We additionally performed genome-wide MR analyses using Causal Analysis Using Summary Effect estimates (CAUSE)，孟德尔随机化安装CAUSE包

（version 1.3.0）in R software (version 4.0.2). We obtained the summary statistics for the exposure and outcome from large-scale GWAS datasets, and used the two-sample MR approach to estimate the causal effect of the exposure on the outcome. We used the inverse-variance weighted (IVW) method as the primary analysis, and performed sensitivity analyses using the weighted median and MR-Egger methods to assess the robustness of the results. We also checked for potential pleiotropy using the MR-PRESSO method. The significance threshold was set at a Bonferroni-corrected p-value of 0.05/number of tests performed.