Literature DB >> 26592190

Hypertension pharmacogenomics: in search of personalized treatment approaches.

Rhonda M Cooper-DeHoff1, Julie A Johnson1.   

Abstract

Cardiovascular and renal diseases are associated with many risk factors, of which hypertension is one of the most prevalent. Worldwide, blood pressure control is only achieved in ∼50% of those treated for hypertension, despite the availability of a considerable number of antihypertensive drugs from different pharmacological classes. Although many reasons exist for poor blood pressure control, a likely contributor is the inability to predict to which antihypertensive drug an individual is most likely to respond. Hypertension pharmacogenomics and other 'omics' technologies have the potential to identify genetic signals that are predictive of response or adverse outcome to particular drugs, and guide selection of hypertension treatment for a given individual. Continued research in this field will enhance our understanding of how to maximally deploy the various antihypertensive drug classes to optimize blood pressure response at the individual level. This Review summarizes the available literature on the most convincing genetic signals associated with antihypertensive drug responses and adverse cardiovascular outcomes. Future research in this area will be facilitated by enhancing collaboration between research groups through consortia such as the International Consortium for Antihypertensives Pharmacogenomics Studies, with the goal of translating replicated findings into clinical implementation.

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Year:  2015        PMID: 26592190      PMCID: PMC4778736          DOI: 10.1038/nrneph.2015.176

Source DB:  PubMed          Journal:  Nat Rev Nephrol        ISSN: 1759-5061            Impact factor:   28.314


  108 in total

1.  Genetic variation in the renin--angiotensin system, use of renin--angiotensin system inhibitors and the risk of myocardial infarction.

Authors:  Anke-Hilse Maitland-van der Zee; Diane Bma van Wieren-de Wijer; Anthonius de Boer; Abraham A Kroon; Peter W de Leeuw; Paul Schiffers; Rob Gjh Janssen; Bruce M Psaty; Cornelia M van Duijn; Bruno Hch Stricker; Olaf H Klungel
Journal:  J Renin Angiotensin Aldosterone Syst       Date:  2010-12-16       Impact factor: 1.636

Review 2.  Cardiovascular pharmacogenomics of adrenergic receptor signaling: clinical implications and future directions.

Authors:  J A Johnson; S B Liggett
Journal:  Clin Pharmacol Ther       Date:  2011-02-02       Impact factor: 6.875

3.  Liver X receptor α gene polymorphisms and variable cardiovascular outcomes in patients treated with antihypertensive therapy: results from the INVEST-GENES study.

Authors:  Elvin Tyrone Price; Michael A Pacanowski; Michael A Martin; Rhonda M Cooper-DeHoff; Carl J Pepine; Issam Zineh; Julie A Johnson
Journal:  Pharmacogenet Genomics       Date:  2011-06       Impact factor: 2.089

4.  A functional variant of the NEDD4L gene is associated with beneficial treatment response with β-blockers and diuretics in hypertensive patients.

Authors:  Patrik Svensson-Färbom; Björn Wahlstrand; Peter Almgren; Jonas Dahlberg; Cristiano Fava; Sverre Kjeldsen; Thomas Hedner; Olle Melander
Journal:  J Hypertens       Date:  2011-02       Impact factor: 4.844

5.  Interaction between the Gly460Trp alpha-adducin gene variant and diuretics on the risk of myocardial infarction.

Authors:  Diane B M A van Wieren-de Wijer; Anke-Hilse Maitland-van der Zee; Anthonius de Boer; Abraham A Kroon; Peter W de Leeuw; Paul Schiffers; Rob G J H Janssen; Bruce M Psaty; Cornelia M van Duijn; Bruno H Ch Stricker; Olaf H Klungel
Journal:  J Hypertens       Date:  2009-01       Impact factor: 4.844

6.  Hydrochlorothiazide and atenolol combination antihypertensive therapy: effects of drug initiation order.

Authors:  J A Johnson; Y Gong; K R Bailey; R M Cooper-DeHoff; A B Chapman; S T Turner; G L Schwartz; K Campbell; S Schmidt; A L Beitelshees; E Boerwinkle; J G Gums
Journal:  Clin Pharmacol Ther       Date:  2009-07-01       Impact factor: 6.875

7.  A functional variant of NEDD4L is associated with hypertension, antihypertensive response, and orthostatic hypotension.

Authors:  Fang Luo; Yibo Wang; Xiaojian Wang; Kai Sun; Xianliang Zhou; Rutai Hui
Journal:  Hypertension       Date:  2009-07-27       Impact factor: 10.190

8.  G-protein-coupled receptor kinase 4 polymorphisms and blood pressure response to metoprolol among African Americans: sex-specificity and interactions.

Authors:  Vibha Bhatnagar; Daniel T O'Connor; Victoria H Brophy; Nicholas J Schork; Erin Richard; Rany M Salem; Caroline M Nievergelt; George L Bakris; John P Middleton; Keith C Norris; Jackson Wright; Leena Hiremath; Gabriel Contreras; Lawrence J Appel; Michael S Lipkowitz
Journal:  Am J Hypertens       Date:  2009-01-01       Impact factor: 2.689

9.  Association of hypertension drug target genes with blood pressure and hypertension in 86,588 individuals.

Authors:  Andrew D Johnson; Christopher Newton-Cheh; Daniel I Chasman; Georg B Ehret; Toby Johnson; Lynda Rose; Kenneth Rice; Germaine C Verwoert; Lenore J Launer; Vilmundur Gudnason; Martin G Larson; Aravinda Chakravarti; Bruce M Psaty; Mark Caulfield; Cornelia M van Duijn; Paul M Ridker; Patricia B Munroe; Daniel Levy
Journal:  Hypertension       Date:  2011-03-28       Impact factor: 10.190

10.  Estimation of the warfarin dose with clinical and pharmacogenetic data.

Authors:  T E Klein; R B Altman; N Eriksson; B F Gage; S E Kimmel; M-T M Lee; N A Limdi; D Page; D M Roden; M J Wagner; M D Caldwell; J A Johnson
Journal:  N Engl J Med       Date:  2009-02-19       Impact factor: 91.245

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  26 in total

Review 1.  Essential Characteristics of Pharmacogenomics Study Publications.

Authors:  Caroline F Thorn; Michelle Whirl-Carrillo; Houda Hachad; Julie A Johnson; Ellen M McDonagh; Mark J Ratain; Mary V Relling; Stuart A Scott; Russ B Altman; Teri E Klein
Journal:  Clin Pharmacol Ther       Date:  2019-01       Impact factor: 6.875

Review 2.  Hypertension in 2016: Blood pressure goals, variability and SGLT2 blockade in CKD.

Authors:  Debbie L Cohen; Raymond R Townsend
Journal:  Nat Rev Nephrol       Date:  2016-12-28       Impact factor: 28.314

Review 3.  Personalized medicine: Genetic risk prediction of drug response.

Authors:  Ge Zhang; Daniel W Nebert
Journal:  Pharmacol Ther       Date:  2017-02-14       Impact factor: 12.310

4.  Increasing the Precision of Hypertension Treatment Through Personalized Trials: a Pilot Study.

Authors:  Ian M Kronish; Ying Kuen Cheung; Daichi Shimbo; Jacob Julian; Benjamin Gallagher; Faith Parsons; Karina W Davidson
Journal:  J Gen Intern Med       Date:  2019-03-11       Impact factor: 5.128

5.  Pharmacogenetic Associations of β1-Adrenergic Receptor Polymorphisms With Cardiovascular Outcomes in the SPS3 Trial (Secondary Prevention of Small Subcortical Strokes).

Authors:  Oyunbileg Magvanjav; Caitrin W McDonough; Yan Gong; Leslie A McClure; Robert L Talbert; Richard B Horenstein; Alan R Shuldiner; Oscar R Benavente; Braxton D Mitchell; Julie A Johnson
Journal:  Stroke       Date:  2017-03-28       Impact factor: 7.914

Review 6.  Genome-Wide and Gene-Based Meta-Analyses Identify Novel Loci Influencing Blood Pressure Response to Hydrochlorothiazide.

Authors:  Erika Salvi; Zhiying Wang; Federica Rizzi; Yan Gong; Caitrin W McDonough; Sandosh Padmanabhan; Timo P Hiltunen; Chiara Lanzani; Roberta Zaninello; Martina Chittani; Kent R Bailey; Antti-Pekka Sarin; Matteo Barcella; Olle Melander; Arlene B Chapman; Paolo Manunta; Kimmo K Kontula; Nicola Glorioso; Daniele Cusi; Anna F Dominiczak; Julie A Johnson; Cristina Barlassina; Eric Boerwinkle; Rhonda M Cooper-DeHoff; Stephen T Turner
Journal:  Hypertension       Date:  2016-10-31       Impact factor: 10.190

7.  Pharmacogenetics in Cardiovascular Medicine.

Authors:  Sony Tuteja; Nita Limdi
Journal:  Curr Genet Med Rep       Date:  2016-06-16

8.  Genetic factors contributing to hypertension in African-based populations: A systematic review and meta-analysis.

Authors:  Yandiswa Y Yako; Eric V Balti; Tandi E Matsha; Anastase Dzudie; Deirdre Kruger; Eugene Sobngwi; Charles Agyemang; Andre P Kengne
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-03-09       Impact factor: 3.738

9.  Association of West African ancestry and blood pressure control among African Americans taking antihypertensive medication in the Jackson Heart Study.

Authors:  Jon C Van Tassell; Daichi Shimbo; Rachel Hess; Rick Kittles; James G Wilson; Lynn B Jorde; Man Li; Leslie A Lange; Ethan M Lange; Paul Muntner; Adam P Bress
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-02-12       Impact factor: 3.738

10.  Targeted sequencing identifies a missense variant in the BEST3 gene associated with antihypertensive response to hydrochlorothiazide.

Authors:  Sonal Singh; Zhiying Wang; Mohamed H Shahin; Taimour Y Langaee; Yan Gong; Stephen T Turner; Arlene B Chapman; John G Gums; Caitrin W McDonough; Kent R Bailey; Amber L Beitelshees; Rhonda M Cooper-DeHoff; Steve Scherer; Eric Boerwinkle; Julie A Johnson
Journal:  Pharmacogenet Genomics       Date:  2018-11       Impact factor: 2.089

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