Literature DB >> 15174896

Pharmacogenetics of antihypertensive drug responses.

Gary L Schwartz1, Stephen T Turner.   

Abstract

The blood pressure (BP) response to any single antihypertensive drug is characterized by marked interindividual variation, and the known predictors of response are of limited value in identifying the optimum drug for an individual patient. Analysis of genetic variation has the potential to improve our understanding of determinants of antihypertensive drug response in order to individualize drug selection. Genetic variation can influence both pharmacokinetic and pharmacodynamic mechanisms underlying variation in drug response. Classic pharmacogenetic investigations have identified variations in single genes that have a large effect on antihypertensive drug metabolism and are inherited in a Mendelian fashion. These include a polymorphism in the CYP2D6 gene, encoding a cytochrome p450 family member involved in phase I drug metabolism, and polymorphisms in genes encoding enzymes involved in phase II drug metabolism, including N-acetyltransferase (NAT2), catechol-O-methyltransferase (COMT), and phenol sulfotransferase (P-PST, SULT1A1). Although these polymorphisms have major effects on the pharmacokinetic profiles of both commonly used antihypertensive drugs such as metoprolol (CYP2D6), and lesser used drugs such as hydralazine (NAT2), methyldopa (COMT), and minoxidil (SULT1A1), they have not been shown to influence variation in the antihypertensive effect of these drugs at conventional doses. Interest is now focused on identifying genetic polymorphisms that influence the pharmacodynamic determinants of antihypertensive response. Using a candidate gene approach, such polymorphisms have been identified in genes encoding alpha-adducin (ADD1), subunits of G-proteins (GNB3 and GNAS1), the beta(1)-adrenergic receptor (ADRB1), endothelial nitric oxide synthase (NOS3), and components of the renin-angiotensin-aldosterone system (angiotensinogen [AGT], angiotensin converting enzyme [ACE], the angiotensin type I receptor [AGTR1], and aldosterone synthase [CYP11B2]). These polymorphisms have been shown to influence the BP response to diuretics (ADD1, GNB3, NOS3, and ACE), beta-blockers (GNAS1 and ADRB1), ACE inhibitors (AGT, ACE, and AGTR1), angiotensin receptor blockers (ACE and CYP11B2), and clonidine (GNB3).An emerging consensus from these studies is that single gene effects on antihypertensive drug responses are small, and even the combined effects of all presently known polymorphisms do not account for enough variation in response to be clinically useful. New genome-wide scanning techniques may lead to the identification of genes previously unsuspected of influencing drug response. Additional requirements for pharmacogenetic approaches to become clinically useful are the characterization of the effects of haplotypes and multi-locus genotypes on drug response, and consideration of gene-by-environment interactions. Such studies will require huge sample sizes and novel statistical methods, but the theoretical and technical framework is in place to make this possible.

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Year:  2004        PMID: 15174896     DOI: 10.2165/00129785-200404030-00002

Source DB:  PubMed          Journal:  Am J Pharmacogenomics        ISSN: 1175-2203


  10 in total

Review 1.  Pharmacogenetics in drug regulation: promise, potential and pitfalls.

Authors:  Rashmi R Shah
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-08-29       Impact factor: 6.237

Review 2.  Personalized medicine for high blood pressure.

Authors:  Stephen T Turner; Gary L Schwartz; Eric Boerwinkle
Journal:  Hypertension       Date:  2007-04-30       Impact factor: 10.190

3.  Complex haplotypes derived from noncoding polymorphisms of the intronless alpha2A-adrenergic gene diversify receptor expression.

Authors:  Kersten M Small; Kari M Brown; Carrie A Seman; Cheryl T Theiss; Stephen B Liggett
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-27       Impact factor: 11.205

Review 4.  Pharmacogenetics of antihypertensive treatment: detailing disciplinary dissonance.

Authors:  Donna K Arnett; Steven A Claas
Journal:  Pharmacogenomics       Date:  2009-08       Impact factor: 2.533

Review 5.  CYP3A5 polymorphism, amlodipine and hypertension.

Authors:  Y-P Zhang; X-C Zuo; Z-J Huang; J-J Cai; J Wen; D D Duan; H Yuan
Journal:  J Hum Hypertens       Date:  2013-07-18       Impact factor: 3.012

6.  Endothelial nitric oxide synthase (eNOS) variants in cardiovascular disease: pharmacogenomic implications.

Authors:  Manjula Bhanoori
Journal:  Indian J Med Res       Date:  2011-05       Impact factor: 2.375

7.  Multilevel analysis of systolic blood pressure and ACE gene I/D polymorphism in 438 Swedish families--a public health perspective.

Authors:  Juan Merlo; Kristina Bengtsson-Boström; Ulf Lindblad; Lennart Råstam; Olle Melander
Journal:  BMC Med Genet       Date:  2006-03-01       Impact factor: 2.103

8.  Genetic variation in aryl N-acetyltransferase results in significant differences in the pharmacokinetic and safety profiles of amifampridine (3,4-diaminopyridine) phosphate.

Authors:  Peter E Haroldsen; Marvin R Garovoy; Donald G Musson; Huiyu Zhou; Laurie Tsuruda; Boyd Hanson; Charles A O'Neill
Journal:  Pharmacol Res Perspect       Date:  2014-12-09

Review 9.  Why do hypertensive patients of African ancestry respond better to calcium blockers and diuretics than to ACE inhibitors and β-adrenergic blockers? A systematic review.

Authors:  Lizzy M Brewster; Yackoob K Seedat
Journal:  BMC Med       Date:  2013-05-30       Impact factor: 8.775

10.  The Finnish Cardiovascular Study (FINCAVAS): characterising patients with high risk of cardiovascular morbidity and mortality.

Authors:  Tuomo Nieminen; Rami Lehtinen; Jari Viik; Terho Lehtimäki; Kari Niemelä; Kjell Nikus; Mari Niemi; Janne Kallio; Tiit Kööbi; Väinö Turjanmaa; Mika Kähönen
Journal:  BMC Cardiovasc Disord       Date:  2006-03-03       Impact factor: 2.298

  10 in total

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