Literature DB >> 12090746

An evaluation of the beta-1 adrenergic receptor Arg389Gly polymorphism in individuals at risk of coronary events. A WOSCOPS substudy.

H L White1, A Maqbool, A D McMahon, L Yates, S G Ball, A S Hall, A J Balmforth.   

Abstract

AIMS: The Glycine389 variant of the beta-1 adrenergic receptor generates markedly less cAMP when stimulated in vitro than the more prevalent Arginine389 variant and may confer protection against coronary events similar to that observed with beta-blockers. The aim of this study was to ascertain whether this Glycine389 variant protects against coronary events. METHODS AND
RESULTS: We identified the genotype at position 389 of the beta1AR in 1554 individuals taken from men enrolled in the West of Scotland Coronary Prevention Study. Men with a coronary event (event group) were each matched for age and smoking status with two control subjects from the same cohort who had not had a coronary event (control group). We compared the distribution of genotypes in the event and control groups. Conditional logistic regression was used to calculate odds ratios for each of the genotypes. The prevalence of the three genotypes in the entire cohort was ArgArg 53.5%, ArgGly 39.6%, GlyGly 6.9%. The Arg389Gly beta-1 adrenergic receptor polymorphism was not associated with coronary events. Using the ArgArg genotype as the reference, the odds ratio for the ArgGly genotype was 1.1 (95% CI, 0.88-1.38) and for the GlyGly genotype it was 1.05 (95% CI, 0.68-1.62).
CONCLUSION: Our longitudinal case-control study demonstrates that the Glycine389 variant of the beta-1 adrenergic receptor does not protect against coronary events. Copyright 2002 The European Society of Cardiology. Published by Elsevier Science Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12090746     DOI: 10.1053/euhj.2001.3037

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  12 in total

Review 1.  Beta-adrenoceptor polymorphisms.

Authors:  K Leineweber; R Büscher; H Bruck; O-E Brodde
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2003-11-28       Impact factor: 3.000

Review 2.  Receptor gene polymorphisms: lessons on functional relevance from the beta 1-adrenoceptor.

Authors:  Martin C Michel; Paul A Insel
Journal:  Br J Pharmacol       Date:  2003-01       Impact factor: 8.739

Review 3.  Beta-blocker pharmacogenetics in heart failure.

Authors:  Jaekyu Shin; Julie A Johnson
Journal:  Heart Fail Rev       Date:  2008-04-24       Impact factor: 4.214

Review 4.  Genetics of dilated cardiomyopathy: practical implications for heart failure management.

Authors:  Andrew N Rosenbaum; Katherine E Agre; Naveen L Pereira
Journal:  Nat Rev Cardiol       Date:  2019-10-11       Impact factor: 32.419

Review 5.  The functional significance of genetic variation within the beta-adrenoceptor.

Authors:  A J Sandilands; K M O'Shaughnessy
Journal:  Br J Clin Pharmacol       Date:  2005-09       Impact factor: 4.335

6.  Association of the beta-1 adrenergic receptor carboxyl terminal variants with left ventricular hypertrophy among diabetic and non-diabetic survivors of acute myocardial infarction.

Authors:  Anna E Hakalahti; Jari M Tapanainen; Juhani M Junttila; Kari S Kaikkonen; Heikki V Huikuri; Ulla E Petäjä-Repo
Journal:  Cardiovasc Diabetol       Date:  2010-08-23       Impact factor: 9.951

7.  Association of beta-1 and beta-2 adrenergic receptor gene polymorphisms with myocardial infarction.

Authors:  Akin Yilmaz; Mehmet G Kaya; Ulgen Merdanoglu; Mehmet A Ergun; Atiye Cengel; Sevda Menevse
Journal:  J Clin Lab Anal       Date:  2009       Impact factor: 2.352

8.  beta-adrenergic receptor gene polymorphisms and beta-blocker treatment outcomes in hypertension.

Authors:  M A Pacanowski; Y Gong; R M Cooper-Dehoff; N J Schork; M D Shriver; T Y Langaee; C J Pepine; J A Johnson
Journal:  Clin Pharmacol Ther       Date:  2008-07-09       Impact factor: 6.875

9.  Association between adrenergic receptor genotypes and beta-blocker dose in heart failure patients: analysis from the HF-ACTION DNA substudy.

Authors:  Mona Fiuzat; Megan L Neely; Aijing Z Starr; William E Kraus; G Michael Felker; Mark Donahue; Kirkwood Adams; Ileana L Piña; David Whellan; Christopher M O'Connor
Journal:  Eur J Heart Fail       Date:  2012-10-31       Impact factor: 15.534

Review 10.  Pharmacogenetics of lipid diseases.

Authors:  Jose M Ordovas
Journal:  Hum Genomics       Date:  2004-01       Impact factor: 4.639

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.