Abstract：Objective To examine the causal relationship between food intake and atherosclerosis using two-sample Mendelian randomization (MR) approach, so as to provide the reference for the prevention of atherosclerosis. Methods Data of 16 types of food (grains, vegetables, fruits, meats, etc.) and 4 types of atherosclerosis (coronary atherosclerosis, cerebral atherosclerosis, peripheral atherosclerosis and other atherosclerosis) was collected through IEU OpenGWAS database, with food data comprising approximately 500 000 subjects and 9 851 867 SNPs and atherosclerosis data comprising approximately 200 000 subjects and 16 380 447 SNPs. The causal relationship was analyzed using inverse-variance weighted (IVW) method with food as the exposure variable and atherosclerosis as the outcome variable. Sensitivity analysis was performed using funnel plots and leave-one-out. Results Dried fruit intake was associated with decreased risks of peripheral atherosclerosis (OR=0.195, 95%CI: 0.082-0.466) and other atherosclerosis (OR=0.208, 95%CI: 0.095-0.452), and cheese intake was associated with decreased risk of peripheral atherosclerosis (OR=0.575, 95%CI: 0.380-0.870). Coffee intake was associated with increased risk of coronary atherosclerosis (OR=1.645, 95%CI: 1.099-2.462), and alcohol intake was associated with increased risk of other atherosclerosis (OR=1.269, 95%CI: 1.032-1.561). There was no statistically significant association between 16 types of food and cerebral atherosclerosis. No horizontal pleiotropy was found, no single SNP had significant impact on the overall estimated value, and the funnel plots did not show significant bias. Conclusion Dried fruit and cheese intake are protective factors for atherosclerosis, while coffee and alcohol intake are risk factors for atherosclerosis.
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