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Assessing the causal relationships between gout and hypertension: a bidirectional Mendelian randomisation study with coarsened exposures

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 88,3...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617405/
https://www.ncbi.nlm.nih.gov/pubmed/36309757
http://dx.doi.org/10.1186/s13075-022-02933-4
Descripción
Sumario: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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13075-022-02933-4.