Man Ge, Yi-Qing Xu, Xiao Hu, Yi-Sheng He, Shu-Zhen Xu, Tian He, Peng Wang, Hai-Feng Pan
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引用次数: 0
Abstract
Objectives
Emerging research has investigated the potential impact of several modifiable risk factors on the risks of rheumatoid arthritis (RA), but the findings did not yield consistent results. This study aimed to comprehensively explore the genetic causality between modifiable risk factors and the susceptibility of RA risk using the Mendelian randomization (MR) approach.
Methods
Genetic instruments for modifiable risk factors were selected from several genome-wide association studies at the genome-wide significance level (p < 5 × 10−8), respectively. Summary-level data for RA were sourced from a comprehensive meta-analysis. The causal estimates linking modifiable risk factors to RA risk were assessed using MR analysis with inverse variance weighting (IVW), MR-Egger, weighted, and weighted median methods.
Results
After Bonferroni correction for multiple tests, we found the presence of causality between educational attainment and RA, where there were protective effects of educational attainment (college completion) (odds ratio [OR] = 0.50, 95% CI = 0.36, 0.69, p = 2.87E-05) and educational attainment (years of education) (OR = 0.93, 95% CI = 0.90, 0.96, p = 4.18E-06) on the lower RA risks. Nevertheless, smoking initiation was observed to be associated with increased RA risks (OR = 1.27, 95% CI = 1.09, 1.47, p = .002). Moreover, there was no indication of horizontal pleiotropy of genetic variants during causal inference between modifiable risk factors and RA.
Conclusions
Our study reveals the genetic causal impacts of educational attainment and smoking on RA risks, suggesting that the early monitoring and recognition of modifiable risk factors would be beneficial for the preventive counseling/treatment strategies for RA.
目的 新近的研究调查了一些可改变的风险因素对类风湿性关节炎(RA)风险的潜在影响,但结果并不一致。本研究旨在利用孟德尔随机法(MR)全面探讨可改变风险因素与 RA 风险易感性之间的遗传因果关系。 方法 在全基因组显著性水平(p < 5 × 10-8)下,分别从几项全基因组关联研究中选择可改变风险因素的遗传工具。有关 RA 的摘要级数据来自一项综合荟萃分析。使用反方差加权(IVW)、MR-Egger、加权和加权中位数方法进行MR分析,评估可改变风险因素与RA风险之间的因果关系估计值。 结果 经 Bonferroni 校正多重检验后,我们发现受教育程度与 RA 之间存在因果关系,受教育程度(大学毕业)(比值比 [OR] = 0.50,95% CI = 0.36,0.69,p = 2.87E-05)和受教育程度(教育年限)(比值比 [OR] = 0.93,95% CI = 0.90,0.96,p = 4.18E-06)对降低 RA 风险有保护作用。然而,吸烟与 RA 风险增加有关(OR = 1.27,95% CI = 1.09,1.47,p = .002)。此外,在可改变的风险因素与 RA 之间的因果推断过程中,没有迹象表明遗传变异具有水平褶积性。 结论 我们的研究揭示了教育程度和吸烟对 RA 风险的遗传因果影响,表明早期监测和识别可改变的风险因素将有利于 RA 的预防咨询/治疗策略。