Lee Su Hyun, Lee Ji Young, Kim Guen Hui, Jung Keum Ji, Lee Sunmi, Kim Hyeon Chang, Jee Sun Ha
Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea.
Health Insurance Policy Research Institute, National Health Insurance Service, Wonju, Korea.
Korean Circ J. 2020 Oct;50(10):940-948. doi: 10.4070/kcj.2020.0131. Epub 2020 Jul 13.
Associations between blood lipids and risk of ischemic heart disease (IHD) have been reported in observational studies. However, due to confounding and reverse causation, observational studies are influenced by bias, thus their results show inconsistency in the effects of lipid levels on IHD. In this study, we evaluate whether lipid levels have an effect on the risk of IHD in a Korean population.
A 2-sample Mendelian randomization (MR) study, using the genetic variants associated with lipid levels as the instrumental variables was performed. Genetic variants significantly associated with lipid concentrations were obtained from the Korean Genome and Epidemiology Study (n=35,000), and the same variants on IHD were obtained from the Korean Cancer Prevention Study-II (n=13,855). Inverse variance weighting (IVW), weighted median, and MR-Egger approaches were used to assess the causal association between lipid levels and IHD. Radial MR methods were applied to remove outliers subject to pleiotropic bias.
Causal association between low-density lipoprotein-cholesterol (LDL-C) and IHD was observed in the IVW method (odds ratio, 1.013; 95% confidence interval, 1.007-1.109). However, high-density lipoprotein-cholesterol (HDL-C) and triglyceride (TG) did not show causal association with IHD. In the Radial MR analysis of the relationship between HDL-C, TG and IHD, outliers were detected. Interestingly, after removing the outliers, a causal association between TG and IHD was found.
High levels LDL-C and TG were causally associated with increased IHD risk in a Korean population, these results are potentially useful as evidence of a significant causal relationship.
观察性研究报告了血脂与缺血性心脏病(IHD)风险之间的关联。然而,由于混杂因素和反向因果关系,观察性研究受到偏倚的影响,因此其结果在血脂水平对IHD的影响方面表现出不一致性。在本研究中,我们评估了血脂水平对韩国人群IHD风险是否有影响。
进行了一项两样本孟德尔随机化(MR)研究,使用与血脂水平相关的基因变异作为工具变量。与血脂浓度显著相关的基因变异来自韩国基因组与流行病学研究(n = 35,000),而IHD的相同变异来自韩国癌症预防研究-II(n = 13,855)。采用逆方差加权(IVW)、加权中位数和MR-Egger方法来评估血脂水平与IHD之间的因果关联。应用径向MR方法去除受多效性偏倚影响的异常值。
在IVW方法中观察到低密度脂蛋白胆固醇(LDL-C)与IHD之间存在因果关联(优势比,1.013;95%置信区间,1.007 - 1.109)。然而,高密度脂蛋白胆固醇(HDL-C)和甘油三酯(TG)与IHD未显示出因果关联。在对HDL-C、TG与IHD关系的径向MR分析中,检测到了异常值。有趣的是,去除异常值后,发现TG与IHD之间存在因果关联。
在韩国人群中,高水平的LDL-C和TG与IHD风险增加存在因果关联,这些结果可能作为显著因果关系的证据而有用。