Investigating the causal interplay between sleep traits and risk of acute myocardial infarction: a Mendelian randomization study

BMC Medicine

Research Article

Håvard Dalen¹  Linn Beate Strand²  Eivind Schjelderup Skarpsno³  Laxmi Bhatta⁴  Bjørn Olav Åsvold⁵  Ben Michael Brumpton⁶  Nikhil Arora⁷  Rebecca Claire Richmond⁸ 

[1] Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway;Department of Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway;Clinic of Cardiology, St. Olavs Hospital, Trondheim, Norway;Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway;Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway;Department of Neurology and Clinical Neurophysiology, St. Olavs Hospital, Trondheim, Norway;K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway;Division of Mental Health Care, St. Olavs Hospital, Trondheim, Norway;Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia;K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway;HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway;Department of Endocrinology, Clinic of Medicine, St. Olavs Hospital, Trondheim, Norway;K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway;HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway;Department of Medicine, St. Olavs Hospital, Trondheim, Norway;K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway;Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK;Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK;MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK;

关键词: Insomnia;    Sleep duration;    Chronotype;    Myocardial infarction;    Mendelian randomization;   

DOI  :  10.1186/s12916-023-03078-0

 received in 2023-04-21, accepted in 2023-09-11,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundFew studies have investigated the joint effects of sleep traits on the risk of acute myocardial infarction (AMI). No previous study has used factorial Mendelian randomization (MR) which may reduce confounding, reverse causation, and measurement error. Thus, it is prudent to study joint effects using robust methods to propose sleep-targeted interventions which lower the risk of AMI.MethodsThe causal interplay between combinations of two sleep traits (including insomnia symptoms, sleep duration, or chronotype) on the risk of AMI was investigated using factorial MR. Genetic risk scores for each sleep trait were dichotomized at their median in UK Biobank (UKBB) and the second survey of the Trøndelag Health Study (HUNT2). A combination of two sleep traits constituting 4 groups were analyzed to estimate the risk of AMI in each group using a 2×2 factorial MR design.ResultsIn UKBB, participants with high genetic risk for both insomnia symptoms and short sleep had the highest risk of AMI (hazard ratio (HR) 1.10; 95% confidence interval (CI) 1.03, 1.18), although there was no evidence of interaction (relative excess risk due to interaction (RERI) 0.03; 95% CI −0.07, 0.12). These estimates were less precise in HUNT2 (HR 1.02; 95% CI 0.93, 1.13), possibly due to weak instruments and/or small sample size. Participants with high genetic risk for both a morning chronotype and insomnia symptoms (HR 1.09; 95% CI 1.03, 1.17) and a morning chronotype and short sleep (HR 1.11; 95% CI 1.04, 1.19) had the highest risk of AMI in UKBB, although there was no evidence of interaction (RERI 0.03; 95% CI −0.06, 0.12; and RERI 0.05; 95% CI –0.05, 0.14, respectively). Chronotype was not available in HUNT2.ConclusionsThis study reveals no interaction effects between sleep traits on the risk of AMI, but all combinations of sleep traits increased the risk of AMI except those with long sleep. This indicates that the main effects of sleep traits on AMI are likely to be independent of each other.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

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