Assessing causal estimates of the association of obesity-related traits with coronary artery disease using a Mendelian randomization approach

Abstract Obesity-related traits have been associated with coronary artery disease (CAD) in observational studies, but these associations may be biased by confounding factors and reverse causation. In this study, we specifically conducted two-sample Mendelian randomization (MR) analyses to overcome t...

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Autores principales:	Xue Zhang, Wan-Qiang Lv, Bo Qiu, Li-Jun Zhang, Jian Qin, Feng-Juan Tang, Hai-Tao Wang, Hua-Jie Li, Ya-Rong Hao
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f69c32ca22df442ead14f981d09085cc
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spelling	oai:doaj.org-article:f69c32ca22df442ead14f981d09085cc2021-12-02T16:07:50ZAssessing causal estimates of the association of obesity-related traits with coronary artery disease using a Mendelian randomization approach10.1038/s41598-018-25305-y2045-2322https://doaj.org/article/f69c32ca22df442ead14f981d09085cc2018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25305-yhttps://doaj.org/toc/2045-2322Abstract Obesity-related traits have been associated with coronary artery disease (CAD) in observational studies, but these associations may be biased by confounding factors and reverse causation. In this study, we specifically conducted two-sample Mendelian randomization (MR) analyses to overcome these limitations and test the associations of obesity-related traits (other than body mass index (BMI)) (n = 322,154) with CAD (22,233 cases and 64,762 controls) by using summary-level data from previous studies. The methods utilized to estimate these associations included the inverse-variance weighted method, the weighted median method and MR-Egger regression. Our results supported causal effects of BMI, hip circumference (HC), waist circumference (WC), and waist-hip ratio (WHR) on CAD. The associations of BMI-adjusted HC and WC with CAD were reversed, unlike that of WHR. In MR analyses excluding overlapping single nucleotide polymorphisms (SNPs) from obesity-related traits, the associations of these traits with CAD were preserved. The associations of BMI-adjusted HC and WC with CAD require further investigation, as collider stratification may be occurring. Additionally, central adiposity (measured by WHR) separated from general adiposity (measured by BMI) and general adiposity might pose similar risks for CAD. In clinical practice, physicians should pay attention to the potential effects of different obesity-related traits on CAD.Xue ZhangWan-Qiang LvBo QiuLi-Jun ZhangJian QinFeng-Juan TangHai-Tao WangHua-Jie LiYa-Rong HaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-7 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xue Zhang Wan-Qiang Lv Bo Qiu Li-Jun Zhang Jian Qin Feng-Juan Tang Hai-Tao Wang Hua-Jie Li Ya-Rong Hao Assessing causal estimates of the association of obesity-related traits with coronary artery disease using a Mendelian randomization approach
description	Abstract Obesity-related traits have been associated with coronary artery disease (CAD) in observational studies, but these associations may be biased by confounding factors and reverse causation. In this study, we specifically conducted two-sample Mendelian randomization (MR) analyses to overcome these limitations and test the associations of obesity-related traits (other than body mass index (BMI)) (n = 322,154) with CAD (22,233 cases and 64,762 controls) by using summary-level data from previous studies. The methods utilized to estimate these associations included the inverse-variance weighted method, the weighted median method and MR-Egger regression. Our results supported causal effects of BMI, hip circumference (HC), waist circumference (WC), and waist-hip ratio (WHR) on CAD. The associations of BMI-adjusted HC and WC with CAD were reversed, unlike that of WHR. In MR analyses excluding overlapping single nucleotide polymorphisms (SNPs) from obesity-related traits, the associations of these traits with CAD were preserved. The associations of BMI-adjusted HC and WC with CAD require further investigation, as collider stratification may be occurring. Additionally, central adiposity (measured by WHR) separated from general adiposity (measured by BMI) and general adiposity might pose similar risks for CAD. In clinical practice, physicians should pay attention to the potential effects of different obesity-related traits on CAD.
format	article
author	Xue Zhang Wan-Qiang Lv Bo Qiu Li-Jun Zhang Jian Qin Feng-Juan Tang Hai-Tao Wang Hua-Jie Li Ya-Rong Hao
author_facet	Xue Zhang Wan-Qiang Lv Bo Qiu Li-Jun Zhang Jian Qin Feng-Juan Tang Hai-Tao Wang Hua-Jie Li Ya-Rong Hao
author_sort	Xue Zhang
title	Assessing causal estimates of the association of obesity-related traits with coronary artery disease using a Mendelian randomization approach
title_short	Assessing causal estimates of the association of obesity-related traits with coronary artery disease using a Mendelian randomization approach
title_full	Assessing causal estimates of the association of obesity-related traits with coronary artery disease using a Mendelian randomization approach
title_fullStr	Assessing causal estimates of the association of obesity-related traits with coronary artery disease using a Mendelian randomization approach
title_full_unstemmed	Assessing causal estimates of the association of obesity-related traits with coronary artery disease using a Mendelian randomization approach
title_sort	assessing causal estimates of the association of obesity-related traits with coronary artery disease using a mendelian randomization approach
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/f69c32ca22df442ead14f981d09085cc
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Assessing causal estimates of the association of obesity-related traits with coronary artery disease using a Mendelian randomization approach

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