JOURNAL ARTICLE

Genotypic and phenotypic features of 39 Chinese patients with glycogen storage diseases type I, VI, and IX.

  • Published In: Clinical Genetics, 2024, v. 106, n. 3. P. 267 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Yu, Jindan; Ling, Xiuxin; Chen, Lingli; Fang, Youhong; Lin, Haihua; Lou, Jingan; Ren, Yanqi; Chen, Jie 3 of 3

Abstract

Glycogen storage diseases (GSDs) are abnormally inherited glycogen metabolism mainly affecting the liver, muscles, and heart. Deficiency of proteins involved in glycogen metabolism caused by genetic mutations are responsible for different subtype of GSDs. However, there are still some challenges in diagnosing GSD. This study includes 39 suspected GSDs patients from unrelated families in China. Next‐generation sequencing (NGS) was used to investigate the reason for their diseases at the genetic level. Finally, all 39 patients were diagnosed with GSDs, including 20 GSD‐Ia, 4 GSD‐VI, and 15 GSD IX (12 GSD‐IXa patients and 3 GSD‐IXb patients). Thirty‐two mutations in G6PC1, PYGL, PHKA2, and PHKB genes were identified, with 14 of them being novel variants. The pathogenicity of novel variants was classified according to ACMG guildlines and predicted by in slico algorithms. Mutations p.L216L and p.R83H in G6PC1 gene may be the hot spot mutation in Chinese. Hearing impairment is a rare clinical feature of GSD Ia, which has also been observed in our cohort. The severity of GSD VI and IX was indicated by our patients. Close follow‐up should be applied to GSD VI and IX patients. Our findings provided evidence for building the phenotype–genotype of GSDs and expanded the mutation spectrum of related genes. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Clinical Genetics. 2024/09, Vol. 106, Issue 3, p267
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:0009-9163
  • DOI:10.1111/cge.14530
  • Accession Number:178945680
  • Copyright Statement:Copyright of Clinical Genetics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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