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Large-scale gene-centric analysis identifies polymorphisms for resistant hypertension.

ABSTRACT: BACKGROUND:Resistant hypertension (RHTN), defined by lack of blood pressure (BP) control despite treatment with at least 3 antihypertensive drugs, increases cardiovascular risk compared with controlled hypertension. Yet, there are few data on genetic variants associated with RHTN. METHODS AND RESULTS:We used a gene-centric array containing ?50 000 single-nucleotide polymorphisms (SNPs) to identify polymorphisms associated with RHTN in hypertensive participants with coronary artery disease (CAD) from INVEST-GENES (the INnternational VErapamil-SR Trandolapril STudy-GENEtic Substudy). RHTN was defined as BP?140/90 on 3 drugs, or any BP on 4 or more drugs. Logistic regression analysis was performed in European Americans (n=904) and Hispanics (n=837), using an additive model adjusted for age, gender, randomized treatment assignment, body mass index, principal components for ancestry, and other significant predictors of RHTN. Replication of the top SNP was conducted in 241 European American women from WISE (Women's Ischemia Syndrome Evaluation), where RHTN was defined similarly. To investigate the functional effect of rs12817819, mRNA expression was measured in whole blood. We found ATP2B1 rs12817819 associated with RHTN in both INVEST European Americans (P-value=2.44×10(-3), odds ratio=1.57 [1.17 to 2.01]) and INVEST Hispanics (P=7.69×10(-4), odds ratio=1.76 [1.27 to 2.44]). A consistent trend was observed at rs12817819 in WISE, and the INVEST-WISE meta-analysis result reached chip-wide significance (P=1.60×10(-6), odds ratio=1.65 [1.36 to 1.95]). Expression analyses revealed significant differences in ATP2B1 expression by rs12817819 genotype. CONCLUSIONS:The ATP2B1 rs12817819 A allele is associated with increased risk for RHTN in hypertensive participants with documented CAD or suspected ischemic heart disease. CLINICAL TRIAL REGISTRATION URL:www.clinicaltrials.gov; Unique identifiers: NCT00133692 (INVEST), NCT00000554 (WISE).

SUBMITTER: Fontana V

PROVIDER: S-EPMC4338734 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

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Large-scale gene-centric analysis identifies polymorphisms for resistant hypertension.

Fontana Vanessa V McDonough Caitrin W CW Gong Yan Y El Rouby Nihal M NM Sá Ana Caroline C AC Taylor Kent D KD Chen Y-D Ida YD Gums John G JG Chapman Arlene B AB Turner Stephen T ST Pepine Carl J CJ Johnson Julie A JA Cooper-DeHoff Rhonda M RM

Journal of the American Heart Association 20141110 6

<h4>Background</h4>Resistant hypertension (RHTN), defined by lack of blood pressure (BP) control despite treatment with at least 3 antihypertensive drugs, increases cardiovascular risk compared with controlled hypertension. Yet, there are few data on genetic variants associated with RHTN.<h4>Methods and results</h4>We used a gene-centric array containing ≈50 000 single-nucleotide polymorphisms (SNPs) to identify polymorphisms associated with RHTN in hypertensive participants with coronary artery ...[more]

PMID: 25385345

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Project description:Coronary artery disease (CAD) has a significant genetic contribution that is incompletely characterized. To complement genome-wide association (GWA) studies, we conducted a large and systematic candidate gene study of CAD susceptibility, including analysis of many uncommon and functional variants. We examined 49,094 genetic variants in ∼2,100 genes of cardiovascular relevance, using a customised gene array in 15,596 CAD cases and 34,992 controls (11,202 cases and 30,733 controls of European descent; 4,394 cases and 4,259 controls of South Asian origin). We attempted to replicate putative novel associations in an additional 17,121 CAD cases and 40,473 controls. Potential mechanisms through which the novel variants could affect CAD risk were explored through association tests with vascular risk factors and gene expression. We confirmed associations of several previously known CAD susceptibility loci (eg, 9p21.3:p<10(-33); LPA:p<10(-19); 1p13.3:p<10(-17)) as well as three recently discovered loci (COL4A1/COL4A2, ZC3HC1, CYP17A1:p<5×10(-7)). However, we found essentially null results for most previously suggested CAD candidate genes. In our replication study of 24 promising common variants, we identified novel associations of variants in or near LIPA, IL5, TRIB1, and ABCG5/ABCG8, with per-allele odds ratios for CAD risk with each of the novel variants ranging from 1.06-1.09. Associations with variants at LIPA, TRIB1, and ABCG5/ABCG8 were supported by gene expression data or effects on lipid levels. Apart from the previously reported variants in LPA, none of the other ∼4,500 low frequency and functional variants showed a strong effect. Associations in South Asians did not differ appreciably from those in Europeans, except for 9p21.3 (per-allele odds ratio: 1.14 versus 1.27 respectively; P for heterogeneity = 0.003). This large-scale gene-centric analysis has identified several novel genes for CAD that relate to diverse biochemical and cellular functions and clarified the literature with regard to many previously suggested genes.

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Large-scale gene-centric analysis identifies polymorphisms for resistant hypertension.

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Large-scale gene-centric analysis identifies polymorphisms for resistant hypertension.

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