Open AccessGenome‐Wide Association Approach Identified Novel Genetic Predictors of Heart Rate Response to β‐Blockers
Author(s) -
Shahin Mohamed H.,
Conrado Daniela J.,
Gonzalez Daniel,
Gong Yan,
Lobmeyer Maximilian T.,
Beitelshees Amber L.,
Boerwinkle Eric,
Gums John G.,
Chapman Arlene,
Turner Stephen T.,
CooperDeHoff Rhonda M.,
Johnson Julie A.
Publication year - 2018
Publication title -
journal of the american heart association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.494
H-Index - 85
ISSN - 2047-9980
DOI - 10.1161/jaha.117.006463
Subject(s) - medicine , atenolol , pharmacogenomics , single nucleotide polymorphism , meta analysis , genome wide association study , metoprolol , pharmacogenetics , snp , genetic association , bioinformatics , oncology , genetics , pharmacology , gene , biology , genotype , blood pressure
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.