PDF(Pubmed)
Abstract：
To investigate the causal relationships between pneumoconiosis and rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and gout.
The random-effects inverse variance weighted (IVW) approach was utilized to explore the causal effects of the instrumental variables (IVs). Sensitivity analyses using the MR-Egger and weighted median (WM) methods were did to investigate horizontal pleiotropy. A leave-one-out analysis was used to avoid the bias resulting from single-nucleotide polymorphisms (SNPs).
There was no causal association between pneumoconiosis and SLE, RA or gout in the European population [OR = 1.01, 95% CI: 0.94-1.10, p = 0.74; OR = 1.00, 95% CI: 0.999-1.000, p = 0.50; OR = 1.00, 95% CI: 1.000-1.001, p = 0.55]. Causal relationships were also not found in pneumoconiosis due to asbestos and other mineral fibers and SLE, RA and gout [OR = 1.01, 95% CI: 0.96-1.07, p = 0.66; OR = 1.00, 95% CI: 1.00-1.00, p = 0.68; OR = 1.00, 95% CI: 1.00-1.00, p = 0.20].
Our study suggests that pneumoconiosis may have no causal relationship with the three inflammatory immune diseases.
The random-effects inverse variance weighted (IVW) approach was utilized to explore the causal effects of the instrumental variables (IVs). Sensitivity analyses using the MR-Egger and weighted median (WM) methods were did to investigate horizontal pleiotropy. A leave-one-out analysis was used to avoid the bias resulting from single-nucleotide polymorphisms (SNPs).
There was no causal association between pneumoconiosis and SLE, RA or gout in the European population [OR = 1.01, 95% CI: 0.94-1.10, p = 0.74; OR = 1.00, 95% CI: 0.999-1.000, p = 0.50; OR = 1.00, 95% CI: 1.000-1.001, p = 0.55]. Causal relationships were also not found in pneumoconiosis due to asbestos and other mineral fibers and SLE, RA and gout [OR = 1.01, 95% CI: 0.96-1.07, p = 0.66; OR = 1.00, 95% CI: 1.00-1.00, p = 0.68; OR = 1.00, 95% CI: 1.00-1.00, p = 0.20].
Our study suggests that pneumoconiosis may have no causal relationship with the three inflammatory immune diseases.
摘要：
■为了研究尘肺和类风湿关节炎（RA）之间的因果关系，系统性红斑狼疮（SLE），还有痛风.
■随机效应逆方差加权(IVW)方法被用来探索工具变量(IVs)的因果效应。使用MR-Egger和加权中位数（WM）方法进行了敏感性分析，以研究水平多效性。使用留一法分析来避免由单核苷酸多态性(SNP)引起的偏倚。
■尘肺和SLE之间没有因果关系，欧洲人群RA或痛风[OR=1.01,95%CI:0.94-1.10,p=0.74;OR=1.00,95%CI:0.999-1.000,p=0.50;OR=1.00,95%CI:1.000-1.001,p=0.55]。由于石棉和其他矿物纤维和SLE，尘肺中也没有发现因果关系，RA和痛风[OR=1.01,95%CI:0.96-1.07,p=0.66;OR=1.00,95%CI:1.00-1.00,p=0.68;OR=1.00,95%CI:1.00-1.00,p=0.20]。
■我们的研究表明，尘肺可能与三种炎症性免疫疾病没有因果关系。
■随机效应逆方差加权(IVW)方法被用来探索工具变量(IVs)的因果效应。使用MR-Egger和加权中位数（WM）方法进行了敏感性分析，以研究水平多效性。使用留一法分析来避免由单核苷酸多态性(SNP)引起的偏倚。
■尘肺和SLE之间没有因果关系，欧洲人群RA或痛风[OR=1.01,95%CI:0.94-1.10,p=0.74;OR=1.00,95%CI:0.999-1.000,p=0.50;OR=1.00,95%CI:1.000-1.001,p=0.55]。由于石棉和其他矿物纤维和SLE，尘肺中也没有发现因果关系，RA和痛风[OR=1.01,95%CI:0.96-1.07,p=0.66;OR=1.00,95%CI:1.00-1.00,p=0.68;OR=1.00,95%CI:1.00-1.00,p=0.20]。
■我们的研究表明，尘肺可能与三种炎症性免疫疾病没有因果关系。
