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학술저널
저자정보
Song, Chuan-Qing (Department of Epidemiology, College of Public Health, Zhengzhou University) Zhang, Jun-Hui (Department of Epidemiology, College of Public Health, Zhengzhou University) Shi, Jia-Chen (Department of Epidemiology, College of Public Health, Zhengzhou University) Cao, Xiao-Qin (Department of Epidemiology, College of Public Health, Zhengzhou University) Song, Chun-Hua (Department of Epidemiology, College of Public Health, Zhengzhou University) Hassan, Adil (Department of Epidemiology, College of Public Health, Zhengzhou University) Wang, Peng (Department of Epidemiology, College of Public Health, Zhengzhou University) Dai, Li-Ping (Department of Epidemiology, College of Public Health, Zhengzhou University) Zhang, Jian-Ying (Department of Epidemiology, College of Public Health, Zhengzhou University) Wang, Kai-Juan (Department of Epidemiology, College of Public Health, Zhengzhou University)
저널정보
아시아태평양암예방학회 Asian Pacific journal of cancer prevention : APJCP Asian Pacific journal of cancer prevention : APJCP 제15권 제2호
발행연도
2014.1
수록면
937 - 943 (7page)

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Polymorphisms in miRNA binding sites have been shown to affect miRNA binding to target genes, resulting in differential mRNA and protein expression and susceptibility to common diseases. Our purpose was to predict SNPs (single nucleotide polymorphisms) within miRNA binding sites of inflammatory genes in relation to gastric cancer. A complete list of SNPs in the 3'UTR regions of all inflammatory genes associated with gastric cancer was obtained from Pubmed. miRNA target prediction databases (MirSNP, Targetscan Human 6.2, PolymiRTS 3.0, miRNASNP 2.0, and Patrocles) were used to predict miRNA target sites. There were 99 SNPs with MAF>0.05 within the miRNA binding sites of 41 genes among 72 inflammation-related genes associated with gastric cancer. NF-${\kappa}B$ and JAK-STAT are the two most important signaling pathways. 47 SNPs of 25 genes with 95 miRNAs were predicted. CCL2 and IL1F5 were found to be the shared target genes of hsa-miRNA-624-3p. Bioinformatic methods could identify a set of SNPs within miRNA binding sites of inflammatory genes, and provide data and direction for subsequent functional verification research.

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