Literature DB >> 18496132

Angiotensinogen and ACE gene polymorphisms and risk of atrial fibrillation in the general population.

Lasse S Ravn1, Marianne Benn, Børge G Nordestgaard, Amar A Sethi, Birgit Agerholm-Larsen, Gorm B Jensen, Anne Tybjaerg-Hansen.   

Abstract

OBJECTIVES: The renin-angiotensin system may play a role in the pathogenesis of atrial fibrillation, and renin-angiotensin system blockers reduce the risk of atrial fibrillation. We hypothesized that polymorphisms in the angiotensinogen and angiotensin-converting enzyme (ACE) genes encoding proteins in this system predict risk of atrial fibrillation. METHODS AND
RESULTS: We genotyped 9235 individuals from the Danish general population, The Copenhagen City Heart Study, for the a-20c, g-6a, T174M, and M235T polymorphisms in the angiotensinogen gene and the insertion/deletion (I/D) polymorphism in the ACE gene; rare allele frequencies were 0.16, 0.40, 0.12, 0.41, and 0.49, respectively. Participants had sinus rhythm at inclusion. During 26 years of follow-up, 968 individuals developed atrial fibrillation. Multifactorially adjusted hazard ratios for atrial fibrillation for a-20c ac and cc versus aa genotype were 1.1(95% confidence interval: 1.0-1.3; P=0.05) and 1.5(1.1-2.1; P=0.01). Compared with double noncarriers (angiotensinogen -20aa and ACE II), double heterozygotes (ac-I/D genotype), and double homozygotes (cc-DD) had hazard ratios for atrial fibrillation of 1.2(0.9-1.6; P=0.06) and 2.4(1.4-4.1; P=0.001). a-20c cc homozygotes above 70 years of age who were overweight, severely hypertensive, and had heart failure, had an absolute 10-year risk of atrial fibrillation of 61%.
CONCLUSION: Angiotensinogen a-20c genotype alone and in combination with ACE I/D genotype predicts an increased risk of atrial fibrillation. Therefore, genetic variation in the renin-angiotensin system may influence effect of renin-angiotensin system blockers on atrial fibrillation.

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Year:  2008        PMID: 18496132     DOI: 10.1097/FPC.0b013e3282fce3bd

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


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