TY - JOUR
T1 - Gene variants at loci related to blood pressure account for variation in response to antihypertensive drugs between black and white individuals
T2 - Genomic precision medicine may dispense with ethnicity
AU - Iniesta, Raquel
AU - Campbell, Desmond
AU - Venturini, Cristina
AU - Faconti, Luca
AU - Singh, Sonal
AU - Irvin, Marguerite R.
AU - Cooper-Dehoff, Rhonda M.
AU - Johnson, Julie A.
AU - Turner, Stephen T.
AU - Arnett, Donna K.
AU - Weale, Michael E.
AU - Warren, Helen
AU - Munroe, Patricia B.
AU - Cruickshank, Kennedy
AU - Padmanabhan, Sandosh
AU - Lewis, Cathryn
AU - Chowienczyk, Phil
N1 - Funding Information:
This work was performed as part of the Ancestry and biological Informative Markers in stratification of HYpertension stratified medicines programme in hypertension funded by the Medical Research Council and The British Heart Foundation. We also acknowledge support from the Department of Health via a National Institute for Health Research (NIHR) Biomedical Research Centre and Clinical Research Facility award to Guy’s and St Thomas′ NHS Foundation Trust in partnership with King’s College London, and the NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. PEAR and PEAR-2 (Pharmacogenomic Evaluation of Antihypertensive Responses) studies were supported by the National Institute of Health Pharmacogenetics Research Network grant U01-GM074492 and the National Center for Advancing Translational Sciences under the award number UL1 TR000064 (University of Florida); UL1 TR000454 (Emory University); and UL1 TR000135 (Mayo Clinic). GenHAT (Genetics of Hypertension Associated Treatments) study was supported by National Institutes of Health (NIH) Heart, Lung, and Blood Institute grant 5 R01 HL-63082, Genetics of Hypertension Associated Treatment. The ALLHAT Trial (Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial) was supported by a contract with the National Heart, Lung, and Blood Institute. GenHAT genotyping was funded by NIH Heart, Lung, and Blood Institute grant 1R01HL103612.
Publisher Copyright:
© 2019 Lippincott Williams and Wilkins. All rights reserved.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - Selection of antihypertensive treatment according to self-defined ethnicity is recommended by some guidelines but might be better guided by individual genotype rather than ethnicity or race. We compared the extent to which variation in blood pressure response across different ethnicities may be explained by genetic factors: genetically defined ancestry and gene variants at loci known to be associated with blood pressure. We analyzed data from 5 trials in which genotyping had been performed (n=4696) and in which treatment responses to β-blockers, angiotensin-converting enzyme inhibitors, angiotensin receptor blocker, thiazide or thiazide-like diuretic and calcium channel blocker were available. Genetically defined ancestry for proportion of African ancestry was computed using the 1000 genomes population database as a reference. Differences in response to the thiazide diuretic hydrochlorothiazide, the β-blockers atenolol and metoprolol, the angiotensin-converting enzyme inhibitor lisinopril, and the angiotensin receptor blocker candesartan were more closely associated to genetically defined ancestry than self-defined ethnicity in admixed subjects. A relatively small number of gene variants related to loci associated with drug-signaling pathways (KCNK3, SULT1C3, AMH, PDE3A, PLCE1, PRKAG2) with large effect size (-3.5 to +3.5 mm Hg difference in response per allele) and differing allele frequencies in black versus white individuals explained a large proportion of the difference in response to candesartan and hydrochlorothiazide between these groups. These findings suggest that a genomic precision medicine approach can be used to individualize antihypertensive treatment within and across populations without recourse to surrogates of genetic structure such as self-defined ethnicity.
AB - Selection of antihypertensive treatment according to self-defined ethnicity is recommended by some guidelines but might be better guided by individual genotype rather than ethnicity or race. We compared the extent to which variation in blood pressure response across different ethnicities may be explained by genetic factors: genetically defined ancestry and gene variants at loci known to be associated with blood pressure. We analyzed data from 5 trials in which genotyping had been performed (n=4696) and in which treatment responses to β-blockers, angiotensin-converting enzyme inhibitors, angiotensin receptor blocker, thiazide or thiazide-like diuretic and calcium channel blocker were available. Genetically defined ancestry for proportion of African ancestry was computed using the 1000 genomes population database as a reference. Differences in response to the thiazide diuretic hydrochlorothiazide, the β-blockers atenolol and metoprolol, the angiotensin-converting enzyme inhibitor lisinopril, and the angiotensin receptor blocker candesartan were more closely associated to genetically defined ancestry than self-defined ethnicity in admixed subjects. A relatively small number of gene variants related to loci associated with drug-signaling pathways (KCNK3, SULT1C3, AMH, PDE3A, PLCE1, PRKAG2) with large effect size (-3.5 to +3.5 mm Hg difference in response per allele) and differing allele frequencies in black versus white individuals explained a large proportion of the difference in response to candesartan and hydrochlorothiazide between these groups. These findings suggest that a genomic precision medicine approach can be used to individualize antihypertensive treatment within and across populations without recourse to surrogates of genetic structure such as self-defined ethnicity.
KW - antihypertensive agents
KW - blood pressure
KW - ethnic
KW - genotype
KW - groups
KW - pharmacogenetics
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U2 - 10.1161/HYPERTENSIONAHA.118.12177
DO - 10.1161/HYPERTENSIONAHA.118.12177
M3 - Article
C2 - 31327267
AN - SCOPUS:85071345694
SN - 0194-911X
VL - 74
SP - 614
EP - 622
JO - Hypertension
JF - Hypertension
IS - 3
ER -