Volume 23 Issue 1
Jan.  2025
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LI Yan, ZHANG Yuxia, SHAN Haiyan. Causal relationship between fasting plasma glucose and coronary heart disease based on two-sample mendelian randomization[J]. Chinese Journal of General Practice, 2025, 23(1): 50-54. doi: 10.16766/j.cnki.issn.1674-4152.003833
Citation: LI Yan, ZHANG Yuxia, SHAN Haiyan. Causal relationship between fasting plasma glucose and coronary heart disease based on two-sample mendelian randomization[J]. Chinese Journal of General Practice, 2025, 23(1): 50-54. doi: 10.16766/j.cnki.issn.1674-4152.003833
shu

Causal relationship between fasting plasma glucose and coronary heart disease based on two-sample mendelian randomization

doi: 10.16766/j.cnki.issn.1674-4152.003833

  • Department of General Practice, the First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China

Funds:

 JCZR2020003

 21-173-9-44

  • Received Date: 2024-01-21
    Available Online: 2025-02-13
    Abstract
  •   Objective  Using two-sample mendelian randomization analysis to investigate the causal relationship between fasting plasma glucose and coronary heart disease, and to provide a basis for clinical prevention and treatment of coronary heart disease.  Methods  The causal relationship between fasting plasma glucose and coronary heart disease was analyzed using a two-sample Mendelian randomization approach with stringent selection criteria (P < 5×10-8, a distance of 10 000 kb, and r2 < 0.001). To identify instrumental variables closely associated with coronary heart disease and fasting plasma glucose in a European ancestry genome-wide association studies (GWAS) dataset, we extracted SNPs. This analysis included 200 622 fasting plasma glucose samples and 12 171 coronary heart disease cases with 450 839 controls. To validate the results, a repeated Mendelian randomization analysis was conducted using GWAS data from other datasets (fasting plasma glucose: n=24 679; coronary heart disease: 43 518 cases, and 333 759 controls). The primary analytical method used was the inverse variance-weighted method (IVW), and sensitivity analyses were performed to assess the robustness of the Mendelian randomization results.  Results  The IVW analysis strongly supports that higher fasting plasma glucose levels increase the risk of coronary heart disease (OR=1.007, 95% CI: 1.002-1.013, P=0.010). Similar trends were observed in the repeated analyses (OR=1.202, 95% CI: 1.086-1.329, P < 0.001). Sensitivity analyses further reinforce the robustness of the Mendelian randomization estimates.  Conclusion  Mendelian randomization analysis in the European population indicates a causal relationship between fasting plasma glucose and increased coronary heart disease risk. Clinically managing fasting plasma glucose levels within reason may be beneficial in preventing coronary heart disease and its related complications.

     

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