Literature DB >> 31139960

Mutation pattern in 606 Duchenne muscular dystrophy children with a comparison between familial and non-familial forms: a study in an Indian large single-center cohort.

Kiran Polavarapu1,2, Veeramani Preethish-Kumar1,2, Deepha Sekar3, Seena Vengalil1, Saraswati Nashi1, Niranjan P Mahajan1, Priya Treesa Thomas4, Arun Sadasivan4, Manjusha Warrier4, Anupam Gupta5, Gautham Arunachal6, Monojit Debnath6, Muddasu Suhasini Keerthipriya1, Chevula Pradeep-Chandra-Reddy1, Arpitha Puttegowda7, Anu P John7, Ajitha Tavvala7, Swetha Gunasekaran6, Talakad N Sathyaprabha7, Sadanandavalli Retnaswami Chandra1, Boris Kramer8, Tammo Delhaas9, Atchayaram Nalini10.   

Abstract

INTRODUCTION: Duchenne muscular dystrophy (DMD) is induced by a wide spectrum of mutations such as exon deletions, duplications and small mutations in the dystrophin gene. This is the first study on the mutational spectrum in a cohort of DMD children from India, with an emphasis to compare the mutations in familial and sporadic forms.
RESULTS: Multiplex ligation-dependent probe amplification (MLPA) and next-generation sequencing (NGS) identified 525 and 70 cases of DMD, respectively, while 11 cases showed absent dystrophin staining with no mutations detected. Families with two or more affected males contributed to 12% of the entire cohort. The mutations comprised of exonic deletions in 492/606 (81.2%), duplications in 33/606 (5.4%) and small mutations (point mutations and INDELs) in 70/606 (11.5%) cases. MLPA identified significantly more larger mutations in sporadic (88.2%) than in familial cases (75.3%). The mutations in NGS were: [nonsense = 40 (57.1%); frameshift = 17 (24.3%); splice variant = 12 (17.1%)]. Nonsense mutations were more common in familial than in sporadic cases: 17.8% vs 10.7%. The familial group reported an earlier onset of disease (2.8 ± 1.7 years) as compared to sporadic cases (3.8 ± 1.6 years).
CONCLUSION: MLPA could identify mutations in a high percentage of our DMD children. The preponderance of small mutations was noted to be distinctly higher in the familial group. Intriguingly, the familial form of DMD formed a small percentage of the entire cohort. The reasons could be increasing awareness among parents and physicians with early identification of DMD cases, genetic counseling and prenatal testing.

Entities:  

Keywords:  Duchenne muscular dystrophy; Familial; India; Mutation

Mesh:

Year:  2019        PMID: 31139960     DOI: 10.1007/s00415-019-09380-3

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  4 in total

1.  Repurposing Pathogenic Variants of DMD Gene and its Isoforms for DMD Exon Skipping Intervention.

Authors:  Rahul Tyagi; Sumit Kumar; Ashwin Dalal; Faruq Mohammed; Manju Mohanty; Paramvir Kaur; Akshay Anand
Journal:  Curr Genomics       Date:  2019-11       Impact factor: 2.236

2.  Molecular Diagnosis of Muscular Dystrophy Patients in Western Indian Population: A Comprehensive Mutation Analysis Using Amplicon Sequencing.

Authors:  Komal M Patel; Arpan D Bhatt; Krati Shah; Bhargav N Waghela; Ramesh J Pandit; Harsh Sheth; Chaitanya G Joshi; Madhvi N Joshi
Journal:  Front Genet       Date:  2021-12-03       Impact factor: 4.599

3.  Genetic Profile of the Dystrophin Gene Reveals New Mutations in Colombian Patients Affected with Muscular Dystrophinopathy.

Authors:  Paula Triana-Fonseca; Juan Fernando Parada-Márquez; Claudia T Silva-Aldana; Daniela Zambrano-Arenas; Laura Lucia Arias-Gomez; Natalia Morales-Fonseca; Esteban Medina-Méndez; Carlos M Restrepo; Daniel Felipe Silgado-Guzmán; Dora Janeth Fonseca-Mendoza
Journal:  Appl Clin Genet       Date:  2021-10-01

4.  The Genetic Landscape of Dystrophin Mutations in Italy: A Nationwide Study.

Authors:  Marcella Neri; Rachele Rossi; Cecilia Trabanelli; Antonio Mauro; Rita Selvatici; Maria Sofia Falzarano; Noemi Spedicato; Alice Margutti; Paola Rimessi; Fernanda Fortunato; Marina Fabris; Francesca Gualandi; Giacomo Comi; Silvana Tedeschi; Manuela Seia; Chiara Fiorillo; Monica Traverso; Claudio Bruno; Emiliano Giardina; Maria Rosaria Piemontese; Giuseppe Merla; Milena Cau; Monica Marica; Carmela Scuderi; Eugenia Borgione; Alessandra Tessa; Guia Astrea; Filippo Maria Santorelli; Luciano Merlini; Marina Mora; Pia Bernasconi; Sara Gibertini; Valeria Sansone; Tiziana Mongini; Angela Berardinelli; Antonella Pini; Rocco Liguori; Massimiliano Filosto; Sonia Messina; Gianluca Vita; Antonio Toscano; Giuseppe Vita; Marika Pane; Serenella Servidei; Elena Pegoraro; Luca Bello; Lorena Travaglini; Enrico Bertini; Adele D'Amico; Manuela Ergoli; Luisa Politano; Annalaura Torella; Vincenzo Nigro; Eugenio Mercuri; Alessandra Ferlini
Journal:  Front Genet       Date:  2020-03-03       Impact factor: 4.599

  4 in total

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