The Causal Relationship between Angina Pectoris and Gout Based on Two Sample Mendelian Randomization

Jian Xiong, Yuxin Sun, Hui Huang, Yu Liu, Fayang Ling, Yin Wei, Qianhua Zheng, Wenchuan Qi, Fanrong Liang
{"title":"The Causal Relationship between Angina Pectoris and Gout Based on Two Sample Mendelian Randomization","authors":"Jian Xiong, Yuxin Sun, Hui Huang, Yu Liu, Fayang Ling, Yin Wei, Qianhua Zheng, Wenchuan Qi, Fanrong Liang","doi":"10.1155/2024/4564596","DOIUrl":null,"url":null,"abstract":"<i>Purpose</i>. Two-sample Mendelian randomization (MR) was conducted to assess the causal relationship between angina pectoris and gout. <i>Material and Methods</i>. Based on genome-wide association studies, single nucleotide polymorphisms (SNPs) that were closely associated with gout were selected from the UK Biobank–Neale Lab (ukb-a-107) as genetic instrumental variables. Considering that gout is characterized by elevated blood uric acid levels, SNPs related to blood uric acid levels were screened from BioBank Japan (bbj-a-57) as auxiliary gene instrumental variables. SNPs closely associated with angina pectoris onset were screened from the FINN dataset (finn-b-I9_ANGINA) as outcome variables. Two-sample MR was conducted, with inverse variance weighting (IVW) of the random effects model as the primary result, along with the weighted median method (WME) and the MR-Egger regression method. To further confirm the causal relationship between angina and gout incidence, a meta-analysis was conducted on the IVW results of the ukb-a-107 and bbj-a-57. <i>Results</i>. The odds ratios and 95% confidence intervals of the IVW, WME, and MR-Egger results of ukb-a-107 were (OR = 33.72; 95% CI: 2.07∼550.38), (OR = 57.94; 95% CI: 2.75∼1219.82), and (OR = 96.38; 95% CI: 0.6∼15556.93), respectively. The <svg height=\"8.68572pt\" style=\"vertical-align:-0.0498209pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.6359 8.15071 8.68572\" width=\"8.15071pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g></svg> values of IVW and WME were 0.014 and 0.014 (both &lt;0.05), respectively, indicating that the development of angina pectoris was significantly associated with the incidence of gout. The odds ratios and 95% confidence intervals of the IVW, WME, and MR-Egger about bbj-a-57 were (OR = 1.20; 95% CI: 1.07∼1.34), (OR = 1.19; 95% CI: 1.02∼1.38), and (OR = 1.30; 95% CI; 1.06∼1.60), respectively. The <svg height=\"8.68572pt\" style=\"vertical-align:-0.0498209pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.6359 8.15071 8.68572\" width=\"8.15071pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-81\"></use></g></svg> values of IVW, WME and MR-Egger were 0.001, 0.027 and 0.017 (all &lt;0.05), respectively, indicating a significant correlation between angina and blood uric acid levels. Scatter plots of ukb-a-107 and bbj-a-57 showed that the causal association estimates of the IVW, MR-Egger, and weighted median methods were similar and that the MR results were accurate. Funnel plots and the MR-Egger intercept of ukb-a-107 and bbj-a-57 showed the absence of horizontal pleiotropy. The leave-out sensitivity analysis results of ukb-a-107 and bbj-a-57 are stable. The meta-analysis of IVW results for ukb-a-107 and bbj-a-57 showed (OR = 1.20; 95% CI: 1.07–1.34, <span><svg height=\"8.8423pt\" style=\"vertical-align:-0.2064009pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.6359 19.289 8.8423\" width=\"19.289pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-81\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.658,0)\"></path></g></svg><span></span><span><svg height=\"8.8423pt\" style=\"vertical-align:-0.2064009pt\" version=\"1.1\" viewbox=\"22.8711838 -8.6359 21.918 8.8423\" width=\"21.918pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.921,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,29.161,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,32.125,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.365,0)\"></path></g></svg>),</span></span> confirming that gout characterized by high blood uric acid levels significantly increases the risk of angina attacks. <i>Conclusions</i>. This MR study found a clear causal relationship between angina pectoris and gout, which increases the risk of angina pectoris.","PeriodicalId":501829,"journal":{"name":"Pain Research and Management","volume":"26 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pain Research and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2024/4564596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Purpose. Two-sample Mendelian randomization (MR) was conducted to assess the causal relationship between angina pectoris and gout. Material and Methods. Based on genome-wide association studies, single nucleotide polymorphisms (SNPs) that were closely associated with gout were selected from the UK Biobank–Neale Lab (ukb-a-107) as genetic instrumental variables. Considering that gout is characterized by elevated blood uric acid levels, SNPs related to blood uric acid levels were screened from BioBank Japan (bbj-a-57) as auxiliary gene instrumental variables. SNPs closely associated with angina pectoris onset were screened from the FINN dataset (finn-b-I9_ANGINA) as outcome variables. Two-sample MR was conducted, with inverse variance weighting (IVW) of the random effects model as the primary result, along with the weighted median method (WME) and the MR-Egger regression method. To further confirm the causal relationship between angina and gout incidence, a meta-analysis was conducted on the IVW results of the ukb-a-107 and bbj-a-57. Results. The odds ratios and 95% confidence intervals of the IVW, WME, and MR-Egger results of ukb-a-107 were (OR = 33.72; 95% CI: 2.07∼550.38), (OR = 57.94; 95% CI: 2.75∼1219.82), and (OR = 96.38; 95% CI: 0.6∼15556.93), respectively. The values of IVW and WME were 0.014 and 0.014 (both <0.05), respectively, indicating that the development of angina pectoris was significantly associated with the incidence of gout. The odds ratios and 95% confidence intervals of the IVW, WME, and MR-Egger about bbj-a-57 were (OR = 1.20; 95% CI: 1.07∼1.34), (OR = 1.19; 95% CI: 1.02∼1.38), and (OR = 1.30; 95% CI; 1.06∼1.60), respectively. The values of IVW, WME and MR-Egger were 0.001, 0.027 and 0.017 (all <0.05), respectively, indicating a significant correlation between angina and blood uric acid levels. Scatter plots of ukb-a-107 and bbj-a-57 showed that the causal association estimates of the IVW, MR-Egger, and weighted median methods were similar and that the MR results were accurate. Funnel plots and the MR-Egger intercept of ukb-a-107 and bbj-a-57 showed the absence of horizontal pleiotropy. The leave-out sensitivity analysis results of ukb-a-107 and bbj-a-57 are stable. The meta-analysis of IVW results for ukb-a-107 and bbj-a-57 showed (OR = 1.20; 95% CI: 1.07–1.34, ), confirming that gout characterized by high blood uric acid levels significantly increases the risk of angina attacks. Conclusions. This MR study found a clear causal relationship between angina pectoris and gout, which increases the risk of angina pectoris.
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基于双样本孟德尔随机法的心绞痛与痛风之间的因果关系
研究目的采用双样本孟德尔随机法(MR)评估心绞痛与痛风之间的因果关系。材料和方法。根据全基因组关联研究,从英国生物库-尼尔实验室(ukb-a-107)中筛选出与痛风密切相关的单核苷酸多态性(SNPs)作为遗传工具变量。考虑到痛风的特征是血尿酸水平升高,因此从日本生物库(bbj-a-57)中筛选出与血尿酸水平相关的 SNPs 作为辅助基因工具变量。从 FINN 数据集(finn-b-I9_ANGINA)中筛选出与心绞痛发病密切相关的 SNPs 作为结果变量。采用随机效应模型的反方差加权法(IVW)以及加权中值法(WME)和 MR-Egger 回归法进行了双样本 MR 分析。为进一步证实心绞痛与痛风发病率之间的因果关系,对ukb-a-107 和 bbj-a-57 的 IVW 结果进行了荟萃分析。结果显示ukb-a-107的IVW、WME和MR-Egger结果的几率比和95%置信区间分别为(OR = 33.72; 95% CI: 2.07∼550.38)、(OR = 57.94; 95% CI: 2.75∼1219.82)和(OR = 96.38; 95% CI: 0.6∼15556.93)。IVW和WME的值分别为0.014和0.014(均为<0.05),表明心绞痛的发生与痛风的发病率显著相关。关于bbj-a-57的IVW、WME和MR-Egger的几率比和95%置信区间分别为(OR = 1.20; 95% CI: 1.07∼1.34)、(OR = 1.19; 95% CI: 1.02∼1.38)和(OR = 1.30; 95% CI; 1.06∼1.60)。IVW、WME和MR-Egger的值分别为0.001、0.027和0.017(均为<0.05),表明心绞痛与血尿酸水平之间存在显著相关性。ukb-a-107和bbj-a-57的散点图显示,IVW、MR-Egger和加权中值法的因果关联估计值相似,MR结果准确。ukb-a-107和bbj-a-57的漏斗图和MR-Egger截距显示不存在水平多效性。ukb-a-107和bbj-a-57的剔除敏感性分析结果稳定。ukb-a-107和bbj-a-57的IVW荟萃分析结果显示(OR = 1.20; 95% CI: 1.07-1.34, ),证实了以高血尿酸水平为特征的痛风会显著增加心绞痛发作的风险。结论这项磁共振研究发现,心绞痛与痛风之间存在明显的因果关系,痛风会增加心绞痛发作的风险。
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