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Sarıkaya Uzan G, Yılmaz Uzman C, Çinleti T, Günay Ç, Ülgenalp A, Hız Kurul S, Yiş U. Molecular Diagnosis of Limb-Girdle Muscular Dystrophy Using Next-Generation Sequencing Panels. Mol Syndromol 2024; 15:14-21. [PMID: 38357257 PMCID: PMC10862319 DOI: 10.1159/000533976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 09/01/2023] [Indexed: 02/16/2024] Open
Abstract
Introduction Limb-girdle muscular dystrophies (LGMDs) are clinically and genetically heterogeneous muscle disorders. We aimed to share the diagnostic yield of an NGS gene panel containing LGMD-related genes and our experience with LGMD. Methods Between February 2019 and October 2022, patients with a suspicion of LGMD and their relatives were reviewed in terms of demographic, clinical, and individual genetic data, age of symptom onset, sex, clinical features, LGMD types, cardiac involvement, muscle biopsy results, family history, and consanguinity. Our NGS gene panel consisted of ANO5, CAPN3, CAV3, DAG1, DES, DNAJB6, DYSF, FKTN, FLNC, FRKP, GAA, GMPPB, HNRNPDL, ISPD, LIMS2, LMNA, MYOT, PLEC, POMGNT1, POMK, POMT1, POMT2, SGCA, SGCB, SGCD, SGCG, TCAP, TNPO3, TRAPPC11, TRIM32, and TTN genes. Results The diagnosis rate was 61.1% (11/18). Twelve (80%) patients with LGMD were male and three (20%) were female. The median age was 15.9 (range, 1.5-39) years. Our patient collective was drawn up out of patients with the following variants: LGMDR1 (n = 6; 40%), LGMDR2 (n = 4; 26.6%), LGMDR3 (n = 4; 26.6%), and LGMDR12 (n = 1; 6.7%). Conclusion The present study showed that the NGS panel has a high success rate in the diagnosis of LGMD and contributes to early diagnosis.
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Affiliation(s)
- Gamze Sarıkaya Uzan
- Division of Child Neurology, Department of Pediatrics, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Ceren Yılmaz Uzman
- Division of Pediatric Genetics, Department of Pediatrics, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Tayfun Çinleti
- Division of Pediatric Genetics, Department of Pediatrics, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Çağatay Günay
- Division of Child Neurology, Department of Pediatrics, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Ayfer Ülgenalp
- Department of Medical Genetics, Faculty of Medicine, Dokuz Eylul University, İzmir, Turkey
| | - Semra Hız Kurul
- Division of Child Neurology, Department of Pediatrics, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Uluç Yiş
- Division of Child Neurology, Department of Pediatrics, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
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Meyer AP, Ma J, Brock G, Hashimoto S, Cottrell CE, Mathew M, Hunter JM, Leung ML, Corsmeier D, Jayaraman V, Waldrop MA, Flanigan KM. Exome sequencing in the pediatric neuromuscular clinic leads to more frequent diagnosis of both neuromuscular and neurodevelopmental conditions. Muscle Nerve 2023; 68:833-840. [PMID: 37789688 DOI: 10.1002/mus.27976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 09/06/2023] [Accepted: 09/10/2023] [Indexed: 10/05/2023]
Abstract
INTRODUCTION/AIMS Exome sequencing (ES) has proven to be a valuable diagnostic tool for neuromuscular disorders, which often pose a diagnostic challenge. The aims of this study were to investigate the clinical outcomes associated with utilization of ES in the pediatric neuromuscular clinic and to determine if specific phenotypic features or abnormal neurodiagnostic tests were predictive of a diagnostic result. METHODS This was a retrospective medical record review of 76 pediatric neuromuscular clinic patients who underwent ES. Based upon clinical assessment prior to ES, patients were divided into two groups: affected by neuromuscular (n = 53) or non-neuromuscular (n = 23) syndromes. RESULTS A diagnosis was made in 28/76 (36.8%), with 29 unique disorders identified. In the neuromuscular group, a neuromuscular condition was confirmed in 78% of those receiving a genetic diagnosis. Early age of symptom onset was associated with a significantly higher diagnostic yield. The most common reason neuromuscular diagnoses were not detected on prior testing was due to causative genes not being present on disease-specific panels. Changes to medical care were made in 57% of individuals receiving a diagnosis on ES. DISCUSSION These data further support ES as a powerful diagnostic tool in the pediatric neuromuscular clinic and highlight the advantages of ES over gene panels, including the ability to identify diagnoses regardless of etiology, identify genes newly associated with disease, and identify multiple confounding diagnoses. Rapid and accurate diagnosis by ES can not only end the patient's diagnostic odyssey, but often impacts patients' medical management and genetic counseling of families.
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Affiliation(s)
- Alayne P Meyer
- Division of Genetic and Genomic Medicine, Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, USA
| | - Jianing Ma
- Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA
| | - Guy Brock
- Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA
| | - Sayaka Hashimoto
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Catherine E Cottrell
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, USA
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pathology, The Ohio State University, Columbus, Ohio, USA
| | - Mariam Mathew
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, USA
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pathology, The Ohio State University, Columbus, Ohio, USA
| | - Jesse M Hunter
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, USA
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pathology, The Ohio State University, Columbus, Ohio, USA
| | - Marco L Leung
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, USA
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pathology, The Ohio State University, Columbus, Ohio, USA
| | - Don Corsmeier
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Vijayakumar Jayaraman
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Megan A Waldrop
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, USA
- Department of Neurology, Nationwide Children's Hospital & The Ohio State University, Columbus, Ohio, USA
- Center for Gene Therapy, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Kevin M Flanigan
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, USA
- Department of Neurology, Nationwide Children's Hospital & The Ohio State University, Columbus, Ohio, USA
- Center for Gene Therapy, Nationwide Children's Hospital, Columbus, Ohio, USA
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3
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Summa S, Ittiwut C, Kulsirichawaroj P, Paprad T, Likasitwattanakul S, Sanmaneechai O, Boonsimma P, Suphapeetiporn K, Shotelersuk V. Utilisation of exome sequencing for muscular disorders in Thai paediatric patients: diagnostic yield and mutational spectrum. Sci Rep 2023; 13:1376. [PMID: 36697461 PMCID: PMC9876991 DOI: 10.1038/s41598-023-28405-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 01/18/2023] [Indexed: 01/27/2023] Open
Abstract
Muscular dystrophies and congenital myopathies are heterogeneous groups of inherited muscular disorders. An accurate diagnosis is challenging due to their complex clinical presentations and genetic heterogeneity. This study aimed to determine the utilisation of exome sequencing (ES) for Thai paediatric patients with muscular disorders. Of 176 paediatric patients suspected of genetic/inherited myopathies, 133 patients received a molecular diagnosis after performing conventional investigations, single gene testing, and gene panels. The remaining 43 patients from 42 families could be classified into three groups: Group 1, MLPA-negative Duchenne muscular dystrophy (DMD) with 9 patients (9/43; 21%), Group 2, other muscular dystrophies (MD) with 18 patients (18/43; 42%) and Group 3, congenital myopathies (CM) with 16 patients (16/43; 37%). All underwent exome sequencing which could identify pathogenic variants in 8/9 (89%), 14/18 (78%), and 8/16 (50%), for each Group, respectively. Overall, the diagnostic yield of ES was 70% (30/43) and 36 pathogenic/likely pathogenic variants in 14 genes were identified. 18 variants have never been previously reported. Molecular diagnoses provided by ES changed management in 22/30 (73%) of the patients. Our study demonstrates the clinical utility and implications of ES in inherited myopathies.
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Affiliation(s)
- Sarinya Summa
- Department of Paediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand.,Department of Paediatrics, Samutprakan Hospital, Samutprakan, 10270, Thailand
| | - Chupong Ittiwut
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.,Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, 10330, Thailand
| | - Pimchanok Kulsirichawaroj
- Department of Paediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand.,Department of Paediatrics, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, 10300, Thailand
| | - Tanitnun Paprad
- Division of Neurology, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Surachai Likasitwattanakul
- Department of Paediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Oranee Sanmaneechai
- Department of Paediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand.
| | - Ponghatai Boonsimma
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand. .,Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, 10330, Thailand.
| | - Kanya Suphapeetiporn
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.,Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, 10330, Thailand
| | - Vorasuk Shotelersuk
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.,Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, 10330, Thailand
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5
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Spadafora P, Qualtieri A, Cavalcanti F, Di Palma G, Gallo O, De Benedittis S, Cerantonio A, Citrigno L. A Novel Homozygous Variant in DYSF Gene Is Associated with Autosomal Recessive Limb Girdle Muscular Dystrophy R2/2B. Int J Mol Sci 2022; 23. [PMID: 36012197 DOI: 10.3390/ijms23168932] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 08/04/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
Mutations in the DYSF gene, encoding dysferlin, are responsible for Limb Girdle Muscular Dystrophy type R2/2B (LGMDR2/2B), Miyoshi myopathy (MM), and Distal Myopathy with Anterior Tibialis onset (MDAT). The size of the gene and the reported inter and intra familial phenotypic variability make early diagnosis difficult. Genetic analysis was conducted using Next Gene Sequencing (NGS), with a panel of 40 Muscular Dystrophies associated genes we designed. In the present study, we report a new missense variant c.5033G>A, p.Cys1678Tyr (NM_003494) in the exon 45 of DYSF gene related to Limb Girdle Muscular Dystrophy type R2/2B in a 57-year-old patient affected with LGMD from a consanguineous family of south Italy. Both healthy parents carried this variant in heterozygosity. Genetic analysis extended to two moderately affected sisters of the proband, showed the presence of the variant c.5033G>A in both in homozygosity. These data indicate a probable pathological role of the variant c.5033G>A never reported before in the onset of LGMDR2/2B, pointing at the NGS as powerful tool for identifying LGMD subtypes. Moreover, the collection and the networking of genetic data will increase power of genetic-molecular investigation, the management of at-risk individuals, the development of new therapeutic targets and a personalized medicine.
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6
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Bruels CC, Littel HR, Daugherty AL, Stafki S, Estrella EA, McGaughy ES, Truong D, Badalamenti JP, Pais L, Ganesh VS, O'Donnell-Luria A, Stalker HJ, Wang Y, Collins C, Behlmann A, Lemmers RJLF, van der Maarel SM, Laine R, Ghosh PS, Darras BT, Zingariello CD, Pacak CA, Kunkel LM, Kang PB. Diagnostic capabilities of nanopore long-read sequencing in muscular dystrophy. Ann Clin Transl Neurol 2022; 9:1302-1309. [PMID: 35734998 PMCID: PMC9380148 DOI: 10.1002/acn3.51612] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 06/08/2022] [Accepted: 06/09/2022] [Indexed: 11/05/2022] Open
Abstract
Many individuals with muscular dystrophies remain genetically undiagnosed despite clinical diagnostic testing, including exome sequencing. Some may harbor previously undetected structural variants (SVs) or cryptic splice sites. We enrolled 10 unrelated families: nine had muscular dystrophy but lacked complete genetic diagnoses and one had an asymptomatic DMD duplication. Nanopore genomic long-read sequencing identified previously undetected pathogenic variants in four individuals: an SV in DMD, an SV in LAMA2, and two single nucleotide variants in DMD that alter splicing. The DMD duplication in the asymptomatic individual was in tandem. Nanopore sequencing may help streamline genetic diagnostic approaches for muscular dystrophy.
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Affiliation(s)
- Christine C Bruels
- Paul and Sheila Wellstone Muscular Dystrophy Center and Department of Neurology, University of Minnesota Medical School, Minneapolis, Minnesota, 55455
| | - Hannah R Littel
- Paul and Sheila Wellstone Muscular Dystrophy Center and Department of Neurology, University of Minnesota Medical School, Minneapolis, Minnesota, 55455
| | - Audrey L Daugherty
- Paul and Sheila Wellstone Muscular Dystrophy Center and Department of Neurology, University of Minnesota Medical School, Minneapolis, Minnesota, 55455
| | - Seth Stafki
- Paul and Sheila Wellstone Muscular Dystrophy Center and Department of Neurology, University of Minnesota Medical School, Minneapolis, Minnesota, 55455
| | - Elicia A Estrella
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts.,Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts
| | - Emily S McGaughy
- Division of Pediatric Neurology, Department of Pediatrics, University of Florida College of Medicine, Gainesville, Florida, 32610
| | - Don Truong
- Paul and Sheila Wellstone Muscular Dystrophy Center and Department of Neurology, University of Minnesota Medical School, Minneapolis, Minnesota, 55455
| | - Jonathan P Badalamenti
- University of Minnesota Genomics Center, University of Minnesota, Minneapolis, Minnesota, 55455
| | - Lynn Pais
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts.,Program in Medical and Population Genetics, Center for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.,Analytic and Translational Genetics Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Vijay S Ganesh
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts.,Program in Medical and Population Genetics, Center for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.,Analytic and Translational Genetics Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts.,Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Anne O'Donnell-Luria
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts.,Program in Medical and Population Genetics, Center for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.,Analytic and Translational Genetics Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Heather J Stalker
- Division of Genetics, Department of Pediatrics, University of Florida College of Medicine, Gainesville, Florida, 32610
| | - Yang Wang
- PerkinElmer Genomics, Pittsburgh, Pennsylvania
| | | | | | | | | | - Regina Laine
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
| | - Partha S Ghosh
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
| | - Basil T Darras
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
| | - Carla D Zingariello
- Division of Pediatric Neurology, Department of Pediatrics, University of Florida College of Medicine, Gainesville, Florida, 32610
| | - Christina A Pacak
- Paul and Sheila Wellstone Muscular Dystrophy Center and Department of Neurology, University of Minnesota Medical School, Minneapolis, Minnesota, 55455
| | - Louis M Kunkel
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts
| | - Peter B Kang
- Paul and Sheila Wellstone Muscular Dystrophy Center and Department of Neurology, University of Minnesota Medical School, Minneapolis, Minnesota, 55455.,Institute for Translational Neuroscience, University of Minnesota Medical School, Minneapolis, Minnesota, 55455
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7
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Koczwara KE, Lake NJ, DeSimone AM, Lek M. Neuromuscular disorders: finding the missing genetic diagnoses. Trends Genet 2022; 38:956-971. [PMID: 35908999 DOI: 10.1016/j.tig.2022.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 07/01/2022] [Accepted: 07/04/2022] [Indexed: 11/24/2022]
Abstract
Neuromuscular disorders (NMDs) are a wide-ranging group of diseases that seriously affect the quality of life of affected individuals. The development of next-generation sequencing revolutionized the diagnosis of NMD, enabling the discovery of hundreds of NMD genes and many more pathogenic variants. However, the diagnostic yield of genetic testing in NMD cohorts remains incomplete, indicating a large number of genetic diagnoses are not identified through current methods. Fortunately, recent advancements in sequencing technologies, analytical tools, and high-throughput functional screening provide an opportunity to circumvent current challenges. Here, we discuss reasons for missing genetic diagnoses in NMD, how emerging technologies and tools can overcome these hurdles, and examine future approaches to improving diagnostic yields in NMD.
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Affiliation(s)
- Katherine E Koczwara
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Nicole J Lake
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Alec M DeSimone
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Monkol Lek
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA.
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8
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Lin Y, Buyan A, Corry B. Characterizing the lipid fingerprint of the mechanosensitive channel Piezo2. J Gen Physiol 2022; 154:213361. [PMID: 35861699 PMCID: PMC9532583 DOI: 10.1085/jgp.202113064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 05/22/2022] [Accepted: 07/01/2022] [Indexed: 01/23/2023] Open
Abstract
Piezo2 is a mechanosensitive ion channel that plays critical roles in sensing touch and pain, proprioception, and regulation of heart rate. Global knockout of Piezo2 leads to perinatal lethality in mice, and Piezo2 gain-of-function mutations are associated with distal arthrogryposis, a disease characterized by congenital joint contractures. Emerging evidence suggests that Piezo channels (Piezo1 and Piezo2) can be regulated by their local membrane environment and particularly by cholesterol and phosphoinositides. To characterize the local Piezo2 lipid environment and investigate key lipid-protein interactions, we carried out coarse-grained molecular dynamics simulations of Piezo2 embedded in a complex mammalian membrane containing >60 distinct lipid species. We show that Piezo2 alters its local membrane composition such that it becomes enriched with specific lipids, such as phosphoinositides, and forms specific, long-term interactions with a variety of lipids at functionally relevant sites.
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Affiliation(s)
| | | | - Ben Corry
- Research School of Biology, Canberra, Australia,Correspondence to Ben Corry:
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9
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Van Der Merwe N, Ramesar R, De Vries J. Whole Exome Sequencing in South Africa: Stakeholder Views on Return of Individual Research Results and Incidental Findings. Front Genet 2022; 13:864822. [PMID: 35754817 PMCID: PMC9216214 DOI: 10.3389/fgene.2022.864822] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/30/2022] [Indexed: 11/17/2022] Open
Abstract
The use of whole exome sequencing (WES) in medical research is increasing in South Africa (SA), raising important questions about whether and which individual genetic research results, particularly incidental findings, should be returned to patients. Whilst some commentaries and opinions related to the topic have been published in SA, there is no qualitative data on the views of professional stakeholders on this topic. Seventeen participants including clinicians, genomics researchers, and genetic counsellors (GCs) were recruited from the Western Cape in SA. Semi-structured interviews were conducted, and the transcripts analysed using the framework approach for data analysis. Current roadblocks for the clinical adoption of WES in SA include a lack of standardised guidelines; complexities relating to variant interpretation due to lack of functional studies and underrepresentation of people of African ancestry in the reference genome, population and variant databases; lack of resources and skilled personnel for variant confirmation and follow-up. Suggestions to overcome these barriers include obtaining funding and buy-in from the private and public sectors and medical insurance companies; the generation of a locally relevant reference genome; training of health professionals in the field of genomics and bioinformatics; and multidisciplinary collaboration. Participants emphasised the importance of upscaling the accessibility to and training of GCs, as well as upskilling of clinicians and genetic nurses for return of genetic data in collaboration with GCs and medical geneticists. Future research could focus on exploring the development of stakeholder partnerships for increased access to trained specialists as well as community engagement and education, alongside the development of guidelines for result disclosure.
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Affiliation(s)
- Nicole Van Der Merwe
- UCT/MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Institute for Infectious Diseases and Molecular Medicine, Department of Pathology, Faculty of Medicine and Health Sciences, University of Cape Town, Cape Town, South Africa.,Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Raj Ramesar
- UCT/MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Institute for Infectious Diseases and Molecular Medicine, Department of Pathology, Faculty of Medicine and Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Jantina De Vries
- Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.,Neuroscience Institute, Faculty of Health Sciences, University of Cape Town, Observatory, South Africa
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10
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Contreras-Cubas C, Barajas-Olmos F, Frayre-Martínez MI, Siordia-Reyes G, Guízar-Sánchez CC, García-Ortiz H, Orozco L, Baca V. Dysferlinopathy misdiagnosed with juvenile polymyositis in the pre-symptomatic stage of hyperCKemia: a case report and literature review. BMC Med Genomics 2022; 15:139. [PMID: 35725460 PMCID: PMC9208210 DOI: 10.1186/s12920-022-01284-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 06/10/2022] [Indexed: 12/05/2022] Open
Abstract
Background Dysferlinopathy encompasses a group of rare muscular dystrophies caused by recessive mutations in the DYSF gene. The phenotype ranges from asymptomatic elevated serum creatine kinase (hyperCKemia) to selective and progressive involvement of the proximal and/or distal muscles of the limbs. Bohan and Peter criteria are the most widely used for the diagnosis of polymyositis, but they have limitations and can misclassify muscular dystrophies with inflammation as polymyositis. Most dysferlinopathy patients have muscle biopsies with inflammation and thus are vulnerable to misdiagnosis with polymyositis and inappropriate treatment with steroids and immunosuppressors.
Case presentation We describe a 14 years-old male patient who was referred for assessment of asymptomatic hyperCKemia (26,372 IU/L). An X-linked dystrophinopathy initially was ruled out by direct genetic testing. Juvenile polymyositis was considered based on muscle biopsy, creatine kinase levels, and electromyography changes. Corticosteroid treatment triggered proximal lower limb muscular weakness, and no full muscular strength recovery was observed after corticosteroid withdrawal. Based on these observations, a limb-girdle muscular dystrophy (LGMD) was suspected, and LGMDR2 was confirmed by whole exome sequencing. Conclusion We report a dysferlinopathy patient who was misdiagnosed with juvenile polymyositis and explore in a literature review how common such misdiagnoses are. With diagnosis based only on routine clinicopathological examinations, distinguishing an inflammatory myopathy from dysferlinopathy is quite difficult. We suggest that before establishing a diagnosis of “definite” or “probable” juvenile polymyositis, according to Bohan and Peter or current ACR/EULAR criteria, a muscular dystrophy must first be ruled out.
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Affiliation(s)
- Cecilia Contreras-Cubas
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, SS, Mexico City, Mexico
| | - Francisco Barajas-Olmos
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, SS, Mexico City, Mexico
| | | | | | - Claudia C Guízar-Sánchez
- Department of Physical Medicine and Rehabilitation, Hospital de Pediatría, CMN Siglo XXI IMSS, Mexico City, Mexico
| | - Humberto García-Ortiz
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, SS, Mexico City, Mexico
| | - Lorena Orozco
- Immunogenomics and Metabolic Diseases Laboratory, National Institute of Genomic Medicine, SS, Mexico City, Mexico
| | - Vicente Baca
- Department of Rheumatology, Hospital de Pediatría, CMN Siglo XXI IMSS, Mexico City, Mexico.
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11
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Lace B, Micule I, Kenina V, Setlere S, Strautmanis J, Kazaine I, Taurina G, Murmane D, Grinfelde I, Kornejeva L, Krumina Z, Sterna O, Radovica-Spalvina I, Vasiljeva I, Gailite L, Stavusis J, Livcane D, Kidere D, Malniece I, Inashkina I. Overview of Neuromuscular Disorder Molecular Diagnostic Experience for the Population of Latvia. Neurol Genet 2022; 8:e685. [DOI: 10.1212/nxg.0000000000000685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 03/30/2022] [Indexed: 11/15/2022]
Abstract
Background and ObjectivesGenetic testing has become an integral part of health care, allowing the confirmation of thousands of hereditary diseases, including neuromuscular disorders (NMDs). The reported average prevalence of individual inherited NMDs is 3.7–4.99 per 10,000. This number varies greatly in the selected populations after applying population-wide studies. The aim of this study was to evaluate the effect of genetic analysis as the first-tier test in patients with NMD and to calculate the disease prevalence and allelic frequencies for reoccurring genetic variants.MethodsPatients with NMD from Latvia with molecular tests confirming their diagnosis in 2008–2020 were included in this retrospective study.ResultsDiagnosis was confirmed in 153 unique cases of all persons tested. Next-generation sequencing resulted in a detection rate of 37%. Two of the most common childhood-onset NMDs in our population were spinal muscular atrophy and dystrophinopathies, with a birth prevalence of 1.01 per 10,000 newborns and 2.08 per 10,000 (male newborn population), respectively. The calculated point prevalence was 0.079 per 10,000 for facioscapulohumeral muscular dystrophy type 1, 0.078 per 10,000 for limb-girdle muscular dystrophy, 0.073 per 10,000 for nondystrophic congenital myotonia, 0.052 per 10,000 for spinobulbar muscular atrophy, and 0.047 per 10,000 for type 1 myotonic dystrophy.DiscussionDNA diagnostics is a successful approach. The carrier frequencies of the common CAPN3, FKRP, SPG11, and HINT1 gene variants as well as that of the SMN1 gene exon 7 deletion in the population of Latvia are comparable with data from Europe. The carrier frequency of the CLCN1 gene variant c.2680C>T p.(Arg894Ter) is 2.11%, and consequently, congenital myotonia is the most frequent NMD in our population.
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12
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Krenn M, Tomschik M, Wagner M, Zulehner G, Weng R, Rath J, Klotz S, Gelpi E, Bsteh G, Keritam O, Colonna I, Paternostro C, Jäger F, Lindeck-Pozza E, Iglseder S, Grinzinger S, Schönfelder M, Hohenwarter C, Freimüller M, Embacher N, Wanschitz J, Topakian R, Töpf A, Straub V, Quasthoff S, Zimprich F, Löscher WN, Cetin H. Clinico-genetic spectrum of limb-girdle muscular weakness in Austria: a multi-centre cohort study. Eur J Neurol 2022; 29:1815-1824. [PMID: 35239206 PMCID: PMC9314602 DOI: 10.1111/ene.15306] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 02/24/2022] [Accepted: 02/26/2022] [Indexed: 11/26/2022]
Abstract
Background and purpose Hereditary myopathies with limb‐girdle muscular weakness (LGW) are a genetically heterogeneous group of disorders, in which molecular diagnosis remains challenging. Our aim was to present a detailed clinical and genetic characterization of a large cohort of patients with LGW. Methods This nationwide cohort study included patients with LGW suspected to be associated with hereditary myopathies. Parameters associated with specific genetic aetiologies were evaluated, and we further assessed how they predicted the detection of causative variants by conducting genetic analyses. Results Molecular diagnoses were identified in 62.0% (75/121) of the cohort, with a higher proportion of patients diagnosed by next‐generation sequencing (NGS) than by single‐gene testing (77.3% vs. 22.7% of solved cases). The median (interquartile range) time from onset to genetic diagnosis was 8.9 (3.7–19.9) and 17.8 (7.9–27.8) years for single‐gene testing and NGS, respectively. The most common diagnoses were myopathies associated with variants in CAPN3 (n = 9), FKRP (n = 9), ANO5 (n = 8), DYSF (n = 8) and SGCA (n = 5), which together accounted for 32.2% of the cohort. Younger age at disease onset (p = 0.043), >10× elevated creatine kinase activity levels (p = 0.024) and myopathic electromyography findings (p = 0.007) were significantly associated with the detection of causative variants. Conclusions Our findings suggest that an earlier use of NGS in patients with LGW is needed to avoid long diagnostic delays. We further present parameters predictive of a molecular diagnosis that may help to select patients for genetic analyses, especially in centres with limited access to sequencing.
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Affiliation(s)
- Martin Krenn
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Matthias Tomschik
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Matias Wagner
- Institute of Human Genetics, Technical University Munich, Munich, Germany.,Institute for Neurogenomics, Helmholtz Center Munich, Neuherberg, Germany.,LMU University Hospital, Department of Pediatrics, Dr. von Hauner Children's Hospital, Division of Pediatric Neurology, LMU Center for Development and Children with Medical Complexity, Ludwig-Maximilians-University, Munich, Germany
| | - Gudrun Zulehner
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Rosa Weng
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Jakob Rath
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Sigrid Klotz
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Ellen Gelpi
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Gabriel Bsteh
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Omar Keritam
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Isabella Colonna
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Fiona Jäger
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | | | - Stephan Iglseder
- Department of Neurology, KH der Barmherzigen Brüder, Linz, Austria
| | - Susanne Grinzinger
- Department of Neurology, Paracelsus Medical University of Salzburg, Salzburg, Austria
| | - Martina Schönfelder
- Department of Neurology, Klinikum Klagenfurt am Wörthersee, Klagenfurt, Austria
| | | | | | - Norbert Embacher
- Department of Neurology, University Hospital St, Pölten, St. Pölten, Austria
| | - Julia Wanschitz
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Raffi Topakian
- Department of Neurology, Klinikum Wels-Grieskirchen, Wels, Austria
| | - Ana Töpf
- John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Volker Straub
- John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Stefan Quasthoff
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Fritz Zimprich
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Wolfgang N Löscher
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Hakan Cetin
- Department of Neurology, Medical University of Vienna, Vienna, Austria
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13
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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] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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14
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Gabriel H, Korinth D, Ritthaler M, Schulte B, Battke F, von Kaisenberg C, Wüstemann M, Schulze B, Friedrich-Freksa A, Pfeiffer L, Entezami M, Schröer A, Bürger J, Schwaibold EMC, Lebek H, Biskup S. Trio exome sequencing is highly relevant in prenatal diagnostics. Prenat Diagn 2021; 42:845-851. [PMID: 34958143 PMCID: PMC9305182 DOI: 10.1002/pd.6081] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 12/13/2021] [Accepted: 12/14/2021] [Indexed: 12/26/2022]
Abstract
Objective About 3% of newborns show malformations, with about 20% of the affected having genetic causes. Clarification of genetic diseases in postnatal diagnostics was significantly improved with high‐throughput sequencing, in particular through whole exome sequencing covering all protein‐coding regions. Here, we aim to extend the use of this technology to prenatal diagnostics. Method Between 07/2018 and 10/2020, 500 pregnancies with fetal ultrasound abnormalities were analyzed after genetic counseling as part of prenatal diagnostics using WES of the fetus and parents. Results Molecular genetic findings could explain ultrasound abnormalities in 38% of affected fetuses. In 47% of these, disease‐causing de novo variants were found. Pathogenic variants in genes with autosomal recessive or X‐linked inheritance were detected in more than one‐third (70/189 = 37%). The latter are associated with increased probability of recurrence, making their detection important for further pregnancies. Average time from sample receipt to report was 12 days in the recent cases. Conclusion Trio exome sequencing is a useful addition to prenatal diagnostics due to its high diagnostic yield and short processing time (comparable to chromosome analysis). It covers a wide spectrum of genetic changes. Comprehensive interdisciplinary counseling before and after diagnostics is indispensable.
What's already known about this topic?
It is known that about 20% of malformations in newborns can be associated with genetic causes. Whole‐exome sequencing, and especially trio exome sequencing, is an established and successful method in postnatal genetic diagnostics. Diagnostic yield for trio exome sequencing is around 37%.
What does this study add?
We show that trio exome sequencing is a fast and comprehensive method in prenatal diagnostics with diagnostic yield similar to that of postnatal trio exome sequencing. We provide case solution rates for different phenotypic observations from 19% for abnormalities of internal organs up to 52% for skeletal malformations.
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Affiliation(s)
| | - Dirk Korinth
- Praxis für Humangenetik Tübingen, Tübingen, Germany
| | | | | | | | | | - Max Wüstemann
- Zentrum für Pränatalmedizin Hannover, Hannover, Germany
| | | | | | - Lutz Pfeiffer
- Medicover Humangenetik Berlin-Lichtenberg, Berlin, Germany
| | | | | | | | | | - Holger Lebek
- Pränatale Diagnostik Berlin-Lichtenberg, Berlin, Germany
| | - Saskia Biskup
- Praxis für Humangenetik Tübingen, Tübingen, Germany.,CeGaT GmbH, Tübingen, Germany
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15
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AlMuhaizea M, Dabbagh O, AlQudairy H, AlHargan A, Alotaibi W, Sami R, AlOtaibi R, Ali MM, AlHindi H, Colak D, Kaya N. Phenotypic Variability of MEGF10 Variants Causing Congenital Myopathy: Report of Two Unrelated Patients from a Highly Consanguineous Population. Genes (Basel) 2021; 12:1783. [PMID: 34828389 DOI: 10.3390/genes12111783] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 10/29/2021] [Accepted: 11/04/2021] [Indexed: 12/12/2022] Open
Abstract
Congenital myopathies are rare neuromuscular hereditary disorders that manifest at birth or during infancy and usually appear with muscle weakness and hypotonia. One of such disorders, early-onset myopathy, areflexia, respiratory distress, and dysphagia (EMARDD, OMIM: 614399, MIM: 612453), is a rare autosomal recessive disorder caused by biallelic mutations (at homozygous or compound heterozygous status) in MEGF10 (multiple epidermal growth factor-like domains protein family). Here, we report two unrelated patients, who were born to consanguineous parents, having two novel MEGF10 deleterious variants. Interestingly, the presence of MEGF10 associated EMARDD has not been reported in Saudi Arabia, a highly consanguineous population. Moreover, both variants lead to a different phenotypic onset of mild and severe types. Our work expands phenotypic features of the disease and provides an opportunity for genetic counseling to the inflicted families.
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16
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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17
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Abstract
Neurological diseases affect 3-5% of children and, apart from cardiovascular diseases and cancer, represent the most prominent cause of morbidity and mortality in adults and particularly in the aged population of western Europe. Neuromuscular disorders are a subgroup of neurological diseases and often have a genetic origin, which leads to familial clustering. Despite the enormous progress in the analysis of the genome, such as by sequence analysis of coding regions of deoxyribonucleic acid or even the entire deoxyribonucleic acid sequence, in approximately 50% of the patients suffering from rare forms of neurological diseases the genetic cause remains unsolved. The reasons for this limited detection rate are presented in this article. If a treatment concept is available, under certain conditions this can have an impact on the adequate and early treatment of these patients. Considering neuromuscular disorders as a paradigm, this article reports on the advantages of the inclusion of next generation sequencing analysis-based DNA investigations as an omics technology (genomics) and the advantage of the integration with protein analyses (proteomics). A special focus is on the combination of genomics and proteomics in the sense of a proteogenomic approach in the diagnostics and research of these diseases. Along this line, this article presents a proteogenomic approach in the context of a multidisciplinary project aiming towards improved diagnostic work-up and future treatment of patients with neuromuscular diseases; "NMD-GPS: gene and protein signatures as a global positioning system in patients suffering from neuromuscular diseases".
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Affiliation(s)
- Andrea Gangfuß
- Abteilung für Neuropädiatrie, Universitätsmedizin Essen, Hufelandstrasse 55, 45147, Essen, Deutschland
| | - Ulrike Schara-Schmidt
- Abteilung für Neuropädiatrie, Universitätsmedizin Essen, Hufelandstrasse 55, 45147, Essen, Deutschland
| | - Andreas Roos
- Abteilung für Neuropädiatrie, Universitätsmedizin Essen, Hufelandstrasse 55, 45147, Essen, Deutschland. .,Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Kanada.
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18
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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19
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ten Dam L, de Visser M, Ginjaar IB, van Duyvenvoorde HA, van Koningsbruggen S, van der Kooi AJ. Elucidation of the Genetic Cause in Dutch Limb Girdle Muscular Dystrophy Families: A 27-Year's Journey. J Neuromuscul Dis 2021; 8:261-272. [PMID: 33386810 PMCID: PMC9789482 DOI: 10.3233/jnd-200585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND A Dutch cohort of 105 carefully selected limb girdle muscular dystrophy (LGMD) patients from 68 families has been subject to genetic testing over the last 20 years. After subsequent targeted gene analysis around two thirds (45/68) of the families had received a genetic diagnosis in 2013. OBJECTIVE To describe the results of further genetic testing in the remaining undiagnosed limb girdle muscular dystrophy families in this cohort. METHODS In the families of the cohort for whom no genetic diagnosis was established (n = 23) further testing using Sanger sequencing, next generation sequencing with gene panel analysis or whole-exome sequencing was performed. In one case DNA analysis for facioscapulohumeral dystrophy type 1 was carried out. RESULTS In eight families no additional genetic tests could be performed. In 12 of the remaining 15 families in which additional testing could be performed a genetic diagnosis was established: two LGMDR1 calpain3-related families with CAPN3 mutations, one LGMDR2 dysferlin-related family with DYSF mutations, three sarcoglycanopathy families (LGMDR3-5 α-, β- and γ-sarcoglycan-related) with SGCA/SGCB/SGCG mutations, one LGMDR8 TRIM 32-related family with TRIM32 mutations, two LGMDR19 GMPPB-related families with GMPPB mutations, one family with MICU1-related myopathy, one family with FLNC-related myopathy and one family with facioscapulohumeral dystrophy type 1. At this moment a genetic diagnosis has been made in 57 of the 60 families of which DNA was available (95%). CONCLUSION A genetic diagnosis is obtained in 95% of the families of the original Dutch LGMD cohort of which DNA was available.
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Affiliation(s)
- L. ten Dam
- Department of Neurology, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands,Correspondence to: Leroy ten Dam, Department of Neurology, Amsterdam University Medical Centre, University of Amsterdam, Meibergdreef 9, 1105AZ Amsterdam, The Netherlands. Tel.: +31 20 566 9111; E-mail:
| | - M. de Visser
- Department of Neurology, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Ieke B. Ginjaar
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden, The Netherlands
| | | | - Silvana van Koningsbruggen
- Department of Clinical Genetics, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Anneke J. van der Kooi
- Department of Neurology, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
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Tariq M, Latif M, Inam M, Jan A, Bibi N, Mohamoud HSA, Ali I, Ahmad H, Khan A, Nasir J, Wadood A, Jelani M. Whole exome sequencing reveals a homozygous SGCB variant in a Pakhtun family with limb girdle muscular dystrophy (LGMDR4) phenotype. Gene Reports 2021. [DOI: 10.1016/j.genrep.2020.101014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Jiang Y, Yang X, Jiang J, Xiao B. Structural Designs and Mechanogating Mechanisms of the Mechanosensitive Piezo Channels. Trends Biochem Sci 2021; 46:472-488. [PMID: 33610426 DOI: 10.1016/j.tibs.2021.01.008] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 01/20/2021] [Accepted: 01/22/2021] [Indexed: 12/19/2022]
Abstract
The evolutionarily conserved Piezo channel family, including Piezo1 and Piezo2 in mammals, serves as versatile mechanotransducers in various cell types and consequently governs fundamental pathophysiological processes ranging from vascular development to the sense of gentle touch and tactile pain. Piezo1/2 possess a unique 38-transmembrane (TM) helix topology and form a homotrimeric propeller-shaped structure comprising a central ion-conducting pore and three peripheral mechanosensing blades. The unusually curved TM region of the three blades shapes a signature nano-bowl configuration with potential to generate large in-plane membrane area expansion, which might confer exquisite mechanosensitivity to Piezo channels. Here, we review the current understanding of Piezo channels with a particular focus on their unique structural designs and elegant mechanogating mechanisms.
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Affiliation(s)
- Yan Jiang
- State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, IDG/McGovern Institute for Brain Research, Beijing Advanced Innovation Center for Structural Biology, School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, China
| | - Xuzhong Yang
- State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, IDG/McGovern Institute for Brain Research, Beijing Advanced Innovation Center for Structural Biology, School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, China
| | - Jinghui Jiang
- State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, IDG/McGovern Institute for Brain Research, Beijing Advanced Innovation Center for Structural Biology, School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, China
| | - Bailong Xiao
- State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, IDG/McGovern Institute for Brain Research, Beijing Advanced Innovation Center for Structural Biology, School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, China.
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Zaganas I, Mastorodemos V, Spilioti M, Mathioudakis L, Latsoudis H, Michaelidou K, Kotzamani D, Notas K, Dimitrakopoulos K, Skoula I, Ioannidis S, Klothaki E, Erimaki S, Stavropoulos G, Vassilikos V, Amoiridis G, Efthimiadis G, Evangeliou A, Mitsias P. Genetic cause of heterogeneous inherited myopathies in a cohort of Greek patients. Mol Genet Metab Rep 2020; 25:100682. [PMID: 33304817 PMCID: PMC7711282 DOI: 10.1016/j.ymgmr.2020.100682] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 11/13/2020] [Accepted: 11/13/2020] [Indexed: 02/07/2023] Open
Abstract
Inherited muscle disorders are caused by pathogenic changes in numerous genes. Herein, we aimed to investigate the etiology of muscle disease in 24 consecutive Greek patients with myopathy suspected to be genetic in origin, based on clinical presentation and laboratory and electrophysiological findings and absence of known acquired causes of myopathy. Of these, 16 patients (8 females, median 24 years-old, range 7 to 67 years-old) were diagnosed by Whole Exome Sequencing as suffering from a specific type of inherited muscle disorder. Specifically, we have identified causative variants in 6 limb-girdle muscular dystrophy genes (6 patients; ANO5, CAPN3, DYSF, ISPD, LAMA2, SGCA), 3 metabolic myopathy genes (4 patients; CPT2, ETFDH, GAA), 1 congenital myotonia gene (1 patient; CLCN1), 1 mitochondrial myopathy gene (1 patient; MT-TE) and 3 other myopathy-associated genes (4 patients; CAV3, LMNA, MYOT). In 6 additional family members affected by myopathy, we reached genetic diagnosis following identification of a causative variant in an index patient. In our patients, genetic diagnosis ended a lengthy diagnostic process and, in the case of Multiple acyl-CoA dehydrogenase deficiency and Pompe's disease, it enabled specific treatment to be initiated. These results further expand the genotypic and phenotypic spectrum of inherited myopathies.
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Affiliation(s)
- Ioannis Zaganas
- Neurogenetics Laboratory, Medical School, University of Crete, Heraklion, Crete, Greece.,Neurology Department, University Hospital of Crete, Heraklion, Crete, Greece
| | | | - Martha Spilioti
- AHEPA General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Lambros Mathioudakis
- Neurogenetics Laboratory, Medical School, University of Crete, Heraklion, Crete, Greece
| | - Helen Latsoudis
- Neurogenetics Laboratory, Medical School, University of Crete, Heraklion, Crete, Greece
| | - Kleita Michaelidou
- Neurogenetics Laboratory, Medical School, University of Crete, Heraklion, Crete, Greece
| | - Dimitra Kotzamani
- Neurogenetics Laboratory, Medical School, University of Crete, Heraklion, Crete, Greece
| | - Konstantinos Notas
- AHEPA General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Irene Skoula
- Neurogenetics Laboratory, Medical School, University of Crete, Heraklion, Crete, Greece
| | - Stefanos Ioannidis
- Neurology Department, University Hospital of Crete, Heraklion, Crete, Greece
| | - Eirini Klothaki
- Neurology Department, University Hospital of Crete, Heraklion, Crete, Greece
| | - Sophia Erimaki
- Neurophysiology Unit, University Hospital of Crete, Heraklion, Crete, Greece
| | - Georgios Stavropoulos
- Hippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Vassilios Vassilikos
- Hippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Georgios Amoiridis
- Neurophysiology Unit, University Hospital of Crete, Heraklion, Crete, Greece
| | - Georgios Efthimiadis
- AHEPA General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Athanasios Evangeliou
- Papageorgiou General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Panayiotis Mitsias
- Neurology Department, University Hospital of Crete, Heraklion, Crete, Greece.,Neurophysiology Unit, University Hospital of Crete, Heraklion, Crete, Greece.,Department of Neurology, Henry Ford Hospital/Wayne State University, Detroit, Michigan, USA
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Warman-Chardon J, Diaz-Manera J, Tasca G, Straub V. 247th ENMC International Workshop: Muscle magnetic resonance imaging - Implementing muscle MRI as a diagnostic tool for rare genetic myopathy cohorts. Hoofddorp, The Netherlands, September 2019. Neuromuscul Disord 2020; 30:938-947. [PMID: 33004285 DOI: 10.1016/j.nmd.2020.08.360] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 08/19/2020] [Indexed: 12/28/2022]
Affiliation(s)
- Jodi Warman-Chardon
- Jodi Warman Chardon, Neurology/Genetics, The Ottawa Hospital/Research Institute, Canada; Children's Hospital of Eastern Ontario/Research Institute, Canada
| | - Jordi Diaz-Manera
- Neuromuscular Disorders Unit, Neurology department, Hospital Universitari de la Santa Creu i Sant Pau, Spain; Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Barcelona, Spain; John Walton Muscular Dystrophy Research Center, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, UK
| | - Giorgio Tasca
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy
| | - Volker Straub
- John Walton Muscular Dystrophy Research Center, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, UK.
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Peterlin B, Gualandi F, Maver A, Servidei S, van der Maarel SM, Lamy F, Mejat A, Evangelista T, Ferlini A. Genetic testing offer for inherited neuromuscular diseases within the EURO-NMD reference network: A European survey study. PLoS One 2020; 15:e0239329. [PMID: 32946487 PMCID: PMC7500674 DOI: 10.1371/journal.pone.0239329] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 09/03/2020] [Indexed: 11/19/2022] Open
Abstract
The genetic diagnostics of inherited neuromuscular diseases (NMDs) is challenging due to their clinical and genetic heterogeneity. We launched an online survey within the EURO-NMD European Reference Network (ERN) to collect information about the availability/distribution of genetic testing across 61 ERN health care providers (HCPs). A 17 items questionnaire was designed to address methods used, the number of genetic tests available, the clinical pathway to access genetic testing, the use of next-generation sequencing (NGS) and participation to quality assessment schemes (QAs). A remarkable number of HCPs (49%) offers ≥ 500 genetic tests per year, 43,6% offers 100–500 genetic tests per year, and 7,2% ≤ 100 per year. NGS is used by 94% of centres, Sanger sequencing by 84%, MLPA by 66% and Southern blotting by 36%. The majority of centres (60%) offer NGS for all patients that fulfil criteria for NMD of genetic origin. Pipelines for NGS vary amongst centres, even within the same national system. Referral of patients to genetic laboratories by specialists was frequently reported (58%), and 65% of centres participates in genetic testing QAs. We specifically evaluated how many centres cover SMA, DMD, Pompe, LGMDs, and TTR genes/diseases genetic diagnosis, since these rare diseases benefit from personalised therapies. We used the Orphanet EUGT numbers, provided by 82% of HCPs. SMA, DMD, LGMD, TTR and GAA genes are covered by EUGTs although with different numbers and modalities. The number of genetic tests for NMDs offered across HCPs National Health systems is quite high, including routine techniques and NGS. The number and type of tests offered and the clinical practices differ among centres. We provided evidence that survey tools might be useful to learn about the state-of-the-art of ERN health-related activities and to foster harmonisation and standardisation of the complex care for the rare disease patients in the EU.
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Affiliation(s)
- Borut Peterlin
- Clinical Institute of Medical Genetics, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | | | - Ales Maver
- Clinical Institute of Medical Genetics, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Serenella Servidei
- Neurophysiopathology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | | | | | | | - Teresinha Evangelista
- Neuromuscular Morphology Unit, Myology Institute, GHU Pitié-Salpêtrière, Sorbonne Université, Paris, France
- * E-mail: (AF); (TE)
| | - Alessandra Ferlini
- Unit of Medical Genetics, University Hospital Ferrara, Ferrara, Italy
- * E-mail: (AF); (TE)
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Thompson R, Spendiff S, Roos A, Bourque PR, Warman Chardon J, Kirschner J, Horvath R, Lochmüller H. Advances in the diagnosis of inherited neuromuscular diseases and implications for therapy development. Lancet Neurol 2020; 19:522-32. [PMID: 32470424 DOI: 10.1016/S1474-4422(20)30028-4] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 01/20/2020] [Accepted: 01/22/2020] [Indexed: 12/19/2022]
Abstract
Advances in DNA sequencing technologies have resulted in a near doubling, in under 10 years, of the number of causal genes identified for inherited neuromuscular disorders. However, around half of patients, whether children or adults, do not receive a molecular diagnosis after initial diagnostic workup. Massively parallel technologies targeting RNA, proteins, and metabolites are being increasingly used to diagnose these unsolved cases. The use of these technologies to delineate pathways, biomarkers, and therapeutic targets has led to new approaches entering the drug development pipeline. However, these technologies might give rise to misleading conclusions if used in isolation, and traditional techniques including comprehensive neurological evaluation, histopathology, and biochemistry continue to have a crucial role in diagnostics. For optimal diagnosis, prognosis, and precision medicine, no single ruling technology exists. Instead, an interdisciplinary approach combining novel and traditional neurological techniques with computer-aided analysis and international data sharing is needed to advance the diagnosis and treatment of neuromuscular disorders.
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Abstract
PURPOSE OF REVIEW As a group, the limb-girdle muscular dystrophies (LGMDs) are the fourth most prevalent genetic muscle disease, yet they are still not well known or understood. This article defines and describes LGMDs, delineates a diagnostic strategy, and discusses treatment of the LGMDs. RECENT FINDINGS In 2018, the definition of the LGMDs was further refined, and a new nomenclature was proposed. Diagnosis of the LGMDs was long guided by the distinctive clinical characteristics of each particular subtype but now integrates use of genetics-with next-generation sequencing panels, exomes, and full genome analysis-early in the diagnostic assessment. Appreciation of the phenotypic diversity of each LGMD subtype continues to expand. This emphasizes the need for precision genetic diagnostics to better understand each subtype and formulate appropriate management for individual patients. Of significant relevance, the explosion of research into therapeutic options accentuates the need for accurate diagnosis, comprehensive disease characterization, and description of the natural histories of the LGMDs to move the field forward and to mitigate disease impact on patients with LGMD. SUMMARY The LGMDs are genetic muscle diseases that superficially appear similar to one another but have important differences in rates of progression and concomitant comorbidities. Definitive diagnoses are crucial to guide management and treatment now and in the future. As targeted treatments emerge, it will be important for clinicians to understand the nomenclature, diagnosis, clinical manifestations, and treatments of the LGMDs.
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Lorenzoni PJ, Kay CSK, Arndt RC, Hrysay NMC, Ducci RDP, Fustes OHJ, Töpf A, Lochmüller H, Werneck LC, Scola RH. Congenital myasthenic syndrome due to DOK7 mutation in a cohort of patients with 'unexplained' limb-girdle muscular weakness. J Clin Neurosci 2020; 75:195-198. [PMID: 32238315 DOI: 10.1016/j.jocn.2020.01.080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 01/27/2020] [Indexed: 10/24/2022]
Abstract
Congenital myasthenic syndromes (CMS) associated with pathogenic variants in the DOK7 gene (DOK7-CMS) have phenotypic overlap with other neuromuscular disorders associated with limb-girdle muscular weakness (LGMW). Genetic analysis of the most common mutation (c.1124_1127dupTGCC) in DOK7 was performed in 34 patients with "unexplained" LGMW associated with non-specific changes in muscle biopsy. Of the 34 patients, one patient showed the DOK7 c.1124_1127dupTGCC variant in homozygousity. Our study estimates the minimum prevalence of undiagnosed DOK7-CMS to be 2.9% in southern Brazilian patients from our centre. Our data confirm that clinicians should look for DOK7-CMS patients when the clinical manifestation is an 'unexplained' LGMW, mainly if associated with non-specific changes in muscle biopsy.
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Affiliation(s)
- Paulo José Lorenzoni
- Service of Neuromuscular Disorders, Division of Neurology, Department of Internal Medicine, Hospital de Clínicas, Universidade Federal do Paraná (UFPR), Curitiba, Brazil
| | - Cláudia Suemi Kamoi Kay
- Service of Neuromuscular Disorders, Division of Neurology, Department of Internal Medicine, Hospital de Clínicas, Universidade Federal do Paraná (UFPR), Curitiba, Brazil
| | - Raquel Cristina Arndt
- Service of Neuromuscular Disorders, Division of Neurology, Department of Internal Medicine, Hospital de Clínicas, Universidade Federal do Paraná (UFPR), Curitiba, Brazil
| | - Nyvia Milicio Coblinski Hrysay
- Service of Neuromuscular Disorders, Division of Neurology, Department of Internal Medicine, Hospital de Clínicas, Universidade Federal do Paraná (UFPR), Curitiba, Brazil
| | - Renata Dal-Pra Ducci
- Service of Neuromuscular Disorders, Division of Neurology, Department of Internal Medicine, Hospital de Clínicas, Universidade Federal do Paraná (UFPR), Curitiba, Brazil
| | - Otto H Jesus Fustes
- Service of Neuromuscular Disorders, Division of Neurology, Department of Internal Medicine, Hospital de Clínicas, Universidade Federal do Paraná (UFPR), Curitiba, Brazil
| | - Ana Töpf
- John Walton Muscular Dystrophy Research Centre, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
| | - Hanns Lochmüller
- Children's Hospital of Eastern Ontario Research Institute, Division of Neurology, Department of Medicine, The Ottawa Hospital; and Brain and Mind Research Institute, University of Ottawa, Ottawa, Canada
| | - Lineu Cesar Werneck
- Service of Neuromuscular Disorders, Division of Neurology, Department of Internal Medicine, Hospital de Clínicas, Universidade Federal do Paraná (UFPR), Curitiba, Brazil
| | - Rosana Herminia Scola
- Service of Neuromuscular Disorders, Division of Neurology, Department of Internal Medicine, Hospital de Clínicas, Universidade Federal do Paraná (UFPR), Curitiba, Brazil.
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Ghaoui R, Needham M. Investigation of hereditary muscle disorders in the genomic era. ACNR 2020. [DOI: 10.47795/ayyz8676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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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. Neurol Genet 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] [What about the content of this article? (0)] [Affiliation(s)] [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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Westra D, Schouten MI, Stunnenberg BC, Kusters B, Saris CGJ, Erasmus CE, van Engelen BG, Bulk S, Verschuuren-Bemelmans CC, Gerkes EH, de Geus C, van der Zwaag PA, Chan S, Chung B, Barge-Schaapveld DQCM, Kriek M, Sznajer Y, van Spaendonck-Zwarts K, van der Kooi AJ, Krause A, Schönewolf-Greulich B, de Die-Smulders C, Sallevelt SCEH, Krapels IPC, Rasmussen M, Maystadt I, Kievit AJA, Witting N, Pennings M, Meijer R, Gillissen C, Kamsteeg EJ, Voermans NC. Panel-Based Exome Sequencing for Neuromuscular Disorders as a Diagnostic Service. J Neuromuscul Dis 2019; 6:241-258. [PMID: 31127727 DOI: 10.3233/jnd-180376] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Neuromuscular disorders (NMDs) are clinically and genetically heterogeneous. Accurate molecular genetic diagnosis can improve clinical management, provides appropriate genetic counseling and testing of relatives, and allows potential therapeutic trials. OBJECTIVE To establish the clinical utility of panel-based whole exome sequencing (WES) in NMDs in a population with children and adults with various neuromuscular symptoms. METHODS Clinical exome sequencing, followed by diagnostic interpretation of variants in genes associated with NMDs, was performed in a cohort of 396 patients suspected of having a genetic cause with a variable age of onset, neuromuscular phenotype, and inheritance pattern. Many had previously undergone targeted gene testing without results. RESULTS Disease-causing variants were identified in 75/396 patients (19%), with variants in the three COL6-genes (COL6A1, COL6A2 and COL6A3) as the most common cause of the identified muscle disorder, followed by variants in the RYR1 gene. Together, these four genes account for almost 25% of cases in whom a definite genetic cause was identified. Furthermore, likely pathogenic variants and/or variants of uncertain significance were identified in 95 of the patients (24%), in whom functional and/or segregation analysis should be used to confirm or reject the pathogenicity. In 18% of the cases with a disease-causing variant of which we received additional clinical information, we identified a genetic cause in genes of which the associated phenotypes did not match that of the patients. Hence, the advantage of panel-based WES is its unbiased approach. CONCLUSION Whole exome sequencing, followed by filtering for NMD genes, offers an unbiased approach for the genetic diagnostics of NMD patients. This approach could be used as a first-tier test in neuromuscular disorders with a high suspicion of a genetic cause. With uncertain results, functional testing and segregation analysis are needed to complete the evidence.
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Affiliation(s)
- Dineke Westra
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Meyke I Schouten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Bas C Stunnenberg
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Benno Kusters
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Christiaan G J Saris
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Corrie E Erasmus
- Department of Pediatric Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Baziel G van Engelen
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Saskia Bulk
- Service de Génétique Humaine, CHU de Liège, Liège, Belgium
| | | | - E H Gerkes
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
| | - Christa de Geus
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
| | - P A van der Zwaag
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
| | - Sophelia Chan
- Department of Pediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Brian Chung
- Department of Pediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | | | - Marjolein Kriek
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Yves Sznajer
- Center de Génétique Humaine, Clinique Universitaires Saint Luc, Bruxelles, Belgium
| | | | - Anneke J van der Kooi
- Department of Neurology, Amsterdam Medical Center, Amsterdam UMC, University of Amsterdam, Neuroscience institute, Amsterdam, The Netherlands
| | - Amanda Krause
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, The University of the Witwatersrand, Johannesburg, South Africa
| | | | | | - Suzanne C E H Sallevelt
- Department of Clinical Genetics, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Ingrid P C Krapels
- Department of Clinical Genetics, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Magnhild Rasmussen
- Department of Child Neurology and Unit for Congenital and Inherited Neuromuscular Disorders, Oslo University Hospital, Oslo, Norway
| | - Isabelle Maystadt
- Center de Génétique Humaine, Institut de Pathologie et de Génétique, Gosselies, Belgium
| | - Anneke J A Kievit
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Nanna Witting
- Department of Neurology, Rigshospitalet, Copenhagen, Denmark
| | - Maartje Pennings
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rowdy Meijer
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Christian Gillissen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Erik-Jan Kamsteeg
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Nicol C Voermans
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
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Özyilmaz B, Kirbiyik Ö, Özdemir TR, Kaya Özer Ö, Kutbay YB, Erdogan KM, Güvenç MS, Kale MY, Gazeteci H, Kiliç B, Sertpoyraz F, Diniz G, Baydan F, Gençpinar P, Dündar NO, Yiş U. Impact of next‐generation sequencing panels in the evaluation of limb‐girdle muscular dystrophies. Ann Hum Genet 2019; 83:331-347. [DOI: 10.1111/ahg.12319] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 04/04/2019] [Accepted: 04/09/2019] [Indexed: 12/23/2022]
Affiliation(s)
- Berk Özyilmaz
- Genetic Diagnosis Center, Tepecik Training and Research Hospital University of Health Sciences Izmir Turkey
- Neuromuscular Disorders Unit, Tepecik Training and Research Hospital University of Health Sciences Izmir Turkey
| | - Özgür Kirbiyik
- Genetic Diagnosis Center, Tepecik Training and Research Hospital University of Health Sciences Izmir Turkey
| | - Taha R. Özdemir
- Genetic Diagnosis Center, Tepecik Training and Research Hospital University of Health Sciences Izmir Turkey
| | - Özge Kaya Özer
- Genetic Diagnosis Center, Tepecik Training and Research Hospital University of Health Sciences Izmir Turkey
| | - Yaşar B. Kutbay
- Genetic Diagnosis Center, Tepecik Training and Research Hospital University of Health Sciences Izmir Turkey
| | - Kadri M. Erdogan
- Genetic Diagnosis Center, Tepecik Training and Research Hospital University of Health Sciences Izmir Turkey
| | - Merve Saka Güvenç
- Genetic Diagnosis Center, Tepecik Training and Research Hospital University of Health Sciences Izmir Turkey
| | - Murat Yildirim Kale
- Neuromuscular Disorders Unit, Tepecik Training and Research Hospital University of Health Sciences Izmir Turkey
| | - Hande Gazeteci
- Pediatric Neurology Cigli District Training Hospital Izmir Turkey
| | - Betül Kiliç
- Pediatric Neurology Derince Education Research Hospital Kocaeli Turkey
| | - Filiz Sertpoyraz
- Neuromuscular Disorders Unit, Tepecik Training and Research Hospital University of Health Sciences Izmir Turkey
| | - Gulden Diniz
- Department of Pathology Izmir Democracy University Izmir Turkey
| | - Figen Baydan
- Neuromuscular Disorders Unit, Tepecik Training and Research Hospital University of Health Sciences Izmir Turkey
| | - Pinar Gençpinar
- Pediatric Neurology, Faculty of Medicine Izmir Katip Celebi University Izmir Turkey
| | - Nihal Olgaç Dündar
- Pediatric Neurology, Faculty of Medicine Izmir Katip Celebi University Izmir Turkey
| | - Uluç Yiş
- Pediatric Neurology, School of Medicine Dokuz Eylül University Izmir Turkey
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32
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Li S, You Y, Gao J, Mao B, Cao Y, Zhao X, Zhang X. Novel mutations in TPM2 and PIEZO2 are responsible for distal arthrogryposis (DA) 2B and mild DA in two Chinese families. BMC Med Genet 2018; 19:179. [PMID: 30285720 PMCID: PMC6171138 DOI: 10.1186/s12881-018-0692-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 09/23/2018] [Indexed: 12/25/2022]
Abstract
Background Distal arthrogryposis (DA) is a group of clinically and genetically heterogeneous disorders that involve multiple congenital limb contractures and comprise at least 10 clinical subtypes. Here, we describe our findings in two Chinese families: Family 1 with DA2B (MIM 601680) and Family 2 with mild DA. Methods To map the disease locus, two-point linkage analysis was performed with microsatellite markers closed to TPM2, TNNI2/TNNT3 and TNNC2. In Family 1, a positive LOD (logarithm of odds) score was only obtained at the microsatellite marker close to TPM2 and mutation screening was performed using direct sequencing of TPM2 in the proband. In Family 2, for the LOD score that did not favor linkage to any markers, whole-exome sequencing (WES) was performed on the proband. PCR–restriction fragment length polymorphism (RFLP) and bioinformatics analysis were then applied to identify the pathogenic mutations in two families. In order to correlate genotype with phenotype in DA, retrospective analyses of phenotypic features according to the TPM2 and PIEZO2 mutation spectrums were carried out. Results A heterozygous missense mutation c.308A > G (p.Q103R) in TPM2 in Family 1, and a novel variation c.8153G > A (p.R2718Q) in PIEZO2 in Family 2 were identified. Each of the two novel variants was co-segregated with the DA manifestations in the corresponding family. Bioinformatics analysis from several tools supported the pathogenicity of the mutations. Furthermore, our study suggests that there is no relation between the types or locations of TPM2 mutations and the clinical characteristics, and that different inheritance modes and mutation types concerning PIEZO2 cause distinct clinical manifestations. Conclusions We report two novel mutations within TPM2 and PIEZO2 responsible for DA2B and mild DA in two Chinese families, respectively. Our study expands the spectrum of causal mutations in the TPM2 and PIEZO2 genes. Electronic supplementary material The online version of this article (10.1186/s12881-018-0692-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Shan Li
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, Dong Cheng District, Beijing, 100005, China
| | - Yi You
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, Dong Cheng District, Beijing, 100005, China
| | - Jinsong Gao
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, 100730, China
| | - Bin Mao
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, Dong Cheng District, Beijing, 100005, China
| | - Yixuan Cao
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, Dong Cheng District, Beijing, 100005, China
| | - Xiuli Zhao
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, Dong Cheng District, Beijing, 100005, China.
| | - Xue Zhang
- Department of Medical Genetics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, Dong Cheng District, Beijing, 100005, China.
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Gainotti S, Mascalzoni D, Bros-Facer V, Petrini C, Floridia G, Roos M, Salvatore M, Taruscio D. Meeting Patients' Right to the Correct Diagnosis: Ongoing International Initiatives on Undiagnosed Rare Diseases and Ethical and Social Issues. Int J Environ Res Public Health 2018; 15:E2072. [PMID: 30248891 DOI: 10.3390/ijerph15102072] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 09/14/2018] [Accepted: 09/18/2018] [Indexed: 12/19/2022]
Abstract
The time required to reach a correct diagnosis is a key concern for rare disease (RD) patients. Diagnostic delay can be intolerably long, often described as an “odyssey” and, for some, a diagnosis may remain frustratingly elusive. The International Rare Disease Research Consortium proposed, as ultimate goal for 2017–2027, to enable all people with a suspected RD to be diagnosed within one year of presentation, if the disorder is known. Subsequently, unsolved cases would enter a globally coordinated diagnostic and research pipeline. In-depth analysis of the genotype through next generation sequencing, together with a standardized in-depth phenotype description and sophisticated high-throughput approaches, have been applied as diagnostic tools to increase the chance of a timely and accurate diagnosis. The success of this approach is evident in the Orphanet database. From 2010 to March 2017 over 600 new RDs and roughly 3600 linked genes have been described and identified. However, combination of -omics and phenotype data, as well as international sharing of this information, has raised ethical concerns. Values to be assessed include not only patient autonomy but also family implications, beneficence, non-maleficence, justice, solidarity and reciprocity, which must be respected and promoted and, at the same time, balanced among each other. In this work we suggest that, to maximize patients’ involvement in the search for a diagnosis and identification of new causative genes, undiagnosed patients should have the possibility to: (1) actively participate in the description of their phenotype; (2) choose the level of visibility of their profile in matchmaking databases; (3) express their preferences regarding return of new findings, in particular which level of Variant of Unknown Significance (VUS) significance should be considered relevant to them. The quality of the relationship between individual patients and physicians, and between the patient community and the scientific community, is critically important for optimizing the use of available data and enabling international collaboration in order to provide a diagnosis, and the attached support, to unsolved cases. The contribution of patients to collecting and coding data comprehensively is critical for efficient use of data downstream of data collection.
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34
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YİŞ ULUÇ, DİNİZ GÜLDEN, HAZAN FILIZ, DAİMAGÜLER HÜLYASEVCAN, BAYSAL BAHARTOKLU, BAYDAN FIGEN, AKINCI GÜLÇIN, ÜNALP AYCAN, AKTAN GÜL, BAYRAM ERHAN, HIZ SEMRA, PAKETÇİ CEM, OKUR DERYA, ÖZER ERDENER, DANYELİ AYÇAERSEN, POLAT MUZAFFER, UYANIK GÖKHAN, ÇIRAK SEBAHATTIN. Childhood onset limb-girdle muscular dystrophies in the Aegean part of Turkey. Acta Myol 2018; 37:210-220. [PMID: 30838351 PMCID: PMC6390111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The aim of this study is to analyze the epidemiology of the clinical and genetic features of childhood-onset limb-girdle muscular dystrophies (LGMD) in the Aegean part of Turkey. In total fifty-six pediatric cases with LGMD followed in four different pediatric neurology departments in the Aegean region of Turkey were evaluated. Among them, LGMD2C was the most common followed by LGMD2A, LGMD2D, and LGMD2F with equal frequencies. In twenty-eight patients (50%) the diagnosis could be confirmed by genetic analysis, where SGCG proved to be disease-causing in most of the cases. About half of the patients were diagnosed with whole exome or targeted gene sequencing. A positive correlation between muscle biopsy and genetic findings were observed in 11% of the patients. We report one novel frameshifting mutation in TTN. Knowledge on frequencies of childhood-onset limb-girdle muscular dystrophies and related genes in Turkey will lead to a prompt diagnosis of these neuromuscular disorders.
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Affiliation(s)
- ULUÇ YİŞ
- Dokuz Eylül University,
School of Medicine, Department of Pediatrics, Division of
Child Neurology, İzmir, Turkey,Address for correspondence: Uluç Yiş, Dokuz Eylül
University School of Medicine Department of Pediatrics Division of
Child Neurology, 35340/Balçova/İzmir. Tel. +90 232
4126216. E-mail:
| | - GÜLDEN DİNİZ
- Neuromuscular Disease
Center, Tepecik Research Hospital, İzmir,
Turkey
| | - FILIZ HAZAN
- Dr Behçet Uz Children’s
Research Hospital, Department of Medical Genetics,
İzmir, Turkey
| | - HÜLYA SEVCAN DAİMAGÜLER
- University Hospital
Cologne, Department of Pediatrics, Cologne,
Germany, Center for Molecular Medicine Cologne
(CMMC), University of Cologne,
Cologne, Germany
| | - BAHAR TOKLU BAYSAL
- Dr Behçet Uz Children’s
Research Hospital, Department of Pediatric Neurology,
İzmir, Turkey
| | - FIGEN BAYDAN
- Neuromuscular Disease
Center, Tepecik Research Hospital, İzmir,
Turkey
| | - GÜLÇIN AKINCI
- Dr Behçet Uz Children’s
Research Hospital, Department of Pediatric Neurology,
İzmir, Turkey
| | - AYCAN ÜNALP
- Dr Behçet Uz Children’s
Research Hospital, Department of Pediatric Neurology,
İzmir, Turkey
| | - GÜL AKTAN
- Ege University, School of
Medicine, Department of Pediatrics, Division of Child
Neurology, İzmir, Turkey
| | - ERHAN BAYRAM
- Dokuz Eylül University,
School of Medicine, Department of Pediatrics, Division of
Child Neurology, İzmir, Turkey
| | - SEMRA HIZ
- Dokuz Eylül University,
School of Medicine, Department of Pediatrics, Division of
Child Neurology, İzmir, Turkey
| | - CEM PAKETÇİ
- Dokuz Eylül University,
School of Medicine, Department of Pediatrics, Division of
Child Neurology, İzmir, Turkey
| | - DERYA OKUR
- Dokuz Eylül University,
School of Medicine, Department of Pediatrics, Division of
Child Neurology, İzmir, Turkey
| | - ERDENER ÖZER
- Dokuz Eylül University,
School of Medicine, Department of Pathology,
İzmir, Turkey
| | - AYÇA ERSEN DANYELİ
- Dokuz Eylül University,
School of Medicine, Department of Pathology,
İzmir, Turkey
| | - MUZAFFER POLAT
- Celal Bayar University,
School of Medicine, Department of Pediatrics, Division of
Child Neurology, Manisa, Turkey
| | - GÖKHAN UYANIK
- Center for Medical Genetics,
Hanusch Hospital, Vienna,
Austria, Medical Faculty, Sigmund
Freud Private University, Vienna,
Austria
| | - SEBAHATTIN ÇIRAK
- University Hospital
Cologne, Department of Pediatrics, Cologne,
Germany, Center for Molecular Medicine Cologne
(CMMC), University of Cologne,
Cologne, Germany
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Saha M, Reddy HM, Salih MA, Estrella E, Jones MD, Mitsuhashi S, Cho KA, Suzuki-Hatano S, Rizzo SA, Hamad MH, Mukhtar MM, Hamed AA, Elseed MA, Lek M, Valkanas E, MacArthur DG, Kunkel LM, Pacak CA, Draper I, Kang PB. Impact of PYROXD1 deficiency on cellular respiration and correlations with genetic analyses of limb-girdle muscular dystrophy in Saudi Arabia and Sudan. Physiol Genomics 2018; 50:929-939. [PMID: 30345904 DOI: 10.1152/physiolgenomics.00036.2018] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Next-generation sequencing is commonly used to screen for pathogenic mutations in families with Mendelian disorders, but due to the pace of discoveries, gaps have widened for some diseases between genetic and pathophysiological knowledge. We recruited and analyzed 16 families with limb-girdle muscular dystrophy (LGMD) of Arab descent from Saudi Arabia and Sudan who did not have confirmed genetic diagnoses. The analysis included both traditional and next-generation sequencing approaches. Cellular and metabolic studies were performed on Pyroxd1 siRNA C2C12 myoblasts and controls. Pathogenic mutations were identified in eight of the 16 families. One Sudanese family of Arab descent residing in Saudi Arabia harbored a homozygous c.464A>G, p.Asn155Ser mutation in PYROXD1, a gene recently reported in association with myofibrillar myopathy and whose protein product reduces thiol residues. Pyroxd1 deficiency in murine C2C12 myoblasts yielded evidence for impairments of cellular proliferation, migration, and differentiation, while CG10721 (Pyroxd1 fly homolog) knockdown in Drosophila yielded a lethal phenotype. Further investigations indicated that Pyroxd1 does not localize to mitochondria, yet Pyroxd1 deficiency is associated with decreased cellular respiration. This study identified pathogenic mutations in half of the LGMD families from the cohort, including one in PYROXD1. Developmental impairments were demonstrated in vitro for Pyroxd1 deficiency and in vivo for CG10721 deficiency, with reduced metabolic activity in vitro for Pyroxd1 deficiency.
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Affiliation(s)
- Madhurima Saha
- Division of Pediatric Neurology, Department of Pediatrics, University of Florida College of Medicine , Gainesville, Florida
| | - Hemakumar M Reddy
- Division of Pediatric Neurology, Department of Pediatrics, University of Florida College of Medicine , Gainesville, Florida
| | - Mustafa A Salih
- Division of Neurology, Department of Pediatrics, King Saud University , Riyadh , Saudi Arabia
| | - Elicia Estrella
- Division of Genetics and Genomics, Boston Children's Hospital and Harvard Medical School , Boston, Massachusetts
| | - Michael D Jones
- Division of Pediatric Neurology, Department of Pediatrics, University of Florida College of Medicine , Gainesville, Florida
| | - Satomi Mitsuhashi
- Department of Neurology, Boston Children's Hospital and Harvard Medical School , Boston, Massachusetts
| | - Kyung-Ah Cho
- Division of Pediatric Neurology, Department of Pediatrics, University of Florida College of Medicine , Gainesville, Florida
| | - Silveli Suzuki-Hatano
- Department of Pediatrics, University of Florida College of Medicine , Gainesville, Florida
| | - Skylar A Rizzo
- Division of Pediatric Neurology, Department of Pediatrics, University of Florida College of Medicine , Gainesville, Florida
| | - Muddathir H Hamad
- Division of Neurology, Department of Pediatrics, King Saud University , Riyadh , Saudi Arabia
| | - Maowia M Mukhtar
- The Institute of Endemic Diseases, University of Khartoum , Khartoum , Sudan
| | - Ahlam A Hamed
- Department of Paediatrics and Child Health, Faculty of Medicine, University of Khartoum , Khartoum , Sudan
| | - Maha A Elseed
- Department of Paediatrics and Child Health, Faculty of Medicine, University of Khartoum , Khartoum , Sudan
| | - Monkol Lek
- Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School , Boston, Massachusetts.,Broad Institute of the Massachusetts Institute of Technology and Harvard University , Cambridge, Massachusetts
| | - Elise Valkanas
- Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School , Boston, Massachusetts.,Broad Institute of the Massachusetts Institute of Technology and Harvard University , Cambridge, Massachusetts
| | - Daniel G MacArthur
- Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School , Boston, Massachusetts.,Broad Institute of the Massachusetts Institute of Technology and Harvard University , Cambridge, Massachusetts
| | - Louis M Kunkel
- Division of Genetics and Genomics, Boston Children's Hospital and Harvard Medical School , Boston, Massachusetts
| | - Christina A Pacak
- Department of Pediatrics, University of Florida College of Medicine , Gainesville, Florida
| | - Isabelle Draper
- Molecular Cardiology Research Institute, Tufts Medical Center , Boston, Massachusetts
| | - Peter B Kang
- Division of Pediatric Neurology, Department of Pediatrics, University of Florida College of Medicine , Gainesville, Florida.,Department of Neurology and Department of Molecular Genetics and Microbiology, University of Florida College of Medicine , Gainesville, Florida.,Genetics Institute and Myology Institute, University of Florida , Gainesville, Florida
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36
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Mattick JS, Dinger M, Schonrock N, Cowley M. Whole genome sequencing provides better diagnostic yield and future value than whole exome sequencing. Med J Aust 2018; 209:197-199. [DOI: 10.5694/mja17.01176] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 03/08/2018] [Indexed: 12/21/2022]
Affiliation(s)
- John S Mattick
- Garvan Institute of Medical Research, Sydney, NSW
- St Vincentˈs Clinical School, UNSW Sydney, Sydney, NSW
| | - Marcel Dinger
- Kinghorn Centre of Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW
| | - Nicole Schonrock
- Kinghorn Centre of Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW
| | - Mark Cowley
- Kinghorn Centre of Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW
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