| Literature DB >> 23753411 |
Stephen T Turner1, 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.
Abstract
To identify novel genes influencing blood pressure response to thiazide diuretic therapy for hypertension, we conducted genome-wide association meta-analyses of ≈1.1 million single-nucleotide polymorphisms in a combined sample of 424 European Americans with primary hypertension treated with hydrochlorothiazide from the Pharmacogenomic Evaluation of Antihypertensive Responses study (n=228) and the Genetic Epidemiology of Responses to Antihypertensive study (n=196). Polymorphisms associated with blood pressure response at P<10(-5) were tested for replication of the associations in independent samples of hydrochlorothiazide-treated European hypertensives. The rs16960228 polymorphism in protein kinase C, α replicated for same-direction association with diastolic blood pressure response in the Nordic Diltiazem study (n=420) and the Genetics of Drug Responsiveness in Essential Hypertension study (n=206), and the combined 4-study meta-analysis P value achieved genome-wide significance (P=3.3 × 10(-8)). Systolic or diastolic blood pressure responses were consistently greater in carriers of the rs16960228 A allele than in GG homozygotes (>4/4 mm Hg) across study samples. The rs2273359 polymorphism in the GNAS-EDN3 region also replicated for same-direction association with systolic blood pressure response in the Nordic Diltiazem study, and the combined 3-study meta-analysis P value approached genome-wide significance (P=5.5 × 10(-8)). The findings document clinically important effects of genetic variation at novel loci on blood pressure response to a thiazide diuretic, which may be a basis for individualization of antihypertensive drug therapy and identification of new drug targets.Entities:
Keywords: antihypertensive agents; genomics; hydrochlorothiazide; hypertension; pharmacogenomics; protein kinase C
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Year: 2013 PMID: 23753411 PMCID: PMC3780966 DOI: 10.1161/HYPERTENSIONAHA.111.00436
Source DB: PubMed Journal: Hypertension ISSN: 0194-911X Impact factor: 10.190