Dataset Information

Hsa-miR-499 rs3746444 polymorphism contributes to cancer risk: a meta-analysis of 12 studies.

ABSTRACT:

Background

Single nucleotide polymorphisms (SNPs) occurred in pre-microRNAs or targets of microRNAs (miRs) may contribute to cancer risks. Since 2007, many studies have investigated the association between common SNPs located on hsa-miR-499 (rs3746444) and cancer risks; however, the results were inconclusive.

Methodology/principal findings

We conducted a meta-analysis of 12 studies that included 5765 cases and 7076 controls to identify the strength of association. Odds ratio (OR) and 95% confidence intervals (95% CI) were used to assess the strength of association. Overall, individuals with the variant AG (OR?=?1.215, 95% CI: 1.027, 1.437; P(heterogeneity)<0.01) and AG/GG (OR?=?1.227, 95% CI: 1.046, 1.439; P(heterogeneity)<0.01) genotypes were associated with a significantly increased risk of cancer than those with wild AA genotype. Sub-group analysis revealed that the variant AG (OR?=?1.411, 95% CI: 1.142, 1.745; P(heterogeneity)?=?0.01) and AG/GG (OR?=?1.413, 95% CI: 1.163, 1.717, P(heterogeneity)?=?0.01) genotypes still showed an increased risk of cancer in Asians; however, a trend of reduced risk of cancer was observed in Caucasians (AG vs. AA: OR?=?0.948, 955 CI: 0.851, 1.057, P(heterogeneity)?=?0.12; AG/GG vs. AA: OR?=?0.959, 95% CI: 0.865, 1.064; P(heterogeneity)?=?0.19). Meta-regression showed that ethnicity (p?=?0.048) and sample size (p?=?0.02) but not cancer types (p?=?0.89) or source of control (p?=?0.97) were the sources of heterogeneity.

Conclusions

These meta-analysis results suggest that hsa-miR-499 polymorphism rs3746444 is associated with a significantly increased risk of cancer, especially in Asian populations.

SUBMITTER: Qiu MT

PROVIDER: S-EPMC3517592 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Publications

Hsa-miR-499 rs3746444 polymorphism contributes to cancer risk: a meta-analysis of 12 studies.

Qiu Man-Tang MT Hu Jing-Wen JW Ding Xiang-Xiang XX Yang Xin X Zhang Zhi Z Yin Rong R Xu Lin L

PloS one 20121207 12

<h4>Background</h4>Single nucleotide polymorphisms (SNPs) occurred in pre-microRNAs or targets of microRNAs (miRs) may contribute to cancer risks. Since 2007, many studies have investigated the association between common SNPs located on hsa-miR-499 (rs3746444) and cancer risks; however, the results were inconclusive.<h4>Methodology/principal findings</h4>We conducted a meta-analysis of 12 studies that included 5765 cases and 7076 controls to identify the strength of association. Odds ratio (OR) ...[more]

PMID: 23236400

Similar Datasets

Project description:BACKGROUND: MicroRNAs (miRNAs) are a family of endogenous, small and non-coding RNAs that regulate gene expression negatively at the post-transcriptional level by suppressing translation or degrading target mRNAs, and are involved in diverse biological and pathological processes. Single nucleotide polymorphisms (SNPs) which are located in the miRNA-coding genes may participate in the process of development and diseases by altering the expression of mature miRNA. Recent studies investigating the association between hsa-mir-499 polymorphism (rs3746444) and cancer risk have yielded conflicting results. METHODS: In this meta-analysis, we conducted a search of case-control studies on the associations of SNP rs3746444 with susceptibility to cancer in electronic databases. A total of 31 studies involving 12799 cases and 14507 controls were retrieved and the strength of the association was estimated by pooled odds ratios (ORs) and 95% confidence intervals (CIs). Hardy-Weinberg equilibrium (HWE) was assessed by the goodness-of-fit chi-square test in controls. Subgroup analyses were done by racial descent and cancer type. Publication bias of literatures was evaluated by visual inspection of funnel plots and the linear regression asymmetry test by Egger et al. Sensitivity analysis was conducted by excluding one study at a time to examine the influence of individual data set on the pooled ORs. RESULTS: Overall, significant association between rs3746444 polymorphism and susceptibility to cancer was identified in TC versus TT and TC/CC versus TT (dominant) models. In the stratified analyses, increased risks were found in Asians, but not in Caucasians in all comparison models tested. Moreover, significant association with an increased risk was found in Chinese population. Also, much higher significant association with increased cancer risks were found in Iranian population. In different cancer types, a decreased risk was found in esophageal cancer. CONCLUSION: Our meta-analysis suggested that hsa-mir-499 rs3746444 T > C polymorphism is associated with the risk of cancer in Asians, mainly in Iranian and Chinese population. However, rs3746444 T > C polymorphism is negatively associated with the risk of esophageal cancer.

Dataset Information

Hsa-miR-499 rs3746444 polymorphism contributes to cancer risk: a meta-analysis of 12 studies.

Background

Methodology/principal findings

Conclusions

Publications

Hsa-miR-499 rs3746444 polymorphism contributes to cancer risk: a meta-analysis of 12 studies.

Similar Datasets

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