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

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 th...

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Autores principales: Zou, Donghua, Liu, Chunbin, Zhang, Qian, Li, Xianfeng, Qin, Gang, Huang, Qi, Meng, Youshi, Chen, Li, Wei, Jinru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140750/
https://www.ncbi.nlm.nih.gov/pubmed/30254431
http://dx.doi.org/10.2147/CIA.S174000
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author Zou, Donghua
Liu, Chunbin
Zhang, Qian
Li, Xianfeng
Qin, Gang
Huang, Qi
Meng, Youshi
Chen, Li
Wei, Jinru
author_facet Zou, Donghua
Liu, Chunbin
Zhang, Qian
Li, Xianfeng
Qin, Gang
Huang, Qi
Meng, Youshi
Chen, Li
Wei, Jinru
author_sort Zou, Donghua
collection PubMed
description 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.
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spelling pubmed-61407502018-09-25 Association between polymorphisms in microRNAs and ischemic stroke in an Asian population: evidence based on 6,083 cases and 7,248 controls Zou, Donghua Liu, Chunbin Zhang, Qian Li, Xianfeng Qin, Gang Huang, Qi Meng, Youshi Chen, Li Wei, Jinru Clin Interv Aging Original Research 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. Dove Medical Press 2018-09-12 /pmc/articles/PMC6140750/ /pubmed/30254431 http://dx.doi.org/10.2147/CIA.S174000 Text en © 2018 Zou et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Zou, Donghua
Liu, Chunbin
Zhang, Qian
Li, Xianfeng
Qin, Gang
Huang, Qi
Meng, Youshi
Chen, Li
Wei, Jinru
Association between polymorphisms in microRNAs and ischemic stroke in an Asian population: evidence based on 6,083 cases and 7,248 controls
title Association between polymorphisms in microRNAs and ischemic stroke in an Asian population: evidence based on 6,083 cases and 7,248 controls
title_full Association between polymorphisms in microRNAs and ischemic stroke in an Asian population: evidence based on 6,083 cases and 7,248 controls
title_fullStr Association between polymorphisms in microRNAs and ischemic stroke in an Asian population: evidence based on 6,083 cases and 7,248 controls
title_full_unstemmed Association between polymorphisms in microRNAs and ischemic stroke in an Asian population: evidence based on 6,083 cases and 7,248 controls
title_short Association between polymorphisms in microRNAs and ischemic stroke in an Asian population: evidence based on 6,083 cases and 7,248 controls
title_sort association between polymorphisms in micrornas and ischemic stroke in an asian population: evidence based on 6,083 cases and 7,248 controls
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140750/
https://www.ncbi.nlm.nih.gov/pubmed/30254431
http://dx.doi.org/10.2147/CIA.S174000
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