Abstract

PurposeThe relationship between circulating osteoprotegerin (OPG) levels and the risk of cardiovascular diseases (CVDs) has been the subject of conflicting results in previous observational and experimental studies. To assess the causal effect of genetically predicted OPG levels on the risk of a wide range of CVDs, we used the Mendelian randomization design. DesignWe initially extracted information of genetic variants on OPG levels and their corresponding effect values from the summary data based on the European ancestry genome-wide association study. Subsequently, we performed two-sample Mendelian randomization analyses to assess the causal effect of genetically predicted OPG levels on CVDs by using inverse variance weighting (IVW), MR-Egger, weighted median, and MR-PRESSO methods. We also conducted sensitivity analyzes as well as complementary analyses with a more relaxed threshold for the exposure genetic instrumental variable (P < 5 × 10−6) to test the robustness of our results. ResultsOur results indicated that genetically predicted OPG levels causally reduce the risk of atrial fibrillation (IVW OR = 0.84; 95% CI = 0.72–0.98; P = 0.0241), myocardial infarction(IVW OR = 0.89; 95% CI = 0.80–0.98; P = 0.0173) and coronary heart disease (IVW: OR = 0.90; 95% CI = 0.82–0.99; P = 0.0286). Further complementary analyses also confirmed the above results remain robust and we also identified a potential causal association of OPG levels with a reduced risk of hypertensive diseases(IVW OR = 0.94;95% CI = 0.88–1.00; P = 0.0394). ConclusionThis study provides compelling evidence for a causal relationship between genetically predicted OPG levels and risk reduction of coronary heart disease, myocardial infarction, and atrial fibrillation, indicating that OPG could potentially serve as a cardiovascular risk marker in clinical practice.

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