Salvi Erika, Wang Zhiying, Rizzi Federica, Gong Yan, McDonough Caitrin W, Padmanabhan Sandosh, Hiltunen Timo P, Lanzani Chiara, Zaninello Roberta, Chittani Martina, Bailey Kent R, Sarin Antti-Pekka, Barcella Matteo, Melander Olle, Chapman Arlene B, Manunta Paolo, Kontula Kimmo K, Glorioso Nicola, Cusi Daniele, Dominiczak Anna F, Johnson Julie A, Barlassina Cristina, Boerwinkle Eric, Cooper-DeHoff Rhonda M, Turner Stephen T
From the Department of Health Sciences, University of Milan, Italy (E.S., F.R., M.C., M.B., C.B.); Human Genetics and Institute of Molecular Medicine, University of Texas Health Science Center, Houston (Z.W., E.B.); Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics, College of Pharmacy (Y.G., C.W.M., J.A.J., R.M.C.-D.) and Division of Cardiovascular Medicine, Department of Medicine (J.A.J., R.M.C.-D.), University of Florida, Gainesville; Institute of Cardiovascular and Medical Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, United Kingdom (S.P., A.F.D.); Department of Medicine, University of Helsinki and Helsinki University Hospital, Finland (T.P.H., K.K.K.); Nephrology and Dialysis and Hypertension Unit, San Raffaele Scientific Institute, Università Vita Salute San Raffaele, Milano, Italy (C.L., P.M.); Hypertension and Related Disease Centre, AOU-University of Sassari, Italy (R.Z., N.G.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Internal Medicine (S.T.T.), Mayo Clinic, Rochester, Minnesota; Institute for Molecular Medicine Finland FIMM, University of Helsinki, Finland (A.-P.S); Department of Clinical Sciences, Lund University, Malmö, Sweden (O.M.); Section of Nephrology, Department of Medicine, University of Chicago, Illinois (A.B.C.); Institute of Biomedical Technologies, National Research Centre of Italy, Segrate, Milan, Italy (D.C.); and Sanipedia srl, Bresso, Italy (D.C.).
Hypertension. 2017 Jan;69(1):51-59. doi: 10.1161/HYPERTENSIONAHA.116.08267. Epub 2016 Oct 31.
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.
本研究旨在确定影响氢氯噻嗪单药治疗降压反应的新基因座。国际抗高血压药物基因组学研究联盟的6项临床试验对1739名白人高血压患者进行了氢氯噻嗪血压(BP)反应的全基因组荟萃分析,使其成为迄今为止同类研究中规模最大的研究。没有信号达到全基因组显著性水平(P<5×10),并且在2个接受氢氯噻嗪治疗的黑人队列中对提示性区域(P<10)进行了交叉验证。此外,对先前有证据表明参与利尿反应、血压调节或高血压易感性的候选基因进行了基于基因的分析。使用全基因组荟萃分析方法,并在黑人中进行验证,我们确定了2个与间隙连接蛋白α1基因(GJA1)和叉头框A1基因(FOXA1)相关的提示性调控区域,它们与心血管和肾脏功能有关。通过基于基因的方法,我们确定羟基-δ-5-类固醇脱氢酶、3β-和类固醇δ-异构酶1基因(HSD3B1)与血压反应显著相关(P<2.28×10)。HSD3B1编码3β-羟基类固醇脱氢酶,在醛固酮和内源性哇巴因的生物合成中起关键作用。通过汇总所有现有的关于氢氯噻嗪血压反应的药物基因组学研究,并使用2种不同的分析方法,我们确定了3个影响氢氯噻嗪血压反应的新基因座。据我们所知,基于基因的分析从未应用于抗高血压药物的药物基因组学,它提供了一种强大的策略来识别感兴趣的基因座,由于高等位基因异质性,该基因座在全基因组荟萃分析中未被识别。这些数据为未来关于新途径和药物靶点的研究铺平了道路,以增进目前对个性化抗高血压治疗的理解。