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Zhang Y, Wallace B, Cai B, Johnson N, Ciafaloni E, Venkatesh YS, Westfield C, McDermott S. Latent factors underlying the symptoms of adult-onset myotonic dystrophy type 1 during the clinical course. Orphanet J Rare Dis 2024; 19:409. [PMID: 39487453 PMCID: PMC11529289 DOI: 10.1186/s13023-024-03359-8] [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: 01/10/2024] [Accepted: 09/11/2024] [Indexed: 11/04/2024] Open
Abstract
BACKGROUND Myotonic dystrophy type 1 (DM1) is a multisystem genetic disorder that classically presents with symptoms associated with myotonia, early onset cataracts, and muscular weakness, although the presentation and pattern of disease progression is quite varied. Presenting symptoms are well documented among adults with DM1. However, less is known about the co-occurrence of symptoms over time. We aimed to use factor analysis to explore the correlation pattern of signs and symptoms (S/S) that emerged during the clinical course. RESULTS Clinical records of 228 individuals with adult onset DM1 were abstracted using the Muscular Dystrophy Surveillance, Tracking, and Research Network (MD STARnet) from a six-site cohort in the United States during an eight-year study period. Factor analysis was used to group the correlated S/S into latent factors. Three factors were identified. Group 1: 'Facial Weakness/Myotonia' includes the two most common S/S, as indicated by its name. Group 2: 'Skeletal Muscle Weakness' includes eight muscular S/S and is more frequently reported by males and those with older age at onset. Group 3: 'Gastrointestinal distress/Sleepiness' includes four non-muscular S/S and hand stiffness. The abstracted medical records reported that over 63% of individuals had S/S from all three groups. Associations of covariates with factor scores were also examined using linear regression. CTG repeat length was significantly positively associated with higher factor scores for all three factors. CONCLUSIONS This study identified three latent factors of S/S which accumulated during the clinical course of adult onset DM1.
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Grants
- DD001126, DD001119, DD001123, DD001116, DD001117, DD001108, DD001120, DD001054, DD001244, DD001242, DD001250, 5U01DD001245 Centers for Disease Control and Prevention Foundation
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Affiliation(s)
- Yanan Zhang
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Bailey Wallace
- Division of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Oak Ridge Institute for Science and Education, Atlanta, GA, USA
| | - Bo Cai
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Nicholas Johnson
- Department of Neurology, Virginia Commonwealth University, Richmond, VA, USA
| | - Emma Ciafaloni
- Department of Neurology, University of Rochester, Rochester, NY, USA
| | - Yedatore Swamy Venkatesh
- Department of Neurology, School of Medicine Columbia, University of South Carolina, Columbia, SC, USA
| | | | - Suzanne McDermott
- Department of Environmental, Occupational, Geospatial Health Sciences, Graduate School of Public Health and Health Policy, City University of New York, New York, NY, USA.
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Chawla T, Reddy N, Jankar R, Vengalil S, Polavarapu K, Arunachal G, Preethish-Kumar V, Nashi S, Bardhan M, Rajeshwaran J, Afsar M, Warrier M, Thomas PT, Thennarasu K, Nalini A. Myotonic Dystrophy Type 1 (DM1): Clinical Characteristics and Disease Progression in a Large Cohort. Neurol India 2024; 72:83-89. [PMID: 38443007 DOI: 10.4103/neuroindia.ni_1432_20] [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: 09/13/2020] [Accepted: 10/25/2021] [Indexed: 03/07/2024]
Abstract
BACKGROUND DM1 is a multisystem disorder caused by expansion of a CTG triplet repeat in the 3' non-coding region of DMPK. Neuropsychological consequences and sleep abnormalities are important associations in DM1. OBJECTIVE To describe the clinical phenotype, disease progression and characterize the sleep alterations and cognitive abnormalities in a sub-set of patients. MATERIALS AND METHODS A retrospective study on 120 genetically confirmed DM1 cases. Findings in neuropsychological assessment and multiple sleep questionnaires were compared with 14 age and sex matched healthy individuals. All 120 patients were contacted through letters/telephonic consultation/hospital visits to record their latest physical and functional disabilities. RESULTS The mean age at symptom onset was 23.1 ± 11.4 years, M: F = 3.8:1, mean duration of illness = 14.3 ± 9.5 years. Clinically 54.2% had adult onset form, juvenile = 27.5%, infantile = 10.8%, late adult onset = 7.5%. Paternal transmission occurred more frequently. The predominant initial symptoms were myotonia (37.5%), hand weakness (21.7%), lower limb weakness (23.3%) and bulbar (10%). Twenty patients completed sleep questionnaires (SQ). Abnormal scores were noted in Epworth sleepiness scale (55%); Pittsburgh sleep quality index (45%); Berlin SQ (30%); Rapid eye movement sleep Behaviour Disorder SQ (15%); Restless leg syndrome rating scale (10%). Neuropsychological assessment of 20 patients revealed frontal executive dysfunction, attention impairment and visuospatial dysfunction. Frontal lobe was most affected (72%) followed by parietal (16%) and temporal lobe (12%). CONCLUSIONS The current study provides a comprehensive account of the clinical characteristics in Indian patients with DM1. Hypersomnolence was most commonly seen. Excessive daytime sleepiness and Sleep disordered breathing were the most common sleep related abnormality. Cognitive impairment comprised predominantly of frontal lobe dysfunction.
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Affiliation(s)
- Tanushree Chawla
- Department of Neurology, Children's Hospital of Eastern Ontario Research Institute, The Ottawa Hospital, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Nishanth Reddy
- Department of Neurology, Children's Hospital of Eastern Ontario Research Institute, The Ottawa Hospital, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Rahul Jankar
- Department of Neurology, Children's Hospital of Eastern Ontario Research Institute, The Ottawa Hospital, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Seena Vengalil
- Department of Neurology, Children's Hospital of Eastern Ontario Research Institute, The Ottawa Hospital, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Kiran Polavarapu
- Department of Neurology, Children's Hospital of Eastern Ontario Research Institute, The Ottawa Hospital, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
- Department of Division of Neurology, Department of Medicine, Children's Hospital of Eastern Ontario Research Institute, The Ottawa Hospital, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Gautham Arunachal
- Department of Human Genetics, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Veeramani Preethish-Kumar
- Department of Neurology, Children's Hospital of Eastern Ontario Research Institute, The Ottawa Hospital, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Saraswati Nashi
- Department of Neurology, Children's Hospital of Eastern Ontario Research Institute, The Ottawa Hospital, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Mainak Bardhan
- Department of Neurology, Children's Hospital of Eastern Ontario Research Institute, The Ottawa Hospital, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
- Department of Division of Bacteriology, ICMR-National Institute of Cholera and Enteric Diseases, Kolkata, India
| | - Jamuna Rajeshwaran
- Department of Clinical Psychology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Mohammad Afsar
- Department of Clinical Psychology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Manjusha Warrier
- Department of Psychiatric Social Work, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Priya T Thomas
- Department of Psychiatric Social Work, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Kandavel Thennarasu
- Department of Biostatistics, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Atchayaram Nalini
- Department of Neurology, Children's Hospital of Eastern Ontario Research Institute, The Ottawa Hospital, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
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Liao Q, Zhang Y, He J, Huang K. Global prevalence of myotonic dystrophy: an updated systematic review and meta-analysis. Neuroepidemiology 2022; 56:163-173. [PMID: 35483324 DOI: 10.1159/000524734] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 04/19/2022] [Indexed: 01/31/2023] Open
Abstract
INTRODUCTION Myotonic dystrophy (DM), the most common muscular dystrophy in adults, is a group of autosomal inherited neuromuscular disorders characterized by progressive muscle weakness, myotonia and cardiac conduction abnormalities. Due to the different gene mutations, DM has been subclassified into myotonic dystrophy type 1 (DM1) and type 2 (DM2). However, the prevalence studies on DM and its subtypes are insufficient. METHODS The PubMed (1966-2022), MEDLINE (1950-2022), Web of Science (1864-2022) and Cochrane Library (2022) databases were searched for original research articles published in English. The quality of the included studies was assessed by a checklist adapted from STrengthening the Reporting of OBservational studies in Epidemiology (STROBE). To derive the pooled epidemiological prevalence estimates, a meta-analysis was performed using the random effects model. Heterogeneity was assessed using the Cochrane Q statistic and the I2 statistic. RESULTS A total of 17 studies were included in the systematic review and meta-analysis. Of the 17 studies evaluated, 14 studies were considered medium quality, two studies were considered high quality and one study was considered low quality. The global prevalence of DM varied widely from 0.37 to 36.29 cases per 100,000. The pooled estimate of the prevalence of DM was 9.99 cases (95% CI: 5.62-15.53) per 100,000. The pooled estimate of the prevalence of DM1 was 9.27 cases (95% CI: 4.73-15.21) per 100,000, ranging from 0.37-36.29 cases per 100,000. The pooled estimate of the prevalence of DM2 was 2.29 cases (95% CI: 0.17-6.53) per 100,000, ranging from 0.00-24.00 cases per 100,000. CONCLUSION Our study provided accurate estimates of the prevalence of myotonic dystrophy. The high heterogeneity and the lack of high-quality studies highlight the need to conduct higher quality studies on orphan diseases.
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Affiliation(s)
- Qiao Liao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yihao Zhang
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jian He
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Kun Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Institute of Molecular Precision Medicine and Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, China
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Theadom A, Rodrigues M, Poke G, O'Grady G, Love D, Hammond-Tooke G, Parmar P, Baker R, Feigin V, Jones K, Te Ao B, Ranta A, Roxburgh R. A Nationwide, Population-Based Prevalence Study of Genetic Muscle Disorders. Neuroepidemiology 2019; 52:128-135. [PMID: 30661069 DOI: 10.1159/000494115] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Accepted: 09/26/2018] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Previous epidemiological studies of genetic muscle disorders have relied on medical records to identify cases and may be at risk of selection biases or have focused on selective population groups. OBJECTIVES This study aimed to determine age-standardised prevalence of genetic muscle disorders through a nationwide, epidemiological study across the lifespan using the capture-recapture method. METHODS Adults and children with a confirmed clinical or molecular diagnosis of a genetic muscle disorder, resident in New Zealand on April 1, 2015 were identified using multiple overlapping sources. Genetic muscle disorders included the muscular dystrophies, congenital myopathies, ion channel myopathies, GNE myopathy, and Pompe disease. Prevalence per 100,000 persons by age, sex, disorder, ethnicity and geographical region with 95% CIs was calculated using Poisson distribution. Direct standardisation was applied to age-standardise prevalence to the world population. Completeness of case ascertainment was determined using capture-recapture modelling. RESULTS Age standardised minimal point prevalence of all genetic muscle disorders was 22.3 per 100,000 (95% CI 19.5-25.6). Prevalence in Europeans of 24.4 per 100,000, (95% CI 21.1-28.3) was twice that observed in NZ's other 3 main ethnic groups; Māori (12.6 per 100,000, 95% CI 7.8-20.5), Pasifika (11.0 per 100,000, 95% CI 5.4-23.3), and Asian (9.13 per 100,000, 95% CI 5.0-17.8). Crude prevalence of myotonic dystrophy was 3 times higher in Europeans (10.5 per 100,000, 9.4-11.8) than Māori and Pasifika (2.5 per 100,000, 95% CI 1.5-4.2 and 0.7 per 100,000, 95% CI 0.1-2.7 respectively). There were considerable regional variations in prevalence, although there was no significant association with social deprivation. The final capture-recapture model, with the least deviance, estimated the study ascertained 99.2% of diagnosed cases. CONCLUSIONS Ethnic and regional differences in the prevalence of genetic muscle disorders need to be considered in service delivery planning, evaluation, and decision making.
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Affiliation(s)
- Alice Theadom
- National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Studies, Auckland University of Technology, Auckland, New Zealand,
| | - Miriam Rodrigues
- Muscular Dystrophy Association of New Zealand, Auckland, New Zealand.,Department of Neurology, Auckland City Hospital, Auckland, New Zealand
| | - Gemma Poke
- Genetic Health Service NZ, Capital and Coast District Health Board, Wellington, New Zealand
| | - Gina O'Grady
- Paediatric Neuroservices, Starship Children's Health, Auckland District Health Board, Auckland, New Zealand
| | - Donald Love
- Diagnostic Genetics, LabPLUS, Auckland City Hospital, Auckland, New Zealand
| | - Graeme Hammond-Tooke
- Department of Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Priya Parmar
- Department of Biostatistics and Epidemiology, Faculty of Health and Environmental Studies, Auckland University of Technology, Auckland, New Zealand
| | - Ronelle Baker
- Muscular Dystrophy Association of New Zealand, Auckland, New Zealand
| | - Valery Feigin
- National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Studies, Auckland University of Technology, Auckland, New Zealand
| | - Kelly Jones
- National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Studies, Auckland University of Technology, Auckland, New Zealand
| | - Braden Te Ao
- Population Health, Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Anna Ranta
- Department of Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Richard Roxburgh
- Department of Neurology, Auckland City Hospital, Auckland, New Zealand
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6
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Kay C, Hayden MR, Leavitt BR. Epidemiology of Huntington disease. HANDBOOK OF CLINICAL NEUROLOGY 2017; 144:31-46. [DOI: 10.1016/b978-0-12-801893-4.00003-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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7
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Akinyemi RO, Owolabi MO, Oyeniyi T, Ovbiagele B, Arnett DK, Tiwari HK, Walker R, Ogunniyi A, Kalaria RN. Neurogenomics in Africa: Perspectives, progress, possibilities and priorities. J Neurol Sci 2016; 366:213-223. [PMID: 27288810 DOI: 10.1016/j.jns.2016.05.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2016] [Accepted: 05/04/2016] [Indexed: 11/18/2022]
Abstract
The understanding of the genetic basis of neurological disorders has grown rapidly in the last two decades. Despite the genomic heterogeneity within African populations, large-scale candidate gene or linkage and exome studies are lacking. However, current knowledge on neurogenetics in African populations is limited and geographically very uneven. Isolated reports indicate the existence of autosomal dominant or recessive conditions incorporating cerebrovascular, movement, neuromuscular, seizure and motor neuron disorders in Africans. In addition, few African families with neurodegenerative disorders associated with dementia have been characterized in North, West and South Africa. The current insurgency in genomic research triggered by among others the Human Health and Heredity (H3) Africa Initiative indicates that there are unique opportunities to advance our knowledge and understanding of the influence of genomic variation on the pattern, presentations and prognosis of neurological disorders in Africa. These have enormous potential to unmask novel genes and molecular pathways germane to the neurobiology of brain disorders. It would facilitate the development of novel diagnostics, preventative and targeted treatments in the new paradigm of precision medicine. Nevertheless, it is crucial to strike a balance between effective traditional public health strategies and personalized genome based care. The translational barriers can be overcome through robust stakeholder engagement and sustainable multilevel, multigenerational and multidisciplinary capacity building and infrastructural development for genomic medicine in Africa.
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Affiliation(s)
- Rufus O Akinyemi
- Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Nigeria; Institute of Neuroscience, Newcastle University, UK.
| | - Mayowa O Owolabi
- Department of Medicine, College of Medicine, University of Ibadan, Nigeria
| | | | - Bruce Ovbiagele
- Department of Neurosciences, Medical University of South Carolina, USA
| | - Donna K Arnett
- School of Public Health, University of Alabama at Birmingham, USA
| | - Hemant K Tiwari
- School of Public Health, University of Alabama at Birmingham, USA
| | - Richard Walker
- Institute of Health and Society, Newcastle University, UK
| | - Adesola Ogunniyi
- Department of Medicine, College of Medicine, University of Ibadan, Nigeria
| | - Raj N Kalaria
- Institute of Neuroscience, Newcastle University, UK.
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Krause A, Mitchell C, Essop F, Tager S, Temlett J, Stevanin G, Ross C, Rudnicki D, Margolis R. Junctophilin 3 (JPH3) expansion mutations causing Huntington disease like 2 (HDL2) are common in South African patients with African ancestry and a Huntington disease phenotype. Am J Med Genet B Neuropsychiatr Genet 2015; 168:573-85. [PMID: 26079385 PMCID: PMC4565761 DOI: 10.1002/ajmg.b.32332] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Accepted: 05/28/2015] [Indexed: 12/12/2022]
Abstract
Huntington disease (HD) is a progressive autosomal dominant neurodegenerative disorder, characterized by abnormal movements, cognitive decline, and psychiatric symptoms, caused by a CAG repeat expansion in the huntingtin (HTT) gene on chromosome 4p. A CAG/CTG repeat expansion in the junctophilin-3 (JPH3) gene on chromosome 16q24.2 causes a Huntington disease-like phenotype (HDL2). All patients to date with HDL2 have some African ancestry. The present study aimed to characterize the genetic basis of the Huntington disease phenotype in South Africans and to investigate the possible origin of the JPH3 mutation. In a sample of unrelated South African individuals referred for diagnostic HD testing, 62% (106/171) of white patients compared to only 36% (47/130) of black patients had an expansion in HTT. However, 15% (20/130) of black South African patients and no white patients (0/171) had an expansion in JPH3, confirming the diagnosis of Huntington disease like 2 (HDL2). Individuals with HDL2 share many clinical features with individuals with HD and are clinically indistinguishable in many cases, although the average age of onset and diagnosis in HDL2 is 5 years later than HD and individual clinical features may be more prominent. HDL2 mutations contribute significantly to the HD phenotype in South Africans with African ancestry. JPH3 haplotype studies in 31 families, mainly from South Africa and North America, provide evidence for a founder mutation and support a common African origin for all HDL2 patients. Molecular testing in individuals with an HD phenotype and African ancestry should include testing routinely for JPH3 mutations.
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Affiliation(s)
- Amanda Krause
- Division of Human Genetics, National Health Laboratory Service, Johannesburg, South Africa
- Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Claire Mitchell
- Division of Human Genetics, National Health Laboratory Service, Johannesburg, South Africa
| | - Fahmida Essop
- Division of Human Genetics, National Health Laboratory Service, Johannesburg, South Africa
- Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Susan Tager
- Department of Neurology, University of the Witwatersrand, Johannesburg, South Africa
- Donald Gordon Medical Centre, Johannesburg, South Africa
| | - James Temlett
- Department of Neurology, University of the Witwatersrand, Johannesburg, South Africa
- Department Clinical Neurology, University of Adelaide and the Royal Adelaide Hospital, Adelaide, Australia
| | - Giovanni Stevanin
- Sorbonne Universités, UPMC Univ Paris, Institut du Cerveau et de la Moelle épinière, Paris, France
- Ecole Pratique des Hautes Etudes, Paris, France
| | - Christopher Ross
- Johns Hopkins University School of Medicine, Departments of Psychiatry, Neurology, Neuroscience, and Pharmacology and Molecular Sciences and Program in Cellular and Molecular Medicine, Baltimore, Maryland
| | - Dobrila Rudnicki
- Johns Hopkins University School of Medicine, Departments of Psychiatry and Program in Cellular and Molecular Medicine, Baltimore, Maryland
| | - Russell Margolis
- Johns Hopkins University School of Medicine, Departments of Psychiatry and Neurology and Program in Cellular and Molecular Medicine, Baltimore, Maryland
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Kumaran D, Balagopal K, Tharmaraj RGA, Aaron S, George K, Muliyil J, Sivadasan A, Danda S, Alexander M, Hasan G. Genetic characterization of Spinocerebellar ataxia 1 in a South Indian cohort. BMC MEDICAL GENETICS 2014; 15:114. [PMID: 25344417 PMCID: PMC4411758 DOI: 10.1186/s12881-014-0114-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2014] [Accepted: 09/30/2014] [Indexed: 12/18/2022]
Abstract
Background Spinocerebellar ataxia type 1 (SCA1) is a late onset autosomal dominant cerebellar ataxia, caused by CAG triplet repeat expansion in the ATXN1 gene. The frequency of SCA1 occurrence is more in Southern India than in other regions as observed from hospital-based studies. However there are no reports on variability of CAG repeat expansion, phenotype-genotype association and founder mutations in a homogenous population from India. Methods Genomic DNA isolated from buccal mouthwash of the individuals in the cohort was used for PCR-based diagnosis of SCA1. Subsequently SNP’s found within the ATXN1 loci were identified by Taqman allelic discrimination assays. Significance testing of the genotype-phenotype associations was calculated by Kruskal-Wallis ANOVA test with post-hoc Dunnett’s test and Pearson’s correlation coefficient. Results By genetic analysis of an affected population in Southern India we identified 21 pre-symptomatic individuals including four that were well past the average age of disease onset of 44 years, 16 symptomatic and 63 normal individuals. All pre-symptomatic cases harbor “pure” expansions of greater than 40 CAGs. Genotyping to test for the presence of two previously identified SNPs showed a founder effect of the same repeat carrying allele as in the general Indian population. We show that SCA1 disease onset is significantly delayed when transmission of the disease is maternal. Conclusions Our finding of early disease onset in individuals with a paternally inherited allele could serve as valuable information for clinicians towards early detection of SCA1 in patients with affected fathers. Identification of older pre-symptomatic individuals (n = 4) in our cohort among individuals with a shared genetic and environmental background, suggests that second site genetic or epigenetic modifiers might significantly affect SCA1 disease progression. Moreover, such undetected SCA1 cases could underscore the true prevalence of SCA1 in India.
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Affiliation(s)
- Dhanya Kumaran
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka, India. .,Manipal University, Manipal, 576104, India.
| | - Krishnan Balagopal
- Department of Neurological Sciences, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
| | | | - Sanjith Aaron
- Department of Neurological Sciences, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
| | - Kuryan George
- Department of Community Health, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
| | - Jayaprakash Muliyil
- Department of Community Health, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
| | - Ajith Sivadasan
- Department of Neurological Sciences, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
| | - Sumita Danda
- Department of Clinical Genetics, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
| | - Mathew Alexander
- Department of Neurological Sciences, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
| | - Gaiti Hasan
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka, India.
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Udd B, Krahe R. The myotonic dystrophies: molecular, clinical, and therapeutic challenges. Lancet Neurol 2012; 11:891-905. [DOI: 10.1016/s1474-4422(12)70204-1] [Citation(s) in RCA: 335] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Acton RT, Rivers CA, Watson B, Oh SJ. DMPK-associated myotonic dystrophy and CTG repeats in Alabama African Americans. Clin Genet 2007; 72:448-53. [PMID: 17877752 DOI: 10.1111/j.1399-0004.2007.00883.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Myotonic dystrophy type 1 (DM1) is a result of a CTG expansion in the 3'-untranslated region of the DMPK gene. DM1 is rare among African blacks who have fewer large CTG repeats in the normal range than other racial/ethnic groups. Neither the prevalence of DM1 nor the relationship of CTG expansion to clinical status in African Americans (AAs) is well documented. We describe two AA brothers with DM1, each of whom had CTG repeats of 5/639; their father was reported to have DM1 and had CTG repeats of 5/60. Other family members had CTG repeats of 5-14. An unrelated AA patient from a second kinship also had DM1; an analysis revealed CTG repeats of 27/191. In 161 Alabama AA control subjects, we observed 18 CTG alleles from 5 to 28 repeats; the most common allele had five CTG repeats. The frequency of CTG repeats >or=15 were greater (p < 0.0003) in Pygmy, Amhara Ethiopian, Ashkenazi Jewish, North African Jewish, Israeli Muslim Arab, European white, and Japanese populations than in the Alabama AA population. These data suggest that the risk for DM1 in AAs is intermediate between that of African blacks and whites of European descent.
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Affiliation(s)
- R T Acton
- Department of Microbiology, University of Alabama, Birmingham, AL 35294-0005, USA.
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Chattopadhyay B, Basu P, Gangopadhyay PK, Mukherjee SC, Sinha KK, Chakraborty A, Roy T, Roychoudhury S, Majumder PP, Bhattacharyya NP. Variation of CAG repeats and two intragenic polymorphisms at SCA3 locus among Machado-Joseph disease/SCA3 patients and diverse normal populations from eastern India. Acta Neurol Scand 2003; 108:407-14. [PMID: 14616293 DOI: 10.1034/j.1600-0404.2003.00167.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVES MJD1/SCA3 is the most common type of spinocerebellar ataxia (SCA) worldwide. To explain the low prevalence of the disease among SCA patients from eastern India, we analysed CAG repeats and two bi-allelic intragenic markers at SCA3 locus among 412 normal individuals and 10 patients. MATERIALS AND METHODS For CAG repeat analysis, PCR amplified fragments were run on polyacrylamide gel, transferred to a membrane, probed with (CAG)10 and detected on an autoradiograph. Bi-allelic markers were analysed using allele specific PCR amplification. RESULTS Large normal alleles (>33 CAG repeats) were 0.015 in pooled populations. All the patients had the common haplotype C-A as observed worldwide. Frequency of C-A haplotype among large normal alleles was 0.75. CONCLUSIONS Observed low prevalence of SCA3 could be because of the low prevalence of large normal alleles that might act as the reservoir for the expanded alleles. SCA3 mutation in Indian populations had the same origin as found worldwide.
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Affiliation(s)
- B Chattopadhyay
- Crystallography and Molecular Biology Division, Saha Institute of Nuclear Physics, Kolkata, India
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Tishkoff SA, Goldman A, Calafell F, Speed WC, Deinard AS, Bonne-Tamir B, Kidd JR, Pakstis AJ, Jenkins T, Kidd KK. A global haplotype analysis of the myotonic dystrophy locus: implications for the evolution of modern humans and for the origin of myotonic dystrophy mutations. Am J Hum Genet 1998; 62:1389-402. [PMID: 9585589 PMCID: PMC1377140 DOI: 10.1086/301861] [Citation(s) in RCA: 120] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Haplotypes consisting of the (CTG)n repeat, as well as several flanking markers at the myotonic dystrophy (DM) locus, were analyzed in normal individuals from 25 human populations (5 African, 2 Middle Eastern, 3 European, 6 East Asian, 3 Pacific/Australo-Melanesian, and 6 Amerindian) and in five nonhuman primate species. Non-African populations have a subset of the haplotype diversity present in Africa, as well as a shared pattern of allelic association. (CTG)18-35 alleles (large normal) were observed only in northeastern African and non-African populations and exhibit strong linkage disequilibrium with three markers flanking the (CTG)n repeat. The pattern of haplotype diversity and linkage disequilibrium observed supports a recent African-origin model of modern human evolution and suggests that the original mutation event that gave rise to DM-causing alleles arose in a population ancestral to non-Africans prior to migration of modern humans out of Africa.
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Affiliation(s)
- S A Tishkoff
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520-8005, USA
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Richards RI, Crawford J, Narahara K, Mangelsdorf M, Friend K, Staples A, Denton M, Easteal S, Hori TA, Kondo I, Jenkins T, Goldman A, Panich V, Ferakova E, Sutherland GR. Dynamic mutation loci: allele distributions in different populations. Ann Hum Genet 1996; 60:391-400. [PMID: 8912792 DOI: 10.1111/j.1469-1809.1996.tb00437.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
To assess the relative contributions of trans-acting factors (replication and repair functions) and cis-acting elements (repeat and flanking DNA composition) to the mechanism of trinucleotide repeat sequence mutation we have analysed the distribution of copy number polymorphisms at 12 loci associated with dynamic mutations in 15 populations of different ethnic origins. Genome wide instability of repeats in a particular population would be evidence of trans-acting factor instigation of the mutation process, whereas instability at a particular locus (perhaps even in several populations) would be evidence that the composition of the particular locus was the most significant factor contributing to mutation. The FRA16A locus is highly polymorphic in only the European population. Some other loci exhibit distinct distributions of alleles between different populations. Therefore sequences in the vicinity of the repeat -- the cis component of a particular locus -- appear(s) to be more important in the mutation mechanism than sporadic genome-wide instability induced by trans-acting factors such as the DNA mismatch repair enzymes.
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Affiliation(s)
- R I Richards
- Department of Cytogenetics and Molecular Genetics, Women's and Children's Hospital, North Adelaide, Australia
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