addition, cells targeted by AAV-DJ8 injection into the hippocampus included Sox2 and DCX immature neurons, interneurons, and astrocytes. BCAS2 may regulate adult neurogenesis by targeting Sox2+ and DCX+ immature neurons for autocrine effects and interneurons or astrocytes for paracrine effects. Conclusions BCAS2 can regulate adult neurogenesis in mice via β-catenin. Supplementary Information The online version contains supplementary material available at 10.1186/s13287-022-02837-9.
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Affiliation(s)
- Hsin-Hsiung Chen
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, 7F, No1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan
| | - Hao-Yu Lu
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, 7F, No1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan
| | - Chao-Hsin Chang
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, 7F, No1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan
| | - Shih-Hao Lin
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, 7F, No1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan
| | - Chu-Wei Huang
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, 7F, No1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan
| | - Po-Han Wei
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, 7F, No1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan
| | - Yi-Wen Chen
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, 7F, No1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan
| | - Yi-Rou Lin
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, 7F, No1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan
| | - Hsien-Sung Huang
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, No. 1, Section 1, Jen Ai Road, Taipei 100, Taiwan
| | - Pei-Yu Wang
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, No. 1, Section 1, Jen Ai Road, Taipei 100, Taiwan
| | - Yeou-Ping Tsao
- Department of Ophthalmology, Mackay Memorial Hospital, No. 92, Sec. 2, Chung Shan North Road, Taipei 104, Taiwan
| | - Show-Li Chen
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, 7F, No1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan.
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Landínez-Macías M, Urwyler O. The Fine Art of Writing a Message: RNA Metabolism in the Shaping and Remodeling of the Nervous System. Front Mol Neurosci 2021; 14:755686. [PMID: 34916907 PMCID: PMC8670310 DOI: 10.3389/fnmol.2021.755686] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 10/18/2021] [Indexed: 01/25/2023] Open
Abstract
Neuronal morphogenesis, integration into circuits, and remodeling of synaptic connections occur in temporally and spatially defined steps. Accordingly, the expression of proteins and specific protein isoforms that contribute to these processes must be controlled quantitatively in time and space. A wide variety of post-transcriptional regulatory mechanisms, which act on pre-mRNA and mRNA molecules contribute to this control. They are thereby critically involved in physiological and pathophysiological nervous system development, function, and maintenance. Here, we review recent findings on how mRNA metabolism contributes to neuronal development, from neural stem cell maintenance to synapse specification, with a particular focus on axon growth, guidance, branching, and synapse formation. We emphasize the role of RNA-binding proteins, and highlight their emerging roles in the poorly understood molecular processes of RNA editing, alternative polyadenylation, and temporal control of splicing, while also discussing alternative splicing, RNA localization, and local translation. We illustrate with the example of the evolutionary conserved Musashi protein family how individual RNA-binding proteins are, on the one hand, acting in different processes of RNA metabolism, and, on the other hand, impacting multiple steps in neuronal development and circuit formation. Finally, we provide links to diseases that have been associated with the malfunction of RNA-binding proteins and disrupted post-transcriptional regulation.
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Affiliation(s)
- María Landínez-Macías
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.,Molecular Life Sciences Program, Life Science Zurich Graduate School, University of Zurich and Eidgenössische Technische Hochschule (ETH) Zurich, Zurich, Switzerland
| | - Olivier Urwyler
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.,Molecular Life Sciences Program, Life Science Zurich Graduate School, University of Zurich and Eidgenössische Technische Hochschule (ETH) Zurich, Zurich, Switzerland.,Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
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10
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Gangfuß A, Lochmüller H, Töpf A, O'Heir E, Horvath R, Kölbel H, Schweiger B, Schara-Schmidt U, Roos A. A de novo CSDE1 variant causing neurodevelopmental delay, intellectual disability, neurologic and psychiatric symptoms in a child of consanguineous parents. Am J Med Genet A 2021; 188:283-291. [PMID: 34519148 DOI: 10.1002/ajmg.a.62494] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 07/02/2021] [Accepted: 08/21/2021] [Indexed: 01/02/2023]
Abstract
CSDE1 encodes the cytoplasmic cold shock domain-containing protein E1 (CSDE1), which is highly conserved across species and functions as an RNA-binding protein involved in translationally coupled mRNA turnover. CSDE1 displays a bidirectional role: promoting and repressing the translation of RNAs but also increasing and decreasing the abundance of RNAs. Preclinical studies highlighted an involvement of CSDE1 in different forms of cancer. Moreover, CSDE1 is highly expressed in human embryonic stem cells and plays a role in neuronal migration and differentiation. A genome-wide association study suggested CSDE1 as a potential autism-spectrum disorder risk gene. A multicenter next generation sequencing approach unraveled likely causative heterozygous variants in CSDE1 in 18 patients, identifying a new autism spectrum disorder-related syndrome consisting of autism, intellectual disability, and neurodevelopmental delay. Since then, no further patients with CSDE1 variants have been reported in the literature. Here, we report a 9.5-year-old girl from a consanguineous family of Turkish origin suffering from profound delayed speech and motor development, moderate intellectual disability, neurologic and psychiatric symptoms as well as hypoplasia of corpus callosum and mildly reduced brain volume on brain magnetic resonance imaging associated with a recurrent de novo mutation in CSDE1 (c.367C > T; p.R123*) expanding the phenotypical spectrum associated with pathogenic CSDE1 variants.
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Affiliation(s)
- Andrea Gangfuß
- Department of Pediatric Neurology, Centre for Neuromuscular Disorders, Centre for Translational Neuro- and Behavioral Sciences, University Duisburg-Essen, Essen, Germany
| | - Hanns Lochmüller
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada.,Division of Neurology, Department of Medicine, The Ottawa Hospital, University of Ottawa, Ottawa, Canada.,Brain and Mind Research Institute, University of Ottawa, Ottawa, Canada.,Department of Neuropediatrics and Muscle Disorders, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany.,Centro Nacional de Análisis Genómico (CNAG-CRG), Center for Genomic Regulation, Barcelona Institute of Science and Technology (BIST), Barcelona, Catalonia, Spain
| | - Ana Töpf
- John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, New-castle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Emily O'Heir
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Rita Horvath
- Department of Clinical Neurosciences, John Van Geest Centre for Brain Repair, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Heike Kölbel
- Department of Pediatric Neurology, Centre for Neuromuscular Disorders, Centre for Translational Neuro- and Behavioral Sciences, University Duisburg-Essen, Essen, Germany
| | - Bernd Schweiger
- Department of Radiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Ulrike Schara-Schmidt
- Department of Pediatric Neurology, Centre for Neuromuscular Disorders, Centre for Translational Neuro- and Behavioral Sciences, University Duisburg-Essen, Essen, Germany
| | - Andreas Roos
- Department of Pediatric Neurology, Centre for Neuromuscular Disorders, Centre for Translational Neuro- and Behavioral Sciences, University Duisburg-Essen, Essen, Germany.,Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
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11
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Gill PS, Clothier JL, Veerapandiyan A, Dweep H, Porter-Gill PA, Schaefer GB. Molecular Dysregulation in Autism Spectrum Disorder. J Pers Med 2021; 11:848. [PMID: 34575625 PMCID: PMC8466026 DOI: 10.3390/jpm11090848] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/21/2021] [Accepted: 08/26/2021] [Indexed: 12/14/2022] Open
Abstract
Autism Spectrum Disorder (ASD) comprises a heterogeneous group of neurodevelopmental disorders with a strong heritable genetic component. At present, ASD is diagnosed solely by behavioral criteria. Advances in genomic analysis have contributed to numerous candidate genes for the risk of ASD, where rare mutations and s common variants contribute to its susceptibility. Moreover, studies show rare de novo variants, copy number variation and single nucleotide polymorphisms (SNPs) also impact neurodevelopment signaling. Exploration of rare and common variants involved in common dysregulated pathways can provide new diagnostic and therapeutic strategies for ASD. Contributions of current innovative molecular strategies to understand etiology of ASD will be explored which are focused on whole exome sequencing (WES), whole genome sequencing (WGS), microRNA, long non-coding RNAs and CRISPR/Cas9 models. Some promising areas of pharmacogenomic and endophenotype directed therapies as novel personalized treatment and prevention will be discussed.
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Affiliation(s)
- Pritmohinder S. Gill
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72202, USA;
- Arkansas Children’s Research Institute, 13 Children’s Way, Little Rock, AR 72202, USA;
| | - Jeffery L. Clothier
- Psychiatric Research Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
| | - Aravindhan Veerapandiyan
- Pediatric Neurology, Arkansas Children’s Hospital, 1 Children’s Way, Little Rock, AR 72202, USA;
| | - Harsh Dweep
- The Wistar Institute, 3601 Spruce St., Philadelphia, PA 19104, USA;
| | | | - G. Bradley Schaefer
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72202, USA;
- Genetics and Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72202, USA
- Arkansas Children’s Hospital NW, Springdale, AR 72762, USA
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12
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Biological implications of genetic variations in autism spectrum disorders from genomics studies. Biosci Rep 2021; 41:229227. [PMID: 34240107 PMCID: PMC8298259 DOI: 10.1042/bsr20210593] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 07/07/2021] [Accepted: 07/08/2021] [Indexed: 12/16/2022] Open
Abstract
Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental condition characterized by atypical social interaction and communication together with repetitive behaviors and restricted interests. The prevalence of ASD has been increased these years. Compelling evidence has shown that genetic factors contribute largely to the development of ASD. However, knowledge about its genetic etiology and pathogenesis is limited. Broad applications of genomics studies have revealed the importance of gene mutations at protein-coding regions as well as the interrupted non-coding regions in the development of ASD. In this review, we summarize the current evidence for the known molecular genetic basis and possible pathological mechanisms as well as the risk genes and loci of ASD. Functional studies for the underlying mechanisms are also implicated. The understanding of the genetics and genomics of ASD is important for the genetic diagnosis and intervention for this condition.
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13
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Fetit R, Hillary RF, Price DJ, Lawrie SM. The neuropathology of autism: A systematic review of post-mortem studies of autism and related disorders. Neurosci Biobehav Rev 2021; 129:35-62. [PMID: 34273379 DOI: 10.1016/j.neubiorev.2021.07.014] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 05/13/2021] [Accepted: 07/10/2021] [Indexed: 02/07/2023]
Abstract
Post-mortem studies allow for the direct investigation of brain tissue in those with autism and related disorders. Several review articles have focused on aspects of post-mortem abnormalities but none has brought together the entire post-mortem literature. Here, we systematically review the evidence from post-mortem studies of autism, and of related disorders that present with autistic features. The literature consists of a small body of studies with small sample sizes, but several remarkably consistent findings are evident. Cortical layering is largely undisturbed, but there are consistent reductions in minicolumn numbers and aberrant myelination. Transcriptomics repeatedly implicate abberant synaptic, metabolic, proliferation, apoptosis and immune pathways. Sufficient replicated evidence is available to implicate non-coding RNA, aberrant epigenetic profiles, GABAergic, glutamatergic and glial dysfunction in autism pathogenesis. Overall, the cerebellum and frontal cortex are most consistently implicated, sometimes revealing distinct region-specific alterations. The literature on related disorders such as Rett syndrome, Fragile X and copy number variations (CNVs) predisposing to autism is particularly small and inconclusive. Larger studies, matched for gender, developmental stage, co-morbidities and drug treatment are required.
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Affiliation(s)
- Rana Fetit
- Simons Initiative for the Developing Brain, University of Edinburgh, Hugh Robson Building, George Square, Edinburgh, EH8 9XD, UK.
| | - Robert F Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - David J Price
- Simons Initiative for the Developing Brain, University of Edinburgh, Hugh Robson Building, George Square, Edinburgh, EH8 9XD, UK
| | - Stephen M Lawrie
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH10 5HF, UK; Patrick Wild Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH10 5HF, UK
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14
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El Khouri E, Ghoumid J, Haye D, Giuliano F, Drevillon L, Briand-Suleau A, De La Grange P, Nau V, Gaillon T, Bienvenu T, Jacquemin-Sablon H, Goossens M, Amselem S, Giurgea I. Wnt/β-catenin pathway and cell adhesion deregulation in CSDE1-related intellectual disability and autism spectrum disorders. Mol Psychiatry 2021; 26:3572-3585. [PMID: 33867523 DOI: 10.1038/s41380-021-01072-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 03/08/2021] [Accepted: 03/19/2021] [Indexed: 12/26/2022]
Abstract
Among the genetic factors playing a key role in the etiology of intellectual disabilities (IDs) and autism spectrum disorders (ASDs), several encode RNA-binding proteins (RBPs). In this study, we deciphered the molecular and cellular bases of ID-ASD in a patient followed from birth to the age of 21, in whom we identified a de novo CSDE1 (Cold Shock Domain-containing E1) nonsense variation. CSDE1 encodes an RBP that regulates multiple cellular pathways by monitoring the translation and abundance of target transcripts. Analyses performed on the patient's primary fibroblasts showed that the identified CSDE1 variation leads to haploinsufficiency. We identified through RNA-seq assays the Wnt/β-catenin signaling and cellular adhesion as two major deregulated pathways. These results were further confirmed by functional studies involving Wnt-specific luciferase and substrate adhesion assays. Additional data support a disease model involving APC Down-Regulated-1 (APCDD1) and cadherin-2 (CDH2), two components of the Wnt/β-catenin pathway, CDH2 being also pivotal for cellular adhesion. Our study, which relies on both the deep phenotyping and long-term follow-up of a patient with CSDE1 haploinsufficiency and on ex vivo studies, sheds new light on the CSDE1-dependent deregulated pathways in ID-ASD.
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Affiliation(s)
- E El Khouri
- Sorbonne Université, INSERM, Maladies génétiques d'expression pédiatrique, Département de Génétique médicale, Assistance Publique Hôpitaux de Paris, Hôpital Trousseau, Paris, France
| | - J Ghoumid
- Département de Génétique, Groupe Hospitalier Henri Mondor, Créteil, France.,Service de Génétique Clinique, Hôpital Jeanne de Flandre, CHU Lille, Lille, France
| | - D Haye
- Service de Génétique Médicale Centre, Hospitalo-Universitaire de Nice, Nice, France
| | - F Giuliano
- Service de Génétique Médicale Centre, Hospitalo-Universitaire de Nice, Nice, France
| | - L Drevillon
- Département de Génétique, Groupe Hospitalier Henri Mondor, Créteil, France.,CHU Caen Normandie, Caen, France
| | - A Briand-Suleau
- Département de Génétique, Groupe Hospitalier Henri Mondor, Créteil, France.,Service de Génétique et Biologie Moléculaires, Hôpital Cochin, INSERM UMR1266 - Institute of Psychiatry and Neuroscience of Paris (IPNP) and University of Paris, Paris, France
| | | | - V Nau
- Sorbonne Université, INSERM, Maladies génétiques d'expression pédiatrique, Département de Génétique médicale, Assistance Publique Hôpitaux de Paris, Hôpital Trousseau, Paris, France
| | - T Gaillon
- Département de Génétique, Groupe Hospitalier Henri Mondor, Créteil, France
| | - T Bienvenu
- Service de Génétique et Biologie Moléculaires, Hôpital Cochin, INSERM UMR1266 - Institute of Psychiatry and Neuroscience of Paris (IPNP) and University of Paris, Paris, France
| | - H Jacquemin-Sablon
- INSERM UMR1053 Bordeaux Research in Translational Oncology, BaRITOn, Bordeaux, France
| | - M Goossens
- Département de Génétique, Groupe Hospitalier Henri Mondor, Créteil, France
| | - S Amselem
- Sorbonne Université, INSERM, Maladies génétiques d'expression pédiatrique, Département de Génétique médicale, Assistance Publique Hôpitaux de Paris, Hôpital Trousseau, Paris, France
| | - I Giurgea
- Sorbonne Université, INSERM, Maladies génétiques d'expression pédiatrique, Département de Génétique médicale, Assistance Publique Hôpitaux de Paris, Hôpital Trousseau, Paris, France. .,Département de Génétique, Groupe Hospitalier Henri Mondor, Créteil, France.
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15
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Choi L, An JY. Genetic architecture of autism spectrum disorder: Lessons from large-scale genomic studies. Neurosci Biobehav Rev 2021; 128:244-257. [PMID: 34166716 DOI: 10.1016/j.neubiorev.2021.06.028] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 06/17/2021] [Accepted: 06/17/2021] [Indexed: 12/20/2022]
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a strong genetic component. Recently developed genomic technologies, including microarray and next-generation sequencing (NGS), have enabled researchers to genetic analyses aimed at identifying genetic variations associated with ASD and to elucidate the genetic architecture of the disorder. Large-scale microarray, exome sequencing analyses, and robust statistical methods have resulted in successful gene discovery and identification of high-confidence ASD genes from among de novo and inherited variants. Efforts have been made to understand the genetic architecture of ASD using whole-genome sequencing and genome-wide association studies aimed at identifying noncoding mutations and common variants associated with ASD. In addition, the development of systems biology approaches has resulted in the integration of genetic findings with functional genomic datasets, thereby providing a unique insight into the functional convergence of ASD risk genes and their neurobiology. In this review, we summarize the latest findings of ASD genetic studies involving large cohorts and discuss their implications in ASD neurobiology and in clinical practice.
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Affiliation(s)
- Leejee Choi
- School of Biosystem and Biomedical Science, College of Health Science, Korea University, Seoul, 02841, Republic of Korea; Department of Integrated Biomedical and Life Science, Korea University, Seoul, 02841, Republic of Korea
| | - Joon-Yong An
- School of Biosystem and Biomedical Science, College of Health Science, Korea University, Seoul, 02841, Republic of Korea; Department of Integrated Biomedical and Life Science, Korea University, Seoul, 02841, Republic of Korea; Transdisciplinary Major in Learning Health Systems, Department of Healthcare Sciences, Graduate School, Korea University, Seoul, 02841, Republic of Korea; BK21FOUR R&E Center for Learning Health Systems, Korea University, Seoul, 02841, Republic of Korea.
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16
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Genetic risk factors for autism-spectrum disorders: a systematic review based on systematic reviews and meta-analysis. J Neural Transm (Vienna) 2021; 128:717-734. [PMID: 34115189 DOI: 10.1007/s00702-021-02360-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Accepted: 05/28/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND Based on recent evidence, more than 200 susceptibility genes have been identified to be associated with autism until now. Correspondingly, cytogenetic abnormalities have been reported for almost every chromosome. While the results of multiple genes associated with risk factors for autism are still incomplete, this paper systematically reviews published meta-analyses and systematic reviews of evidence related to autism occurrence. METHOD Literature search was conducted in the PubMed system, and the publication dates were limited between January 2000 and July 2020. We included a meta-analysis and systematic review that assessed the impact of related gene variants on the development of autism. After screening, this comprehensive literature search identified 31 meta-analyses and ten systematic reviews. We arranged the genes related to autism in the published studies according to the order of the chromosomes, and based on the results of a meta-analysis and systematic review, we selected 6 candidate genes related to ASD, namely MTHFR C677T, SLC25A12, OXTR, RELN, 5-HTTLPR, SHANK, including basic features and functions. In addition to these typical genes, we have also listed candidate genes that may exist on almost every chromosome that are related to autism. RESULTS We found that the results of several literature reviews included in this study showed that the MTHFR C667T variant was a risk factor for the occurrence of ASD, and the results were consistent. The results of studies on SLC25A12 variation (rs2056202 and rs2292813) and ASD risk were inconsistent but statistically significant. No association of 5-HTTLPR was found with autism, but when subgroup analysis was performed according to ethnicity, the association was statistically significant. RELN variants (rs362691 and rs736707) were consistent with ASD risk studies, but some of the results were not statistically significant. CONCLUSION This review summarized the well-known ASD candidate genes and listed some new genes that need further study in larger sample sets to improve our understanding of the genetic basis of ASD, but sample size and heterogeneity remain major limiting factors in some genome-wide association studies. We also found that common genetic variants in some genes may be co-risk factors for autism or other neuropsychiatric disorders when we collated these results. It is worth considering screening for these mutations in clinical applications.
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17
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Autism spectrum disorder and severe social impairment associated with elevated plasma interleukin-8. Pediatr Res 2021; 89:591-597. [PMID: 32330928 DOI: 10.1038/s41390-020-0910-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 11/15/2019] [Accepted: 11/23/2019] [Indexed: 12/16/2022]
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a neurodevelopmental disorder with an unclear etiology and pathophysiology. Previous studies have indicated that the dysregulation of cytokines may be involved in the pathogenesis of ASD and that the levels of cytokines may serve as potential biomarkers of this disorder. METHODS The current study employed a family triad-based case-control design to study the levels of plasma cytokines in families with ASD (n = 45 triads) and controls (n = 38 triads) with a Human Cytokine Twenty-Five-Plex Kit. The Social Responsiveness Scale (SRS) was used to measure social impairment of ASD children. RESULTS After controlling for the levels of parental cytokines, we identified that interferon-α (IFN-α), interleukin-7 (IL-7), IL-8, IFN-γ-inducible protein-10, and macrophage inflammatory protein-1β were associated with ASD, and IL-8 was the only cytokine also associated with the levels of both parental cytokines in the offspring-parents regression analysis and three subdomains of SRS (social awareness, cognition, and motivations) in the children with ASD. The receiver operating characteristic curve showed that the log-transformed IL-8 level discriminated children with autism from controls with an area under the curve of 0.858 (95% confidence interval: 0.777-0.939). CONCLUSIONS Our study suggests that IL-8 is a potential biomarker for ASD and may be involved in the pathogenesis of ASD. IMPACT The study suggests that IL-8 is a promising biomarker for ASD and may be involved in the pathogenesis of ASD. Only a very few studies have reported the parental cytokine levels. The significant strength of this article is that we applied the family triad-based approach to explore cytokine levels in families with autism and controls. There are no objective biomarkers, making the accurate diagnosis, prognostic prediction and effective treatment difficult, and our study provides promising results.
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18
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Genetic Variation and Autism: A Field Synopsis and Systematic Meta-Analysis. Brain Sci 2020; 10:brainsci10100692. [PMID: 33007889 PMCID: PMC7600188 DOI: 10.3390/brainsci10100692] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 09/13/2020] [Accepted: 09/14/2020] [Indexed: 12/16/2022] Open
Abstract
This study aimed to verify noteworthy findings between genetic risk factors and autism spectrum disorder (ASD) by employing the false positive report probability (FPRP) and the Bayesian false-discovery probability (BFDP). PubMed and the Genome-Wide Association Studies (GWAS) catalog were searched from inception to 1 August, 2019. We included meta-analyses on genetic factors of ASD of any study design. Overall, twenty-seven meta-analyses articles from literature searches, and four manually added articles from the GWAS catalog were re-analyzed. This showed that five of 31 comparisons for meta-analyses of observational studies, 40 out of 203 comparisons for the GWAS meta-analyses, and 18 out of 20 comparisons for the GWAS catalog, respectively, had noteworthy estimations under both Bayesian approaches. In this study, we found noteworthy genetic comparisons highly related to an increased risk of ASD. Multiple genetic comparisons were shown to be associated with ASD risk; however, genuine associations should be carefully verified and understood.
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19
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Qin Y, Kang J, Jiao Z, Wang Y, Wang J, Wang H, Feng J, Jin L, Wang F, Gong X. Polygenic risk for autism spectrum disorder affects left amygdala activity and negative emotion in schizophrenia. Transl Psychiatry 2020; 10:322. [PMID: 32958750 PMCID: PMC7506524 DOI: 10.1038/s41398-020-01001-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 09/02/2020] [Accepted: 09/07/2020] [Indexed: 12/27/2022] Open
Abstract
Although the diagnoses based on phenomenology have many practical advantages, accumulating evidence shows that schizophrenia and autism spectrum disorder (ASD) share some overlap in genetics and clinical presentation. It remains largely unknown how ASD-associated polygenetic risk contributes to the pathogenesis of schizophrenia. In the present study, we calculated high-resolution ASD polygenic risk scores (ASD PRSs) and selected optimal ten ASD PRS with minimal P values in the association analysis of PRSs, with schizophrenia to assess the effect of ASD PRS on brain neural activity in schizophrenia cases and controls. We found that amplitude of low-frequency fluctuation in left amygdala was positively associated with ASD PRSs in our cohort. Correlation analysis of ASD PRSs with facial emotion recognition test identified the negative correlation of ASD PRSs with negative emotions in schizophrenia cases and controls. Finally, functional enrichment analysis of PRS genes revealed that neural system function and development, as well as signal transduction, were mainly enriched in PRS genes. Our results provide empirical evidence that polygenic risk for ASD contributes to schizophrenia by the intermediate phenotypes of left amygdala function and emotion recognition. It provides a promising strategy to understand the relationship between phenotypes and genotypes shared in mental disorders.
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Affiliation(s)
- Yue Qin
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jujiao Kang
- grid.8547.e0000 0001 0125 2443Shanghai Center for Mathematical Science, Fudan University, Shanghai, China
| | - Zeyu Jiao
- grid.8547.e0000 0001 0125 2443Shanghai Center for Mathematical Science, Fudan University, Shanghai, China
| | - Yi Wang
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jiucun Wang
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Human Phoneme Institute, Fudan University, Shanghai, China
| | - Hongyan Wang
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Jianfeng Feng
- grid.8547.e0000 0001 0125 2443Shanghai Center for Mathematical Science, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China ,grid.7372.10000 0000 8809 1613Department of Computer Science, University of Warwick, Coventry, CV4 7AL UK
| | - Li Jin
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Fei Wang
- grid.412636.4Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Xiaohong Gong
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.
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20
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Hollmann NM, Jagtap PKA, Masiewicz P, Guitart T, Simon B, Provaznik J, Stein F, Haberkant P, Sweetapple LJ, Villacorta L, Mooijman D, Benes V, Savitski MM, Gebauer F, Hennig J. Pseudo-RNA-Binding Domains Mediate RNA Structure Specificity in Upstream of N-Ras. Cell Rep 2020; 32:107930. [PMID: 32697992 PMCID: PMC7383231 DOI: 10.1016/j.celrep.2020.107930] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 06/03/2020] [Accepted: 06/29/2020] [Indexed: 12/12/2022] Open
Abstract
RNA-binding proteins (RBPs) commonly feature multiple RNA-binding domains (RBDs), which provide these proteins with a modular architecture. Accumulating evidence supports that RBP architectural modularity and adaptability define the specificity of their interactions with RNA. However, how multiple RBDs recognize their cognate single-stranded RNA (ssRNA) sequences in concert remains poorly understood. Here, we use Upstream of N-Ras (Unr) as a model system to address this question. Although reported to contain five ssRNA-binding cold-shock domains (CSDs), we demonstrate that Unr includes an additional four CSDs that do not bind RNA (pseudo-RBDs) but are involved in mediating RNA tertiary structure specificity by reducing the conformational heterogeneity of Unr. Disrupting the interactions between canonical and non-canonical CSDs impacts RNA binding, Unr-mediated translation regulation, and the Unr-dependent RNA interactome. Taken together, our studies reveal a new paradigm in protein-RNA recognition, where interactions between RBDs and pseudo-RBDs select RNA tertiary structures, influence RNP assembly, and define target specificity.
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Affiliation(s)
- Nele Merret Hollmann
- Structural and Computational Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany; Collaboration for Joint PhD Degree between EMBL and Heidelberg University, Faculty of Biosciences, Heidelberg, Germany
| | | | - Pawel Masiewicz
- Structural and Computational Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Tanit Guitart
- Gene Regulation, Stem Cells and Cancer Programme, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08003 Barcelona, Spain
| | - Bernd Simon
- Structural and Computational Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Jan Provaznik
- Genomics Core Facility, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Frank Stein
- Proteomics Core Facility, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Per Haberkant
- Proteomics Core Facility, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Lara Jayne Sweetapple
- Structural and Computational Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Laura Villacorta
- Genomics Core Facility, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Dylan Mooijman
- Developmental Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Vladimir Benes
- Genomics Core Facility, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Mikhail M Savitski
- Proteomics Core Facility, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany; Genome Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Fátima Gebauer
- Gene Regulation, Stem Cells and Cancer Programme, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
| | - Janosch Hennig
- Structural and Computational Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany.
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21
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Zheng Y. Child psychiatry in China: Present situation and future prospects. Pediatr Investig 2020; 4:79-83. [PMID: 32851349 PMCID: PMC7331402 DOI: 10.1002/ped4.12196] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 04/02/2020] [Indexed: 11/12/2022] Open
Affiliation(s)
- Yi Zheng
- Department of Child PsychiatryBeijing Anding HospitalCapital Medical University; The National Clinical Research Center for Mental DisordersBeijing Key Laboratory of Mental DisordersBeijing Institute for Brain DisordersBeijingChina
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22
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Xie X, Meng H, Wu H, Hou F, Chen Y, Zhou Y, Xue Q, Zhang J, Gong J, Li L, Song R. Integrative analyses indicate an association between ITIH3 polymorphisms with autism spectrum disorder. Sci Rep 2020; 10:5223. [PMID: 32251353 PMCID: PMC7089985 DOI: 10.1038/s41598-020-62189-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 02/24/2020] [Indexed: 12/18/2022] Open
Abstract
It is challenge to pinpoint the functional variants among numerous genetic variants. Investigating the spatial dynamics of the human brain transcriptome for genes and exploring the expression quantitative trait loci data may provide the potential direction to identify the functional variants among autism spectrum disorders (ASD) patients. In order to explore the association of ITIH3 with ASD, the present study included three components: identifying the spatial-temporal expression of ITIH3 in the developing human brain using the expression data from the Allen Institute for Brain Science; examining the cis-acting regulatory effect of SNPs on the ITIH3 expression using UK Brain Expression Consortium database; validating the effect of identified SNPs using a case-control study with samples of 602 cases and 604 controls. The public expression data showed that ITIH3 may have a role in the development of human brain and suggested a cis-eQTL effect for rs2535629 and rs3617 on ITIH3 in the hippocampus. Genetic analysis of the above two SNPs suggested that the over-dominant model of rs2535629 was significantly associated with decreased risk of ASD. Convergent lines of evidence supported ITIH3 rs25352629 as a susceptibility variant for ASD.
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Affiliation(s)
- Xinyan Xie
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Heng Meng
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Hao Wu
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Fang Hou
- Maternity and Children Health Care Hospital of Luohu District, Shenzhen, 518019, China
| | - Yanlin Chen
- Maternity and Children Health Care Hospital of Luohu District, Shenzhen, 518019, China
| | - Yu Zhou
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Qi Xue
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jiajia Zhang
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA
| | - Jianhua Gong
- Maternity and Children Health Care Hospital of Luohu District, Shenzhen, 518019, China
| | - Li Li
- Maternity and Children Health Care Hospital of Luohu District, Shenzhen, 518019, China.
| | - Ranran Song
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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23
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Guo AX, Cui JJ, Wang LY, Yin JY. The role of CSDE1 in translational reprogramming and human diseases. Cell Commun Signal 2020; 18:14. [PMID: 31987048 PMCID: PMC6986143 DOI: 10.1186/s12964-019-0496-2] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 12/16/2019] [Indexed: 02/06/2023] Open
Abstract
Abstract CSDE1 (cold shock domain containing E1) plays a key role in translational reprogramming, which determines the fate of a number of RNAs during biological processes. Interestingly, the role of CSDE1 is bidirectional. It not only promotes and represses the translation of RNAs but also increases and decreases the abundance of RNAs. However, the mechanisms underlying this phenomenon are still unknown. In this review, we propose a “protein-RNA connector” model to explain this bidirectional role and depict its three versions: sequential connection, mutual connection and facilitating connection. As described in this molecular model, CSDE1 binds to RNAs and cooperates with other protein regulators. CSDE1 connects with different RNAs and their regulators for different purposes. The triple complex of CSDE1, a regulator and an RNA reprograms translation in different directions for each transcript. Meanwhile, a number of recent studies have found important roles for CSDE1 in human diseases. This model will help us to understand the role of CSDE1 in translational reprogramming and human diseases. Video Abstract
Graphical abstract ![]()
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Affiliation(s)
- Ao-Xiang Guo
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, People's Republic of China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, People's Republic of China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, People's Republic of China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, People's Republic of China
| | - Jia-Jia Cui
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, People's Republic of China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, People's Republic of China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, People's Republic of China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, People's Republic of China
| | - Lei-Yun Wang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, People's Republic of China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, People's Republic of China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, People's Republic of China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, People's Republic of China
| | - Ji-Ye Yin
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, People's Republic of China. .,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, People's Republic of China. .,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, People's Republic of China. .,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, People's Republic of China. .,Hunan Provincial Gynecological Cancer Diagnosis and Treatment Engineering Research Center, Changsha, 410078, People's Republic of China. .,Hunan Key Laboratory of Precise Diagnosis and Treatment of Gastrointestinal Tumor, Changsha, 410078, People's Republic of China.
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24
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New Horizons for Molecular Genetics Diagnostic and Research in Autism Spectrum Disorder. ADVANCES IN NEUROBIOLOGY 2020; 24:43-81. [PMID: 32006356 DOI: 10.1007/978-3-030-30402-7_2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Autism spectrum disorder (ASD) is a highly heritable, heterogeneous, and complex pervasive neurodevelopmental disorder (PND) characterized by distinctive abnormalities of human cognitive functions, social interaction, and speech development.Nowadays, several genetic changes including chromosome abnormalities, genetic variations, transcriptional epigenetics, and noncoding RNA have been identified in ASD. However, the association between these genetic modifications and ASDs has not been confirmed yet.The aim of this review is to summarize the key findings in ASD from genetic viewpoint that have been identified from the last few decades of genetic and molecular research.
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25
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Xia L, Ou J, Li K, Guo H, Hu Z, Bai T, Zhao J, Xia K, Zhang F. Genome-wide association analysis of autism identified multiple loci that have been reported as strong signals for neuropsychiatric disorders. Autism Res 2019; 13:382-396. [PMID: 31647196 DOI: 10.1002/aur.2229] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 09/17/2019] [Accepted: 09/22/2019] [Indexed: 12/13/2022]
Abstract
Autism is a common neurodevelopmental disorder with a moderate to a high degree of heritability, but only a few common genetic variants that explain the heritability have been associated. We performed a genome-wide transmission disequilibrium test analysis of a newly genotyped autism case-parent triad samples (127 trios) in Han Chinese, identified top association signals at multiple single nucleotide polymorphisms (SNPs), including rs9839376 (OR = 2.59, P = 1.27 × 10-05 ) at KCNMB2, rs6044680 (OR = 0.319, P = 4.82 × 10-05 ) and rs7274133 (OR = 0.313, P = 3.22 × 10-05 ) at PCSK2, and rs310619 (OR = 2.40, P = 7.44 × 10-05 ) at EEF1A2. Furthermore, a genome-wide combined P-value of individual SNPs in two independent case-parent triad samples (total 402 triads, n = 1,206) identified SNPs at EGFLAM, ZDHHC2, AGBL1, and SNX29 as additional association signals for autism. While none of these signals achieved a genome-wide significance in the two samples of our study, they have been reported in a previous genome-wide association study of neuropsychiatric disorders, and the majority of these SNP have a significant cis-regulatory association with mRNA in human tissues (false discovery rate (FDR) < 0.05). Our study warrants further study or replication with additional sample for association with autism and other neuropsychiatric disorders. Autism Res 2020, 13: 382-396. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Autism is a common neurodevelopmental disorder, heritable, but only a few common genetic variants that explain the heritability have been associated. We conducted a genome-wide association study with two cohorts of autism case-parent triad samples in Han Chinese and identified multiple single nucleotide polymorphisms that were reported as strong association signals in a previous genome-wide association study of other neuropsychiatric disorders or related traits. Our study provides evidence for shared genetic variants among autism and other neuropsychiatric disorders.
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Affiliation(s)
- Lu Xia
- Center for Medical Genetics and Hunan Provincial Key Laboratory for Medical Genetics, School of Life Sciences, Central South University, Changsha, China
| | - Jianjun Ou
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Kuokuo Li
- Center for Medical Genetics and Hunan Provincial Key Laboratory for Medical Genetics, School of Life Sciences, Central South University, Changsha, China
| | - Hui Guo
- Center for Medical Genetics and Hunan Provincial Key Laboratory for Medical Genetics, School of Life Sciences, Central South University, Changsha, China
| | - Zhengmao Hu
- Center for Medical Genetics and Hunan Provincial Key Laboratory for Medical Genetics, School of Life Sciences, Central South University, Changsha, China
| | - Ting Bai
- Center for Medical Genetics and Hunan Provincial Key Laboratory for Medical Genetics, School of Life Sciences, Central South University, Changsha, China
| | - Jingping Zhao
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Kun Xia
- Center for Medical Genetics and Hunan Provincial Key Laboratory for Medical Genetics, School of Life Sciences, Central South University, Changsha, China.,CAS Center for Excellence in Brain Science and Intelligences Technology (CEBSIT), Shanghai, China.,Key Laboratory of Medical Information Research, Central South University, Changsha, Hunan, China
| | - Fengyu Zhang
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China.,Global Clinical and Translational Research Institute, Bethesda, Maryland.,Peking University Huilongguan Clinical Medical School and Beijing Huilongguan Hospital, Beijing, China
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26
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Psychiatric Genetics, Epigenetics, and Cellular Models in Coming Years. JOURNAL OF PSYCHIATRY AND BRAIN SCIENCE 2019; 4. [PMID: 31608310 PMCID: PMC6788748 DOI: 10.20900/jpbs.20190012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Psychiatric genetic studies have uncovered hundreds of loci associated with various psychiatric disorders. We take the opportunity to review achievements in the past and provide our view of what is coming in the fields of molecular genetics, epigenetics, and cellular models. We expect that SNP-array and sequencing-based studies of genetic associations will continue to expand, covering more disorders, drug responses, phenotypes, and diverse populations. Epigenetic studies of psychiatric disorders will be another promising field with the growing recognition that environmental factors impact the risk for psychiatric disorders by modulating epigenetic factors. Functional studies of genetic findings will be needed in cellular models to provide important connections between genetic and epigenetic variants and biological phenotypes.
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27
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Guo H, Li Y, Shen L, Wang T, Jia X, Liu L, Xu T, Ou M, Hoekzema K, Wu H, Gillentine MA, Liu C, Ni H, Peng P, Zhao R, Zhang Y, Phornphutkul C, Stegmann APA, Prada CE, Hopkin RJ, Shieh JT, McWalter K, Monaghan KG, van Hasselt PM, van Gassen K, Bai T, Long M, Han L, Quan Y, Chen M, Zhang Y, Li K, Zhang Q, Tan J, Zhu T, Liu Y, Pang N, Peng J, Scott DA, Lalani SR, Azamian M, Mancini GMS, Adams DJ, Kvarnung M, Lindstrand A, Nordgren A, Pevsner J, Osei-Owusu IA, Romano C, Calabrese G, Galesi O, Gecz J, Haan E, Ranells J, Racobaldo M, Nordenskjold M, Madan-Khetarpal S, Sebastian J, Ball S, Zou X, Zhao J, Hu Z, Xia F, Liu P, Rosenfeld JA, de Vries BBA, Bernier RA, Xu ZQD, Li H, Xie W, Hufnagel RB, Eichler EE, Xia K. Disruptive variants of CSDE1 associate with autism and interfere with neuronal development and synaptic transmission. SCIENCE ADVANCES 2019; 5:eaax2166. [PMID: 31579823 PMCID: PMC6760934 DOI: 10.1126/sciadv.aax2166] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 08/27/2019] [Indexed: 05/30/2023]
Abstract
RNA binding proteins are key players in posttranscriptional regulation and have been implicated in neurodevelopmental and neuropsychiatric disorders. Here, we report a significant burden of heterozygous, likely gene-disrupting variants in CSDE1 (encoding a highly constrained RNA binding protein) among patients with autism and related neurodevelopmental disabilities. Analysis of 17 patients identifies common phenotypes including autism, intellectual disability, language and motor delay, seizures, macrocephaly, and variable ocular abnormalities. HITS-CLIP revealed that Csde1-binding targets are enriched in autism-associated gene sets, especially FMRP targets, and in neuronal development and synaptic plasticity-related pathways. Csde1 knockdown in primary mouse cortical neurons leads to an overgrowth of the neurites and abnormal dendritic spine morphology/synapse formation and impaired synaptic transmission, whereas mutant and knockdown experiments in Drosophila result in defects in synapse growth and synaptic transmission. Our study defines a new autism-related syndrome and highlights the functional role of CSDE1 in synapse development and synaptic transmission.
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Affiliation(s)
- Hui Guo
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Ying Li
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Lu Shen
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Tianyun Wang
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Xiangbin Jia
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Lijuan Liu
- Institute of Life Sciences, Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu, China
| | - Tao Xu
- Department of Neurobiology, Beijing Key Laboratory of Neural Regeneration and Repair, Beijing Laboratory of Brain Disorders (Ministry of Science and Technology), Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Mengzhu Ou
- Institute of Life Sciences, Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu, China
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Huidan Wu
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Madelyn A. Gillentine
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Cenying Liu
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Hailun Ni
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Pengwei Peng
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Rongjuan Zhao
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Yu Zhang
- Key Laboratory of Developmental Disorders in Children, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, Guangxi, China
| | - Chanika Phornphutkul
- Division of Human Genetics, Warren Alpert Medical School of Brown University, Hasbro Children's Hospital/Rhode Island Hospital, Providence, RI, USA
| | | | - Carlos E. Prada
- Department of Pediatrics, University of Cincinnati College of Medicine, Division of Human Genetics, Cincinnati Children’s Hospital, Cincinnati, OH, USA
| | - Robert J. Hopkin
- Department of Pediatrics, University of Cincinnati College of Medicine, Division of Human Genetics, Cincinnati Children’s Hospital, Cincinnati, OH, USA
| | - Joseph T. Shieh
- Institute for Human Genetics and Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | | | | | | | | | - Ting Bai
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Min Long
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Lin Han
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Yingting Quan
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Meilin Chen
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Yaowen Zhang
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Kuokuo Li
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Qiumeng Zhang
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Jieqiong Tan
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Tengfei Zhu
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Yaning Liu
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Nan Pang
- Department of Pediatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Jing Peng
- Department of Pediatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Daryl A. Scott
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, USA
| | - Seema R. Lalani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Mahshid Azamian
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Grazia M. S. Mancini
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Darius J. Adams
- Goryeb Children’s Hospital, Atlantic Health System, Morristown, NJ, USA
| | - Malin Kvarnung
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Anna Lindstrand
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Ann Nordgren
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Jonathan Pevsner
- Department of Neurology, Kennedy Krieger Institute, Baltimore, MD, USA
- Program in Human Genetics, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Ikeoluwa A. Osei-Owusu
- Department of Neurology, Kennedy Krieger Institute, Baltimore, MD, USA
- Program in Human Genetics, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | | | | | | | - Jozef Gecz
- School of Medicine and the Robinson Research Institute, University of Adelaide at the Women’s and Children’s Hospital, Adelaide, South Australia, Australia
| | - Eric Haan
- Adult Genetics Unit, Royal Adelaide Hospital, and School of Medicine, University of Adelaide, Adelaide, South Australia, Australia
| | - Judith Ranells
- Department of Pediatrics, University of South Florida, Tampa, FL, USA
| | - Melissa Racobaldo
- Department of Pediatrics, University of South Florida, Tampa, FL, USA
| | - Magnus Nordenskjold
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Suneeta Madan-Khetarpal
- Division of Medical Genetics, Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA
| | - Jessica Sebastian
- Division of Medical Genetics, Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA
| | - Susie Ball
- Central Washington Genetics Program, Virginia Mason Memorial, Yakima, WA, USA
| | - Xiaobing Zou
- Children Development Behavior Center of the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Jingping Zhao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhengmao Hu
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Fan Xia
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Baylor Genetics, Houston, TX, USA
| | - Pengfei Liu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Baylor Genetics, Houston, TX, USA
| | - Jill A. Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Bert B. A. de Vries
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Zhi-Qing David Xu
- Department of Neurobiology, Beijing Key Laboratory of Neural Regeneration and Repair, Beijing Laboratory of Brain Disorders (Ministry of Science and Technology), Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Honghui Li
- Key Laboratory of Developmental Disorders in Children, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, Guangxi, China
| | - Wei Xie
- Institute of Life Sciences, Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu, China
| | - Robert B. Hufnagel
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, NIH, Bethesda, MD, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Kun Xia
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Key Laboratory of Medical Information Research, Central South University, Changsha, Hunan, China
- CAS Center for Excellence in Brain Science and Intelligences Technology (CEBSIT), Chinese Academy of Sciences, Shanghai 200030, China
- Hunan Key Laboratory of Animal Models for Human Diseases, Central South University, Changsha, Hunan 410078, China
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28
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Sun Y, Yao X, March ME, Meng X, Li J, Wei Z, Sleiman PMA, Hakonarson H, Xia Q, Li J. Target Genes of Autism Risk Loci in Brain Frontal Cortex. Front Genet 2019; 10:707. [PMID: 31447881 PMCID: PMC6696877 DOI: 10.3389/fgene.2019.00707] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 07/04/2019] [Indexed: 12/12/2022] Open
Abstract
Autism spectrum disorder (ASD) is a complex neuropsychiatric disorder. A number of genetic risk loci have been identified for ASD from genome-wide association studies (GWAS); however, their target genes in relevant tissues and cell types remain to be investigated. The frontal cortex is a key region in the human brain for communication and cognitive function. To identify risk genes contributing to potential dysfunction in the frontal cortex of ASD patients, we took an in silico approach integrating multi-omics data. We first found genes with expression in frontal cortex tissue that correlates with ASD risk loci by leveraging expression quantitative trait loci (eQTLs) information. Among these genes, we then identified 76 genes showing significant differential expression in the frontal cortex between ASD cases and controls in microarray datasets and further replicated four genes with RNA-seq data. Among the ASD GWAS single nucleotide polymorphisms (SNPs) correlating with the 76 genes, 20 overlap with histone marks and 40 are associated with gene methylation level. Thus, through multi-omics data analyses, we identified genes that may work as target genes of ASD risk loci in the brain frontal cortex.
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Affiliation(s)
- Yan Sun
- Department of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China
| | - Xueming Yao
- Department of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China
| | - Michael E March
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Xinyi Meng
- Department of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China
| | - Junyi Li
- Department of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China
| | - Zhi Wei
- College of Computing Sciences, New Jersey Institute of Technology, University Heights, Newark, NJ, United States
| | - Patrick M A Sleiman
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, PA, United States
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, PA, United States
| | - Qianghua Xia
- Department of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China
| | - Jin Li
- Department of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China
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Zhu X, Suk HI, Shen D. Group sparse reduced rank regression for neuroimaging genetic study. WORLD WIDE WEB 2019; 22:673-688. [PMID: 31607788 PMCID: PMC6788769 DOI: 10.1007/s11280-018-0637-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 07/19/2018] [Accepted: 09/07/2018] [Indexed: 06/10/2023]
Abstract
The neuroimaging genetic study usually needs to deal with high dimensionality of both brain imaging data and genetic data, so that often resulting in the issue of curse of dimensionality. In this paper, we propose a group sparse reduced rank regression model to take the relations of both the phenotypes and the genotypes for the neuroimaging genetic study. Specifically, we propose designing a graph sparsity constraint as well as a reduced rank constraint to simultaneously conduct subspace learning and feature selection. The group sparsity constraint conducts feature selection to identify genotypes highly related to neuroimaging data, while the reduced rank constraint considers the relations among neuroimaging data to conduct subspace learning in the feature selection model. Furthermore, an alternative optimization algorithm is proposed to solve the resulting objective function and is proved to achieve fast convergence. Experimental results on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset showed that the proposed method has superiority on predicting the phenotype data by the genotype data, than the alternative methods under comparison.
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Affiliation(s)
- Xiaofeng Zhu
- Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin 541004, Guangxi, People’s Republic of China
- Institute of Natural and Mathematical Sciences, Massey University, Auckland 0745, New Zealand
- BRIC Center of the University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Heung-Il Suk
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea
| | - Dinggang Shen
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea
- BRIC Center of the University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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30
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Que J, Lu L, Shi L. Development and challenges of mental health in China. Gen Psychiatr 2019; 32:e100053. [PMID: 31179426 PMCID: PMC6551437 DOI: 10.1136/gpsych-2019-100053] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 01/20/2019] [Indexed: 02/07/2023] Open
Affiliation(s)
- Jianyu Que
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Le Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
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31
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Mehta D, Czamara D. GWAS of Behavioral Traits. Curr Top Behav Neurosci 2019; 42:1-34. [PMID: 31407241 DOI: 10.1007/7854_2019_105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Over the past decade, genome-wide association studies (GWAS) have evolved into a powerful tool to investigate genetic risk factors for human diseases via a hypothesis-free scan of the genome. The success of GWAS for psychiatric disorders and behavioral traits have been somewhat mixed, partly owing to the complexity and heterogeneity of these traits. Significant progress has been made in the last few years in the development and implementation of complex statistical methods and algorithms incorporating GWAS. Such advanced statistical methods applied to GWAS hits in combination with incorporation of different layers of genomics data have catapulted the search for novel genes for behavioral traits and improved our understanding of the complex polygenic architecture of these traits.This chapter will give a brief overview on GWAS and statistical methods currently used in GWAS. The chapter will focus on reviewing the current literature and highlight some of the most important GWAS on psychiatric and other behavioral traits and will conclude with a discussion on future directions.
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Affiliation(s)
- Divya Mehta
- School of Psychology and Counselling, Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia.
| | - Darina Czamara
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
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32
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Abstract
Tourette syndrome (TS) is a complex disorder characterized by repetitive, sudden, and involuntary movements or vocalizations, called tics. Tics usually appear in childhood, and their severity varies over time. In addition to frequent tics, people with TS are at risk for associated problems including attention deficit hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), anxiety, depression, and problems with sleep. TS occurs in most populations and ethnic groups worldwide, and it is more common in males than in females. Previous family and twin studies have shown that the majority of cases of TS are inherited. TS was previously thought to have an autosomal dominant pattern of inheritance. However, several decades of research have shown that this is unlikely the case. Instead, TS most likely results from a variety of genetic and environmental factors, not changes in a single gene. In the past decade, there has been a rapid development of innovative genetic technologies and methodologies, as well as significant progress in genetic studies of psychiatric disorders. In this review, we will briefly summarize previous genetic epidemiological studies of TS and related disorders. We will also review previous genetic studies based on genome-wide linkage analyses and candidate gene association studies to comment on problems of previous methodological and strategic issues. Our main purpose for this review will be to summarize the new genetic discoveries of TS based on novel genetic methods and strategies, such as genome-wide association studies (GWASs), whole exome sequencing (WES), and whole genome sequencing (WGS). We will also compare the new genetic discoveries of TS with other major psychiatric disorders in order to understand the current status of TS genetics and its relationship with other psychiatric disorders.
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33
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In Silico Analysis of Synaptonemal Complex Protein 1 (SYCP1) and Acrosin Binding Protein (ACRBP) Antigens to Design Novel Multiepitope Peptide Cancer Vaccine Against Breast Cancer. Int J Pept Res Ther 2018. [DOI: 10.1007/s10989-018-9780-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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34
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Bryzgalov LO, Korbolina EE, Brusentsov II, Leberfarb EY, Bondar NP, Merkulova TI. Novel functional variants at the GWAS-implicated loci might confer risk to major depressive disorder, bipolar affective disorder and schizophrenia. BMC Neurosci 2018; 19:22. [PMID: 29745862 PMCID: PMC5998904 DOI: 10.1186/s12868-018-0414-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND A challenge of understanding the mechanisms underlying cognition including neurodevelopmental and neuropsychiatric disorders is mainly given by the potential severity of cognitive disorders for the quality of life and their prevalence. However, the field has been focused predominantly on protein coding variation until recently. Given the importance of tightly controlled gene expression for normal brain function, the goal of the study was to assess the functional variation including non-coding variation in human genome that is likely to play an important role in cognitive functions. To this end, we organized and utilized available genome-wide datasets from genomic, transcriptomic and association studies into a comprehensive data corpus. We focused on genomic regions that are enriched in regulatory activity-overlapping transcriptional factor binding regions and repurpose our data collection especially for identification of the regulatory SNPs (rSNPs) that showed associations both with allele-specific binding and allele-specific expression. We matched these rSNPs to the nearby and distant targeted genes and then selected the variants that could implicate the etiology of cognitive disorders according to Genome-Wide Association Studies (GWAS). Next, we use DeSeq 2.0 package to test the differences in the expression of the certain targeted genes between the controls and the patients that were diagnosed bipolar affective disorder and schizophrenia. Finally, we assess the potential biological role for identified drivers of cognition using DAVID and GeneMANIA. RESULTS As a result, we selected fourteen regulatory SNPs locating within the loci, implicated from GWAS for cognitive disorders with six of the variants unreported previously. Grouping of the targeted genes according to biological functions revealed the involvement of processes such as 'posttranscriptional regulation of gene expression', 'neuron differentiation', 'neuron projection development', 'regulation of cell cycle process' and 'protein catabolic processes'. We identified four rSNP-targeted genes that showed differential expression between patient and control groups depending on brain region: NRAS-in schizophrenia cohort, CDC25B, DDX21 and NUCKS1-in bipolar disorder cohort. CONCLUSIONS Overall, our findings are likely to provide the keys for unraveling the mechanisms that underlie cognitive functions including major depressive disorder, bipolar disorder and schizophrenia etiopathogenesis.
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Affiliation(s)
- Leonid O. Bryzgalov
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Science, 10 Lavrentyeva Prospekt, Novosibirsk, Russian Federation 630090
| | - Elena E. Korbolina
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Science, 10 Lavrentyeva Prospekt, Novosibirsk, Russian Federation 630090
- The Novosibirsk State University, 1 Pirogova st., Novosibirsk, Russian Federation 630090
| | - Ilja I. Brusentsov
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Science, 10 Lavrentyeva Prospekt, Novosibirsk, Russian Federation 630090
| | - Elena Y. Leberfarb
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Science, 10 Lavrentyeva Prospekt, Novosibirsk, Russian Federation 630090
| | - Natalia P. Bondar
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Science, 10 Lavrentyeva Prospekt, Novosibirsk, Russian Federation 630090
- The Novosibirsk State University, 1 Pirogova st., Novosibirsk, Russian Federation 630090
| | - Tatiana I. Merkulova
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Science, 10 Lavrentyeva Prospekt, Novosibirsk, Russian Federation 630090
- The Novosibirsk State University, 1 Pirogova st., Novosibirsk, Russian Federation 630090
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35
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Johnson SC. Nutrient Sensing, Signaling and Ageing: The Role of IGF-1 and mTOR in Ageing and Age-Related Disease. Subcell Biochem 2018; 90:49-97. [PMID: 30779006 DOI: 10.1007/978-981-13-2835-0_3] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Nutrient signaling through insulin/IGF-1 was the first pathway demonstrated to regulate ageing and age-related disease in model organisms. Pharmacological or dietary interventions targeting nutrient signaling pathways have been shown to robustly attenuate ageing in many organisms. Caloric restriction, the most widely studied longevity promoting intervention, works through multiple nutrient signaling pathways, while inhibition of mTOR through treatment with rapamycin reproducibly delays ageing and disease through specific inhibition of the mTOR complexes. Although the benefits of reduced insulin/IGF-1 in lifespan and health are well documented in model organisms, defining the precise role of the IGF-1 in human ageing and age-related disease has proven more difficult. Association studies provide some insight but also reveal paradoxes. Low serum IGF-1 predicts longevity, but IGF-1 decreases with age and IGF-1 therapy benefits some of age-related pathologies. Circulating IGF-1 has been associated both positively and negatively with risk of age-related diseases in humans, and in some cases both activation and inhibition of IGF-1 signaling have provided benefit in animal models of the same diseases. Interventions designed modulate the nutrient sensing signaling pathways positively or negatively are already available for clinical use, highlighting the need for a clear understanding of the role of nutrient signaling in ageing and age-related disease. This chapter examines data from model organisms and human genetic association studies, with a special emphasis on IGF-1 and mTOR, and discusses potential models for resolving the paradoxes surrounding IGF-1 data.
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Affiliation(s)
- Simon C Johnson
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA, USA.
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36
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Excessive UBE3A dosage impairs retinoic acid signaling and synaptic plasticity in autism spectrum disorders. Cell Res 2017; 28:48-68. [PMID: 29076503 DOI: 10.1038/cr.2017.132] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 07/27/2017] [Accepted: 08/21/2017] [Indexed: 01/27/2023] Open
Abstract
The autism spectrum disorders (ASDs) are a collection of human neurological disorders with heterogeneous etiologies. Hyperactivity of E3 ubiquitin (Ub) ligase UBE3A, stemming from 15q11-q13 copy number variations, accounts for 1%-3% of ASD cases worldwide, but the underlying mechanisms remain incompletely characterized. Here we report that the functionality of ALDH1A2, the rate-limiting enzyme of retinoic acid (RA) synthesis, is negatively regulated by UBE3A in a ubiquitylation-dependent manner. Excessive UBE3A dosage was found to impair RA-mediated neuronal homeostatic synaptic plasticity. ASD-like symptoms were recapitulated in mice by overexpressing UBE3A in the prefrontal cortex or by administration of an ALDH1A antagonist, whereas RA supplements significantly alleviated excessive UBE3A dosage-induced ASD-like phenotypes. By identifying reduced RA signaling as an underlying mechanism in ASD phenotypes linked to UBE3A hyperactivities, our findings introduce a new vista of ASD etiology and facilitate a mode of therapeutic development against this increasingly prevalent disease.
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37
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Qi Y, Zheng Y, Li Z, Xiong L. Progress in Genetic Studies of Tourette's Syndrome. Brain Sci 2017; 7:E134. [PMID: 29053637 PMCID: PMC5664061 DOI: 10.3390/brainsci7100134] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 10/03/2017] [Accepted: 10/17/2017] [Indexed: 12/23/2022] Open
Abstract
Tourette's Syndrome (TS) is a complex disorder characterized by repetitive, sudden, and involuntary movements or vocalizations, called tics. Tics usually appear in childhood, and their severity varies over time. In addition to frequent tics, people with TS are at risk for associated problems including attention deficit hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), anxiety, depression, and problems with sleep. TS occurs in most populations and ethnic groups worldwide, and it is more common in males than in females. Previous family and twin studies have shown that the majority of cases of TS are inherited. TS was previously thought to have an autosomal dominant pattern of inheritance. However, several decades of research have shown that this is unlikely the case. Instead TS most likely results from a variety of genetic and environmental factors, not changes in a single gene. In the past decade, there has been a rapid development of innovative genetic technologies and methodologies, as well as significant progresses in genetic studies of psychiatric disorders. In this review, we will briefly summarize previous genetic epidemiological studies of TS and related disorders. We will also review previous genetic studies based on genome-wide linkage analyses and candidate gene association studies to comment on problems of previous methodological and strategic issues. Our main purpose for this review will be to summarize the new genetic discoveries of TS based on novel genetic methods and strategies, such as genome-wide association studies (GWASs), whole exome sequencing (WES) and whole genome sequencing (WGS). We will also compare the new genetic discoveries of TS with other major psychiatric disorders in order to understand the current status of TS genetics and its relationship with other psychiatric disorders.
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Affiliation(s)
- Yanjie Qi
- Laboratoire de Neurogénétique, Centre de Recherche, Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3V2, Canada.
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.
| | - Yi Zheng
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.
- Center of Schizophrenia, Beijing Institute for Brain Disorders, Beijing 100088, China.
| | - Zhanjiang Li
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.
- Center of Schizophrenia, Beijing Institute for Brain Disorders, Beijing 100088, China.
| | - Lan Xiong
- Laboratoire de Neurogénétique, Centre de Recherche, Institut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3V2, Canada.
- Département de Psychiatrie, Faculté de Médecine, Université de Montréal, Montreal, QC H3C 3J7, Canada.
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada.
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38
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Zhu X, Suk HI, Huang H, Shen D. Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers. IEEE TRANSACTIONS ON BIG DATA 2017; 3:405-414. [PMID: 29725610 PMCID: PMC5929142 DOI: 10.1109/tbdata.2017.2735991] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
In this paper, we propose a novel sparse regression method for Brain-Wide and Genome-Wide association study. Specifically, we impose a low-rank constraint on the weight coefficient matrix and then decompose it into two low-rank matrices, which find relationships in genetic features and in brain imaging features, respectively. We also introduce a sparse acyclic digraph with sparsity-inducing penalty to take further into account the correlations among the genetic variables, by which it can be possible to identify the representative SNPs that are highly associated with the brain imaging features. We optimize our objective function by jointly tackling low-rank regression and variable selection in a framework. In our method, the low-rank constraint allows us to conduct variable selection with the low-rank representations of the data; the learned low-sparsity weight coefficients allow discarding unimportant variables at the end. The experimental results on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset showed that the proposed method could select the important SNPs to more accurately estimate the brain imaging features than the state-of-the-art methods.
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Affiliation(s)
- Xiaofeng Zhu
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, and also with the Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin, Guangxi 541000, China
| | - Heung-Il Suk
- Department of Brain and Cognitive Engineering, Korea University, Seoul 03760, Republic of Korea
| | - Heng Huang
- Electrical and Computer Engineering, University of Pittsburgh, USA
| | - Dinggang Shen
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, and also with the Department of Brain and Cognitive Engineering, Korea University, Seoul 03760, Republic of Korea
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39
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Chen CH, Chen HI, Chien WH, Li LH, Wu YY, Chiu YN, Tsai WC, Gau SSF. High resolution analysis of rare copy number variants in patients with autism spectrum disorder from Taiwan. Sci Rep 2017; 7:11919. [PMID: 28931914 PMCID: PMC5607249 DOI: 10.1038/s41598-017-12081-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Accepted: 09/04/2017] [Indexed: 12/27/2022] Open
Abstract
Rare genomic copy number variations (CNVs) (frequency <1%) contribute a part to the genetic underpinnings of autism spectrum disorders (ASD). The study aimed to understand the scope of rare CNV in Taiwanese patients with ASD. We conducted a genome-wide CNV screening of 335 ASD patients (299 males, 36 females) from Taiwan using Affymetrix Genome-Wide Human SNP Array 6.0 and compared the incidence of rare CNV with that of 1093 control subjects (525 males, 568 females). We found a significantly increased global burden of rare CNVs in the ASD group compared to the controls as a whole or when the rare CNVs were classified by the size and types of CNV. Further analysis confirmed the presence of several rare CNVs at regions strongly associated with ASD as reported in the literature in our sample. Additionally, we detected several new private pathogenic CNVs in our samples and five patients carrying two pathogenic CNVs. Our data indicate that rare genomic CNVs contribute a part to the genetic landscape of our ASD patients. These CNVs are highly heterogeneous, and the clinical interpretation of the pathogenic CNVs of ASD is not straightforward in consideration of the incomplete penetrance, varied expressivity, and individual genetic background.
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Affiliation(s)
- Chia-Hsiang Chen
- Department of Psychiatry, Chang Gung Memorial Hospital-Linkou, Taoyuan, Taiwan.,Department and Graduate Institute of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Hsin-I Chen
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Wei-Hsien Chien
- Department of Occupational Therapy, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Ling-Hui Li
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Yu-Yu Wu
- Department of Psychiatry, Chang Gung Memorial Hospital-Linkou, Taoyuan, Taiwan
| | - Yen-Nan Chiu
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Wen-Che Tsai
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Susan Shur-Fen Gau
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan. .,Graduate Institute of Brain and Mind Sciences, National Taiwan University, Taipei, Taiwan. .,Graduate Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.
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40
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Targeted sequencing and functional analysis reveal brain-size-related genes and their networks in autism spectrum disorders. Mol Psychiatry 2017; 22:1282-1290. [PMID: 28831199 DOI: 10.1038/mp.2017.140] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2016] [Revised: 03/31/2017] [Accepted: 05/19/2017] [Indexed: 02/08/2023]
Abstract
Autism spectrum disorder (ASD) represents a set of complex neurodevelopmental disorders with large degrees of heritability and heterogeneity. We sequenced 136 microcephaly or macrocephaly (Mic-Mac)-related genes and 158 possible ASD-risk genes in 536 Chinese ASD probands and detected 22 damaging de novo mutations (DNMs) in 20 genes, including CHD8 and SCN2A, with recurrent events. Nine of the 20 genes were previously reported to harbor DNMs in ASD patients from other populations, while 11 of them were first identified in present study. We combined genetic variations of the 294 sequenced genes from publicly available whole-exome or whole-genome sequencing studies (4167 probands plus 1786 controls) with our Chinese population (536 cases plus 1457 controls) to optimize the power of candidate-gene prioritization. As a result, we prioritized 67 ASD-candidate genes that exhibited significantly higher probabilities of haploinsufficiency and genic intolerance, and significantly interacted and co-expressed with each another, as well as other known ASD-risk genes. Probands with DNMs or rare inherited mutations in the 67 candidate genes exhibited significantly lower intelligence quotients, supporting their strong functional impact. In addition, we prioritized 39 ASD-related Mic-Mac-risk genes, and showed their interaction and co-expression in a functional network that converged on chromatin remodeling, synapse transmission and cell cycle progression. Genes within the three functional subnetworks exhibited distinct and recognizable spatiotemporal-expression patterns in human brains and laminar-expression profiles in the developing neocortex, highlighting their important roles in brain development. Our results indicate some of Mic-Mac-risk genes are involved in ASD.
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41
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Need AC, Goldstein DB. Neuropsychiatric genomics in precision medicine: diagnostics, gene discovery, and translation. DIALOGUES IN CLINICAL NEUROSCIENCE 2017. [PMID: 27757059 PMCID: PMC5067142 DOI: 10.31887/dcns.2016.18.3/aneed] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Only a few years after its development, next-generation sequencing is rapidly becoming an essential part of clinical care for patients with serious neurological conditions, especially in the diagnosis of early-onset and severe presentations. Beyond this diagnostic role, there has been an explosion in definitive gene discovery in a range of neuropsychiatric diseases. This is providing new pointers to underlying disease biology and is beginning to outline a new framework for genetic stratification of neuropsychiatric disease, with clear relevance to both individual treatment optimization and clinical trial design. Here, we outline these developments and chart the expected impact on the treatment of neurological, neurodevelopmental, and psychiatric disease.
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Affiliation(s)
- Anna C Need
- Division of Brain Sciences, Department of Medicine, Imperial College London, London, W12 ONN, UK
| | - David B Goldstein
- Institute for Genomic Medicine, Columbia University, New York, NY, 10032, USA
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42
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Watanabe M, Hatakeyama S. TRIM proteins and diseases. J Biochem 2017; 161:135-144. [PMID: 28069866 DOI: 10.1093/jb/mvw087] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Accepted: 09/20/2016] [Indexed: 12/20/2022] Open
Abstract
Ubiquitination is one of the posttranslational modifications that regulates a number of intracellular events including signal transduction, protein quality control, transcription, cell cycle, apoptosis and development. The ubiquitin system functions as a garbage machine to degrade target proteins and as a regulator for several signalling pathways. Biochemical reaction of ubiquitination requires several enzymes including E1, E2 and E3, and E3 ubiquitin ligases play roles as receptors for recognizing target proteins. Most of the tripartite motif (TRIM) proteins are E3 ubiquitin ligases. Recent studies have shown that some TRIM proteins function as important regulators for a variety of diseases including cancer, inflammatory diseases, infectious diseases, neuropsychiatric disorders, chromosomal abnormalities and developmental diseases. In this review, we summarize the involvement of TRIM proteins in the aetiology of various diseases.
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Affiliation(s)
- Masashi Watanabe
- Department of Biochemistry, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido 060-8638, Japan
| | - Shigetsugu Hatakeyama
- Department of Biochemistry, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido 060-8638, Japan
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43
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Vojinovic D, Brison N, Ahmad S, Noens I, Pappa I, Karssen LC, Tiemeier H, van Duijn CM, Peeters H, Amin N. Variants in TTC25 affect autistic trait in patients with autism spectrum disorder and general population. Eur J Hum Genet 2017; 25:982-987. [PMID: 28513607 DOI: 10.1038/ejhg.2017.82] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 04/03/2017] [Accepted: 04/13/2017] [Indexed: 12/30/2022] Open
Abstract
Autism spectrum disorder (ASD) is a highly heritable neurodevelopmental disorder with a complex genetic architecture. To identify genetic variants underlying ASD, we performed single-variant and gene-based genome-wide association studies using a dense genotyping array containing over 2.3 million single-nucleotide variants in a discovery sample of 160 families with at least one child affected with non-syndromic ASD using a binary (ASD yes/no) phenotype and a quantitative autistic trait. Replication of the top findings was performed in Psychiatric Genomics Consortium and Erasmus Rucphen Family (ERF) cohort study. Significant association of quantitative autistic trait was observed with the TTC25 gene at 17q21.2 (effect size=10.2, P-value=3.4 × 10-7) in the gene-based analysis. The gene also showed nominally significant association in the cohort-based ERF study (effect=1.75, P-value=0.05). Meta-analysis of discovery and replication improved the association signal (P-valuemeta=1.5 × 10-8). No genome-wide significant signal was observed in the single-variant analysis of either the binary ASD phenotype or the quantitative autistic trait. Our study has identified a novel gene TTC25 to be associated with quantitative autistic trait in patients with ASD. The replication of association in a cohort-based study and the effect estimate suggest that variants in TTC25 may also be relevant for broader ASD phenotype in the general population. TTC25 is overexpressed in frontal cortex and testis and is known to be involved in cilium movement and thus an interesting candidate gene for autistic trait.
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Affiliation(s)
- Dina Vojinovic
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Nathalie Brison
- Center for Human Genetics, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ilse Noens
- Leuven Autism Research (LAuRes), Leuven, Belgium.,Parenting and Special Education Research Unit, KU Leuven, Leuven, Belgium
| | - Irene Pappa
- School of Pedagogical and Educational Sciences, Erasmus University Rotterdam, Rotterdam, The Netherlands.,Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Lennart C Karssen
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,PolyOmica, s-Hertogenbosch, The Netherlands
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center-Sophia Children's Hospital, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Leiden Academic Centre for Drug Research (LACDR), Leiden University, The Netherlands
| | - Hilde Peeters
- Center for Human Genetics, University Hospitals Leuven, KU Leuven, Leuven, Belgium.,Leuven Autism Research (LAuRes), Leuven, Belgium
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
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44
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Saltel F, Giese A, Azzi L, Elatmani H, Costet P, Ezzoukhry Z, Dugot-Senant N, Miquerol L, Boussadia O, Wodrich H, Dubus P, Jacquemin-Sablon H. Unr defines a novel class of nucleoplasmic reticulum involved in mRNA translation. J Cell Sci 2017; 130:1796-1808. [PMID: 28386023 DOI: 10.1242/jcs.198697] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 03/31/2017] [Indexed: 12/23/2022] Open
Abstract
Unr (officially known as CSDE1) is a cytoplasmic RNA-binding protein with roles in the regulation of mRNA stability and translation. In this study, we identified a novel function for Unr, which acts as a positive regulator of placental development. Unr expression studies in the developing placenta revealed the presence of Unr-rich foci that are apparently located in the nuclei of trophoblast giant cells (TGCs). We determined that what we initially thought to be foci, were actually cross sections of a network of double-wall nuclear membrane invaginations that contain a cytoplasmic core related to the nucleoplasmic reticulum (NR). We named them, accordingly, Unr-NRs. Unr-NRs constitute a novel type of NR because they contain high levels of poly(A) RNA and translation factors, and are sites of active translation. In murine tissues, Unr-NRs are only found in two polyploid cell types, in TGCs and hepatocytes. In vitro, their formation is linked to stress and polyploidy because, in three cancer cell lines, cytotoxic drugs that are known to promote polyploidization induce their formation. Finally, we show that Unr is required in vivo for the formation of Unr-containing NRs because these structures are absent in Unr-null TGCs.
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Affiliation(s)
- Frédéric Saltel
- INSERM UMR1053 Bordeaux Research In Translational Oncology, BaRITOn, F-33000 Bordeaux, France .,University of Bordeaux, F-33000 Bordeaux, France
| | - Alban Giese
- INSERM UMR1053 Bordeaux Research In Translational Oncology, BaRITOn, F-33000 Bordeaux, France.,University of Bordeaux, F-33000 Bordeaux, France
| | - Lamia Azzi
- INSERM UMR1053 Bordeaux Research In Translational Oncology, BaRITOn, F-33000 Bordeaux, France.,University of Bordeaux, F-33000 Bordeaux, France.,Department of Tumor Biology, CHU, F-33000 Bordeaux, France
| | - Habiba Elatmani
- INSERM UMR1053 Bordeaux Research In Translational Oncology, BaRITOn, F-33000 Bordeaux, France.,University of Bordeaux, F-33000 Bordeaux, France
| | - Pierre Costet
- Laboratoire de Transgenèse, Université Bordeaux, F-33000 Bordeaux, France
| | - Zakaria Ezzoukhry
- INSERM UMR1053 Bordeaux Research In Translational Oncology, BaRITOn, F-33000 Bordeaux, France.,University of Bordeaux, F-33000 Bordeaux, France
| | | | - Lucile Miquerol
- Aix-Marseille University, CNRS, IBDM UMR 7288, Marseille, France
| | | | - Harald Wodrich
- University of Bordeaux, F-33000 Bordeaux, France.,MFP CNRS UMR 5234, Microbiologie Fondamentale et Pathogénicité, Université de Bordeaux, F-33000 Bordeaux, France
| | - Pierre Dubus
- INSERM UMR1053 Bordeaux Research In Translational Oncology, BaRITOn, F-33000 Bordeaux, France.,University of Bordeaux, F-33000 Bordeaux, France.,Department of Tumor Biology, CHU, F-33000 Bordeaux, France
| | - Hélène Jacquemin-Sablon
- INSERM UMR1053 Bordeaux Research In Translational Oncology, BaRITOn, F-33000 Bordeaux, France .,University of Bordeaux, F-33000 Bordeaux, France
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45
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Krsička D, Geryk J, Vlčková M, Havlovicová M, Macek M, Pourová R. Identification of likely associations between cerebral folate deficiency and complex genetic- and metabolic pathogenesis of autism spectrum disorders by utilization of a pilot interaction modeling approach. Autism Res 2017; 10:1424-1435. [DOI: 10.1002/aur.1780] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Revised: 02/01/2017] [Accepted: 02/23/2017] [Indexed: 12/12/2022]
Affiliation(s)
- Daniel Krsička
- Department of Biology and Medical Genetics, 2nd Faculty of Medicine; Charles University and University Hospital Motol; V Úvalu 84, 150 06 Prague Czech Republic
| | - Jan Geryk
- Department of Biology and Medical Genetics, 2nd Faculty of Medicine; Charles University and University Hospital Motol; V Úvalu 84, 150 06 Prague Czech Republic
| | - Markéta Vlčková
- Department of Biology and Medical Genetics, 2nd Faculty of Medicine; Charles University and University Hospital Motol; V Úvalu 84, 150 06 Prague Czech Republic
| | - Markéta Havlovicová
- Department of Biology and Medical Genetics, 2nd Faculty of Medicine; Charles University and University Hospital Motol; V Úvalu 84, 150 06 Prague Czech Republic
| | - Milan Macek
- Department of Biology and Medical Genetics, 2nd Faculty of Medicine; Charles University and University Hospital Motol; V Úvalu 84, 150 06 Prague Czech Republic
| | - Radka Pourová
- Department of Biology and Medical Genetics, 2nd Faculty of Medicine; Charles University and University Hospital Motol; V Úvalu 84, 150 06 Prague Czech Republic
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46
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Genome-wide copy number variation analysis in a Chinese autism spectrum disorder cohort. Sci Rep 2017; 7:44155. [PMID: 28281572 PMCID: PMC5345089 DOI: 10.1038/srep44155] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Accepted: 02/03/2017] [Indexed: 12/27/2022] Open
Abstract
Autism spectrum disorder (ASD) describes a group of neurodevelopmental disorders with high heritability, although the underlying genetic determinants of ASDs remain largely unknown. Large-scale whole-genome studies of copy number variation in Han Chinese samples are still lacking. We performed a genome-wide copy number variation analysis of 343 ASD trios, 203 patients with sporadic cases and 988 controls in a Chinese population using Illumina genotyping platforms to identify CNVs and related genes that may contribute to ASD risk. We identified 32 rare CNVs larger than 1 Mb in 31 patients. ASD patients were found to carry a higher global burden of rare, large CNVs than controls. Recurrent de novo or case-private CNVs were found at 15q11-13, Xp22.3, 15q13.1–13.2, 3p26.3 and 2p12. The de novo 15q11–13 duplication was more prevalent in this Chinese population than in those with European ancestry. Several genes, including GRAMD2 and STAM, were implicated as novel ASD risk genes when integrating whole-genome CNVs and whole-exome sequencing data. We also identified several CNVs that include known ASD genes (SHANK3, CDH10, CSMD1) or genes involved in nervous system development (NYAP2, ST6GAL2, GRM6). Besides, our study also implicated Contactins-NYAPs-WAVE1 pathway in ASD pathogenesis. Our findings identify ASD-related CNVs in a Chinese population and implicate novel ASD risk genes and related pathway for further study.
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47
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Tian Y, Wang L, Jia M, Lu T, Ruan Y, Wu Z, Wang L, Liu J, Zhang D. Association of oligodendrocytes differentiation regulator gene DUSP15 with autism. World J Biol Psychiatry 2017; 18:143-150. [PMID: 27223645 DOI: 10.1080/15622975.2016.1178395] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
OBJECTIVES Autism is a pervasive neurodevelopmental disorder with high heritability. Genetic factors play crucial roles in the aetiology of autism. Dual specificity phosphatase 15 (DUSP15) has been recognised as a key regulator gene for oligodendrocytes differentiation. A previous study detected one de novo missense variant (p.Thr107Met) with probable deleterious function in exon 6 of DUSP15 among patients with autism. Therefore, we sequenced this mutation in autistic children and performed an association analysis between DUSP15 polymorphisms and autism. METHODS We performed a case-control study between 255 children affected with autism and 427 healthy controls. Four tag-single nucleotide polymorphisms (SNPs) were selected. These SNPs and the previously reported mutation in exon 6 of DUSP15 were genotyped via Sanger sequencing. RESULTS Our results showed that rs3746599 was significantly associated with autism under allelic, additive and dominant models, respectively (χ2 = 9.699, P = 0.0018; χ2 = 16.224, P = 0.001; χ2 = 7.198, P = 0.007). The association remained significant after Bonferroni correction and permutation tests (n = 10,000). We did not detect the missense variant p.Thr107Met reported in previous studies. However, a de novo missense variant of DUSP15 (p.Ala56Thr) with a probable disease-causing effect was detected in one autistic child while absent in healthy controls. CONCLUSIONS Our findings initially suggest that DUSP15 might be a susceptibility gene for autism in Chinese Han population.
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Affiliation(s)
- Ye Tian
- a Institute of Mental Health, Peking University , Beijing , PR China.,b Peking University Sixth Hospital , Beijing , PR China.,c Key Laboratory for Mental Health , Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University) , Beijing , PR China
| | - Lifang Wang
- a Institute of Mental Health, Peking University , Beijing , PR China.,b Peking University Sixth Hospital , Beijing , PR China.,c Key Laboratory for Mental Health , Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University) , Beijing , PR China
| | - Meixiang Jia
- a Institute of Mental Health, Peking University , Beijing , PR China.,b Peking University Sixth Hospital , Beijing , PR China.,c Key Laboratory for Mental Health , Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University) , Beijing , PR China
| | - Tianlan Lu
- a Institute of Mental Health, Peking University , Beijing , PR China.,b Peking University Sixth Hospital , Beijing , PR China.,c Key Laboratory for Mental Health , Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University) , Beijing , PR China
| | - Yanyan Ruan
- a Institute of Mental Health, Peking University , Beijing , PR China.,b Peking University Sixth Hospital , Beijing , PR China.,c Key Laboratory for Mental Health , Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University) , Beijing , PR China
| | - Zhiliu Wu
- a Institute of Mental Health, Peking University , Beijing , PR China.,b Peking University Sixth Hospital , Beijing , PR China.,c Key Laboratory for Mental Health , Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University) , Beijing , PR China
| | - Linyan Wang
- a Institute of Mental Health, Peking University , Beijing , PR China.,b Peking University Sixth Hospital , Beijing , PR China.,c Key Laboratory for Mental Health , Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University) , Beijing , PR China
| | - Jing Liu
- a Institute of Mental Health, Peking University , Beijing , PR China.,b Peking University Sixth Hospital , Beijing , PR China.,c Key Laboratory for Mental Health , Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University) , Beijing , PR China
| | - Dai Zhang
- a Institute of Mental Health, Peking University , Beijing , PR China.,b Peking University Sixth Hospital , Beijing , PR China.,c Key Laboratory for Mental Health , Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University) , Beijing , PR China.,d PKU-IDG/McGovern Institute for Brain Research, Peking University , Beijing , PR China
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48
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Moussa HN, Sibai BM, Blackwell SC, Leon MG, Hylin MJ, Redell JB, Liu Y, Dash PK, Longo M. Contribution of maternal hypertension to autism etiology in a murine model; cerebellar gene expression. FUTURE NEUROLOGY 2017. [DOI: 10.2217/fnl-2016-0011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Aim: To study the contribution of maternal hypertension to autism spectrum disorders’ (ASD) phenotype, and gene expression, in a murine model. Materials & methods: To examine the effects of maternal hypertension, we used a well-described transgenic mouse model lacking functional endothelial nitric oxide synthase (eNOS or NOS3). Behavioral testing was performed on male offspring between 8 and 10 weeks of age. Cerebella underwent shotgun transcriptome RNA sequencing. Differentially expressed genes were examined for Gene Ontology enrichment. 2-way-RM-ANOVA, 1-way-ANOVA and Student's t-test were used for statistical analysis. Results & conclusion: Our findings revealed that a deficit in social behavior, the hallmark of ASD, is differentially present in offspring born to hypertensive mothers. Novel ASD-related genes were differentially expressed in the cerebellum, implicating its possible role in ASD etiology. Condensation: Altered uterine environment resulting from maternal hypertension contributes to ASD phenotype, and modifies expression of novel ASD-related genes in cerebella of eNOS heterozygous offspring.
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Affiliation(s)
- Hind N Moussa
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology & Reproductive Sciences, McGovern Medical School at The University of Texas Health Science Center at Houston (UT Health), Houston, TX 77030, USA
| | - Baha M Sibai
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology & Reproductive Sciences, McGovern Medical School at The University of Texas Health Science Center at Houston (UT Health), Houston, TX 77030, USA
| | - Sean C Blackwell
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology & Reproductive Sciences, McGovern Medical School at The University of Texas Health Science Center at Houston (UT Health), Houston, TX 77030, USA
| | - Mateo G Leon
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology & Reproductive Sciences, McGovern Medical School at The University of Texas Health Science Center at Houston (UT Health), Houston, TX 77030, USA
| | - Michael J Hylin
- Neurobiology & Anatomy, McGovern Medical School at The University of Texas Health Science Center at Houston (UT Health), Houston, TX 77030, USA
| | - John B Redell
- Neurobiology & Anatomy, McGovern Medical School at The University of Texas Health Science Center at Houston (UT Health), Houston, TX 77030, USA
| | - Yin Liu
- Neurobiology & Anatomy, McGovern Medical School at The University of Texas Health Science Center at Houston (UT Health), Houston, TX 77030, USA
| | - Pramod K Dash
- Neurobiology & Anatomy, McGovern Medical School at The University of Texas Health Science Center at Houston (UT Health), Houston, TX 77030, USA
| | - Monica Longo
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology & Reproductive Sciences, McGovern Medical School at The University of Texas Health Science Center at Houston (UT Health), Houston, TX 77030, USA
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49
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Zhu Z, Lu X, Yuan D, Huang S. Close genetic relationships between a spousal pair with autism-affected children and high minor allele content in cases in autism-associated SNPs. Genomics 2016; 109:9-15. [PMID: 27940149 DOI: 10.1016/j.ygeno.2016.12.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Revised: 11/28/2016] [Accepted: 12/07/2016] [Indexed: 02/02/2023]
Abstract
Parents of children affected with autism spectrum disorders (ASD) often have mild forms of autistic-like characteristics. Past studies have focused on searching for individual genetic risk loci of ASD. Here we studied the overall properties of the genomes of ASD trios by using previously published genome-wide data for common SNPs. The pairwise genetic distance (PGD) between a spousal pair with ASD-affected children was found smaller than that of a random pair selected among the spouses in the ASD trios, and spousal relatedness correlated with severe forms of ASD. Furthermore, for a set of 970 ASD associated SNPs, cases showed higher homozygous minor allele content than parents. These results indicate new genetic elements in the broad phenotypes of parents with ASD-affected offspring and in ASD pathogenesis.
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Affiliation(s)
- Zuobin Zhu
- Department of Genetics, Research Center for Neurobiology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China; State Key Laboratory of Medical Genetics, School of Life Sciences, Xiangya Medical School, Central South University, 110 Xiangya Road, Changsha, Hunan 410078, China
| | - Xitong Lu
- State Key Laboratory of Medical Genetics, School of Life Sciences, Xiangya Medical School, Central South University, 110 Xiangya Road, Changsha, Hunan 410078, China
| | - Dejian Yuan
- State Key Laboratory of Medical Genetics, School of Life Sciences, Xiangya Medical School, Central South University, 110 Xiangya Road, Changsha, Hunan 410078, China
| | - Shi Huang
- State Key Laboratory of Medical Genetics, School of Life Sciences, Xiangya Medical School, Central South University, 110 Xiangya Road, Changsha, Hunan 410078, China.
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50
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Yin J, Schaaf CP. Autism genetics - an overview. Prenat Diagn 2016; 37:14-30. [DOI: 10.1002/pd.4942] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Revised: 10/04/2016] [Accepted: 10/11/2016] [Indexed: 12/13/2022]
Affiliation(s)
- Jiani Yin
- Department of Molecular and Human Genetics; Baylor College of Medicine; Houston TX USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital; Houston TX USA
| | - Christian P. Schaaf
- Department of Molecular and Human Genetics; Baylor College of Medicine; Houston TX USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital; Houston TX USA
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