孟德尔随机化
优势比
置信区间
医学
单核苷酸多态性
静脉血栓形成
内科学
血栓形成
遗传学
基因型
生物
基因
遗传变异
作者
Ming Liu,Shiwei Li,Xinxin Zhang,Bo Huang,Yuhong Fu,Xin Li,Jingqiu Cui
标识
DOI:10.1016/j.numecd.2024.01.018
摘要
Background and Aim Previous experimental and observational studies showed that serum uric acid (SUA) was associated with deep venous thrombosis (DVT), but the causal relationship is unclear. This study aimed to explore the potential causal association between SUA and DVT. Methods and Results We designed a two-sample Mendelian randomization (MR) analysis by using summary-level data from large genome-wide association studies performed in European individuals. A total of 14 SUA-related single-nucleotide polymorphisms (SNPs) (P value < 5 × 10-8) were identified as instrumental variables. The inverse variance weighted method was used as the primary method to compute the odds ratios (ORs) and 95% confidence intervals (95% CIs) for per standard deviation increase in SUA. MR Egger, weighted median, weighted mode, and simple mode were also applied to test the robustness of the results.We found no significant causal effects of serum uric acid on deep venous thrombosis (odds ratio [OR]: 1.000, 95% confidence interval [CI]: 0.998-1.002, p = 0.78) by using inverse variance weighted. MR analyses based on other methods showed similar results. Conclusions There was no potential causal associations between higher genetically predicted SUA levels and increased risk of deep venous thrombosis. Further, MR studies with more valid SNPs and more DVT cases are needed. Validation of the findings is also recommended.
科研通智能强力驱动
Strongly Powered by AbleSci AI