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Marti P, Pitarch-Castellano I, Muelas N, Azorín I, Fores L, Vilchez R, Sevilla T, Vilchez JJ. Asymptomatic HyperCKemia in the Pediatric Population: A Prospective Study Utilizing Next-Generation Sequencing and Ancillary Tests. Neurology 2025; 104:e210116. [PMID: 39666917 DOI: 10.1212/wnl.0000000000210116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 09/25/2024] [Indexed: 12/14/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Persistent elevation of serum creatine kinase levels (hyperCKemia) as an isolated manifestation presents a diagnostic challenge. Genetic myopathies are frequently involved; however, studies using next-generation sequencing (NGS) in pediatric patients are lacking, and the significance of genetic aberrations remains poorly understood. This study, therefore, aimed to investigate the relevance of NGS and the support of contemporary diagnostic tools in the diagnosis of pediatric asymptomatic hyperCKemia. METHODS This was a prospective cohort study enrolling pediatric (0-18 years old) patients meeting the predefined criteria for asymptomatic/paucisymptomatic hyperCKemia, excluding DMD gene deletion/duplication, recruited from a referral center. NGS, muscle MRI, EMG, and muscle biopsies with immunolabeling and inflammatory markers were performed according to a prespecified protocol. Data analysis was performed using descriptive/univariate statistics and Bayesian logistic regression. RESULTS The series comprised 65 patients (78% male). NGS diagnosis was achieved in 55% of the cohort, with 70% of the pathogenic variants involving 7 genes (DMD, CAPN3, ANO5, DYSF, RYR1, GAA, and CAV3). The diagnostic rate was similar across all age groups; however, the gene profiles varied between the childhood and juvenile groups. EMG yielded myopathic features in 48% of the investigated cases, being predictive for diagnosis (p < 0.05; odds ratio [OR] 13.484, 95% CI 1.358-705.297). MRI showed normal (64%), focal fatty change (26%), or short-tau inversion recovery hyperintensity (10%) profiles, which were not predictive of diagnosis but supported muscle biopsy indications. Muscle biopsy provided a significant diagnostic effect (p < 0.05; OR 0.028, 95% CI 0.001-0.238), contributing to myopathologic features clarifying the variant pathogenicity and identifying inflammatory myopathies. The diagnoses remained inconclusive and unresolved in 14% and 29% of the cohorts, respectively. The diagnostic rate for patients with CK levels below the threshold of 3× was 42%. In multivariate analysis, NGS was the only variable achieving a significant diagnostic effect (β = 9.85, 95% CI 4.65-16.09). DISCUSSION NGS, as the primary diagnostic tool for investigating hyperCKemia in the pediatric population, yielded a higher diagnostic rate. However, muscle biopsies are necessary to define variants of uncertain pathogenicity and aid in identifying inflammatory myopathies. EMG and MRI may play a role in hyperCKemia characterization, guiding the decision to perform muscle biopsy. The primary limitation of this study was that not all ancillary tests were performed in all recruited patients owing to ethical restrictions, which lowered the power of the predictive analysis.
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Affiliation(s)
- Pilar Marti
- From the U763 (P.M., N.M., I.A., T.S., J.J.V.), Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), Madrid; Neuromuscular Research Group (P.M., I.P.C., N.M., I.A., L.F., R.V., T.S., J.J.V.), IIS La Fe; Neuromuscular Referral Center ERN-EURO-NMD (I.P.C.), Neuropediatric Department, UIP La Fe Hospital; Neuromuscular Referral Center ERN-EURO-NMD (N.M., T.S.), Neurology Department, UIP La Fe Hospital, Valencia; and Department of Medicine (N.M., T.S., J.J.V.), Universitat de Valencia, Spain
| | - Inmaculada Pitarch-Castellano
- From the U763 (P.M., N.M., I.A., T.S., J.J.V.), Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), Madrid; Neuromuscular Research Group (P.M., I.P.C., N.M., I.A., L.F., R.V., T.S., J.J.V.), IIS La Fe; Neuromuscular Referral Center ERN-EURO-NMD (I.P.C.), Neuropediatric Department, UIP La Fe Hospital; Neuromuscular Referral Center ERN-EURO-NMD (N.M., T.S.), Neurology Department, UIP La Fe Hospital, Valencia; and Department of Medicine (N.M., T.S., J.J.V.), Universitat de Valencia, Spain
| | - Nuria Muelas
- From the U763 (P.M., N.M., I.A., T.S., J.J.V.), Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), Madrid; Neuromuscular Research Group (P.M., I.P.C., N.M., I.A., L.F., R.V., T.S., J.J.V.), IIS La Fe; Neuromuscular Referral Center ERN-EURO-NMD (I.P.C.), Neuropediatric Department, UIP La Fe Hospital; Neuromuscular Referral Center ERN-EURO-NMD (N.M., T.S.), Neurology Department, UIP La Fe Hospital, Valencia; and Department of Medicine (N.M., T.S., J.J.V.), Universitat de Valencia, Spain
| | - Inmaculada Azorín
- From the U763 (P.M., N.M., I.A., T.S., J.J.V.), Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), Madrid; Neuromuscular Research Group (P.M., I.P.C., N.M., I.A., L.F., R.V., T.S., J.J.V.), IIS La Fe; Neuromuscular Referral Center ERN-EURO-NMD (I.P.C.), Neuropediatric Department, UIP La Fe Hospital; Neuromuscular Referral Center ERN-EURO-NMD (N.M., T.S.), Neurology Department, UIP La Fe Hospital, Valencia; and Department of Medicine (N.M., T.S., J.J.V.), Universitat de Valencia, Spain
| | - Lorena Fores
- From the U763 (P.M., N.M., I.A., T.S., J.J.V.), Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), Madrid; Neuromuscular Research Group (P.M., I.P.C., N.M., I.A., L.F., R.V., T.S., J.J.V.), IIS La Fe; Neuromuscular Referral Center ERN-EURO-NMD (I.P.C.), Neuropediatric Department, UIP La Fe Hospital; Neuromuscular Referral Center ERN-EURO-NMD (N.M., T.S.), Neurology Department, UIP La Fe Hospital, Valencia; and Department of Medicine (N.M., T.S., J.J.V.), Universitat de Valencia, Spain
| | - Roger Vilchez
- From the U763 (P.M., N.M., I.A., T.S., J.J.V.), Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), Madrid; Neuromuscular Research Group (P.M., I.P.C., N.M., I.A., L.F., R.V., T.S., J.J.V.), IIS La Fe; Neuromuscular Referral Center ERN-EURO-NMD (I.P.C.), Neuropediatric Department, UIP La Fe Hospital; Neuromuscular Referral Center ERN-EURO-NMD (N.M., T.S.), Neurology Department, UIP La Fe Hospital, Valencia; and Department of Medicine (N.M., T.S., J.J.V.), Universitat de Valencia, Spain
| | - Teresa Sevilla
- From the U763 (P.M., N.M., I.A., T.S., J.J.V.), Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), Madrid; Neuromuscular Research Group (P.M., I.P.C., N.M., I.A., L.F., R.V., T.S., J.J.V.), IIS La Fe; Neuromuscular Referral Center ERN-EURO-NMD (I.P.C.), Neuropediatric Department, UIP La Fe Hospital; Neuromuscular Referral Center ERN-EURO-NMD (N.M., T.S.), Neurology Department, UIP La Fe Hospital, Valencia; and Department of Medicine (N.M., T.S., J.J.V.), Universitat de Valencia, Spain
| | - Juan Jesus Vilchez
- From the U763 (P.M., N.M., I.A., T.S., J.J.V.), Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), Madrid; Neuromuscular Research Group (P.M., I.P.C., N.M., I.A., L.F., R.V., T.S., J.J.V.), IIS La Fe; Neuromuscular Referral Center ERN-EURO-NMD (I.P.C.), Neuropediatric Department, UIP La Fe Hospital; Neuromuscular Referral Center ERN-EURO-NMD (N.M., T.S.), Neurology Department, UIP La Fe Hospital, Valencia; and Department of Medicine (N.M., T.S., J.J.V.), Universitat de Valencia, Spain
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Horowitz K, Fotopoulos NH, Mistry AJ, Simo J, Medeiros M, Bucco ID, Ginsberg M, Dwosh E, La Piana R, Rouleau GA, Dilliott AA, Farhan SMK. Enhancing variant of uncertain significance (VUS) interpretation in neurogenetics: collaborative experiences from a tertiary care centre. J Med Genet 2024; 62:37-45. [PMID: 39547794 DOI: 10.1136/jmg-2024-110122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Accepted: 10/06/2024] [Indexed: 11/17/2024]
Abstract
BACKGROUND The findings of variants of uncertain significance (VUS) on a clinical genetic testing report pose a challenge for attending healthcare professionals (HCPs) in patient care. Here, we describe the outcomes of multidisciplinary VUS Rounds, implemented at a neurological disease tertiary care centre, which aid in interpreting and communicating VUS identified in our neurogenetics patient population. METHODS VUS Rounds brought together genetic counsellors, molecular geneticists and scientists to evaluate VUS against genomic and phenotypic evidence and assign an internal temperature classification of 'VUS Hot', 'True VUS' or 'VUS Cold', corresponding to potential pathogenicity. Biweekly meetings were held among the committee to deliberate variant classifications, determine additional clinical management actions and discuss nuances of VUS result communication. RESULTS In total, 143 VUS identified in 72 individuals with neurological disease were curated between October 2022 and December 2023. Of these, 12.6% were classified as VUS Hot, carried by 22.2% of the individuals, allowing for prioritisation of additional evaluation to determine potential pathogenicity of the variants, such as clinical follow-up or segregation analysis. In contrast, 45.4% of VUS were Cold and could be eliminated from further consideration in the carrier's care. We thoroughly evaluated the various evidence that contributed to our VUS classifications and resulting clinical actions. CONCLUSIONS The assessment of VUS leveraging multidisciplinary collaboration allowed us to delineate required follow-up analyses for our neurology patient population. Integration of VUS Rounds into healthcare practices ensures equitable knowledge dissemination among HCPs and effective incorporation of uncertain genetic results into patient care.
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Affiliation(s)
- Kayla Horowitz
- Montreal Neurological Institute-Hospital, Montreal, Quebec, Canada
| | | | - Alana J Mistry
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Justin Simo
- Montreal Neurological Institute-Hospital, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Miranda Medeiros
- Montreal Neurological Institute-Hospital, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Isabela D Bucco
- Department of Genetics, Federal University of Parana, Curitiba, Paraná, Brazil
| | - Mia Ginsberg
- Montreal Neurological Institute-Hospital, Montreal, Quebec, Canada
- Department of Cognitive Sciences, McGill University, Montreal, Quebec, Canada
| | - Emily Dwosh
- Department of Medical Genetics, The University of British Columbia, Vancouver, British Columbia, Canada
- University of British Columbia Hospital Clinic for Alzheimer Disease and Related Disorders, Vancouver Coastal Health Authority, Vancouver, British Columbia, Canada
| | - Roberta La Piana
- Montreal Neurological Institute-Hospital, Montreal, Quebec, Canada
| | - Guy A Rouleau
- Montreal Neurological Institute-Hospital, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Allison A Dilliott
- Montreal Neurological Institute-Hospital, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Sali M K Farhan
- Montreal Neurological Institute-Hospital, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
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Bibi A, Ji W, Jeffries L, Zerillo C, Konstantino M, Mis EK, Khursheed F, Khokha MK, Lakhani SA, Malik S. Exome sequencing reveals genetic heterogeneity in consanguineous Pakistani families with neurodevelopmental and neuromuscular disorders. AMERICAN JOURNAL OF MEDICAL GENETICS. PART C, SEMINARS IN MEDICAL GENETICS 2024; 196:e32103. [PMID: 39152716 DOI: 10.1002/ajmg.c.32103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 07/15/2024] [Accepted: 07/26/2024] [Indexed: 08/19/2024]
Abstract
There remains a crucial need to address inequalities in genomic research and include populations from low- and middle-income countries (LMIC). Here we present eight consanguineous families from Pakistan, five with neurodevelopmental disorders (NDDs) and three with neuromuscular disorders (NMDs). Affected individuals were clinically characterized, and genetic variants were identified through exome sequencing (ES), followed by family segregation analysis. Affected individuals in six out of eight families (75%) carried homozygous variants that met ACMG criteria for being pathogenic (in the genes ADGRG1, METTL23, SPG11) or likely pathogenic (in the genes GPAA1, MFN2, SGSH). The remaining two families had homozygous candidate variants in the genes (AP4M1 and FAM126A) associated with phenotypes consistent with their clinical presentations, but the variants did not meet the criteria for pathogenicity and were hence classified as variants of unknown significance. Notably, the variants in ADGRG1, AP4M1, FAM126A, and SGSH did not have prior reports in the literature, demonstrating the importance of including diverse populations in genomic studies. We provide clinical phenotyping along with analyses of ES data that support the utility of ES in making accurate molecular diagnoses in these patients, as well as in unearthing novel variants in known disease-causing genes in underrepresented populations from LMIC.
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Affiliation(s)
- Anisa Bibi
- Human Genetics Program, Department of Zoology, Quaid-i-Azam University, Islamabad, Pakistan
- Pediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Weizhen Ji
- Pediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Lauren Jeffries
- Pediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Cynthia Zerillo
- Pediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Monica Konstantino
- Pediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Emily K Mis
- Pediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Filza Khursheed
- Human Genetics Program, Department of Zoology, Quaid-i-Azam University, Islamabad, Pakistan
| | - Mustafa K Khokha
- Pediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Saquib A Lakhani
- Pediatric Genomics Discovery Program, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Sajid Malik
- Human Genetics Program, Department of Zoology, Quaid-i-Azam University, Islamabad, Pakistan
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Lempel N, Shelly S, Chorin O, Rock R, Eliyahu A, Finezilber Y, Poran H, Feinstein-Goren N, Segev M, Reznik-Wolf H, Barel O, Orion D, Anis S, Regev M, Yonath H, Dominissini D, Blatt I, Hassin-Baer S, Dori A, Pras E, Greenbaum L. The yield of genetic workup for middle-aged and elderly patients with neurological disorders in a real-world setting. J Neurol Sci 2024; 463:123074. [PMID: 38968664 DOI: 10.1016/j.jns.2024.123074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 04/25/2024] [Accepted: 05/29/2024] [Indexed: 07/07/2024]
Abstract
Genetic workup is becoming increasingly common in the clinical assessment of neurological disorders. We evaluated its yield among middle-aged and elderly neurological patients, in a real-world context. This retrospective study included 368 consecutive Israeli patients aged 50 years and older (202 [54.9%] males), who were referred to a single neurogenetics clinic between 2017 and mid-2023. All had neurological disorders, without a previous molecular diagnosis. Demographic, clinical and genetic data were collected from medical records. The mean age at first genetic counseling at the clinic was 62.3 ± 7.8 years (range 50-85 years), and the main indications for referral were neuromuscular, movement and cerebrovascular disorders, as well as cognitive impairment and dementia. Out of the 368 patients, 245 (66.6%) underwent genetic testing that included exome sequencing (ES), analysis of nucleotide repeat expansions, detection of specific mutations, targeted gene panel sequencing or chromosomal microarray analysis. Overall, 80 patients (21.7%) received a molecular diagnosis due to 36 conditions, accounting for 32.7% of the patients who performed genetic testing. The diagnostic rates were highest for neuromuscular (58/186 patients [31.2%] in this group, 39.2% of 148 tested individuals) and movement disorders (14/79 [17.7%] patients, 29.2% of 48 tested), but lower for other disorders. Testing of nucleotide repeat expansions and ES provided a diagnosis to 28/73 (38.4%) and 19/132 (14.4%) individuals, respectively. Based on our findings, genetic workup and testing are useful in the diagnostic process of neurological patients aged ≥50 years, in particular for those with neuromuscular and movement disorders.
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Affiliation(s)
- Noga Lempel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Shahar Shelly
- Department of Neurology, Rambam Medical Center, Haifa, Israel; Rappaport Faculty of Medicine, Technion, Haifa, Israel; Department of Neurology, Mayo Clinic, Rochester, MN, United States of America
| | - Odelia Chorin
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Rachel Rock
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Aviva Eliyahu
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Yael Finezilber
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Hana Poran
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Neta Feinstein-Goren
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Meirav Segev
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Haike Reznik-Wolf
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Ortal Barel
- The Genomics Unit, Sheba Cancer Research Center, Sheba Medical Center, Tel Hashomer, Israel
| | - David Orion
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Department of Neurology, Sheba Medical Center, Tel Hashomer, Israel
| | - Saar Anis
- Department of Neurology, Sheba Medical Center, Tel Hashomer, Israel; Movement Disorders Institute, Sheba Medical Center, Tel Hashomer, Israel
| | - Miriam Regev
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Hagith Yonath
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel; Department of Internal Medicine A, Sheba Medical Center, Tel Hashomer, Israel
| | - Dan Dominissini
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; The Genomics Unit, Sheba Cancer Research Center, Sheba Medical Center, Tel Hashomer, Israel; The Wohl Institute for Translational Medicine, Sheba Cancer Research Center, Sheba Medical Center, Tel Hashomer, Israel
| | - Ilan Blatt
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Sharon Hassin-Baer
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Department of Neurology, Sheba Medical Center, Tel Hashomer, Israel; Movement Disorders Institute, Sheba Medical Center, Tel Hashomer, Israel
| | - Amir Dori
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Department of Neurology, Sheba Medical Center, Tel Hashomer, Israel
| | - Elon Pras
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Lior Greenbaum
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel; The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Israel.
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Raycheva R, Kostadinov K, Mitova E, Iskrov G, Stefanov G, Vakevainen M, Elomaa K, Man YS, Gross E, Zschüntzsch J, Röttger R, Stefanov R. Landscape analysis of available European data sources amenable for machine learning and recommendations on usability for rare diseases screening. Orphanet J Rare Dis 2024; 19:147. [PMID: 38582900 PMCID: PMC10998425 DOI: 10.1186/s13023-024-03162-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 03/30/2024] [Indexed: 04/08/2024] Open
Abstract
BACKGROUND Patient registries and databases are essential tools for advancing clinical research in the area of rare diseases, as well as for enhancing patient care and healthcare planning. The primary aim of this study is a landscape analysis of available European data sources amenable to machine learning (ML) and their usability for Rare Diseases screening, in terms of findable, accessible, interoperable, reusable(FAIR), legal, and business considerations. Second, recommendations will be proposed to provide a better understanding of the health data ecosystem. METHODS In the period of March 2022 to December 2022, a cross-sectional study using a semi-structured questionnaire was conducted among potential respondents, identified as main contact person of a health-related databases. The design of the self-completed questionnaire survey instrument was based on information drawn from relevant scientific publications, quantitative and qualitative research, and scoping review on challenges in mapping European rare disease (RD) databases. To determine database characteristics associated with the adherence to the FAIR principles, legal and business aspects of database management Bayesian models were fitted. RESULTS In total, 330 unique replies were processed and analyzed, reflecting the same number of distinct databases (no duplicates included). In terms of geographical scope, we observed 24.2% (n = 80) national, 10.0% (n = 33) regional, 8.8% (n = 29) European, and 5.5% (n = 18) international registries coordinated in Europe. Over 80.0% (n = 269) of the databases were still active, with approximately 60.0% (n = 191) established after the year 2000 and 71.0% last collected new data in 2022. Regarding their geographical scope, European registries were associated with the highest overall FAIR adherence, while registries with regional and "other" geographical scope were ranked at the bottom of the list with the lowest proportion. Responders' willingness to share data as a contribution to the goals of the Screen4Care project was evaluated at the end of the survey. This question was completed by 108 respondents; however, only 18 of them (16.7%) expressed a direct willingness to contribute to the project by sharing their databases. Among them, an equal split between pro-bono and paid services was observed. CONCLUSIONS The most important results of our study demonstrate not enough sufficient FAIR principles adherence and low willingness of the EU health databases to share patient information, combined with some legislation incapacities, resulting in barriers to the secondary use of data.
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Affiliation(s)
- Ralitsa Raycheva
- Department of Social Medicine and Public Health, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria.
- Bulgarian Association for Promotion of Education and Science, Institute for Rare Disease, Plovdiv, Bulgaria.
| | - Kostadin Kostadinov
- Department of Social Medicine and Public Health, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria
- Bulgarian Association for Promotion of Education and Science, Institute for Rare Disease, Plovdiv, Bulgaria
| | - Elena Mitova
- Bulgarian Association for Promotion of Education and Science, Institute for Rare Disease, Plovdiv, Bulgaria
| | - Georgi Iskrov
- Department of Social Medicine and Public Health, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria
- Bulgarian Association for Promotion of Education and Science, Institute for Rare Disease, Plovdiv, Bulgaria
| | - Georgi Stefanov
- Bulgarian Association for Promotion of Education and Science, Institute for Rare Disease, Plovdiv, Bulgaria
| | - Merja Vakevainen
- Pfizer Biopharmaceuticals Group, Medical Affairs, Helsinki, Finland
| | | | - Yuen-Sum Man
- Global Medical Affairs Rare Disease, Novo Nordisk Health Care AG, Zurich, Switzerland
| | - Edith Gross
- EURORDIS - Rare Diseases Europe, 96 Rue Didot, Paris, 75014, France
| | - Jana Zschüntzsch
- Department of Neurology, University Medical Center, Göttingen, Germany
| | - Richard Röttger
- Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark
| | - Rumen Stefanov
- Department of Social Medicine and Public Health, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria
- Bulgarian Association for Promotion of Education and Science, Institute for Rare Disease, Plovdiv, Bulgaria
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6
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Zhou Y, Jiang Y. Current Advances in Genetic Testing for Spinal Muscular Atrophy. Curr Genomics 2023; 24:273-286. [PMID: 38235355 PMCID: PMC10790334 DOI: 10.2174/0113892029273388231023072050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/22/2023] [Accepted: 10/02/2023] [Indexed: 01/19/2024] Open
Abstract
Spinal muscular atrophy (SMA) is one of the most common genetic disorders worldwide, and genetic testing plays a key role in its diagnosis and prevention. The last decade has seen a continuous flow of new methods for SMA genetic testing that, along with traditional approaches, have affected clinical practice patterns to some degree. Targeting different application scenarios and selecting the appropriate technique for genetic testing have become priorities for optimizing the clinical pathway for SMA. In this review, we summarize the latest technological innovations in genetic testing for SMA, including MassArray®, digital PCR (dPCR), next-generation sequencing (NGS), and third-generation sequencing (TGS). Implementation recommendations for rationally choosing different technical strategies in the tertiary prevention of SMA are also explored.
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Affiliation(s)
- Yulin Zhou
- United Diagnostic and Research Center for Clinical Genetics, Women and Children’s Hospital, School of Medicine & School of Public Health, Xiamen University, Xiamen, Fujian 361003, P.R. China
- Biobank, Women and Children’s Hospital, School of Medicine, Xiamen University, Xiamen, Fujian 361003, P.R. China
| | - Yu Jiang
- United Diagnostic and Research Center for Clinical Genetics, Women and Children’s Hospital, School of Medicine & School of Public Health, Xiamen University, Xiamen, Fujian 361003, P.R. China
- Biobank, Women and Children’s Hospital, School of Medicine, Xiamen University, Xiamen, Fujian 361003, P.R. China
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7
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Hakim Zada F, Ahmad Azahari AHS, Wong SW, Ali A, Ismail NAS. Understanding Challenges of Genetic Testing on Neuromuscular Disorders from the Parental Lens. J Pers Med 2023; 13:1652. [PMID: 38138879 PMCID: PMC10744978 DOI: 10.3390/jpm13121652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 11/14/2023] [Accepted: 11/25/2023] [Indexed: 12/24/2023] Open
Abstract
Neuromuscular disorders, characterized by progressive muscle degeneration and weakness, present substantial challenges to both affected individuals and their families. Genetic testing assumes a pivotal role in facilitating early diagnosis, intervention, treatment, and informed family planning for these conditions. The objective of this qualitative study is to delve into the knowledge, awareness, and perceptions surrounding genetic testing within the cohort of parents caring for individuals with neuromuscular disorders in Malaysia. A semi-structured interview approach was employed to elicit data from parents of individuals diagnosed with neuromuscular disorders, encompassing those with clinical diagnoses and those diagnosed through genetic testing. Examination of the interview responses yielded nine overarching themes, which furnish invaluable insights into the perspectives of Malaysian parents concerning genetic testing. The study discerned several challenges associated with genetic testing, notably encompassing the limited awareness among parents, the financial constraints associated with genetic testing, and the perceived significance of genetic testing in the context of neuromuscular disorders. The findings suggest that the level of knowledge and awareness pertaining to genetic testing for neuromuscular disorders among parents in Malaysia varies, with initial levels of awareness ranging from relatively low to reasonably sufficient prior to and following the birth of an affected child. However, the investigation revealed that parents tended to cultivate more favorable perceptions regarding genetic testing subsequent to their experience with genetic counseling. This underscores the potential for heightened awareness and comprehension as a consequence of the personal experience of parenting an affected child confirmed through genetic testing and genetic counseling, ultimately influencing parental awareness.
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Affiliation(s)
- Farheen Hakim Zada
- Department of Pediatric, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Cheras, Kuala Lumpur 56000, Malaysia; (F.H.Z.); (A.H.S.A.A.); (S.W.W.); (A.A.)
| | - Ahmad Hazim Syakir Ahmad Azahari
- Department of Pediatric, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Cheras, Kuala Lumpur 56000, Malaysia; (F.H.Z.); (A.H.S.A.A.); (S.W.W.); (A.A.)
| | - Sau Wei Wong
- Department of Pediatric, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Cheras, Kuala Lumpur 56000, Malaysia; (F.H.Z.); (A.H.S.A.A.); (S.W.W.); (A.A.)
| | - Adli Ali
- Department of Pediatric, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Cheras, Kuala Lumpur 56000, Malaysia; (F.H.Z.); (A.H.S.A.A.); (S.W.W.); (A.A.)
- Research Centre, Hospital Tunku Ampuan Besar Tuanku Aishah Rohani, UKM Specialist Children’s Hospital, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Cheras, Kuala Lumpur 56000, Malaysia
| | - Noor Akmal Shareela Ismail
- Research Centre, Hospital Tunku Ampuan Besar Tuanku Aishah Rohani, UKM Specialist Children’s Hospital, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Cheras, Kuala Lumpur 56000, Malaysia
- Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Cheras, Kuala Lumpur 56000, Malaysia
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8
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Rosenberg A, Tian C, He H, Ulm E, Collins Ruff K, B Nagaraj C. An evaluation of clinical presentation and genetic testing approaches for patients with neuromuscular disorders. Am J Med Genet A 2023; 191:2679-2692. [PMID: 37503964 DOI: 10.1002/ajmg.a.63356] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 04/20/2023] [Accepted: 06/29/2023] [Indexed: 07/29/2023]
Abstract
Inherited neuromuscular disorders (NMDs) are a large group of genetic conditions characterized by impaired peripheral nerve, motor neuron, neuromuscular junction, or skeletal muscle function. These conditions are also known to have clinical and genetic heterogeneity and variable ages of onset. Clinical evaluation for NMDs has increasingly incorporated molecular genetics. However, genetic testing is complicated by the variety of testing options and the ambiguity of NMD phenotypes. Examining test selection and yield may elucidate testing recommendations and improve the diagnostic journey for these patients. This retrospective chart review evaluated the clinical presentations, genetic testing approaches, and diagnostic outcomes of 155 patients with suspected NMDs at Cincinnati Children's Hospital Medical Center. A total of 262 individual tests were ordered, averaging 1.7 tests per patient. The clinic utilized 26 separate genetic tests, with test yields ranging from 0% to 66%. Overall, 21% of patients received a genetic diagnosis. Of all the clinical findings evaluated, elevated CPK levels with or without muscle weakness were the most informative symptoms correlated with a diagnostic result. This study highlights several genetic testing considerations for NMDs, including the variability of diagnostic outcomes. This knowledge is relevant to clinicians and patients, especially during the pretest counseling and consenting process.
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Affiliation(s)
- Amanda Rosenberg
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Cuixia Tian
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Hua He
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Elizabeth Ulm
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | | | - Chinmayee B Nagaraj
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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9
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Akbar F, Saleem SM, Khalid E, Ibrahim S, Afroze B, Kirmani S, Khan S. The spectrum of hereditary neuromuscular disorders in the Pakistani population. Am J Med Genet A 2023; 191:2536-2550. [PMID: 37366078 DOI: 10.1002/ajmg.a.63332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/21/2023] [Accepted: 06/07/2023] [Indexed: 06/28/2023]
Abstract
Hereditary neuromuscular disorders (NMDs) are a broad group of clinically heterogeneous disorders with varying inheritance patterns, that are associated with over 500 implicated genes. In the context of a highly consanguineous Pakistani population, we expect that autosomal recessive NMDs may have a higher prevalence compared with patients of European descent. This is the first study to offer a detailed description of the spectrum of genes causing hereditary NMDs in the Pakistani population using NGS testing. To study the clinical and genetic profiles of patients presenting for evaluation of a hereditary neuromuscular disorder. This is a retrospective chart review of patients seen in the Neuromuscular Disorders Clinic and referred to the Genetics Clinic with a suspected hereditary neuromuscular disorder, between 2016 and 2020 at the Aga Khan University Hospital, Karachi and Mukhtiar A. Sheikh Hospital, Multan, Pakistan. The genetic testing for these patients included NGS-based single gene sequencing, NGS-based multi-gene panel and whole exome sequencing. In a total of 112 patients studied, 35 (31.3%) were female. The mean age of onset in all patients was 14.6 years (SD ±12.1 years), with the average age at presentation to the clinic of 22.4 years (SD ±14.10 years). Forty-seven (41.9%) patients had a positive genetic test result, 53 (47.3%) had one or more variants of uncertain significance (VUS), and 12 (10.7%) had a negative result. Upon further genotype-phenotype correlation and family segregation analysis, the diagnostic yield improved, with 59 (52.7%) patients reaching a diagnosis of a hereditary NMD. We also report probable founder variants in COL6A2, FKTN, GNE, and SGCB, previously reported in populations that have possible shared ancestry with the Pakistani population. Our findings reemphasizes that the rate of VUSs can be reduced by clinical correlation and family segregation studies.
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Affiliation(s)
- Fizza Akbar
- Division of Women and Child Health, The Aga Khan University, Karachi, Pakistan
| | | | | | - Shahnaz Ibrahim
- Department of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan
| | - Bushra Afroze
- Department of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan
| | - Salman Kirmani
- Division of Women and Child Health, The Aga Khan University, Karachi, Pakistan
| | - Sara Khan
- Department of Neurology, The Aga Khan University, Karachi, Pakistan
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10
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Galatolo D, Trovato R, Scarlatti A, Rossi S, Natale G, De Michele G, Barghigiani M, Cioffi E, Filla A, Bilancieri G, Casali C, Santorelli FM, Silvestri G, Tessa A. Power of NGS-based tests in HSP diagnosis: analysis of massively parallel sequencing in clinical practice. Neurogenetics 2023; 24:147-160. [PMID: 37131039 DOI: 10.1007/s10048-023-00717-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 04/24/2023] [Indexed: 05/04/2023]
Abstract
Hereditary spastic paraplegia (HSP) refers to a group of heterogeneous neurological disorders mainly characterized by corticospinal degeneration (pure forms), but sometimes associated with additional neurological and extrapyramidal features (complex HSP). The advent of next-generation sequencing (NGS) has led to huge improvements in knowledge of HSP genetics and made it possible to clarify the genetic etiology of hundreds of "cold cases," accelerating the process of reaching a molecular diagnosis. The different NGS-based strategies currently employed as first-tier approaches most commonly involve the use of targeted resequencing panels and exome sequencing, whereas genome sequencing remains a second-tier approach because of its high costs. The question of which approach is the best is still widely debated, and many factors affect the choice. Here, we aim to analyze the diagnostic power of different NGS techniques applied in HSP, by reviewing 38 selected studies in which different strategies were applied in different-sized cohorts of patients with genetically uncharacterized HSP.
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Affiliation(s)
| | - Rosanna Trovato
- Molecular Medicine, IRCCS Stella Maris Foundation, Pisa, Italy
| | - Arianna Scarlatti
- Molecular Medicine, IRCCS Stella Maris Foundation, Pisa, Italy
- Laboratory of Biology, BIO@SNS, Scuola Normale Superiore, Pisa, Italy
| | - Salvatore Rossi
- UOC Neurologia, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy
| | - Gemma Natale
- Molecular Medicine, IRCCS Stella Maris Foundation, Pisa, Italy
| | - Giovanna De Michele
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy
| | | | - Ettore Cioffi
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy
| | - Alessandro Filla
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy
| | | | - Carlo Casali
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy
| | | | - Gabriella Silvestri
- UOC Neurologia, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy
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11
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McNally EM. Removing uncertainty from variants of unknown significance. J Clin Invest 2023; 133:e171497. [PMID: 37317969 PMCID: PMC10266788 DOI: 10.1172/jci171497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023] Open
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12
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Papadopoulou E, Pepe G, Konitsiotis S, Chondrogiorgi M, Grigoriadis N, Kimiskidis VK, Tsivgoulis G, Mitsikostas DD, Chroni E, Domouzoglou E, Tsaousis G, Nasioulas G. The evolution of comprehensive genetic analysis in neurology: Implications for precision medicine. J Neurol Sci 2023; 447:120609. [PMID: 36905813 DOI: 10.1016/j.jns.2023.120609] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 03/07/2023]
Abstract
Technological advancements have facilitated the availability of reliable and thorough genetic analysis in many medical fields, including neurology. In this review, we focus on the importance of selecting the appropriate genetic test to aid in the accurate identification of disease utilizing currently employed technologies for analyzing monogenic neurological disorders. Moreover, the applicability of comprehensive analysis via NGS for various genetically heterogeneous neurological disorders is reviewed, revealing its efficiency in clarifying a frequently cloudy diagnostic picture and delivering a conclusive and solid diagnosis that is essential for the proper management of the patient. The feasibility and effectiveness of medical genetics in neurology require interdisciplinary cooperation among several medical specialties and geneticists, to select and perform the most relevant test according to each patient's medical history, using the most appropriate technological tools. The prerequisites for a comprehensive genetic analysis are discussed, highlighting the utility of appropriate gene selection, variant annotation, and classification. Moreover, genetic counseling and interdisciplinary collaboration could improve diagnostic yield further. Additionally, a sub-analysis is conducted on the 1,502,769 variation records with submitted interpretations in the Clinical Variation (ClinVar) database, with a focus on neurology-related genes, to clarify the value of suitable variant categorization. Finally, we review the current applications of genetic analysis in the diagnosis and personalized management of neurological patients and the advances in the research and scientific knowledge of hereditary neurological disorders that are evolving the utility of genetic analysis towards the individualization of the treatment strategy.
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Affiliation(s)
| | - Georgia Pepe
- GeneKor Medical SA, Spaton 52, Gerakas 15344, Greece
| | - Spiridon Konitsiotis
- Department of Neurology, University of Ioannina, Stavrou Niarchou Avenue, Ioannina 45500, Greece
| | - Maria Chondrogiorgi
- Department of Neurology, University of Ioannina, Stavrou Niarchou Avenue, Ioannina 45500, Greece
| | - Nikolaos Grigoriadis
- Second Department of Neurology, "AHEPA" University Hospital, Aristotle University of Thessaloniki, St. Kiriakidis 1, Thessaloniki 54636, Greece
| | - Vasilios K Kimiskidis
- First Department of Neurology, "AHEPA" University hospital, Aristotle University of Thessaloniki, St. Kiriakidis 1, Thessaloniki 54636, Greece
| | - Georgios Tsivgoulis
- Second Department of Neurology, School of Medicine, "Attikon" University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimos D Mitsikostas
- First Department of Neurology, Aeginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Elisabeth Chroni
- Department of Neurology, School of Medicine, University of Patras, Rio-Patras, Greece
| | - Eleni Domouzoglou
- Department of Pediatrics, University Hospital of Ioannina, Stavrou Niarchou Avenue, Ioannina 45500, Greece
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13
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Kim H, Shim Y, Lee TG, Won D, Choi JR, Shin S, Lee ST. Copy-number analysis by base-level normalization: An intuitive visualization tool for evaluating copy number variations. Clin Genet 2023; 103:35-44. [PMID: 36152294 DOI: 10.1111/cge.14236] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 09/19/2022] [Accepted: 09/20/2022] [Indexed: 12/13/2022]
Abstract
Next-generation sequencing (NGS) facilitates comprehensive molecular analyses that help with diagnosing unsolved disorders. In addition to detecting single-nucleotide variations and small insertions/deletions, bioinformatics tools can identify copy number variations (CNVs) in NGS data, which improves the diagnostic yield. However, due to the possibility of false positives, subsequent confirmation tests are generally performed. Here, we introduce Copy-number Analysis by BAse-level NormAlization (CABANA), a visualization tool that allows users to intuitively identify candidate CNVs using the normalized single-base-level read depth calculated from NGS data. To demonstrate how CABANA works, NGS data were obtained from 474 patients with neuromuscular disorders. CNVs were screened using a conventional bioinformatics tool, ExomeDepth, and then we normalized and visualized those data at the single-base level using CABANA, followed by manual inspection by geneticists to filter out false positives and determine candidate CNVs. In doing so, we identified 31 candidate CNVs (7%) in 474 patients and subsequently confirmed all of them to be true using multiplex ligation-dependent probe amplification. The performance of CABANA was deemed acceptable by comparing its diagnostic yield with previous data about neuromuscular disorders. Despite some limitations, we expect CABANA to help researchers accurately identify CNVs and reduce the need for subsequent confirmation testing.
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Affiliation(s)
- Hongkyung Kim
- Department of Laboratory Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea
| | - Yeeun Shim
- Brain Korea 21 PLUS Project for Medical Science, Yonsei University, Seoul, Republic of Korea
| | - Taek Gyu Lee
- Brain Korea 21 PLUS Project for Medical Science, Yonsei University, Seoul, Republic of Korea
| | - Dongju Won
- Department of Laboratory Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea
| | - Jong Rak Choi
- Department of Laboratory Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.,Dxome Co. Ltd, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Saeam Shin
- Department of Laboratory Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea
| | - Seung-Tae Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.,Dxome Co. Ltd, Seongnam-si, Gyeonggi-do, Republic of Korea
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14
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Bodkin C, Comer A, Felker M, Gutmann L, Jones KA, Kincaid J, Payne KK, Skinner B. Challenging Neuromuscular Disease Cases. Semin Neurol 2022; 42:716-722. [PMID: 36417990 DOI: 10.1055/a-1985-0230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The diagnosis of neuromuscular disorders requires a thorough history including family history and examination, with the next steps broadened now beyond electromyography and neuropathology to include genetic testing. The challenge in diagnosis can often be putting all the information together. With advances in genetic testing, some diagnoses that adult patients may have received as children deserve a second look and may result in diagnoses better defined or alternative diagnoses made. Clearly defining or redefining a diagnosis can result in understanding of potential other systems involved, prognosis, or potential treatments. This article presents several cases and approach to diagnosis as well as potential treatment and prognostic concerns, including seipinopathy, congenital myasthenic syndrome, central core myopathy, and myotonic dystrophy type 2.
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Affiliation(s)
- Cynthia Bodkin
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Adam Comer
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Marcia Felker
- Division of Pediatric Neurology, Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Laurie Gutmann
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Karra A Jones
- Department of Pathology, Duke University Medical Center, Durham, North Carolina
| | - John Kincaid
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Katelyn K Payne
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana.,Department of Medical Genetics and Genomics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Blair Skinner
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana
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15
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Ng KWP, Chin HL, Chin AXY, Goh DLM. Using gene panels in the diagnosis of neuromuscular disorders: A mini-review. Front Neurol 2022; 13:997551. [PMID: 36313509 PMCID: PMC9602396 DOI: 10.3389/fneur.2022.997551] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 09/21/2022] [Indexed: 09/26/2023] Open
Abstract
The diagnosis of inherited neuromuscular disorders is challenging due to their genetic and phenotypic variability. Traditionally, neurophysiology and histopathology were primarily used in the initial diagnostic approach to these conditions. Sanger sequencing for molecular diagnosis was less frequently utilized as its application was a time-consuming and cost-intensive process. The advent and accessibility of next-generation sequencing (NGS) has revolutionized the evaluation process of genetically heterogenous neuromuscular disorders. Current NGS diagnostic testing approaches include gene panels, whole exome sequencing (WES), and whole genome sequencing (WGS). Gene panels are often the most widely used, being more accessible due to availability and affordability. In this mini-review, we describe the benefits and risks of clinical genetic testing. We also discuss the utility, benefits, challenges, and limitations of using gene panels in the evaluation of neuromuscular disorders.
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Affiliation(s)
- Kay W. P. Ng
- Division of Neurology, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Hui-Lin Chin
- Division of Genetics and Metabolism, Department of Paediatrics, Khoo Teck Puat - National University Children's Medical Institute, National University Hospital, Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Amanda X. Y. Chin
- Division of Neurology, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Denise Li-Meng Goh
- Division of Genetics and Metabolism, Department of Paediatrics, Khoo Teck Puat - National University Children's Medical Institute, National University Hospital, Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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16
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Diagnostic Outcome of Genetic Testing for Neuromuscular Disorders in a Tertiary Center. J Clin Neuromuscul Dis 2022; 24:1-6. [PMID: 36005468 DOI: 10.1097/cnd.0000000000000389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT Genetic testing is an effective and reliable modality in clinical neuromuscular diagnosis. The recent developments in testing methods and increasing reliance on genetic testing in clinical practice require more studies to examine the benefits and advantages of such tests. We examined the results of single-gene sequencing/repeat analysis, panels, and whole-genome sequencing (WES) of 514 tests of 393 patients. All patients were suspected of a neuromuscular disorder and the samples were either WBC or muscle tissue. 28.60% (n.147) of the tests were positive while 23.74% (n.122) were VUS. In single-gene sequencing/repeat analysis, 43.08% were positive, in panels, 23.17% were positive, while 30.00% were positive in WES. Our results showed consistency with current studies and improvement of the utility of genetic testing. Although some obstacles are identified, providing statistical data can support more usage and popularity of genetic testing among physicians and patients.
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17
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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: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [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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18
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Diagnostic yield of multi-gene panel for muscular dystrophies and other hereditary myopathies. Neurol Sci 2022; 43:4473-4481. [PMID: 35175440 DOI: 10.1007/s10072-022-05934-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 02/03/2022] [Indexed: 12/14/2022]
Abstract
Genetic testing is being considered the first-step in the investigation of hereditary myopathies. However, the performance of the different testing approaches is little known. The aims of the present study were to evaluate the diagnostic yield of a next-generation sequencing panel comprising 39 genes as the first-tier test for genetic myopathies diagnosis and to characterize clinical and molecular findings of families from southern Brazil. Fifty-one consecutive index cases with clinical suspicion of genetic myopathies were recruited from October 2014 to March 2018 in a cross-sectional study. The overall diagnostic yield of the next-generation sequencing panel was 52.9%, increasing to 60.8% when including cases with candidate variants. Multi-gene panel solved the diagnosis of 12/25 (48%) probands with limb-girdle muscular dystrophies, of 7/14 (50%) with congenital muscular diseases, and of 7/10 (70%) with muscular dystrophy with prominent joint contractures. The most frequent diagnosis for limb-girdle muscular dystrophies were LGMD2A/LGMD-R1-calpain3-related and LGMD2B/LGMD-R2-dysferlin-related; for congenital muscular diseases, RYR1-related-disorders; and for muscular dystrophy with prominent joint contractures, Emery-Dreifuss-muscular-dystrophy-type-1 and COL6A1-related-disorders. In summary, the customized next-generation sequencing panel when applied in the initial investigation of genetic myopathies results in high diagnostic yield, likely reducing patient's diagnostic odyssey and providing important information for genetic counseling and participation in disease-specific clinical trials.
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19
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Barbosa-Gouveia S, Vázquez-Mosquera ME, González-Vioque E, Hermida-Ameijeiras Á, Sánchez-Pintos P, de Castro MJ, León SR, Gil-Fournier B, Domínguez-González C, Camacho Salas A, Negrão L, Fineza I, Laranjeira F, Couce ML. Rapid Molecular Diagnosis of Genetically Inherited Neuromuscular Disorders Using Next-Generation Sequencing Technologies. J Clin Med 2022; 11:jcm11102750. [PMID: 35628876 PMCID: PMC9143479 DOI: 10.3390/jcm11102750] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/13/2022] [Accepted: 05/09/2022] [Indexed: 02/07/2023] Open
Abstract
Neuromuscular diseases are genetically highly heterogeneous, and differential diagnosis can be challenging. Over a 3-year period, we prospectively analyzed 268 pediatric and adult patients with a suspected diagnosis of inherited neuromuscular disorder (INMD) using comprehensive gene-panel analysis and next-generation sequencing. The rate of diagnosis increased exponentially with the addition of genes to successive versions of the INMD panel, from 31% for the first iteration (278 genes) to 40% for the last (324 genes). The global mean diagnostic rate was 36% (97/268 patients), with a diagnostic turnaround time of 4–6 weeks. Most diagnoses corresponded to muscular dystrophies/myopathies (68.37%) and peripheral nerve diseases (22.45%). The most common causative genes, TTN, RYR1, and ANO5, accounted for almost 30% of the diagnosed cases. Finally, we evaluated the utility of the differential diagnosis tool Phenomizer, which established a correlation between the phenotype and molecular findings in 21% of the diagnosed patients. In summary, comprehensive gene-panel analysis of all genes implicated in neuromuscular diseases facilitates a rapid diagnosis and provides a high diagnostic yield.
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Affiliation(s)
- Sofia Barbosa-Gouveia
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (M.E.V.-M.); (Á.H.-A.); (P.S.-P.); (M.J.d.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela University Clinical Hospital, European Reference Network for Hereditary Metabolic Disorders (MetabERN), 15704 Santiago de Compostela, Spain
- Correspondence: (S.B.-G.); (M.L.C.); Tel.: +34-981-950-151 (M.L.C.)
| | - Maria Eugenia Vázquez-Mosquera
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (M.E.V.-M.); (Á.H.-A.); (P.S.-P.); (M.J.d.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela University Clinical Hospital, European Reference Network for Hereditary Metabolic Disorders (MetabERN), 15704 Santiago de Compostela, Spain
| | - Emiliano González-Vioque
- Department of Clinical Biochemistry, Puerta de Hierro-Majadahonda University Hospital, 28222 Majadahonda, Spain;
| | - Álvaro Hermida-Ameijeiras
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (M.E.V.-M.); (Á.H.-A.); (P.S.-P.); (M.J.d.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela University Clinical Hospital, European Reference Network for Hereditary Metabolic Disorders (MetabERN), 15704 Santiago de Compostela, Spain
| | - Paula Sánchez-Pintos
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (M.E.V.-M.); (Á.H.-A.); (P.S.-P.); (M.J.d.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela University Clinical Hospital, European Reference Network for Hereditary Metabolic Disorders (MetabERN), 15704 Santiago de Compostela, Spain
| | - Maria José de Castro
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (M.E.V.-M.); (Á.H.-A.); (P.S.-P.); (M.J.d.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela University Clinical Hospital, European Reference Network for Hereditary Metabolic Disorders (MetabERN), 15704 Santiago de Compostela, Spain
| | - Soraya Ramiro León
- Genetics Department, Hospital Universitario de Getafe, 28905 Madrid, Spain; (S.R.L.); (B.G.-F.)
| | - Belén Gil-Fournier
- Genetics Department, Hospital Universitario de Getafe, 28905 Madrid, Spain; (S.R.L.); (B.G.-F.)
| | - Cristina Domínguez-González
- Neuromuscular Unit, Imas12 Research Institute, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain;
- Center for Biomedical Network Research On Rare Diseases (CIBERER), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Ana Camacho Salas
- Pediatric Neurology Unit, Hospital Universitario 12 de Octubre, Complutense University of Madrid, 28041 Madrid, Spain;
| | - Luis Negrão
- Neuromuscular Diseases Unit, Neurology Service, Centro Hospitalar e Universitário de Coimbra, 3000-075 Coimbra, Portugal;
| | - Isabel Fineza
- Pediatric Neurology Department, Child Developmental Center, Hospital Pediátrico, Centro Hospitalar e Universitário de Coimbra Coimbra Portugal, 3000-075 Coimbra, Portugal;
| | - Francisco Laranjeira
- Biochemical Genetics Unit, Centro de Genética Médica Doutor Jacinto Magalhães, 4050-466 Porto, Portugal;
| | - Maria Luz Couce
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (M.E.V.-M.); (Á.H.-A.); (P.S.-P.); (M.J.d.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IDIS-Health Research Institute of Santiago de Compostela, Santiago de Compostela University Clinical Hospital, European Reference Network for Hereditary Metabolic Disorders (MetabERN), 15704 Santiago de Compostela, Spain
- Correspondence: (S.B.-G.); (M.L.C.); Tel.: +34-981-950-151 (M.L.C.)
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Panwala TF, Garcia-Santibanez R, Vizcarra JA, Garcia AG, Verma S. Childhood-Onset Hereditary Spastic Paraplegia (HSP): A Case Series and Review of Literature. Pediatr Neurol 2022; 130:7-13. [PMID: 35303589 DOI: 10.1016/j.pediatrneurol.2022.02.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 01/30/2022] [Accepted: 02/25/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Hereditary spastic paraplegia (HSP) encompasses several rare genetic disorders characterized by progressive lower extremity spasticity and weakness caused by corticospinal tract degeneration. Published literature on genetically confirmed pediatric HSP cases is limited. METHODS We conducted a retrospective review of childhood-onset HSP cases followed in the neuromuscular clinics at Children's and Emory Healthcare in Atlanta. Clinical presentation, family history, examination, electrodiagnostic data, neuroimaging, genetic test results, comorbidities, and treatment were recorded. RESULTS Sixteen patients with HSP (eight males, eight females) with a mean age 19 years ± 15.7 years were included. Ten patients (66%) presented with gait difficulty. Seven (44%) were ambulatory at the last clinic follow-up visit with an average disease duration of 7.4 years. Genetically confirmed etiologies included SPAST (3 patients), MARS (2), KIF1A (2), KIF5A (1), SACS (1), SPG7 (1), REEP1 (1), PNPT1 (1), MT-ATP6 (1), and ATL1 (1). Symptom onset to genetic confirmation on an average was 8.2 years. Sensory motor axonal polyneuropathy was found in seven patients, and two exhibited cerebellar atrophy on magnetic resonance imaging (MRI) of the brain. Neurological comorbidities included developmental delay (n = 9), autism (n = 5), epilepsy (n = 3), and attention-deficit/hyperactivity disorder (n = 2). CONCLUSIONS In our study, a significant proportion (70%) of subjects with childhood-onset HSP had comorbid neurocognitive deficits, polyneuropathy with or without neuroimaging abnormalities, and rare genetic etiology. Genetic diagnosis was established either through inherited genetic neuropathy panel or whole-exome sequencing, which supports the utility of whole-exome sequencing in aiding in HSP diagnosis.
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Affiliation(s)
- Tanya F Panwala
- Florida Atlantic University, Charles E. Schmidt College of Medicine, Boca Raton, Florida
| | | | - Joaquin A Vizcarra
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia
| | - Aixa Gonzalez Garcia
- Department of Pediatrics, Genetics Section, University of Arkansas for Medical Sciences and Arkansas Children's Hospital, Little Rock, Arkansas
| | - Sumit Verma
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia; Division of Pediatric Neurology, Children's Healthcare of Atlanta and Emory University School of Medicine, Atlanta, Georgia.
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21
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Walsh M, West K, Taylor JA, Thompson BA, Hopkins A, Sexton A, Ragunathan A, Verma KP, Panetta J, Matotek E, Fahey MC, Christie M, Winship IM, Trainer AH, James PA. Real world outcomes and implementation pathways of exome sequencing in an adult genetic department. Genet Med 2022; 24:1536-1544. [PMID: 35416776 DOI: 10.1016/j.gim.2022.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 10/18/2022] Open
Abstract
PURPOSE This study aimed to correlate the indications and diagnostic yield of exome sequencing (ES) in adult patients across various clinical settings. The secondary aim was to examine the clinical utility of ES in adult patients. METHODS Data on demographics, clinical indications, results, management changes, and cascade testing were collected for 250 consecutive patients who underwent ES through an adult genetics department between 2016 and 2021. Data were analyzed using descriptive and inferential statistics. Testing in which traditional gene panels were in standard use, such as in heritable cancers, was excluded. RESULTS The average age at testing was 43 years (range = 17-80 years). A molecular diagnosis was identified in 29% of patients. Older age at symptom onset did not pre-exclude a substantial diagnostic yield. Patients with syndromic intellectual disability and multiple system disorders had the highest yield. In >50% of patients with an exome diagnosis, the results changed management. Cascade testing occured in at least one family member for 30% of patients with a diagnosis. Diagnostic results had reproductive implications for 26% of patients and 31% of patients' relatives. CONCLUSION ES has a robust diagnostic yield and clear clinical utility in adult patients across a range of ages and phenotypes.
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Affiliation(s)
- Maie Walsh
- Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia; Department of Medicine at Royal Melbourne Hospital, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia.
| | - Kirsty West
- Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Jessica A Taylor
- Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Bryony A Thompson
- Department of Pathology, The Royal Melbourne Hospital, Parkville, Victoria, Australia; Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Adelaide Hopkins
- Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Adrienne Sexton
- Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia; Department of Medicine at Royal Melbourne Hospital, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Abiramy Ragunathan
- Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Kunal P Verma
- Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Julie Panetta
- Metabolic Diseases Unit (MDU), The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Ebony Matotek
- Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Michael C Fahey
- Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Michael Christie
- Department of Medicine at Royal Melbourne Hospital, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia; Department of Pathology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Ingrid M Winship
- Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia; Department of Medicine at Royal Melbourne Hospital, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Alison H Trainer
- Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia; Department of Medicine at Royal Melbourne Hospital, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Paul A James
- Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia; Department of Medicine at Royal Melbourne Hospital, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
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22
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Gemelli C, Traverso M, Trevisan L, Fabbri S, Scarsi E, Carlini B, Prada V, Mongini T, Ruggiero L, Patrone S, Gallone S, Iodice R, Pisciotta L, Zara F, Origone P, Rota E, Minetti C, Bruno C, Schenone A, Mandich P, Fiorillo C, Grandis M. An integrated approach to the evaluation of patients with asymptomatic or minimally symptomatic hyperCKemia. Muscle Nerve 2021; 65:96-104. [PMID: 34687219 PMCID: PMC9298868 DOI: 10.1002/mus.27448] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 10/17/2021] [Accepted: 10/18/2021] [Indexed: 02/01/2023]
Abstract
Introduction/Aims Currently, there are no straightforward guidelines for the clinical and diagnostic management of hyperCKemia, a frequent and nonspecific presentation in muscle diseases. Therefore, we aimed to describe our diagnostic workflow for evaluating patients with this condition. Methods We selected 83 asymptomatic or minimally symptomatic patients with persistent hyperCKemia for participation in this Italian multicenter study. Patients with facial involvement and distal or congenital myopathies were excluded, as were patients with suspected inflammatory myopathies or predominant respiratory or cardiac involvement. All patients underwent a neurological examination and nerve conduction and electromyography studies. The first step of the investigation included a screening for Pompe disease. We then evaluated the patients for myotonic dystrophy type II–related CCTG expansion and excluded patients with copy number variations in the DMD gene. Subsequently, the undiagnosed patients were investigated using a target gene panel that included 20 genes associated with isolated hyperCKemia. Results Using this approach, we established a definitive diagnosis in one third of the patients. The detection rate was higher in patients with severe hyperCKemia and abnormal electromyographic findings. Discussion We have described our diagnostic workflow for isolated hyperCKemia, which is based on electrodiagnostic data, biochemical screening, and first‐line genetic investigations, followed by successive targeted sequencing panels. Both clinical signs and electromyographic abnormalities are associated with increased diagnostic yields.
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Affiliation(s)
- Chiara Gemelli
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Genoa, Italy
| | - Monica Traverso
- Paediatric Neurology and Muscular Diseases Unit, IRCCS G. Gaslini Institute, Genoa, Italy
| | - Lucia Trevisan
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Genoa, Italy
| | - Sabrina Fabbri
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Genoa, Italy
| | - Elena Scarsi
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Genoa, Italy
| | - Barbara Carlini
- Unit of Medical Genetics, IRCCS G. Gaslini Institute, Genoa, Italy
| | - Valeria Prada
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Genoa, Italy
| | - Tiziana Mongini
- Neuromuscular Unit, Department of Neurosciences Rita Levi Montalcini, University of Torino, Torino, Italy
| | - Lucia Ruggiero
- Dipartimento di Neuroscienze e Scienze Riproduttive ed Odontostomatologiche, Università degli Studi di Napoli "Federico II,", Naples, Italy
| | - Serena Patrone
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Genoa, Italy
| | - Salvatore Gallone
- Neurogenetic Service, Department of Neurosciences, AOU Città della salute e della scienza, Torino, Italy
| | - Rosa Iodice
- Dipartimento di Neuroscienze e Scienze Riproduttive ed Odontostomatologiche, Università degli Studi di Napoli "Federico II,", Naples, Italy
| | - Livia Pisciotta
- Department of Internal Medicine, University of Genoa, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Federico Zara
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Unit of Medical Genetics IRCCS G. Gaslini Institute, Genoa, Italy
| | - Paola Origone
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Unit of Medical Genetics, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Eugenia Rota
- Neurology Unit, ASL Alessandria, Novi Ligure, Italy
| | - Carlo Minetti
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Pediatric Neurology and Muscular Diseases Unit, IRCCS G. Gaslini Institute, Genoa, Italy
| | - Claudio Bruno
- Centre of Experimental and Translational Myology, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Angelo Schenone
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Unit of Neurology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Paola Mandich
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Unit of Medical Genetics, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Chiara Fiorillo
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Pediatric Neurology and Muscular Diseases Unit, IRCCS G. Gaslini Institute, Genoa, Italy
| | - Marina Grandis
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences, University of Genova, Unit of Neurology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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Trachtenberg BH, Shah SK, Nussbaum RL, Bristow SL, Malladi R, Vatta M. Presence of the V122I Variant of Hereditary Transthyretin-Mediated Amyloidosis Among Self-Reported White Individuals in a Sponsored Genetic Testing Program. Circ Genom Precis Med 2021; 14:e003466. [DOI: 10.1161/circgen.121.003466] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | | | | | | | | | - Matteo Vatta
- Invitae, San Francisco, CA (R.L.N., S.L.B., M.V.)
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Molecular Diagnosis of Pompe Disease in the Genomic Era: Correlation with Acid Alpha-Glucosidase Activity in Dried Blood Spots. J Clin Med 2021; 10:jcm10173868. [PMID: 34501319 PMCID: PMC8432085 DOI: 10.3390/jcm10173868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 08/23/2021] [Accepted: 08/24/2021] [Indexed: 11/17/2022] Open
Abstract
Measurement of alpha-glucosidase activity on dried blood spots has been the main method to screen for Pompe disease, but a paradigm shift has been observed in recent years with the incorporation of gene panels and exome sequencing in molecular diagnostic laboratories. An 89-gene panel has been available to Canadian physicians since 2017 and was analyzed in 2030 patients with a suspected muscle disease. Acid alpha-glucosidase activity was measured in parallel in dried blood spots from 1430 patients. Pompe disease was diagnosed in 14 patients, representing 0.69% of our cohort. In 7 other patients, low enzyme activities overlapping those of Pompe disease cases were attributable to the presence of pseudodeficiency alleles. Only two other patients had enzymatic activity in the Pompe disease range, and a single heterozygous pathogenic variant was identified. It is possible that a second variant could have been missed; we suggest that RNA analysis should be considered in such cases. With gene panel testing increasingly being performed as a first-tier analysis of patients with suspected muscle disorders, our study supports the relevance of performing reflex enzymatic activity assay in selected patients, such as those with a single GAA variant identified and those in whom the observed genotype is of uncertain clinical significance.
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25
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Vázquez J, Lefeuvre C, Escobar RE, Luna Angulo AB, Miranda Duarte A, Delia Hernandez A, Brisset M, Carlier RY, Leturcq F, Durand-Canard MC, Nicolas G, Laforet P, Malfatti E. Phenotypic Spectrum of Myopathies with Recessive Anoctamin-5 Mutations. J Neuromuscul Dis 2021; 7:443-451. [PMID: 32925086 DOI: 10.3233/jnd-200515] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Biallelic variants in Anoctamin 5 (ANO5) gene are causative of limb-girdle muscular dystrophy (LGMD) R12 anoctamin5-related, non-dysferlin Miyoshi-like distal myopathy (MMD3), and asymptomatic hyperCKemia. OBJECTIVE To describe clinic, histologic, genetic and imaging features, of ANO5 mutated patients. METHODS Five patients, four from France (P1, P2, P3 and P4) and one from Mexico (P5), from four families were included. P1 and P2, belonging to group 1, had normal muscle strength; Group 2, P3, P4 and P5, presented with muscular weakness. Muscle strength was measured by manual muscle testing, Medical Research Council (MRC) grades 1/5 to 5/5. Laboratory exams included serum CK levels, nerve conduction studies (NCS)/needle electromyography (EMG), pulmonary function tests, EKG and cardiac ultrasound. ANO5 molecular screening was performed with different approaches. RESULTS Group 1 patients showed myalgias with hyperCKemia or isolated hyperCKemia. Group 2 patients presented with limb-girdle or proximo-distal muscular weakness. Serum CK levels ranged from 897 to 5000 UI/L. Muscle biopsy analysis in P4 and P5 showed subsarcolemmal mitochondrial aggregates. Electron microscopy confirmed mitochondrial proliferation and revealed discontinuity of the sarcolemmal membrane. Muscle MRI showed asymmetrical fibro-fatty substitution predominant in the lower limbs.P1 and P2 were compound heterozygous for c.191dupA (p.Asn64Lysfs*15) and c.1898 + G>A; P3 was homozygous for the c.692G>T. (p.Gly231Val); P4 harbored a novel biallelic homozygous exons 1-7 ANO5 gene deletion, and P5 was homozygous for a c.172 C > T (p.(Arg 58 Trp)) ANO5 pathogenic variant. CONCLUSIONS Our cohort confirms the wide clinical variability and enlarge the genetic spectrum of ANO5-related myopathies.
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Affiliation(s)
- José Vázquez
- Department of Medical Genetics, National Rehabilitation Institute, "Luis Guillermo Ibarra Ibarra", México.,APHP, Department of Neurology, Raymond Poincaré Hospital, North-East-Ile-de-France Neuromuscular Pathology Reference Center, U 1179 INSERM, University Saint Quentin en Yvelines Versailles; Paris-Saclay, France
| | - Claire Lefeuvre
- APHP, Department of Neurology, Raymond Poincaré Hospital, North-East-Ile-de-France Neuromuscular Pathology Reference Center, U 1179 INSERM, University Saint Quentin en Yvelines Versailles; Paris-Saclay, France
| | - Rosa Elena Escobar
- Department of Electromyography and Muscle Dystrophies, National Rehabilitation Institute, "Luis Guillermo Ibarra Ibarra", México
| | | | - Antonio Miranda Duarte
- Department of Medical Genetics, National Rehabilitation Institute, "Luis Guillermo Ibarra Ibarra", México
| | - Alma Delia Hernandez
- Department of Pathology, National Rehabilitation Institute, "Luis Guillermo Ibarra Ibarra", México
| | - Marion Brisset
- APHP, Department of Neurology, Raymond Poincaré Hospital, North-East-Ile-de-France Neuromuscular Pathology Reference Center, U 1179 INSERM, University Saint Quentin en Yvelines Versailles; Paris-Saclay, France
| | - Robert-Yves Carlier
- APHP, GH U. Paris Saclay, DMU Smart Imaging, Department of Radiology, Raymond Poincaré teaching Hospital, 104 Bld R. Poincaré, 92380 Garches, France; U 1179 INSERM, Université Paris-Saclay
| | - France Leturcq
- APHP, Department of Genetics, Cochin Hospital, Paris, France
| | - Marie-Christine Durand-Canard
- APHP, Service of Physiological Explorations Raymond Poincaré Hospital, 104 Bld Raymond Poincaré, 92380 Garches, France
| | - Guillaume Nicolas
- APHP, Department of Neurology, Raymond Poincaré Hospital, North-East-Ile-de-France Neuromuscular Pathology Reference Center, U 1179 INSERM, University Saint Quentin en Yvelines Versailles; Paris-Saclay, France
| | - Pascal Laforet
- APHP, Department of Neurology, Raymond Poincaré Hospital, North-East-Ile-de-France Neuromuscular Pathology Reference Center, U 1179 INSERM, University Saint Quentin en Yvelines Versailles; Paris-Saclay, France
| | - Edoardo Malfatti
- APHP, Department of Neurology, Raymond Poincaré Hospital, North-East-Ile-de-France Neuromuscular Pathology Reference Center, U 1179 INSERM, University Saint Quentin en Yvelines Versailles; Paris-Saclay, France
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26
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Davalos L, Janecek J, Fudym Y, McKeever P, Callaghan BC. Clinical Reasoning: A 59-Year-Old Man With Progressive Proximal Weakness Since Childhood. Neurology 2021; 97:958-963. [PMID: 34261780 DOI: 10.1212/wnl.0000000000012488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Long Davalos
- Department of Neurology, Neuromuscular Division, University of Michigan, Ann Arbor, MI
| | - Jacqueline Janecek
- Department of Neurology, Neuromuscular Division, University of Michigan, Ann Arbor, MI
| | - Yelena Fudym
- Department of Pathology, University of Michigan, Ann Arbor, MI
| | - Paul McKeever
- Department of Pathology, University of Michigan, Ann Arbor, MI
| | - Brian C Callaghan
- Department of Neurology, Neuromuscular Division, University of Michigan, Ann Arbor, MI
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27
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Nicolau S, Milone M, Liewluck T. Guidelines for genetic testing of muscle and neuromuscular junction disorders. Muscle Nerve 2021; 64:255-269. [PMID: 34133031 DOI: 10.1002/mus.27337] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 05/28/2021] [Indexed: 12/24/2022]
Abstract
Despite recent advances in the understanding of inherited muscle and neuromuscular junction diseases, as well as the advent of a wide range of genetic tests, patients continue to face delays in diagnosis of sometimes treatable disorders. These guidelines outline an approach to genetic testing in such disorders. Initially, a patient's phenotype is evaluated to identify myopathies requiring directed testing, including myotonic dystrophies, facioscapulohumeral muscular dystrophy, oculopharyngeal muscular dystrophy, mitochondrial myopathies, dystrophinopathies, and oculopharyngodistal myopathy. Initial investigation in the remaining patients is generally a comprehensive gene panel by next-generation sequencing. Broad panels have a higher diagnostic yield and can be cost-effective. Due to extensive phenotypic overlap and treatment implications, genes responsible for congenital myasthenic syndromes should be included when evaluating myopathy patients. For patients whose initial genetic testing is negative or inconclusive, phenotypic re-evaluation is warranted, along with consideration of genes and variants not included initially, as well as their acquired mimickers.
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Affiliation(s)
- Stefan Nicolau
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Teerin Liewluck
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
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28
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Guo MH, Bardakjian TM, Brzozowski MR, Scherer SS, Quinn C, Elman L, Orthmann-Murphy J, Tropea TF, Ellis CA, Gonzalez-Alegre P. Temporal trends and yield of clinical diagnostic genetic testing in adult neurology. Am J Med Genet A 2021; 185:2922-2928. [PMID: 34075706 DOI: 10.1002/ajmg.a.62372] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 03/24/2021] [Accepted: 05/16/2021] [Indexed: 12/29/2022]
Abstract
While genetics evaluation is increasingly utilized in adult neurology patients, its usage and efficacy are not well characterized. Here, we report our experience with 1461 consecutive patients evaluated in an adult neurogenetics clinic at a large academic medical center between January 2015 and March 2020. Of the 1461 patients evaluated, 1215 patients were referred for the purposes of identifying a genetic diagnosis for an undiagnosed condition, 90.5% of whom underwent genetic testing. The modalities of genetic testing utilized varied across referral diagnostic categories, including a range of utilization of whole exome sequencing (WES) as an initial test in 13.9% of neuromuscular patients to 52.9% in white matter disorder patients. The usage of WES increased over time, from 7.7% of initial testing in 2015 to a peak of 27.3% in 2019. Overall, genetic testing yielded a causal genetic diagnosis in 30.7% of patients. This yield was higher in certain referring diagnosis categories, such as neuromuscular (39.0%) and epilepsy (29.8%). Our study demonstrates that evaluation at an adult neurogenetics referral center can yield diagnoses in a substantial fraction of patients. Additional research will be needed to determine optimal genetic testing strategies and cost effectiveness of adult neurogenetics evaluation.
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Affiliation(s)
- Michael H Guo
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Tanya M Bardakjian
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Morgan R Brzozowski
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Steven S Scherer
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Colin Quinn
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lauren Elman
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jennifer Orthmann-Murphy
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Thomas F Tropea
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Colin A Ellis
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Pedro Gonzalez-Alegre
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Bowen BM, Truty R, Aradhya S, Bristow SL, Johnson BA, Morales A, Tan CA, Westbrook MJ, Winder TL, Chavez JC. SMA Identified: Clinical and Molecular Findings From a Sponsored Testing Program for Spinal Muscular Atrophy in More Than 2,000 Individuals. Front Neurol 2021; 12:663911. [PMID: 34025568 PMCID: PMC8134668 DOI: 10.3389/fneur.2021.663911] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 04/09/2021] [Indexed: 12/31/2022] Open
Abstract
Background: Spinal muscular atrophy (SMA) linked to chromosome 5q is an inherited progressive neuromuscular disorder with a narrow therapeutic window for optimal treatment. Although genetic testing provides a definitive molecular diagnosis that can facilitate access to effective treatments, limited awareness and other barriers may prohibit widespread testing. In this study, the clinical and molecular findings of SMA Identified—a no-charge sponsored next-generation sequencing (NGS)-based genetic testing program for SMA diagnosis—are reported. Methods: Between March 2018 and March 2020, unrelated individuals who had a confirmed or suspected SMA diagnosis or had a family history of SMA were eligible. All individuals underwent diagnostic genetic testing for SMA at clinician discretion. In total, 2,459 individuals were tested and included in this analysis. An NGS-based approach interrogated sequence and copy number of SMN1 and SMN2. Variants were confirmed by multiplex ligation-dependent probe amplification sequencing. Individuals were categorized according to genetic test results: diagnostic (two pathogenic SMN1 variants), nearly diagnostic (SMN1 exon-7 deletion with a variant of uncertain significance [VUS] in SMN1 or SMN2), indeterminate VUS (one VUS in SMN1 or SMN2), carrier (heterozygous SMN1 deletion only), or negative (no pathogenic variants or VUS in SMN1 or SMN2). Diagnostic yield was calculated. Genetic test results were analyzed based on clinician-reported clinical features and genetic modifiers (SMN2 copy number and SMN2 c.859G>C). Results: In total, 2,459 unrelated individuals (mean age 24.3 ± 23.0 years) underwent diagnostic testing. The diagnostic yield for diagnostic plus nearly diagnostic results was 31.3% (n = 771/2,459). Age of onset and clinical presentation varied considerably for individuals and was dependent on SMN2 copy number. Homozygous deletions represented the most common genetic etiology (96.2%), with sequence variants also observed in probands with clinical diagnoses of SMA. Conclusions: Using a high-yield panel test in a no-charge sponsored program early in the diagnostic odyssey may open the door for medical interventions in a substantial number of individuals with SMA. These findings have potential implications for clinical management of probands and their families.
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Irumudomon OT, Ghosh PS. Electromyography in infants: experience from a pediatric neuromuscular center. Acta Neurol Belg 2021; 122:1195-1200. [PMID: 33891285 DOI: 10.1007/s13760-021-01681-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 04/13/2021] [Indexed: 11/28/2022]
Abstract
Electromyography plays a pivotal role in diagnosing neuromuscular disorders. The purpose of this study was to investigate the role of electromyography in infants. We performed a retrospective study of the infants who underwent electromyography from 2003 to 2017 and recorded demographic profile, indication, electrodiagnostic findings, and final diagnosis from the follow-up data. 179 studies were completed; electromyography was abnormal in 109 (60.9%) patients. The most common referral indication was hypotonia followed by birth trauma related injuries and rule out neuromuscular disorders. The most common electrodiagnostic diagnosis was localized to muscles followed by plexus and motor neurons. Among the patients with normal electromyography, the most common diagnosis was due to myopathies. Electromyography plays an important role in the workup of neuromuscular disorders in infants though with increased utilization of genetic testing we observed a declining trend in the number of electromyography performed in the latter half the study.
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Affiliation(s)
| | - Partha S Ghosh
- Department of Neurology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA, 02115, USA.
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31
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Abstract
Background: Myoclonus-Dystonia (M-D) is a pleiotropic neuropsychiatric disorder of variable penetrance. Pathogenic variants in SGCE, a maternally imprinted gene, are the most frequent known genetic cause of M-D. The population prevalence of SGCE-linked M-D is unknown, the pathogenicity of SGCE variants identified in patients with M-D may be indeterminant, and SGCE variants predicted to be deleterious by in silico analysis may appear in patients undergoing whole-exome or whole-genome sequencing for seemingly unrelated disorders. The Genome Aggregation Database (gnomAD) v2 provides variant data on 125,748 exomes and 15,708 genomes from unrelated individuals sequenced as part of various disease-specific and population genetic studies. Methods: SGCE variants included in the gnomAD v2 dataset were analyzed with Combined Annotation Dependent Depletion (CADD), and database for nonsynonymous single nucleotide polymorphisms’ functional predictions (dbNSFP). We determined the frequency of annotated SGCE variants, ranked by scores of deleteriousness, within the gnomAD v2 dataset. Deleteriousness scores were compared to a subset of published disease associated SGCE pathogenic variants. Results: Within gnomAD v2, there were 56, 408, and 1250 alleles harboring SGCE variants with CADD scores greater than 30, 25, and 20, respectively. We estimate that approximately 1/348 individuals in the United States population harbors an SGCE variant with a CADD score ≥ 25. Discussion: SGCE M-D may be underdiagnosed due to pleiotropy, mild phenotypes, variable penetrance, and impaired access to genetic testing. Due to the high population prevalence of deleterious SGCE variants, caution should be used when asserting pathogenicity without co-segregation analyses and expert neurological examination of phenotypes within pedigrees. Highlights In silico analyses of a large population database of genetic variants revealed that over 0.2% of individuals in the United States harbor a highly deleterious SGCE variant. This finding suggests that M-D and minor phenotypic variants such as mild isolated myoclonus may be underdiagnosed.
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Caldas VM, Heise CO, Kouyoumdjian JA, Zambon AA, Silva AMS, Estephan EDP, Zanoteli E. Electrophysiological study of neuromuscular junction in congenital myasthenic syndromes, congenital myopathies, and chronic progressive external ophthalmoplegia. Neuromuscul Disord 2020; 30:897-903. [PMID: 33121830 DOI: 10.1016/j.nmd.2020.10.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/05/2020] [Accepted: 10/07/2020] [Indexed: 11/19/2022]
Abstract
This study was designed to analyze the sensitivity, specificity, and accuracy of jitter parameters combined with repetitive nerve stimulation (RNS) in congenital myasthenic syndrome (CMS), chronic progressive external ophthalmoplegia (CPEO), and congenital myopathies (CM). Jitter was obtained with a concentric needle electrode during voluntary activation of the Orbicularis Oculi muscle in CMS (n = 21), CPEO (n = 20), and CM (n = 18) patients and in controls (n = 14). RNS (3 Hz) was performed in six different muscles for all patients (Abductor Digiti Minimi, Tibialis Anterior, upper Trapezius, Deltoideus, Orbicularis Oculi, and Nasalis). RNS was abnormal in 90.5% of CMS patients and in only one CM patient. Jitter was abnormal in 95.2% of CMS, 20% of CPEO, and 11.1% of CM patients. No patient with CPEO or CM presented a mean jitter higher than 53.6 µs or more than 30% abnormal individual jitter (> 45 µs). No patient with CPEO or CM and mild abnormal jitter values presented an abnormal decrement. Jitter and RNS assessment are valuable tools for diagnosing neuromuscular transmission abnormalities in CMS patients. A mean jitter value above 53.6 µs or the presence of more than 30% abnormal individual jitter (> 45 µs) strongly suggests CMS compared with CPEO and CM.
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Affiliation(s)
- Vitor Marques Caldas
- Department of Neurology, Faculdade de Medicina da Universidade de São Paulo (FMUSP), Av. Dr. Enéas Carvalho Aguiar 255, 05403-900 São Paulo SP, Brazil
| | - Carlos Otto Heise
- Department of Neurology, Faculdade de Medicina da Universidade de São Paulo (FMUSP), Av. Dr. Enéas Carvalho Aguiar 255, 05403-900 São Paulo SP, Brazil
| | - João Aris Kouyoumdjian
- Laboratório de Investigação Neuromuscular, Faculdade Estadual de Medicina de São Jose do Rio Preto (FAMERP), São Jose do Rio Preto, SP, Brazil
| | - Antônio Alberto Zambon
- Department of Neurology, Faculdade de Medicina da Universidade de São Paulo (FMUSP), Av. Dr. Enéas Carvalho Aguiar 255, 05403-900 São Paulo SP, Brazil
| | - André Macedo Serafim Silva
- Department of Neurology, Faculdade de Medicina da Universidade de São Paulo (FMUSP), Av. Dr. Enéas Carvalho Aguiar 255, 05403-900 São Paulo SP, Brazil
| | - Eduardo de Paula Estephan
- Department of Neurology, Faculdade de Medicina da Universidade de São Paulo (FMUSP), Av. Dr. Enéas Carvalho Aguiar 255, 05403-900 São Paulo SP, Brazil; Department of Medicine, Faculdade Santa Marcelina, São Paulo, Brazil
| | - Edmar Zanoteli
- Department of Neurology, Faculdade de Medicina da Universidade de São Paulo (FMUSP), Av. Dr. Enéas Carvalho Aguiar 255, 05403-900 São Paulo SP, Brazil.
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Tan CA, Westbrook MJ, Truty R, Kvitek DJ, Kennemer M, Winder TL, Shieh PB. Incorporating Spinal Muscular Atrophy Analysis by Next-Generation Sequencing into a Comprehensive Multigene Panel for Neuromuscular Disorders. Genet Test Mol Biomarkers 2020; 24:616-624. [PMID: 32721234 DOI: 10.1089/gtmb.2019.0282] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background: Spinal muscular atrophy (SMA) is traditionally molecularly diagnosed by multiplex ligation-dependent probe amplification or quantitative polymerase chain reaction (qPCR). SMA analyses are not routinely incorporated into gene panel analyses for individuals with suspected SMA or broader neuromuscular indications. Aim: We sought to determine whether a next-generation sequencing (NGS) approach that integrates SMA analyses into a multigene neuromuscular disorders panel could detect undiagnosed SMA. Materials and Methods: Sequence and copy number variants of the SMN1/SMN2 genes were simultaneously analyzed in samples from 5304 unselected individuals referred for testing using an NGS-based 122-gene neuromuscular panel. This diagnostic approach was validated using DNA from 68 individuals who had been previously diagnosed with SMA via quantitative PCR for SMN1/SMN2. Results: Homozygous loss of SMN1 was detected in 47 unselected individuals. Heterozygous loss of SMN1 was detected in 118 individuals; 8 had an indeterminate variant in "SMN1 or SMN2" that supported an SMA diagnosis but required additional disambiguation. Of the remaining SMA carriers, 44 had pathogenic variants in other genes. Concordance rates between NGS and qPCR were 100% and 93% for SMN1 and SMN2 copy numbers, respectively. Where there was disagreement, phenotypes were more consistent with the SMN2 results from NGS. Conclusion: Integrating NGS-based SMA testing into a multigene neuromuscular panel allows a single assay to diagnose SMA while comprehensively assessing the spectrum of variants that can occur in individuals with broad differential diagnoses or nonspecific/overlapping neuromuscular features.
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Affiliation(s)
| | | | | | | | | | | | - Perry B Shieh
- Department of Neurology, University of California, Los Angeles, Los Angeles, California, USA
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