The Associations of Single Nucleotide Polymorphisms in miR-146a, miR-196a and miR-499 with Breast Cancer Susceptibility

34Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

Abstract

Background:Previous studies have investigated the association between single nucleotide polymorphisms (SNPs) located in microRNAs (miRNAs) and breast cancer susceptibility; however, because of their limited statistical power, many discrepancies are revealed in these studies. The meta-analysis presented here aimed to identify and characterize the roles of miRNA SNPs in breast cancer risk, and evaluate the associations of polymorphisms in miR-146a rs2910164, miR-196a rs11614913 and miR-499 rs3746444 with breast cancer susceptibility, respectively.Methodology/Principal Findings:The PubMed and Embases databases were searched updated to 31st December, 2012. The complete data of polymorphisms in miR-146a rs2910164, miR-196a rs11614913 and miR-499 rs3746444 from case-control studies for breast cancer were analyzed by odds ratios (ORs) with 95% confidence intervals (CIs) to reveal the associations of SNPs in miRNAs with breast cancer susceptibility. Totally, six studies for rs2910164 in miR-146a, involving 4225 cases and 4469 controls; eight studies for rs11614913 in miR-196a, involving 4110 cases and 5100 controls; and three studies of rs3746444 in miR-499, involving 2588 cases and 3260 controls, were investigated in the meta-analysis. The rs11614913 (TT+CT) genotype of miR-196a2 was revealed to be associated with a decreased breast cancer susceptibility compared with the CC genotypes (OR = 0.906, 95% CI: 0.825-0.995, P = 0.039); however, no significant associations were observed between rs2910164 in miR-146a (or rs3746444 in miR-499) and breast cancer susceptibility.Conclusions:This meta-analysis demonstrates the compelling evidence that the rs11614913 CC genotype in miR-196a2 increases breast cancer risk, which provides useful information for the early diagnosis and prevention of breast cancer. © 2013 Wang et al.

Figures

  • Figure 1. Flow diagram of selection of studies with criteria for inclusion and exclusion.
  • Table 2. Meta-analysis results for the four polymorphisms and breast cancer risk. (OR, odds ratio; CI, confidence interval.)
  • Figure 2. Forest plot for the association between miR-196a2 polymorphism and breast cancer risk. (Significant difference was observed for the comparison of miR-196a2 polymorphism (TT+CT) vs. CC using a fixed-effects model. OR, odds ratio; CI, confidence interval.) doi:10.1371/journal.pone.0070656.g002

References Powered by Scopus

Measuring inconsistency in meta-analyses

49144Citations
N/AReaders
Get full text

Bias in meta-analysis detected by a simple, graphical test

43019Citations
N/AReaders
Get full text

Operating characteristics of a rank correlation test for publication bias

14087Citations
N/AReaders
Get full text

Cited by Powered by Scopus

MicroRNA Regulation of Acute Lung Injury and Acute Respiratory Distress Syndrome

116Citations
N/AReaders
Get full text

Critical analysis of the potential for microRNA biomarkers in breast cancer management

77Citations
N/AReaders
Get full text

Common polymorphisms in MIR146a, MIR128a and MIR27a genes contribute to neuropathy susceptibility in type 2 diabetes

76Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Wang, P. Y., Gao, Z. H., Jiang, Z. H., Li, X. X., Jiang, B. F., & Xie, S. Y. (2013). The Associations of Single Nucleotide Polymorphisms in miR-146a, miR-196a and miR-499 with Breast Cancer Susceptibility. PLoS ONE, 8(9). https://doi.org/10.1371/journal.pone.0070656

Readers over time

‘16‘17‘18‘19‘21‘22‘23‘2402468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 10

63%

Professor / Associate Prof. 4

25%

Researcher 2

13%

Readers' Discipline

Tooltip

Biochemistry, Genetics and Molecular Bi... 8

50%

Agricultural and Biological Sciences 5

31%

Medicine and Dentistry 2

13%

Social Sciences 1

6%

Save time finding and organizing research with Mendeley

Sign up for free
0