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Association of miR-146a polymorphism rs2910164 and type 2 diabetes risk: a meta-analysis

OBJECTIVE: Circulating miR-146a is aberrantly expressed in patients with type 2 diabetes (T2D), probably resulting from gene polymorphisms. However, the role of polymorphism rs2910164 in T2D pathogenesis remains controversial. Thus, we designed a meta-analysis to investigate the association between...

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Autores principales: Cheng, Liqing, Zhou, Min, Zhang, Dongmei, Chen, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7441291/
https://www.ncbi.nlm.nih.gov/pubmed/32812451
http://dx.doi.org/10.1177/0300060520931313
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author Cheng, Liqing
Zhou, Min
Zhang, Dongmei
Chen, Bing
author_facet Cheng, Liqing
Zhou, Min
Zhang, Dongmei
Chen, Bing
author_sort Cheng, Liqing
collection PubMed
description OBJECTIVE: Circulating miR-146a is aberrantly expressed in patients with type 2 diabetes (T2D), probably resulting from gene polymorphisms. However, the role of polymorphism rs2910164 in T2D pathogenesis remains controversial. Thus, we designed a meta-analysis to investigate the association between rs2910164 and T2D. METHODS: PubMed and Embase were searched for eligible papers in English published through September 2, 2019. Random or fixed effect models were used to determine risk estimates according to heterogeneities. RESULTS: Four studies, involving 2,069 patients and 1,950 controls, were included. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to pool the effect size. The pooled ORs and 95% CIs were 1.501 (0.887–2.541), 1.102 (0.931–1.304), 1.276 (0.900–1.811), 1.204 (0.878–1.652), 1.238 (0.880–1.740), and 1.350 (0.904–2.016) under the homozygote, heterozygote (CG vs. GG and CC vs. CG), dominant, allele, and recessive models, respectively. Heterogeneity was detected in most genetic models, with subgroup analyses performed by ethnicity, genotyping method, and disease duration. The co-dominant model was determined to be the most appropriate genetic model. CONCLUSIONS: Our findings suggested that polymorphism rs2910164 is not correlated with T2D susceptibility. However, the results should be interpreted with caution because of confounding factors.
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spelling pubmed-74412912020-09-02 Association of miR-146a polymorphism rs2910164 and type 2 diabetes risk: a meta-analysis Cheng, Liqing Zhou, Min Zhang, Dongmei Chen, Bing J Int Med Res Meta Analysis OBJECTIVE: Circulating miR-146a is aberrantly expressed in patients with type 2 diabetes (T2D), probably resulting from gene polymorphisms. However, the role of polymorphism rs2910164 in T2D pathogenesis remains controversial. Thus, we designed a meta-analysis to investigate the association between rs2910164 and T2D. METHODS: PubMed and Embase were searched for eligible papers in English published through September 2, 2019. Random or fixed effect models were used to determine risk estimates according to heterogeneities. RESULTS: Four studies, involving 2,069 patients and 1,950 controls, were included. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to pool the effect size. The pooled ORs and 95% CIs were 1.501 (0.887–2.541), 1.102 (0.931–1.304), 1.276 (0.900–1.811), 1.204 (0.878–1.652), 1.238 (0.880–1.740), and 1.350 (0.904–2.016) under the homozygote, heterozygote (CG vs. GG and CC vs. CG), dominant, allele, and recessive models, respectively. Heterogeneity was detected in most genetic models, with subgroup analyses performed by ethnicity, genotyping method, and disease duration. The co-dominant model was determined to be the most appropriate genetic model. CONCLUSIONS: Our findings suggested that polymorphism rs2910164 is not correlated with T2D susceptibility. However, the results should be interpreted with caution because of confounding factors. SAGE Publications 2020-08-19 /pmc/articles/PMC7441291/ /pubmed/32812451 http://dx.doi.org/10.1177/0300060520931313 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Meta Analysis
Cheng, Liqing
Zhou, Min
Zhang, Dongmei
Chen, Bing
Association of miR-146a polymorphism rs2910164 and type 2 diabetes risk: a meta-analysis
title Association of miR-146a polymorphism rs2910164 and type 2 diabetes risk: a meta-analysis
title_full Association of miR-146a polymorphism rs2910164 and type 2 diabetes risk: a meta-analysis
title_fullStr Association of miR-146a polymorphism rs2910164 and type 2 diabetes risk: a meta-analysis
title_full_unstemmed Association of miR-146a polymorphism rs2910164 and type 2 diabetes risk: a meta-analysis
title_short Association of miR-146a polymorphism rs2910164 and type 2 diabetes risk: a meta-analysis
title_sort association of mir-146a polymorphism rs2910164 and type 2 diabetes risk: a meta-analysis
topic Meta Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7441291/
https://www.ncbi.nlm.nih.gov/pubmed/32812451
http://dx.doi.org/10.1177/0300060520931313
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