Chiang Chih-Wei, Chou Ying-Hsiang, Huang Chien-Ning, Lu Wen-Yu, Liaw Yung-Po
Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan.
College of Health Care and Management, Chung Shan Medical University, Taichung City, Taiwan.
J Diabetes Investig. 2025 Jan;16(1):36-42. doi: 10.1111/jdi.14359. Epub 2024 Nov 18.
This study investigates the gender-specific genetic influence of the single nucleotide polymorphism (SNP) rs1111875 on diabetes risk within the Taiwanese population using data from the Taiwan Biobank. Diabetes mellitus, particularly type 2 diabetes (T2D), is influenced by genetic factors, and the rs1111875 SNP near the hematopoietically expressed homeobox (HHEX) gene has been linked to T2D susceptibility.
The study included 69,272 participants after excluding those from arsenic-polluted areas and those with incomplete data. Logistic regression models were used for analyses.
The analyses revealed that the CT genotype of rs1111875 was associated with an increased risk of diabetes (OR = 1.092, 95% CI = 1.030-1.157, P = 0.003), as was the TT genotype (OR = 1.280, 95% CI = 1.165-1.407, P < 0.001). The effect was more pronounced in women (CT: OR = 1.118, 95% CI = 1.036-1.207, P = 0.004; TT: OR = 1.404, 95% CI = 1.243-1.585, P < 0.001). Men exhibited a higher overall risk of diabetes (OR = 1.565, 95% CI = 1.445-1.694, P < 0.001) and had a higher prevalence (12.71% vs 7.80%, P < 0.001) compared to women.
The findings underscore the importance of considering gender differences in genetic studies of diabetes and suggest that personalized diabetes management strategies should account for both genetic and gender-specific risk factors. This research contributes to the broader understanding of genetic determinants of diabetes and their interaction with gender, aiming to enhance personalized healthcare strategies for diabetes prevention and treatment.
本研究利用台湾生物银行的数据,调查单核苷酸多态性(SNP)rs1111875对台湾人群糖尿病风险的性别特异性遗传影响。糖尿病,尤其是2型糖尿病(T2D),受遗传因素影响,造血表达同源盒(HHEX)基因附近的rs1111875 SNP已被证明与T2D易感性有关。
排除来自砷污染地区和数据不完整的参与者后,本研究纳入了69272名参与者。采用逻辑回归模型进行分析。
分析显示,rs1111875的CT基因型与糖尿病风险增加相关(OR = 1.092,95% CI = 1.030 - 1.157,P = 0.003),TT基因型也是如此(OR = 1.280,95% CI = 1.165 - 1.407,P < 0.001)。这种影响在女性中更为明显(CT:OR = 1.118,95% CI = 1.036 - 1.207,P = 0.004;TT:OR = 1.404,95% CI = 1.243 - 1.585,P < 0.001)。男性的糖尿病总体风险更高(OR = 1.565,95% CI = 1.445 - 1.694,P < 0.001),患病率也高于女性(12.71%对7.80%,P < 0.001)。
研究结果强调了在糖尿病遗传研究中考虑性别差异的重要性,并表明个性化糖尿病管理策略应同时考虑遗传和性别特异性风险因素。本研究有助于更广泛地理解糖尿病的遗传决定因素及其与性别的相互作用,旨在加强糖尿病预防和治疗的个性化医疗策略。