Relationship Between Blood Pressure and Incident Cardiovascular Disease: Linear and Nonlinear Mendelian Randomization Analyses

Author:

Malik Rainer1,Georgakis Marios K.1ORCID,Vujkovic Marijana23ORCID,Damrauer Scott M.23ORCID,Elliott Paul45678ORCID,Karhunen Ville4ORCID,Giontella Alice910,Fava Cristiano910ORCID,Hellwege Jacklyn N.11ORCID,Shuey Megan M.11,Edwards Todd L.12,Rogne Tormod131415,Åsvold Bjørn O.1617ORCID,Brumpton Ben M.1817ORCID,Burgess Stephen1920,Dichgans Martin12122ORCID,Gill Dipender45232425ORCID

Affiliation:

1. Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-University LMU, Munich, Germany (R.M., M.K.G., M.D.).

2. Perelman School of Medicine, University of Pennsylvania, Philadelphia (M.V., S.M.D.).

3. Corporal Michael Crescenz Veterans Affairs Medical Center, Philadelphia, PA (M.V., S.M.D.).

4. Department of Epidemiology and Biostatistics, School of Public Health (P.E., V.K., D.G.), Imperial College London, United Kingdom.

5. British Heart Foundation Centre of Research Excellence (P.E., D.G.), Imperial College London, United Kingdom.

6. School of Public Health, Medical Research Council-Public Health England Centre for Environment (P.E.).

7. UK Dementia Research Institute at Imperial College London, United Kingdom (P.E.).

8. Imperial Biomedical Research Centre, Imperial College London and Imperial College NHS Healthcare Trust, United Kingdom (P.E.).

9. Department of Medicine, University of Verona, Italy (A.G., C.F.).

10. Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden (A.G., C.F.).

11. Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt Epidemiology Center (J.N.H., M.M.S.) Vanderbilt University Medical Center, Nashville, TN.

12. Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute (T.L.E.), Vanderbilt University Medical Center, Nashville, TN.

13. Department of Circulation and Medical Imaging, Gemini Center for Sepsis Research, Norwegian University of Science and Technology, Trondheim, Norway (T.R.).

14. Department of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, CT (T.R.).

15. Clinic of Anaesthesia and Intensive Care (T.R.), St. Olav’s Hospital, Trondheim University Hospital, Norway.

16. Department of Endocrinology, Clinic of Medicine (B.O.Å.), St. Olav’s Hospital, Trondheim University Hospital, Norway.

17. Department of Public Health and Nursing, K.G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology (B.O.Å., B.M.B.).

18. Clinic of Thoracic and Occupational Medicine (B.M.B.), St. Olav’s Hospital, Trondheim University Hospital, Norway.

19. Cardiovascular Epidemiology Unit, University of Cambridge, United Kingdom (S.B.).

20. Medical Research Council Biostatistics Unit, University of Cambridge, United Kingdom (S.B.).

21. Munich Cluster for Systems Neurology, Germany (M.D.).

22. German Centre for Neurodegenerative Diseases, Munich, Germany (M.D.).

23. Clinical Pharmacology and Therapeutics Section, Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St George’s, University of London, United Kingdom (D.G.).

24. Clinical Pharmacology Group, Pharmacy and Medicines Directorate, St George’s University Hospitals NHS Foundation Trust, London, United Kingdom (D.G.).

25. Novo Nordisk Research Centre Oxford, Old Road Campus, United Kingdom (D.G.).

Abstract

Observational studies exploring whether there is a nonlinear effect of blood pressure on cardiovascular disease (CVD) risk are hindered by confounding. This limitation can be overcome by leveraging randomly allocated genetic variants in nonlinear Mendelian randomization analyses. Based on their association with blood pressure traits in a genome-wide association study of 299 024 European ancestry individuals, we selected 253 genetic variants to proxy the effect of modifying systolic and diastolic blood pressure. Considering the outcomes of incident coronary artery disease, stroke and the combined outcome of CVD, linear and nonlinear Mendelian randomization analyses were performed on 255 714 European ancestry participants without a history of CVD or antihypertensive medication use. There was no evidence favoring nonlinear relationships of genetically proxied systolic and diastolic blood pressure with the cardiovascular outcomes over linear relationships. For every 10-mm Hg increase in genetically proxied systolic blood pressure, risk of incident CVD increased by 49% (hazard ratio, 1.49 [95% CI, 1.38–1.61]), with similar estimates obtained for coronary artery disease (hazard ratio, 1.50 [95% CI, 1.38–1.63]) and stroke (hazard ratio, 1.44 [95% CI, 1.22–1.70]). Genetically proxied blood pressure had a similar relationship with CVD in men and women. These findings provide evidence to support that even for individuals who do not have elevated blood pressure, public health interventions achieving persistent blood pressure reduction will be of considerable benefit in the primary prevention of CVD.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Internal Medicine

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