Volume 24, Issue 1 (April 2017)                   J Birjand Univ Med Sci. 2017, 24(1): 10-18 | Back to browse issues page

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Heidari M M, Ghasemi S, Haji hosseini F, Hadadzadeh M. Comparison of AGTR1 rs5186 (A1166C) Polymorphism between Coronary Artery Disease Patients and Normal Subjects: a Case Control Study. Journals of Birjand University of Medical Sciences 2017; 24 (1) :10-18
URL: http://journal.bums.ac.ir/article-1-2163-en.html
1- Department of Biology, Faculty of Science, Yazd University, Yazd, Iran. , heidarimm@yazd.ac.ir
2- Department of Biology, Faculty of Science, Yazd University, Yazd, Iran.
3- Department of Cardiac Surgery, Afshar Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Abstract:   (11145 Views)

Background and Aim: Coronary artery disease (CAD) is a multifactorial inherited disorder in which the arteries that blood to the heart muscle become hardened and narrowed. We aimed at investigating the role of rs5186 (A1166C) polymorphism the angiotensin II type 1 receptor (AGTR1) gene as risk factors in some Iranian CAD patients.

Materials and Methods: In this case-control study 137 samples were selected from 141 CAD Iranian patients, who had had CABG surgery. Besides, 137 healthy controls matched for age, sex, and ethnicity were taken. After extracting DNA of the blood samples, A1166C AGTR1 gene polymorphism was studied using tetra-primer ARMS-PCR method. The results of a single tube T-ARMS-PCR were validated using DNA sequencing method. For genetic analysis dominant, co-dominant, and recessive models of multiple logistic regression were applied using SPSS software (V: 22).

Results: It was found that 67.4% of the cases belonged to AA genotype, genotypes amounted 26.9% to AC, and 5.7% to CC. A significant association of AGTR1 polymorphisms with CAD was found.

Conclusion: Polymorphism A1166C AGTR1 gene can have an effective role in increasing the risk of coronary artery disease; thus, it can be used in clinical studies.

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Type of Study: Original Article | Subject: Medical Genetics
Received: 2016/08/9 | Accepted: 2017/05/31 | ePublished: 2017/06/11

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