A functional variation in pre-microRNA-196a is associated with susceptibility of esophageal squamous cell carcinoma risk in Chinese Han

Abstract

MicroRNAs (miRNAs) are small, non-protein-coding RNAs that function as tumour suppressors or oncogenes. A single nucleotide change in the sequence of pre-miRNA can affect miRNA expression, so single-nucleotide polymorphisms (SNPs) in pre-miRNA may be biomarkers for biomedical applications. In this study, we performed a genetic association study between the SNP (rs11614913) in pre-miRNA-196a and esophageal squamous cell carcinoma (ESCC) susceptibility in a case-control study. We found that the homozygote CC of this SNP increased the risk of ESCC compared with the homozygote TT and the risk was more evident among smokers than non-smokers. Therefore, this functional SNP may be a biomarker for ESCC outcome.

miR-196a2 polymorphisms and susceptibility to cancer: A meta-analysis involving 24,697 subjects

“…During the reading of the 25 full-text manuscripts, 4 studies were excluded due to incomplete rs11614913 polymorphism distribution data required for OR calculation (10)(11)(12)(13). For the remaining 21 records, baseline characteristics of the patients and control subjects were summarized, the study quality was assessed, HWE in particular was assessed by Chi-square test; two records involving Indian populations published in 2011 were excluded for disagreement with HWE (P<0.05) (14,15), thus leaving 19 articles identified with criteria for inclusion and exclusion (16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34). All studies were case-control studies.…”

Association between rs11614913 polymorphism in miR-196a2 and colorectal cancer risk: A meta-analysis

“…The diamond represents the pooled OR and 95% CI. Begg lung cancer [30][31][32][33][34], breast cancer [35][36][37][38][39][40], gastric cancer [41,42], liver cancer [43][44][45][46], gallbladder cancer [47,48], prostate cancer [47,49], esophageal cancer [50][51][52][53], head and neck cancer [54][55][56], cervical cancer [57], and glioma [58]. But the results remain conflicting and conclusive.…”

Identification of SNP barcode biomarkers for genes associated with facial emotion perception using particle swarm optimization algorithm

“…Single-SNP models are typically used to evaluate SNPs for associations with various diseases [40-44]. For some SNPs, however, effects that are potentially important but do not reach the significance level are underestimated, leading to the ‘missing heritability’ [45-47].…”