ArticleJournal of diabetes investigation2025
Gender-specific genetic influence of rs1111875 on diabetes risk: Insights from the Taiwan biobank study.
Article in Journal of diabetes investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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Who cites it
3 citing papers in PubMed.
- The transcription factor HHEX maintains glucocorticoid levels and protects adrenals from androgen-induced lipid depletion.Nature communications · 2026Article
- Article
- Exploring the relationship between exercise and diabetes risk in a prediabetes population.International journal of medical sciences · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundThis 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.
methodsThe study included 69,272 participants after excluding those from arsenic-polluted areas and those with incomplete data. Logistic regression models were used for analyses.
resultsThe 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.
conclusionsThe 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.
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