Genome-wide association approach identified novel genetic predictors of heart rate response to β-blockers

Mohamed H. Shahin, Daniela J. Conrado, Daniel Gonzalez, Yan Gong, Maximilian T. Lobmeyer, Amber L. Beitelshees, Eric Boerwinkle, John G. Gums, Arlene Chapman, Stephen T. Turner, Rhonda M. Cooper-DeHoff, Julie A. Johnson

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Background--For many indications, the negative chronotropic effect of β-blockers is important to their efficacy, yet the heart rate (HR) response to β-blockers varies. Herein, we sought to use a genome-wide association approach to identify novel single nucleotide polymorphisms (SNPs) associated with HR response to β-blockers. Methods and Results--We first performed 4 genome-wide association analyses for HR response to atenolol (a β1-adrenergic receptor blocker) as: (1) monotherapy or (2) add-on therapy, in 426 whites and 273 blacks separately from the PEAR (Pharmacogenomic Evaluation of Antihypertensive Responses) study. A meta-analysis was then performed between the genomewide association analysis performed in PEAR atenolol monotherapy and add-on therapy, in each race separately, using the inverse variance method assuming fixed effects. From this analysis, SNPs associated with HR response to atenolol at a P < 1E-05 were tested for replication in whites (n=200) and blacks (n=168) treated with metoprolol (a β1-adrenergic receptor blocker). From the genome-wide association meta-analyses, SNP rs17117817 near olfactory receptor family10 subfamily-p-member1 (OR10P1), and SNP rs2364349 in sorting nexin-9 (SNX9) replicated in blacks. The combined studies meta-analysis P values for the rs17117817 and rs2364349 reached genome-wide significance (rs17117817G-allele; Meta-β=5.53 beats per minute, Meta-P=2E-09 and rs2364349 A-allele; Meta-β=3.5 beats per minute, Meta-P=1E-08). Additionally, SNPs in the OR10P1 and SNX9 gene regions were also associated with HR response in whites. Conclusions--This study highlights OR10P1 and SNX9 as novel genes associated with changes in HR in response to β-blockers.

Original languageEnglish (US)
Article numbere006463
JournalJournal of the American Heart Association
Volume7
Issue number5
DOIs
StatePublished - Mar 6 2018

Keywords

  • Atenolol
  • Heart rate
  • Metoprolol
  • Pharmacogenomics
  • β-blockers

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

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    Shahin, M. H., Conrado, D. J., Gonzalez, D., Gong, Y., Lobmeyer, M. T., Beitelshees, A. L., Boerwinkle, E., Gums, J. G., Chapman, A., Turner, S. T., Cooper-DeHoff, R. M., & Johnson, J. A. (2018). Genome-wide association approach identified novel genetic predictors of heart rate response to β-blockers. Journal of the American Heart Association, 7(5), [e006463]. https://doi.org/10.1161/JAHA.117.006463