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Yi S, Tang X, Zhang Q, Liang Y, Huang J, Zhang S, Huang L, Yi S, Huang M, Qin Z, Luo J. A nonsense CC2D1A variant is associated with congenital anomalies, motor delay, hypotonia, and slight deformities. Heliyon 2024; 10:e27946. [PMID: 38496842 PMCID: PMC10944275 DOI: 10.1016/j.heliyon.2024.e27946] [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: 08/11/2023] [Revised: 03/04/2024] [Accepted: 03/08/2024] [Indexed: 03/19/2024] Open
Abstract
Background Autosomal recessive intellectual developmental disorder-3 is caused by homozygous or compound heterozygous mutations in the CC2D1A gene. The disorder is characterized by intellectual disability (ID) and autism spectrum disorder (ASD). To date, 39 patients from 17 families with CC2D1A -related disorders have been reported worldwide, in whom only six pathogenic or likely pathogenic loss-of-function variants and three variants of uncertain significance (VUS) in the CC2D1A gene have been identified in these patients. Methods We described a patient with ID from a non-consanguineous Chinese family and whole-exome sequencing (WES) was used to identify the causative gene. Results The patient presented with severe ID and ASD, speech impairment, motor delay, hypotonia, slight facial anomalies, and finger deformities. Threatened abortion and abnormal fetal movements occurred during pregnancy with the proband but not his older healthy sister. WES analysis identified a homozygous nonsense variant, c.736C > T (p.Gln246Ter), in the CC2D1A gene. In addition, six novel likely pathogenic CC2D1A variants were identified by a retrospective review of the in-house database. Conclusions This study expands the genetic and clinical spectra of CC2D1A-associated disorders, and may aid in increasing awareness of this rare condition. Our findings have provided new insights into the clinical heterogeneity of the disease and further phenotype-genotype correlation, which could help to offer scope for more accurate genetic testing and counseling to affected families.
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Affiliation(s)
- Sheng Yi
- Genetic and Metabolic Central Laboratory, Guangxi Birth Defects Research and Prevention Institute, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- Guangxi Clinical Research Center for Pediatric Diseases, Guangxi Key Laboratory of Reproductive Health and Birth Defects Prevention, Guangxi Key Laboratory of Precision Medicine for Genetic Diseases, Guangxi Key Laboratory of Birth Defects and Stem Cell Biobank, Guangxi Key Laboratory of Birth Defects Research and Prevention, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Xianglian Tang
- Genetic and Metabolic Central Laboratory, Guangxi Birth Defects Research and Prevention Institute, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- Guangxi Clinical Research Center for Pediatric Diseases, Guangxi Key Laboratory of Reproductive Health and Birth Defects Prevention, Guangxi Key Laboratory of Precision Medicine for Genetic Diseases, Guangxi Key Laboratory of Birth Defects and Stem Cell Biobank, Guangxi Key Laboratory of Birth Defects Research and Prevention, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Qiang Zhang
- Genetic and Metabolic Central Laboratory, Guangxi Birth Defects Research and Prevention Institute, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- Guangxi Clinical Research Center for Pediatric Diseases, Guangxi Key Laboratory of Reproductive Health and Birth Defects Prevention, Guangxi Key Laboratory of Precision Medicine for Genetic Diseases, Guangxi Key Laboratory of Birth Defects and Stem Cell Biobank, Guangxi Key Laboratory of Birth Defects Research and Prevention, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Yu Liang
- Department of Pathology, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Jing Huang
- Department of Obstetrics, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Shujie Zhang
- Genetic and Metabolic Central Laboratory, Guangxi Birth Defects Research and Prevention Institute, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- Guangxi Clinical Research Center for Pediatric Diseases, Guangxi Key Laboratory of Reproductive Health and Birth Defects Prevention, Guangxi Key Laboratory of Precision Medicine for Genetic Diseases, Guangxi Key Laboratory of Birth Defects and Stem Cell Biobank, Guangxi Key Laboratory of Birth Defects Research and Prevention, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Limei Huang
- Genetic and Metabolic Central Laboratory, Guangxi Birth Defects Research and Prevention Institute, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- Guangxi Clinical Research Center for Pediatric Diseases, Guangxi Key Laboratory of Reproductive Health and Birth Defects Prevention, Guangxi Key Laboratory of Precision Medicine for Genetic Diseases, Guangxi Key Laboratory of Birth Defects and Stem Cell Biobank, Guangxi Key Laboratory of Birth Defects Research and Prevention, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Shang Yi
- Genetic and Metabolic Central Laboratory, Guangxi Birth Defects Research and Prevention Institute, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- Guangxi Clinical Research Center for Pediatric Diseases, Guangxi Key Laboratory of Reproductive Health and Birth Defects Prevention, Guangxi Key Laboratory of Precision Medicine for Genetic Diseases, Guangxi Key Laboratory of Birth Defects and Stem Cell Biobank, Guangxi Key Laboratory of Birth Defects Research and Prevention, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Minpan Huang
- Genetic and Metabolic Central Laboratory, Guangxi Birth Defects Research and Prevention Institute, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- Guangxi Clinical Research Center for Pediatric Diseases, Guangxi Key Laboratory of Reproductive Health and Birth Defects Prevention, Guangxi Key Laboratory of Precision Medicine for Genetic Diseases, Guangxi Key Laboratory of Birth Defects and Stem Cell Biobank, Guangxi Key Laboratory of Birth Defects Research and Prevention, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Zailong Qin
- Genetic and Metabolic Central Laboratory, Guangxi Birth Defects Research and Prevention Institute, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- Guangxi Clinical Research Center for Pediatric Diseases, Guangxi Key Laboratory of Reproductive Health and Birth Defects Prevention, Guangxi Key Laboratory of Precision Medicine for Genetic Diseases, Guangxi Key Laboratory of Birth Defects and Stem Cell Biobank, Guangxi Key Laboratory of Birth Defects Research and Prevention, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Jingsi Luo
- Genetic and Metabolic Central Laboratory, Guangxi Birth Defects Research and Prevention Institute, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- Guangxi Clinical Research Center for Pediatric Diseases, Guangxi Key Laboratory of Reproductive Health and Birth Defects Prevention, Guangxi Key Laboratory of Precision Medicine for Genetic Diseases, Guangxi Key Laboratory of Birth Defects and Stem Cell Biobank, Guangxi Key Laboratory of Birth Defects Research and Prevention, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
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2
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Alhazmi S, Alzahrani M, Farsi R, Alharbi M, Algothmi K, Alburae N, Ganash M, Azhari S, Basingab F, Almuhammadi A, Alqosaibi A, Alkhatabi H, Elaimi A, Jan M, Aldhalaan HM, Alrafiah A, Alrofaidi A. Multiple Recurrent Copy Number Variations (CNVs) in Chromosome 22 Including 22q11.2 Associated with Autism Spectrum Disorder. Pharmgenomics Pers Med 2022; 15:705-720. [PMID: 35898556 PMCID: PMC9309317 DOI: 10.2147/pgpm.s366826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 07/14/2022] [Indexed: 11/29/2022] Open
Abstract
Introduction Autism spectrum disorder (ASD) is a developmental disorder that can cause substantial social, communication, and behavioral challenges. Genetic factors play a significant role in ASD, where the risk of ASD has been increased for unclear reasons. Twin studies have shown important evidence of both genetic and environmental contributions in ASD, where the level of contribution of these factors has not been proven yet. It has been suggested that copy number variation (CNV) duplication and the deletion of many genes in chromosome 22 (Ch22) may have a strong association with ASD. This study screened the CNVs in Ch22 in autistic Saudi children and assessed the candidate gene in the CNVs region of Ch22 that is most associated with ASD. Methods This study included 15 autistic Saudi children as well as 4 healthy children as controls; DNA was extracted from samples and analyzed using array comparative genomic hybridization (aCGH) and DNA sequencing. Results The aCGH detected (in only 6 autistic samples) deletion and duplication in many regions of Ch22, including some critical genes. Moreover, DNA sequencing determined a genetic mutation in the TBX1 gene sequence in autistic samples. This study, carried out using aCGH, found that six autistic patients had CNVs in Ch22, and DNA sequencing revealed mutations in the TBX1 gene in autistic samples but none in the control. Conclusion CNV deletion and the duplication of the TBX1 gene could be related to ASD; therefore, this gene needs more analysis in terms of expression levels.
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Affiliation(s)
- Safiah Alhazmi
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Maryam Alzahrani
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Reem Farsi
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mona Alharbi
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Khloud Algothmi
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Najla Alburae
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Magdah Ganash
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Sheren Azhari
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Fatemah Basingab
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Asma Almuhammadi
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Amany Alqosaibi
- Department of Biology, Imam Abdulrahman bin Faisal University, Dammam, Saudi Arabia
| | - Heba Alkhatabi
- Centre of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Medical Laboratory Science, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Aisha Elaimi
- Centre of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Medical Laboratory Science, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mohammed Jan
- College of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Hesham M Aldhalaan
- Center for Autism Research at King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia
| | - Aziza Alrafiah
- Department of Medical Laboratory Science, King Abdulaziz University, Jeddah, Saudi Arabia
- Correspondence: Aziza Alrafiah, Department of Medical Laboratory Science, King Abdulaziz University, P.O Box 80200, Jeddah, 21589, Saudi Arabia, Tel +966 126401000 Ext. 23495, Fax +966 126401000 Ext. 21686, Email
| | - Aisha Alrofaidi
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
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3
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Mary-Huard T, Das S, Mukhopadhyay I, Robin S. Querying multiple sets of P-values through composed hypothesis testing. Bioinformatics 2021; 38:141-148. [PMID: 34478490 DOI: 10.1093/bioinformatics/btab592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 07/16/2021] [Accepted: 07/27/2021] [Indexed: 02/05/2023] Open
Abstract
MOTIVATION Combining the results of different experiments to exhibit complex patterns or to improve statistical power is a typical aim of data integration. The starting point of the statistical analysis often comes as a set of P-values resulting from previous analyses, that need to be combined flexibly to explore complex hypotheses, while guaranteeing a low proportion of false discoveries. RESULTS We introduce the generic concept of composed hypothesis, which corresponds to an arbitrary complex combination of simple hypotheses. We rephrase the problem of testing a composed hypothesis as a classification task and show that finding items for which the composed null hypothesis is rejected boils down to fitting a mixture model and classifying the items according to their posterior probabilities. We show that inference can be efficiently performed and provide a thorough classification rule to control for type I error. The performance and the usefulness of the approach are illustrated in simulations and on two different applications. The method is scalable, does not require any parameter tuning, and provided valuable biological insight on the considered application cases. AVAILABILITY AND IMPLEMENTATION The QCH methodology is available in the qch package hosted on CRAN. Additionally, R codes to reproduce the Einkorn example are available on the personal webpage of the first author: https://www6.inrae.fr/mia-paris/Equipes/Membres/Tristan-Mary-Huard. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Tristan Mary-Huard
- Mathématiques et informatique appliqués (MIA)-Paris, INRAE, AgroParisTech, Université Paris-Saclay, Paris 75231, France.,Génétique Quantitative et Evolution (GQE)-Le Moulon, Universite Paris-Saclay, INRAE, CNRS, AgroParisTech, Gif-sur-Yvette 91190, France
| | - Sarmistha Das
- Human Genetics Unit, Indian Statistical Institute, Kolkata 700108, India
| | | | - Stéphane Robin
- Mathématiques et informatique appliqués (MIA)-Paris, INRAE, AgroParisTech, Université Paris-Saclay, Paris 75231, France.,Centre d'Écologie et des Sciences de la Conservation (CESCO), MNHN, CNRS, Sorbonne Université, Paris 75005, France
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4
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Anashkina AA, Erlykina EI. Molecular Mechanisms of Aberrant Neuroplasticity in Autism Spectrum Disorders (Review). Sovrem Tekhnologii Med 2021; 13:78-91. [PMID: 34513070 PMCID: PMC8353687 DOI: 10.17691/stm2021.13.1.10] [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: 08/28/2020] [Indexed: 01/03/2023] Open
Abstract
This review presents the analysis and systematization of modern data on the molecular mechanisms of autism spectrum disorders (ASD) development. Polyetiology and the multifactorial nature of ASD have been proved. The attempt has been made to jointly review and systematize current hypotheses of ASD pathogenesis at the molecular level from the standpoint of aberrant brain plasticity. The mechanism of glutamate excitotoxicity formation, the effect of imbalance of neuroactive amino acids and their derivatives, neurotransmitters, and hormones on the ASD formation have been considered in detail. The strengths and weaknesses of the proposed hypotheses have been analyzed from the standpoint of evidence-based medicine. The conclusion has been drawn on the leading role of glutamate excitotoxicity as a biochemical mechanism of aberrant neuroplasticity accompanied by oxidative stress and mitochondrial dysfunction. The mechanism of aberrant neuroplasticity has also been traced at the critical moments of the nervous system development taking into account the influence of various factors of the internal and external environment. New approaches to searching for ASD molecular markers have been considered.
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Affiliation(s)
- A A Anashkina
- Senior Teacher, Department of Biochemistry named after G.Y. Gorodisskaya; Senior Researcher, Central Scientific Research Laboratory, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia
| | - E I Erlykina
- Professor, Head of the Department of Biochemistry named after G.Y. Gorodisskaya, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia
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5
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Khair AM, Salvucci AE. Phenotype Expression Variability in Children with GABRB3 Heterozygous Mutations. Oman Med J 2021; 36:e240. [PMID: 33854792 PMCID: PMC8019580 DOI: 10.5001/omj.2021.27] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 03/09/2020] [Indexed: 11/21/2022] Open
Abstract
GABRB3 gene is a recently identified gene located in 15q12 chromosome and encodes for gamma-aminobutyric acid (GABA) receptor subunit beta-3 protein, which is linked to the GABAA receptor. The gene is believed to share a role in inhibitory GABAergic synapses, GABA iron-gated channel function, and possible cellular response to histamine. The β3 subunit is expressed in cerebral grey matter, thalami, hippocampi, and cerebellum, among other structures. Faulty GABRB3 function is linked to several neurological disorders and clinical syndromes. However, the spectrum of such disorders is not yet well known. We present three case reports highlighting the potentially expanding clinical phenotype and variable expression in children with mutated GABRB3 gene.
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Affiliation(s)
- Abdulhafeez M Khair
- Thomas Jefferson University, Sidney Kimmel Medical College, duPont Hospital for Children, Wilmington DE, USA
| | - Alana E Salvucci
- Thomas Jefferson University, Sidney Kimmel Medical College, duPont Hospital for Children, Wilmington DE, USA
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6
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Zoccante L, Ciceri ML, Gozzi LA, Gennaro GD, Zerman N. The "Connectivome Theory": A New Model to Understand Autism Spectrum Disorders. Front Psychiatry 2021; 12:794516. [PMID: 35250650 PMCID: PMC8892379 DOI: 10.3389/fpsyt.2021.794516] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 11/23/2021] [Indexed: 12/20/2022] Open
Abstract
The classical approach to autism spectrum disorders (ASD) is often limited to considering their neuro-functional aspects. However, recent scientific literature has shown that ASDs also affect many body systems and apparatuses such as the immune system, the sensory-motor system, and the gut-brain axis. The connective tissue, a common thread linking all these structures, may have a pathogenetic role in the multisystem involvement of ASD. Depending on its different anatomical sites, the connective tissue performs functions of connection and support; furthermore, it acts as a barrier between the external and internal environments, regulating the interchange between the two and performing immunological surveillance. The connective tissue shares a close relationship with the central nervous system, the musculoskeletal system and the immune system. Alterations in brain connectivity are common to various developmental disorders, including ASD, and for this reason here we put forward the hypothesis that alterations in the physiological activity of microglia could be implicated in the pathogenesis of ASD. Also, muscle hypotonia is likely to clinically correlate with an altered sensoriality and, in fact, discomfort or early muscle fatigue are often reported in ASDs. Furthermore, patients with ASD often suffer from intestinal dysfunctions, malabsorption and leaky gut syndrome, all phenomena that may be linked to reduced intestinal connectivity. In addition, at the cutaneous and subcutaneous levels, ASDs show a greater predisposition to inflammatory events due to the lack of adequate release of anti-inflammatory mediators. Alveolar-capillary dysfunctions have also been observed in ASD, most frequently interstitial inflammations, immune-mediated forms of allergic asthma, and bronchial hyper-reactivity. Therefore, in autism, altered connectivity can result in phenomena of altered sensitivity to environmental stimuli. The following interpretative model, that we define as the "connectivome theory," considers the alterations in connective elements of common mesodermal origin located in the various organs and apparatuses and entails the evaluation and interpretation of ASDs through also highlighting somatic elements. We believe that this broader approach could be helpful for a more accurate analysis, as it is able to enrich clinical evaluation and define more multidisciplinary and personalized interventions.
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Affiliation(s)
- Leonardo Zoccante
- Child and Adolescent Neuropsychiatry Unit, Maternal-Child Integrated Care Department, Integrated University Hospital Verona, Verona, Italy.,Autism Spectrum Disorders Regional Centre of Verona, Verona, Italy
| | - Marco Luigi Ciceri
- Child and Adolescent Neuropsychiatry Unit, Maternal-Child Integrated Care Department, Integrated University Hospital Verona, Verona, Italy.,Autism Spectrum Disorders Regional Centre of Verona, Verona, Italy
| | - Luigi Alberto Gozzi
- Child and Adolescent Neuropsychiatry Unit, Maternal-Child Integrated Care Department, Integrated University Hospital Verona, Verona, Italy.,Autism Spectrum Disorders Regional Centre of Verona, Verona, Italy
| | - Gianfranco Di Gennaro
- Department of Pathology and Diagnostics, Integrated University Hospital Verona, Verona, Italy
| | - Nicoletta Zerman
- Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, Verona, Italy
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7
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Lago-Baldaia I, Fernandes VM, Ackerman SD. More Than Mortar: Glia as Architects of Nervous System Development and Disease. Front Cell Dev Biol 2020; 8:611269. [PMID: 33381506 PMCID: PMC7767919 DOI: 10.3389/fcell.2020.611269] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 11/17/2020] [Indexed: 12/12/2022] Open
Abstract
Glial cells are an essential component of the nervous system of vertebrates and invertebrates. In the human brain, glia are as numerous as neurons, yet the importance of glia to nearly every aspect of nervous system development has only been expounded over the last several decades. Glia are now known to regulate neural specification, synaptogenesis, synapse function, and even broad circuit function. Given their ubiquity, it is not surprising that the contribution of glia to neuronal disease pathogenesis is a growing area of research. In this review, we will summarize the accumulated evidence of glial participation in several distinct phases of nervous system development and organization-neural specification, circuit wiring, and circuit function. Finally, we will highlight how these early developmental roles of glia contribute to nervous system dysfunction in neurodevelopmental and neurodegenerative disorders.
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Affiliation(s)
- Inês Lago-Baldaia
- Department of Cell and Developmental Biology, University College London, London, United Kingdom
| | - Vilaiwan M. Fernandes
- Department of Cell and Developmental Biology, University College London, London, United Kingdom
| | - Sarah D. Ackerman
- Institute of Neuroscience, Howard Hughes Medical Institute, University of Oregon, Eugene, OR, United States
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8
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Comprehensive in silico mutational-sensitivity analysis of PTEN establishes signature regions implicated in pathogenesis of Autism Spectrum Disorders. Genomics 2020; 113:999-1017. [PMID: 33152507 DOI: 10.1016/j.ygeno.2020.10.035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 09/22/2020] [Accepted: 10/30/2020] [Indexed: 01/18/2023]
Abstract
An extensively studied cancer and Autism Spectrum Disorders (ASD) gene like PTEN provided an exclusive opportunity to map its mutational-landscape, compare and establish plausible genotypic predictors of ASD-associated phenotypic outcomes. Our exhaustive in silico analysis on 4252 SNPs using >30 tools identified increased mutational-density in exon7. Phosphatase domain, although evolutionarily conserved, had the most nsSNPs localised within signature regions. The evolutionarily variable C-terminal side contained the highest truncating-SNPs outside signature regions of C2 domain and most PTMs within C-tail site which displayed maximum intolerance to polymorphisms, and permitted benign but destabilising nsSNPs that enhanced its intrinsically-disordered nature. ASD-associated SNPs localised within ATP-binding motifs and Nuclear-Localising-Sequences were the most potent triggers of ASD manifestation. These, along with variations within P, WPD and TI loops, M1 within phosphatase domain, M2 and MoRFs of C2 domain, caused severe long-range conformational fluctuations altering PTEN's dynamic stability- not observed in variations outside signature regions. 3'UTR-SNPs affected 44 strong miRNA brain-specific targets; several 5' UTR-SNPs targeted transcription-factor POLR2A and 10 pathogenic Splice-Affecting-Variants were identified.
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9
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CHD7 regulates cardiovascular development through ATP-dependent and -independent activities. Proc Natl Acad Sci U S A 2020; 117:28847-28858. [PMID: 33127760 DOI: 10.1073/pnas.2005222117] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
CHD7 encodes an ATP-dependent chromatin remodeling factor. Mutation of this gene causes multiple developmental disorders, including CHARGE (Coloboma of the eye, Heart defects, Atresia of the choanae, Retardation of growth/development, Genital abnormalities, and Ear anomalies) syndrome, in which conotruncal anomalies are the most prevalent form of heart defects. How CHD7 regulates conotruncal development remains unclear. In this study, we establish that deletion of Chd7 in neural crest cells (NCCs) causes severe conotruncal defects and perinatal lethality, thus providing mouse genetic evidence demonstrating that CHD7 cell-autonomously regulates cardiac NCC development, thereby clarifying a long-standing controversy in the literature. Using transcriptomic analyses, we show that CHD7 fine-tunes the expression of a gene network that is critical for cardiac NCC development. To gain further molecular insights into gene regulation by CHD7, we performed a protein-protein interaction screen by incubating recombinant CHD7 on a protein array. We find that CHD7 directly interacts with several developmental disorder-mutated proteins including WDR5, a core component of H3K4 methyltransferase complexes. This direct interaction suggested that CHD7 may recruit histone-modifying enzymes to target loci independently of its remodeling functions. We therefore generated a mouse model that harbors an ATPase-deficient allele and demonstrates that mutant CHD7 retains the ability to recruit H3K4 methyltransferase activity to its targets. Thus, our data uncover that CHD7 regulates cardiovascular development through ATP-dependent and -independent activities, shedding light on the etiology of CHD7-related congenital disorders. Importantly, our data also imply that patients carrying a premature stop codon versus missense mutations will likely display different molecular alterations; these patients might therefore require personalized therapeutic interventions.
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10
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Courchesne E, Gazestani VH, Lewis NE. Prenatal Origins of ASD: The When, What, and How of ASD Development. Trends Neurosci 2020; 43:326-342. [PMID: 32353336 PMCID: PMC7373219 DOI: 10.1016/j.tins.2020.03.005] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 01/28/2020] [Accepted: 03/04/2020] [Indexed: 02/08/2023]
Abstract
Autism spectrum disorder (ASD) is a largely heritable, multistage prenatal disorder that impacts a child's ability to perceive and react to social information. Most ASD risk genes are expressed prenatally in many ASD-relevant brain regions and fall into two categories: broadly expressed regulatory genes that are expressed in the brain and other organs, and brain-specific genes. In trimesters one to three (Epoch-1), one set of broadly expressed (the majority) and brain-specific risk genes disrupts cell proliferation, neurogenesis, migration, and cell fate, while in trimester three and early postnatally (Epoch-2) another set (the majority being brain specific) disrupts neurite outgrowth, synaptogenesis, and the 'wiring' of the cortex. A proposed model is that upstream, highly interconnected regulatory ASD gene mutations disrupt transcriptional programs or signaling pathways resulting in dysregulation of downstream processes such as proliferation, neurogenesis, synaptogenesis, and neural activity. Dysregulation of signaling pathways is correlated with ASD social symptom severity. Since the majority of ASD risk genes are broadly expressed, many ASD individuals may benefit by being treated as having a broader medical disorder. An important future direction is the noninvasive study of ASD cell biology.
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Affiliation(s)
- Eric Courchesne
- Department of Neuroscience, University of California, San Diego, San Diego, CA 92093, USA; Autism Center of Excellence, University of California, San Diego, San Diego, CA 92037, USA.
| | - Vahid H Gazestani
- Department of Neuroscience, University of California, San Diego, San Diego, CA 92093, USA; Autism Center of Excellence, University of California, San Diego, San Diego, CA 92037, USA; Department of Pediatrics, University of California, San Diego, San Diego, CA 92093, USA
| | - Nathan E Lewis
- Department of Pediatrics, University of California, San Diego, San Diego, CA 92093, USA; Department of Bioengineering, University of California, San Diego, San Diego, CA 92093, USA
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11
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Hu H, Kahrizi K, Musante L, Fattahi Z, Herwig R, Hosseini M, Oppitz C, Abedini SS, Suckow V, Larti F, Beheshtian M, Lipkowitz B, Akhtarkhavari T, Mehvari S, Otto S, Mohseni M, Arzhangi S, Jamali P, Mojahedi F, Taghdiri M, Papari E, Soltani Banavandi MJ, Akbari S, Tonekaboni SH, Dehghani H, Ebrahimpour MR, Bader I, Davarnia B, Cohen M, Khodaei H, Albrecht B, Azimi S, Zirn B, Bastami M, Wieczorek D, Bahrami G, Keleman K, Vahid LN, Tzschach A, Gärtner J, Gillessen-Kaesbach G, Varaghchi JR, Timmermann B, Pourfatemi F, Jankhah A, Chen W, Nikuei P, Kalscheuer VM, Oladnabi M, Wienker TF, Ropers HH, Najmabadi H. Genetics of intellectual disability in consanguineous families. Mol Psychiatry 2019; 24:1027-1039. [PMID: 29302074 DOI: 10.1038/s41380-017-0012-2] [Citation(s) in RCA: 113] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 10/19/2017] [Accepted: 10/30/2017] [Indexed: 01/17/2023]
Abstract
Autosomal recessive (AR) gene defects are the leading genetic cause of intellectual disability (ID) in countries with frequent parental consanguinity, which account for about 1/7th of the world population. Yet, compared to autosomal dominant de novo mutations, which are the predominant cause of ID in Western countries, the identification of AR-ID genes has lagged behind. Here, we report on whole exome and whole genome sequencing in 404 consanguineous predominantly Iranian families with two or more affected offspring. In 219 of these, we found likely causative variants, involving 77 known and 77 novel AR-ID (candidate) genes, 21 X-linked genes, as well as 9 genes previously implicated in diseases other than ID. This study, the largest of its kind published to date, illustrates that high-throughput DNA sequencing in consanguineous families is a superior strategy for elucidating the thousands of hitherto unknown gene defects underlying AR-ID, and it sheds light on their prevalence.
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Affiliation(s)
- Hao Hu
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany.,Guangzhou Women and Children's Medical Center, 510623, Guangzhou, China
| | - Kimia Kahrizi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Luciana Musante
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany
| | - Zohreh Fattahi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Ralf Herwig
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany
| | - Masoumeh Hosseini
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Cornelia Oppitz
- IMP-Research Institute of Molecular Pathology, 1030, Vienna, Austria
| | - Seyedeh Sedigheh Abedini
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Vanessa Suckow
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany
| | - Farzaneh Larti
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Maryam Beheshtian
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | | | - Tara Akhtarkhavari
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Sepideh Mehvari
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Sabine Otto
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany
| | - Marzieh Mohseni
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Sanaz Arzhangi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Payman Jamali
- Shahrood Genetic Counseling Center, Welfare Office, Semnan, 36156, Iran
| | - Faezeh Mojahedi
- Mashhad Medical Genetic Counseling Center, Mashhad, 91767, Iran
| | - Maryam Taghdiri
- Shiraz Genetic Counseling Center, Welfare Office, Shiraz, Iran
| | - Elaheh Papari
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | | | - Saeide Akbari
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Seyed Hassan Tonekaboni
- Pediatric Neurology Research Center, Mofid Children's Hospital, Shahid Beheshti University of Medical Sciences, Tehran, 15468, Iran
| | - Hossein Dehghani
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Mohammad Reza Ebrahimpour
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Ingrid Bader
- Kinderzentrum München, Technische Universität München, 81377, München, Germany
| | - Behzad Davarnia
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Monika Cohen
- Children's Center Munich, 81377, Munich, Germany
| | - Hossein Khodaei
- Meybod Genetics Research Center, Welfare Organization, Yazd, 89651, Iran
| | - Beate Albrecht
- Institute of Human Genetics, University Hospital Essen, 45122, Essen, Germany
| | - Sarah Azimi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Birgit Zirn
- Genetikum Counseling Center, 70173, Stuttgart, Germany
| | - Milad Bastami
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Dagmar Wieczorek
- Institute of Human Genetics and Anthropology, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Gholamreza Bahrami
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Krystyna Keleman
- IMP-Research Institute of Molecular Pathology, 1030, Vienna, Austria.,Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA, 20147, USA
| | - Leila Nouri Vahid
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Andreas Tzschach
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany.,Institute of Clinical Genetics, Technische Universität Dresden, Dresden, Germany
| | - Jutta Gärtner
- University Medical Center, Georg August University Göttingen, 37075, Göttingen, Germany
| | | | | | - Bernd Timmermann
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany
| | | | - Aria Jankhah
- Shiraz Genetic Counseling Center, Shiraz, 71346, Iran
| | - Wei Chen
- Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, 13125, Berlin, Germany
| | - Pooneh Nikuei
- Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | | | - Morteza Oladnabi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Thomas F Wienker
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany
| | - Hans-Hilger Ropers
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany. .,Institute of Human Genetics, University Medicine, Mainz, Germany.
| | - Hossein Najmabadi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran. .,Kariminejad - Najmabadi Pathology & Genetics Centre, Tehran, 14667-13713, Iran.
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12
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Hoang N, Cytrynbaum C, Scherer SW. Communicating complex genomic information: A counselling approach derived from research experience with Autism Spectrum Disorder. PATIENT EDUCATION AND COUNSELING 2018; 101:352-361. [PMID: 28803755 DOI: 10.1016/j.pec.2017.07.029] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Revised: 07/17/2017] [Accepted: 07/24/2017] [Indexed: 06/07/2023]
Abstract
Individuals with Autism Spectrum Disorder (ASD) share characteristics (impairments in socialization and communication, and repetitive interests and behaviour), but differ in their developmental course, pattern of symptoms, and cognitive and language abilities. The development of standardized phenotyping has revealed ASD to clinically be vastly heterogeneous, ranging from milder presentations to more severe forms associated with profound intellectual disability. Some 100 genes have now been implicated in the etiology of ASD, and advances in genome-wide testing continue to yield new data at an unprecedented rate. As the translation of this data is incorporated into clinical care, genetic professionals/counsellors, as well as other health care providers, will benefit from guidelines and tools to effectively communicate such genomic information. Here, we present a model to facilitate communication regarding the complexities of ASD, where clinical and genetic heterogeneity, as well as overlapping neurological conditions are inherent. We outline an approach for counselling families about their genomic results grounded in our direct experience from counselling families participating in an ASD research study, and supported by rationale from the literature.
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Affiliation(s)
- Ny Hoang
- Department of Genetic Counselling, The Hospital for Sick Children, Toronto, Canada; Autism Research Unit, The Hospital for Sick Children, Toronto, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Canada; Genetics and Genome Biology, Research Institute, The Hospital for Sick Children, Toronto, Canada.
| | - Cheryl Cytrynbaum
- Department of Genetic Counselling, The Hospital for Sick Children, Toronto, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Canada; Genetics and Genome Biology, Research Institute, The Hospital for Sick Children, Toronto, Canada.
| | - Stephen W Scherer
- Department of Molecular Genetics, University of Toronto, Toronto, Canada; Genetics and Genome Biology, Research Institute, The Hospital for Sick Children, Toronto, Canada; The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Canada; McLaughlin Centre, University of Toronto, Toronto, Canada.
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13
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A framework for the detection of de novo mutations in family-based sequencing data. Eur J Hum Genet 2017; 25:227-233. [PMID: 27876817 PMCID: PMC5255947 DOI: 10.1038/ejhg.2016.147] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Revised: 06/06/2016] [Accepted: 09/13/2016] [Indexed: 02/04/2023] Open
Abstract
Germline mutation detection from human DNA sequence data is challenging due to the rarity of such events relative to the intrinsic error rates of sequencing technologies and the uneven coverage across the genome. We developed PhaseByTransmission (PBT) to identify de novo single nucleotide variants and short insertions and deletions (indels) from sequence data collected in parent-offspring trios. We compute the joint probability of the data given the genotype likelihoods in the individual family members, the known familial relationships and a prior probability for the mutation rate. Candidate de novo mutations (DNMs) are reported along with their posterior probability, providing a systematic way to prioritize them for validation. Our tool is integrated in the Genome Analysis Toolkit and can be used together with the ReadBackedPhasing module to infer the parental origin of DNMs based on phase-informative reads. Using simulated data, we show that PBT outperforms existing tools, especially in low coverage data and on the X chromosome. We further show that PBT displays high validation rates on empirical parent-offspring sequencing data for whole-exome data from 104 trios and X-chromosome data from 249 parent-offspring families. Finally, we demonstrate an association between father's age at conception and the number of DNMs in female offspring's X chromosome, consistent with previous literature reports.
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Helsmoortel C, Swagemakers SMA, Vandeweyer G, Stubbs AP, Palli I, Mortier G, Kooy RF, van der Spek PJ. Whole genome sequencing of a dizygotic twin suggests a role for the serotonin receptor HTR7 in autism spectrum disorder. Am J Med Genet B Neuropsychiatr Genet 2016; 171:1049-1056. [PMID: 27380831 DOI: 10.1002/ajmg.b.32473] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2016] [Accepted: 06/24/2016] [Indexed: 01/18/2023]
Abstract
Whole genome sequencing of a severely affected dizygotic twin with an autism spectrum disorder and intellectual disability revealed a compound heterozygous mutation in the HTR7 gene as the only variation not detected in control databases. Each parent carries one allele of the mutation, which is not present in an unaffected stepsister. The HTR7 gene encodes the 5-HT7 serotonin receptor that is involved in brain development, synaptic transmission, and plasticity. The paternally inherited p.W60C variant is situated at an evolutionary conserved nucleotide and predicted damaging by Polyphen2. A mutation akin to the maternally inherited pV286I mutation has been reported to significantly affect the binding characteristics of the receptor. Therefore, the observed sequence alterations provide a first suggestive link between a genetic abnormality in the HTR7 gene and a neurodevelopmental disorder. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Céline Helsmoortel
- Department of Medical Genetics, University and University Hospital of Antwerp, Edegem, Belgium
| | | | - Geert Vandeweyer
- Department of Medical Genetics, University and University Hospital of Antwerp, Edegem, Belgium
| | - Andrew P Stubbs
- Department of Bioinformatics, Erasmus MC, Rotterdam, The Netherlands
| | - Ivo Palli
- Department of Bioinformatics, Erasmus MC, Rotterdam, The Netherlands
| | - Geert Mortier
- Department of Medical Genetics, University and University Hospital of Antwerp, Edegem, Belgium
| | - R Frank Kooy
- Department of Medical Genetics, University and University Hospital of Antwerp, Edegem, Belgium
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15
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ADNP/ADNP2 expression in oligodendrocytes: implication for myelin-related neurodevelopment. J Mol Neurosci 2015; 57:304-13. [DOI: 10.1007/s12031-015-0640-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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16
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Neul JL, Sahin M. Therapeutic Advances in Autism and Other Neurodevelopmental Disorders. Neurotherapeutics 2015; 12:519-20. [PMID: 26076992 PMCID: PMC4489958 DOI: 10.1007/s13311-015-0364-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Jeffrey L. Neul
- />Division of Child Neurology, Department of Neurosciences, University of California, San Diego, La Jolla, CA USA
| | - Mustafa Sahin
- />Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA USA
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