Volume 28, Issue 3 pp. 992-1003
Original Article

Whole-exome analyses of congenital muscular dystrophy and congenital myopathy patients from India reveal a wide spectrum of known and novel mutations

Shamita Sanga

Shamita Sanga

National Institute of Biomedical Genomics, Kalyani, India

Contribution: Formal analysis (equal), ​Investigation (equal), Methodology (equal), Validation (equal), Visualization (equal), Writing - original draft (equal)

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Arnab Ghosh

Arnab Ghosh

National Institute of Biomedical Genomics, Kalyani, India

Contribution: Formal analysis (supporting), Methodology (equal), Software (equal), Writing - original draft (supporting)

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Krishna Kumar

Krishna Kumar

Structural Biology and Bioinformatics Division, Indian Institute of Chemical Biology, Kolkata, India

Contribution: Formal analysis (supporting), ​Investigation (supporting), Methodology (supporting), Writing - original draft (supporting)

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Kiran Polavarapu

Kiran Polavarapu

Department of Neurology, National Institute of Mental Health and Neuroscience, Bengaluru, India

Contribution: Data curation (equal), Formal analysis (supporting), ​Investigation (supporting), Validation (equal)

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Veeramani Preethish-Kumar

Veeramani Preethish-Kumar

Department of Neurology, National Institute of Mental Health and Neuroscience, Bengaluru, India

Contribution: Data curation (equal), Resources (equal)

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Seena Vengalil

Seena Vengalil

Department of Neurology, National Institute of Mental Health and Neuroscience, Bengaluru, India

Contribution: Data curation (supporting), Resources (supporting)

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Saraswati Nashi

Saraswati Nashi

Department of Neurology, National Institute of Mental Health and Neuroscience, Bengaluru, India

Contribution: Data curation (supporting), Resources (supporting)

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Mainak Bardhan

Mainak Bardhan

Department of Neurology, National Institute of Mental Health and Neuroscience, Bengaluru, India

Contribution: Data curation (equal), Resources (equal)

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Gautham Arunachal

Gautham Arunachal

Department of Human Genetics, National Institute of Mental Health and Neuroscience, Bengaluru, India

Contribution: Validation (supporting), Writing - original draft (supporting)

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Sanita Raju

Sanita Raju

Department of Neurology, National Institute of Mental Health and Neuroscience, Bengaluru, India

Contribution: Data curation (equal), Formal analysis (supporting)

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Narayanappa Gayathri

Narayanappa Gayathri

Department of Neuropathology, National Institute of Mental Health and Neuroscience, Bengaluru, India

Contribution: Data curation (supporting), Formal analysis (supporting), Resources (supporting)

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Nidhan K. Biswas

Nidhan K. Biswas

National Institute of Biomedical Genomics, Kalyani, India

Contribution: Formal analysis (equal), Methodology (equal), Software (equal), Supervision (equal), Validation (equal), Writing - review & editing (equal)

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Saikat Chakrabarti

Saikat Chakrabarti

Structural Biology and Bioinformatics Division, Indian Institute of Chemical Biology, Kolkata, India

Contribution: Formal analysis (equal), ​Investigation (equal), Methodology (equal), Supervision (equal), Writing - review & editing (equal)

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Atchayaram Nalini

Corresponding Author

Atchayaram Nalini

Department of Neurology, National Institute of Mental Health and Neuroscience, Bengaluru, India

Correspondence

Moulinath Acharya, National Institute of Biomedical Genomics, P.O: N.S.S, Kalyani, West Bengal 741251, India.

Sudipto Roy, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos #08-12B, Singapore City 138673, Singapore.

Atchayaram Nalini, National Institute of Mental Health and Neurosciences, Bengaluru, India.

Emails: [email protected] (M. A.); [email protected] (S. R.); [email protected] (A. N.)

Contribution: Conceptualization (equal), Supervision (equal), Validation (equal), Writing - review & editing (equal)

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Sudipto Roy

Corresponding Author

Sudipto Roy

Institute of Molecular and Cell Biology, Singapore City, Singapore

Department of Biological Sciences, National University of Singapore, Singapore City, Singapore

Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore

Correspondence

Moulinath Acharya, National Institute of Biomedical Genomics, P.O: N.S.S, Kalyani, West Bengal 741251, India.

Sudipto Roy, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos #08-12B, Singapore City 138673, Singapore.

Atchayaram Nalini, National Institute of Mental Health and Neurosciences, Bengaluru, India.

Emails: [email protected] (M. A.); [email protected] (S. R.); [email protected] (A. N.)

Contribution: Conceptualization (equal), Funding acquisition (lead), Supervision (equal), Writing - review & editing (equal)

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Moulinath Acharya

Corresponding Author

Moulinath Acharya

National Institute of Biomedical Genomics, Kalyani, India

Correspondence

Moulinath Acharya, National Institute of Biomedical Genomics, P.O: N.S.S, Kalyani, West Bengal 741251, India.

Sudipto Roy, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos #08-12B, Singapore City 138673, Singapore.

Atchayaram Nalini, National Institute of Mental Health and Neurosciences, Bengaluru, India.

Emails: [email protected] (M. A.); [email protected] (S. R.); [email protected] (A. N.)

Contribution: Conceptualization (equal), Supervision (equal), Writing - review & editing (equal)

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First published: 30 October 2020
Citations: 10

Abstract

Background and purpose

Congenital muscular dystrophies (CMDs) and congenital myopathies (CMs) are a group of genetically and clinically heterogeneous degenerative primary muscle disorders with onset at birth or during infancy. Due to vast heterogeneity, clinical examination and protein-based analyses often fail to identify the genetic causes of these diseases. The aim of this study was to genetically diagnose a cohort of 36 difficult-to-diagnose CMD and CM cases of Indian origin using next-generation sequencing methods.

Methods

Whole-exome sequencing (WES) was performed to identify pathogenic mutations in previously reported CMD and CM-related genes using variant calling and stringent variant filtration process. Subsequently, in silico homology modelling and molecular dynamics simulations (MDS) studies were undertaken for a number of novel and missense variants.

Results

A total of 33 and 21 rare and deleterious mutations were identified in 28 genes previously reported in CMD and CM based on OMIM, ClinVar and Orphanet, respectively. We could accurately diagnose 54% patients (n = 12/22) in the CMD group and 35% patients (n = 5/14) in the CM group. Furthermore, MDS studies for mutations located in LMNA, LAMA2 and RYR1 suggest that the wild-type proteins are more stable than their mutant counterparts, implying a potential mechanism of pathogenesis.

Conclusion

The WES findings led us to identify reported as well as novel variants for the first time in Indian patients with CMD and CM. This allowed us to achieve an accurate genetic diagnosis, which was difficult using conventional diagnostic tools. Transferring these WES findings to clinical practice will help guide clinical care of the affected patients and inform genetic counselling.

DISCLOSURE OF CONFLICTS OF INTEREST

The authors declare no financial or other conflicts of interest.

DATA AVAILABILITY STATEMENT

The FASTQ files have been uploaded to the European Nucleotide Archive and the accession number is PRJEB34933.

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