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

BACKGROUND: Few 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 e...

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Autores principales: Arora, Nikhil, Bhatta, Laxmi, Skarpsno, Eivind Schjelderup, Dalen, Håvard, Åsvold, Bjørn Olav, Brumpton, Ben Michael, Richmond, Rebecca Claire, Strand, Linn Beate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557341/
https://www.ncbi.nlm.nih.gov/pubmed/37798698
http://dx.doi.org/10.1186/s12916-023-03078-0
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author Arora, Nikhil
Bhatta, Laxmi
Skarpsno, Eivind Schjelderup
Dalen, Håvard
Åsvold, Bjørn Olav
Brumpton, Ben Michael
Richmond, Rebecca Claire
Strand, Linn Beate
author_facet Arora, Nikhil
Bhatta, Laxmi
Skarpsno, Eivind Schjelderup
Dalen, Håvard
Åsvold, Bjørn Olav
Brumpton, Ben Michael
Richmond, Rebecca Claire
Strand, Linn Beate
author_sort Arora, Nikhil
collection PubMed
description BACKGROUND: Few 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. METHODS: The 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. RESULTS: In 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. CONCLUSIONS: This 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-03078-0.
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spelling pubmed-105573412023-10-07 Investigating the causal interplay between sleep traits and risk of acute myocardial infarction: a Mendelian randomization study Arora, Nikhil Bhatta, Laxmi Skarpsno, Eivind Schjelderup Dalen, Håvard Åsvold, Bjørn Olav Brumpton, Ben Michael Richmond, Rebecca Claire Strand, Linn Beate BMC Med Research Article BACKGROUND: Few 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. METHODS: The 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. RESULTS: In 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. CONCLUSIONS: This 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-03078-0. BioMed Central 2023-10-05 /pmc/articles/PMC10557341/ /pubmed/37798698 http://dx.doi.org/10.1186/s12916-023-03078-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Arora, Nikhil
Bhatta, Laxmi
Skarpsno, Eivind Schjelderup
Dalen, Håvard
Åsvold, Bjørn Olav
Brumpton, Ben Michael
Richmond, Rebecca Claire
Strand, Linn Beate
Investigating the causal interplay between sleep traits and risk of acute myocardial infarction: a Mendelian randomization study
title Investigating the causal interplay between sleep traits and risk of acute myocardial infarction: a Mendelian randomization study
title_full Investigating the causal interplay between sleep traits and risk of acute myocardial infarction: a Mendelian randomization study
title_fullStr Investigating the causal interplay between sleep traits and risk of acute myocardial infarction: a Mendelian randomization study
title_full_unstemmed Investigating the causal interplay between sleep traits and risk of acute myocardial infarction: a Mendelian randomization study
title_short Investigating the causal interplay between sleep traits and risk of acute myocardial infarction: a Mendelian randomization study
title_sort investigating the causal interplay between sleep traits and risk of acute myocardial infarction: a mendelian randomization study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557341/
https://www.ncbi.nlm.nih.gov/pubmed/37798698
http://dx.doi.org/10.1186/s12916-023-03078-0
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