Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Department of Anesthesiology, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Arthritis Res Ther. 2022 Oct 29;24(1):243. doi: 10.1186/s13075-022-02933-4.
Observational studies have demonstrated associations between gout and hypertension, but whether they are causal remains unclear. Our work aims to assess the causal relationship between gout and hypertension.
We obtained genetic information from the Taiwan Biobank, including 88,347 participants and 686,439 single-nucleotide polymorphisms (SNPs). A novel model of Mendelian randomisation (MR) with coarsened exposures was used to examine the causality between the liability of gout on hypertension and vice versa, using 4 SNPs associated with gout and 10 SNPs associated with hypertension after removal of SNPs associated with measured confounders. The binary exposure (gout/hypertension) can be considered a coarsened approximation of a latent continuous trait. The inverse-variance weighted (IVW) and polygenic risk score (PRS) methods were used to estimate effect size. The MR analysis with coarsened exposures was performed with and without adjustments for covariates.
Of the 88,347 participants, 3253 (3.68%) had gout and 11,948 (13.52%) had hypertension (men, 31.9%; mean age 51.1 [SD, 11.1] years). After adjusting to measured confounders, MR analysis with coarsened exposures showed a significant positive causal effect of the liability of gout on hypertension in both the IVW method (relative risk [RR], 1.10; 95% confidence interval [CI], 1.03-1.19; p = 0.0077) and the PRS method (RR, 1.10; 95% CI, 1.02-1.19; p = 0.0092). The result of causality was the same before and after involving measured confounders. However, there was no causal effect of the liability of hypertension on gout.
In this study, we showed that the liability of gout has a causal effect on hypertension, but the liability of hypertension does not have a causal effect on gout. Adequate management of gout may reduce the risk of developing hypertension.
观察性研究表明痛风与高血压之间存在关联,但两者是否存在因果关系尚不清楚。我们旨在评估痛风与高血压之间的因果关系。
我们从台湾生物库中获得了遗传信息,包括 88347 名参与者和 686439 个单核苷酸多态性(SNP)。使用一种新的孟德尔随机化(MR)模型与粗化暴露,使用与痛风相关的 4 个 SNP 和与高血压相关的 10 个 SNP 来检查痛风对高血压的易感性和反之亦然之间的因果关系,这些 SNP 去除了与测量混杂因素相关的 SNP。二分暴露(痛风/高血压)可以被认为是潜在连续特征的一种粗化近似值。逆方差加权(IVW)和多基因风险评分(PRS)方法用于估计效应大小。使用和不使用协变量调整进行了粗化暴露的 MR 分析。
在 88347 名参与者中,3253 名(3.68%)患有痛风,11948 名(13.52%)患有高血压(男性 31.9%;平均年龄 51.1[SD,11.1]岁)。在调整了测量混杂因素后,使用粗化暴露的 MR 分析表明,痛风易感性对高血压有显著的正向因果作用,在 IVW 方法中(相对风险 [RR],1.10;95%置信区间 [CI],1.03-1.19;p=0.0077)和 PRS 方法(RR,1.10;95%CI,1.02-1.19;p=0.0092)。在涉及和不涉及测量混杂因素的情况下,因果关系的结果是相同的。然而,高血压易感性对痛风没有因果作用。
在这项研究中,我们表明痛风的易感性对高血压有因果影响,但高血压的易感性对痛风没有因果影响。充分管理痛风可能会降低患高血压的风险。