Literature DB >> 22388798

Gene panels to help identify subgroups at high and low risk of coronary heart disease among those randomized to antihypertensive treatment: the GenHAT study.

Amy I Lynch1, John H Eckfeldt, Barry R Davis, Charles E Ford, Eric Boerwinkle, Catherine Leiendecker-Foster, Donna K Arnett.   

Abstract

OBJECTIVE: To identify panels of genetic variants that predict treatment-related coronary heart disease (CHD) outcomes in hypertensive patients on one of four different classes of initial antihypertensive treatment. The goal was to identify subgroups of individuals on the basis of their genetic profile who benefit most from a particular treatment.
METHODS: Candidate genetic variants (n=78) were genotyped in 39 114 participants from Genetics of Hypertension Associated Treatment study, ancillary to Antihypertensive and Lipid Lowering Treatment to Prevent Heart Attack Trial. Antihypertensive and Lipid Lowering Treatment to Prevent Heart Attack Trial randomized hypertensive participants (≥55 years) to one of four treatments (amlodipine, chlorthalidone, doxazosin, lisinopril). The primary outcome was fatal CHD or nonfatal myocardial infarction (mean follow-up=4.9 years). A pharmacogenetic panel was derived within each of the four treatment groups. Receiver-operating characteristic (ROC) curves estimated the discrimination rate between those with and without a CHD event, on the basis of the addition of the genetic panel risk score.
RESULTS: For each treatment group, we identified a panel of genetic variants that collectively improved the prediction of CHD to a small but statistically significant extent. Chlorthalidone (A): NOS3 rs3918226; SELE rs5361; ICAM1 rs1799969; AGT rs5051; GNAS rs7121; ROC comparison, P=0.004; Amlodipine (B): MMP1 rs1799750; Factor5 (F5) rs6025; NPPA rs5065; PDE4D rs6450512; MMP9 rs2274756; ROC comparison, P=0.006; Lisinopril (C): AGT rs5051; PON1 rs705379; MMP12 rs652438; F12 rs1801020; GP1BA rs6065; PDE4D rs27653; ROC comparison, P=0.01; Doxazosin (D): F2 rs1799963; PAI1 rs1799768; MMP7 rs11568818; AGT rs5051; ACE rs4343; MMP2 rs243865; ROC comparison, P=0.007. Each panel was tested for a pharmacogenetic effect; panels A, B, and D showed such evidence (P=0.009, 0.006, and 0.001, respectively) and panel C did not (P=0.09).
CONCLUSION: Because each panel was associated with CHD in a specific treatment group but not the others, this research provides evidence that it may be possible to use gene panel scores as a tool to better assess antihypertensive treatment choices to reduce CHD risk in hypertensive individuals.

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Year:  2012        PMID: 22388798      PMCID: PMC3325375          DOI: 10.1097/FPC.0b013e3283516ff8

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  18 in total

1.  A multilocus genotyping assay for candidate markers of cardiovascular disease risk.

Authors:  S Cheng; M A Grow; C Pallaud; W Klitz; H A Erlich; S Visvikis; J J Chen; C R Pullinger; M J Malloy; G Siest; J P Kane
Journal:  Genome Res       Date:  1999-10       Impact factor: 9.043

2.  Rationale and design for the Antihypertensive and Lipid Lowering Treatment to Prevent Heart Attack Trial (ALLHAT). ALLHAT Research Group.

Authors:  B R Davis; J A Cutler; D J Gordon; C D Furberg; J T Wright; W C Cushman; R H Grimm; J LaRosa; P K Whelton; H M Perry; M H Alderman; C E Ford; S Oparil; C Francis; M Proschan; S Pressel; H R Black; C M Hawkins
Journal:  Am J Hypertens       Date:  1996-04       Impact factor: 2.689

3.  Major outcomes in high-risk hypertensive patients randomized to angiotensin-converting enzyme inhibitor or calcium channel blocker vs diuretic: The Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT).

Authors: 
Journal:  JAMA       Date:  2002-12-18       Impact factor: 56.272

4.  Major cardiovascular events in hypertensive patients randomized to doxazosin vs chlorthalidone: the antihypertensive and lipid-lowering treatment to prevent heart attack trial (ALLHAT). ALLHAT Collaborative Research Group.

Authors: 
Journal:  JAMA       Date:  2000-04-19       Impact factor: 56.272

5.  Comparison of effects of alpha receptor blockers on endothelial functions and coagulation parameters in patients with benign prostatic hyperplasia.

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Journal:  Urology       Date:  2011-01-22       Impact factor: 2.649

6.  Chlorthalidone improves endothelial-mediated vascular responses in hypertension complicated by nondiabetic metabolic syndrome.

Authors:  Giulia Dell'Omo; Giuseppe Penno; Stefano Del Prato; Roberto Pedrinelli
Journal:  J Cardiovasc Pharmacol Ther       Date:  2005-12       Impact factor: 2.457

7.  Plasma levels of active extracellular matrix metalloproteinases 2 and 9 in patients with essential hypertension before and after antihypertensive treatment.

Authors:  A Zervoudaki; E Economou; C Stefanadis; C Pitsavos; K Tsioufis; C Aggeli; K Vasiliadou; M Toutouza; P Toutouzas
Journal:  J Hum Hypertens       Date:  2003-02       Impact factor: 3.012

8.  Diuretic versus alpha-blocker as first-step antihypertensive therapy: final results from the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT).

Authors: 
Journal:  Hypertension       Date:  2003-08-18       Impact factor: 10.190

9.  Thiazide diuretics, endothelial function, and vascular oxidative stress.

Authors:  Ming-Sheng Zhou; Ivonne Hernandez Schulman; Edgar A Jaimes; Leopoldo Raij
Journal:  J Hypertens       Date:  2008-03       Impact factor: 4.844

10.  Antithrombotic effect of captopril and enalapril in young rats.

Authors:  Włodzimierz Buczko; Andrzej Kubik; Iwona Kucharewicz; Ewa Chabielska
Journal:  Pol J Pharmacol       Date:  2004 Jan-Feb
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  4 in total

Review 1.  Hypertension pharmacogenomics: in search of personalized treatment approaches.

Authors:  Rhonda M Cooper-DeHoff; Julie A Johnson
Journal:  Nat Rev Nephrol       Date:  2015-11-23       Impact factor: 28.314

2.  Pharmacogenomic association of nonsynonymous SNPs in SIGLEC12, A1BG, and the selectin region and cardiovascular outcomes.

Authors:  Caitrin W McDonough; Yan Gong; Sandosh Padmanabhan; Ben Burkley; Taimour Y Langaee; Olle Melander; Carl J Pepine; Anna F Dominiczak; Rhonda M Cooper-Dehoff; Julie A Johnson
Journal:  Hypertension       Date:  2013-05-20       Impact factor: 10.190

3.  Adverse Cardiovascular Outcomes and Antihypertensive Treatment: A Genome-Wide Interaction Meta-Analysis in the International Consortium for Antihypertensive Pharmacogenomics Studies.

Authors:  Caitrin W McDonough; Helen R Warren; John R Jack; Alison A Motsinger-Reif; Nicole D Armstrong; Joshua C Bis; John S House; Sonal Singh; Nihal M El Rouby; Yan Gong; Joesyf C Mychaleckyj; Daniel M Rotroff; Oscar R Benavente; Mark J Caulfield; Alessandrio Doria; Carl J Pepine; Bruce M Psaty; Valeria Glorioso; Nicola Glorioso; Timo P Hiltunen; Kimmo K Kontula; Donna K Arnett; John B Buse; Marguerite R Irvin; Julie A Johnson; Patricia B Munroe; Michael J Wagner; Rhonda M Cooper-DeHoff
Journal:  Clin Pharmacol Ther       Date:  2021-08-15       Impact factor: 6.903

4.  Relationship of renin-angiotensin-aldosterone system polymorphisms and phenotypes to mortality in Chinese coronary atherosclerosis patients.

Authors:  En-Zhi Jia; Zhao-Hong Chen; Feng-Hui An; Li-Hua Li; Chang-Yan Guo; Yan Gu; Zhe Liu; Zhao-Yang Li; Tie-Bing Zhu; Lian-Sheng Wang; Chun-Jian Li; Xiang-Qing Kong; Wen-Zhu Ma; Zhi-Jian Yang
Journal:  Sci Rep       Date:  2014-04-11       Impact factor: 4.379

  4 in total

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