Biomedical Research

Journal Banner

MiR-196a2 rs11614913 polymorphism could not influence coronary artery disease risk in Asians

Xia Wang1#, Shan-Kang He2#, Wen-Hai Guo3, Huan-Lin Wu1, Ya-Hui Chen1, Xiao-Li Wang1 and Zhi-Ling He1*

1Department of Caridiovascular, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510000, Guangdong, PR China

2Dongguan Dalingshan Hospital, Dongguan, Guangdong, PR China

3The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, PR China

#These authors contributed equally to this work

*Corresponding Author:
Zhi-Ling He
Department of Caridiovascular
The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, PR China

Accepted date: May 05, 2017

Visit for more related articles at Biomedical Research

Abstract

Although some studies have investigated the association between miR-196a2 rs11614913 polymorphism and coronary artery disease (CAD) risk. The effect of miR-196a2 rs11614913 polymorphism on CAD susceptibility remain unknown. This meta-analysis aimed to determine this association. PubMed and EMBASE were searched to find relevant studies which investigated the association between miR-196a2 rs11614913 polymorphism and CAD risk. Five case-control studies including 3370 CAD patients and 3011 controls were included in this meta-analysis. MiR-196a2 rs11614913 polymorphism was not associated with CAD risk in the allelic model (OR=1.02; 95% CI 0.95-1.09; P=0.67). Additionally, no significant results were found in other genetic models. In conclusion, we found that miR-196a2 rs11614913 polymorphism played no role in CAD risk in Asians.

Keywords

MicroRNAs, Coronary artery disease, Genetic, Polymorphism.

Introduction

MicroRNAs are small non-coding RNAs of approximately 22 nucleotides long [1]. They could regulate target mRNA translation through complementary binding in the 3' untranslated region (3' UTR) of mRNAs [1]. MicroRNAs carry pervasive transcriptional and posttranscriptional regulatory actions relevant to human health and disease, including coronary artery disease (CAD). Labbaf et al. suggest that miR-499-rs3746444-GG is associated with CAD susceptibility and development [2]. Faccini et al. demonstrated that the combination of the three circulating miRNA managed to deliver a specific signature for diagnosing CAD [3]. Liu et al. suggested that miR-208b may serve as a sensitive biomarker for the diagnosis and prognosis of acute myocardial infarction patients [4]. Although some studies have investigated the association between miR-196a2 rs11614913 polymorphism and CAD risk [5-9]. The effect of miR-196a2 rs11614913 polymorphism on CAD susceptibility remains unknown. This meta-analysis aimed to determine this association.

Materials and Methods

Publications search

PubMed and EMBASE were searched to find relevant studies which investigated the association between miR-196a2 rs11614913 polymorphism and CAD risk. The keywords included: “coronary artery disease” or CAD and “miR-196a2”. There was no language and time restriction.

Inclusion and exclusion criteria

Studies were included if they met the following criteria: (1) case–control study; (2) about the association between miR-196a2 rs11614913 polymorphism and CAD risk; and (3) had available genotype frequencies of cases and controls or could be calculated from the paper. Accordingly, the exclusion criteria were (1) duplicate data, (2) abstract, reviews, and animal studies, (3) only included CAD patients.

Data extraction

Two authors extracted the data from included studies independently. The following data were collected from each study: the first author, year, country, ethnicity, sample size, and numbers of genotype.

Statistical analysis

The strength of association between miR-196a2 rs11614913 polymorphism and CAD risk was estimated by OR with corresponding 95% CI. Q-statistic was applied to investigate heterogeneity among studies. P-value greater than 0.1 for Q test suggested a lack of statistically significant heterogeneity, and the fixed-effect model (Mantel-Haenszel method) was used to calculate pooled ORs. Otherwise, heterogeneity was present and the random-effect model (DerSimonian-Laird method) was more appropriate. Potential publication bias was estimated by symmetry of funnel plot. All statistical tests in this metaanalysis were two-tailed and P-value<0.05 was considered statistically significant unless otherwise noted. Data analysis was performed using Revman 5.1.

Results

Characteristics of the studies

Characteristics the included studies are listed in Table 1. Five case-control studies including 3370 CAD patients and 3011 controls were included in this meta-analysis. All these studies were conducted in Asians.

Author Year Country Ethnicity Cases/Controls (n) Case Control
CC CT TT CC CT TT
Zhi 2012 China Asian 916/584 155 470 291 98 278 208
Chen 2014 China Asian 919/889 157 450 312 161 406 322
Xiong 2014 China Asian 295/283 78 131 86 68 132 83
Huang 2015 China Asian 718/720 147 381 190 156 360 204
Sung 2016 Korea Asian 522/535 107 236 179 108 274 153

Table 1: Characteristics of studies.

Meta-analysis

The results of the association between miR-196a2 rs11614913 polymorphism and CAD risk are summarized in Table 2. As shown in Figure 1, miR-196a2 rs11614913 polymorphism was not associated with CAD risk in the allelic model (OR=1.02; 95% CI 0.95-1.09; P=0.67). Additionally, no significant results were found in other genetic models (Table 2). Funnel plot was performed to assess the publication bias of literatures. The shape of the funnel plot did not reveal any evidence of obvious asymmetry (Figure 2).

  P heterogeneity Model OR (95% CI) P value
C vs. T 0.57 F 1.02 (0.95-1.09) 0.67
CC vs. TT 0.53 F 1.14 (1.00-1.29) 0.05
CC vs. CT 0.56 F 0.98 (0.87-1.11) 0.74
CC vs. TT+CT 0.90 F 0.99 (0.87-1.11) 0.81
CC+CT vs. TT 0.11 F 0.98 (0.92-1.05) 0.55

Table 2: Meta-analysis results.

biomedres-polymorphism-CAD-risk

Figure 1: The association between miR-196a2 rs11614913 polymorphism and CAD risk.

biomedres-Publication-bias

Figure 2: Publication bias of the association between miR-196a2 rs11614913 polymorphism and CAD risk.

Discussion

The current study used a comprehensive meta-analysis to reveal an miR-196a2 rs11614913 polymorphism and CAD risk. We found that individuals with miR-196a2 rs11614913 polymorphism did not show significant results in the Asians population. However, this association should be confirmed in Caucasians, since no study using Caucasians was included. The role of miR-196a2 rs11614913 polymorphism in diseases has been studied extensively. Yu et al. suggested that the C allele of the rs11614913 (T>C) SNP of miR-196a2 are associated with a significantly reduced risk of ASD [10]. Hussein et al. found that microRNA-196a2 rs11614913 polymorphism might be associated with asthma severity in our sample of the Egyptian population [11]. Chen et al. suggested that MIR196A2 rs11614913 polymorphism may contribute to an increased risk of hepatopulmonary syndrome in liver cirrhosis patients [12].

Some limitations in this meta-analysis should be addressed. First, only published studies were included; it was possible that some relevant published or unpublished studies may have been missed. Second, lacking of the original data of the eligible studies limited the evaluation of the subgroup analyses by gender, age, and other factors. Finally, all the studies were conducted in Asians, no study from other races was included.

In conclusion, we found that miR-196a2 rs11614913 polymorphism played no role in CAD risk in Asians.

Acknowledgment

This work supported by Science and Technology Research Program of Traditional Chinese Medicine of Guangdong Province Hospital of Traditional Chinese Medicine (No. YN2014LN06).

References