Repository logo
  • Log In
    Log in via Symplectic to deposit your publication(s).
Repository logo
  • Communities & Collections
  • Research Outputs
  • Statistics
  • Log In
    Log in via Symplectic to deposit your publication(s).
  1. Home
  2. Faculty of Medicine
  3. School of Public Health
  4. School of Public Health
  5. Genetically predicted blood pressure and risk of atrial fibrillation.
 
  • Details
Genetically predicted blood pressure and risk of atrial fibrillation.
File(s)
HYPERTENSIONAHA.120.16191.pdf (355.3 KB)
Published version
OA Location
https://www.ahajournals.org/doi/10.1161/HYPERTENSIONAHA.120.16191
Author(s)
Hyman, Matthew C
Levin, Michael G
Gill, Dipender
Walker, Venexia M
Georgakis, Marios K
more
Type
Journal Article
Abstract
Observational studies have shown an association between hypertension and atrial fibrillation (AF). Aggressive blood pressure management in patients with known AF reduces overall arrhythmia burden, but it remains unclear whether hypertension is causative for AF. To address this question, this study explored the relationship between genetic predictors of blood pressure and risk of AF. We secondarily explored the relationship between genetically proxied use of antihypertensive drugs and risk of AF. Two-sample Mendelian randomization was performed using an inverse-variance weighted meta-analysis with weighted median Mendelian randomization and Egger intercept tests performed as sensitivity analyses. Summary statistics for systolic blood pressure, diastolic blood pressure, and pulse pressure were obtained from the International Consortium of Blood Pressure and the UK Biobank discovery analysis and AF from the 2018 Atrial Fibrillation Genetics Consortium multiethnic genome-wide association studies. Increases in genetically proxied systolic blood pressure, diastolic blood pressure, or pulse pressure by 10 mm Hg were associated with increased odds of AF (systolic blood pressure: odds ratio [OR], 1.17 [95% CI, 1.11-1.22]; P=1×10-11; diastolic blood pressure: OR, 1.25 [95% CI, 1.16-1.35]; P=3×10-8; pulse pressure: OR, 1.1 [95% CI, 1.0-1.2]; P=0.05). Decreases in systolic blood pressure by 10 mm Hg estimated by genetic proxies of antihypertensive medications showed calcium channel blockers (OR, 0.66 [95% CI, 0.57-0.76]; P=8×10-9) and β-blockers (OR, 0.61 [95% CI, 0.46-0.81]; P=6×10-4) decreased the risk of AF. Blood pressure-increasing genetic variants were associated with increased risk of AF, consistent with a causal relationship between blood pressure and AF. These data support the concept that blood pressure reduction with calcium channel blockade or β-blockade could reduce the risk of AF.
Date Issued
2021-02
Date Acceptance
2020-11-18
Citation
Hypertension, 2021, 77 (2), pp.376-382
URI
http://hdl.handle.net/10044/1/85836
URL
https://www.ahajournals.org/doi/10.1161/HYPERTENSIONAHA.120.16191
DOI
https://www.dx.doi.org/10.1161/HYPERTENSIONAHA.120.16191
ISSN
0194-911X
Publisher
American Heart Association
Start Page
376
End Page
382
Journal / Book Title
Hypertension
Volume
77
Issue
2
Copyright Statement
© 2020 The Authors. Hypertension is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the
terms of the Creative Commons Attribution License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited.
License URL
http://creativecommons.org/licenses/by/4.0/
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/33390040
Subjects
atrial fibrillation
blood pressure
calcium channel blockers
hypertension
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2021-01-04
About
Spiral Depositing with Spiral Publishing with Spiral Symplectic
Contact us
Open access team Report an issue
Other Services
Scholarly Communications Library Services
logo

Imperial College London

South Kensington Campus

London SW7 2AZ, UK

tel: +44 (0)20 7589 5111

Accessibility Modern slavery statement Cookie Policy

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback