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Risk factors mediating the effect of body mass index and waist-to-hip ratio on cardiovascular outcomes: Mendelian randomization analysis.

Gill, D; Zuber, V; Dawson, J; Pearson-Stuttard, J; Carter, AR; Sanderson, E; Karhunen, V; Levin, MG; Wootton, RE; Klarin, D; et al. Gill, D; Zuber, V; Dawson, J; Pearson-Stuttard, J; Carter, AR; Sanderson, E; Karhunen, V; Levin, MG; Wootton, RE; Klarin, D; Tsao, PS; Tsilidis, KK; Damrauer, SM; Burgess, S; Elliott, P (2021) Risk factors mediating the effect of body mass index and waist-to-hip ratio on cardiovascular outcomes: Mendelian randomization analysis. Int J Obes (Lond), 45 (7). pp. 1428-1438. ISSN 1476-5497 https://doi.org/10.1038/s41366-021-00807-4
SGUL Authors: Gill, Dipender Preet Singh

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Abstract

BACKGROUND: Higher body mass index (BMI) and waist-to-hip ratio (WHR) increase the risk of cardiovascular disease, but the extent to which this is mediated by blood pressure, diabetes, lipid traits, and smoking is not fully understood. METHODS: Using consortia and UK Biobank genetic association summary data from 140,595 to 898,130 participants predominantly of European ancestry, Mendelian randomization mediation analysis was performed to investigate the degree to which systolic blood pressure (SBP), diabetes, lipid traits, and smoking mediated an effect of BMI and WHR on the risk of coronary artery disease (CAD), peripheral artery disease (PAD) and stroke. RESULTS: The odds ratio of CAD per 1-standard deviation increase in genetically predicted BMI was 1.49 (95% CI 1.39 to 1.60). This attenuated to 1.34 (95% CI 1.24 to 1.45) after adjusting for genetically predicted SBP (proportion mediated 27%, 95% CI 3% to 50%), to 1.27 (95% CI 1.17 to 1.37) after adjusting for genetically predicted diabetes (41% mediated, 95% CI 18% to 63%), to 1.47 (95% CI 1.36 to 1.59) after adjusting for genetically predicted lipids (3% mediated, 95% -23% to 29%), and to 1.46 (95% CI 1.34 to 1.58) after adjusting for genetically predicted smoking (6% mediated, 95% CI -20% to 32%). Adjusting for all the mediators together, the estimate attenuated to 1.14 (95% CI 1.04 to 1.26; 66% mediated, 95% CI 42% to 91%). A similar pattern was observed when considering genetically predicted WHR as the exposure, and PAD or stroke as the outcome. CONCLUSIONS: Measures to reduce obesity will lower the risk of cardiovascular disease primarily by impacting downstream metabolic risk factors, particularly diabetes and hypertension. Reduction of obesity prevalence alongside control and management of its mediators is likely to be most effective for minimizing the burden of obesity.

Item Type: Article
Additional Information: © The Author(s) 2021. This article is published with open access Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: 11 Medical and Health Sciences, 13 Education, Endocrinology & Metabolism
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: Int J Obes (Lond)
ISSN: 1476-5497
Language: eng
Dates:
DateEvent
July 2021Published
17 May 2021Published Online
22 March 2021Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
I01-BX003362U.S. Department of Veterans Affairshttp://dx.doi.org/10.13039/100000738
203928/Z/16/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
RE/18/4/34215British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
CL-2020-16-001National Institute for Health Researchhttp://dx.doi.org/10.13039/501100000272
MC_UU00011/1Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
721567Horizon 2020UNSPECIFIED
MC_UU_00011/7Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
IK2-CX001780U.S. Department of Veterans Affairshttp://dx.doi.org/10.13039/100000738
204623/Z/16/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
MR/S019669/1Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
PubMed ID: 34002035
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/113291
Publisher's version: https://doi.org/10.1038/s41366-021-00807-4

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