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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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2
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Kausthubham N, Shukla A, Gupta N, Bhavani GS, Kulshrestha S, Das Bhowmik A, Moirangthem A, Bijarnia-Mahay S, Kabra M, Puri RD, Mandal K, Verma IC, Bielas SL, Phadke SR, Dalal A, Girisha KM. A data set of variants derived from 1455 clinical and research exomes is efficient in variant prioritization for early-onset monogenic disorders in Indians. Hum Mutat 2021; 42:e15-e61. [PMID: 33502066 PMCID: PMC10052794 DOI: 10.1002/humu.24172] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 01/05/2021] [Accepted: 01/24/2021] [Indexed: 12/16/2022]
Abstract
Given the genomic uniqueness, a local data set is most desired for Indians, who are underrepresented in existing public databases. We hypothesize patients with rare monogenic disorders and their family members can provide a reliable source of common variants in the population. Exome sequencing (ES) data from families with rare Mendelian disorders was aggregated from five centers in India. The dataset was refined by excluding related individuals and removing the disease-causing variants (refined cohort). The efficiency of these data sets was assessed in a new set of 50 exomes against gnomAD and GenomeAsia. Our original cohort comprised 1455 individuals from 1203 families. The refined cohort had 836 unrelated individuals that retained 1,251,064 variants with 181,125 population-specific and 489,618 common variants. The allele frequencies from our cohort helped to define 97,609 rare variants in gnomAD and 44,520 rare variants in GenomeAsia as common variants in our population. Our variant dataset provided an additional 1.7% and 0.1% efficiency for prioritizing heterozygous and homozygous variants respectively for rare monogenic disorders. We observed additional 19 genes/human knockouts. We list carrier frequency for 142 recessive disorders. This is a large and useful resource of exonic variants for Indians. Despite limitations, datasets from patients are efficient tools for variant prioritization in a resource-limited setting.
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Affiliation(s)
- Neethukrishna Kausthubham
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Anju Shukla
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Neerja Gupta
- Division of Genetics, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Gandham S Bhavani
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Samarth Kulshrestha
- Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India
| | - Aneek Das Bhowmik
- Division of Diagnostics, Centre for DNA Fingerprinting and Diagnostics, Hyderabad, India.,ASPIRE (Diagnostics Facility), CSIR-Centre for Cellular & Molecular Biology, CCMB Annexe II, Hyderabad, India
| | - Amita Moirangthem
- Department of Medical Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Sunita Bijarnia-Mahay
- Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India
| | - Madhulika Kabra
- Division of Genetics, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Ratna D Puri
- Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India
| | - Kausik Mandal
- Department of Medical Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Ishwar C Verma
- Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India
| | - Stephanie L Bielas
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Shubha R Phadke
- Department of Medical Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Ashwin Dalal
- Division of Diagnostics, Centre for DNA Fingerprinting and Diagnostics, Hyderabad, India
| | - Katta M Girisha
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
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3
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Naruse H, Takahashi Y, Ishiura H, Matsukawa T, Mitsui J, Ichikawa Y, Hamada M, Shimizu J, Goto J, Toda T, Tsuji S. Prominent Spasticity and Hyperreflexia of the Legs in a Nepalese Patient with Friedreich Ataxia. Intern Med 2019; 58:2865-2869. [PMID: 31178521 PMCID: PMC6815894 DOI: 10.2169/internalmedicine.2953-19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 03/26/2019] [Indexed: 11/06/2022] Open
Abstract
Friedreich ataxia (FRDA) is an autosomal recessive spinocerebellar ataxia caused by mutations of FXN. Hypotonus and hyporeflexia of the lower extremities are observed in most FRDA patients. Patients with hyperreflexia, called Friedreich ataxia with retained reflexes (FARR), have also been identified. We herein report the case of a 16-year-old Nepalese boy presenting with early-onset ataxia with prominent spasticity and hyperreflexia of the legs. Mutational analyses established the diagnosis of FRDA presenting as FARR. A haplotype analysis revealed that expanded alleles of the patient shared a common haplotype with Indian and European FRDA patients, suggesting that the mutation descended from a common founder.
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Affiliation(s)
- Hiroya Naruse
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Japan
| | - Yuji Takahashi
- Department of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Japan
| | - Hiroyuki Ishiura
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Japan
| | - Takashi Matsukawa
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Japan
- Department of Molecular Neurology, Graduate School of Medicine, The University of Tokyo, Japan
| | - Jun Mitsui
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Japan
- Department of Molecular Neurology, Graduate School of Medicine, The University of Tokyo, Japan
| | - Yaeko Ichikawa
- Department of Neurology, Faculty of Medicine, Kyorin University, Japan
| | - Masashi Hamada
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Japan
| | - Jun Shimizu
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Japan
| | - Jun Goto
- Department of Neurology, International University of Health and Welfare Mita Hospital, Japan
| | - Tatsushi Toda
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Japan
| | - Shoji Tsuji
- Department of Molecular Neurology, Graduate School of Medicine, The University of Tokyo, Japan
- International University of Health and Welfare, Japan
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4
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Sivasubbu S, Scaria V. Genomics of rare genetic diseases-experiences from India. Hum Genomics 2019; 14:52. [PMID: 31554517 PMCID: PMC6760067 DOI: 10.1186/s40246-019-0215-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 06/26/2019] [Indexed: 12/15/2022] Open
Abstract
Home to a culturally heterogeneous population, India is also a melting pot of genetic diversity. The population architecture characterized by multiple endogamous groups with specific marriage patterns, including the widely prevalent practice of consanguinity, not only makes the Indian population distinct from rest of the world but also provides a unique advantage and niche to understand genetic diseases. Centuries of genetic isolation of population groups have amplified the founder effects, contributing to high prevalence of recessive alleles, which translates into genetic diseases, including rare genetic diseases in India.Rare genetic diseases are becoming a public health concern in India because a large population size of close to a billion people would essentially translate to a huge disease burden for even the rarest of the rare diseases. Genomics-based approaches have been demonstrated to accelerate the diagnosis of rare genetic diseases and reduce the socio-economic burden. The Genomics for Understanding Rare Diseases: India Alliance Network (GUaRDIAN) stands for providing genomic solutions for rare diseases in India. The consortium aims to establish a unique collaborative framework in health care planning, implementation, and delivery in the specific area of rare genetic diseases. It is a nation-wide collaborative research initiative catering to rare diseases across multiple cohorts, with over 240 clinician/scientist collaborators across 70 major medical/research centers. Within the GUaRDIAN framework, clinicians refer rare disease patients, generate whole genome or exome datasets followed by computational analysis of the data for identifying the causal pathogenic variations. The outcomes of GUaRDIAN are being translated as community services through a suitable platform providing low-cost diagnostic assays in India. In addition to GUaRDIAN, several genomic investigations for diseased and healthy population are being undertaken in the country to solve the rare disease dilemma.In summary, rare diseases contribute to a significant disease burden in India. Genomics-based solutions can enable accelerated diagnosis and management of rare diseases. We discuss how a collaborative research initiative such as GUaRDIAN can provide a nation-wide framework to cater to the rare disease community of India.
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Affiliation(s)
| | - Sridhar Sivasubbu
- CSIR Institute of Genomics and Integrative Biology, Delhi, 110025, India.
| | - Vinod Scaria
- CSIR Institute of Genomics and Integrative Biology, Delhi, 110025, India.
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5
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Kumari R, Kumar D, Brahmachari SK, Srivastava AK, Faruq M, Mukerji M. Paradigm for disease deconvolution in rare neurodegenerative disorders in Indian population: insights from studies in cerebellar ataxias. J Genet 2018. [DOI: 10.1007/s12041-018-0948-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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6
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Venkatesh SD, Kandasamy M, Moily NS, Vaidyanathan R, Kota LN, Adhikarla S, Yadav R, Pal PK, Jain S, Purushottam M. Genetic testing for clinically suspected spinocerebellar ataxias: report from a tertiary referral centre in India. J Genet 2018; 97:219-224. [PMID: 29666341 DOI: 10.1007/s12041-018-0911-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 07/27/2017] [Accepted: 08/03/2017] [Indexed: 01/24/2023]
Abstract
Spinocerebellar ataxias (SCAs) are a heterogeneous group of neurodegenerative syndromes, characterized by a wide range of muscular weakness and motor deficits, caused due to cerebellar degeneration. The prevalence of the syndromes of SCA varies across the world and is known to be linked to the instability of trinucleotide repeats within the high-end normal alleles, along with susceptible haplotype. We estimated sizes of the CAG or GAA repeat expansions at the SCA1, SCA2, SCA3, SCA12 and frataxin loci among 864 referrals of subjects to genetic counselling and testing (GCAT) clinic, National Institute of Mental Health and Neurosciences, Bengaluru, India, with suspected SCA. The most frequent mutations detected were SCA1 (n = 100 (11.6%)) and SCA2 (n = 98 (11.3%)) followed by SCA3 (n = 40 (4.6%)), FRDA (n = 20 (2.3%)) and SCA12 (n = 8 (0.9%)).
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Affiliation(s)
- Sowmya Devatha Venkatesh
- Department of Psychiatry, Genetic Testing and Counselling Clinic, National Institute of Mental Health and Neurosciences, Bengaluru 560 029, India.
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Singh I, Swarup V, Shakya S, Goyal V, Faruq M, Srivastava AK. Single-step blood direct PCR: A robust and rapid method to diagnose triplet repeat disorders. J Neurol Sci 2017; 379:49-54. [DOI: 10.1016/j.jns.2017.05.042] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Revised: 05/16/2017] [Accepted: 05/21/2017] [Indexed: 12/15/2022]
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Wedding IM, Kroken M, Henriksen SP, Selmer KK, Fiskerstrand T, Knappskog PM, Berge T, Tallaksen CME. Friedreich ataxia in Norway - an epidemiological, molecular and clinical study. Orphanet J Rare Dis 2015; 10:108. [PMID: 26338206 PMCID: PMC4559212 DOI: 10.1186/s13023-015-0328-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Accepted: 08/25/2015] [Indexed: 01/06/2023] Open
Abstract
Background Friedreich ataxia is an autosomal recessive hereditary spinocerebellar disorder, characterized by progressive limb and gait ataxia due to proprioceptive loss, often complicated by cardiomyopathy, diabetes and skeletal deformities. Friedreich ataxia is the most common hereditary ataxia, with a reported prevalence of 1:20 000 – 1:50 000 in Central Europe. Previous reports from south Norway have found a prevalence varying from 1:100 000 – 1:1 350 000; no studies are previously done in the rest of the country. Methods In this cross-sectional study, Friedreich ataxia patients were identified through colleagues in neurological, pediatric and genetic departments, hospital archives searches, patients’ associations, and National Centre for Rare Disorders. All included patients, carriers and controls were investigated clinically and molecularly with genotype characterization including size determination of GAA repeat expansions and frataxin measurements. 1376 healthy blood donors were tested for GAA repeat expansion for carrier frequency analysis. Results Twenty-nine Friedreich ataxia patients were identified in Norway, of which 23 were ethnic Norwegian, corresponding to a prevalence of 1:176 000 and 1:191 000, respectively. The highest prevalence was seen in the north. Carrier frequency of 1:196 (95 % CI = [1:752–1:112]) was found. Homozygous GAA repeat expansions in the FXN gene were found in 27/29, while two patients were compound heterozygous with c.467 T < C, L157P and the deletion (g.120032_122808del) including exon 5a. Two additional patients were heterozygous for GAA repeat expansions only. Significant differences in the level of frataxin were found between the included patients (N = 27), carriers (N = 37) and controls (N = 27). Conclusions In this first thorough study of a complete national cohort of Friedreich ataxia patients, and first nation-wide study of Friedreich ataxia in Norway, the prevalence of Friedreich ataxia in Norway is lower than in Central Europe, but higher than in the last Norwegian report, and as expected from migration studies. A south–north prevalence gradient is present. Based on Hardy Weinberg’s equilibrium, the carrier frequency of 1:196 is consistent with the observed prevalence. All genotypes, and typical and atypical phenotypes were present in the Norwegian population. The patients were phenotypically similar to European cohorts. Frataxin was useful in the diagnostic work-up of heterozygous symptomatic cases. Electronic supplementary material The online version of this article (doi:10.1186/s13023-015-0328-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Iselin Marie Wedding
- Department of Neurology, Oslo University Hospital, Ullevaal, 0407, Oslo, Norway. .,University of Oslo, Faculty of Medicine, Oslo, Norway.
| | - Mette Kroken
- Department of Medical Genetics, Oslo University Hospital, Ullevaal, 0407, Oslo, Norway
| | | | - Kaja Kristine Selmer
- Department of Medical Genetics, Oslo University Hospital, Ullevaal, 0407, Oslo, Norway.,University of Oslo, Faculty of Medicine, Oslo, Norway
| | - Torunn Fiskerstrand
- Department of Clinical Science, University of Bergen, Bergen, Norway.,Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Per Morten Knappskog
- Department of Clinical Science, University of Bergen, Bergen, Norway.,Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Tone Berge
- Department of Neurology, Oslo University Hospital, Ullevaal, 0407, Oslo, Norway
| | - Chantal M E Tallaksen
- Department of Neurology, Oslo University Hospital, Ullevaal, 0407, Oslo, Norway.,University of Oslo, Faculty of Medicine, Oslo, Norway
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9
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Singh I, Faruq M, Padma MV, Goyal V, Behari M, Grover A, Mukerji M, Srivastava AK. Investigation of mitochondrial DNA variations among Indian Friedreich's ataxia (FRDA) patients. Mitochondrion 2015; 25:1-5. [PMID: 26321457 DOI: 10.1016/j.mito.2015.08.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2015] [Revised: 08/12/2015] [Accepted: 08/21/2015] [Indexed: 12/30/2022]
Abstract
OBJECTIVE The loss of function mutations (biallelic) in frataxin (FXN) has primarily been implicated in Friedreich's ataxia (FRDA), an autosomal recessive cerebellar ataxia. The protein product of FXN is a nuclear-encoded mitochondrial protein required for the biogenesis of iron- clusters (Fe-S). FRDA is characterized by neurological and non-neurological features which show variable expression in affected individuals. An inverse relationship has been demonstrated between GAA repeat size and age at onset and explains 50% variability of the age at onset. MtDNA variations and haplogroups could be one of the contributory factors to explain the remaining heterogeneity in FRDA, since mitochondrial oxidative stress is thought to be involved in the pathogenesis of FRDA. METHODS In our study, targeted resequencing of the D-loop and coding region of mitochondrial genes (ND1-6 and ATP) was conducted in 30 genetically confirmed FRDA patients and 62 ethnicity-matched unrelated healthy controls to identify the functionally important mtDNA variations and to trace the mitochondrial lineage of Indian FRDA patients. Cumulative mitochondrial SNP scores were computed for the identified variations in the functional region and haplogroups were determined by Haplogrep. RESULTS A significantly higher load of overall mitochondrial variations (with a trend toward the coding region) per individual was noted among FRDA cases rather than controls (p-value<0.03). A non-synonymous variation (p. L237M) in ND2 was over-represented among FRDA cases (p-value 0.04). This variation has a reported association with longevity and myocardial infarction. We also observed over-representation of H haplogroup (Caucasian mitochondrial haplogroup) among FRDA patients. We have not observed the influence of mitochondrial variations and haplogroup upon age at onset of FRDA. CONCLUSIONS Overall, our study identifies the functionally important variations and mitochondrial lineage of Indian FRDA cases and, that underscores the importance of studying the role of mitochondrial genome variations in FRDA.
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Affiliation(s)
- Inder Singh
- Department of Neurology, Neuroscience Centre, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
| | - Mohammed Faruq
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, Mall Road, New Delhi 110007, India.
| | - Madakasira Vasantha Padma
- Department of Neurology, Neuroscience Centre, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
| | - Vinay Goyal
- Department of Neurology, Neuroscience Centre, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
| | - Madhuri Behari
- Department of Neurology, Neuroscience Centre, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
| | - Ashoo Grover
- Indian Council of Medical Research, Ansari Nagar, New Delhi 110029, India
| | - Mitali Mukerji
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, Mall Road, New Delhi 110007, India
| | - Achal K Srivastava
- Department of Neurology, Neuroscience Centre, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
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10
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Molecular genetic analysis of trinucleotide repeat disorders (TRDs) in Indian population and application of repeat primed PCR. Eur J Med Genet 2014; 58:160-7. [PMID: 25534560 DOI: 10.1016/j.ejmg.2014.12.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Accepted: 12/04/2014] [Indexed: 11/22/2022]
Abstract
Trinucleotide repeat disorders (TRDs) are a set of genetic disorders caused by trinucleotide repeat expansion in certain genes that exceed the normal, stable threshold, which varies from gene to gene. A dynamic mutation in a healthy gene may increase the repeat count and result in a defective gene. At present there are 14 pathogenic trinucleotide repeat disorders that are known to affect humans. The occurrence of these "triplet repeat diseases" within populations ranges from fairly common (Fragile X syndrome and Myotonic dystrophy type 1) to rare (Dentatorubral-pallidoluysian atrophy). In the present study we report a detailed scenario of TRDs in India mostly in respect to the 9 most common disorders namely; Fragile X syndrome, Myotonic dystrophy type 1, Spinocerebellar ataxia (type 1, 2, 3, 6 and 7), Friedreich Ataxia and Huntington Disease.
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11
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Faruq M, Narang A, Kumari R, Pandey R, Garg A, Behari M, Dash D, Srivastava AK, Mukerji M. Novel mutations in typical and atypical genetic loci through exome sequencing in autosomal recessive cerebellar ataxia families. Clin Genet 2013; 86:335-41. [PMID: 24102492 DOI: 10.1111/cge.12279] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2013] [Revised: 09/11/2013] [Accepted: 09/12/2013] [Indexed: 12/19/2022]
Abstract
Nearly a thousand mutations mapping to 60 different loci have been identified in cerebellar ataxias. However, almost 50% of the cases remain genetically uncharacterized and there is a difference in prevalence as well as in the phenotypic spectrum of ataxia among various geographical regions. This poses a challenge for setting up a genetic panel for screening ataxia. In our ataxic cohort of 1014 families, 61% are genetically uncharacterized (UC). We investigated the potential of whole exome sequencing in conjunction with homozygosity mapping (HM) to delineate the genetic defects in three uncharacterized families with recessive inheritance each manifesting some unusual phenotype: (i) infantile onset ataxia with hearing loss (IOAH), (ii) Juvenile onset cerebellar ataxia with seizures (JCS) and (iii) Friedreich ataxia-like (FA-like). We identified a novel missense mutation in c10orf2 in the family with IOAH, compound heterozygous mutations in CLN6 in the family with JCS and a homozygous frame-shift mutation in SACS in the FA-like patient. Phenotypes observed in our families were concordant with reported phenotypes of known mutations in the same genes thus obviating the need for functional validation. Our study revealed novel variations in three genes, c10orf2, CLN6, and SACS, that have so far not been reported in India. This study also demonstrates the utility of whole exome screening in clinics for early diagnosis.
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Affiliation(s)
- M Faruq
- Genomics and Molecular Medicine, CSIR - Institute of Genomics and Integrative Biology, Delhi, India; Neurology Department, Neuroscience Centre, All India Institute of Medical Sciences, New Delhi, India
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Molecular Diagnosis of Friedreich Ataxia Using Analysis of GAA Repeats and FXN Gene Exons in Population from Western India. ACTA ACUST UNITED AC 2013. [DOI: 10.1155/2013/909767] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The diagnosis of Friedreich ataxia is based on the clinical symptoms and GAA repeats expansions. In our experience, checking FXN gene exons for mutations along with GAA repeat analysis may give better clue for its diagnosis. In the present study, total 49 suspected Friedreich ataxia patients were analyzed for GAA repeat expansion. Eleven patients have normal number of GAA repeats, thereby termed as FRDA negative patients. Thirty-eight patients showed no amplification using GAA repeat analysis. Since no conclusion was possible based on these results, these patients were designated as uninformative. We have analyzed 5 exons of the FXN gene in FRDA negative and uninformative patients to check for possible mutations. It was observed that there were no mutations found in any of FRDA negative and most uninformative patients. We further used long range PCR to check for deletion of exon 5a. It was found that 18 patients showed expression for exon 5a PCR but none in long range PCR. Five patients showed no expression for exon 5a PCR as well as long range PCR indicating that these 5 patients may be positive FRDA patients. These findings need to be correlated with clinical history of these patients for confirmation.
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