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血清尿酸水平与八种特定部位癌症的风险:一项孟德尔随机化研究

Serum Uric Acid Levels and Risk of Eight Site-Specific Cancers: A Mendelian Randomization Study.

作者信息

Jiang Minxiao, Ren Liangliang, Chen Songzan, Li Gonghui

机构信息

Department of Urology, Sir Run-Run Shaw Hospital College of Medicine, Zhejiang University, Hangzhou, China.

Department of Cardiology, Key Laboratory of Biotherapy of Zhejiang Province, Sir Run-Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

出版信息

Front Genet. 2021 Mar 9;12:608311. doi: 10.3389/fgene.2021.608311. eCollection 2021.

Abstract

The relationship between serum uric acid (UA) levels and cancer risk remains controversial. Here, a two-sample Mendelian randomization analysis was performed to identify a causal effect of serum UA levels on cancer risk. Twenty-six single nucleotide polymorphisms strongly associated with serum UA levels were screened as genetic variants from large-scale meta-analysis data of a genome-wide association study of 110,347 European individuals. Genetic associations with eight common site-specific cancers were subsequently explored. A total of six Mendelian randomization methods were used to estimate the potential effect of serum UA levels on cancer risk, including random effects inverse variance weighting, fix effects inverse variance weighting, MR-Egger, median weighting, mode weighting, and simple mode analysis. Our primary random effects inverse variance weighted analysis revealed that no significant associations with cancers was found (all > 0.05). Sensitivity analyses and additional analyses also showed similar pooled results. In conclusion, no significant causality between serum UA levels and cancer risk was evidenced.

摘要

血清尿酸(UA)水平与癌症风险之间的关系仍存在争议。在此,我们进行了一项两样本孟德尔随机化分析,以确定血清UA水平对癌症风险的因果效应。从110347名欧洲个体的全基因组关联研究的大规模荟萃分析数据中筛选出26个与血清UA水平密切相关的单核苷酸多态性作为遗传变异。随后探讨了与八种常见部位特异性癌症的遗传关联。总共使用了六种孟德尔随机化方法来估计血清UA水平对癌症风险的潜在影响,包括随机效应逆方差加权、固定效应逆方差加权、MR-Egger、中位数加权、模式加权和简单模式分析。我们的主要随机效应逆方差加权分析显示,未发现与癌症有显著关联(所有P>0.05)。敏感性分析和其他分析也显示了类似的汇总结果。总之,没有证据表明血清UA水平与癌症风险之间存在显著因果关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9284/7985250/0baf7630e3b2/fgene-12-608311-g001.jpg

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