Abstract

BackgroundMendelian Randomization (MR) studies show conflicting causal associations of genetically predicted serum urate with cardiovascular risk factors (i.e., hypertension, diabetes, lipid profile, and kidney function). This study aimed to robustly investigate a causal relationship between urate and cardiovascular risk factors considering single nucleotide polymorphisms (SNPs) as instrumental variables using two-sample MR and various sensitivity analyses.MethodsData on SNP-urate associations were taken from the Global Urate Genetics Consortium and data on SNP-cardiovascular risk factor associations were taken from various consortia/UK Biobank. SNPs were selected by statistically and biologically driven approaches as instrumental variables. Various sensitivity analyses were performed using different MR methods including inverse variance weighted, MR-Egger, weighted median/mode, MR-PRESSO, and the contamination mixture method.ResultsThe statistically driven approach showed significant causal effects of urate on HDL-C and triglycerides using four of the six MR methods, i.e., every 1 mg/dl increase in genetically predicted urate was associated with 0.047 to 0.103 SD decrease in HDL-C and 0.034 to 0.207 SD increase in triglycerides. The biologically driven approach to selection of SNPs from ABCG2, SLC2A9, SLC17A1, SLC22A11, and SLC22A12 showed consistent causal effects of urate on HDL-C from all methods with 0.038 to 0.057 SD decrease in HDL-C per 1 mg/dl increase of urate, and no evidence of horizontal pleiotropy was detected.ConclusionOur study suggests a significant and robust causal effect of genetically predicted urate on HDL-C. This finding may explain a small proportion (7%) of the association between increased urate and cardiovascular disease but points to urate being a novel cardiac risk factor.

Highlights

  • Cardiovascular disease (CVD) carries the greatest global disease burden (World Health Organization, 2017)

  • There were 2,450,547 autosomal single nucleotide polymorphism (SNP)-urate associations in the GUGC, of which 27 were significantly associated with urate with F statistics ranging from 35.39 to 1406.25 with corresponding P-values of 2.36 × 10−8 to 1.00 × 10−200; the proportion of phenotypic variance explained by each SNP (R2) ranged from 0.00032 to 0.01262, see Supplementary Table 2

  • Between 15 and 25 SNPs were significantly associated with continuous outcomes through urate

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Summary

Introduction

Cardiovascular disease (CVD) carries the greatest global disease burden (World Health Organization, 2017) It can be caused by various risk factors including serum urate (Feig et al, 2008). Some studies show that colchicine, a drug used for treatment of gout induced by urate crystal deposition, can reduce the risk of CVD (Tardif et al, 2019; Nidorf et al, 2020). It is unclear whether urate is truly causal for CVD, and if it is, whether this is through traditional risk factors or via a novel route. Mendelian Randomization (MR) studies show conflicting causal associations of genetically predicted serum urate with cardiovascular risk factors (i.e., hypertension, diabetes, lipid profile, and kidney function). This study aimed to robustly investigate a causal relationship between urate and cardiovascular risk factors considering single nucleotide polymorphisms (SNPs) as instrumental variables using two-sample MR and various sensitivity analyses

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