Journal
MUTATION RESEARCH-FUNDAMENTAL AND MOLECULAR MECHANISMS OF MUTAGENESIS
Volume 761, Issue -, Pages 15-20Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.mrfmmm.2014.01.001
Keywords
microRNA; Single nucleotide polymorphism; Coronary artery disease; Risk
Funding
- National Natural Science Foundation of China [81000143, 81370456]
- Natural Science Foundation of Guangdong Province [S2012010008219, S2011010002922]
- Medical Scientific Research Foundation of Guangdong Province [B2009191, A2011431]
- Science and Technological Program for Dongguan's Higher Education, Science and Research, and Health Care Institutions [2011105102007, 200910815256]
- Guangdong University Students Innovative Pilot Program [KY1232, 1057113012, ZZDC006]
- Science & Technology Innovation Fund of Guangdong Medical College [STIF201102]
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miRNAs are small non-coding RNAs that play an important role in numerous physiological processes. Common single nucleotide polymorphisms (SNPs) in pre-miRNAs may change their property through altering miRNAs expression and/or maturation, resulting in diverse functional consequences. To date, the role of genetic variants in pre-miRNAs on coronary artery disease (CAD) risk remains poorly understood. Here we aimed to evaluate the influence of three common SNPs in pre-miRNAs (miR-146a rs2910164 G>C, miR-196a2 rs11614913 C>T, miR-499 rs3746444 T>C) on individual susceptibility to CAD in a Chinese population of 295 CAD patients and 283 controls. Genotyping was performed using polymerase chain reaction-based restriction fragment length polymorphism (PCR-RFLP) method. In a logistic regression analysis, we detected an association of rs2910164 in pre-miR-146a with the CAD risk; compared with the GG homozygotes, the GC heterozygotes [odds ratio (OR)= 1.89,95% confidence interval (CI) = 1.06-3.36, P = 0.029] and the CC homozygotes (OR = 1.83, 95% CI = 1.01-3.32, P=0.046) genotype were statistically significantly associated with the increased risk for CADs. As we used further genotype association models, we found a similar trend of the association in recessive model (OR = 1.86,95% CI = 1.09-3.19, P = 0.023). We also found that the genotypes of miR-146a rs2910164 were associated with its mature miRNA expression by analyzing 23 PBMC samples from CAD patients. Individuals carrying rs11614913 GC or CC genotypes showed 3.2-fold higher expression compared to GG genotype carriers (P < 0.05). We observed no association of the other two SNPs in miR-196a2 (rs11614913) and miR-499 (rs3746444) with the CAD incidence. Our data provide the first evidence that the miR-146a rs2910164 polymorphism is associated with increased risk of CAD in Chinese Han population, which may be through influencing the expression levels of the miRNA. (C) 2014 Elsevier B.V. All rights reserved.
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