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Clinical and genetic characteristics of myotonia congenita in Chinese population

Authors :
Yuting He
Yusen Qiu
Ying Xiong
Yu Shen
Kaiyan Jiang
Hancun Yi
Pengcheng Huang
Yu Zhu
Min Zhu
Meihong Zhou
Daojun Hong
Dandan Tan
Source :
Channels, Vol 18, Iss 1 (2024)
Publication Year :
2024
Publisher :
Taylor & Francis Group, 2024.

Abstract

ABSTRACTMyotonia congenita (MC) is a rare hereditary muscle disease caused by variants in the CLCN1 gene. Currently, the correlation of phenotype-genotype is still uncertain between dominant-type Thomsen (TMC) and recessive-type Becker (BMC). The clinical data and auxiliary examinations of MC patients in our clinic were retrospectively collected. Electromyography was performed in 11 patients and available family members. Whole exome sequencing was conducted in all patients. The clinical and laboratory data of Chinese MC patients reported from June 2004 to December 2022 were reviewed. A total of 11 MC patients were included in the study, with a mean onset age of 12.64 ± 2.73 years. The main symptom was muscle stiffness of limbs. Warm-up phenomenon and percussion myotonia were found in all patients. Electromyogram revealed significant myotonic charges in all patients and two asymptomatic carriers, while muscle MRI and biopsy showed normal or nonspecific changes. Fourteen genetic variants including 6 novel variants were found in CLCN1. Ninety-eight Chinese patients were re-analyzed and re-summarized in this study. There were no significant differences in the demographic data, clinical characteristics, and laboratory findings between 52 TMC and 46 BMC patients. Among the 145 variants in CLCN1, some variants, including the most common variant c.892 G>A, could cause TMC in some families and BMC in others. This study expanded the clinical and genetic spectrum of Chinese patients with MC. It was difficult to distinguish between TMC and BMC only based on the clinical, laboratory, and genetic characteristics.

Details

Language :
English
ISSN :
19336950 and 19336969
Volume :
18
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Channels
Publication Type :
Academic Journal
Accession number :
edsdoj.8d4bfe67e8434e0da195a528d7946fad
Document Type :
article
Full Text :
https://doi.org/10.1080/19336950.2024.2349823