CYP2D6 polymorphism rs1065852 significantly increases the risk of type 2 diabetes.

Annals of medicine Pub Date : 2025-12-01 Epub Date: 2025-03-03 DOI:10.1080/07853890.2025.2470956
Huiyi Wei, Qingbin Zhao
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Abstract

Background: Genetic variations within the cytochrome P450 (CYP) gene family are significant determinants of type 2 diabetes mellitus (T2DM) susceptibility. This study aimed to investigate the association between CYP2C8 and CYP2D6 gene variants and the risk of T2DM.

Methods: We conducted a case-control study involving 512 individuals with T2DM and 515 controls. Genotyping of CYP2C8 and CYP2D6 polymorphisms was performed using the Agena MassARRAY system. Logistic regression analysis was employed to estimate the odds ratios (ORs) and 95% confidence intervals (CIs), thereby assessing the relationship between these genetic variants and T2DM risk. Additionally, multifactor dimensionality reduction (MDR) was utilized to assess the potential interaction effects of SNPs on T2DM risk.

Results: The study found a strong correlation between rs1065852 and increased risk of T2DM in overall (A vs. G: OR = 1.22, 95% CI: 1.03-1.45, p = .024; AA vs. GG: OR = 1.46, 95% CI: 1.04-2.06, p = .031; AA-AG vs. GG: OR = 1.36, 95% CI: 1.04-1.79, p = .026; additive: OR = 1.21, 95% CI: 1.02-1.44, p = .027), males and age < 59 subgroups. However, there is no significant association between the CYP2C8 polymorphisms (rs1934953, rs1934951, rs2275620 and rs17110453) and T2DM risk. MDR analysis results showed that the best model was the one locus model (rs1065852, testing accuracy = 0.534; OR = 1.39; 95% CI: 1.05-1.85; p = .023; CVC = 10/10), indicating that rs1065852 is an independent risk factor for T2DM.

Conclusions: This study suggests that rs1065852 (CYP2D6) is an independent risk factor for T2DM. Further research is warranted to validate these results and explore their clinical implications.

CYP2D6多态性rs1065852显著增加2型糖尿病风险。
背景:细胞色素P450 (CYP)基因家族的遗传变异是2型糖尿病(T2DM)易感性的重要决定因素。本研究旨在探讨CYP2C8和CYP2D6基因变异与T2DM风险的关系。方法:我们进行了一项病例对照研究,涉及512名T2DM患者和515名对照组。采用Agena MassARRAY系统对CYP2C8和CYP2D6多态性进行基因分型。采用Logistic回归分析估计优势比(ORs)和95%置信区间(CIs),从而评估这些遗传变异与T2DM风险之间的关系。此外,多因素降维(MDR)被用于评估snp对T2DM风险的潜在相互作用。结果:研究发现rs1065852与T2DM总体风险增加有很强的相关性(a vs. G: OR = 1.22, 95% CI: 1.03-1.45, p = 0.024;AA与GG: = 1.46, 95%置信区间CI: 1.04 - -2.06, p = .031;AA-AG vs GG: = 1.36, 95%置信区间CI: 1.04 - -1.79, p = .026;OR = 1.21, 95% CI: 1.02-1.44, p = 0.027),男性和年龄< 59岁的亚组。然而,CYP2C8多态性(rs1934953、rs1934951、rs2275620和rs17110453)与T2DM风险之间没有显著相关性。MDR分析结果表明,单位点模型最优(rs1065852),检测精度= 0.534;Or = 1.39;95% ci: 1.05-1.85;p = 0.023;CVC = 10/10),说明rs1065852是T2DM的独立危险因素。结论:本研究提示rs1065852 (CYP2D6)是T2DM的独立危险因素。需要进一步的研究来验证这些结果并探索其临床意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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