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Assessing the causal relationships between gout and hypertension: a bidirectional Mendelian randomisation study with coarsened exposures.
Lai, Benjamin; Yu, Huang-Ping; Chang, Yu-Jing; Wang, Liang-Chin; Chen, Che-Kai; Zhang, Weiya; Doherty, Michael; Chang, Shang-Hung; Hsu, Jun-Te; Yu, Kuang-Hui; Kuo, Chang-Fu.
Afiliação
  • Lai B; Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
  • Yu HP; Department of Anesthesiology, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
  • Chang YJ; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
  • Wang LC; Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
  • Chen CK; Division of Rheumatology, Allergy and Immunology, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
  • Zhang W; Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
  • Doherty M; Academic Rheumatology, School of Medicine, University of Nottingham, Nottingham, UK.
  • Chang SH; Pain Centre Versus Arthritis, University of Nottingham, Nottingham, UK.
  • Hsu JT; Academic Rheumatology, School of Medicine, University of Nottingham, Nottingham, UK.
  • Yu KH; Pain Centre Versus Arthritis, University of Nottingham, Nottingham, UK.
  • Kuo CF; Division of Cardiology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan.
Arthritis Res Ther ; 24(1): 243, 2022 10 29.
Article em En | MEDLINE | ID: mdl-36309757
ABSTRACT

OBJECTIVES:

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.

METHODS:

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.

RESULTS:

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.

CONCLUSIONS:

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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gota / Hipertensão Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gota / Hipertensão Idioma: En Ano de publicação: 2022 Tipo de documento: Article