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Krenn M, Wagner M, Zulehner G, Weng R, Jäger F, Keritam O, Sener M, Brücke C, Milenkovic I, Langer A, Buchinger D, Habersam R, Mayerhanser K, Brugger M, Brunet T, Jacob M, Graf E, Berutti R, Cetin H, Hoefele J, Winkelmann J, Zimprich F, Rath J. Next-generation sequencing and comprehensive data reassessment in 263 adult patients with neuromuscular disorders: insights into the gray zone of molecular diagnoses. J Neurol 2024; 271:1937-1946. [PMID: 38127101 PMCID: PMC10972933 DOI: 10.1007/s00415-023-12101-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 11/03/2023] [Accepted: 11/04/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Neuromuscular disorders (NMDs) are heterogeneous conditions with a considerable fraction attributed to monogenic defects. Despite the advancements in genomic medicine, many patients remain without a diagnosis. Here, we investigate whether a comprehensive reassessment strategy improves the diagnostic outcomes. METHODS We analyzed 263 patients with NMD phenotypes that underwent diagnostic exome or genome sequencing at our tertiary referral center between 2015 and 2023. We applied a comprehensive reassessment encompassing variant reclassification, re-phenotyping and NGS data reanalysis. Multivariable logistic regression was performed to identify predictive factors associated with a molecular diagnosis. RESULTS Initially, a molecular diagnosis was identified in 53 cases (20%), while an additional 23 (9%) had findings of uncertain significance. Following comprehensive reassessment, the diagnostic yield increased to 23%, revealing 44 distinct monogenic etiologies. Reasons for newly obtained molecular diagnoses were variant reclassifications in 7 and NGS data reanalysis in 3 cases including one recently described disease-gene association (DNAJB4). Male sex reduced the odds of receiving a molecular diagnosis (OR 0.42; 95%CI 0.21-0.82), while a positive family history (OR 5.46; 95%CI 2.60-11.76) and a myopathy phenotype (OR 2.72; 95%CI 1.11-7.14) increased the likelihood. 7% were resolved through targeted genetic testing or classified as acquired etiologies. CONCLUSION Our findings reinforce the use of NGS in NMDs of suspected monogenic origin. We show that a comprehensive reassessment enhances diagnostic accuracy. However, one needs to be aware that genetic diagnoses are often made with uncertainty and can even be downgraded based on new evidence.
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Affiliation(s)
- Martin Krenn
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Matias Wagner
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
| | - Gudrun Zulehner
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Rosa Weng
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Fiona Jäger
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Omar Keritam
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Merve Sener
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Christof Brücke
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Ivan Milenkovic
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Agnes Langer
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Dominic Buchinger
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Richard Habersam
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Katharina Mayerhanser
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Melanie Brugger
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Theresa Brunet
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Department of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr. Von Hauner's Children's Hospital, University of Munich, Munich, Germany
| | - Maureen Jacob
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Elisabeth Graf
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Riccardo Berutti
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
| | - Hakan Cetin
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Julia Hoefele
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Juliane Winkelmann
- Institute of Human Genetics, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
| | - Fritz Zimprich
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Jakob Rath
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
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2
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Piñeros-Fernández MC, Morte B, García-Giménez JL. Utility of exome sequencing for the diagnosis of pediatric-onset neuromuscular diseases beyond diagnostic yield: a narrative review. Neurol Sci 2024; 45:1455-1464. [PMID: 37989827 PMCID: PMC10942921 DOI: 10.1007/s10072-023-07210-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 11/15/2023] [Indexed: 11/23/2023]
Abstract
Diagnosis of neuromuscular diseases (NMD) can be challenging because of the heterogeneity of this group of diseases. This review aimed to describe the diagnostic yield of whole exome sequencing (WES) for pediatric-onset neuromuscular disease diagnosis, as well as other benefits of this approach in patient management since WES can contribute to appropriate treatment selection in NMD patients. WES increases the possibility of reaching a conclusive genetic diagnosis when other technologies have failed and even exploring new genes not previously associated with a specific NMD. Moreover, this strategy can be useful when a dual diagnosis is suspected in complex congenital anomalies and undiagnosed cases.
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Affiliation(s)
- Martha Cecilia Piñeros-Fernández
- Servicio de Neurología Pediátrica, Hospital Pediátrico, Fundación Cardio Infantil-LaCardio, Bogotá, Colombia
- Unidad Pediátrica, Los Cobos Medical Center, Bogotá, Colombia
- Consulta Externa Especializada, Virrey Solís IPS, Bogotá, Colombia
| | - Beatriz Morte
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - José Luis García-Giménez
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.
- Instituto de Investigación Sanitaria INCLIVA, Valencia, Spain.
- Departamento de Fisiología, Facultad de Medicina y Odontología, Universitat de València, València, Spain.
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3
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Dratch L, Bardakjian TM, Johnson K, Babaian N, Gonzalez-Alegre P, Elman L, Quinn C, Guo MH, Scherer SS, Amado DA. The Importance of Offering Exome or Genome Sequencing in Adult Neuromuscular Clinics. BIOLOGY 2024; 13:93. [PMID: 38392311 PMCID: PMC10886886 DOI: 10.3390/biology13020093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 01/29/2024] [Accepted: 01/30/2024] [Indexed: 02/24/2024]
Abstract
Advances in gene-specific therapeutics for patients with neuromuscular disorders (NMDs) have brought increased attention to the importance of genetic diagnosis. Genetic testing practices vary among adult neuromuscular clinics, with multi-gene panel testing currently being the most common approach; follow-up testing using broad-based methods, such as exome or genome sequencing, is less consistently offered. Here, we use five case examples to illustrate the unique ability of broad-based testing to improve diagnostic yield, resulting in identification of SORD-neuropathy, HADHB-related disease, ATXN2-ALS, MECP2 related progressive gait decline and spasticity, and DNMT1-related cerebellar ataxia, deafness, narcolepsy, and hereditary sensory neuropathy type 1E. We describe in each case the technological advantages that enabled identification of the causal gene, and the resultant clinical and personal implications for the patient, demonstrating the importance of offering exome or genome sequencing to adults with NMDs.
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Affiliation(s)
- Laynie Dratch
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tanya M Bardakjian
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
- Sarepta Therapeutics Inc., Cambridge, MA 02142, USA
| | - Kelsey Johnson
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nareen Babaian
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Pedro Gonzalez-Alegre
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
- Spark Therapeutics, Inc., Philadelphia, PA 19104, USA
| | - Lauren Elman
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Colin Quinn
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michael H Guo
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Steven S Scherer
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Defne A Amado
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
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4
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Ek M, Nilsson D, Engvall M, Malmgren H, Thonberg H, Pettersson M, Anderlid BM, Hammarsjö A, Helgadottir HT, Arnardottir S, Naess K, Nennesmo I, Paucar M, Hjartarson HT, Press R, Solders G, Sejersen T, Lindstrand A, Kvarnung M. Genome sequencing with comprehensive variant calling identifies structural variants and repeat expansions in a large fraction of individuals with ataxia and/or neuromuscular disorders. Front Neurol 2023; 14:1170005. [PMID: 37273706 PMCID: PMC10234573 DOI: 10.3389/fneur.2023.1170005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 04/21/2023] [Indexed: 06/06/2023] Open
Abstract
Introduction Neuromuscular disorders (NMDs) have a heterogeneous etiology. A genetic diagnosis is key to personalized healthcare and access to targeted treatment for the affected individuals. Methods In this study, 861 patients with NMDs were analyzed with genome sequencing and comprehensive variant calling including single nucleotide variants, small insertions/deletions (SNVs/INDELs), and structural variants (SVs) in a panel of 895 NMD genes, as well as short tandem repeat expansions (STRs) at 28 loci. In addition, for unsolved cases with an unspecific clinical presentation, the analysis of a panel with OMIM disease genes was added. Results In the cohort, 27% (232/861) of the patients harbored pathogenic variants, of which STRs and SVs accounted for one-third of the patients (71/232). The variants were found in 107 different NMD genes. Furthermore, 18 pediatric patients harbored pathogenic variants in non-NMD genes. Discussion Our results highlight that for children with unspecific hypotonia, a genome-wide analysis rather than a disease-based gene panel should be considered as a diagnostic approach. More importantly, our results clearly show that it is crucial to include STR- and SV-analyses in the diagnostics of patients with neuromuscular disorders.
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Affiliation(s)
- Marlene Ek
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Daniel Nilsson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Science for Life Laboratory, Department of Molecular Medicine and Surgery, Karolinska Institutet Science Park, Solna, Sweden
| | - Martin Engvall
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Karolinska University Hospital, Centre for Inherited Metabolic Diseases, Stockholm, Sweden
| | - Helena Malmgren
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Håkan Thonberg
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Maria Pettersson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Britt-Marie Anderlid
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Anna Hammarsjö
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Hafdis T. Helgadottir
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | | | - Karin Naess
- Karolinska University Hospital, Centre for Inherited Metabolic Diseases, Stockholm, Sweden
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Inger Nennesmo
- Department of Oncology-Pathology, Karolinska University Hospital, Stockholm, Sweden
| | - Martin Paucar
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Helgi Thor Hjartarson
- Department of Neuropediatrics, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Rayomand Press
- Department of Clinical Neurophysiology, Karolinska University Hospital, Stockholm, Sweden
| | - Göran Solders
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neurophysiology, Karolinska University Hospital, Stockholm, Sweden
| | - Thomas Sejersen
- Department of Neuropediatrics, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Anna Lindstrand
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Malin Kvarnung
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
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5
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Chen PS, Chao CC, Tsai LK, Huang HY, Chien YH, Huang PH, Hwu WL, Hsieh ST, Lee NC, Hsueh HW, Yang CC. Diagnostic Challenges of Neuromuscular Disorders after Whole Exome Sequencing. J Neuromuscul Dis 2023:JND230013. [PMID: 37066920 DOI: 10.3233/jnd-230013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
BACKGROUND Whole-exome sequencing (WES) facilitates the diagnosis of hereditary neuromuscular disorders. To achieve an accurate diagnosis, physicians should interpret the genetic report carefully along with clinical information and examinations. We described our experience with (1) clinical validation in patients with variants found using WES and (2) a diagnostic approach for those with negative findings from WES. METHODS WES was performed on patients with the clinical impression of hereditary neuromuscular disorders. Information on clinical manifestations, neurological examination, electrodiagnostic studies, histopathology of muscle and nerve, and laboratory tests were collected. RESULTS Forty-one patients (Male/Female: 18/23, age of onset: 34.5±15.9) accepted WES and were categorized into four scenarios: (1) patients with a positive WES result, (2) patients with an inconclusive WES result but supporting clinical data, (3) negative findings from WES, but a final diagnosis after further work-up, and (4) undetermined etiology from WES and in further work-ups. The yield rate of the initial WES was 63.4% (26/41). Among these, seventeen patients had positive WES result, while the other nine patients had inconclusive WES result but supporting clinical data. Notably, in the fifteen patients with equivocal or negative findings from WES, four patients (26.7%) achieved a diagnosis after further workup: tumor-induced osteomalacia, metabolic myopathy with pathogenic variants in mitochondrial DNA, microsatellite expansion disease, and vasculitis-related neuropathy. The etiologies remained undetermined in eleven patients (myopathy: 7, neuropathy: 4) after WES and further workup. CONCLUSIONS It is essential to design genotype-guided molecular studies to correlate the identified variants with their clinical features. For patients who had negative findings from WES, acquired diseases, mitochondrial DNA disorders and microsatellite expansion diseases should be considered.
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Affiliation(s)
- Pin-Shiuan Chen
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Chi-Chao Chao
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Li-Kai Tsai
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsin-Yi Huang
- Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan
| | - Yin-Hsiu Chien
- Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan
| | - Pei-Hsin Huang
- Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan
| | - Wuh-Liang Hwu
- Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan
| | - Sung-Tsang Hsieh
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
- Department of Anatomy and Cell Biology, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Ni-Chung Lee
- Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsueh-Wen Hsueh
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
- Department of Anatomy and Cell Biology, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chih-Chao Yang
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
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Hong SE, Kneissl J, Cho A, Kim MJ, Park S, Lee J, Woo S, Kim S, Kim JS, Kim SY, Jung S, Kim J, Shin JY, Chae JH, Choi M. Transcriptome-based variant calling and aberrant mRNA discovery enhance diagnostic efficiency for neuromuscular diseases. J Med Genet 2022; 59:1075-1081. [PMID: 35387801 PMCID: PMC9613860 DOI: 10.1136/jmedgenet-2021-108307] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 03/08/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Whole-exome sequencing-based diagnosis of rare diseases typically yields 40%-50% of success rate. Precise diagnosis of the patients with neuromuscular disorders (NMDs) has been hampered by locus heterogeneity or phenotypic heterogeneity. We evaluated the utility of transcriptome sequencing as an independent approach in diagnosing NMDs. METHODS The RNA sequencing (RNA-Seq) of muscle tissues from 117 Korean patients with suspected Mendelian NMD was performed to evaluate the ability to detect pathogenic variants. Aberrant splicing and CNVs were inspected to identify additional causal genetic factors for NMD. Aberrant splicing events in Dystrophin (DMD) were investigated by using antisense oligonucleotides (ASOs). A non-negative matrix factorisation analysis of the transcriptome data followed by cell type deconvolution was performed to cluster samples by expression-based signatures and identify cluster-specific gene ontologies. RESULTS Our pipeline called 38.1% of pathogenic variants exclusively from the muscle transcriptomes, demonstrating a higher diagnostic rate than that achieved via exome analysis (34.9%). The discovery of variants causing aberrant splicing allowed the application of ASOs to the patient-derived cells, providing a therapeutic approach tailored to individual patients. RNA-Seq data further enabled sample clustering by distinct gene expression profiles that corresponded to clinical parameters, conferring additional advantages over exome sequencing. CONCLUSION The RNA-Seq-based diagnosis of NMDs achieves an increased diagnostic rate and provided pathogenic status information, which is not easily accessible through exome analysis.
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Affiliation(s)
- Sung Eun Hong
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Jana Kneissl
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Anna Cho
- Department of Pediatrics, Rare Disease Center, Seoul National University Bundang Hospital, Gyeonggi-do, Korea
| | - Man Jin Kim
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Korea
| | - Soojin Park
- Department of Pediatrics, Pediatric Neuroscience Center, Seoul National University Children's Hospital, Seoul, Korea
| | - Jeongeun Lee
- Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University, Seoul, Korea
| | - Sijae Woo
- Graduate School of Medical Science and Engineering and KAIST Institute for Health Science and Technology, Korea Advanced Institute of Science and Technology, Daejeon, Korea
| | - Sora Kim
- Department of Genome Medicine and Science, Gachon University College of Medicine, Incheon, Korea
| | - Jun-Soon Kim
- Department of Neurology, Seoul National University College of Medicine, Seoul, Korea
- Department of Neurology, Seoul National University Bundang Hospital, Geyonggi-do, Korea
| | - Soo Yeon Kim
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Pediatrics, Pediatric Neuroscience Center, Seoul National University Children's Hospital, Seoul, Korea
| | - Sungwon Jung
- Department of Genome Medicine and Science, Gachon University College of Medicine, Incheon, Korea
- Gachon Institute of Genome Medicine and Science, Gachon University Gil Medical Center, Incheon, Korea
| | - Jinkuk Kim
- Graduate School of Medical Science and Engineering and KAIST Institute for Health Science and Technology, Korea Advanced Institute of Science and Technology, Daejeon, Korea
| | - Je-Young Shin
- Department of Neurology, Seoul National University College of Medicine, Seoul, Korea
- Department of Neurology, Seoul National University Hospital, Seoul, Korea
| | - Jong-Hee Chae
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Pediatrics, Pediatric Neuroscience Center, Seoul National University Children's Hospital, Seoul, Korea
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea
| | - Murim Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea
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Ng KWP, Chin HL, Chin AXY, Goh DLM. Using gene panels in the diagnosis of neuromuscular disorders: A mini-review. Front Neurol 2022; 13:997551. [PMID: 36313509 PMCID: PMC9602396 DOI: 10.3389/fneur.2022.997551] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 09/21/2022] [Indexed: 09/26/2023] Open
Abstract
The diagnosis of inherited neuromuscular disorders is challenging due to their genetic and phenotypic variability. Traditionally, neurophysiology and histopathology were primarily used in the initial diagnostic approach to these conditions. Sanger sequencing for molecular diagnosis was less frequently utilized as its application was a time-consuming and cost-intensive process. The advent and accessibility of next-generation sequencing (NGS) has revolutionized the evaluation process of genetically heterogenous neuromuscular disorders. Current NGS diagnostic testing approaches include gene panels, whole exome sequencing (WES), and whole genome sequencing (WGS). Gene panels are often the most widely used, being more accessible due to availability and affordability. In this mini-review, we describe the benefits and risks of clinical genetic testing. We also discuss the utility, benefits, challenges, and limitations of using gene panels in the evaluation of neuromuscular disorders.
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Affiliation(s)
- Kay W. P. Ng
- Division of Neurology, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Hui-Lin Chin
- Division of Genetics and Metabolism, Department of Paediatrics, Khoo Teck Puat - National University Children's Medical Institute, National University Hospital, Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Amanda X. Y. Chin
- Division of Neurology, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Denise Li-Meng Goh
- Division of Genetics and Metabolism, Department of Paediatrics, Khoo Teck Puat - National University Children's Medical Institute, National University Hospital, Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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8
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Wortmann SB, Oud MM, Alders M, Coene KLM, van der Crabben SN, Feichtinger RG, Garanto A, Hoischen A, Langeveld M, Lefeber D, Mayr JA, Ockeloen CW, Prokisch H, Rodenburg R, Waterham HR, Wevers RA, van de Warrenburg BPC, Willemsen MAAP, Wolf NI, Vissers LELM, van Karnebeek CDM. How to proceed after "negative" exome: A review on genetic diagnostics, limitations, challenges, and emerging new multiomics techniques. J Inherit Metab Dis 2022; 45:663-681. [PMID: 35506430 PMCID: PMC9539960 DOI: 10.1002/jimd.12507] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 04/26/2022] [Accepted: 04/27/2022] [Indexed: 11/28/2022]
Abstract
Exome sequencing (ES) in the clinical setting of inborn metabolic diseases (IMDs) has created tremendous improvement in achieving an accurate and timely molecular diagnosis for a greater number of patients, but it still leaves the majority of patients without a diagnosis. In parallel, (personalized) treatment strategies are increasingly available, but this requires the availability of a molecular diagnosis. IMDs comprise an expanding field with the ongoing identification of novel disease genes and the recognition of multiple inheritance patterns, mosaicism, variable penetrance, and expressivity for known disease genes. The analysis of trio ES is preferred over singleton ES as information on the allelic origin (paternal, maternal, "de novo") reduces the number of variants that require interpretation. All ES data and interpretation strategies should be exploited including CNV and mitochondrial DNA analysis. The constant advancements in available techniques and knowledge necessitate the close exchange of clinicians and molecular geneticists about genotypes and phenotypes, as well as knowledge of the challenges and pitfalls of ES to initiate proper further diagnostic steps. Functional analyses (transcriptomics, proteomics, and metabolomics) can be applied to characterize and validate the impact of identified variants, or to guide the genomic search for a diagnosis in unsolved cases. Future diagnostic techniques (genome sequencing [GS], optical genome mapping, long-read sequencing, and epigenetic profiling) will further enhance the diagnostic yield. We provide an overview of the challenges and limitations inherent to ES followed by an outline of solutions and a clinical checklist, focused on establishing a diagnosis to eventually achieve (personalized) treatment.
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Affiliation(s)
- Saskia B. Wortmann
- Radboud Center for Mitochondrial and Metabolic Medicine, Department of PediatricsAmalia Children's Hospital, Radboud University Medical CenterNijmegenThe Netherlands
- University Children's Hospital, Paracelsus Medical UniversitySalzburgAustria
| | - Machteld M. Oud
- United for Metabolic DiseasesAmsterdamThe Netherlands
- Department of Human GeneticsDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
| | - Mariëlle Alders
- Department of Human GeneticsAmsterdam UMC, University of Amsterdam, Amsterdam Reproduction and Development Research InstituteAmsterdamThe Netherlands
| | - Karlien L. M. Coene
- United for Metabolic DiseasesAmsterdamThe Netherlands
- Translational Metabolic Laboratory, Department of Laboratory MedicineRadboud University Medical CenterNijmegenThe Netherlands
| | - Saskia N. van der Crabben
- Department of Human GeneticsAmsterdam University Medical Centers, University of AmsterdamAmsterdamThe Netherlands
| | - René G. Feichtinger
- University Children's Hospital, Paracelsus Medical UniversitySalzburgAustria
| | - Alejandro Garanto
- Radboud Center for Mitochondrial and Metabolic Medicine, Department of PediatricsAmalia Children's Hospital, Radboud University Medical CenterNijmegenThe Netherlands
- Department of PediatricsAmalia Children's Hospital, Radboud Institute for Molecular LifesciencesNijmegenThe Netherlands
- Department of Human GeneticsRadboud Institute for Molecular LifesciencesNijmegenThe Netherlands
| | - Alex Hoischen
- Department of Human Genetics, Department of Internal Medicine and Radboud Center for Infectious DiseasesRadboud Institute of Medical Life Sciences, Radboud University Medical CenterNijmegenthe Netherlands
| | - Mirjam Langeveld
- Department of Endocrinology and MetabolismAmsterdam University Medical Centers, location AMC, University of AmsterdamAmsterdamThe Netherlands
| | - Dirk Lefeber
- United for Metabolic DiseasesAmsterdamThe Netherlands
- Translational Metabolic Laboratory, Department of Laboratory MedicineRadboud University Medical CenterNijmegenThe Netherlands
- Department of Neurology, Donders Institute for BrainCognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
| | - Johannes A. Mayr
- University Children's Hospital, Paracelsus Medical UniversitySalzburgAustria
| | - Charlotte W. Ockeloen
- Department of Human GeneticsRadboud Institute for Molecular LifesciencesNijmegenThe Netherlands
| | - Holger Prokisch
- School of MedicineInstitute of Human Genetics, Technical University Munich and Institute of NeurogenomicsNeuherbergGermany
| | - Richard Rodenburg
- Radboud Center for Mitochondrial and Metabolic MedicineTranslational Metabolic Laboratory, Department of Pediatrics, Radboud University Medical CenterNijmegenThe Netherlands
| | - Hans R. Waterham
- United for Metabolic DiseasesAmsterdamThe Netherlands
- Laboratory Genetic Metabolic Diseases, Department of Clinical ChemistryAmsterdam University Medical Centers, location AMC, University of AmsterdamAmsterdamThe Netherlands
| | - Ron A. Wevers
- United for Metabolic DiseasesAmsterdamThe Netherlands
- Translational Metabolic Laboratory, Department of Laboratory MedicineRadboud University Medical CenterNijmegenThe Netherlands
| | - Bart P. C. van de Warrenburg
- Department of Neurology, Donders Institute for BrainCognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
| | - Michel A. A. P. Willemsen
- Departments of Pediatric Neurology and PediatricsAmalia Children's Hospital, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical CenterNijmegenThe Netherlands
| | - Nicole I. Wolf
- Amsterdam Leukodystrophy Center, Department of Child NeurologyEmma Children's Hospital, Amsterdam University Medical Centers, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Lisenka E. L. M. Vissers
- Department of Human GeneticsDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
| | - Clara D. M. van Karnebeek
- Radboud Center for Mitochondrial and Metabolic Medicine, Department of PediatricsAmalia Children's Hospital, Radboud University Medical CenterNijmegenThe Netherlands
- United for Metabolic DiseasesAmsterdamThe Netherlands
- Department of Human GeneticsAmsterdam UMC, University of Amsterdam, Amsterdam Reproduction and Development Research InstituteAmsterdamThe Netherlands
- Department of Pediatrics, Emma Center for Personalized MedicineAmsterdam University Medical Centers, Amsterdam, Amsterdam Genetics Endocrinology Metabolism Research Institute, University of AmsterdamAmsterdamThe Netherlands
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9
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Barbosa-Gouveia S, Vázquez-Mosquera ME, González-Vioque E, Hermida-Ameijeiras Á, Sánchez-Pintos P, de Castro MJ, León SR, Gil-Fournier B, Domínguez-González C, Camacho Salas A, Negrão L, Fineza I, Laranjeira F, Couce ML. Rapid Molecular Diagnosis of Genetically Inherited Neuromuscular Disorders Using Next-Generation Sequencing Technologies. J Clin Med 2022; 11:jcm11102750. [PMID: 35628876 PMCID: PMC9143479 DOI: 10.3390/jcm11102750] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/13/2022] [Accepted: 05/09/2022] [Indexed: 02/07/2023] Open
Abstract
Neuromuscular diseases are genetically highly heterogeneous, and differential diagnosis can be challenging. Over a 3-year period, we prospectively analyzed 268 pediatric and adult patients with a suspected diagnosis of inherited neuromuscular disorder (INMD) using comprehensive gene-panel analysis and next-generation sequencing. The rate of diagnosis increased exponentially with the addition of genes to successive versions of the INMD panel, from 31% for the first iteration (278 genes) to 40% for the last (324 genes). The global mean diagnostic rate was 36% (97/268 patients), with a diagnostic turnaround time of 4–6 weeks. Most diagnoses corresponded to muscular dystrophies/myopathies (68.37%) and peripheral nerve diseases (22.45%). The most common causative genes, TTN, RYR1, and ANO5, accounted for almost 30% of the diagnosed cases. Finally, we evaluated the utility of the differential diagnosis tool Phenomizer, which established a correlation between the phenotype and molecular findings in 21% of the diagnosed patients. In summary, comprehensive gene-panel analysis of all genes implicated in neuromuscular diseases facilitates a rapid diagnosis and provides a high diagnostic yield.
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Affiliation(s)
- Sofia Barbosa-Gouveia
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (M.E.V.-M.); (Á.H.-A.); (P.S.-P.); (M.J.d.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela University Clinical Hospital, European Reference Network for Hereditary Metabolic Disorders (MetabERN), 15704 Santiago de Compostela, Spain
- Correspondence: (S.B.-G.); (M.L.C.); Tel.: +34-981-950-151 (M.L.C.)
| | - Maria Eugenia Vázquez-Mosquera
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (M.E.V.-M.); (Á.H.-A.); (P.S.-P.); (M.J.d.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela University Clinical Hospital, European Reference Network for Hereditary Metabolic Disorders (MetabERN), 15704 Santiago de Compostela, Spain
| | - Emiliano González-Vioque
- Department of Clinical Biochemistry, Puerta de Hierro-Majadahonda University Hospital, 28222 Majadahonda, Spain;
| | - Álvaro Hermida-Ameijeiras
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (M.E.V.-M.); (Á.H.-A.); (P.S.-P.); (M.J.d.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela University Clinical Hospital, European Reference Network for Hereditary Metabolic Disorders (MetabERN), 15704 Santiago de Compostela, Spain
| | - Paula Sánchez-Pintos
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (M.E.V.-M.); (Á.H.-A.); (P.S.-P.); (M.J.d.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela University Clinical Hospital, European Reference Network for Hereditary Metabolic Disorders (MetabERN), 15704 Santiago de Compostela, Spain
| | - Maria José de Castro
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (M.E.V.-M.); (Á.H.-A.); (P.S.-P.); (M.J.d.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela University Clinical Hospital, European Reference Network for Hereditary Metabolic Disorders (MetabERN), 15704 Santiago de Compostela, Spain
| | - Soraya Ramiro León
- Genetics Department, Hospital Universitario de Getafe, 28905 Madrid, Spain; (S.R.L.); (B.G.-F.)
| | - Belén Gil-Fournier
- Genetics Department, Hospital Universitario de Getafe, 28905 Madrid, Spain; (S.R.L.); (B.G.-F.)
| | - Cristina Domínguez-González
- Neuromuscular Unit, Imas12 Research Institute, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain;
- Center for Biomedical Network Research On Rare Diseases (CIBERER), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Ana Camacho Salas
- Pediatric Neurology Unit, Hospital Universitario 12 de Octubre, Complutense University of Madrid, 28041 Madrid, Spain;
| | - Luis Negrão
- Neuromuscular Diseases Unit, Neurology Service, Centro Hospitalar e Universitário de Coimbra, 3000-075 Coimbra, Portugal;
| | - Isabel Fineza
- Pediatric Neurology Department, Child Developmental Center, Hospital Pediátrico, Centro Hospitalar e Universitário de Coimbra Coimbra Portugal, 3000-075 Coimbra, Portugal;
| | - Francisco Laranjeira
- Biochemical Genetics Unit, Centro de Genética Médica Doutor Jacinto Magalhães, 4050-466 Porto, Portugal;
| | - Maria Luz Couce
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (M.E.V.-M.); (Á.H.-A.); (P.S.-P.); (M.J.d.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela University Clinical Hospital, European Reference Network for Hereditary Metabolic Disorders (MetabERN), 15704 Santiago de Compostela, Spain
- Correspondence: (S.B.-G.); (M.L.C.); Tel.: +34-981-950-151 (M.L.C.)
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10
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Narayanaswami P, Živković S. Molecular and Genetic Therapies. Neuromuscul Disord 2022. [DOI: 10.1016/b978-0-323-71317-7.00011-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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11
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Clinical profile and multidisciplinary needs of patients with neuromuscular disorders transitioning from paediatric to adult care. Neuromuscul Disord 2021; 32:206-212. [DOI: 10.1016/j.nmd.2021.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 09/19/2021] [Accepted: 12/08/2021] [Indexed: 11/15/2022]
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12
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Grunseich C, Sarkar N, Lu J, Owen M, Schindler A, Calabresi PA, Sumner CJ, Roda RH, Chaudhry V, Lloyd TE, Crawford TO, Subramony SH, Oh SJ, Richardson P, Tanji K, Kwan JY, Fischbeck KH, Mankodi A. Improving the efficacy of exome sequencing at a quaternary care referral centre: novel mutations, clinical presentations and diagnostic challenges in rare neurogenetic diseases. J Neurol Neurosurg Psychiatry 2021; 92:1186-1196. [PMID: 34103343 PMCID: PMC8522445 DOI: 10.1136/jnnp-2020-325437] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 04/10/2021] [Accepted: 05/05/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND We used a multimodal approach including detailed phenotyping, whole exome sequencing (WES) and candidate gene filters to diagnose rare neurological diseases in individuals referred by tertiary neurology centres. METHODS WES was performed on 66 individuals with neurogenetic diseases using candidate gene filters and stringent algorithms for assessing sequence variants. Pathogenic or likely pathogenic missense variants were interpreted using in silico prediction tools, family segregation analysis, previous publications of disease association and relevant biological assays. RESULTS Molecular diagnosis was achieved in 39% (n=26) including 59% of childhood-onset cases and 27% of late-onset cases. Overall, 37% (10/27) of myopathy, 41% (9/22) of neuropathy, 22% (2/9) of MND and 63% (5/8) of complex phenotypes were given genetic diagnosis. Twenty-seven disease-associated variants were identified including ten novel variants in FBXO38, LAMA2, MFN2, MYH7, PNPLA6, SH3TC2 and SPTLC1. Single-nucleotide variants (n=10) affected conserved residues within functional domains and previously identified mutation hot-spots. Established pathogenic variants (n=16) presented with atypical features, such as optic neuropathy in adult polyglucosan body disease, facial dysmorphism and skeletal anomalies in cerebrotendinous xanthomatosis, steroid-responsive weakness in congenital myasthenia syndrome 10. Potentially treatable rare diseases were diagnosed, improving the quality of life in some patients. CONCLUSIONS Integrating deep phenotyping, gene filter algorithms and biological assays increased diagnostic yield of exome sequencing, identified novel pathogenic variants and extended phenotypes of difficult to diagnose rare neurogenetic disorders in an outpatient clinic setting.
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Affiliation(s)
- Christopher Grunseich
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Nathan Sarkar
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Joyce Lu
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Mallory Owen
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Alice Schindler
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Peter A Calabresi
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Charlotte J Sumner
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ricardo H Roda
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Vinay Chaudhry
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Thomas E Lloyd
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Thomas O Crawford
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - S H Subramony
- Department of Neurology, University of Florida, Gainesville, Florida, USA
| | - Shin J Oh
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Perry Richardson
- Department of Neurology, George Washington University, Washington, District of Columbia, USA
| | - Kurenai Tanji
- Division of Neuropathology, Columbia University Medical Center, New York, New York, USA
| | - Justin Y Kwan
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Kenneth H Fischbeck
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Ami Mankodi
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
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13
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Gemelli C, Traverso M, Trevisan L, Fabbri S, Scarsi E, Carlini B, Prada V, Mongini T, Ruggiero L, Patrone S, Gallone S, Iodice R, Pisciotta L, Zara F, Origone P, Rota E, Minetti C, Bruno C, Schenone A, Mandich P, Fiorillo C, Grandis M. An integrated approach to the evaluation of patients with asymptomatic or minimally symptomatic hyperCKemia. Muscle Nerve 2021; 65:96-104. [PMID: 34687219 PMCID: PMC9298868 DOI: 10.1002/mus.27448] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 10/17/2021] [Accepted: 10/18/2021] [Indexed: 02/01/2023]
Abstract
Introduction/Aims Currently, there are no straightforward guidelines for the clinical and diagnostic management of hyperCKemia, a frequent and nonspecific presentation in muscle diseases. Therefore, we aimed to describe our diagnostic workflow for evaluating patients with this condition. Methods We selected 83 asymptomatic or minimally symptomatic patients with persistent hyperCKemia for participation in this Italian multicenter study. Patients with facial involvement and distal or congenital myopathies were excluded, as were patients with suspected inflammatory myopathies or predominant respiratory or cardiac involvement. All patients underwent a neurological examination and nerve conduction and electromyography studies. The first step of the investigation included a screening for Pompe disease. We then evaluated the patients for myotonic dystrophy type II–related CCTG expansion and excluded patients with copy number variations in the DMD gene. Subsequently, the undiagnosed patients were investigated using a target gene panel that included 20 genes associated with isolated hyperCKemia. Results Using this approach, we established a definitive diagnosis in one third of the patients. The detection rate was higher in patients with severe hyperCKemia and abnormal electromyographic findings. Discussion We have described our diagnostic workflow for isolated hyperCKemia, which is based on electrodiagnostic data, biochemical screening, and first‐line genetic investigations, followed by successive targeted sequencing panels. Both clinical signs and electromyographic abnormalities are associated with increased diagnostic yields.
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Affiliation(s)
- Chiara Gemelli
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Genoa, Italy
| | - Monica Traverso
- Paediatric Neurology and Muscular Diseases Unit, IRCCS G. Gaslini Institute, Genoa, Italy
| | - Lucia Trevisan
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Genoa, Italy
| | - Sabrina Fabbri
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Genoa, Italy
| | - Elena Scarsi
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Genoa, Italy
| | - Barbara Carlini
- Unit of Medical Genetics, IRCCS G. Gaslini Institute, Genoa, Italy
| | - Valeria Prada
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Genoa, Italy
| | - Tiziana Mongini
- Neuromuscular Unit, Department of Neurosciences Rita Levi Montalcini, University of Torino, Torino, Italy
| | - Lucia Ruggiero
- Dipartimento di Neuroscienze e Scienze Riproduttive ed Odontostomatologiche, Università degli Studi di Napoli "Federico II,", Naples, Italy
| | - Serena Patrone
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Genoa, Italy
| | - Salvatore Gallone
- Neurogenetic Service, Department of Neurosciences, AOU Città della salute e della scienza, Torino, Italy
| | - Rosa Iodice
- Dipartimento di Neuroscienze e Scienze Riproduttive ed Odontostomatologiche, Università degli Studi di Napoli "Federico II,", Naples, Italy
| | - Livia Pisciotta
- Department of Internal Medicine, University of Genoa, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Federico Zara
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Unit of Medical Genetics IRCCS G. Gaslini Institute, Genoa, Italy
| | - Paola Origone
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Unit of Medical Genetics, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Eugenia Rota
- Neurology Unit, ASL Alessandria, Novi Ligure, Italy
| | - Carlo Minetti
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Pediatric Neurology and Muscular Diseases Unit, IRCCS G. Gaslini Institute, Genoa, Italy
| | - Claudio Bruno
- Centre of Experimental and Translational Myology, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Angelo Schenone
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Unit of Neurology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Paola Mandich
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Unit of Medical Genetics, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Chiara Fiorillo
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Pediatric Neurology and Muscular Diseases Unit, IRCCS G. Gaslini Institute, Genoa, Italy
| | - Marina Grandis
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Unit of Neurology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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14
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Ababneh NA, Ali D, Al-Kurdi B, Barham R, Bsisu IK, Dababseh D, Arafat S, Khanfar AN, Makahleh L, Ryalat AT, Sallam M, El-Khateeb M, Sharrack B, Awidi A. The utility of whole-exome sequencing in accurate diagnosis of neuromuscular disorders in consanguineous families in Jordan. Clin Chim Acta 2021; 523:330-338. [PMID: 34624274 DOI: 10.1016/j.cca.2021.10.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 10/01/2021] [Accepted: 10/03/2021] [Indexed: 01/11/2023]
Abstract
BACKGROUND Neuromuscular disorders (NMDs) encompass a large group of genetic and acquired diseases affecting muscles, leading to progressive muscular weakness. These disorders are frequently inherited in an autosomal-recessive (AR) pattern with extreme heterogeneity and various clinical presentations. Consanguinity increases the likelihood of AR disorders, with high rates of cousin inbreeding in Jordan and other Arab countries. In Jordan, the implementation of genetic diagnosis is limited, with delayed or misdiagnosis of genetic disorders. Thus, the lack of genetic counselling and specialized treatment options is frequently encountered in the country. METHODS Whole-exome sequencing (WES) was conducted for eleven probands from ten Jordanian families who have been formerly diagnosed with limb-girdle dystrophy (LGMD) and Charcot-Marie-Tooth disease (CMT). The previous diagnoses were established principally on clinical examination in the absence of genetic testing. Additionally, Sanger sequencing and segregation analysis were used to validate the resulted pathogenic variants. RESULTS Multiple variants were identified using WES: For DYSF gene, a missense variant (c. 4076 T > C, p.Leu1359Pro) in exon 38; a nonsense variant (c. 4321C > T, p.Gln1441Ter) in exon 39; a single-nucleotide deletion (c. 5711delG, p.Gly1904AlafsTer101) in exon 51. Other variants included a missense variant (c. 122G > A, p.Arg41Gln) in exon 3 of MPV17 gene, a single-nucleotide deletion (c. 859 delC, p.Lue287Ser fs14*) in exon 6 of SGCB gene, a missense variant (c. 311G > A, p.Gly104Asp) in exon 2 of SLC25A46 gene, a nonsense variant (c. 496C > T, p.Arg166Ter) in exon 5 of SGCG gene, and a nonsense variant (c.3202C > T, p.Gln1068Ter) in exon 13 of SH3TC2 gene. CONCLUSION Utilization of WES is helpful to facilitate rapid and accurate NMDs diagnosis, complementing a thorough clinical evaluation. This approach can be invaluable to aid in the identification of genetic risks among consanguineous couples. Subsequently, well-informed genetic counselling and potential individualized treatment can be provided.
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Affiliation(s)
- Nidaa A Ababneh
- Cell Therapy Center (CTC), the University of Jordan, Amman, Jordan.
| | - Dema Ali
- Cell Therapy Center (CTC), the University of Jordan, Amman, Jordan
| | - Ban Al-Kurdi
- Cell Therapy Center (CTC), the University of Jordan, Amman, Jordan
| | - Raghda Barham
- Cell Therapy Center (CTC), the University of Jordan, Amman, Jordan
| | - Isam K Bsisu
- Department of Anesthesia, School of Medicine, the University of Jordan, Amman, Jordan
| | - Deema Dababseh
- Department of Dentistry, Jordan University Hospital, Amman, Jordan
| | - Sally Arafat
- Cell Therapy Center (CTC), the University of Jordan, Amman, Jordan
| | - Asim N Khanfar
- School of Medicine, the University of Jordan, Amman, Jordan
| | - Leen Makahleh
- School of Medicine, the University of Jordan, Amman, Jordan
| | | | - Malik Sallam
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, the University of Jordan, Amman, Jordan; Department of Clinical Laboratories and Forensic Medicine, Jordan University Hospital, Amman, Jordan
| | | | - Basil Sharrack
- Academic Department of Neuroscience and Sheffield NIHR Neuroscience BRC, Royal Hallamshire Hospital and the University of Sheffield, Glossop Road, Sheffield S10 2JF, UK
| | - Abdalla Awidi
- Cell Therapy Center (CTC), the University of Jordan, Amman, Jordan; Hemostasis and Thrombosis Laboratory, School of Medicine, the University of Jordan, Amman, Jordan; Department of Hematology and Oncology, Jordan University Hospital, Amman, Jordan.
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15
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Felice KJ, Whitaker CH, Khorasanizadeh S. Diagnostic yield of advanced genetic testing in patients with hereditary neuropathies: A retrospective single-site study. Muscle Nerve 2021; 64:454-461. [PMID: 34232518 DOI: 10.1002/mus.27368] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 06/29/2021] [Accepted: 07/04/2021] [Indexed: 11/09/2022]
Abstract
INTRODUCTION/AIMS Advanced genetic testing including next-generation sequencing (AGT/NGS) has facilitated DNA testing in the clinical setting and greatly expanded new gene discovery for the Charcot-Marie-Tooth neuropathies and other hereditary neuropathies (CMT/HN). Herein, we report AGT/NGS results, clinical findings, and diagnostic yield in a cohort of CMT/HN patients evaluated at our neuropathy care center. METHODS We reviewed the medical records of all patients with suspected CMT/HN who underwent AGT/NGS at the Hospital for Special Care from January 2017 through January 2020. Patients with variants reported as pathogenic or likely pathogenic were included for further clinical review. RESULTS We ordered AGT/NGS on 108 patients with suspected CMT/HN. Of these, pathogenic or likely pathogenic variants were identified in 17 patients (diagnostic yield, 15.7%), including 6 (35%) with PMP22 duplications; 3 (18%) with MPZ variants; 2 (12%) with MFN2 variants; and 1 each with NEFL, IGHMBP2, GJB1, BSCL2, DNM2, and TTR variants. Diagnostic yield increased to 31.0% for patients with a positive family history. DISCUSSION AGT/NGS panels can provide specific genetic diagnoses for a subset of patients with CMT/HN disorders, which improves disease and genetic counseling and prepares patients for disease-focused therapies. Despite these advancements, many patients with known or suspected CMT/HN disorders remain without a specific genetic diagnosis. Continued advancements in genetic testing, such as multiomic technology and better understanding of genotype-phenotype correlation, will further improve detection rates for patients with suspected CMT/HN disorders.
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Affiliation(s)
- Kevin J Felice
- Department of Neuromuscular Medicine, Hospital for Special Care, New Britain, Connecticut, USA
| | - Charles H Whitaker
- Department of Neuromuscular Medicine, Hospital for Special Care, New Britain, Connecticut, USA
| | - Sadaf Khorasanizadeh
- Department of Neuromuscular Medicine, Hospital for Special Care, New Britain, Connecticut, USA
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Nicolau S, Milone M, Liewluck T. Guidelines for genetic testing of muscle and neuromuscular junction disorders. Muscle Nerve 2021; 64:255-269. [PMID: 34133031 DOI: 10.1002/mus.27337] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 05/28/2021] [Indexed: 12/24/2022]
Abstract
Despite recent advances in the understanding of inherited muscle and neuromuscular junction diseases, as well as the advent of a wide range of genetic tests, patients continue to face delays in diagnosis of sometimes treatable disorders. These guidelines outline an approach to genetic testing in such disorders. Initially, a patient's phenotype is evaluated to identify myopathies requiring directed testing, including myotonic dystrophies, facioscapulohumeral muscular dystrophy, oculopharyngeal muscular dystrophy, mitochondrial myopathies, dystrophinopathies, and oculopharyngodistal myopathy. Initial investigation in the remaining patients is generally a comprehensive gene panel by next-generation sequencing. Broad panels have a higher diagnostic yield and can be cost-effective. Due to extensive phenotypic overlap and treatment implications, genes responsible for congenital myasthenic syndromes should be included when evaluating myopathy patients. For patients whose initial genetic testing is negative or inconclusive, phenotypic re-evaluation is warranted, along with consideration of genes and variants not included initially, as well as their acquired mimickers.
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Affiliation(s)
- Stefan Nicolau
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Teerin Liewluck
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
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17
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Staley BS, Milko LV, Waltz M, Griesemer I, Mollison L, Grant TL, Farnan L, Roche M, Navas A, Lightfoot A, Foreman AKM, O'Daniel JM, O'Neill SC, Lin FC, Roman TS, Brandt A, Powell BC, Rini C, Berg JS, Bensen JT. Evaluating the clinical utility of early exome sequencing in diverse pediatric outpatient populations in the North Carolina Clinical Genomic Evaluation of Next-generation Exome Sequencing (NCGENES) 2 study: a randomized controlled trial. Trials 2021; 22:395. [PMID: 34127041 PMCID: PMC8201439 DOI: 10.1186/s13063-021-05341-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 05/26/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Exome sequencing (ES) has probable utility for shortening the diagnostic odyssey of children with suspected genetic disorders. This report describes the design and methods of a study evaluating the potential of ES as a routine clinical tool for pediatric patients who have suspected genetic conditions and who are in the early stages of the diagnostic odyssey. METHODS The North Carolina Clinical Genomic Evaluation by Next-generation Exome Sequencing (NCGENES) 2 study is an interdisciplinary, multi-site Phase III randomized controlled trial of two interventions: educational pre-visit preparation (PVP) and offer of first-line ES. In this full-factorial design, parent-child dyads are randomly assigned to one of four study arms (PVP + usual care, ES + usual care, PVP + ES + usual care, or usual care alone) in equal proportions. Participants are recruited from Pediatric Genetics or Neurology outpatient clinics in three North Carolina healthcare facilities. Eligible pediatric participants are < 16 years old and have a first visit to a participating clinic, a suspected genetic condition, and an eligible parent/guardian to attend the clinic visit and complete study measures. The study oversamples participants from underserved and under-represented populations. Participants assigned to the PVP arms receive an educational booklet and question prompt list before clinical interactions. Randomization to offer of first-line ES is revealed after a child's clinic visit. Parents complete measures at baseline, pre-clinic, post-clinic, and two follow-up timepoints. Study clinicians provide phenotypic data and complete measures after the clinic visit and after returning results. Reportable study-related research ES results are confirmed in a CLIA-certified clinical laboratory. Results are disclosed to the parent by the clinical team. A community consultation team contributed to the development of study materials and study implementation methods and remains engaged in the project. DISCUSSION NCGENES 2 will contribute valuable knowledge concerning technical, clinical, psychosocial, and health economic issues associated with using early diagnostic ES to shorten the diagnostic odyssey of pediatric patients with likely genetic conditions. Results will inform efforts to engage diverse populations in genomic medicine research and generate evidence that can inform policy, practice, and future research related to the utility of first-line diagnostic ES in health care. TRIAL REGISTRATION ClinicalTrials.gov NCT03548779 . Registered on June 07, 2018.
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Affiliation(s)
- Brooke S Staley
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Campus Box #7295, Chapel Hill, NC, 27599-7295, USA.
| | - Laura V Milko
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Margaret Waltz
- Department of Social Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ida Griesemer
- Department of Heath Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lonna Mollison
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Tracey L Grant
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Laura Farnan
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Myra Roche
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, 27599, USA
| | - Angelo Navas
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Alexandra Lightfoot
- Department of Heath Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ann Katherine M Foreman
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Julianne M O'Daniel
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Suzanne C O'Neill
- Department of Oncology, Georgetown University, Washington, DC, 20007, USA
| | - Feng-Chang Lin
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Tamara S Roman
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Alicia Brandt
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Bradford C Powell
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Christine Rini
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA
| | - Jonathan S Berg
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Jeannette T Bensen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Campus Box #7295, Chapel Hill, NC, 27599-7295, USA
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18
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Babić Božović I, Maver A, Leonardis L, Meznaric M, Osredkar D, Peterlin B. Diagnostic yield of exome sequencing in myopathies: Experience of a Slovenian tertiary centre. PLoS One 2021; 16:e0252953. [PMID: 34106991 PMCID: PMC8189452 DOI: 10.1371/journal.pone.0252953] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 05/25/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Our aim was to present the experience of systematic, routine use of next generation sequencing (NGS) in clinical diagnostics of myopathies. METHODS Exome sequencing was performed on patients with high risk for inherited myopathy, which were selected based on the history of the disease, family history, clinical presentation, and diagnostic workup. Exome target capture was performed, followed by sequencing on HiSeq 2500 or MiSeq platforms. Data analysis was performed using internally developed bioinformatic pipeline. RESULTS The study comprised 86 patients, including 22 paediatric cases (26%). The largest group were patients referred with an unspecified myopathy (47%), due to non-specific or incomplete clinical and laboratory findings, followed by congenital myopathies (22%) and muscular dystrophies (22%), congenital myotonias (6%), and mitochondrial myopathies (3%). Altogether, a diagnostic yield was 52%; a high diagnostic rate was present in paediatric patients (64%), while in patients with unspecified myopathies the rate was 35%. We found 51 pathogenic/likely pathogenic variants in 23 genes and two pathogenic copy number variations. CONCLUSION Our results provide evidence that phenotype driven exome analysis diagnostic approach facilitates the diagnostic rate of complex, heterogeneous disorders, such as myopathies, particularly in paediatric patients and patients with unspecified myopathies.
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Affiliation(s)
- Ivana Babić Božović
- Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Aleš Maver
- Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Lea Leonardis
- Institute of Clinical Neurophysiology, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Department of Neurology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Marija Meznaric
- Institute of Anatomy, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Damjan Osredkar
- Department of Paediatric Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Borut Peterlin
- Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
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19
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Guo MH, Bardakjian TM, Brzozowski MR, Scherer SS, Quinn C, Elman L, Orthmann-Murphy J, Tropea TF, Ellis CA, Gonzalez-Alegre P. Temporal trends and yield of clinical diagnostic genetic testing in adult neurology. Am J Med Genet A 2021; 185:2922-2928. [PMID: 34075706 DOI: 10.1002/ajmg.a.62372] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 03/24/2021] [Accepted: 05/16/2021] [Indexed: 12/29/2022]
Abstract
While genetics evaluation is increasingly utilized in adult neurology patients, its usage and efficacy are not well characterized. Here, we report our experience with 1461 consecutive patients evaluated in an adult neurogenetics clinic at a large academic medical center between January 2015 and March 2020. Of the 1461 patients evaluated, 1215 patients were referred for the purposes of identifying a genetic diagnosis for an undiagnosed condition, 90.5% of whom underwent genetic testing. The modalities of genetic testing utilized varied across referral diagnostic categories, including a range of utilization of whole exome sequencing (WES) as an initial test in 13.9% of neuromuscular patients to 52.9% in white matter disorder patients. The usage of WES increased over time, from 7.7% of initial testing in 2015 to a peak of 27.3% in 2019. Overall, genetic testing yielded a causal genetic diagnosis in 30.7% of patients. This yield was higher in certain referring diagnosis categories, such as neuromuscular (39.0%) and epilepsy (29.8%). Our study demonstrates that evaluation at an adult neurogenetics referral center can yield diagnoses in a substantial fraction of patients. Additional research will be needed to determine optimal genetic testing strategies and cost effectiveness of adult neurogenetics evaluation.
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Affiliation(s)
- Michael H Guo
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Tanya M Bardakjian
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Morgan R Brzozowski
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Steven S Scherer
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Colin Quinn
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lauren Elman
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jennifer Orthmann-Murphy
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Thomas F Tropea
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Colin A Ellis
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Pedro Gonzalez-Alegre
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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20
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Saat H, Sahin I. Mutation spectrum of hereditary myopathies in Turkish patients and novel variants. Ann Hum Genet 2021; 85:178-185. [PMID: 33963534 DOI: 10.1111/ahg.12429] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 04/23/2021] [Accepted: 04/26/2021] [Indexed: 11/28/2022]
Abstract
Hereditary myopathies are a heterogeneous disorder known to be associated with more than 100 genes. Although hereditary myopathy subgroups can be partially described with traditional methods such as muscle biopsy, next-generation sequencing (NGS) is essential to reveal the disease's underlying genetic etiology and molecular mechanisms. In this study, we performed clinical exome sequencing or whole-exome sequencing (CES/WES) in 20 unrelated Turkish patients. Thirteen pathogenic or likely pathogenic variants, including five novel variantswere detected in the 16 known hereditary myopathy genes. We achieved a high rate of diagnosis (65%) compared to previous studies. The most common condition noticed was limb-girdle muscular dystrophy (LGMD), which should not be ignored in patients diagnosed with myopathy. CES or WES provides a certain molecular diagnosis from a broad perspective to demonstrate underlying genetic causes in heterogeneous disorders. Therefore, exome sequencing offers a higher and more complete diagnosis than the gene panel.
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Affiliation(s)
- Hanife Saat
- Department of Medical Genetics, University of Health Sciences, Dışkapı Yıldırım Beyazıt Research and Training Hospital, Ankara, Turkey
| | - Ibrahim Sahin
- Department of Medical Genetics, University of Health Sciences, Dışkapı Yıldırım Beyazıt Research and Training Hospital, Ankara, Turkey
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21
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Barp A, Mosca L, Sansone VA. Facilitations and Hurdles of Genetic Testing in Neuromuscular Disorders. Diagnostics (Basel) 2021; 11:diagnostics11040701. [PMID: 33919863 PMCID: PMC8070835 DOI: 10.3390/diagnostics11040701] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/11/2021] [Accepted: 04/12/2021] [Indexed: 12/11/2022] Open
Abstract
Neuromuscular disorders (NMDs) comprise a heterogeneous group of disorders that affect about one in every thousand individuals worldwide. The vast majority of NMDs has a genetic cause, with about 600 genes already identified. Application of genetic testing in NMDs can be useful for several reasons: correct diagnostic definition of a proband, extensive familial counselling to identify subjects at risk, and prenatal diagnosis to prevent the recurrence of the disease; furthermore, identification of specific genetic mutations still remains mandatory in some cases for clinical trial enrollment where new gene therapies are now approaching. Even though genetic analysis is catching on in the neuromuscular field, pitfalls and hurdles still remain and they should be taken into account by clinicians, as for example the use of next generation sequencing (NGS) where many single nucleotide variants of “unknown significance” can emerge, complicating the correct interpretation of genotype-phenotype relationship. Finally, when all efforts in terms of molecular analysis have been carried on, a portion of patients affected by NMDs still remain “not genetically defined”. In the present review we analyze the evolution of genetic techniques, from Sanger sequencing to NGS, and we discuss “facilitations and hurdles” of genetic testing which must always be balanced by clinicians, in order to ensure a correct diagnostic definition, but taking always into account the benefit that the patient could obtain especially in terms of “therapeutic offer”.
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Affiliation(s)
- Andrea Barp
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, Piazza Ospedale Maggiore 3, 20162 Milano, Italy;
- Correspondence:
| | - Lorena Mosca
- Medical Genetics Unit, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milano, Italy;
| | - Valeria Ada Sansone
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, Piazza Ospedale Maggiore 3, 20162 Milano, Italy;
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22
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Abstract
Neuromuscular disorders (NMDs) comprise a heterogeneous group of disorders that affect about one in every thousand individuals worldwide. The vast majority of NMDs has a genetic cause, with about 600 genes already identified. Application of genetic testing in NMDs can be useful for several reasons: correct diagnostic definition of a proband, extensive familial counselling to identify subjects at risk, and prenatal diagnosis to prevent the recurrence of the disease; furthermore, identification of specific genetic mutations still remains mandatory in some cases for clinical trial enrollment where new gene therapies are now approaching. Even though genetic analysis is catching on in the neuromuscular field, pitfalls and hurdles still remain and they should be taken into account by clinicians, as for example the use of next generation sequencing (NGS) where many single nucleotide variants of "unknown significance" can emerge, complicating the correct interpretation of genotype-phenotype relationship. Finally, when all efforts in terms of molecular analysis have been carried on, a portion of patients affected by NMDs still remain "not genetically defined". In the present review we analyze the evolution of genetic techniques, from Sanger sequencing to NGS, and we discuss "facilitations and hurdles" of genetic testing which must always be balanced by clinicians, in order to ensure a correct diagnostic definition, but taking always into account the benefit that the patient could obtain especially in terms of "therapeutic offer".
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Affiliation(s)
- Andrea Barp
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, Piazza Ospedale Maggiore 3, 20162 Milano, Italy
| | - Lorena Mosca
- Medical Genetics Unit, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milano, Italy
| | - Valeria Ada Sansone
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, Piazza Ospedale Maggiore 3, 20162 Milano, Italy
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23
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Bhatia NS, Lim JY, Bonnard C, Kuan JL, Brett M, Wei H, Cham B, Chin H, Bosso-Lefevre C, Dharuman P, Escande-Beillard N, Devasia AG, Goh CYJ, Kam S, Liew WKM, Liew WK, Lin G, Jain K, Ng AYJ, Subramanian D, Xie M, Tan YM, Tawari NR, Tiang Z, Ting TW, Tohari S, Tong CK, Lezhava A, Ng SB, Law HY, Venkatesh B, Tomar S, Sethi R, Tan G, Shanmugasundaram A, Goh DLM, Lai PS, Lai A, Tan ES, Ng I, Reversades B, Tan EC, Foo R, Jamuar SS. Singapore Undiagnosed Disease Program: Genomic Analysis aids Diagnosis and Clinical Management. Arch Dis Child 2021; 106:31-37. [PMID: 32819910 DOI: 10.1136/archdischild-2020-319180] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 06/30/2020] [Accepted: 07/02/2020] [Indexed: 12/27/2022]
Abstract
OBJECTIVE Use next-generation sequencing (NGS) technology to improve our diagnostic yield in patients with suspected genetic disorders in the Asian setting. DESIGN A diagnostic study conducted between 2014 and 2019 (and ongoing) under the Singapore Undiagnosed Disease Program. Date of last analysis was 1 July 2019. SETTING Inpatient and outpatient genetics service at two large academic centres in Singapore. PATIENTS Inclusion criteria: patients suspected of genetic disorders, based on abnormal antenatal ultrasound, multiple congenital anomalies and developmental delay. EXCLUSION CRITERIA patients with known genetic disorders, either after clinical assessment or investigations (such as karyotype or chromosomal microarray). INTERVENTIONS Use of NGS technology-whole exome sequencing (WES) or whole genome sequencing (WGS). MAIN OUTCOME MEASURES (1) Diagnostic yield by sequencing type, (2) diagnostic yield by phenotypical categories, (3) reduction in time to diagnosis and (4) change in clinical outcomes and management. RESULTS We demonstrate a 37.8% diagnostic yield for WES (n=172) and a 33.3% yield for WGS (n=24). The yield was higher when sequencing was conducted on trios (40.2%), as well as for certain phenotypes (neuromuscular, 54%, and skeletal dysplasia, 50%). In addition to aiding genetic counselling in 100% of the families, a positive result led to a change in treatment in 27% of patients. CONCLUSION Genomic sequencing is an effective method for diagnosing rare disease or previous 'undiagnosed' disease. The clinical utility of WES/WGS is seen in the shortened time to diagnosis and the discovery of novel variants. Additionally, reaching a diagnosis significantly impacts families and leads to alteration in management of these patients.
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Affiliation(s)
- Neha S Bhatia
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,Division of Genetics and Metabolism, Tufts Medical Center and the Floating Hospital for Children, Boston, Massachusetts, USA
| | - Jiin Ying Lim
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | | | - Jyn-Ling Kuan
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,SingHealth Duke-NUS Institute of Precision Medicine, Singapore
| | - Maggie Brett
- KK Research Centre, KK Women's and Children's Hospital, Singapore
| | - Heming Wei
- KK Research Centre, KK Women's and Children's Hospital, Singapore
| | - Breana Cham
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Huilin Chin
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Celia Bosso-Lefevre
- Institute of Medical Biology, A*STAR, Singapore.,Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | | | | | | | - Sylvia Kam
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,SingHealth Duke-NUS Institute of Precision Medicine, Singapore
| | - Wendy Kein-Meng Liew
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,SBCC Baby and Child Clinic, Singapore
| | - Woei Kang Liew
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,SBCC Baby and Child Clinic, Singapore
| | - Grace Lin
- KK Research Centre, KK Women's and Children's Hospital, Singapore
| | - Kanika Jain
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,POLARIS, Genome Institute of Singapore, Singapore
| | | | | | - Min Xie
- POLARIS, Genome Institute of Singapore, Singapore
| | - Yuen-Ming Tan
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,DNA Diagnostic and Research Laboratory, KK Women's and Children's Hospital, Singapore
| | | | - Zenia Tiang
- Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Genome Institute of Singapore, A*STAR, Singapore
| | - Teck Wah Ting
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,Paediatrics Academic Clinical Programme, Duke-NUS Medical School, Singapore.,SingHealth Duke-NUS Genomic Medicine Centre, Singapore
| | - Sumanty Tohari
- Institute of Molecular and Cell Biology, A*STAR, Singapore
| | | | | | - Sarah B Ng
- POLARIS, Genome Institute of Singapore, Singapore
| | - Hai Yang Law
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,DNA Diagnostic and Research Laboratory, KK Women's and Children's Hospital, Singapore.,Paediatrics Academic Clinical Programme, Duke-NUS Medical School, Singapore
| | - Byrappa Venkatesh
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Institute of Molecular and Cell Biology, A*STAR, Singapore
| | - Swati Tomar
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Raman Sethi
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Grace Tan
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Arthi Shanmugasundaram
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Denise Li-Meng Goh
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Poh San Lai
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore.,Genome Institute of Singapore, A*STAR, Singapore
| | - Angeline Lai
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,Paediatrics Academic Clinical Programme, Duke-NUS Medical School, Singapore.,SingHealth Duke-NUS Genomic Medicine Centre, Singapore
| | - Ee Shien Tan
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,Paediatrics Academic Clinical Programme, Duke-NUS Medical School, Singapore.,SingHealth Duke-NUS Genomic Medicine Centre, Singapore
| | - Ivy Ng
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,Paediatrics Academic Clinical Programme, Duke-NUS Medical School, Singapore.,SingHealth Duke-NUS Genomic Medicine Centre, Singapore
| | - Bruno Reversades
- Institute of Medical Biology, A*STAR, Singapore.,Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,POLARIS, Genome Institute of Singapore, Singapore.,Institute of Molecular and Cell Biology, A*STAR, Singapore
| | - Ene Choo Tan
- KK Research Centre, KK Women's and Children's Hospital, Singapore.,Paediatrics Academic Clinical Programme, Duke-NUS Medical School, Singapore
| | - Roger Foo
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,POLARIS, Genome Institute of Singapore, Singapore.,Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Genome Institute of Singapore, A*STAR, Singapore.,National University Heart Centre, National University Health System, Singapore
| | - Saumya Shekhar Jamuar
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore .,SingHealth Duke-NUS Institute of Precision Medicine, Singapore.,Paediatrics Academic Clinical Programme, Duke-NUS Medical School, Singapore.,SingHealth Duke-NUS Genomic Medicine Centre, Singapore
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24
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Estrella EA, Kang PB. Hunting for the perfect test: Neuromuscular diagnosis in the age of genomic bounty. Muscle Nerve 2021; 63:282-284. [PMID: 33382457 DOI: 10.1002/mus.27160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 12/26/2020] [Accepted: 12/28/2020] [Indexed: 01/01/2023]
Affiliation(s)
- Elicia A Estrella
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts
| | - Peter B Kang
- Division of Pediatric Neurology, Department of Pediatrics, University of Florida College of Medicine, Gainesville, Florida.,Department of Neurology, University of Florida College of Medicine, Gainesville, Florida
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25
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Hannah-Shmouni F, Al-Shahoumi R, Brady LI, Wu L, Frei J, Tarnopolsky MA. Dual molecular diagnoses in a neurometabolic specialty clinic. Am J Med Genet A 2020; 185:766-773. [PMID: 33369152 DOI: 10.1002/ajmg.a.62034] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 12/05/2020] [Accepted: 12/06/2020] [Indexed: 11/08/2022]
Abstract
Reports of patients with concomitant diagnoses of two inherited genetic disorders, sometimes referred to as "double trouble," have appeared intermittently in the medical literature. We report eight additional cases with dual diagnoses of two genetic conditions. All cases had a phenotype atypical for their primary diagnosis, leading to the search for a second genetic diagnosis. These cases highlight the importance of the history, physical examination and continued work-up if the phenotype of the patient falls drastically outside what has been reported with their primary diagnosis. Some of the diagnoses of the patients presented here (e.g., Myotonic Dystrophy Type 1, fascioscapulohumeral muscular dystrophy) would not have been identified by genetic testing done on a next generation sequencing backbone (e.g., panel or exome sequencing). When the clinical picture is atypical or more severe than expected the possibility of a dual diagnosis (double trouble) should be considered. Identification of a second genetic condition can impact management and genetic counseling.
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Affiliation(s)
- Fady Hannah-Shmouni
- Section on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA
| | - Rashid Al-Shahoumi
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Lauren I Brady
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Lily Wu
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Julia Frei
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Mark A Tarnopolsky
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
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Kim MJ, Yum MS, Seo GH, Lee Y, Jang HN, Ko TS, Lee BH. Clinical Application of Whole Exome Sequencing to Identify Rare but Remediable Neurologic Disorders. J Clin Med 2020; 9:jcm9113724. [PMID: 33233562 PMCID: PMC7699758 DOI: 10.3390/jcm9113724] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 11/17/2020] [Accepted: 11/18/2020] [Indexed: 12/17/2022] Open
Abstract
Background: The aim of this study was to describe the application of whole exome sequencing (WES) in the accurate genetic diagnosis and personalized treatment of extremely rare neurogenetic disorders. Methods: From 2017 to 2019, children with neurodevelopmental symptoms were evaluated using WES in the pediatric neurology clinic and medical genetics center. The clinical presentation, laboratory findings including the genetic results from WES, and diagnosis-based treatment and outcomes of the four patients are discussed. Results: A total of 376 children with neurodevelopmental symptom were evaluated by WES, and four patients (1.1%) were diagnosed with treatable neurologic disorders. Patient 1 (Pt 1) showed global muscle hypotonia, dysmorphic facial features, and multiple anomalies beginning in the perinatal period. Pt 1 was diagnosed with congenital myasthenic syndrome 22 of PREPL deficiency. Pt 2 presented with hypotonia and developmental arrest and was diagnosed with autosomal recessive dopa-responsive dystonia due to TH deficiency. Pt 3, who suffered from intractable epilepsy and progressive cognitive decline, was diagnosed with epileptic encephalopathy 47 with a heterozygous FGF12 mutation. Pt 4 presented with motor delay and episodic ataxia and was diagnosed with episodic ataxia type II (heterozygous CACNA1A mutation). The patients’ major neurologic symptoms were remarkably relieved with pyridostigmine (Pt 1), levodopa (Pt 2), sodium channel blocker (Pt 3), and acetazolamide (Pt 4), and most patients regained developmental milestones in the follow-up period (0.4 to 3 years). Conclusions: The early application of WES helps in the identification of extremely rare genetic diseases, for which effective treatment modalities exist. Ultimately, WES resulted in optimal clinical outcomes of affected patients.
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Affiliation(s)
- Min-Jee Kim
- Department of Pediatrics, Asan Medical Center Children’s Hospital, Ulsan University College of Medicine 88, Olympic-ro 43-Gil, Songpa-Gu, Seoul 05505, Korea; (M.-J.K.); (H.N.J.); (T.-S.K.)
| | - Mi-Sun Yum
- Department of Pediatrics, Asan Medical Center Children’s Hospital, Ulsan University College of Medicine 88, Olympic-ro 43-Gil, Songpa-Gu, Seoul 05505, Korea; (M.-J.K.); (H.N.J.); (T.-S.K.)
- Correspondence: ; Tel.: +82-2-3010-3386; Fax: +82-2-3010-3356
| | - Go Hun Seo
- 3billion Inc., Seoul 06193, Korea; (G.H.S.); (B.H.L.)
| | - Yena Lee
- Department of Genetics, Asan Medical Center, Ulsan University College of Medicine, 88, Olympic-ro 43-Gil, Songpa-Gu, Seoul 05505, Korea;
| | - Han Na Jang
- Department of Pediatrics, Asan Medical Center Children’s Hospital, Ulsan University College of Medicine 88, Olympic-ro 43-Gil, Songpa-Gu, Seoul 05505, Korea; (M.-J.K.); (H.N.J.); (T.-S.K.)
| | - Tae-Sung Ko
- Department of Pediatrics, Asan Medical Center Children’s Hospital, Ulsan University College of Medicine 88, Olympic-ro 43-Gil, Songpa-Gu, Seoul 05505, Korea; (M.-J.K.); (H.N.J.); (T.-S.K.)
| | - Beom Hee Lee
- 3billion Inc., Seoul 06193, Korea; (G.H.S.); (B.H.L.)
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27
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Beecroft SJ, Lamont PJ, Edwards S, Goullée H, Davis MR, Laing NG, Ravenscroft G. The Impact of Next-Generation Sequencing on the Diagnosis, Treatment, and Prevention of Hereditary Neuromuscular Disorders. Mol Diagn Ther 2020; 24:641-652. [PMID: 32997275 DOI: 10.1007/s40291-020-00495-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/05/2020] [Indexed: 12/13/2022]
Abstract
The impact of high-throughput sequencing in genetic neuromuscular disorders cannot be overstated. The ability to rapidly and affordably sequence multiple genes simultaneously has enabled a second golden age of Mendelian disease gene discovery, with flow-on impacts for rapid genetic diagnosis, evidence-based treatment, tailored therapy development, carrier-screening, and prevention of disease recurrence in families. However, there are likely many more neuromuscular disease genes and mechanisms to be discovered. Many patients and families remain without a molecular diagnosis following targeted panel sequencing, clinical exome sequencing, or even genome sequencing. Here we review how massively parallel, or next-generation, sequencing has changed the field of genetic neuromuscular disorders, and anticipate future benefits of recent technological innovations such as RNA-seq implementation and detection of tandem repeat expansions from short-read sequencing.
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Affiliation(s)
- Sarah J Beecroft
- Neurogenetic Diseases Group, Centre for Medical Research, QEII Medical Centre, University of Western Australia, 6 Verdun St, Nedlands, WA, 6009, Australia.,Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, 6009, Australia
| | | | - Samantha Edwards
- Neurogenetic Diseases Group, Centre for Medical Research, QEII Medical Centre, University of Western Australia, 6 Verdun St, Nedlands, WA, 6009, Australia.,Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, 6009, Australia
| | - Hayley Goullée
- Neurogenetic Diseases Group, Centre for Medical Research, QEII Medical Centre, University of Western Australia, 6 Verdun St, Nedlands, WA, 6009, Australia.,Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, 6009, Australia
| | - Mark R Davis
- Neurogenetic Unit, Department of Diagnostic Genomics, PP Block, QEII Medical Centre, Nedlands, WA, Australia
| | - Nigel G Laing
- Neurogenetic Diseases Group, Centre for Medical Research, QEII Medical Centre, University of Western Australia, 6 Verdun St, Nedlands, WA, 6009, Australia.,Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, 6009, Australia.,Neurogenetic Clinic, Royal Perth Hospital, Perth, Australia
| | - Gianina Ravenscroft
- Neurogenetic Diseases Group, Centre for Medical Research, QEII Medical Centre, University of Western Australia, 6 Verdun St, Nedlands, WA, 6009, Australia. .,Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, 6009, Australia.
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28
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Rexach J, Lee H, Martinez-Agosto JA, Németh AH, Fogel BL. Clinical application of next-generation sequencing to the practice of neurology. Lancet Neurol 2020; 18:492-503. [PMID: 30981321 DOI: 10.1016/s1474-4422(19)30033-x] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 12/21/2018] [Accepted: 01/02/2019] [Indexed: 01/05/2023]
Abstract
Next-generation sequencing technologies allow for rapid and inexpensive large-scale genomic analysis, creating unprecedented opportunities to integrate genomic data into the clinical diagnosis and management of neurological disorders. However, the scale and complexity of these data make them difficult to interpret and require the use of sophisticated bioinformatics applied to extensive datasets, including whole exome and genome sequences. Detailed analysis of genetic data has shown that accurate phenotype information is essential for correct interpretation of genetic variants and might necessitate re-evaluation of the patient in some cases. A multidisciplinary approach that incorporates bioinformatics, clinical evaluation, and human genetics can help to address these challenges. However, despite numerous studies that show the efficacy of next-generation sequencing in establishing molecular diagnoses, pathogenic mutations are generally identified in fewer than half of all patients with genetic neurological disorders, exposing considerable gaps in the understanding of the human genome and providing opportunities to focus research on improving the usefulness of genomics in clinical practice. Looking forward, the emergence of precision health in neurological care will increasingly apply genomic data analysis to pharmacogenetics, preventive medicine, and patient-targeted therapies.
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Affiliation(s)
- Jessica Rexach
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Hane Lee
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Julian A Martinez-Agosto
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA; Division of Medical Genetics, Department of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Andrea H Németh
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Oxford Centre for Genomic Medicine, Oxford University Hospitals National Health Service Foundation Trust, Oxford, UK
| | - Brent L Fogel
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA; Clinical Neurogenomics Research Center, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
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29
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Thuriot F, Gravel E, Buote C, Doyon M, Lapointe E, Marcoux L, Larue S, Nadeau A, Chénier S, Waters PJ, Jacques PÉ, Gravel S, Lévesque S. Molecular diagnosis of muscular diseases in outpatient clinics: A Canadian perspective. NEUROLOGY-GENETICS 2020; 6:e408. [PMID: 32337335 PMCID: PMC7164974 DOI: 10.1212/nxg.0000000000000408] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 01/24/2020] [Indexed: 12/18/2022]
Abstract
Objective To evaluate the diagnostic yield of an 89-gene panel in a large cohort of patients with suspected muscle disorders and to compare the diagnostic yield of gene panel and exome sequencing approaches. Methods We tested 1,236 patients from outpatient clinics across Canada using a gene panel and performed exome sequencing for 46 other patients with sequential analysis of 89 genes followed by all mendelian genes. Sequencing and analysis were performed in patients with muscle weakness or symptoms suggestive of a muscle disorder and showing at least 1 supporting clinical laboratory. Results We identified a molecular diagnosis in 187 (15.1%) of the 1,236 patients tested with the 89-gene panel. Diagnoses were distributed across 40 different genes, but 6 (DMD, RYR1, CAPN3, PYGM, DYSF, and FKRP) explained about half of all cases. Cardiac anomalies, positive family history, age <60 years, and creatine kinase >1,000 IU/L were all associated with increased diagnostic yield. Exome sequencing identified a diagnosis in 10 (21.7%) of the 46 patients tested. Among these, 3 were attributed to genes not included in the 89-gene panel. Despite differences in median coverage, only 1 of the 187 diagnoses that were identified on gene panel in the 1,236 patients could have been potentially missed if exome sequencing had been performed instead. Conclusions Our study supports the use of gene panel testing in patients with suspected muscle disorders from outpatient clinics. It also shows that exome sequencing has a low risk of missing diagnoses compared with gene panel, while potentially increasing the diagnostic yield of patients with muscle disorders.
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Affiliation(s)
- Fanny Thuriot
- Department of Pediatrics (F.T., E.G., C.B., M.D., L.M., A.N., S.C., P.J.W., S.G., S. Lévesque), Université de Sherbrooke; Sherbrooke Genomic Medicine (F.T., E.G., C.B., S.G., S. Lévesque); RNomic's Platform (E.L.), Université de Sherbrooke; Department of Neurology (S. Larue), Notre-Dame Hospital, Université de Montréal; Department of Biology (P.-É.J.), Université de Sherbrooke; and Department of Computer Sciences (P.-É.J.), Université de Sherbrooke, Quebec, Canada
| | - Elaine Gravel
- Department of Pediatrics (F.T., E.G., C.B., M.D., L.M., A.N., S.C., P.J.W., S.G., S. Lévesque), Université de Sherbrooke; Sherbrooke Genomic Medicine (F.T., E.G., C.B., S.G., S. Lévesque); RNomic's Platform (E.L.), Université de Sherbrooke; Department of Neurology (S. Larue), Notre-Dame Hospital, Université de Montréal; Department of Biology (P.-É.J.), Université de Sherbrooke; and Department of Computer Sciences (P.-É.J.), Université de Sherbrooke, Quebec, Canada
| | - Caroline Buote
- Department of Pediatrics (F.T., E.G., C.B., M.D., L.M., A.N., S.C., P.J.W., S.G., S. Lévesque), Université de Sherbrooke; Sherbrooke Genomic Medicine (F.T., E.G., C.B., S.G., S. Lévesque); RNomic's Platform (E.L.), Université de Sherbrooke; Department of Neurology (S. Larue), Notre-Dame Hospital, Université de Montréal; Department of Biology (P.-É.J.), Université de Sherbrooke; and Department of Computer Sciences (P.-É.J.), Université de Sherbrooke, Quebec, Canada
| | - Marianne Doyon
- Department of Pediatrics (F.T., E.G., C.B., M.D., L.M., A.N., S.C., P.J.W., S.G., S. Lévesque), Université de Sherbrooke; Sherbrooke Genomic Medicine (F.T., E.G., C.B., S.G., S. Lévesque); RNomic's Platform (E.L.), Université de Sherbrooke; Department of Neurology (S. Larue), Notre-Dame Hospital, Université de Montréal; Department of Biology (P.-É.J.), Université de Sherbrooke; and Department of Computer Sciences (P.-É.J.), Université de Sherbrooke, Quebec, Canada
| | - Elvy Lapointe
- Department of Pediatrics (F.T., E.G., C.B., M.D., L.M., A.N., S.C., P.J.W., S.G., S. Lévesque), Université de Sherbrooke; Sherbrooke Genomic Medicine (F.T., E.G., C.B., S.G., S. Lévesque); RNomic's Platform (E.L.), Université de Sherbrooke; Department of Neurology (S. Larue), Notre-Dame Hospital, Université de Montréal; Department of Biology (P.-É.J.), Université de Sherbrooke; and Department of Computer Sciences (P.-É.J.), Université de Sherbrooke, Quebec, Canada
| | - Lydia Marcoux
- Department of Pediatrics (F.T., E.G., C.B., M.D., L.M., A.N., S.C., P.J.W., S.G., S. Lévesque), Université de Sherbrooke; Sherbrooke Genomic Medicine (F.T., E.G., C.B., S.G., S. Lévesque); RNomic's Platform (E.L.), Université de Sherbrooke; Department of Neurology (S. Larue), Notre-Dame Hospital, Université de Montréal; Department of Biology (P.-É.J.), Université de Sherbrooke; and Department of Computer Sciences (P.-É.J.), Université de Sherbrooke, Quebec, Canada
| | - Sandrine Larue
- Department of Pediatrics (F.T., E.G., C.B., M.D., L.M., A.N., S.C., P.J.W., S.G., S. Lévesque), Université de Sherbrooke; Sherbrooke Genomic Medicine (F.T., E.G., C.B., S.G., S. Lévesque); RNomic's Platform (E.L.), Université de Sherbrooke; Department of Neurology (S. Larue), Notre-Dame Hospital, Université de Montréal; Department of Biology (P.-É.J.), Université de Sherbrooke; and Department of Computer Sciences (P.-É.J.), Université de Sherbrooke, Quebec, Canada
| | - Amélie Nadeau
- Department of Pediatrics (F.T., E.G., C.B., M.D., L.M., A.N., S.C., P.J.W., S.G., S. Lévesque), Université de Sherbrooke; Sherbrooke Genomic Medicine (F.T., E.G., C.B., S.G., S. Lévesque); RNomic's Platform (E.L.), Université de Sherbrooke; Department of Neurology (S. Larue), Notre-Dame Hospital, Université de Montréal; Department of Biology (P.-É.J.), Université de Sherbrooke; and Department of Computer Sciences (P.-É.J.), Université de Sherbrooke, Quebec, Canada
| | - Sébastien Chénier
- Department of Pediatrics (F.T., E.G., C.B., M.D., L.M., A.N., S.C., P.J.W., S.G., S. Lévesque), Université de Sherbrooke; Sherbrooke Genomic Medicine (F.T., E.G., C.B., S.G., S. Lévesque); RNomic's Platform (E.L.), Université de Sherbrooke; Department of Neurology (S. Larue), Notre-Dame Hospital, Université de Montréal; Department of Biology (P.-É.J.), Université de Sherbrooke; and Department of Computer Sciences (P.-É.J.), Université de Sherbrooke, Quebec, Canada
| | - Paula J Waters
- Department of Pediatrics (F.T., E.G., C.B., M.D., L.M., A.N., S.C., P.J.W., S.G., S. Lévesque), Université de Sherbrooke; Sherbrooke Genomic Medicine (F.T., E.G., C.B., S.G., S. Lévesque); RNomic's Platform (E.L.), Université de Sherbrooke; Department of Neurology (S. Larue), Notre-Dame Hospital, Université de Montréal; Department of Biology (P.-É.J.), Université de Sherbrooke; and Department of Computer Sciences (P.-É.J.), Université de Sherbrooke, Quebec, Canada
| | - Pierre-Étienne Jacques
- Department of Pediatrics (F.T., E.G., C.B., M.D., L.M., A.N., S.C., P.J.W., S.G., S. Lévesque), Université de Sherbrooke; Sherbrooke Genomic Medicine (F.T., E.G., C.B., S.G., S. Lévesque); RNomic's Platform (E.L.), Université de Sherbrooke; Department of Neurology (S. Larue), Notre-Dame Hospital, Université de Montréal; Department of Biology (P.-É.J.), Université de Sherbrooke; and Department of Computer Sciences (P.-É.J.), Université de Sherbrooke, Quebec, Canada
| | - Serge Gravel
- Department of Pediatrics (F.T., E.G., C.B., M.D., L.M., A.N., S.C., P.J.W., S.G., S. Lévesque), Université de Sherbrooke; Sherbrooke Genomic Medicine (F.T., E.G., C.B., S.G., S. Lévesque); RNomic's Platform (E.L.), Université de Sherbrooke; Department of Neurology (S. Larue), Notre-Dame Hospital, Université de Montréal; Department of Biology (P.-É.J.), Université de Sherbrooke; and Department of Computer Sciences (P.-É.J.), Université de Sherbrooke, Quebec, Canada
| | - Sébastien Lévesque
- Department of Pediatrics (F.T., E.G., C.B., M.D., L.M., A.N., S.C., P.J.W., S.G., S. Lévesque), Université de Sherbrooke; Sherbrooke Genomic Medicine (F.T., E.G., C.B., S.G., S. Lévesque); RNomic's Platform (E.L.), Université de Sherbrooke; Department of Neurology (S. Larue), Notre-Dame Hospital, Université de Montréal; Department of Biology (P.-É.J.), Université de Sherbrooke; and Department of Computer Sciences (P.-É.J.), Université de Sherbrooke, Quebec, Canada
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30
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Saha M, Rizzo SA, Ramanathan M, Hightower RM, Santostefano KE, Terada N, Finkel RS, Berg JS, Chahin N, Pacak CA, Wagner RE, Alexander MS, Draper I, Kang PB. Selective serotonin reuptake inhibitors ameliorate MEGF10 myopathy. Hum Mol Genet 2020; 28:2365-2377. [PMID: 31267131 DOI: 10.1093/hmg/ddz064] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 03/18/2019] [Accepted: 03/21/2019] [Indexed: 02/02/2023] Open
Abstract
MEGF10 myopathy is a rare inherited muscle disease that is named after the causative gene, MEGF10. The classic phenotype, early onset myopathy, areflexia, respiratory distress and dysphagia, is severe and immediately life-threatening. There are no disease-modifying therapies. We performed a small molecule screen and follow-up studies to seek a novel therapy. A primary in vitro drug screen assessed cellular proliferation patterns in Megf10-deficient myoblasts. Secondary evaluations were performed on primary screen hits using myoblasts derived from Megf10-/- mice, induced pluripotent stem cell-derived myoblasts from MEGF10 myopathy patients, mutant Drosophila that are deficient in the homologue of MEGF10 (Drpr) and megf10 mutant zebrafish. The screen yielded two promising candidates that are both selective serotonin reuptake inhibitors (SSRIs), sertraline and escitalopram. In depth follow-up analyses demonstrated that sertraline was highly effective in alleviating abnormalities across multiple models of the disease including mouse myoblast, human myoblast, Drosophila and zebrafish models. Sertraline also restored deficiencies of Notch1 in disease models. We conclude that SSRIs show promise as potential therapeutic compounds for MEGF10 myopathy, especially sertraline. The mechanism of action may involve the Notch pathway.
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Affiliation(s)
- Madhurima Saha
- Division of Pediatric Neurology, Department of Pediatrics, University of Florida College of Medicine, Gainesville, FL, USA
| | - Skylar A Rizzo
- Division of Pediatric Neurology, Department of Pediatrics, University of Florida College of Medicine, Gainesville, FL, USA.,Medosome Biotec, Alachua, FL, USA
| | - Manashwi Ramanathan
- Division of Pediatric Neurology, Department of Pediatrics, University of Florida College of Medicine, Gainesville, FL, USA
| | - Rylie M Hightower
- Department of Pediatrics, Division of Pediatric Neurology, Children's of Alabama and the University of Alabama at Birmingham, Birmingham, AL, USA.,University of Alabama Birmingham, Center for Exercise Medicine Birmingham, AL, USA
| | - Katherine E Santostefano
- Center for Cellular Reprogramming, Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL, USA
| | - Naohiro Terada
- Center for Cellular Reprogramming, Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL, USA
| | - Richard S Finkel
- Division of Pediatric Neurology, Nemours Children's Hospital, Orlando, FL, USA
| | - Jonathan S Berg
- Department of Genetics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Nizar Chahin
- Department of Neurology, Neuromuscular Division, Oregon Health and Science University, Portland, Oregon, USA
| | - Christina A Pacak
- Department of Pediatrics, University of Florida College of Medicine, Gainesville, FL, USA
| | | | - Matthew S Alexander
- Department of Pediatrics, Division of Pediatric Neurology, Children's of Alabama and the University of Alabama at Birmingham, Birmingham, AL, USA.,University of Alabama Birmingham, Center for Exercise Medicine Birmingham, AL, USA.,Department of Genetics, University of Alabama Birmingham, Birmingham, AL, USA.,Civitan International Research Center at University of Alabama Birmingham, Birmingham, AL, USA
| | - Isabelle Draper
- Department of Medicine, Tufts Medical Center, Molecular Cardiology Research Institute, Boston, MA, USA
| | - Peter B Kang
- Division of Pediatric Neurology, Department of Pediatrics, University of Florida College of Medicine, Gainesville, FL, USA.,Department of Molecular Genetics and Microbiology and Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA.,Genetics Institute and Myology Institute, University of Florida, Gainesville, FL, USA
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31
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Tsang MHY, Chiu ATG, Kwong BMH, Liang R, Yu MHC, Yeung KS, Ho WHL, Mak CCY, Leung GKC, Pei SLC, Fung JLF, Wong VCN, Muntoni F, Chung BHY, Chan SHS. Diagnostic value of whole-exome sequencing in Chinese pediatric-onset neuromuscular patients. Mol Genet Genomic Med 2020; 8:e1205. [PMID: 32154989 PMCID: PMC7216811 DOI: 10.1002/mgg3.1205] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 02/08/2020] [Accepted: 02/22/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Neuromuscular disorders (NMDs) comprise a group of heterogeneous genetic diseases with a broad spectrum of overlapping the clinical presentations that makes diagnosis challenging. Notably, the recent introduction of whole-exome sequencing (WES) is introducing rapid changes on the genetic diagnosis of NMDs. We aimed to investigate the diagnostic value of WES for pediatric-onset NMDs. METHODS We applied integrated diagnostic approach and performed WES in 50 Chinese subjects (30 males, 20 females) with undiagnosed pediatric-onset NMDs despite previous specific tests. The patients were categorized in four subgroups according to phenotyping and investigation findings. Variants on NMDs gene list and open exome analysis for those with initial negative findings were identified. RESULTS WES identified causative variants in ACTA1 (n = 2), POMT1, COL6A1 (n = 2), MTMR2, LMNA, SELENON, DNM2, TGFB1, MPZ, IGHMBP2, and LAMA2 in 13 patients. Two subjects have variants of uncertain significance (VUSs) in TTN and SCN11A, unlikely to be pathogenic due to incompatible phenotypes. The mean interval time from symptom onset to genetic diagnosis was 10.4 years (range from 1 month to 33 years). The overall diagnostic yield of WES in our cohort was 26%. Open exome analysis was necessary to identify the pathogenic variant in TGFB1 that caused skeletal dysplasia with neuromuscular presentation. CONCLUSION Our study shows a clear role of WES in the pathway of integrated diagnostic approach to shorten the diagnostic odyssey in patients with rare NMDs.
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Affiliation(s)
- Mandy H Y Tsang
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Annie T G Chiu
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Bernard M H Kwong
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Rui Liang
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Mullin H C Yu
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Kit-San Yeung
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Wetor H L Ho
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Christopher C Y Mak
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Gordon K C Leung
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Steven L C Pei
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Jasmine L F Fung
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Virginia C N Wong
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Francesco Muntoni
- Dubowitz Neuromuscular Centre, University College London, Institute of Child Health, London, UK
| | - Brian H Y Chung
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Sophelia H S Chan
- Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
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Clinical exome sequencing in neuromuscular diseases: an experience from Turkey. Neurol Sci 2020; 41:2157-2164. [PMID: 32140910 DOI: 10.1007/s10072-020-04304-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 02/20/2020] [Indexed: 02/08/2023]
Abstract
Neuromuscular diseases (NMDs) encompass a variety of ailments from muscular dystrophies to ataxias, in the course of which the functioning of the muscles is eventually either directly or indirectly impaired. The clinical diagnosis of a particular NMD is not always straightforward due to the clinical and genetic heterogeneity of the disorders under investigation. Traditional diagnostic tools such as electrophysiological tests and muscle biopsies are both invasive and painful methods, causing the patients to be reluctant. Next-generation sequencing, on the other hand, emerged as an alternative method for the diagnosis of NMDs, both with its minimally invasive nature and fast processing period. In this study, clinical exome sequencing (CES) was applied to a cohort of 70 probands in Turkey, 44 of whom received a final diagnosis, representing a diagnostic rate of 62.9%. Out of the 50 mutations identified to be causal, 26 were novel in the known 27 NMD genes. Two probands had complex/blended phenotypes. Molecular confirmation of clinical diagnosis of NMDs has a major prognostic impact and is crucial for the management and the possibility of alternative reproductive options. CES, which has been increasingly adopted to diagnose single-gene disorders, is also a powerful tool for revealing the etiopathogenesis in complex/blended phenotypes, as observed in two probands of the cohort.
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Beecroft SJ, Yau KS, Allcock RJN, Mina K, Gooding R, Faiz F, Atkinson VJ, Wise C, Sivadorai P, Trajanoski D, Kresoje N, Ong R, Duff RM, Cabrera‐Serrano M, Nowak KJ, Pachter N, Ravenscroft G, Lamont PJ, Davis MR, Laing NG. Targeted gene panel use in 2249 neuromuscular patients: the Australasian referral center experience. Ann Clin Transl Neurol 2020; 7:353-362. [PMID: 32153140 PMCID: PMC7086001 DOI: 10.1002/acn3.51002] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 01/28/2020] [Accepted: 02/06/2020] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To develop, test, and iterate a comprehensive neuromuscular targeted gene panel in a national referral center. METHODS We designed two iterations of a comprehensive targeted gene panel for neuromuscular disorders. Version 1 included 336 genes, which was increased to 464 genes in Version 2. Both panels used TargetSeqTM probe-based hybridization for target enrichment followed by Ion Torrent sequencing. Targeted high-coverage sequencing and analysis was performed on 2249 neurology patients from Australia and New Zealand (1054 Version 1, 1195 Version 2) from 2012 to 2015. No selection criteria were used other than referral from a suitable medical specialist (e.g., neurologist or clinical geneticist). Patients were classified into 15 clinical categories based on the clinical diagnosis from the referring clinician. RESULTS Six hundred and sixty-five patients received a genetic diagnosis (30%). Diagnosed patients were significantly younger that undiagnosed patients (26.4 and 32.5 years, respectively; P = 4.6326E-9). The diagnostic success varied markedly between disease categories. Pathogenic variants in 10 genes explained 38% of the disease burden. Unexpected phenotypic expansions were discovered in multiple cases. Triage of unsolved cases for research exome testing led to the discovery of six new disease genes. INTERPRETATION A comprehensive targeted diagnostic panel was an effective method for neuromuscular disease diagnosis within the context of an Australasian referral center. Use of smaller disease-specific panels would have precluded diagnosis in many patients and increased cost. Analysis through a centralized laboratory facilitated detection of recurrent, but under-recognized pathogenic variants.
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Affiliation(s)
- Sarah J. Beecroft
- Centre for Medical ResearchUniversity of Western AustraliaHarry Perkins Institute of Medical ResearchQEII Medical CentreNedlandsWestern AustraliaAustralia
| | - Kyle S. Yau
- Centre for Medical ResearchUniversity of Western AustraliaHarry Perkins Institute of Medical ResearchQEII Medical CentreNedlandsWestern AustraliaAustralia
| | - Richard J. N. Allcock
- School of Biomedical SciencesUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Kym Mina
- Department of Diagnostic GenomicsDepartment of HealthPathWest Laboratory MedicineQEII Medical CentreNedlandsWestern AustraliaAustralia
| | - Rebecca Gooding
- Department of Diagnostic GenomicsDepartment of HealthPathWest Laboratory MedicineQEII Medical CentreNedlandsWestern AustraliaAustralia
| | - Fathimath Faiz
- Department of Diagnostic GenomicsDepartment of HealthPathWest Laboratory MedicineQEII Medical CentreNedlandsWestern AustraliaAustralia
| | - Vanessa J. Atkinson
- School of Biomedical SciencesUniversity of Western AustraliaPerthWestern AustraliaAustralia
- Department of Diagnostic GenomicsDepartment of HealthPathWest Laboratory MedicineQEII Medical CentreNedlandsWestern AustraliaAustralia
| | - Cheryl Wise
- Department of Diagnostic GenomicsDepartment of HealthPathWest Laboratory MedicineQEII Medical CentreNedlandsWestern AustraliaAustralia
| | - Padma Sivadorai
- Department of Diagnostic GenomicsDepartment of HealthPathWest Laboratory MedicineQEII Medical CentreNedlandsWestern AustraliaAustralia
| | - Daniel Trajanoski
- Department of Diagnostic GenomicsDepartment of HealthPathWest Laboratory MedicineQEII Medical CentreNedlandsWestern AustraliaAustralia
| | - Nina Kresoje
- School of Biomedical SciencesUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Royston Ong
- Centre for Medical ResearchUniversity of Western AustraliaHarry Perkins Institute of Medical ResearchQEII Medical CentreNedlandsWestern AustraliaAustralia
| | - Rachael M. Duff
- Centre for Medical ResearchUniversity of Western AustraliaHarry Perkins Institute of Medical ResearchQEII Medical CentreNedlandsWestern AustraliaAustralia
| | - Macarena Cabrera‐Serrano
- Department of NeurologyHospital Universitario Virgen del RocioInstituto de Biomedicina de SevillaCSICUniversidad de SevillaSevillaSpain
| | - Kristen J. Nowak
- Centre for Medical ResearchUniversity of Western AustraliaHarry Perkins Institute of Medical ResearchQEII Medical CentreNedlandsWestern AustraliaAustralia
- Public and Aboriginal Health DivisionDepartment of HealthOffice of Population Health GenomicsPerthWestern AustraliaAustralia
| | - Nicholas Pachter
- Genetic Services of Western AustraliaDepartment of HealthGovernment of Western AustraliaPerthWestern AustraliaAustralia
- School of Paediatrics and Child HealthUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Gianina Ravenscroft
- Centre for Medical ResearchUniversity of Western AustraliaHarry Perkins Institute of Medical ResearchQEII Medical CentreNedlandsWestern AustraliaAustralia
| | | | - Mark R. Davis
- Department of Diagnostic GenomicsDepartment of HealthPathWest Laboratory MedicineQEII Medical CentreNedlandsWestern AustraliaAustralia
| | - Nigel G. Laing
- Centre for Medical ResearchUniversity of Western AustraliaHarry Perkins Institute of Medical ResearchQEII Medical CentreNedlandsWestern AustraliaAustralia
- Department of Diagnostic GenomicsDepartment of HealthPathWest Laboratory MedicineQEII Medical CentreNedlandsWestern AustraliaAustralia
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Papandreou A, Danti FR, Spaull R, Leuzzi V, Mctague A, Kurian MA. The expanding spectrum of movement disorders in genetic epilepsies. Dev Med Child Neurol 2020; 62:178-191. [PMID: 31784983 DOI: 10.1111/dmcn.14407] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/01/2019] [Indexed: 12/27/2022]
Abstract
An ever-increasing number of neurogenetic conditions presenting with both epilepsy and atypical movements are now recognized. These disorders within the 'genetic epilepsy-dyskinesia' spectrum are clinically and genetically heterogeneous. Increased clinical awareness is therefore necessary for a rational diagnostic approach. Furthermore, careful interpretation of genetic results is key to establishing the correct diagnosis and initiating disease-specific management strategies in a timely fashion. In this review we describe the spectrum of movement disorders associated with genetically determined epilepsies. We also propose diagnostic strategies and putative pathogenic mechanisms causing these complex syndromes associated with both seizures and atypical motor control. WHAT THIS PAPER ADDS: Implicated genes encode proteins with very diverse functions. Pathophysiological mechanisms by which epilepsy and movement disorder phenotypes manifest are often not clear. Early diagnosis of treatable disorders is essential and next generation sequencing may be required.
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Affiliation(s)
- Apostolos Papandreou
- Molecular Neurosciences, Developmental Neurosciences Programme, UCL Great Ormond Street Institute of Child Health, London, UK
- Department of Neurology, Great Ormond Street Hospital, London, UK
| | - Federica Rachele Danti
- Molecular Neurosciences, Developmental Neurosciences Programme, UCL Great Ormond Street Institute of Child Health, London, UK
- Department of Human Neuroscience, Unit of Child Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Robert Spaull
- Department of Paediatric Neurology, Bristol Royal Hospital for Children, Bristol, UK
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Vincenzo Leuzzi
- Department of Human Neuroscience, Unit of Child Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Amy Mctague
- Molecular Neurosciences, Developmental Neurosciences Programme, UCL Great Ormond Street Institute of Child Health, London, UK
- Department of Neurology, Great Ormond Street Hospital, London, UK
| | - Manju A Kurian
- Molecular Neurosciences, Developmental Neurosciences Programme, UCL Great Ormond Street Institute of Child Health, London, UK
- Department of Neurology, Great Ormond Street Hospital, London, UK
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Krenn M, Tomschik M, Rath J, Cetin H, Grisold A, Zulehner G, Milenkovic I, Stogmann E, Zimprich A, Strom TM, Meitinger T, Wagner M, Zimprich F. Genotype-guided diagnostic reassessment after exome sequencing in neuromuscular disorders: experiences with a two-step approach. Eur J Neurol 2019; 27:51-61. [PMID: 31407473 PMCID: PMC6916592 DOI: 10.1111/ene.14033] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 07/05/2019] [Indexed: 01/03/2023]
Abstract
Background and purpose Next‐generation sequencing has greatly improved the diagnostic success rates for genetic neuromuscular disorders (NMDs). Nevertheless, most patients still remain undiagnosed, and there is a need to maximize the diagnostic yield. Methods A retrospective study was conducted on 72 patients with NMDs who underwent exome sequencing (ES), partly followed by genotype‐guided diagnostic reassessment and secondary investigations. The diagnostic yields that would have been achieved by appropriately chosen narrow and comprehensive gene panels were also analysed. Results The initial diagnostic yield of ES was 30.6% (n = 22/72 patients). In an additional 15.3% of patients (n = 11/72) ES results were of unknown clinical significance. After genotype‐guided diagnostic reassessment and complementary investigations, the yield was increased to 37.5% (n = 27/72). Compared to ES, targeted gene panels (<25 kilobases) reached a diagnostic yield of 22.2% (n = 16/72), whereas comprehensive gene panels achieved 34.7% (n = 25/72). Conclusion Exome sequencing allows the detection of pathogenic variants missed by (narrowly) targeted gene panel approaches. Diagnostic reassessment after genetic testing further enhances the diagnostic outcomes for NMDs.
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Affiliation(s)
- M Krenn
- Department of Neurology, Medical University of Vienna, Vienna, Austria.,Institute of Human Genetics, Technical University Munich, Munich, Germany
| | - M Tomschik
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - J Rath
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - H Cetin
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - A Grisold
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - G Zulehner
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - I Milenkovic
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - E Stogmann
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - A Zimprich
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - T M Strom
- Institute of Human Genetics, Technical University Munich, Munich, Germany.,Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - T Meitinger
- Institute of Human Genetics, Technical University Munich, Munich, Germany.,Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - M Wagner
- Institute of Human Genetics, Technical University Munich, Munich, Germany.,Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany.,Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
| | - F Zimprich
- Department of Neurology, Medical University of Vienna, Vienna, Austria
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Yang K, Iannaccone S, Burkhalter LS, Reisch J, Cai C, Schindel D. Role of Nerve and Muscle Biopsies in Pediatric Patients in the Era of Genetic Testing. J Surg Res 2019; 243:27-32. [PMID: 31151034 DOI: 10.1016/j.jss.2019.04.085] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 04/11/2019] [Accepted: 04/26/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND An operative biopsy is an important component in the diagnosis and treatment of neuromuscular disorders (NMDs). However, recent advances in molecular genetics suggest less invasive genetic testing should be the initial approach. The purpose of our study was to demonstrate the diagnostic value of muscle or nerve biopsy within the pediatric population at a pediatric academic center and offer recommendations for genetic testing in relation to biopsy to achieve the highest diagnostic yield. METHODS Following institutional review board approval, we retrospectively reviewed the electronic medical record of 221 pediatric patients who underwent muscle and/or nerve biopsy for suspicion of NMD from January 2007 to March 2018. Demographics, family history, clinical presentations, genetic testing results, pathology results, anesthesia complications, clinical diagnoses, and clinic follow-up data were collected. Chi-square analysis was done for statistical significance. RESULTS A total of 220 underwent muscle biopsy, and 15 underwent nerve biopsy. Not all patients received genetic testing. The average age at biopsy was 7.7 y. Biopsy revealed significant histologic abnormalities in 62.9% (139), directly leading to a specific clinical diagnosis in 33.9% (75). When genetic testing was done before biopsy, definite pathogenic variants were found in 7.6% (9). When genetic testing was done after biopsy, definite pathogenic variants were found in 45.0% (27). Genetic testing yield for pathogenic variants was higher when done after biopsy (P value < 0.00001). CONCLUSIONS Muscle and nerve biopsies may provide significant diagnostic value. Biopsy helped to rule in or out NMD and guide genetic testing. Our data suggest NMD genetic testing yield was higher when done after biopsy.
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Affiliation(s)
- Kaili Yang
- Pediatric Surgery, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Susan Iannaccone
- Pediatric Surgery, Children's Medical Center, Dallas, Texas; Neurology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Lorrie S Burkhalter
- Pediatric Surgery, University of Texas Southwestern Medical Center, Dallas, Texas; Pediatric Surgery, Children's Medical Center, Dallas, Texas
| | - Joan Reisch
- Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Chunyu Cai
- Pathology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - David Schindel
- Pediatric Surgery, University of Texas Southwestern Medical Center, Dallas, Texas; Pediatric Surgery, Children's Medical Center, Dallas, Texas.
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37
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2018: Year in Review and Message from the Editors to Our Reviewers. Neurol Genet 2019. [PMCID: PMC6384019 DOI: 10.1212/nxg.0000000000000309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Nallamilli BRR, Chakravorty S, Kesari A, Tanner A, Ankala A, Schneider T, da Silva C, Beadling R, Alexander JJ, Askree SH, Whitt Z, Bean L, Collins C, Khadilkar S, Gaitonde P, Dastur R, Wicklund M, Mozaffar T, Harms M, Rufibach L, Mittal P, Hegde M. Genetic landscape and novel disease mechanisms from a large LGMD cohort of 4656 patients. Ann Clin Transl Neurol 2018; 5:1574-1587. [PMID: 30564623 PMCID: PMC6292381 DOI: 10.1002/acn3.649] [Citation(s) in RCA: 117] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Accepted: 08/28/2018] [Indexed: 12/16/2022] Open
Abstract
Objective Limb‐girdle muscular dystrophies (LGMDs), one of the most heterogeneous neuromuscular disorders (NMDs), involves predominantly proximal‐muscle weakness with >30 genes associated with different subtypes. The clinical‐genetic overlap among subtypes and with other NMDs complicate disease‐subtype identification lengthening diagnostic process, increases overall costs hindering treatment/clinical‐trial recruitment. Currently seven LGMD clinical trials are active but still no gene‐therapy‐related treatment is available. Till‐date no nation‐wide large‐scale LGMD sequencing program was performed. Our objectives were to understand LGMD genetic basis, different subtypes’ relative prevalence across US and investigate underlying disease mechanisms. Methods A total of 4656 patients with clinically suspected‐LGMD across US were recruited to conduct next‐generation sequencing (NGS)‐based gene‐panel testing during June‐2015 to June‐2017 in CLIA‐CAP‐certified Emory‐Genetics‐Laboratory. Thirty‐five LGMD‐subtypes‐associated or LGMD‐like other NMD‐associated genes were investigated. Main outcomes were diagnostic yield, gene‐variant spectrum, and LGMD subtypes’ prevalence in a large US LGMD‐suspected population. Results Molecular diagnosis was established in 27% (1259 cases; 95% CI, 26–29%) of the patients with major contributing genes to LGMD phenotypes being: CAPN3(17%), DYSF(16%), FKRP(9%) and ANO5(7%). We observed an increased prevalence of genetically confirmed late‐onset Pompe disease, DNAJB6‐associated LGMD subtype1E and CAPN3‐associated autosomal‐dominant LGMDs. Interestingly, we identified a high prevalence of patients with pathogenic variants in more than one LGMD gene suggesting possible synergistic heterozygosity/digenic/multigenic contribution to disease presentation/progression that needs consideration as a part of diagnostic modality. Interpretation Overall, this study has improved our understanding of the relative prevalence of different LGMD subtypes, their respective genetic etiology, and the changing paradigm of their inheritance modes and novel mechanisms that will allow for improved timely treatment, management, and enrolment of molecularly diagnosed individuals in clinical trials.
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Affiliation(s)
| | | | - Akanchha Kesari
- Emory University Department of Human Genetics Atlanta Georgia 30322.,EGL Genetics-Eurofins Tucker Atlanta Georgia 30084
| | - Alice Tanner
- Emory University Department of Human Genetics Atlanta Georgia 30322.,EGL Genetics-Eurofins Tucker Atlanta Georgia 30084
| | - Arunkanth Ankala
- Emory University Department of Human Genetics Atlanta Georgia 30322.,EGL Genetics-Eurofins Tucker Atlanta Georgia 30084
| | | | | | | | - John J Alexander
- Emory University Department of Human Genetics Atlanta Georgia 30322.,EGL Genetics-Eurofins Tucker Atlanta Georgia 30084
| | - Syed Hussain Askree
- Emory University Department of Human Genetics Atlanta Georgia 30322.,EGL Genetics-Eurofins Tucker Atlanta Georgia 30084
| | - Zachary Whitt
- Emory University Department of Human Genetics Atlanta Georgia 30322.,Augusta University Augusta Georgia 30912
| | - Lora Bean
- Emory University Department of Human Genetics Atlanta Georgia 30322.,EGL Genetics-Eurofins Tucker Atlanta Georgia 30084
| | - Christin Collins
- Emory University Department of Human Genetics Atlanta Georgia 30322
| | - Satish Khadilkar
- Department of Neurology Bombay Hospital Mumbai Maharashtra India.,Department of Neurology Sir J J Group of Hospitals Grant Medical College Mumbai Maharashtra India
| | - Pradnya Gaitonde
- Centre for Advanced Molecular Diagnostics in Neuromuscular Disorders (CAMDND) 400022 Mumbai India
| | - Rashna Dastur
- Centre for Advanced Molecular Diagnostics in Neuromuscular Disorders (CAMDND) 400022 Mumbai India
| | - Matthew Wicklund
- Neurology The University of Colorado at Denver - Anschutz Medical Campus Aurora Colorado 80045
| | - Tahseen Mozaffar
- Neurology University of California, Irvine Orange California 92868
| | - Matthew Harms
- Department of Neurology Columbia University New York New York 10032
| | | | | | - Madhuri Hegde
- Emory University Department of Human Genetics Atlanta Georgia 30322
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Jayasinghe K, Quinlan C, Stark Z, Patel C, Mallawaarachchi A, Wardrop L, Kerr PG, Trnka P, Mallett AJ. Renal genetics in Australia: Kidney medicine in the genomic age. Nephrology (Carlton) 2018; 24:279-286. [PMID: 30239064 PMCID: PMC6587832 DOI: 10.1111/nep.13494] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/10/2018] [Indexed: 12/17/2022]
Abstract
There have been few new therapies for patients with chronic kidney disease in the last decade. However, the management of patients affected by genetic kidney disease is rapidly evolving. Inherited or genetic kidney disease affects around 10% of adults with end‐stage kidney disease and up to 70% of children with early onset kidney disease. Advances in next‐generation sequencing have enabled rapid and cost‐effective sequencing of large amounts of DNA. Next‐generation sequencing‐based diagnostic tests now enable identification of a monogenic cause in around 20% of patients with early‐onset chronic kidney disease. A definitive diagnosis through genomic testing may negate the need for prolonged diagnostic investigations and surveillance, facilitate reproductive planning and provide accurate counselling for at‐risk relatives. Genomics has allowed the better understanding of disease pathogenesis, providing prognostic information and facilitating development of targeted treatments for patients with inherited or genetic kidney disease. Although genomic testing is becoming more readily available, there are many challenges to implementation in clinical practice. Multidisciplinary renal genetics clinics serve as a model of how some of these challenges may be overcome. Such clinics are already well established in most parts of Australia, with more to follow in future. With the rapid pace of new technology and gene discovery, collaboration between expert clinicians, laboratory and research scientists is of increasing importance to maximize benefits to patients and health‐care systems. The authors reckoned the importance of genomic testing as it allows better understanding of disease pathogenesis, provides prognostic information and facilitates development of targeted treatment, particularly for patients with inherited or genetic kidney disease.
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Affiliation(s)
- Kushani Jayasinghe
- Department of Nephrology, Monash Medical Centre, Melbourne, Victoria, Australia.,KidGen Renal Genetics Flagship, Australian Genomic Health Alliance, Melbourne, Victoria, Australia.,Monash University, Melbourne, Victoria, Australia
| | - Catherine Quinlan
- KidGen Renal Genetics Flagship, Australian Genomic Health Alliance, Melbourne, Victoria, Australia.,Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Department of Paediatric Nephrology, Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Zornitza Stark
- KidGen Renal Genetics Flagship, Australian Genomic Health Alliance, Melbourne, Victoria, Australia.,Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Chirag Patel
- KidGen Renal Genetics Flagship, Australian Genomic Health Alliance, Melbourne, Victoria, Australia.,Genetic Health Queensland, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
| | - Amali Mallawaarachchi
- Department of Medical Genomics, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Louise Wardrop
- KidGen Renal Genetics Flagship, Australian Genomic Health Alliance, Melbourne, Victoria, Australia.,Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Peter G Kerr
- Department of Nephrology, Monash Medical Centre, Melbourne, Victoria, Australia.,Monash University, Melbourne, Victoria, Australia
| | - Peter Trnka
- KidGen Renal Genetics Flagship, Australian Genomic Health Alliance, Melbourne, Victoria, Australia.,Queensland Child and Adolescent Renal Service, Queensland Children's Hospital, South Brisbane, Queensland, Australia.,Institute for Molecular Bioscience and Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.,Kidney Health Service and Conjoint Renal Research Laboratory, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
| | - Andrew J Mallett
- KidGen Renal Genetics Flagship, Australian Genomic Health Alliance, Melbourne, Victoria, Australia.,Institute for Molecular Bioscience and Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.,Kidney Health Service and Conjoint Renal Research Laboratory, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
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