BACKGROUND: Selection of antihypertensive therapy is often empiric, and use of genetic information to guide drug therapy selection holds future promise. TRIAL DESIGN: The objective of this trial is to identify the genetic determinants of the antihypertensive and adverse metabolic responses to a thiazide diuretic (hydrochlorothiazide), a beta-blocker (atenolol), and their combination. This will be accomplished through candidate gene and genome-wide association approaches. Individuals with uncomplicated hypertension (N = 800), with ages 17 and 65 years, are being enrolled. Current antihypertensive therapy is discontinued, and hypertension is confirmed, along with collection of other baseline data. Subjects are then randomized to either hydrochlorothiazide or atenolol, with 1 dose titration step, followed by assessment of response to therapy after at least 6 weeks on the target dose. Those with blood pressure >120/70 mm Hg have the second drug added, with similar dose titration and response assessment procedures. Data collected include home, office, and 24-hour ambulatory blood pressure. Biological samples collected in the fasting state include plasma, serum, DNA (buffy coat), and urine. Epstein-Barr virus transformed lymphocyte cell lines are also being created. CONCLUSIONS: Pharmacogenetic-guided therapy holds clinical potential for hypertension, but the literature in the field is limited. This trial will add substantially to our understanding of the genetic determinants of antihypertensive and adverse metabolic responses to 2 commonly used antihypertensive drug classes.
RCT Entities:
BACKGROUND: Selection of antihypertensive therapy is often empiric, and use of genetic information to guide drug therapy selection holds future promise. TRIAL DESIGN: The objective of this trial is to identify the genetic determinants of the antihypertensive and adverse metabolic responses to a thiazide diuretic (hydrochlorothiazide), a beta-blocker (atenolol), and their combination. This will be accomplished through candidate gene and genome-wide association approaches. Individuals with uncomplicated hypertension (N = 800), with ages 17 and 65 years, are being enrolled. Current antihypertensive therapy is discontinued, and hypertension is confirmed, along with collection of other baseline data. Subjects are then randomized to either hydrochlorothiazide or atenolol, with 1 dose titration step, followed by assessment of response to therapy after at least 6 weeks on the target dose. Those with blood pressure >120/70 mm Hg have the second drug added, with similar dose titration and response assessment procedures. Data collected include home, office, and 24-hour ambulatory blood pressure. Biological samples collected in the fasting state include plasma, serum, DNA (buffy coat), and urine. Epstein-Barr virus transformed lymphocyte cell lines are also being created. CONCLUSIONS: Pharmacogenetic-guided therapy holds clinical potential for hypertension, but the literature in the field is limited. This trial will add substantially to our understanding of the genetic determinants of antihypertensive and adverse metabolic responses to 2 commonly used antihypertensive drug classes.
Authors: Denis L Clement; Marc L De Buyzere; Dirk A De Bacquer; Peter W de Leeuw; Daniel A Duprez; Robert H Fagard; Peter J Gheeraert; Luc H Missault; Jacob J Braun; Roland O Six; Patricia Van Der Niepen; Eoin O'Brien Journal: N Engl J Med Date: 2003-06-12 Impact factor: 91.245
Authors: Amber L Beitelshees; Issam Zineh; Hossein N Yarandi; Daniel F Pauly; Julie A Johnson Journal: Pharmacotherapy Date: 2006-09 Impact factor: 4.705
Authors: Björn Dahlöf; Peter S Sever; Neil R Poulter; Hans Wedel; D Gareth Beevers; Mark Caulfield; Rory Collins; Sverre E Kjeldsen; Arni Kristinsson; Gordon T McInnes; Jesper Mehlsen; Markku Nieminen; Eoin O'Brien; Jan Ostergren Journal: Lancet Date: 2005 Sep 10-16 Impact factor: 79.321
Authors: Javier Daniel Finkielman; Gary L Schwartz; Arlene B Chapman; Eric Boerwinkle; Stephen T Turner Journal: Am J Hypertens Date: 2005-03 Impact factor: 2.689
Authors: T Ohkubo; Y Imai; I Tsuji; K Nagai; J Kato; N Kikuchi; A Nishiyama; A Aihara; M Sekino; M Kikuya; S Ito; H Satoh; S Hisamichi Journal: J Hypertens Date: 1998-07 Impact factor: 4.844
Authors: G S Stergiou; S P Efstathiou; I I Skeva; N M Baibas; C B Kalkana; T D Mountokalakis Journal: J Hum Hypertens Date: 2002-10 Impact factor: 3.012
Authors: Aram V Chobanian; George L Bakris; Henry R Black; William C Cushman; Lee A Green; Joseph L Izzo; Daniel W Jones; Barry J Materson; Suzanne Oparil; Jackson T Wright; Edward J Roccella Journal: JAMA Date: 2003-05-14 Impact factor: 56.272
Authors: Stephen T Turner; Gary L Schwartz; Arlene B Chapman; Amber L Beitelshees; John G Gums; Rhonda M Cooper-DeHoff; Eric Boerwinkle; Julie A Johnson; Kent R Bailey Journal: Am J Hypertens Date: 2010-08-19 Impact factor: 2.689
Authors: Liming Weng; Eoin Quinlivan; Yan Gong; Amber L Beitelshees; Mohamed H Shahin; Stephen T Turner; Arlene B Chapman; John G Gums; Julie A Johnson; Reginald F Frye; Timothy J Garrett; Rhonda M Cooper-DeHoff Journal: Metab Syndr Relat Disord Date: 2015-02-09 Impact factor: 1.894
Authors: Caitrin W McDonough; Oyunbileg Magvanjav; Ana C C Sá; Nihal M El Rouby; Chintan Dave; Amelia N Deitchman; Marina Kawaguchi-Suzuki; Wenbin Mei; Yong Shen; Ravi Shankar Prasad Singh; Mohamed Solayman; Kent R Bailey; Eric Boerwinkle; Arlene B Chapman; John G Gums; Amy Webb; Steven E Scherer; Wolfgang Sadee; Stephen T Turner; Rhonda M Cooper-DeHoff; Yan Gong; Julie A Johnson Journal: Circ Genom Precis Med Date: 2018-04
Authors: Yan Gong; Caitrin W McDonough; Amber L Beitelshees; Jason H Karnes; Jeffrey R O'Connell; Stephen T Turner; Arlene B Chapman; John G Gums; Kent R Bailey; Eric Boerwinkle; Julie A Johnson; Rhonda M Cooper-DeHoff Journal: Pharmacotherapy Date: 2013-10-09 Impact factor: 4.705
Authors: Liming Weng; Yan Gong; Jeffrey Culver; Stephen J Gardell; Christopher Petucci; Alison M Morse; Reginald F Frye; Stephen T Turner; Arlene Chapman; Eric Boerwinkle; John Gums; Amber L Beitelshees; Peggy R Borum; Julie A Johnson; Timothy J Garrett; Lauren M McIntyre; Rhonda M Cooper-DeHoff Journal: Metabolomics Date: 2016-09-15 Impact factor: 4.290
Authors: Jian Yang; Laureano D Asico; Amber L Beitelshees; Jun B Feranil; Xiaoyan Wang; John E Jones; Ines Armando; Santiago G Cuevas; Gary L Schwartz; John G Gums; Arlene B Chapman; Stephen T Turner; Eric Boerwinkle; Rhonda M Cooper-DeHoff; Julie A Johnson; Robin A Felder; Edward J Weinman; Chunyu Zeng; Pedro A Jose; Van Anthony M Villar Journal: FASEB J Date: 2020-04-15 Impact factor: 5.191
Authors: J H Karnes; C W McDonough; Y Gong; T T Vo; T Y Langaee; A B Chapman; J G Gums; A L Beitelshees; K R Bailey; J L Del-Aguila; E A Boerwinkle; C J Pepine; S T Turner; J A Johnson; R M Cooper-DeHoff Journal: Pharmacogenomics J Date: 2012-08-21 Impact factor: 3.550