Literature DB >> 22903035

The association between hsa-miR-499 T>C polymorphism and cancer risk: a meta-analysis.

Lina Wang1, Shasha Qian, Hong Zhi, Yu Zhang, Bei Wang, Zuhong Lu.   

Abstract

MicroRNAs regulate gene expression at the post-transcriptional level and were involved in diverse biological and pathological processes. Single nucleotide polymorphism (SNP) which is located in the pre-miRNA may affect the processing and then influence the expression of mature miRNA. Previous studies yielded conflicting results as to the association of a common polymorphism in pre-miRNAs (i.e. hsa-miR-499 rs3746444) with various diseases. Therefore, here we performed a meta-analysis to address the association between this polymorphism and cancer risks. A total of twenty studies involving 10,584 cases and 12,414 controls were retrieved based on PubMed. No significant association was found either in cancers and other diseases in all genetic models. And then in the stratified analysis by ethnicity, significantly increased risks were found in Asians (OR=1.11; 95% CI=1.00-1.23 for C vs. T; OR=1.16; 95% CI=1.00-1.36 for TC vs. TT; OR=1.15; 95%CI=1.01-1.31 for TC/CC vs. TT), but not in Caucasians in all comparison models tested. Our meta-analysis suggested that polymorphism of hsa-miR-499 rs3746444 T>C was not associated with the increased susceptibility to cancers and other diseases.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22903035     DOI: 10.1016/j.gene.2012.08.005

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  14 in total

1.  Effects of common polymorphisms in miR-146a and miR-196a2 on lung cancer susceptibility: a meta-analysis.

Authors:  Yan-Gang Ren; Xiao-Ming Zhou; Zhi-Gang Cui; Gang Hou
Journal:  J Thorac Dis       Date:  2016-06       Impact factor: 2.895

2.  Effects of common polymorphisms rs2910164 in miR-146a and rs3746444 in miR-499 on cancer susceptibility: a meta-analysis.

Authors:  Zhihua Yin; Lei Yan; Zhigang Cui; Xuelian Li; Yangwu Ren; Baosen Zhou
Journal:  Mol Biol Rep       Date:  2013-01-06       Impact factor: 2.316

3.  A functional polymorphism in the miR-146a gene is associated with the risk of childhood acute lymphoblastic leukemia: a preliminary report.

Authors:  Seyed-Shahaboddin Hasani; Mohammad Hashemi; Ebrahim Eskandari-Nasab; Majid Naderi; Mohsen Omrani; Maryam Sheybani-Nasab
Journal:  Tumour Biol       Date:  2013-07-27

4.  Quantitative assessment of the association between microRNA-499 rs3746444 A/G polymorphism and cancer risk.

Authors:  Hongzhi Sun; Qing Li; Tao Yang; Wei Wang
Journal:  Tumour Biol       Date:  2013-11-21

5.  Hsa-mir-499 rs3746444 T/C Polymorphism is Associated with Increased Risk of Coronary Artery Disease in a Chinese Population.

Authors:  Weiqiang Chen; Donghua Shao; Haiyong Gu; Jie Gong; Jian Zhang
Journal:  Acta Cardiol Sin       Date:  2017-01       Impact factor: 2.672

6.  The miR-196a SNP Rs11614913 but not the miR-499 rs37464444 SNP is a Risk Factor for Non-small Cell Lung Cancer in an Iranian Population.

Authors:  Neda K Dezfuli; Ian M Adcock; Shamila D Alipoor; Babak Salimi; Sharareh Seifi; Mohammad Chehrazi; Mohammad Varahram; Esmaeil Mortaz
Journal:  Tanaffos       Date:  2022-01

7.  Ethnicity modifies the association between functional microRNA polymorphisms and breast cancer risk: a HuGE meta-analysis.

Authors:  Qiao-Hui Chen; Qing-Bing Wang; Bei Zhang
Journal:  Tumour Biol       Date:  2013-08-29

8.  The association between two common polymorphisms in MicroRNAs and hepatocellular carcinoma risk in Asian population.

Authors:  Miao Hu; Lianying Zhao; Surong Hu; Jingting Yang
Journal:  PLoS One       Date:  2013-02-20       Impact factor: 3.240

9.  Meta-analysis of Hsa-mir-499 polymorphism (rs3746444) for cancer risk: evidence from 31 case-control studies.

Authors:  Chen Chen; Shenglan Yang; Sandip Chaugai; Yan Wang; Dao Wen Wang
Journal:  BMC Med Genet       Date:  2014-11-30       Impact factor: 2.103

10.  Pre-miR-27a rs895819A/G polymorphisms in cancer: a meta-analysis.

Authors:  Qian Xu; Cai-Yun He; Jing-Wei Liu; Yuan Yuan
Journal:  PLoS One       Date:  2013-06-07       Impact factor: 3.240

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