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Sena LS, Lemes RB, Furtado GV, Saraiva-Pereira ML, Jardim LB. A model for the dynamics of expanded CAG repeat alleles: ATXN2 and ATXN3 as prototypes. Front Genet 2023; 14:1296614. [PMID: 38034492 PMCID: PMC10682950 DOI: 10.3389/fgene.2023.1296614] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 10/27/2023] [Indexed: 12/02/2023] Open
Abstract
Background: Spinocerebellar ataxia types 2 (SCA2) and 3 (SCA3/MJD) are diseases due to dominant unstable expansions of CAG repeats (CAGexp). Age of onset of symptoms (AO) correlates with the CAGexp length. Repeat instability leads to increases in the expanded repeats, to important AO anticipations and to the eventual extinction of lineages. Because of that, compensatory forces are expected to act on the maintenance of expanded alleles, but they are poorly understood. Objectives: we described the CAGexp dynamics, adapting a classical equation and aiming to estimate for how many generations will the descendants of a de novo expansion last. Methods: A mathematical model was adapted to encompass anticipation, fitness, and allelic segregation; and empirical data fed the model. The arbitrated ancestral mutations included in the model had the lowest CAGexp and the highest AO described in the literature. One thousand generations were simulated until the alleles were eliminated, fixed, or 650 generations had passed. Results: All SCA2 lineages were eliminated in a median of 10 generations. In SCA3/MJD lineages, 593 were eliminated in a median of 29 generations. The other ones were eliminated due to anticipation after the 650th generation or remained indefinitely with CAG repeats transitioning between expanded and unexpanded ranges. Discussion: the model predicted outcomes compatible with empirical data - the very old ancestral SCA3/MJD haplotype, and the de novo SCA2 expansions -, which previously seemed to be contradictory. This model accommodates these data into understandable dynamics and might be useful for other CAGexp disorders.
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Affiliation(s)
- Lucas Schenatto Sena
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Centros de Pesquisa Clínica e Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | | | - Gabriel Vasata Furtado
- Centros de Pesquisa Clínica e Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Maria Luiza Saraiva-Pereira
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Centros de Pesquisa Clínica e Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Serviço de Genética Médica, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Departamento de Bioquímica, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Laura Bannach Jardim
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Centros de Pesquisa Clínica e Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Serviço de Genética Médica, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Departamento de Medicina Interna, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Sharma P, Sonakar AK, Tyagi N, Suroliya V, Kumar M, Kutum R, Asokchandran V, Ambawat S, Shamim U, Anand A, Ahmad I, Shakya S, Uppili B, Mathur A, Parveen S, Jain S, Singh J, Seth M, Zahra S, Joshi A, Goel D, Sahni S, Kamai A, Wadhwa S, Murali A, Saifi S, Chowdhury D, Pandey S, Anand KS, Narasimhan RL, Laskar S, Kushwaha S, Kumar M, Shaji CV, Srivastava MVP, Srivastava AK, Faruq M. Genetics of Ataxias in Indian Population: A Collative Insight from a Common Genetic Screening Tool. ADVANCED GENETICS (HOBOKEN, N.J.) 2022; 3:2100078. [PMID: 36618024 PMCID: PMC9744545 DOI: 10.1002/ggn2.202100078] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Indexed: 01/11/2023]
Abstract
Cerebellar ataxias (CAs) represent a group of autosomal dominant and recessive neurodegenerative disorders affecting cerebellum with or without spinal cord. Overall, CAs have preponderance for tandem nucleotide repeat expansions as an etiological factor (10 TREs explain nearly 30-40% of ataxia cohort globally). The experience of 10 years of common genetic ataxia subtypes for ≈5600 patients' referrals (Pan-India) received at a single center is shared herein. Frequencies (in %, n) of SCA types and FRDA in the sample cohort are observed as follows: SCA12 (8.6%, 490); SCA2 (8.5%, 482); SCA1 (4.8%, 272); SCA3 (2%, 113); SCA7 (0.5%, 28); SCA6 (0.1%, 05); SCA17 (0.1%, 05), and FRDA (2.2%, 127). A significant amount of variability in TRE lengths at each locus is observed, we noted presence of biallelic expansion, co-occurrence of SCA-subtypes, and the presence of premutable normal alleles. The frequency of mutated GAA-FRDA allele in healthy controls is 1/158 (0.63%), thus an expected FRDA prevalence of 1:100 000 persons. The data of this study are relevant not only for clinical decision making but also for guidance in direction of genetic investigations, transancestral comparison of genotypes, and lastly provide insight for policy decision for the consideration of SCAs under rare disease category.
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Affiliation(s)
- Pooja Sharma
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India,Academy for Scientific and Innovative ResearchGhaziabadUttar Pradesh201002India
| | | | - Nishu Tyagi
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India,Academy for Scientific and Innovative ResearchGhaziabadUttar Pradesh201002India
| | - Varun Suroliya
- Neurology DepartmentNeuroscience CentreNew Delhi110029India
| | - Manish Kumar
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India,Academy for Scientific and Innovative ResearchGhaziabadUttar Pradesh201002India
| | - Rintu Kutum
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India
| | - Vivekananda Asokchandran
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India,Academy for Scientific and Innovative ResearchGhaziabadUttar Pradesh201002India
| | - Sakshi Ambawat
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India
| | - Uzma Shamim
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India
| | - Avni Anand
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India
| | - Ishtaq Ahmad
- Neurology DepartmentNeuroscience CentreNew Delhi110029India
| | - Sunil Shakya
- Neurology DepartmentNeuroscience CentreNew Delhi110029India
| | - Bharathram Uppili
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India,Academy for Scientific and Innovative ResearchGhaziabadUttar Pradesh201002India
| | - Aradhana Mathur
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India
| | - Shaista Parveen
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India
| | - Shweta Jain
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India
| | - Jyotsna Singh
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India,Neurology DepartmentNeuroscience CentreNew Delhi110029India
| | - Malika Seth
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India
| | - Sana Zahra
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India,Academy for Scientific and Innovative ResearchGhaziabadUttar Pradesh201002India
| | - Aditi Joshi
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India
| | - Divya Goel
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India
| | - Shweta Sahni
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India
| | - Asangla Kamai
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India,Academy for Scientific and Innovative ResearchGhaziabadUttar Pradesh201002India
| | - Saruchi Wadhwa
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India,Academy for Scientific and Innovative ResearchGhaziabadUttar Pradesh201002India
| | - Aparna Murali
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India
| | - Sheeba Saifi
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India
| | | | - Sanjay Pandey
- Department of NeurologyGB Pant HospitalDelhi110002India
| | - Kuljeet Singh Anand
- Department of NeurologyPost Graduate Institute of Medical Education and ResearchDr. Ram Manohar Lohia HospitalNew Delhi110001India
| | | | | | - Suman Kushwaha
- Department of NeurologyInstitute of Human Behaviour and Allied SciencesDelhi110095India
| | | | | | | | | | - Mohammed Faruq
- Genomics and Molecular MedicineCSIR‐Institute of Genomics and Integrative Biology (CSIR‐IGIB)Mall RoadDelhi110007India,Academy for Scientific and Innovative ResearchGhaziabadUttar Pradesh201002India
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Velázquez-Pérez L, Rodríguez-Labrada R, Laffita-Mesa JM. Prodromal spinocerebellar ataxia type 2: Prospects for early interventions and ethical challenges. Mov Disord 2017; 32:708-718. [DOI: 10.1002/mds.26969] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Revised: 01/24/2017] [Accepted: 01/30/2017] [Indexed: 12/29/2022] Open
Affiliation(s)
| | | | - José Miguel Laffita-Mesa
- Centre for the Research and Rehabilitation of Hereditary Ataxias; Holguín Cuba
- Department of Clinical Neuroscience; Karolinska Universitetssjukhuset; Stockholm Sweden
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Cruz-Mariño T, Vázquez-Mojena Y, Velázquez-Pérez L, González-Zaldívar Y, Aguilera-Rodríguez R, Velázquez-Santos M, Estupiñán-Rodríguez A, Laffita-Mesa JM, Almaguer-Mederos LE, Paneque M. SCA2 predictive testing in Cuba: challenging concepts and protocol evolution. J Community Genet 2015; 6:265-73. [PMID: 25893506 DOI: 10.1007/s12687-015-0226-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2015] [Accepted: 04/08/2015] [Indexed: 12/14/2022] Open
Abstract
Spinocerebellar ataxia type 2 (SCA2) is a neurodegenerative disease caused by a CAG repeat expansion in the ATXN2 gene. Cuba has the highest prevalence (6.57 cases/10(5) inhabitants) of SCA2 in the world. The existence of 753 affected individuals and 7173 relatives at risk prompted the development in 2001 of the first predictive testing program in the country. The medical records of over 1193 individuals, who requested the test within a 13-year period, were analyzed retrospectively. The presymptomatic and the prenatal tests had uptake rates of 43.4 and 23.9 %, respectively. Several ethical challenges resulted from this program. These include the following: (1) withdrawal due to the initial protocol's length; (2) the request to participate by 16 at-risk adolescents; (3) the decision made by ten out of 33 couples with a test-positive fetus to carry the pregnancy to term, leading to de facto predictive testing of minors; (4) the elevated frequency of the ATXN2 gene large normal alleles (≥23 to 31 repeats) in the reference population. These issues have led to major changes in the guidelines of the predictive testing protocol: (1) the protocol length was shortened; (2) the inclusion criteria were expanded to reach at-risk adolescents with an interest in prenatal diagnosis; (3) interdisciplinary follow-up was offered to families in which test-positive fetuses were not aborted; (4) prenatal testing was made available to carriers of large normal alleles with ≥27 CAG repeats. The profiles of the participants were similar to those reported for other predictive testing programs for conditions like Huntington disease and familial adenomatous polyposis. The genetic counseling practices at the community level, the ample health education provided to the at-risk population, together with multidisciplinary and specialized attention to the affected families, are lessons from the Cuban experience that can be relevant for other international teams conducting predictive testing for other late-onset neurodegenerative disorders.
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Affiliation(s)
- Tania Cruz-Mariño
- Predictive Genetics Department, Center for the Research and Rehabilitation of Hereditary Ataxias, Holguín, Cuba,
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