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Genome-Wide and Gene-Based Meta-Analyses Identify Novel Loci Influencing Blood Pressure Response to Hydrochlorothiazide

Abstract

This study aimed to identify novel loci influencing the antihypertensive response to hydrochlorothiazide monotherapy. A genome-wide meta-analysis of blood pressure (BP) response to hydrochlorothiazide was performed in 1739 white hypertensives from 6 clinical trials within the International Consortium for Antihypertensive Pharmacogenomics Studies, making it the largest study to date of its kind. No signals reached genome-wide significance (P<5×10), and the suggestive regions (P<10) were cross-validated in 2 black cohorts treated with hydrochlorothiazide. In addition, a gene-based analysis was performed on candidate genes with previous evidence of involvement in diuretic response, in BP regulation, or in hypertension susceptibility. Using the genome-wide meta-analysis approach, with validation in blacks, we identified 2 suggestive regulatory regions linked to gap junction protein α1 gene (GJA1) and forkhead box A1 gene (FOXA1), relevant for cardiovascular and kidney function. With the gene-based approach, we identified hydroxy-delta-5-steroid dehydrogenase, 3 β- and steroid δ-isomerase 1 gene (HSD3B1) as significantly associated with BP response (P<2.28×10 ). HSD3B1 encodes the 3β-hydroxysteroid dehydrogenase enzyme and plays a crucial role in the biosynthesis of aldosterone and endogenous ouabain. By amassing all of the available pharmacogenomic studies of BP response to hydrochlorothiazide, and using 2 different analytic approaches, we identified 3 novel loci influencing BP response to hydrochlorothiazide. The gene-based analysis, never before applied to pharmacogenomics of antihypertensive drugs to our knowledge, provided a powerful strategy to identify a locus of interest, which was not identified in the genome-wide meta-analysis because of high allelic heterogeneity. These data pave the way for future investigations on new pathways and drug targets to enhance the current understanding of personalized antihypertensive treatment.

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References
1.
Heinzen E, Ge D, Cronin K, Maia J, Shianna K, Gabriel W . Tissue-specific genetic control of splicing: implications for the study of complex traits. PLoS Biol. 2009; 6(12):e1. PMC: 2605930. DOI: 10.1371/journal.pbio.1000001. View

2.
Behr R, Brestelli J, Fulmer J, Miyawaki N, Kleyman T, Kaestner K . Mild nephrogenic diabetes insipidus caused by Foxa1 deficiency. J Biol Chem. 2004; 279(40):41936-41. DOI: 10.1074/jbc.M403354200. View

3.
Tentori S, Messaggio E, Brioni E, Casamassima N, Simonini M, Zagato L . Endogenous ouabain and aldosterone are coelevated in the circulation of patients with essential hypertension. J Hypertens. 2016; 34(10):2074-80. DOI: 10.1097/HJH.0000000000001042. View

4.
Turner S, Boerwinkle E, OConnell J, Bailey K, Gong Y, Chapman A . Genomic association analysis of common variants influencing antihypertensive response to hydrochlorothiazide. Hypertension. 2013; 62(2):391-7. PMC: 3780966. DOI: 10.1161/HYPERTENSIONAHA.111.00436. View

5.
Ward L, Kellis M . HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants. Nucleic Acids Res. 2011; 40(Database issue):D930-4. PMC: 3245002. DOI: 10.1093/nar/gkr917. View