Literature DB >> 22566498

Genomic association analysis identifies multiple loci influencing antihypertensive response to an angiotensin II receptor blocker.

Stephen T Turner1, Kent R Bailey, Gary L Schwartz, Arlene B Chapman, High Seng Chai, Eric Boerwinkle.   

Abstract

To identify genes influencing blood pressure response to an angiotensin II receptor blocker, single nucleotide polymorphisms identified by genome-wide association analysis of the response to candesartan were validated by opposite direction associations with the response to a thiazide diuretic, hydrochlorothiazide. We sampled 198 white and 193 blacks with primary hypertension from opposite tertiles of the race-sex-specific distributions of age-adjusted diastolic blood pressure response to candesartan. There were 285 polymorphisms associated with the response to candesartan at P<10(-4) in whites. A total of 273 of the 285 polymorphisms, which were available for analysis in a separate sample of 196 whites, validated for opposite direction associations with the response to hydrochlorothiazide (Fisher χ(2) 1-sided P=0.02). Among the 273 polymorphisms, those in the chromosome 11q21 region were the most significantly associated with response to candesartan in whites (eg, rs11020821 near FUT4, P=8.98 × 10(-7)), had the strongest opposite direction associations with response to hydrochlorothiazide (eg, rs3758785 in GPR83, P=7.10 × 10(-3)), and had the same direction associations with response to candesartan in the 193 blacks (eg, rs16924603 near FUT4, P=1.52 × 10(-2)). Also notable among the 273 polymorphisms was rs11649420 on chromosome 16 in the amiloride-sensitive sodium channel subunit SCNN1G involved in mediating renal sodium reabsorption and maintaining blood pressure when the renin-angiotensin system is inhibited by candesartan. These results support the use of genomewide association analyses to identify novel genes predictive of opposite direction associations with blood pressure responses to inhibitors of the renin-angiotensin and renal sodium transport systems.

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Year:  2012        PMID: 22566498      PMCID: PMC3530397          DOI: 10.1161/HYP.0b013e31825b30f8

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  37 in total

1.  Plasma renin activity predicts blood pressure responses to beta-blocker and thiazide diuretic as monotherapy and add-on therapy for hypertension.

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

2.  WNK1 kinase polymorphism and blood pressure response to a thiazide diuretic.

Authors:  Stephen T Turner; Gary L Schwartz; Arlene B Chapman; Eric Boerwinkle
Journal:  Hypertension       Date:  2005-09-19       Impact factor: 10.190

3.  Predictors of blood pressure response to the angiotensin receptor blocker candesartan in essential hypertension.

Authors:  Vincent J Canzanello; Evelyn Baranco-Pryor; Frederic Rahbari-Oskoui; Gary L Schwartz; Eric Boerwinkle; Stephen T Turner; Arlene B Chapman
Journal:  Am J Hypertens       Date:  2008-01       Impact factor: 2.689

4.  [Association of polymorphisms in ACE and CYP11B2 genes with antihypertensive effects of hydrochlorothiazide].

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Journal:  Zhonghua Xin Xue Guan Bing Za Zhi       Date:  2005-07

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Review 7.  Pharmacogenomics of blood pressure response to antihypertensive treatment.

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8.  Effect of renin-angiotensin-aldosterone system gene polymorphisms on blood pressure response to antihypertensive treatment.

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9.  Age-race subgroup compared with renin profile as predictors of blood pressure response to antihypertensive therapy. Department of Veterans Affairs Cooperative Study Group on Antihypertensive Agents.

Authors:  R A Preston; B J Materson; D J Reda; D W Williams; R J Hamburger; W C Cushman; R J Anderson
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Authors:  Daniel Levy; Martin G Larson; Emelia J Benjamin; Christopher Newton-Cheh; Thomas J Wang; Shih-Jen Hwang; Ramachandran S Vasan; Gary F Mitchell
Journal:  BMC Med Genet       Date:  2007-09-19       Impact factor: 2.103

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  33 in total

1.  PROX1 gene variant is associated with fasting glucose change after antihypertensive treatment.

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
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Review 2.  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

3.  Protein kinase Cα deletion causes hypotension and decreased vascular contractility.

Authors:  Brandi M Wynne; Cameron G McCarthy; Theodora Szasz; Patrick A Molina; Arlene B Chapman; R Clinton Webb; Janet D Klein; Robert S Hoover
Journal:  J Hypertens       Date:  2018-03       Impact factor: 4.844

Review 4.  Genomics and Pharmacogenomics of Salt-sensitive Hypertension.

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Journal:  Curr Hypertens Rev       Date:  2015

Review 5.  Genome-wide association studies in Africans and African Americans: expanding the framework of the genomics of human traits and disease.

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Journal:  Public Health Genomics       Date:  2014-11-26       Impact factor: 2.000

6.  TET2 and CSMD1 genes affect SBP response to hydrochlorothiazide in never-treated essential hypertensives.

Authors:  Martina Chittani; Roberta Zaninello; Chiara Lanzani; Francesca Frau; Maria F Ortu; Erika Salvi; Giovanni Fresu; Lorena Citterio; Daniele Braga; Daniela A Piras; Simona Delli Carpini; Dinesh Velayutham; Marco Simonini; Giuseppe Argiolas; Simona Pozzoli; Chiara Troffa; Valeria Glorioso; Kimmo K Kontula; Timo P Hiltunen; Kati M Donner; Stephen T Turner; Eric Boerwinkle; Arlene B Chapman; Sandosh Padmanabhan; Anna F Dominiczak; Olle Melander; Julie A Johnson; Rhonda M Cooper-Dehoff; Yan Gong; Natalia V Rivera; Gianluigi Condorelli; Bruno Trimarco; Paolo Manunta; Daniele Cusi; Nicola Glorioso; Cristina Barlassina
Journal:  J Hypertens       Date:  2015-06       Impact factor: 4.844

Review 7.  An update on the pharmacogenetics of treating hypertension.

Authors:  V Fontana; M R Luizon; V C Sandrim
Journal:  J Hum Hypertens       Date:  2014-08-28       Impact factor: 3.012

Review 8.  Genetics of resistant hypertension: a novel pharmacogenomics phenotype.

Authors:  Nihal El Rouby; Rhonda M Cooper-DeHoff
Journal:  Curr Hypertens Rep       Date:  2015-09       Impact factor: 5.369

Review 9.  Research Needs to Improve Hypertension Treatment and Control in African Americans.

Authors:  Paul K Whelton; Paula T Einhorn; Paul Muntner; Lawrence J Appel; William C Cushman; Ana V Diez Roux; Keith C Ferdinand; Mahboob Rahman; Herman A Taylor; Jamy Ard; Donna K Arnett; Barry L Carter; Barry R Davis; Barry I Freedman; Lisa A Cooper; Richard Cooper; Patrice Desvigne-Nickens; Nara Gavini; Alan S Go; David J Hyman; Paul L Kimmel; Karen L Margolis; Edgar R Miller; Katherine T Mills; George A Mensah; Ann M Navar; Gbenga Ogedegbe; Michael K Rakotz; George Thomas; Jonathan N Tobin; Jackson T Wright; Sung Sug Sarah Yoon; Jeffrey A Cutler
Journal:  Hypertension       Date:  2016-09-12       Impact factor: 10.190

10.  Genomic association analysis of common variants influencing antihypertensive response to hydrochlorothiazide.

Authors:  Stephen T Turner; Eric Boerwinkle; Jeffrey R O'Connell; Kent R Bailey; Yan Gong; Arlene B Chapman; Caitrin W McDonough; Amber L Beitelshees; Gary L Schwartz; John G Gums; Sandosh Padmanabhan; Timo P Hiltunen; Lorena Citterio; Kati M Donner; Thomas Hedner; Chiara Lanzani; Olle Melander; Janna Saarela; Samuli Ripatti; Björn Wahlstrand; Paolo Manunta; Kimmo Kontula; Anna F Dominiczak; Rhonda M Cooper-DeHoff; Julie A Johnson
Journal:  Hypertension       Date:  2013-06-10       Impact factor: 10.190

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