The Effect of Genetically Guided Mathematical Prediction and the Blood Pressure Response to Pharmacotherapy in Hypertension Patients
AffiliationUniv Arizona, Dept Genet, Genom Core
MetadataShow full item record
PublisherSAGE PUBLICATIONS LTD
CitationKelley, E. F., Olson, T. P., Curry, T. B., Sprissler, R., & Snyder, E. M. (2019). The Effect of Genetically Guided Mathematical Prediction and the Blood Pressure Response to Pharmacotherapy in Hypertension Patients. Clinical Medicine Insights: Cardiology, 13, 1179546819845883.
RightsCopyright © The Author(s) 2019. Article reuse guidelines:sagepub.com/journals-permissions. Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractPURPOSE: The purpose of this study was to determine the effectiveness of a simple algorithm to mathematically predict a patients' response to blood pressure (BP) therapy using functional genes in the 3 major organ systems involved in hypertension. METHODS: Eighty-six patients with controlled hypertension completed 1 study visit consisting of a buccal swab collection. measurement of office BP, and a medical chart review for BP history. Genes in the analysis included 14 functional alleles in 11 genes. These genotypes were mathematically summed per organ system to determine whether a patient would likely respond to target therapy. RESULTS: Patients recommended to and taking a diuretic had significantly higher rates of control (<120/<80) than patients recommended but not taking this drug class (0.2 +/- 0.1 and 0.03 +/- 0.03, respectively). Furthermore. there was a difference between patients genetically recommended and taking an angiotensin receptor blocker (ARB) vs patients recommended but not taking an ARB for the lowest diastolic blood pressure (DBP) and mean arterial pressure (MAP) recorded in the past 2 years (DBP = 66.2 +/- 2.9 and 75.3 +/- 1.7, MAP = 82.3 +/- 2.8 and 89.3 +/- 1.5, respectively). In addition, there was a nonsignificant trend for greater reductions in Delta SBP, Delta DBP, and Delta MAP in patients on recommended drug class for beta-blockers. diuretics. and angiotensin II receptor blockers vs patients not on these classes. CONCLUSION: The present study suggests that simple mathematical weighting of functional genotypes known to control BP may be ineffective in predicting control. This study demonstrates the need for a more complex. weighted. multigene algorithm to more accurately predict BP therapy response.
NoteOpen access journal
VersionFinal published version
- Retrospective analysis of real-world efficacy of angiotensin receptor blockers versus other classes of antihypertensive agents in blood pressure management.
- Authors: Petrella R, Michailidis P
- Issue date: 2011 Sep
- Blood pressure lowering efficacy of dual alpha and beta blockers for primary hypertension.
- Authors: Wong GW, Laugerotte A, Wright JM
- Issue date: 2015 Aug 26
- Pharmacological interventions for hypertension in children.
- Authors: Chaturvedi S, Lipszyc DH, Licht C, Craig JC, Parekh R
- Issue date: 2014 Feb 1
- Blood pressure lowering efficacy of beta-blockers as second-line therapy for primary hypertension.
- Authors: Chen JM, Heran BS, Perez MI, Wright JM
- Issue date: 2010 Jan 20
- Blood pressure lowering efficacy of beta-1 selective beta blockers for primary hypertension.
- Authors: Wong GW, Boyda HN, Wright JM
- Issue date: 2016 Mar 10