BACKGROUND: Three-gene interactions among the genetic polymorphisms of the renin-angiotensin system (RAS) associated with acute myocardial infarction (AMI) have not been examined in a single population. We hypothesized that all types of gene-to-gene associations may occur in AMI, but that some will have a higher risk, depending on the gene frequencies. METHODS: Polymorphisms of the AGT (M235T), ACE (I/D) and AGTR1 (A1166C) genes in AMI patients and controls were analyzed using the polymerase chain reaction. Classic coronary risk factors were analyzed in all individuals. RESULTS: Logistic regression analysis of these factors and the genetic polymorphisms demonstrated that smoking, family history of CAD, arterial hypertension and total cholesterol were the most significant contributors to AMI. The genotypic frequencies for all three genes alone were similar between the infarction and control groups, with no increased risk of developing AMI. Double homozygous combinations for normal alleles (MM of AGT, II of ACE and AA of AGTR1) had a lower risk of AMI (odds ratio<0.38), indicating a protective effect in these individuals. In genotypic combinations that included at least one unfavorable allele, the risk (odds ratio) of developing AMI was 2.92, 2.63 and 2.68 for AGT vs. ACE, AGT vs. ATR1 and ACE vs. AGTR1, respectively. The positive interaction among the three genes and the risk of AMI had an odds ratio of 3.78 with a 95% CI of 0.88-12.85. CONCLUSIONS: The risk of developing AMI is higher whenever there are unfavorable alleles in gene-to-gene associations in the RAS.
BACKGROUND: Three-gene interactions among the genetic polymorphisms of the renin-angiotensin system (RAS) associated with acute myocardial infarction (AMI) have not been examined in a single population. We hypothesized that all types of gene-to-gene associations may occur in AMI, but that some will have a higher risk, depending on the gene frequencies. METHODS: Polymorphisms of the AGT (M235T), ACE (I/D) and AGTR1 (A1166C) genes in AMI patients and controls were analyzed using the polymerase chain reaction. Classic coronary risk factors were analyzed in all individuals. RESULTS: Logistic regression analysis of these factors and the genetic polymorphisms demonstrated that smoking, family history of CAD, arterial hypertension and total cholesterol were the most significant contributors to AMI. The genotypic frequencies for all three genes alone were similar between the infarction and control groups, with no increased risk of developing AMI. Double homozygous combinations for normal alleles (MM of AGT, II of ACE and AA of AGTR1) had a lower risk of AMI (odds ratio<0.38), indicating a protective effect in these individuals. In genotypic combinations that included at least one unfavorable allele, the risk (odds ratio) of developing AMI was 2.92, 2.63 and 2.68 for AGT vs. ACE, AGT vs. ATR1 and ACE vs. AGTR1, respectively. The positive interaction among the three genes and the risk of AMI had an odds ratio of 3.78 with a 95% CI of 0.88-12.85. CONCLUSIONS: The risk of developing AMI is higher whenever there are unfavorable alleles in gene-to-gene associations in the RAS.
Authors: Raul R Blanco; Harland Austin; Richard N Vest; Ravinder Valadri; Wei Li; Bernard Lassegue; Qing Song; Barry London; Samuel C Dudley; Heather L Bloom; Charles D Searles; A Maziar Zafari Journal: J Card Fail Date: 2012-08-09 Impact factor: 5.712
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Authors: Mohammad Hadi Zafarmand; Yvonne T van der Schouw; Diederick E Grobbee; Peter W de Leeuw; Michiel L Bots Journal: PLoS One Date: 2008-06-25 Impact factor: 3.240
Authors: Muntaser D Musameh; William Y S Wang; Christopher P Nelson; Carla Lluís-Ganella; Radoslaw Debiec; Isaac Subirana; Roberto Elosua; Anthony J Balmforth; Stephen G Ball; Alistair S Hall; Sekar Kathiresan; John R Thompson; Gavin Lucas; Nilesh J Samani; Maciej Tomaszewski Journal: PLoS One Date: 2015-02-06 Impact factor: 3.240