» Articles » PMID: 34231218

Adverse Cardiovascular Outcomes and Antihypertensive Treatment: A Genome-Wide Interaction Meta-Analysis in the International Consortium for Antihypertensive Pharmacogenomics Studies

Abstract

We sought to identify genome-wide variants influencing antihypertensive drug response and adverse cardiovascular outcomes, utilizing data from four randomized controlled trials in the International Consortium for Antihypertensive Pharmacogenomics Studies (ICAPS). Genome-wide antihypertensive drug-single nucleotide polymorphism (SNP) interaction tests for four drug classes (β-blockers, n = 9,195; calcium channel blockers (CCBs), n = 10,511; thiazide/thiazide-like diuretics, n = 3,516; ACE-inhibitors/ARBs, n = 2,559) and cardiovascular outcomes (incident myocardial infarction, stroke, or death) were analyzed among patients with hypertension of European ancestry. Top SNPs from the meta-analyses were tested for replication of cardiovascular outcomes in an independent Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) study (n = 21,267), blood pressure (BP) response in independent ICAPS studies (n = 1,552), and ethnic validation in African Americans from the Genetics of Hypertension Associated Treatment study (GenHAT; n = 5,115). One signal reached genome-wide significance in the β-blocker-SNP interaction analysis (rs139945292, Interaction P = 1.56 × 10 ). rs139945292 was validated through BP response to β-blockers, with the T-allele associated with less BP reduction (systolic BP response P = 6 × 10 , Beta = 3.09, diastolic BP response P = 5 × 10 , Beta = 1.53). The T-allele was also associated with increased adverse cardiovascular risk within the β-blocker treated patients' subgroup (P = 2.35 × 10 , odds ratio = 1.57, 95% confidence interval = 1.23-1.99). The locus showed nominal replication in CHARGE, and consistent directional trends in β-blocker treated African Americans. rs139945292 is an expression quantitative trait locus for the 50 kb upstream gene NTM (neurotrimin). No SNPs attained genome-wide significance for any other drugs classes. Top SNPs were located near CALB1 (CCB), FLJ367777 (ACE-inhibitor), and CES5AP1 (thiazide). The NTM region is associated with increased risk for adverse cardiovascular outcomes and less BP reduction in β-blocker treated patients. Further investigation into this region is warranted.

Citing Articles

Digitalization of hypertension management: a paradigm shift.

Kaur S, Gulati H, Baldi A Naunyn Schmiedebergs Arch Pharmacol. 2024; 397(11):8477-8483.

PMID: 38878087 DOI: 10.1007/s00210-024-03229-x.


Leveraging large-scale biobank EHRs to enhance pharmacogenetics of cardiometabolic disease medications.

Sadler M, Apostolov A, Cevallos C, Ribeiro D, Altman R, Kutalik Z medRxiv. 2024; .

PMID: 38633781 PMC: 11023668. DOI: 10.1101/2024.04.06.24305415.


Genetic insight into putative causes of xanthelasma palpebrarum: a Mendelian randomization study.

Hu W, Liu Y, Lian C, Lu H Front Immunol. 2024; 15:1347112.

PMID: 38601164 PMC: 11004296. DOI: 10.3389/fimmu.2024.1347112.


Antihypertensives associated adverse events: a review of mechanisms and pharmacogenomic biomarkers available evidence in multi-ethnic populations.

Altoum S, Al-Mahayri Z, Ali B Front Pharmacol. 2023; 14:1286494.

PMID: 38108069 PMC: 10722273. DOI: 10.3389/fphar.2023.1286494.


Feasibility of Precision Medicine in Hypertension Management-Scope and Technological Aspects.

Nitzan M, Nitzan I J Pers Med. 2022; 12(11).

PMID: 36573720 PMC: 9698650. DOI: 10.3390/jpm12111861.


References
1.
Ioannidis J . To replicate or not to replicate: the case of pharmacogenetic studies: Have pharmacogenomics failed, or do they just need larger-scale evidence and more replication?. Circ Cardiovasc Genet. 2013; 6(4):413-8. DOI: 10.1161/CIRCGENETICS.113.000106. View

2.
Avery C, Sitlani C, Arking D, Arnett D, Bis J, Boerwinkle E . Drug-gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT interval. Pharmacogenomics J. 2013; 14(1):6-13. PMC: 3766418. DOI: 10.1038/tpj.2013.4. View

3.
Aulchenko Y, Struchalin M, Van Duijn C . ProbABEL package for genome-wide association analysis of imputed data. BMC Bioinformatics. 2010; 11:134. PMC: 2846909. DOI: 10.1186/1471-2105-11-134. View

4.
Chobanian A, Bakris G, Black H, Cushman W, Green L, Izzo Jr J . The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA. 2003; 289(19):2560-72. DOI: 10.1001/jama.289.19.2560. View

5.
McDonough C, Burbage S, Duarte J, Gong Y, Langaee T, Turner S . Association of variants in NEDD4L with blood pressure response and adverse cardiovascular outcomes in hypertensive patients treated with thiazide diuretics. J Hypertens. 2013; 31(4):698-704. PMC: 3756535. DOI: 10.1097/HJH.0b013e32835e2a71. View