Volume 24 Issue 3
Mar.  2026
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MENG Siyu, CHEN Xiumin. A two-sample Mendelian randomized study of type 2 diabetes versus ankle fracture risk[J]. Chinese Journal of General Practice, 2026, 24(3): 521-524. doi: 10.16766/j.cnki.issn.1674-4152.004433
Citation: MENG Siyu, CHEN Xiumin. A two-sample Mendelian randomized study of type 2 diabetes versus ankle fracture risk[J]. Chinese Journal of General Practice, 2026, 24(3): 521-524. doi: 10.16766/j.cnki.issn.1674-4152.004433

A two-sample Mendelian randomized study of type 2 diabetes versus ankle fracture risk

doi: 10.16766/j.cnki.issn.1674-4152.004433
Funds:

 2022ZY1192

 2024ZY2193

  • Received Date: 2025-02-11
    Available Online: 2026-06-02
  •   Objective  It has been proven that diabetes mellitus plays an important role in the occurrence and development of joint fractures. In this study, a two-sample Mendelian randomization analysis was conducted to investigate the causal relationship between diabetes and ankle fractures.  Methods  Data from published genome-wide association studies (GWAS) were collected, and 116 single-nucleotide polymorphisms (SNPs) were selected as instrumental variable (IVs) by removing linkage disequilibrium and confounding factors, setting correlation thresholds. The association between diabetes mellitus and the risk of ankle fracture was evaluated by inverse variance-weighted (IVW), MR-Egger, weighted median (WME), simple multivariate analysis (SM), and weighted multivariate analysis (WM). The sensitivity analysis was carried out by using the leave-one-out method, and the robustness of the results was evaluated by sensitivity analysis. The reliability and robustness of the MR analysis results were further evaluated by visual means. Cochran's Q test was used to detect heterogeneity between instrument variables.  Results  Statistical analysis showed that there was a significant causal relationship between diabetes mellitus and ankle fracture (IVW: OR=1.001, 95% CI: 1.001-1.002, P=0.035). The results of MR analysis showed that MR Egger (P=0.007), weighted median method (P=0.006), the results of the weighted model method (P=0.002) further verified this finding, the causal relationship obtained by the above methods was in the same direction, and the analysis of the leave-one-out method did not find a single SNP that significantly affected the overall results, and the heterogeneity test and pleiotropic experimental results supported the reliability and robustness of the MR conclusions.  Conclusion  There is a positive causal relationship between diabetes and ankle fractures, and diabetes is associated with an increased risk of ankle fractures.

     

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