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Genome-Wide Association Approach Identified Novel Genetic Predictors of Heart Rate Response to ?-Blockers.


ABSTRACT: BACKGROUND:For many indications, the negative chronotropic effect of ?-blockers is important to their efficacy, yet the heart rate (HR) response to ?-blockers varies. Herein, we sought to use a genome-wide association approach to identify novel single nucleotide polymorphisms (SNPs) associated with HR response to ?-blockers. METHODS AND RESULTS:We first performed 4 genome-wide association analyses for HR response to atenolol (a ?1-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 genome-wide 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 ?1-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-?=5.53 beats per minute, Meta-P=2E-09 and rs2364349 A-allele; Meta-?=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 ?-blockers. CLINICAL TRIAL REGISTRATION:URL: http://www.clinicaltrials.gov. Unique identifier: NCT00246519.

SUBMITTER: Shahin MH 

PROVIDER: S-EPMC5866313 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Genome-Wide Association Approach Identified Novel Genetic Predictors of Heart Rate Response to β-Blockers.

Shahin Mohamed H MH   Conrado Daniela J DJ   Gonzalez Daniel D   Gong Yan Y   Lobmeyer Maximilian T MT   Beitelshees Amber L AL   Boerwinkle Eric E   Gums John G JG   Chapman Arlene A   Turner Stephen T ST   Cooper-DeHoff Rhonda M RM   Johnson Julie A JA  

Journal of the American Heart Association 20180224 5


<h4>Background</h4>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.<h4>Methods and results</h4>We first performed 4 genome-wide association analyses for HR response to atenolol (a β1-adrenergic receptor blocker) as: (1) monotherapy o  ...[more]

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