Two-Sample Mendelian Randomization Study of Lipid levels and Ischemic Heart Disease. 2020

Su Hyun Lee, and Ji Young Lee, and Guen Hui Kim, and Keum Ji Jung, and Sunmi Lee, and Hyeon Chang Kim, and Sun Ha Jee
Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea.

OBJECTIVE 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. METHODS 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. RESULTS 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. CONCLUSIONS 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.

UI MeSH Term Description Entries

Related Publications

Su Hyun Lee, and Ji Young Lee, and Guen Hui Kim, and Keum Ji Jung, and Sunmi Lee, and Hyeon Chang Kim, and Sun Ha Jee
October 2020, Korean circulation journal,
Su Hyun Lee, and Ji Young Lee, and Guen Hui Kim, and Keum Ji Jung, and Sunmi Lee, and Hyeon Chang Kim, and Sun Ha Jee
November 2016, International journal of cardiology,
Su Hyun Lee, and Ji Young Lee, and Guen Hui Kim, and Keum Ji Jung, and Sunmi Lee, and Hyeon Chang Kim, and Sun Ha Jee
November 2022, Journal of cardiovascular medicine (Hagerstown, Md.),
Su Hyun Lee, and Ji Young Lee, and Guen Hui Kim, and Keum Ji Jung, and Sunmi Lee, and Hyeon Chang Kim, and Sun Ha Jee
January 2024, Frontiers in cardiovascular medicine,
Su Hyun Lee, and Ji Young Lee, and Guen Hui Kim, and Keum Ji Jung, and Sunmi Lee, and Hyeon Chang Kim, and Sun Ha Jee
January 2023, Annals of clinical and translational neurology,
Su Hyun Lee, and Ji Young Lee, and Guen Hui Kim, and Keum Ji Jung, and Sunmi Lee, and Hyeon Chang Kim, and Sun Ha Jee
August 2023, Neurology and therapy,
Su Hyun Lee, and Ji Young Lee, and Guen Hui Kim, and Keum Ji Jung, and Sunmi Lee, and Hyeon Chang Kim, and Sun Ha Jee
January 2024, Sleep medicine,
Su Hyun Lee, and Ji Young Lee, and Guen Hui Kim, and Keum Ji Jung, and Sunmi Lee, and Hyeon Chang Kim, and Sun Ha Jee
November 2022, Nutrition, metabolism, and cardiovascular diseases : NMCD,
Su Hyun Lee, and Ji Young Lee, and Guen Hui Kim, and Keum Ji Jung, and Sunmi Lee, and Hyeon Chang Kim, and Sun Ha Jee
August 2017, Scientific reports,
Su Hyun Lee, and Ji Young Lee, and Guen Hui Kim, and Keum Ji Jung, and Sunmi Lee, and Hyeon Chang Kim, and Sun Ha Jee
January 2022, Frontiers in cardiovascular medicine,
Copied contents to your clipboard!