Abstract
Ataxias are one of the most frequent complaints in Neurogenetics units worldwide. Currently, more than 50 subtypes of spinocerebellar ataxias and more than 60 recessive ataxias are recognized. We conducted an 11-year prospective, observational, analytical study in order to estimate the frequency of pediatric and adult genetic ataxias in Argentina, to describe the phenotypes of this cohort and evaluate the diagnostic yield of the algorithm used in our unit. We included 334 ataxic patients. Our diagnostic approach was successful in one-third of the cohort. A final molecular diagnosis was reached in 113 subjects. This rate is significantly higher in the subgroup of patients with a positive family history, where the diagnostic yield increased to 55%. The most prevalent dominant and recessive ataxias in Argentina were SCA-2 (36% of dominant ataxias) and FA (62% of recessive ataxias), respectively. Next generation sequencing-based assays were diagnostic in the 65% of the patients requiring these tests. These results provide relevant epidemiological information, bringing a comprehensive knowledge of the most prevalent subtypes of genetic ataxias and their phenotypes in our territory and laying the groundwork for rationally implementing genetic diagnostic programs for these disorders in our country.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Jayadev S, Bird TD. Hereditary ataxias: overview. Genet Med. 2013;15:673–83.
Ruano L, Melo C, Silva MC, Coutinho P. The global epidemiology of hereditary ataxia and spastic paraplegia: a systematic review of prevalence studies. Neuroepidemiology. 2014;42:174–83.
Klockgether T, Paulson H. Milestones in ataxia. Mov Disord. 2011;26:1134–41.
Bird TD. Hereditary ataxia overview. In: Adam MP, Ardinger HH, Pagon RA, Wallace SE, Bean LJH, Stephens K, et al., editors. Seattle, WA: GeneReviews((R)); 1993.
Synofzik M, Nemeth AH. Recessive ataxias. Handb Clin Neurol. 2018;155:73–89.
Soong BW, Morrison PJ. Spinocerebellar ataxias. Handb Clin Neurol. 2018;155:143–74.
Rodriguez-Quiroga SA, Gonzalez-Moron D, Arakaki T, Garreto N, Kauffman MA. The broad phenotypic spectrum of SCA-3: hereditary spastic paraplegia. Medicina. 2013;73:552–4.
Cordoba M, Rodriguez-Quiroga S, Gatto EM, Alurralde A, Kauffman MA. Ataxia plus myoclonus in a 23-year-old patient due to STUB1 mutations. Neurology. 2014;83:287–8.
Perez Akly M, Alvarez F. Late onset Friedreich ataxia: clinical description of a family in Argentina. Medicina. 2013;73:457–60.
Rossi M, Cesarini M, Gatto EM, Cammarota A, Merello M. A treatable rare cause of progressive ataxia and palatal tremor. Tremor Other Hyperkinet Mov. 2018;8:538.
Teive HAG, Meira AT, Camargo CHF, Munhoz RP. The geographic diversity of spinocerebellar ataxias (SCAs) in the Americas: a systematic review. Mov Disord Clin Pract. 2019;6:531–40.
Rodriguez-Quiroga SA, Cordoba M, Gonzalez-Moron D, Medina N, Vega P, Dusefante CV, et al. Neurogenetics in Argentina: diagnostic yield in a personalized research based clinic. Genet Res. 2015;97:e10.
Schmitz-Hubsch T, du Montcel ST, Baliko L, Berciano J, Boesch S, Depondt C, et al. Scale for the assessment and rating of ataxia: development of a new clinical scale. Neurology. 2006;66:1717–20.
Burk K, Sival DA. Scales for the clinical evaluation of cerebellar disorders. Handb Clin Neurol. 2018;154:329–39.
Ciotti P, Di Maria E, Bellone E, Ajmar F, Mandich P. Triplet repeat primed PCR (TP PCR) in molecular diagnostic testing for Friedreich ataxia. J Mol Diagn. 2004;6:285–9.
Cohen L, Manin A, Medina N, Rodriguez-Quiroga S, Gonzalez-Moron D, Rosales J, et al. Argentinian clinical genomics in a leukodystrophies and genetic leukoencephalopathies cohort: diagnostic yield in our first 9 years. Ann Hum Genet. 2020;84:11–28.
Cordoba M, Rodriguez-Quiroga SA, Vega PA, Salinas V, Perez-Maturo J, Amartino H, et al. Whole exome sequencing in neurogenetic odysseys: an effective, cost- and time-saving diagnostic approach. PLoS ONE. 2018;13:e0191228.
Li H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv. 2013;1303.3997.
Van der Auwera GA, Carneiro MO, Hartl C, Poplin R, Del Angel G, Levy-Moonshine A, et al. From FastQ data to high confidence variant calls: the genome analysis toolkit best practices pipeline. Curr Protoc Bioinform. 2013;43:11.10.1–33.
Wang K, Li M, Hakonarson H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010;38:e164.
Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17:405–24.
Lee H, Deignan JL, Dorrani N, Strom SP, Kantarci S, Quintero-Rivera F, et al. Clinical exome sequencing for genetic identification of rare Mendelian disorders. JAMA. 2014;312:1880–7.
Need AC, Shashi V, Hitomi Y, Schoch K, Shianna KV, McDonald MT, et al. Clinical application of exome sequencing in undiagnosed genetic conditions. J Med Genet. 2012;49:353–61.
Shashi V, Schoch K, Spillmann R, Cope H, Tan QK, Walley N, et al. A comprehensive iterative approach is highly effective in diagnosing individuals who are exome negative. Genet Med. 2019;21:161–72.
Brusco A, Gellera C, Cagnoli C, Saluto A, Castucci A, Michielotto C, et al. Molecular genetics of hereditary spinocerebellar ataxia: mutation analysis of spinocerebellar ataxia genes and CAG/CTG repeat expansion detection in 225 Italian families. Arch Neurol. 2004;61:727–33.
Moseley ML, Benzow KA, Schut LJ, Bird TD, Gomez CM, Barkhaus PE, et al. Incidence of dominant spinocerebellar and Friedreich triplet repeats among 361 ataxia families. Neurology. 1998;51:1666–71.
Venkatesh SD, Kandasamy M, Moily NS, Vaidyanathan R, Kota LN, Adhikarla S, et al. Genetic testing for clinically suspected spinocerebellar ataxias: report from a tertiary referral centre in India. J Genet. 2018;97:219–24.
Durr A. Autosomal dominant cerebellar ataxias: polyglutamine expansions and beyond. Lancet Neurol. 2010;9:885–94.
Sequeiros J, Coutinho P. Epidemiology and clinical aspects of Machado-Joseph disease. Adv Neurol. 1993;61:139–53.
Sequeiros J, Martins S, Silveira I. Epidemiology and population genetics of degenerative ataxias. Handb Clin Neurol. 2012;103:227–51.
Teive HA, Munhoz RP, Arruda WO, Raskin S, Werneck LC, Ashizawa T. Spinocerebellar ataxia type 10—a review. Parkinsonism Relat Disord. 2011;17:655–61.
Zortea M, Armani M, Pastorello E, Nunez GF, Lombardi S, Tonello S, et al. Prevalence of inherited ataxias in the province of Padua, Italy. Neuroepidemiology. 2004;23:275–80.
Infante J, Combarros O, Volpini V, Corral J, Llorca J, Berciano J. Autosomal dominant cerebellar ataxias in Spain: molecular and clinical correlations, prevalence estimation and survival analysis. Acta Neurol Scand. 2005;111:391–9.
Palau F, Espinos C. Autosomal recessive cerebellar ataxias. Orphanet J Rare Dis. 2006;1:47.
Wallace SE, Bird TD. Molecular genetic testing for hereditary ataxia: what every neurologist should know. Neurol Clin Pract. 2018;8:27–32.
Rodriguez-Labrada R, Velazquez-Perez L, Auburger G, Ziemann U, Canales-Ochoa N, Medrano-Montero J, et al. Spinocerebellar ataxia type 2: measures of saccade changes improve power for clinical trials. Mov Disord. 2016;31:570–8.
Velazquez-Perez LC, Rodriguez-Labrada R, Fernandez-Ruiz J. Spinocerebellar ataxia type 2: clinicogenetic aspects, mechanistic insights, and management approaches. Front Neurol. 2017;8:472.
Burk K, Fetter M, Abele M, Laccone F, Brice A, Dichgans J, et al. Autosomal dominant cerebellar ataxia type I: oculomotor abnormalities in families with SCA1, SCA2, and SCA3. J Neurol. 1999;246:789–97.
Nemeth AH, Kwasniewska AC, Lise S, Parolin Schnekenberg R, Becker EB, Bera KD, et al. Next generation sequencing for molecular diagnosis of neurological disorders using ataxias as a model. Brain. 2013;136:3106–18.
Higashi M, Ozaki K, Hattori T, Ishii T, Soga K, Sato N, et al. A diagnostic decision tree for adult cerebellar ataxia based on pontine magnetic resonance imaging. J Neurol Sci. 2018;387:187–95.
De Michele G, Galatolo D, Barghigiani M, Dello Iacovo D, Trovato R, Tessa A, et al. Spinocerebellar ataxia type 48: last but not least. Neurol Sci. 2020. https://doi.org/10.1007/s10072-020-04408-3. [Epub ahead of print].
Acknowledgements
We thank the patients and families for their support and collaboration.
Funding
This study was funded by a grant from the Ministry of Science and Technology of Argentina.
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by LZ, JPM, and SRQ. The first draft of the paper was written by LZ and JPM and all authors commented on previous versions of the paper. All authors read and approved the final paper. LZ and JPM contributed equally and should be considered both first authors in this work, while SRQ, and MK contributed equally and should be considered both as the last authors.
Corresponding author
Ethics declarations
Conflict of interest
JPM and VS have received scholarship support from Argentinean National Science Council (CONICET). MK has received grant support from Ministry of Health of Buenos Aires City, Argentinean National Science Council (CONICET) and Argentinean Ministry of Science and Technology. He serves as Associate Editor of the journal Neurologia Argentina. The rest of the authors declare that they have no conflict of interest.
Ethics approval
This study was approved by the Institutional Ethics Committee of the Hospital J.M. Ramos Mejia of Buenos Aires, Argentina. All patients and parents provided written informed consent for genetic analyses and use of their anonymized data. All experiments and methods were carried out in accordance with the relevant guidelines and regulations of the Institutional Ethics Committee of the Hospital J.M. Ramos Mejia of Buenos Aires, Argentina. All clinical investigations have been conducted in accordance with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
Informed consent
Informed consent for genetic analyses and use of their anonymized data was obtained from all individual participants and/or parents included in the study. Patients signed informed consent regarding publishing their data.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
About this article
Cite this article
Perez Maturo, J., Zavala, L., Vega, P. et al. Overwhelming genetic heterogeneity and exhausting molecular diagnostic process in chronic and progressive ataxias: facing it up with an algorithm, a gene, a panel at a time. J Hum Genet 65, 895–902 (2020). https://doi.org/10.1038/s10038-020-0785-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s10038-020-0785-z
This article is cited by
-
Diagnostic Yield of NGS Tests for Hereditary Ataxia: a Systematic Review
The Cerebellum (2023)
-
Diagnostic Yield of Whole Exome Sequencing for Adults with Ataxia: a Brazilian Perspective
The Cerebellum (2022)