Title |
ADRB2 polymorphisms predict the risk of myocardial infarction and coronary artery disease
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Published in |
Genetics and Molecular Biology, November 2015
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DOI | 10.1590/s1415-475738420140234 |
Pubmed ID | |
Authors |
Dong-Wei Wang, Min Liu, Ping Wang, Xiang Zhan, Yu-Qing Liu, Luo-Sha Zhao |
Abstract |
Recently, the rs1042713 G > A and rs1042714 C > G polymorphisms in the beta-2 adrenergic receptor (ADRB2) gene were shown to be related to atherosclerosis diseases. Therefore, we performed a systemic meta-analysis to determine whether the two functional polymorphisms are related to the risk of myocardial infarction (MI) and coronary artery disease (CAD). We identified published studies that are relevant to our topic of interest. Seven case-control studies, with a total of 6,843 subjects, were incorporated into the current meta-analysis. Our analysis showed a higher frequency of rs1042713 G > A variant in patients with MI or CAD compared to healthy controls. A similar result was also obtained with the rs1042714 C > G variant under both the allele and dominant models. Ethnicity-stratified subgroup analysis suggested that the rs1042714 C > G variant correlated with an increased risk of the two diseases in both Asians and Caucasians, while rs1042713 G > A only contributes to the risk of two diseases in Asians. In the disease type-stratified subgroups, the frequencies of both the rs1042713 G > A and rs1042714 C > G variants were higher in the cases than in the controls in both the MI and CAD subgroups. Collectively, our data contribute towards understanding the correlation between the rs1042713 G > A and rs1042714 C > G polymorphisms in ADRB2 and the susceptibility to MI and CAD. |
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Geographical breakdown
Country | Count | As % |
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Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 5 | 23% |
Student > Ph. D. Student | 5 | 23% |
Student > Master | 3 | 14% |
Researcher | 2 | 9% |
Professor > Associate Professor | 2 | 9% |
Other | 0 | 0% |
Unknown | 5 | 23% |
Readers by discipline | Count | As % |
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Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Environmental Science | 1 | 5% |
Computer Science | 1 | 5% |
Other | 3 | 14% |
Unknown | 5 | 23% |