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Burghel GJ, Ellingford JM, Wright R, Bradford L, Miller J, Watt C, Edgerley J, Naeem F, Banka S. Systematic reanalysis of copy number losses of uncertain clinical significance. J Med Genet 2024; 61:621-625. [PMID: 38604752 DOI: 10.1136/jmg-2023-109559] [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] [Received: 10/12/2023] [Accepted: 03/28/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Reanalysis of exome/genome data improves diagnostic yield. However, the value of reanalysis of clinical array comparative genomic hybridisation (aCGH) data has never been investigated. Case-by-case reanalysis can be challenging in busy diagnostic laboratories. METHODS AND RESULTS We harmonised historical postnatal clinical aCGH results from ~16 000 patients tested via our diagnostic laboratory over ~7 years with current clinical guidance. This led to identification of 37 009 copy number losses (CNLs) including 33 857 benign, 2173 of uncertain significance and 979 pathogenic. We found benign CNLs to be significantly less likely to encompass haploinsufficient genes compared with the pathogenic or CNLs of uncertain significance in our database. Based on this observation, we developed a reanalysis pipeline using up-to-date disease association data and haploinsufficiency scores and shortlisted 207 CNLs of uncertain significance encompassing at least one autosomal dominant disease-gene associated with haploinsufficiency or loss-of-function mechanism. Clinical scientist reviews led to reclassification of 15 CNLs of uncertain significance as pathogenic or likely pathogenic. This was ~0.7% of the starting cohort of 2173 CNLs of uncertain significance and 7.2% of 207 shortlisted CNLs. The reclassified CNLs included first cases of CNV-mediated disease for some genes where all previously described cases involved only point variants. Interestingly, some CNLs could not be reclassified because the phenotypes of patients with CNLs seemed distinct from the known clinical features resulting from point variants, thus raising questions about accepted underlying disease mechanisms. CONCLUSIONS Reanalysis of clinical aCGH data increases diagnostic yield.
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Affiliation(s)
- George J Burghel
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Jamie M Ellingford
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Ronnie Wright
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Lauren Bradford
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jake Miller
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Christopher Watt
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jonathan Edgerley
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Farah Naeem
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Siddharth Banka
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
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Carvalho LML, Jorge AADL, Bertola DR, Krepischi ACV, Rosenberg C. A Comprehensive Review of Syndromic Forms of Obesity: Genetic Etiology, Clinical Features and Molecular Diagnosis. Curr Obes Rep 2024; 13:313-337. [PMID: 38277088 DOI: 10.1007/s13679-023-00543-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/08/2023] [Indexed: 01/27/2024]
Abstract
Syndromic obesity refers to obesity occurring with additional clinical findings, such as intellectual disability/developmental delay, dysmorphic features, and congenital malformations. PURPOSE OF REVIEW: To present a narrative review regarding the genetic etiology, clinical description, and molecular diagnosis of syndromic obesity, which is a rare condition with high phenotypic variability and genetic heterogeneity. The following syndromes are presented in this review: Prader-Willi, Bardet-Biedl, Pseudohypoparathyroidism, Alström, Smith-Magenis, Cohen, Temple, 1p36 deletion, 16p11.2 microdeletion, Kleefstra, SIM1-related, Börjeson-Forssman-Lehmann, WAGRO, Carpenter, MORM, and MYT1L-related syndromes. RECENT FINDINGS: There are three main groups of mechanisms for syndromic obesity: imprinting, transcriptional activity regulation, and cellular cilia function. For molecular diagnostic, methods of genome-wide investigation should be prioritized over sequencing of panels of syndromic obesity genes. In addition, we present novel syndromic conditions that need further delineation, but evidences suggest they have a higher frequency of obesity. The etiology of syndromic obesity tends to be linked to disrupted neurodevelopment (central) and is associated with a diversity of genes and biological pathways. In the genetic investigation of individuals with syndromic obesity, the possibility that the etiology of the syndromic condition is independent of obesity should be considered. The accurate genetic diagnosis impacts medical management, treatment, and prognosis, and allows proper genetic counseling.
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Affiliation(s)
- Laura Machado Lara Carvalho
- Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Laboratory of Human Genetics - LGH, Institute of Biosciences, University of São Paulo (USP), Matão Street 277 - Room 350, São Paulo, SP, Brazil
| | - Alexander Augusto de Lima Jorge
- Genetic Endocrinology Unit, Cellular and Molecular Endocrinology Laboratory (LIM/25), Faculty of Medicine, University of São Paulo (USP), São Paulo, SP, Brazil
| | - Débora Romeo Bertola
- Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Laboratory of Human Genetics - LGH, Institute of Biosciences, University of São Paulo (USP), Matão Street 277 - Room 350, São Paulo, SP, Brazil
- Genetics Unit of Instituto da Criança, Faculty of Medicine, University of São Paulo (USP), São Paulo, SP, Brazil
| | - Ana Cristina Victorino Krepischi
- Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Laboratory of Human Genetics - LGH, Institute of Biosciences, University of São Paulo (USP), Matão Street 277 - Room 350, São Paulo, SP, Brazil
| | - Carla Rosenberg
- Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Laboratory of Human Genetics - LGH, Institute of Biosciences, University of São Paulo (USP), Matão Street 277 - Room 350, São Paulo, SP, Brazil.
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3
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Chen D, Zhou Y, Zhang Y, Zeng H, Wu L, Liu Y. Unraveling shared susceptibility loci and Mendelian genetic associations linking educational attainment with multiple neuropsychiatric disorders. Front Psychiatry 2024; 14:1303430. [PMID: 38250258 PMCID: PMC10797721 DOI: 10.3389/fpsyt.2023.1303430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 12/11/2023] [Indexed: 01/23/2024] Open
Abstract
Background Empirical studies have demonstrated that educational attainment (EA) is associated with neuropsychiatric disorders (NPDs), suggesting a shared etiological basis between them. However, little is known about the shared genetic mechanisms and causality behind such associations. Methods This study explored the shared genetic basis and causal relationships between EA and NPDs using the high-definition likelihood (HDL) method, cross phenotype association study (CPASSOC), transcriptome-wide association study (TWAS), and bidirectional Mendelian randomization (MR) with summary-level data for EA (N = 293,723) and NPDs (N range = 9,725 to 455,258). Results Significant genetic correlations between EA and 12 NPDs (rg range - 0.49 to 0.35; all p < 3.85 × 10-3) were observed. CPASSOC identified 37 independent loci shared between EA and NPDs, one of which was novel (rs71351952, mapped gene: ARFGEF2). Functional analyses and TWAS found shared genes were enriched in brain tissue, especially in the cerebellum and highlighted the regulatory role of neuronal signaling, purine nucleotide metabolic process, and cAMP-mediated signaling pathways. CPASSOC and TWAS supported the role of three regions of 6q16.1, 3p21.31, and 17q21.31 might account for the shared causes between EA and NPDs. MR confirmed higher genetically predicted EA lower the risk of ADHD (ORIVW: 0.50; 95% CI: 0.39 to 0.63) and genetically predicted ADHD decreased the risk of EA (Causal effect: -2.8 months; 95% CI: -3.9 to -1.8). Conclusion These findings provided evidence of shared genetics and causation between EA and NPDs, advanced our understanding of EA, and implicated potential biological pathways that might underlie both EA and NPDs.
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Affiliation(s)
- Dongze Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yi Zhou
- Shenzhen Health Development Research and Data Management Center, Shenzhen, China
| | - Yali Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Huatang Zeng
- Shenzhen Health Development Research and Data Management Center, Shenzhen, China
| | - Liqun Wu
- Shenzhen Health Development Research and Data Management Center, Shenzhen, China
| | - Yuyang Liu
- Shenzhen Health Development Research and Data Management Center, Shenzhen, China
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Mainieri F, La Bella S, Rinaldi M, Chiarelli F. Rare genetic forms of obesity in childhood and adolescence, a comprehensive review of their molecular mechanisms and diagnostic approach. Eur J Pediatr 2023; 182:4781-4793. [PMID: 37607976 DOI: 10.1007/s00431-023-05159-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/09/2023] [Accepted: 08/10/2023] [Indexed: 08/24/2023]
Abstract
Obesity represents a major health problem in the pediatric population with an increasing prevalence worldwide, associated with cardiovascular and metabolic disorders, and due to both genetic and environmental factors. Rare forms of obesity are mostly monogenic, and less frequently due to polygenic influence. Polygenic form of obesity is usually the common obesity with single gene variations exerting smaller impact on weight and is commonly non-syndromic.Non-syndromic monogenic obesity is associated with variants in single genes typically related to the hypothalamic leptin-melanocortin signalling pathway, which plays a key role in hunger and satiety regulation, thus body weight control. Patients with these genetic defects usually present with hyperphagia and early-onset severe obesity. Significant progress in genetic diagnostic testing has recently made for early identification of patients with genetic obesity, which guarantees prompt intervention in terms of therapeutic management of the disease. What is Known: • Obesity represents a major health problem among children and adolescents, with an increasing prevalence worldwide, associated with cardiovascular disease and metabolic abnormalities, and it can be due to both genetic and environmental factors. • Non-syndromic monogenic obesity is linked to modifications in single genes usually involved in the hypothalamic leptin-melanocortin signalling pathway, which plays a key role in hunger and satiety regulation. What is New: • The increasing understanding of rare forms of monogenic obesity has provided significant insights into the genetic causes of pediatric obesity, and our current knowledge of the various genes associated with childhood obesity is rapidly expanding. • A useful diagnostic algorithm for early identification of genetic obesity has been proposed, which can ensure a prompt intervention in terms of therapeutic management of the disease and an early prevention of the development of associated metabolic conditions.
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Affiliation(s)
| | | | - Marta Rinaldi
- Paediatric Department, Stoke Mandeville Hospital, Thames Valley Deanery, Oxford, UK
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Shin T, Song JH, Kosicki M, Kenny C, Beck SG, Kelley L, Qian X, Bonacina J, Papandile F, Antony I, Gonzalez D, Scotellaro J, Bushinsky EM, Andersen RE, Maury E, Pennacchio LA, Doan RN, Walsh CA. Rare variation in noncoding regions with evolutionary signatures contributes to autism spectrum disorder risk. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.19.23295780. [PMID: 37790480 PMCID: PMC10543033 DOI: 10.1101/2023.09.19.23295780] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Little is known about the role of noncoding regions in the etiology of autism spectrum disorder (ASD). We examined three classes of noncoding regions: Human Accelerated Regions (HARs), which show signatures of positive selection in humans; experimentally validated neural Vista Enhancers (VEs); and conserved regions predicted to act as neural enhancers (CNEs). Targeted and whole genome analysis of >16,600 samples and >4900 ASD probands revealed that likely recessive, rare, inherited variants in HARs, VEs, and CNEs substantially contribute to ASD risk in probands whose parents share ancestry, which enriches for recessive contributions, but modestly, if at all, in simplex family structures. We identified multiple patient variants in HARs near IL1RAPL1 and in a VE near SIM1 and showed that they change enhancer activity. Our results implicate both human-evolved and evolutionarily conserved noncoding regions in ASD risk and suggest potential mechanisms of how changes in regulatory regions can modulate social behavior.
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Affiliation(s)
- Taehwan Shin
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Janet H.T. Song
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Michael Kosicki
- Environmental Genomics & Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Connor Kenny
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Samantha G. Beck
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Lily Kelley
- Division of Genetics and Genomics, Boston Children’s Hospital; Department of Pediatrics, Harvard Medical School; Allen Discovery Center for Human Brain Evolution, Boston, MA, 02115, USA
| | - Xuyu Qian
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Julieta Bonacina
- Division of Genetics and Genomics, Boston Children’s Hospital; Department of Pediatrics, Harvard Medical School; Allen Discovery Center for Human Brain Evolution, Boston, MA, 02115, USA
| | - Frances Papandile
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Irene Antony
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Dilenny Gonzalez
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Julia Scotellaro
- Division of Genetics and Genomics, Boston Children’s Hospital; Department of Pediatrics, Harvard Medical School; Allen Discovery Center for Human Brain Evolution, Boston, MA, 02115, USA
| | - Evan M. Bushinsky
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Rebecca E. Andersen
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Eduardo Maury
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Len A. Pennacchio
- Environmental Genomics & Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Ryan N. Doan
- Division of Genetics and Genomics, Boston Children’s Hospital; Department of Pediatrics, Harvard Medical School; Allen Discovery Center for Human Brain Evolution, Boston, MA, 02115, USA
| | - Christopher A. Walsh
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
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Schönauer R, Jin W, Findeisen C, Valenzuela I, Devlin LA, Murrell J, Bedoukian EC, Pöschla L, Hantmann E, Riedhammer KM, Hoefele J, Platzer K, Biemann R, Campeau PM, Münch J, Heyne H, Hoffmann A, Ghosh A, Sun W, Dong H, Noé F, Wolfrum C, Woods E, Parker MJ, Neatu R, Le Guyader G, Bruel AL, Perrin L, Spiewak H, Missotte I, Fourgeaud M, Michaud V, Lacombe D, Paolucci SA, Buchan JG, Glissmeyer M, Popp B, Blüher M, Sayer JA, Halbritter J. Monoallelic intragenic POU3F2 variants lead to neurodevelopmental delay and hyperphagic obesity, confirming the gene's candidacy in 6q16.1 deletions. Am J Hum Genet 2023; 110:998-1007. [PMID: 37207645 PMCID: PMC10257002 DOI: 10.1016/j.ajhg.2023.04.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 04/25/2023] [Accepted: 04/28/2023] [Indexed: 05/21/2023] Open
Abstract
While common obesity accounts for an increasing global health burden, its monogenic forms have taught us underlying mechanisms via more than 20 single-gene disorders. Among these, the most common mechanism is central nervous system dysregulation of food intake and satiety, often accompanied by neurodevelopmental delay (NDD) and autism spectrum disorder. In a family with syndromic obesity, we identified a monoallelic truncating variant in POU3F2 (alias BRN2) encoding a neural transcription factor, which has previously been suggested as a driver of obesity and NDD in individuals with the 6q16.1 deletion. In an international collaboration, we identified ultra-rare truncating and missense variants in another ten individuals sharing autism spectrum disorder, NDD, and adolescent-onset obesity. Affected individuals presented with low-to-normal birth weight and infantile feeding difficulties but developed insulin resistance and hyperphagia during childhood. Except for a variant leading to early truncation of the protein, identified variants showed adequate nuclear translocation but overall disturbed DNA-binding ability and promotor activation. In a cohort with common non-syndromic obesity, we independently observed a negative correlation of POU3F2 gene expression with BMI, suggesting a role beyond monogenic obesity. In summary, we propose deleterious intragenic variants of POU3F2 to cause transcriptional dysregulation associated with hyperphagic obesity of adolescent onset with variable NDD.
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Affiliation(s)
- Ria Schönauer
- Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany; Division of Nephrology, Endocrinology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Wenjun Jin
- Division of Nephrology, Endocrinology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Christin Findeisen
- Division of Nephrology, Endocrinology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | | | - Laura Alice Devlin
- Translational and Clinical Research Institute, Newcastle University, Central Parkway, NE1 3BZ Newcastle, UK
| | - Jill Murrell
- Division of Genomic Diagnostics at Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Emma C Bedoukian
- Roberts Individualized Medical Genetics Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Linda Pöschla
- Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Elena Hantmann
- Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Korbinian M Riedhammer
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University Munich, School of Medicine, Munich, Germany; Department of Nephrology, Klinikum rechts der Isar, Technical University Munich, School of Medicine, Munich, Germany
| | - Julia Hoefele
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University Munich, School of Medicine, Munich, Germany
| | - Konrad Platzer
- Institute of Human Genetics, University of Leipzig Medical Center, Leipzig, Germany
| | - Ronald Biemann
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Leipzig, Germany
| | - Philipp M Campeau
- Department of Pediatrics, University of Montreal, Montreal, QC, Canada
| | - Johannes Münch
- Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Henrike Heyne
- Hasso-Plattner-Institute, University of Potsdam, Potsdam, Germany; Hasso Plattner Institute for Digital Health at Mount Sinai School of Medicine, New York City, NY, USA; Institute for Molecular Medicine Finland: FIMM, University of Helsinki, Helsinki, Finland
| | - Anne Hoffmann
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Adhideb Ghosh
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Wenfei Sun
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Hua Dong
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Falko Noé
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Christian Wolfrum
- Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland
| | - Emily Woods
- Sheffield Children's NHS Foundation Trust, Sheffield, UK
| | | | - Ruxandra Neatu
- Translational and Clinical Research Institute, Newcastle University, Central Parkway, NE1 3BZ Newcastle, UK
| | - Gwenael Le Guyader
- Unité neurovasculaire et troubles cognitifs, University of Poitiers, Poitiers, France
| | - Ange-Line Bruel
- Equipe GAD, UMR1231 Inserm, Université de Bourgogne Franche Comté, Dijon, France
| | - Laurence Perrin
- UF de Génétique Clinique Département de Génétique, CHU Paris - Hôpital Robert Debré, Paris, France
| | - Helena Spiewak
- North East and Yorkshire Genomic Laboratory Hub, Central Laboratory, St. James's University Hospital, Leeds, UK
| | - Isabelle Missotte
- Service de Pédiatrie, Centre Hospitalier Territorial, Nouvelle Calédonie, France
| | - Melanie Fourgeaud
- Service de Génétique Médicale, Centre de Référence Anomalies du Développement et Syndrome Malformatifs, CHU de Bordeaux, France
| | - Vincent Michaud
- Service de Génétique Médicale, Centre de Référence Anomalies du Développement et Syndrome Malformatifs, CHU de Bordeaux, France; INSERM U1211, Maladies Rares: Génétique et Métabolisme (MRGM), Université de Bordeaux, Bordeaux, France
| | - Didier Lacombe
- Service de Génétique Médicale, Centre de Référence Anomalies du Développement et Syndrome Malformatifs, CHU de Bordeaux, France; INSERM U1211, Maladies Rares: Génétique et Métabolisme (MRGM), Université de Bordeaux, Bordeaux, France
| | - Sarah A Paolucci
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Jillian G Buchan
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | | | - Bernt Popp
- Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Center of Functional Genomics, Berlin, Germany
| | - Matthias Blüher
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - John A Sayer
- Translational and Clinical Research Institute, Newcastle University, Central Parkway, NE1 3BZ Newcastle, UK; The Newcastle upon Tyne Hospitals NHS Foundation Trust, Freeman Road, NE7 7DN Newcastle, UK; NIHR Newcastle Biomedical Research Centre, NE4 5PL Newcastle, UK
| | - Jan Halbritter
- Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany; Division of Nephrology, Endocrinology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany.
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7
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Caranica C, Lu M. A data-driven optimization method for coarse-graining gene regulatory networks. iScience 2023; 26:105927. [PMID: 36698721 PMCID: PMC9868542 DOI: 10.1016/j.isci.2023.105927] [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: 08/09/2022] [Revised: 12/19/2022] [Accepted: 01/03/2023] [Indexed: 01/06/2023] Open
Abstract
One major challenge in systems biology is to understand how various genes in a gene regulatory network (GRN) collectively perform their functions and control network dynamics. This task becomes extremely hard to tackle in the case of large networks with hundreds of genes and edges, many of which have redundant regulatory roles and functions. The existing methods for model reduction usually require the detailed mathematical description of dynamical systems and their corresponding kinetic parameters, which are often not available. Here, we present a data-driven method for coarse-graining large GRNs, named SacoGraci, using ensemble-based mathematical modeling, dimensionality reduction, and gene circuit optimization by Markov Chain Monte Carlo methods. SacoGraci requires network topology as the only input and is robust against errors in GRNs. We benchmark and demonstrate its usage with synthetic, literature-based, and bioinformatics-derived GRNs. We hope SacoGraci will enhance our ability to model the gene regulation of complex biological systems.
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Affiliation(s)
- Cristian Caranica
- Department of Bioengineering, Northeastern University, Boston, MA 02115, USA,Center for Theoretical Biological Physics, Northeastern University, Boston, MA 02115, USA
| | - Mingyang Lu
- Department of Bioengineering, Northeastern University, Boston, MA 02115, USA,Center for Theoretical Biological Physics, Northeastern University, Boston, MA 02115, USA,The Jackson Laboratory, Bar Harbor, ME 04609, USA,Corresponding author
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8
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A Maternally Inherited Rare Case with Chromoanagenesis-Related Complex Chromosomal Rearrangements and De Novo Microdeletions. Diagnostics (Basel) 2022; 12:diagnostics12081900. [PMID: 36010250 PMCID: PMC9406357 DOI: 10.3390/diagnostics12081900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 07/22/2022] [Accepted: 08/04/2022] [Indexed: 11/17/2022] Open
Abstract
Chromoanagenesis is a phenomenon of highly complex rearrangements involving the massive genomic shattering and reconstitution of chromosomes that has had a great impact on cancer biology and congenital anomalies. Complex chromosomal rearrangements (CCRs) are structural alterations involving three or more chromosomal breakpoints between at least two chromosomes. Here, we present a 3-year-old boy exhibiting multiple congenital malformations and developmental delay. The cytogenetic analysis found a highly complex CCR inherited from the mother involving four chromosomes and five breakpoints due to forming four derivative chromosomes (2, 3, 6 and 11). FISH analysis identified an ultrarare derivative chromosome 11 containing three parts that connected the 11q telomere to partial 6q and 3q fragments. We postulate that this derivative chromosome 11 is associated with chromoanagenesis-like phenomena by which DNA repair can result in a cooccurrence of inter-chromosomal translocations. Additionally, chromosome microarray studies revealed that the child has one subtle maternal-inherited deletion at 6p12.1 and two de novo deletions at 6q14.1 and 6q16.1~6q16.3. Here, we present a familial CCR case with rare rearranged chromosomal structures and the use of multiple molecular techniques to delineate these genomic alterations. We suggest that chromoanagenesis may be a possible mechanism involved in the repair and reconstitution of these rearrangements with evidence for increasing genomic imbalances such as additional deletions in this case.
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9
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Rodríguez-López R, Gimeno-Ferrer F, do Santos DA, Ferrer-Bolufer I, Luján CG, Alcalá OZ, García-Banacloy A, Cogollos VB, Juan CS. Reviewed and updated Algorithm for Genetic Characterization of Syndromic Obesity Phenotypes. Curr Genomics 2022; 23:147-162. [PMID: 36777005 PMCID: PMC9878830 DOI: 10.2174/1389202923666220426093436] [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: 10/26/2021] [Revised: 11/30/2021] [Accepted: 02/01/2022] [Indexed: 11/22/2022] Open
Abstract
Background: Individuals with a phenotype of early-onset severe obesity associated with intellectual disability can have molecular diagnoses ranging from monogenic to complex genetic traits. Severe overweight is the major sign of a syndromic physical appearance and predicting the influence of a single gene and/or polygenic risk profile is extremely complicated among the majority of the cases. At present, considering rare monogenic bases as the principal etiology for the majority of obesity cases associated with intellectual disability is scientifically poor. The diversity of the molecular bases responsible for the two entities makes the appliance of the current routinely powerful genomics diagnostic tools essential. Objective: Clinical investigation of these difficult-to-diagnose patients requires pediatricians and neurologists to use optimized descriptions of signs and symptoms to improve genotype correlations. Methods: The use of modern integrated bioinformatics strategies which are conducted by experienced multidisciplinary clinical teams. Evaluation of the phenotype of the patient's family is also of importance. Results: The next step involves discarding the monogenic canonical obesity syndromes and considering infrequent unique molecular cases, and/or then polygenic bases. Adequate management of the application of the new technique and its diagnostic phases is essential for achieving good cost/efficiency balances. Conclusion: With the current clinical management, it is necessary to consider the potential coincidence of risk mutations for obesity in patients with genetic alterations that induce intellectual disability. In this review, we describe an updated algorithm for the molecular characterization and diagnosis of patients with a syndromic obesity phenotype.
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Affiliation(s)
- Raquel Rodríguez-López
- Laboratory of Molecular Genetics, Clinical Analysis Service, General Hospital Consortium of Valencia, Valencia, Spain;,Address correspondence to this author at the Laboratory of Molecular Genetics, Clinical Analysis Service, General Hospital Consortium of Valencia, Avenida de las Tres Cruces no. 2 46014, Valencia, Spain; Tel: 0034 963 131 800 – 437317; Fax: 0034 963 131 979; E-mail:
| | - Fátima Gimeno-Ferrer
- Laboratory of Molecular Genetics, Clinical Analysis Service, General Hospital Consortium of Valencia, Valencia, Spain
| | - David Albuquerque do Santos
- Laboratory of Molecular Genetics, Clinical Analysis Service, General Hospital Consortium of Valencia, Valencia, Spain
| | - Irene Ferrer-Bolufer
- Laboratory of Molecular Genetics, Clinical Analysis Service, General Hospital Consortium of Valencia, Valencia, Spain
| | - Carola Guzmán Luján
- Laboratory of Molecular Genetics, Clinical Analysis Service, General Hospital Consortium of Valencia, Valencia, Spain
| | - Otilia Zomeño Alcalá
- Laboratory of Molecular Genetics, Clinical Analysis Service, General Hospital Consortium of Valencia, Valencia, Spain
| | - Amor García-Banacloy
- Laboratory of Molecular Genetics, Clinical Analysis Service, General Hospital Consortium of Valencia, Valencia, Spain
| | | | - Carlos Sánchez Juan
- Endocrinology Service, General Hospital Consortium of Valencia, Valencia, Spain
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10
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Okazaki T, Kawaguchi T, Saiki Y, Aoki C, Kasagi N, Adachi K, Saida K, Matsumoto N, Nanba E, Maegaki Y. Clinical course of a Japanese patient with developmental delay linked to a small 6q16.1 deletion. Hum Genome Var 2022; 9:14. [PMID: 35581197 PMCID: PMC9114330 DOI: 10.1038/s41439-022-00194-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 04/20/2022] [Accepted: 04/20/2022] [Indexed: 01/12/2023] Open
Abstract
There is only one report of patients with developmental delay due to a 6q16.1 deletion that does not contain the SIM1 gene. A 3-year-old female showed strabismus, cleft soft palate, hypotonia at birth, and global developmental delay. Exome sequencing detected a de novo 6q16.1 deletion (chr6: 99282717-100062596) (hg19). The following genes were included in this region: POU3F2, FBXL4, FAXC, COQ3, PNISR, USP45, TSTD3, CCNC, and PRDM13.
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Affiliation(s)
- Tetsuya Okazaki
- grid.412799.00000 0004 0619 0992Division of Clinical Genetics, Tottori University Hospital, Yonago, Japan
| | - Tatsuya Kawaguchi
- grid.265107.70000 0001 0663 5064Division of Child Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Yusuke Saiki
- grid.265107.70000 0001 0663 5064Division of Child Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Chisako Aoki
- grid.412799.00000 0004 0619 0992Division of Clinical Genetics, Tottori University Hospital, Yonago, Japan
| | - Noriko Kasagi
- grid.412799.00000 0004 0619 0992Division of Clinical Genetics, Tottori University Hospital, Yonago, Japan ,grid.265107.70000 0001 0663 5064Department of Fundamental Nursing, School of Health Science, Tottori University Faculty of Medicine, Yonago, Japan
| | - Kaori Adachi
- grid.412799.00000 0004 0619 0992Division of Clinical Genetics, Tottori University Hospital, Yonago, Japan ,grid.265107.70000 0001 0663 5064Research Initiative Center, Organization for Research Initiative and Promotion, Tottori University, Yonago, Japan
| | - Ken Saida
- grid.268441.d0000 0001 1033 6139Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Naomichi Matsumoto
- grid.268441.d0000 0001 1033 6139Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Eiji Nanba
- grid.412799.00000 0004 0619 0992Division of Clinical Genetics, Tottori University Hospital, Yonago, Japan ,grid.265107.70000 0001 0663 5064Research Strategy Division, Organization for Research Initiative and Promotion, Tottori University, Yonago, Japan
| | - Yoshihiro Maegaki
- grid.412799.00000 0004 0619 0992Division of Clinical Genetics, Tottori University Hospital, Yonago, Japan ,grid.265107.70000 0001 0663 5064Division of Child Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
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11
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Juriaans AF, Kerkhof GF, Hokken-Koelega ACS. The Spectrum of the Prader-Willi-like Pheno- and Genotype: A Review of the Literature. Endocr Rev 2022; 43:1-18. [PMID: 34460908 DOI: 10.1210/endrev/bnab026] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Indexed: 12/16/2022]
Abstract
Prader-Willi syndrome (PWS) is a rare genetic syndrome, caused by the loss of expression of the paternal chromosome 15q11-q13 region. Over the past years, many cases of patients with characteristics similar to PWS, but without a typical genetic aberration of the 15q11-q13 region, have been described. These patients are often labelled as Prader-Willi-like (PWL). PWL is an as-yet poorly defined syndrome, potentially affecting a significant number of children and adults. In the current clinical practice, patients labelled as PWL are mostly left without treatment options. Considering the similarities with PWS, children with PWL might benefit from the same care and treatment as children with PWS. This review gives more insight into the pheno- and genotype of PWL and includes 86 papers, containing 368 cases of patients with a PWL phenotype. We describe mutations and aberrations for consideration when suspicion of PWS remains after negative testing. The most common genetic diagnoses were Temple syndrome (formerly known as maternal uniparental disomy 14), Schaaf-Yang syndrome (truncating mutation in the MAGEL2 gene), 1p36 deletion, 2p deletion, 6q deletion, 6q duplication, 15q deletion, 15q duplication, 19p deletion, fragile X syndrome, and Xq duplication. We found that the most prevalent symptoms in the entire group were developmental delay/intellectual disability (76%), speech problems (64%), overweight/obesity (57%), hypotonia (56%), and psychobehavioral problems (53%). In addition, we propose a diagnostic approach to patients with a PWL phenotype for (pediatric) endocrinologists. PWL comprises a complex and diverse group of patients, which calls for multidisciplinary care with an individualized approach.
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Affiliation(s)
- Alicia F Juriaans
- National Reference Center for Prader-Willi Syndrome and Prader-Willi-like, The Netherlands.,Department of Pediatrics, Subdivision of Endocrinology, Erasmus Medical Center, The Netherlands.,Dutch Growth Research Foundation, Rotterdam, The Netherlands
| | - Gerthe F Kerkhof
- National Reference Center for Prader-Willi Syndrome and Prader-Willi-like, The Netherlands.,Department of Pediatrics, Subdivision of Endocrinology, Erasmus Medical Center, The Netherlands
| | - Anita C S Hokken-Koelega
- National Reference Center for Prader-Willi Syndrome and Prader-Willi-like, The Netherlands.,Department of Pediatrics, Subdivision of Endocrinology, Erasmus Medical Center, The Netherlands.,Dutch Growth Research Foundation, Rotterdam, The Netherlands
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12
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Ding C, Zhang C, Kopp R, Kuney L, Meng Q, Wang L, Xia Y, Jiang Y, Dai R, Min S, Yao WD, Wong ML, Ruan H, Liu C, Chen C. Transcription factor POU3F2 regulates TRIM8 expression contributing to cellular functions implicated in schizophrenia. Mol Psychiatry 2021; 26:3444-3460. [PMID: 32929213 PMCID: PMC7956165 DOI: 10.1038/s41380-020-00877-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 09/02/2020] [Accepted: 09/03/2020] [Indexed: 01/17/2023]
Abstract
Schizophrenia (SCZ) is a neuropsychiatric disorder with aberrant expression of multiple genes. However, identifying its exact causal genes remains a considerable challenge. The brain-specific transcription factor POU3F2 (POU domain, class 3, transcription factor 2) has been recognized as a risk factor for SCZ, but our understanding of its target genes and pathogenic mechanisms are still limited. Here we report that POU3F2 regulates 42 SCZ-related genes in knockdown and RNA-sequencing experiments of human neural progenitor cells (NPCs). Among those SCZ-related genes, TRIM8 (Tripartite motif containing 8) is located in SCZ-associated genetic locus and is aberrantly expressed in patients with SCZ. Luciferase reporter and electrophoretic mobility shift assays (EMSA) showed that POU3F2 induces TRIM8 expression by binding to the SCZ-associated SNP (single nucleotide polymorphism) rs5011218, which affects POU3F2-binding efficiency at the promoter region of TRIM8. We investigated the cellular functions of POU3F2 and TRIM8 as they co-regulate several pathways related to neural development and synaptic function. Knocking down either POU3F2 or TRIM8 promoted the proliferation of NPCs, inhibited their neuronal differentiation, and impaired the excitatory synaptic transmission of NPC-derived neurons. These results indicate that POU3F2 regulates TRIM8 expression through the SCZ-associated SNP rs5011218, and both genes may be involved in the etiology of SCZ by regulating neural development and synaptic function.
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Affiliation(s)
- Chaodong Ding
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China,Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Chunling Zhang
- Department of Neuroscience and Physiology, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Richard Kopp
- Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Liz Kuney
- Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Qingtuan Meng
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China,Guangxi Clinical Research Center for Neurological Diseases, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China,Guangxi Key Laboratory of Brain and Cognitive Neuroscience, Guilin Medical University, Guilin, Guangxi, China
| | - Le Wang
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China,Child Health Institute of New Jersey, Department of Neuroscience and Cell Biology, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Yan Xia
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China,Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Yi Jiang
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China,Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - Rujia Dai
- Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Shishi Min
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China,Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Wei-Dong Yao
- Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Ma-Li Wong
- Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Hongyu Ruan
- Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA.
| | - Chunyu Liu
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China. .,Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA. .,School of Psychology, Shaanxi Normal University, Xi'an, Shaanxi, China.
| | - Chao Chen
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China. .,National Clinical Research Center for Geriatric Disorders, the Xiangya Hospital, Central South University, Changsha, Hunan, China. .,Hunan Key Laboratory of Animal Models for Human Diseases, Central South University, Changsha, Hunan, China. .,Hunan Key Laboratory of Molecular Precision Medicine, Central South University, Changsha, Hunan, China.
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13
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Hyder Z, Van Paesschen W, Sabir A, Sansbury FH, Burke KB, Khan N, Chandler KE, Cooper NS, Wright R, McHale E, Van Esch H, Banka S. ERBB4 exonic deletions on chromosome 2q34 in patients with intellectual disability or epilepsy. Eur J Hum Genet 2021; 29:1377-1383. [PMID: 33603162 PMCID: PMC8440581 DOI: 10.1038/s41431-021-00815-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 12/09/2020] [Accepted: 01/19/2021] [Indexed: 11/09/2022] Open
Abstract
ERBB4 encodes the tyrosine kinase receptor HER4, a critical regulator of normal cell function and neurodevelopmental processes in the brain. One of the key ligands of HER4 is neureglin-1 (NRG1), and the HER4-NRG1 signalling pathway is essential in neural crest cell migration, and neuronal differentiation. Pharmacological inactivation of HER4 has been shown to hasten the progression of epileptogenesis in rodent models, and heterozygous ERBB4 null mice are shown to have cognitive deficits and delayed motor development. Thus far there is only a single case report in the literature of a heterozygous ERBB4 deletion in a patient with intellectual disability (ID). We identified nine subjects from five unrelated families with chromosome 2q34 deletions, resulting in heterozygous intragenic loss of multiple exons of ERBB4, associated with either non-syndromic ID or generalised epilepsy. In one family, the deletion segregated with ID in five affected relatives. Overall, this case series further supports that haploinsufficiency of ERBB4 leads to non-syndromic intellectual disability or epilepsy.
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Affiliation(s)
- Zerin Hyder
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
| | - Wim Van Paesschen
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium.,Laboratory for Epilepsy Research, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Ataf Sabir
- West Midlands Regional Genetics Service, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Francis H Sansbury
- All Wales Medical Genomics Service, NHS Wales Cardiff and Vale University Health Board, Institute of Medical Genetics, University Hospital of Wales, Cardiff, UK
| | - Katherine B Burke
- All Wales Medical Genomics Service, NHS Wales Cardiff and Vale University Health Board, Institute of Medical Genetics, University Hospital of Wales, Cardiff, UK
| | - Naz Khan
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Kate E Chandler
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.,Division of Evolution & Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Nicola S Cooper
- West Midlands Regional Genetics Service, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Ronnie Wright
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Edward McHale
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Hilde Van Esch
- Center for Human Genetics, University Hospitals Leuven, University of Leuven, Leuven, Belgium
| | - Siddharth Banka
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.,Division of Evolution & Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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14
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Huang K, Wu Y, Shin J, Zheng Y, Siahpirani AF, Lin Y, Ni Z, Chen J, You J, Keles S, Wang D, Roy S, Lu Q. Transcriptome-wide transmission disequilibrium analysis identifies novel risk genes for autism spectrum disorder. PLoS Genet 2021; 17:e1009309. [PMID: 33539344 PMCID: PMC7888619 DOI: 10.1371/journal.pgen.1009309] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 02/17/2021] [Accepted: 12/11/2020] [Indexed: 12/16/2022] Open
Abstract
Recent advances in consortium-scale genome-wide association studies (GWAS) have highlighted the involvement of common genetic variants in autism spectrum disorder (ASD), but our understanding of their etiologic roles, especially the interplay with rare variants, is incomplete. In this work, we introduce an analytical framework to quantify the transmission disequilibrium of genetically regulated gene expression from parents to offspring. We applied this framework to conduct a transcriptome-wide association study (TWAS) on 7,805 ASD proband-parent trios, and replicated our findings using 35,740 independent samples. We identified 31 associations at the transcriptome-wide significance level. In particular, we identified POU3F2 (p = 2.1E-7), a transcription factor mainly expressed in developmental brain. Gene targets regulated by POU3F2 showed a 2.7-fold enrichment for known ASD genes (p = 2.0E-5) and a 2.7-fold enrichment for loss-of-function de novo mutations in ASD probands (p = 7.1E-5). These results provide a novel connection between rare and common variants, whereby ASD genes affected by very rare mutations are regulated by an unlinked transcription factor affected by common genetic variations.
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Affiliation(s)
- Kunling Huang
- Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Yuchang Wu
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Junha Shin
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Ye Zheng
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Alireza Fotuhi Siahpirani
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Yupei Lin
- University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Zheng Ni
- University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Jiawen Chen
- University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Jing You
- University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Sunduz Keles
- Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Daifeng Wang
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Sushmita Roy
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Qiongshi Lu
- Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
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15
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Tinker RJ, Burghel GJ, Garg S, Steggall M, Cuvertino S, Banka S. Haploinsufficiency of ATP6V0C possibly underlies 16p13.3 deletions that cause microcephaly, seizures, and neurodevelopmental disorder. Am J Med Genet A 2020; 185:196-202. [PMID: 33090716 DOI: 10.1002/ajmg.a.61905] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 09/15/2020] [Accepted: 09/19/2020] [Indexed: 12/11/2022]
Abstract
We recently contributed to the description of eight individuals with a novel condition caused by 16p13.3 microdeletions encompassing TBC1D24, ATP6V0C, and PDPK1 and resulting in epilepsy, microcephaly and neurodevelopmental problems. The phenotypic spectrum, the minimum overlapping region and the underlying disease mechanism for this disorder remain to be clarified. Here we report a 3.5-year-old male, with microcephaly, autism spectrum disorder and a de novo 16p13.3 microdeletion. We performed detailed in silico analysis to show that the minimum overlapping region for the condition is ~80Kb encompassing five protein coding genes. Analysis of loss of function constraint metrics, transcript-aware evaluation of the population variants, GeVIR scores, analysis of reported pathogenic point variants, detailed review of the known functions of gene products and their animal models showed that the haploinsufficiency of ATP6V0C likely underlies the phenotype of this condition. Protein-protein interaction network, gene phenology and analysis of topologically associating domain showed that it was unlikely that the disorder has an epistatic or regulatory basis. 16p13.3 deletions encompassing ATP6V0C cause a neurodevelopmental disorder. Our results broaden the phenotypic spectrum of this disorder and clarify the likely underlying disease mechanism for the condition.
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Affiliation(s)
- Rory J Tinker
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University Foundation NHS Trust, Manchester, UK
| | - George J Burghel
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University Foundation NHS Trust, Manchester, UK
| | - Shruti Garg
- Division of Neuroscience & Experimental Psychology, School of Biological Sciences, University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Greater Manchester Mental Health NHS Trust, Manchester, UK
- Department of Child and Adolescent Psychiatry, Royal Manchester Children's Hospital, Manchester, UK
| | - Maggie Steggall
- Department of Paediatric Medicine, Royal Manchester Children's Hospital, Manchester, UK
| | - Sara Cuvertino
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester, UK
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester, UK
| | - Siddharth Banka
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University Foundation NHS Trust, Manchester, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester, UK
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16
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Chowanadisai W, Hart MD, Strong MD, Graham DM, Rucker RB, Smith BJ, Keen CL, Messerli MA. Genetic and Genomic Advances in Developmental Models: Applications for Nutrition Research. Adv Nutr 2020; 11:971-978. [PMID: 32135011 PMCID: PMC7360451 DOI: 10.1093/advances/nmaa022] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 10/22/2019] [Accepted: 02/13/2020] [Indexed: 12/11/2022] Open
Abstract
There is increasing appreciation that dietary components influence and interact with genes important to metabolism. How such influences impact developmental regulation and programming or risks of chronic diseases remains unclear. Nutrition is recognized to affect development and chronic diseases, but our understanding about how genes essential to nutrient metabolism regulate development and impact risks of these diseases remains unclear. Historically, mammalian models, especially rodents such as rats and mice, have been the primary models used for nutrition and developmental nutrition science, although their complexity and relatively slow rate of development often compromise rapid progress in resolving fundamental, genetic-related questions. Accordingly, the objective of this review is to highlight the opportunities for developmental models in the context of uncovering the function of gene products that are relevant to human nutrition and provide the scientific bases for these opportunities. We present recent studies in zebrafish related to obesity as applications of developmental models in nutritional science. Although the control of external factors and dependent variables, such as nutrition, can be a challenge, suggestions for standardizations related to diet are made to improve consistency in findings between laboratories. The review also highlights the need for standardized diets across different developmental models, which could improve consistency in findings across laboratories. Alternative and developmental animal models have advantages and largely untapped potential for the advancement of nutrigenomics and nutritionally relevant research areas.
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Affiliation(s)
| | - Matthew D Hart
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, USA
| | - Morgan D Strong
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, USA
| | - David M Graham
- Department of Biology, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA
| | - Robert B Rucker
- Department of Nutrition, University of California, Davis, Davis, CA, USA
| | - Brenda J Smith
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, USA
| | - Carl L Keen
- Department of Nutrition, University of California, Davis, Davis, CA, USA
| | - Mark A Messerli
- Department of Biology and Microbiology, South Dakota State University, Brookings, SD, USA
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17
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Network Structure Analysis Identifying Key Genes of Autism and Its Mechanism. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2020; 2020:3753080. [PMID: 32273901 PMCID: PMC7125446 DOI: 10.1155/2020/3753080] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 11/04/2019] [Accepted: 02/22/2020] [Indexed: 01/16/2023]
Abstract
Identifying the key genes of autism is of great significance for understanding its pathogenesis and improving the clinical level of medicine. In this paper, we use the structural parameters (average degree) of gene correlation networks to identify genes related to autism and study its pathogenesis. Based on the gene expression profiles of 82 autistic patients (the experimental group, E) and 64 healthy persons (the control group, C) in NCBI database, spearman correlation networks are established, and their average degrees under different thresholds are analyzed. It is found that average degrees of C and E are basically separable at the full thresholds. This indicates that there is a clear difference between the network structures of C and E, and it also suggests that this difference is related to the mechanism of disease. By annotating and enrichment analysis of the first 20 genes (MD-Gs) with significant difference in the average degree, we find that they are significantly related to gland development, cardiovascular development, and embryogenesis of nervous system, which support the results in Alter et al.'s original research. In addition, FIGF and CSF3 may play an important role in the mechanism of autism.
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18
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Barone R, Gulisano M, Amore R, Domini C, Milana MC, Giglio S, Madia F, Mattina T, Casabona A, Fichera M, Rizzo R. Clinical correlates in children with autism spectrum disorder and CNVs: Systematic investigation in a clinical setting. Int J Dev Neurosci 2020; 80:276-286. [PMID: 32159884 DOI: 10.1002/jdn.10024] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Revised: 03/06/2020] [Accepted: 03/06/2020] [Indexed: 01/09/2023] Open
Abstract
Autism spectrum disorder (ASD) is associated with various molecular mechanisms including copy number variants (CNVs). We investigated possible associations between CNVs and ASD clinical correlates. We evaluated pertinent physical characteristics and phenotypic measures such as cognitive level, severity of ASD symptoms and comorbid conditions in ASD patients consecutively recruited over the study period. Children with causative (C-CNVs), non-causative (NC-CNVs) and without CNVs (W-CNVs) were compared. Out of 109 patients, 31 imbalances (16 duplications and 15 deletions) were detected in 25 subjects. Seven (6.4%) had C-CNVs and 18 (16.5%) had NC-CNVs. Paired post hoc comparisons with Bonferroni adjustment showed that dysmorphisms and microcephaly were significantly more frequent in the C-CNVs group. Patients with C-CNVs had more severe autistic core symptoms, while comorbid internalizing behavioral symptoms were more represented among participants with NC-CNVs. No significant differences were observed for distribution of macrocephaly, intellectual disability, epilepsy, isolated electroencephalogram abnormalities and studied neuroimaging characteristics among groups. Recurrent and rare C-CNVs highlighting genes relevant to neurodevelopment had a statistically higher occurrence in children with more severe ASD symptoms and further developmental abnormalities. This study documents the importance of measuring the physical and neurobehavioural correlates of ASD phenotypes to unravel the underlying molecular mechanisms in patient subgroups.
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Affiliation(s)
- Rita Barone
- Child Neuropsychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
- CNR-Institute for Polymers, Composites and Biomaterials IPCB, Catania, Italy
| | - Mariangela Gulisano
- Child Neuropsychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Renata Amore
- Child Neuropsychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Carla Domini
- Child Neuropsychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Maria Chiara Milana
- Child Neuropsychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Sabrina Giglio
- Medical Genetics Unit, Meyer Children's Hospital, University of Florence, Firenze, Italy
| | - Francesca Madia
- Laboratory of Neurogenetics and Neuroscience, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Teresa Mattina
- Department of Biomedical and Biotechnological Sciences, Medical Genetics, University of Catania, Catania, Italy
| | - Antonino Casabona
- Department of Biomedical and Biotechnological Sciences, Section of Physiology, University of Catania, Catania, Italy
| | - Marco Fichera
- Department of Biomedical and Biotechnological Sciences, Medical Genetics, University of Catania, Catania, Italy
- Oasi Research Institute-IRCCS, Troina, Italy
| | - Renata Rizzo
- Child Neuropsychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
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19
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Loid P, Mustila T, Mäkitie RE, Viljakainen H, Kämpe A, Tossavainen P, Lipsanen-Nyman M, Pekkinen M, Mäkitie O. Rare Variants in Genes Linked to Appetite Control and Hypothalamic Development in Early-Onset Severe Obesity. Front Endocrinol (Lausanne) 2020; 11:81. [PMID: 32153512 PMCID: PMC7047210 DOI: 10.3389/fendo.2020.00081] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Accepted: 02/07/2020] [Indexed: 12/11/2022] Open
Abstract
Context: The hypothalamic circuit has an essential role in the regulation of appetite and energy expenditure. Pathogenic variants in genes involved in the hypothalamic leptin-melanocortin pathway, including melanocortin-4-receptor (MC4R), have been associated with monogenic obesity. Objective: To determine the rate and spectrum of rare variants in genes involved in melanocortin pathway or hypothalamic development in patients with severe early-onset obesity (height-adjusted weight >60% before age 10 years). Methods: We used a custom-made targeted exome sequencing panel to assess peripheral blood DNA samples for rare (minor allele frequency <0.5%), pathogenic/likely pathogenic variants in 24 genes related to the hypothalamic circuit in 92 subjects (51% males, median age 13.7 years) with early-onset severe obesity (median body mass index (BMI) Z-score + 4.0). Results: We identified a novel frameshift deletion in MC4R (p.V103Afs5*) in two unrelated patients and a previously reported MC4R variant (p.T112M) in one patient. In addition, we identified rare heterozygous missense variants in ADCY3 (p.G1110R), MYT1L (p.R807Q), ISL1 (p.I347F), LRP2 (p.R2479I, and p.N3315S) and a hemizygous missense variant in GRPR (p.L87M) (each in one patient), possibly contributing to the obesity phenotype in these patients. Altogether 8 % (7/92) of the subjects had rare pathogenic/likely pathogenic variants in the studied genes. Conclusions: Rare genetic variants within the hypothalamic circuit are prevalent and contribute to the development of severe early-onset obesity. Targeted exome sequencing is useful in identifying affected subjects. Further studies are needed to evaluate the variants' clinical significance and to define optimal treatment.
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Affiliation(s)
- Petra Loid
- Children's Hospital, Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Genetics Research Program, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- *Correspondence: Petra Loid
| | - Taina Mustila
- Department of Pediatrics, Seinäjoki Central Hospital, Seinäjoki, Finland
- City of Turku, Welfare Division, Preventive Healthcare, Turku, Finland
| | - Riikka E. Mäkitie
- Folkhälsan Research Center, Genetics Research Program, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Molecular Endocrinology Laboratory, Department of Medicine, Hammersmith Campus, Imperial College London, London, United Kingdom
| | - Heli Viljakainen
- Folkhälsan Research Center, Genetics Research Program, Helsinki, Finland
- The Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Anders Kämpe
- Department of Molecular Medicine and Surgery, Karolinska Institutet, and Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Päivi Tossavainen
- Department of Children and Adolescents, PEDEGO Research Unit, University of Oulu, Oulu, Finland
| | - Marita Lipsanen-Nyman
- Children's Hospital, Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Minna Pekkinen
- Children's Hospital, Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Genetics Research Program, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Outi Mäkitie
- Children's Hospital, Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Genetics Research Program, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Molecular Medicine and Surgery, Karolinska Institutet, and Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
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20
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Snijders Blok L, Kleefstra T, Venselaar H, Maas S, Kroes HY, Lachmeijer AMA, van Gassen KLI, Firth HV, Tomkins S, Bodek S, Õunap K, Wojcik MH, Cunniff C, Bergstrom K, Powis Z, Tang S, Shinde DN, Au C, Iglesias AD, Izumi K, Leonard J, Abou Tayoun A, Baker SW, Tartaglia M, Niceta M, Dentici ML, Okamoto N, Miyake N, Matsumoto N, Vitobello A, Faivre L, Philippe C, Gilissen C, Wiel L, Pfundt R, Deriziotis P, Brunner HG, Fisher SE. De Novo Variants Disturbing the Transactivation Capacity of POU3F3 Cause a Characteristic Neurodevelopmental Disorder. Am J Hum Genet 2019; 105:403-412. [PMID: 31303265 PMCID: PMC6698880 DOI: 10.1016/j.ajhg.2019.06.007] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Accepted: 06/07/2019] [Indexed: 01/22/2023] Open
Abstract
POU3F3, also referred to as Brain-1, is a well-known transcription factor involved in the development of the central nervous system, but it has not previously been associated with a neurodevelopmental disorder. Here, we report the identification of 19 individuals with heterozygous POU3F3 disruptions, most of which are de novo variants. All individuals had developmental delays and/or intellectual disability and impairments in speech and language skills. Thirteen individuals had characteristic low-set, prominent, and/or cupped ears. Brain abnormalities were observed in seven of eleven MRI reports. POU3F3 is an intronless gene, insensitive to nonsense-mediated decay, and 13 individuals carried protein-truncating variants. All truncating variants that we tested in cellular models led to aberrant subcellular localization of the encoded protein. Luciferase assays demonstrated negative effects of these alleles on transcriptional activation of a reporter with a FOXP2-derived binding motif. In addition to the loss-of-function variants, five individuals had missense variants that clustered at specific positions within the functional domains, and one small in-frame deletion was identified. Two missense variants showed reduced transactivation capacity in our assays, whereas one variant displayed gain-of-function effects, suggesting a distinct pathophysiological mechanism. In bioluminescence resonance energy transfer (BRET) interaction assays, all the truncated POU3F3 versions that we tested had significantly impaired dimerization capacities, whereas all missense variants showed unaffected dimerization with wild-type POU3F3. Taken together, our identification and functional cell-based analyses of pathogenic variants in POU3F3, coupled with a clinical characterization, implicate disruptions of this gene in a characteristic neurodevelopmental disorder.
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Affiliation(s)
- Lot Snijders Blok
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands; Language and Genetics Department, Max Planck Institute for Psycholinguistics, PO Box 310, 6500AH Nijmegen, the Netherlands; Donders Institute for Brain, Cognition, and Behaviour, PO Box 9104, 6500HE Nijmegen, the Netherlands.
| | - Tjitske Kleefstra
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands; Donders Institute for Brain, Cognition, and Behaviour, PO Box 9104, 6500HE Nijmegen, the Netherlands
| | - Hanka Venselaar
- Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands
| | - Saskia Maas
- Amsterdam University Medical Center, University of Amsterdam, Department of Clinical Genetics, Meibergdreef 9, 1105AZ Amsterdam, the Netherlands
| | - Hester Y Kroes
- Department of Genetics, University Medical Center Utrecht, PO Box 85090, 3508AB Utrecht, the Netherlands
| | - Augusta M A Lachmeijer
- Department of Genetics, University Medical Center Utrecht, PO Box 85090, 3508AB Utrecht, the Netherlands
| | - Koen L I van Gassen
- Department of Genetics, University Medical Center Utrecht, PO Box 85090, 3508AB Utrecht, the Netherlands
| | - Helen V Firth
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Susan Tomkins
- Clinical Genetics Service, University Hospitals Bristol National Health Service Foundation Trust, Bristol BS2 8HW, UK
| | - Simon Bodek
- Clinical Genetics Service, University Hospitals Bristol National Health Service Foundation Trust, Bristol BS2 8HW, UK
| | - Katrin Õunap
- Department of Clinical Genetics, United Laboratories, Tartu University Hospital and Institute of Clinical Medicine, University of Tartu, Tartu 51014, Estonia; Institute of Clinical Medicine, University of Tartu, Tartu 51014, Estonia
| | - Monica H Wojcik
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Newborn Medicine, Division of Genetics, Boston Children's Hospital, Boston, MA 02115, USA
| | - Christopher Cunniff
- Division of Medical Genetics, Department of Pediatrics, Weill Cornell Medicine, New York, NY 10021, USA
| | - Katherine Bergstrom
- Division of Medical Genetics, Department of Pediatrics, Weill Cornell Medicine, New York, NY 10021, USA
| | - Zoë Powis
- Clinical Genomics, Ambry Genetics, Aliso Viejo, CA 92656, USA
| | - Sha Tang
- Clinical Genomics, Ambry Genetics, Aliso Viejo, CA 92656, USA
| | | | - Catherine Au
- Division of Clinical Genetics, Department of Pediatrics, New York Presbyterian Hospital, Columbia University, New York, NY 10032, USA
| | - Alejandro D Iglesias
- Division of Clinical Genetics, Department of Pediatrics, New York Presbyterian Hospital, Columbia University, New York, NY 10032, USA
| | - Kosuke Izumi
- Division of Human Genetics, the Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jacqueline Leonard
- Division of Human Genetics, the Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Ahmad Abou Tayoun
- Division of Genomic Diagnostics, the Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Samuel W Baker
- Division of Genomic Diagnostics, the Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Marco Tartaglia
- Genetics and Rare Diseases Research Division, Bambino Gesù Children Hospital, Istituto di Ricovero e Cura a Carattere Scientifico, 00146 Rome, Italy
| | - Marcello Niceta
- Genetics and Rare Diseases Research Division, Bambino Gesù Children Hospital, Istituto di Ricovero e Cura a Carattere Scientifico, 00146 Rome, Italy
| | - Maria Lisa Dentici
- Genetics and Rare Diseases Research Division, Bambino Gesù Children Hospital, Istituto di Ricovero e Cura a Carattere Scientifico, 00146 Rome, Italy
| | - Nobuhiko Okamoto
- Department of Medical Genetics, Osaka Women's and Children's Hospital, 840 Murodo-cho, Izumi, Osaka 594-1101, Japan
| | - Noriko Miyake
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Naomichi Matsumoto
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Antonio Vitobello
- UF Innovation en Diagnostic Génomique des Maladies Rares, Centre Hospitalier Universitaire Dijon Bourgogne, 21000 Dijon, France; INSERM UMR1231 Génétique des Anomalies du Développement, F-21000 Dijon, France
| | - Laurence Faivre
- INSERM UMR1231 Génétique des Anomalies du Développement, F-21000 Dijon, France; Centre de Référence Maladies Rares « Anomalies du Développement et Syndrome Malformatifs » de l'Est, Centre de Génétique, Hôpital d'Enfants, Fédération Hospitalo-Universitaire Médecine TRANSLationnelle et Anomalies du Développement, Centre Hospitalier Universitaire Dijon Bourgogne, 21000 Dijon, France
| | - Christophe Philippe
- UF Innovation en Diagnostic Génomique des Maladies Rares, Centre Hospitalier Universitaire Dijon Bourgogne, 21000 Dijon, France; INSERM UMR1231 Génétique des Anomalies du Développement, F-21000 Dijon, France
| | - Christian Gilissen
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands
| | - Laurens Wiel
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands; Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands
| | - Rolph Pfundt
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands
| | - Pelagia Deriziotis
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, PO Box 310, 6500AH Nijmegen, the Netherlands
| | - Han G Brunner
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands; Donders Institute for Brain, Cognition, and Behaviour, PO Box 9104, 6500HE Nijmegen, the Netherlands; Department of Clinical Genetics and GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202AZ Maastricht, the Netherlands
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, PO Box 310, 6500AH Nijmegen, the Netherlands; Donders Institute for Brain, Cognition, and Behaviour, PO Box 9104, 6500HE Nijmegen, the Netherlands.
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21
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Prata DP, Costa-Neves B, Cosme G, Vassos E. Unravelling the genetic basis of schizophrenia and bipolar disorder with GWAS: A systematic review. J Psychiatr Res 2019; 114:178-207. [PMID: 31096178 DOI: 10.1016/j.jpsychires.2019.04.007] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2018] [Revised: 04/08/2019] [Accepted: 04/10/2019] [Indexed: 01/02/2023]
Abstract
OBJECTIVES To systematically review findings of GWAS in schizophrenia (SZ) and in bipolar disorder (BD); and to interpret findings, with a focus on identifying independent replications. METHOD PubMed search, selection and review of all independent GWAS in SZ or BD, published since March 2011, i.e. studies using non-overlapping samples within each article, between articles, and with those of the previous review (Li et al., 2012). RESULTS From the 22 GWAS included in this review, the genetic associations surviving standard GWAS-significance were for genetic markers in the regions of ACSL3/KCNE4, ADCY2, AMBRA1, ANK3, BRP44, DTL, FBLN1, HHAT, INTS7, LOC392301, LOC645434/NMBR, LOC729457, LRRFIP1, LSM1, MDM1, MHC, MIR2113/POU3F2, NDST3, NKAPL, ODZ4, PGBD1, RENBP, TRANK1, TSPAN18, TWIST2, UGT1A1/HJURP, WHSC1L1/FGFR1 and ZKSCAN4. All genes implicated across both reviews are discussed in terms of their function and implication in neuropsychiatry. CONCLUSION Taking all GWAS to date into account, AMBRA1, ANK3, ARNTL, CDH13, EFHD1 (albeit with different alleles), MHC, PLXNA2 and UGT1A1 have been implicated in either disorder in at least two reportedly non-overlapping samples. Additionally, evidence for a SZ/BD common genetic basis is most strongly supported by the implication of ANK3, NDST3, and PLXNA2.
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Affiliation(s)
- Diana P Prata
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Portugal; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, SE5 8AF, UK; Instituto Universitário de Lisboa (ISCTE-IUL), Centro de Investigação e Intervenção Social, Lisboa, Portugal.
| | - Bernardo Costa-Neves
- Lisbon Medical School, University of Lisbon, Av. Professor Egas Moniz, 1649-028, Lisbon, Portugal; Centro Hospitalar Psiquiátrico de Lisboa, Av. do Brasil, 53 1749-002, Lisbon, Portugal
| | - Gonçalo Cosme
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Portugal
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, 16 De Crespigny Park, SE5 8AF, UK
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22
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Aristidou C, Theodosiou A, Ketoni A, Bak M, Mehrjouy MM, Tommerup N, Sismani C. Cryptic breakpoint identified by whole-genome mate-pair sequencing in a rare paternally inherited complex chromosomal rearrangement. Mol Cytogenet 2018; 11:34. [PMID: 29930709 PMCID: PMC5991433 DOI: 10.1186/s13039-018-0384-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 05/15/2018] [Indexed: 11/21/2022] Open
Abstract
Background Precise characterization of apparently balanced complex chromosomal rearrangements in non-affected individuals is crucial as they may result in reproductive failure, recurrent miscarriages or affected offspring. Case presentation We present a family, where the non-affected father and daughter were found, using FISH and karyotyping, to be carriers of a three-way complex chromosomal rearrangement [t(6;7;10)(q16.2;q34;q26.1), de novo in the father]. The family suffered from two stillbirths, one miscarriage, and has a son with severe intellectual disability. In the present study, the family was revisited using whole-genome mate-pair sequencing. Interestingly, whole-genome mate-pair sequencing revealed a cryptic breakpoint on derivative (der) chromosome 6 rendering the rearrangement even more complex. FISH using a chromosome (chr) 6 custom-designed probe and a chr10 control probe confirmed that the interstitial chr6 segment, created by the two chr6 breakpoints, was translocated onto der(10). Breakpoints were successfully validated with Sanger sequencing, and small imbalances as well as microhomology were identified. Finally, the complex chromosomal rearrangement breakpoints disrupted the SIM1, GRIK2, CNTNAP2, and PTPRE genes without causing any phenotype development. Conclusions In contrast to the majority of maternally transmitted complex chromosomal rearrangement cases, our study investigated a rare case where a complex chromosomal rearrangement, which most probably resulted from a Type IV hexavalent during the pachytene stage of meiosis I, was stably transmitted from a fertile father to his non-affected daughter. Whole-genome mate-pair sequencing proved highly successful in identifying cryptic complexity, which consequently provided further insight into the meiotic segregation of chromosomes and the increased reproductive risk in individuals carrying the specific complex chromosomal rearrangement. We propose that such complex rearrangements should be characterized in detail using a combination of conventional cytogenetic and NGS-based approaches to aid in better prenatal preimplantation genetic diagnosis and counseling in couples with reproductive problems.
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Affiliation(s)
- Constantia Aristidou
- 1Department of Cytogenetics and Genomics, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.,2The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Athina Theodosiou
- 1Department of Cytogenetics and Genomics, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Andria Ketoni
- 1Department of Cytogenetics and Genomics, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Mads Bak
- 3Wilhelm Johannsen Centre for Functional Genome Research, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Mana M Mehrjouy
- 3Wilhelm Johannsen Centre for Functional Genome Research, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Niels Tommerup
- 3Wilhelm Johannsen Centre for Functional Genome Research, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Carolina Sismani
- 1Department of Cytogenetics and Genomics, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.,2The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
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23
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Geets E, Meuwissen MEC, Van Hul W. Clinical, molecular genetics and therapeutic aspects of syndromic obesity. Clin Genet 2018; 95:23-40. [PMID: 29700824 DOI: 10.1111/cge.13367] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 04/05/2018] [Accepted: 04/16/2018] [Indexed: 12/13/2022]
Abstract
Obesity has become a major health problem worldwide. To date, more than 25 different syndromic forms of obesity are known in which one (monogenic) or multiple (polygenic) genes are involved. This review gives an overview of these forms and focuses more in detail on 6 syndromes: Prader Willi Syndrome and Prader Willi like phenotype, Bardet Biedl Syndrome, Alström Syndrome, Wilms tumor, Aniridia, Genitourinary malformations and mental Retardation syndrome and 16p11.2 (micro)deletions. Years of research provided plenty of information on the molecular genetics of these disorders and the obesity phenotype leading to a more individualized treatment of the symptoms, however, many questions still remain unanswered. As these obesity syndromes have different signs and symptoms in common, it makes it difficult to accurately diagnose patients which may result in inappropriate treatment of the disease. Therefore, the big challenge for clinicians and scientists is to more clearly differentiate all syndromic forms of obesity to provide conclusive genetic explanations and eventually deliver accurate genetic counseling and treatment. In addition, further delineation of the (functions of the) underlying genes with the use of array- or next-generation sequencing-based technology will be helpful to unravel the mechanisms of energy metabolism in the general population.
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Affiliation(s)
- E Geets
- Department of Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - M E C Meuwissen
- Department of Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - W Van Hul
- Department of Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
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24
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Abstract
Transcriptional control of oxytocinergic cell development influences social, sexual, and appetite related behaviors and is implicated in disorders such as autism and Prader-Willi syndrome. Mediator 12 (Med12) is a transcriptional coactivator required for multiple facets of brain development including subsets of serotonergic and dopaminergic neurons. We surveyed hormone gene expression within the hypothalamo-pituitary axis of med12 mutant zebrafish embryos with a focus on oxytocin (oxt) expression. Some transcripts, such as oxt, vasopressin (avp) and corticotrophin releasing hormone (crh) are undetectable in the med12 mutant, while others are upregulated or downregulated to varying degrees. In med12 mutants, the expression patterns of upstream transcriptional regulators of oxytocinergic cell development remain largely intact in the pre-optic area, suggesting a more direct influence of Med12 on oxt expression. We show that Med12 is required for Wnt signaling in zebrafish. However, oxt expression is unaffected in Wnt-inhibited embryos indicating independence of Wnt signaling. In fact, overactive Wnt signaling inhibits oxt expression, and we identify a Wnt-sensitive period starting at 24 h post fertilization (hpf). Thus, Med12 and repression of Wnt signaling display critical but unrelated roles in regulating oxt expression. Summary: Mediator 12, a transcriptional coactivator, greatly enhances Wnt signaling in the developing embryo. Separate from its role in Wnt signaling, Mediator 12 is required for oxytocin expression.
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Affiliation(s)
- Emma D Spikol
- Department of Oncology, Georgetown University, 4000 Reservoir Rd., Washington, DC 20057, USA
| | - Eric Glasgow
- Department of Oncology, Georgetown University, 4000 Reservoir Rd., Washington, DC 20057, USA
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25
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D’Angelo CS, Varela MC, de Castro CIE, Otto PA, Perez ABA, Lourenço CM, Kim CA, Bertola DR, Kok F, Garcia-Alonso L, Koiffmann CP. Chromosomal microarray analysis in the genetic evaluation of 279 patients with syndromic obesity. Mol Cytogenet 2018; 11:14. [PMID: 29441128 PMCID: PMC5800070 DOI: 10.1186/s13039-018-0363-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Accepted: 01/22/2018] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Syndromic obesity is an umbrella term used to describe cases where obesity occurs with additional phenotypes. It often arises as part of a distinct genetic syndrome with Prader-Willi syndrome being a classical example. These rare forms of obesity provide a unique source for identifying obesity-related genetic changes. Chromosomal microarray analysis (CMA) has allowed the characterization of new genetic forms of syndromic obesity, which are due to copy number variants (CNVs); however, CMA in large cohorts requires more study. The aim of this study was to characterize the CNVs detected by CMA in 279 patients with a syndromic obesity phenotype. RESULTS Pathogenic CNVs were detected in 61 patients (22%) and, among them, 35 had overlapping/recurrent CNVs. Genomic imbalance disorders known to cause syndromic obesity were found in 8.2% of cases, most commonly deletions of 1p36, 2q37 and 17p11.2 (5.4%), and we also detected deletions at 1p21.3, 2p25.3, 6q16, 9q34, 16p11.2 distal and proximal, as well as an unbalanced translocation resulting in duplication of the GNB3 gene responsible for a syndromic for of childhood obesity. Deletions of 9p terminal and 22q11.2 proximal/distal were found in 1% and 3% of cases, respectively. They thus emerge as being new putative obesity-susceptibility loci. We found additional CNVs in our study that overlapped with CNVs previously reported in cases of syndromic obesity, including a new case of 13q34 deletion (CHAMP1), bringing to 7 the number of patients in whom such defects have been described in association with obesity. Our findings implicate many genes previously associated with obesity (e.g. PTBP2, TMEM18, MYT1L, POU3F2, SIM1, SH2B1), and also identified other potentially relevant candidates including TAS1R3, ALOX5AP, and GAS6. CONCLUSION Understanding the genetics of obesity has proven difficult, and considerable insight has been obtained from the study of genomic disorders with obesity associated as part of the phenotype. In our study, CNVs known to be causal for syndromic obesity were detected in 8.2% of patients, but we provide evidence for a genetic basis of obesity in as many as 14% of cases. Overall, our results underscore the genetic heterogeneity in syndromic forms of obesity, which imposes a substantial challenge for diagnosis.
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Affiliation(s)
- Carla Sustek D’Angelo
- Human Genome and Stem Cell Research Center (HUG-CELL), Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of Sao Paulo, Rua do Matao no 277, Cidade Universitaria-Butanta, Sao Paulo, SP 05508-090 Brazil
| | - Monica Castro Varela
- Human Genome and Stem Cell Research Center (HUG-CELL), Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of Sao Paulo, Rua do Matao no 277, Cidade Universitaria-Butanta, Sao Paulo, SP 05508-090 Brazil
| | - Claudia Irene Emílio de Castro
- Human Genome and Stem Cell Research Center (HUG-CELL), Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of Sao Paulo, Rua do Matao no 277, Cidade Universitaria-Butanta, Sao Paulo, SP 05508-090 Brazil
| | - Paulo Alberto Otto
- Human Genome and Stem Cell Research Center (HUG-CELL), Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of Sao Paulo, Rua do Matao no 277, Cidade Universitaria-Butanta, Sao Paulo, SP 05508-090 Brazil
| | - Ana Beatriz Alvarez Perez
- Department of Morphology and Genetics, Paulista School of Medicine, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP Brazil
| | - Charles Marques Lourenço
- Neurogenetics Unit, Clinics Hospital of Ribeirao Preto, Faculty of Medicine, University of Sao Paulo, FMRP-USP, Ribeirao Preto, SP Brazil
| | - Chong Ae Kim
- Genetic Unit, Children’s Institute, Faculty of Medicine, University of Sao Paulo, FMUSP, Sao Paulo, SP Brazil
| | - Debora Romeo Bertola
- Genetic Unit, Children’s Institute, Faculty of Medicine, University of Sao Paulo, FMUSP, Sao Paulo, SP Brazil
| | - Fernando Kok
- Department of Neurology, Faculty of Medicine, University of Sao Paulo, FMUSP, Sao Paulo, SP Brazil
| | - Luis Garcia-Alonso
- Department of Morphology and Genetics, Paulista School of Medicine, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP Brazil
| | - Celia Priszkulnik Koiffmann
- Human Genome and Stem Cell Research Center (HUG-CELL), Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of Sao Paulo, Rua do Matao no 277, Cidade Universitaria-Butanta, Sao Paulo, SP 05508-090 Brazil
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Histone Lysine Methylases and Demethylases in the Landscape of Human Developmental Disorders. Am J Hum Genet 2018; 102:175-187. [PMID: 29276005 DOI: 10.1016/j.ajhg.2017.11.013] [Citation(s) in RCA: 161] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Accepted: 11/17/2017] [Indexed: 11/23/2022] Open
Abstract
Histone lysine methyltransferases (KMTs) and demethylases (KDMs) underpin gene regulation. Here we demonstrate that variants causing haploinsufficiency of KMTs and KDMs are frequently encountered in individuals with developmental disorders. Using a combination of human variation databases and existing animal models, we determine 22 KMTs and KDMs as additional candidates for dominantly inherited developmental disorders. We show that KMTs and KDMs that are associated with, or are candidates for, dominant developmental disorders tend to have a higher level of transcription, longer canonical transcripts, more interactors, and a higher number and more types of post-translational modifications than other KMT and KDMs. We provide evidence to firmly associate KMT2C, ASH1L, and KMT5B haploinsufficiency with dominant developmental disorders. Whereas KMT2C or ASH1L haploinsufficiency results in a predominantly neurodevelopmental phenotype with occasional physical anomalies, KMT5B mutations cause an overgrowth syndrome with intellectual disability. We further expand the phenotypic spectrum of KMT2B-related disorders and show that some individuals can have severe developmental delay without dystonia at least until mid-childhood. Additionally, we describe a recessive histone lysine-methylation defect caused by homozygous or compound heterozygous KDM5B variants and resulting in a recognizable syndrome with developmental delay, facial dysmorphism, and camptodactyly. Collectively, these results emphasize the significance of histone lysine methylation in normal human development and the importance of this process in human developmental disorders. Our results demonstrate that systematic clinically oriented pathway-based analysis of genomic data can accelerate the discovery of rare genetic disorders.
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Cuvertino S, Stuart HM, Chandler KE, Roberts NA, Armstrong R, Bernardini L, Bhaskar S, Callewaert B, Clayton-Smith J, Davalillo CH, Deshpande C, Devriendt K, Digilio MC, Dixit A, Edwards M, Friedman JM, Gonzalez-Meneses A, Joss S, Kerr B, Lampe AK, Langlois S, Lennon R, Loget P, Ma DY, McGowan R, Des Medt M, O’Sullivan J, Odent S, Parker MJ, Pebrel-Richard C, Petit F, Stark Z, Stockler-Ipsiroglu S, Tinschert S, Vasudevan P, Villa O, White SM, Zahir FR, Woolf AS, Banka S, Banka S. ACTB Loss-of-Function Mutations Result in a Pleiotropic Developmental Disorder. Am J Hum Genet 2017; 101:1021-1033. [PMID: 29220674 PMCID: PMC5812896 DOI: 10.1016/j.ajhg.2017.11.006] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 11/13/2017] [Indexed: 10/31/2022] Open
Abstract
ACTB encodes β-actin, an abundant cytoskeletal housekeeping protein. In humans, postulated gain-of-function missense mutations cause Baraitser-Winter syndrome (BRWS), characterized by intellectual disability, cortical malformations, coloboma, sensorineural deafness, and typical facial features. To date, the consequences of loss-of-function ACTB mutations have not been proven conclusively. We describe heterozygous ACTB deletions and nonsense and frameshift mutations in 33 individuals with developmental delay, apparent intellectual disability, increased frequency of internal organ malformations (including those of the heart and the renal tract), growth retardation, and a recognizable facial gestalt (interrupted wavy eyebrows, dense eyelashes, wide nose, wide mouth, and a prominent chin) that is distinct from characteristics of individuals with BRWS. Strikingly, this spectrum overlaps with that of several chromatin-remodeling developmental disorders. In wild-type mouse embryos, β-actin expression was prominent in the kidney, heart, and brain. ACTB mRNA expression levels in lymphoblastic lines and fibroblasts derived from affected individuals were decreased in comparison to those in control cells. Fibroblasts derived from an affected individual and ACTB siRNA knockdown in wild-type fibroblasts showed altered cell shape and migration, consistent with known roles of cytoplasmic β-actin. We also demonstrate that ACTB haploinsufficiency leads to reduced cell proliferation, altered expression of cell-cycle genes, and decreased amounts of nuclear, but not cytoplasmic, β-actin. In conclusion, we show that heterozygous loss-of-function ACTB mutations cause a distinct pleiotropic malformation syndrome with intellectual disability. Our biological studies suggest that a critically reduced amount of this protein alters cell shape, migration, proliferation, and gene expression to the detriment of brain, heart, and kidney development.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Siddharth Banka
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine, and Health, The University of Manchester, M13 9PL Manchester, UK; Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University Foundation NHS Trust, Health Innovation Manchester, M13 9WL Manchester, UK.
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Qiu JJ, Liu YN, Ren ZR, Yan JB. Dysfunctions of mitochondria in close association with strong perturbation of long noncoding RNAs expression in down syndrome. Int J Biochem Cell Biol 2017; 92:115-120. [DOI: 10.1016/j.biocel.2017.09.017] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2016] [Revised: 08/23/2017] [Accepted: 09/23/2017] [Indexed: 01/07/2023]
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MYT1L mutations cause intellectual disability and variable obesity by dysregulating gene expression and development of the neuroendocrine hypothalamus. PLoS Genet 2017; 13:e1006957. [PMID: 28859103 PMCID: PMC5597252 DOI: 10.1371/journal.pgen.1006957] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 09/13/2017] [Accepted: 08/04/2017] [Indexed: 12/21/2022] Open
Abstract
Deletions at chromosome 2p25.3 are associated with a syndrome consisting of intellectual disability and obesity. The smallest region of overlap for deletions at 2p25.3 contains PXDN and MYT1L. MYT1L is expressed only within the brain in humans. We hypothesized that single nucleotide variants (SNVs) in MYT1L would cause a phenotype resembling deletion at 2p25.3. To examine this we sought MYT1L SNVs in exome sequencing data from 4, 296 parent-child trios. Further variants were identified through a genematcher-facilitated collaboration. We report 9 patients with MYT1L SNVs (4 loss of function and 5 missense). The phenotype of SNV carriers overlapped with that of 2p25.3 deletion carriers. To identify the transcriptomic consequences of MYT1L loss of function we used CRISPR-Cas9 to create a knockout cell line. Gene Ontology analysis in knockout cells demonstrated altered expression of genes that regulate gene expression and that are localized to the nucleus. These differentially expressed genes were enriched for OMIM disease ontology terms "mental retardation". To study the developmental effects of MYT1L loss of function we created a zebrafish knockdown using morpholinos. Knockdown zebrafish manifested loss of oxytocin expression in the preoptic neuroendocrine area. This study demonstrates that MYT1L variants are associated with syndromic obesity in humans. The mechanism is related to dysregulated expression of neurodevelopmental genes and altered development of the neuroendocrine hypothalamus.
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Strunk D, Weber P, Röthlisberger B, Filges I. Autism and intellectual disability in a patient with two microdeletions in 6q16: a contiguous gene deletion syndrome? Mol Cytogenet 2016; 9:88. [PMID: 27980676 PMCID: PMC5135825 DOI: 10.1186/s13039-016-0299-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Accepted: 11/21/2016] [Indexed: 01/19/2023] Open
Abstract
Background Copy number variations play a significant role in the aetiology of developmental disabilities including non-syndromic intellectual disability and autism. Case presentation We describe a 19-year old patient with intellectual disability and autism for whom chromosomal microarray (CMA) analysis showed the unusual finding of two de novo microdeletions in cis position on chromosome 6q16.1q16.2 and 6q16.3. The two deletions span 10 genes, including FBXL4, POU3F2, PRDM13, CCNC, COQ3 and GRIK2. We compared phenotypes of patients with similar deletions and looked at the involvement of the genes in neuronal networks in order to determine the pathogenicity of our patient’s deletions. Conclusions We suggest that both deletions on 6q are causing his disease phenotype since they harbour several genes which are implicated in pathways of neuronal development and function. Further studies regarding the interaction between PRDM13 and GRIK2 specifically may be interesting.
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Affiliation(s)
- Daniela Strunk
- Medical Genetics, University Hospital Basel, Schönbeinstrasse 40, CH-4031 Basel, Switzerland
| | - Peter Weber
- Division of Neuropediatrics and Developmental Pediatrics, University Children's Hospital, Spitalstrasse 33, CH-4056 Basel, Switzerland
| | - Benno Röthlisberger
- Medical Genetics, Department of Laboratory Medicine, Cantonal Hospital Aarau, Tellstrasse, CH-5001 Aarau, Switzerland
| | - Isabel Filges
- Medical Genetics, University Hospital Basel and University of Basel, Schönbeinstrasse 40, CH-4031 Basel, Switzerland
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Cheon CK. Genetics of Prader-Willi syndrome and Prader-Will-Like syndrome. Ann Pediatr Endocrinol Metab 2016; 21:126-135. [PMID: 27777904 PMCID: PMC5073158 DOI: 10.6065/apem.2016.21.3.126] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Accepted: 09/30/2016] [Indexed: 11/29/2022] Open
Abstract
The Prader-Willi syndrome (PWS) is a human imprinting disorder resulting from genomic alterations that inactivate imprinted, paternally expressed genes in human chromosome region 15q11-q13. This genetic condition appears to be a contiguous gene syndrome caused by the loss of at least 2 of a number of genes expressed exclusively from the paternal allele, including SNRPN, MKRN3, MAGEL2, NDN and several snoRNAs, but it is not yet well known which specific genes in this region are associated with this syndrome. Prader-Will-Like syndrome (PWLS) share features of the PWS phenotype and the gene functions disrupted in PWLS are likely to lie in genetic pathways that are important for the development of PWS phenotype. However, the genetic basis of these rare disorders differs and the absence of a correct diagnosis may worsen the prognosis of these individuals due to the endocrine-metabolic malfunctioning associated with the PWS. Therefore, clinicians face a challenge in determining when to request the specific molecular test used to identify patients with classical PWS because the signs and symptoms of PWS are common to other syndromes such as PWLS. This review aims to provide an overview of current knowledge relating to the genetics of PWS and PWLS, with an emphasis on identification of patients that may benefit from further investigation and genetic screening.
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Affiliation(s)
- Chong Kun Cheon
- Division of Pediatric Endocrinology and Metabolism, Department of Pediatrics, Pusan National University Children's Hospital, Pusan National University School of Medicine, Yangsan, Korea
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Spikol ED, Laverriere CE, Robnett M, Carter G, Wolfe E, Glasgow E. Zebrafish Models of Prader-Willi Syndrome: Fast Track to Pharmacotherapeutics. Diseases 2016; 4. [PMID: 27857842 PMCID: PMC5110251 DOI: 10.3390/diseases4010013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Prader-Willi syndrome (PWS) is a rare genetic neurodevelopmental disorder characterized by an insatiable appetite, leading to chronic overeating and obesity. Additional features include short stature, intellectual disability, behavioral problems and incomplete sexual development. Although significant progress has been made in understanding the genetic basis of PWS, the mechanisms underlying the pathogenesis of the disorder remain poorly understood. Treatment for PWS consists mainly of palliative therapies; curative therapies are sorely needed. Zebrafish, Danio rerio, represent a promising way forward for elucidating physiological problems such as obesity and identifying new pharmacotherapeutic options for PWS. Over the last decade, an increased appreciation for the highly conserved biology among vertebrates and the ability to perform high-throughput drug screening has seen an explosion in the use of zebrafish for disease modeling and drug discovery. Here, we review recent advances in developing zebrafish models of human disease. Aspects of zebrafish genetics and physiology that are relevant to PWS will be discussed, and the advantages and disadvantages of zebrafish models will be contrasted with current animal models for this syndrome. Finally, we will present a paradigm for drug screening in zebrafish that is potentially the fastest route for identifying and delivering curative pharmacotherapies to PWS patients.
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