Literature DB >> 35416532

Clinical, genetic profile and disease progression of sarcoglycanopathies in a large cohort from India: high prevalence of SGCB c.544A > C.

Mainak Bardhan1,2, Ram Murthy Anjanappa1, Kiran Polavarapu1, Veeramani Preethish-Kumar1, Seena Vengalil1, Saraswati Nashi1, Shamita Sanga3, Hansashree Padmanabh1, Ravi Kiran Valasani1, Vikas Nishadham1, Muddasu Keerthipriya1, Thenral S Geetha4, Vedam Ramprasad4, Gautham Arunachal5, Priya Treesa Thomas6, Moulinath Acharya3, Atchayaram Nalini7.   

Abstract

The clinico-genetic architecture of sarcoglycanopathies in Indian patients is reported only as short series. In the present study, we aimed to investigate the clinical picture, genetic basis, and disease progression of patients genetically confirmed to have sarcoglycanopathy. Next-generation sequencing was performed in 68 probands with suspected sarcoglycanopathy. A total of 35 different variants were detected in the sarcoglycan genes in 68 probands (M = 37; age range, 5-50 years). Consanguinity was present in 44 families. Thirty-two variants are predicted to be pathogenic/likely pathogenic, among which 25 (78.13%) are reported, and 7 (21.87%) are novel. The clinical diagnosis was confirmed in a total of 64 (94.12%) probands with biallelic variations [SGCA(n=18); SGCB(n=34); SGCG(n=7); SGCD(n=5)]. The most common mutation was c.544A > C (p.Thr182Pro) in SGCB, and detected in 20 patients (29.42%). The majority of pathogenic mutations are homozygous (n = 30; 93.75%). Variants in 4 cases are of uncertain significance. Thirty-three patients lost ambulation at a mean age of 15.12 ± 9.47 years, after 7.76 ± 5.95 years into the illness. Only 2 patients had cardiac symptoms, and one had respiratory muscle involvement. The results from this study suggest that mutations in SGCB are most common, followed by SGCA, SGCG, and SGCD. The novel variations identified in this study expand the mutational spectrum of sarcoglycanopathies. To the best of our knowledge, this is the first study from India to describe a large cohort of genetically confirmed patients with sarcoglycanopathy and report its disease progression.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  LGMDR3; LGMDR4; LGMDR5; LGMDR6; Muscular dystrophy; Sarcoglycanopathy

Mesh:

Substances:

Year:  2022        PMID: 35416532     DOI: 10.1007/s10048-022-00690-9

Source DB:  PubMed          Journal:  Neurogenetics        ISSN: 1364-6745            Impact factor:   3.017


  5 in total

1.  Evidence for linkage disequilibrium in chromosome 13-linked Duchenne-like muscular dystrophy (LGMD2C)

Authors:  K Ben Othmane; M C Speer; J Stauffer; S Blel; L Middleton; C Ben Hamida; A Etribi; D Loeb; F Hentati; A D Roses
Journal:  Am J Hum Genet       Date:  1995-09       Impact factor: 11.025

2.  Sarcoglycanopathies: a clinicopathological study of 13 cases [corrected].

Authors:  M C Sharma; R Mannan; N G Singh; S Gulati; V Kalra; Chitra Sarkar
Journal:  Neurol India       Date:  2004-12       Impact factor: 2.117

3.  Multi-gene testing in neurological disorders showed an improved diagnostic yield: data from over 1000 Indian patients.

Authors:  Aparna Ganapathy; Avshesh Mishra; Megha Rani Soni; Priyanka Kumar; Mukunth Sadagopan; Anil Vittal Kanthi; Irene Rosetta Pia Patric; Sobha George; Aparajit Sridharan; T C Thyagarajan; S L Aswathy; H K Vidya; Swathi M Chinnappa; Swetha Nayanala; Manasa B Prakash; Vijayashree G Raghavendrachar; Minothi Parulekar; Vykuntaraju K Gowda; Sheela Nampoothiri; Ramshekhar N Menon; Divya Pachat; Vrajesh Udani; Neeta Naik; Mahesh Kamate; A Radha Rama Devi; P A Mohammed Kunju; Mohandas Nair; Anaita Udwadia Hegde; M Pradeep Kumar; Soumya Sundaram; Preetha Tilak; Ratna D Puri; Krati Shah; Jayesh Sheth; Qurratulain Hasan; Frenny Sheth; Pooja Agrawal; Shanmukh Katragadda; Vamsi Veeramachaneni; Vijay Chandru; Ramesh Hariharan; Ashraf U Mannan
Journal:  J Neurol       Date:  2019-05-08       Impact factor: 4.849

Review 4.  The limb-girdle muscular dystrophies.

Authors:  Matthew P Wicklund; John T Kissel
Journal:  Neurol Clin       Date:  2014-08       Impact factor: 3.806

5.  Post-zygotic Point Mutations Are an Underrecognized Source of De Novo Genomic Variation.

Authors:  Rocio Acuna-Hidalgo; Tan Bo; Michael P Kwint; Maartje van de Vorst; Michele Pinelli; Joris A Veltman; Alexander Hoischen; Lisenka E L M Vissers; Christian Gilissen
Journal:  Am J Hum Genet       Date:  2015-06-06       Impact factor: 11.025

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.