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Meta-Analysis
. 2018 Sep 12:13:1709-1726.
doi: 10.2147/CIA.S174000. eCollection 2018.

Association between polymorphisms in microRNAs and ischemic stroke in an Asian population: evidence based on 6,083 cases and 7,248 controls

Donghua Zou  1 , Chunbin Liu  1 , Qian Zhang  1 , Xianfeng Li  1 , Gang Qin  1 , Qi Huang  1 , Youshi Meng  1 , Li Chen  2 , Jinru Wei  1
Affiliations
Meta-Analysis

Association between polymorphisms in microRNAs and ischemic stroke in an Asian population: evidence based on 6,083 cases and 7,248 controls

Donghua Zou et al. Clin Interv Aging. .

Abstract

Background: Polymorphisms in miR-146a (rs2910164), miR-196a2 (rs11614913), miR-149 (rs2292832) and miR-499 (rs3746444) have been associated with ischemic stroke (IS), but studies have given inconsistent results.

Methods: This meta-analysis investigated the possible association between IS risk and the four polymorphisms. A total of 14 case-control studies from Asian populations involving 6,083 cases and 7,248 controls for the four polymorphisms were included.

Results: Results showed that the GG genotype of miR-146a (rs2910164) may be associated with increased IS risk according to the recessive model (OR=1.20, 95% CI=1.02-1.42, P=0.03). Similarly, the CC genotype of miR-149 (rs2292832) may be associated with increased IS risk according to the recessive model (OR=1.28, 95% CI=1.08-1.52, P=0.005) and the homozygous model (OR=1.31, 95% CI=1.09-1.58, P=0.004). In contrast, miR-196a2 (rs11614913) and miR-499 (rs3746444) polymorphisms did not show significant association with IS risk in any of the five genetic models.

Conclusion: These results indicate that the GG genotype of miR-146a (rs2910164) and CC genotype of miR-149 (rs2292832) may confer increased susceptibility to IS, while miR-196a2 (rs11614913) and miR-499 (rs3746444) polymorphisms may not be associated with IS risk in Asian populations. These conclusions should be verified in large and well-designed studies.

Keywords: ischemic stroke; meta-analysis; miRNAs; polymorphism.

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Conflict of interest statement

Disclosure The authors report no conflicts of interest in this work.

Figures

Figure 1
Figure 1
Flowchart of study selection.
Figure 2
Figure 2
Forest plot describing the association between the miR-146a (rs2910164) polymorphism and ischemic stroke risk according to different genetic models: (A) allelic (G-allele vs C-allele), (B) recessive (GG vs GC+CC), (C) dominant (CC vs GC+GG), (D) homozygous (GG vs CC), and (E) heterozygous (GC vs CC).
Figure 2
Figure 2
Forest plot describing the association between the miR-146a (rs2910164) polymorphism and ischemic stroke risk according to different genetic models: (A) allelic (G-allele vs C-allele), (B) recessive (GG vs GC+CC), (C) dominant (CC vs GC+GG), (D) homozygous (GG vs CC), and (E) heterozygous (GC vs CC).
Figure 3
Figure 3
Forest plot describing the association between the miR-196a2 (rs11614913) polymorphism and ischemic stroke risk according to different genetic models: (A) allelic, (B) recessive, (C) dominant, (D) homozygous, and (E) heterozygous.
Figure 3
Figure 3
Forest plot describing the association between the miR-196a2 (rs11614913) polymorphism and ischemic stroke risk according to different genetic models: (A) allelic, (B) recessive, (C) dominant, (D) homozygous, and (E) heterozygous.
Figure 4
Figure 4
Forest plot describing the association between the miR-149 (rs2292832) polymorphism and ischemic stroke risk according to different genetic models: (A) allelic, (B) recessive, (C) dominant, (D) homozygous, and (E) heterozygous.
Figure 4
Figure 4
Forest plot describing the association between the miR-149 (rs2292832) polymorphism and ischemic stroke risk according to different genetic models: (A) allelic, (B) recessive, (C) dominant, (D) homozygous, and (E) heterozygous.
Figure 5
Figure 5
Forest plot describing the association between the miR-149 (rs2292832) polymorphism and ischemic stroke risk according to different genetic models: (A) allelic, (B) recessive, (C) dominant, (D) homozygous, and (E) heterozygous.
Figure 5
Figure 5
Forest plot describing the association between the miR-149 (rs2292832) polymorphism and ischemic stroke risk according to different genetic models: (A) allelic, (B) recessive, (C) dominant, (D) homozygous, and (E) heterozygous.
Figure 6
Figure 6
Begg’s funnel plot and Egger’s test to assess publication bias in the meta-analysis of potential associations between ischemic stroke risk and (A and B) miR-146a (rs2910164), (C and D) miR-196a2 (rs11614913), (E and F) miR-149 (rs2292832), and (G and H) miR-499 (rs3746444). Note: All analyses were performed using a recessive genetic model.
Figure 6
Figure 6
Begg’s funnel plot and Egger’s test to assess publication bias in the meta-analysis of potential associations between ischemic stroke risk and (A and B) miR-146a (rs2910164), (C and D) miR-196a2 (rs11614913), (E and F) miR-149 (rs2292832), and (G and H) miR-499 (rs3746444). Note: All analyses were performed using a recessive genetic model.
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