Variants of aminoacyl-tRNA synthetase genes in Charcot-Marie-Tooth disease: A Korean cohort study.
Da Eun NamJin Hee ParkCho Eun ParkNa Young JungSoo Hyun NamHye Mi KwonHyun Su KimSang Beom KimWon Seok SonByung-Ok ChoiKi Wha ChungPublished in: Journal of the peripheral nervous system : JPNS (2021)
Charcot-Marie-Tooth disease (CMT) and related diseases are a genetically and clinically heterogeneous group of peripheral neuropathies. Particularly, mutations in several aminoacyl-tRNA synthetase (ARS) genes have been reported to cause axonal CMT (CMT2) or distal hereditary motor neuropathy (dHMN). However, the common pathogenesis among CMT subtypes by different ARS gene defects is not well understood. This study was performed to investigate ARS gene mutations in a CMT cohort of 710 Korean families. Whole-exome sequencing was applied to 710 CMT patients who were negative for PMP22 duplication. We identified 12 disease-causing variants (from 13 families) in GARS1, AARS1, HARS1, WARS1, and YARS1 genes. Seven variants were determined to be novel. The frequency of overall ARS gene mutations was 1.22% among all independent patients diagnosed with CMT and 1.83% in patients negative for PMP22 duplication. WARS1 mutations have been reported to cause dHMN; however, in our patients with WARS1 variants, CMT was associated with sensory involvement. We analyzed genotype-phenotype correlations and expanded the phenotypic spectrum of patients with CMT possessing ARS gene variants. We also characterized clinical phenotypes according to ARS genes. This study will be useful for performing exact molecular and clinical diagnoses and providing reference data for other population studies.
Keyphrases
- copy number
- genome wide
- end stage renal disease
- genome wide identification
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- genome wide analysis
- dna methylation
- prognostic factors
- spinal cord injury
- patient reported outcomes
- bioinformatics analysis
- transcription factor
- artificial intelligence
- single molecule
- data analysis