Journal of Diabetes Investigation (Jan 2024)

Association of RPS26 gene polymorphism with different types of diabetes in Chinese individuals

  • Rong Song,
  • Lingxiang Xie,
  • Jin Ding,
  • Yan Chen,
  • Hailan Zou,
  • Haipeng Pang,
  • Yiman Peng,
  • Ying Xia,
  • Zhiguo Xie,
  • Xia Li,
  • Yang Xiao,
  • Zhiguang Zhou,
  • Jingyi Hu

DOI
https://doi.org/10.1111/jdi.14117
Journal volume & issue
Vol. 15, no. 1
pp. 34 – 43

Abstract

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Abstract Aims/Introduction Different types of diabetes show distinct genetic characteristics, but the specific genetic susceptibility factors remain unclear. Our study aimed to explore the associations between the ribosomal protein S26 (RPS26) gene rs1131017 polymorphisms and susceptibility to type 1 diabetes mellitus, latent autoimmune diabetes in adults (LADA) and type 2 diabetes mellitus in the Chinese Han population, and their correlations with clinical features. Materials and Methods Genotyping of the rs1131017 variant was carried out for 1,006 type 1 diabetes mellitus patients, 210 LADA patients, 642 type 2 diabetes mellitus patients and 2,099 control individuals. Results We found that the rs1131017 C allele was a risk locus for both type 1 diabetes mellitus and LADA (odds ratio [OR] 1.50, 95% confidence interval [CI] 1.33–1.69, P < 0.001; OR 1.31, 95% CI 1.04–1.64, P = 0.021, respectively). Nevertheless, this association was not found for type 2 diabetes mellitus. Carrying the C allele genotype was associated with a lower postprandial C‐peptide for type 1 diabetes mellitus (OR 1.41, 95% CI 1.11–1.80, P = 0.006) and lower fasting C‐peptide for LADA (OR 1.55, 95% CI 1.01–2.38, P = 0.047). Interestingly, a lower GC frequency was noted for LADA than for type 1 diabetes mellitus, regardless of classification based on age at diagnosis, C‐peptide or glutamic acid decarboxylase antibody positivity. Conclusions The RPS26 polymorphism was associated with susceptibility and clinical characteristics of type 1 diabetes mellitus and LADA in the Chinese population, but was not related to type 2 diabetes mellitus. Thus, it might serve as a novel biomarker for particular types of diabetes.

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