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

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...

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Autores principales: 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., Cooper‐DeHoff, Rhonda M., Johnson, Julie A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5866313/
https://www.ncbi.nlm.nih.gov/pubmed/29478026
http://dx.doi.org/10.1161/JAHA.117.006463
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author 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.
Cooper‐DeHoff, Rhonda M.
Johnson, Julie A.
author_facet 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.
Cooper‐DeHoff, Rhonda M.
Johnson, Julie A.
author_sort Shahin, Mohamed H.
collection PubMed
description 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 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 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. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00246519.
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spelling pubmed-58663132018-03-28 Genome‐Wide Association Approach Identified Novel Genetic Predictors of Heart Rate Response to β‐Blockers 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. Cooper‐DeHoff, Rhonda M. Johnson, Julie A. J Am Heart Assoc Original Research 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 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 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. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00246519. John Wiley and Sons Inc. 2018-02-24 /pmc/articles/PMC5866313/ /pubmed/29478026 http://dx.doi.org/10.1161/JAHA.117.006463 Text en © 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Research
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.
Cooper‐DeHoff, Rhonda M.
Johnson, Julie A.
Genome‐Wide Association Approach Identified Novel Genetic Predictors of Heart Rate Response to β‐Blockers
title Genome‐Wide Association Approach Identified Novel Genetic Predictors of Heart Rate Response to β‐Blockers
title_full Genome‐Wide Association Approach Identified Novel Genetic Predictors of Heart Rate Response to β‐Blockers
title_fullStr Genome‐Wide Association Approach Identified Novel Genetic Predictors of Heart Rate Response to β‐Blockers
title_full_unstemmed Genome‐Wide Association Approach Identified Novel Genetic Predictors of Heart Rate Response to β‐Blockers
title_short Genome‐Wide Association Approach Identified Novel Genetic Predictors of Heart Rate Response to β‐Blockers
title_sort genome‐wide association approach identified novel genetic predictors of heart rate response to β‐blockers
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5866313/
https://www.ncbi.nlm.nih.gov/pubmed/29478026
http://dx.doi.org/10.1161/JAHA.117.006463
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