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

BACKGROUND AND OBJECTIVES: 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...

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Autores principales: Lee, Su Hyun, Lee, Ji-Young, Kim, Guen hui, Jung, Keum Ji, Lee, Sunmi, Kim, Hyeon Chang, Jee, Sun Ha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Cardiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515757/
https://www.ncbi.nlm.nih.gov/pubmed/32812402
http://dx.doi.org/10.4070/kcj.2020.0131
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author Lee, Su Hyun
Lee, Ji-Young
Kim, Guen hui
Jung, Keum Ji
Lee, Sunmi
Kim, Hyeon Chang
Jee, Sun Ha
author_facet Lee, Su Hyun
Lee, Ji-Young
Kim, Guen hui
Jung, Keum Ji
Lee, Sunmi
Kim, Hyeon Chang
Jee, Sun Ha
author_sort Lee, Su Hyun
collection PubMed
description BACKGROUND AND OBJECTIVES: 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.
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spelling pubmed-75157572020-10-03 Two-Sample Mendelian Randomization Study of Lipid levels and Ischemic Heart Disease Lee, Su Hyun Lee, Ji-Young Kim, Guen hui Jung, Keum Ji Lee, Sunmi Kim, Hyeon Chang Jee, Sun Ha Korean Circ J Original Article BACKGROUND AND OBJECTIVES: 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. The Korean Society of Cardiology 2020-07-13 /pmc/articles/PMC7515757/ /pubmed/32812402 http://dx.doi.org/10.4070/kcj.2020.0131 Text en Copyright © 2020. The Korean Society of Cardiology https://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lee, Su Hyun
Lee, Ji-Young
Kim, Guen hui
Jung, Keum Ji
Lee, Sunmi
Kim, Hyeon Chang
Jee, Sun Ha
Two-Sample Mendelian Randomization Study of Lipid levels and Ischemic Heart Disease
title Two-Sample Mendelian Randomization Study of Lipid levels and Ischemic Heart Disease
title_full Two-Sample Mendelian Randomization Study of Lipid levels and Ischemic Heart Disease
title_fullStr Two-Sample Mendelian Randomization Study of Lipid levels and Ischemic Heart Disease
title_full_unstemmed Two-Sample Mendelian Randomization Study of Lipid levels and Ischemic Heart Disease
title_short Two-Sample Mendelian Randomization Study of Lipid levels and Ischemic Heart Disease
title_sort two-sample mendelian randomization study of lipid levels and ischemic heart disease
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515757/
https://www.ncbi.nlm.nih.gov/pubmed/32812402
http://dx.doi.org/10.4070/kcj.2020.0131
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