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

Jian Xiong, Yuxin Sun, Hui Huang, Yu Liu, Fayang Ling, Yin Wei, Qianhua Zheng, Wenchuan Qi, Fanrong Liang
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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":"{\"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>. 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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. 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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}","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}
引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Causal Relationship between Angina Pectoris and Gout Based on Two Sample Mendelian Randomization
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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