Literature DB >> 29374520

Evaluation of CpG-SNPs in miRNA promoters and risk of breast cancer.

Jiaping Chen1, Yue Jiang2, Jing Zhou2, Sijun Liu3, Na Qin2, Jiangbo Du2, Guangfu Jin4, Zhibin Hu4, Hongxia Ma4, Hongbing Shen4, Juncheng Dai5.   

Abstract

CpG-SNPs in gene promoter regions are proposed to be associated with multiple diseases. To date, few studies have focused on the associations between CpG-SNPs in miRNA promoters and the risk of breast cancer. In this study, 138 miRNAs differentially expressed between breast cancer and non-cancer tissues (fold change >2, P < 0.05) were identified using The Cancer Genome Atlas (TCGA) Research database. In total, 13 SNPs were selected in the promoters of the miRNAs and were evaluated in a case-control study of Chinese women including 1486 cases and 1519 controls. After multivariate logistic regression analysis, we found that three CpG-SNPs: rs1190983, rs155247, and rs62382272, were significantly associated with breast-cancer susceptibility in the population (Additive model: rs1190983: adjusted OR = 0.88, 95% CI: 0.79-0.99, P = 0.034; rs155247: adjusted OR = 0.83, 95% CI: 0.74-0.93, P = 0.002; rs62382272: adjusted OR = 1.24, 95% CI: 1.04-1.47, P = 0.016). eQTL analysis showed that these three SNPs were correlated with the expression of the related miRNAs in TCGA breast cancer tissues (P = 0.006,0.009,0.001 for rs1190983, rs155247, and rs62382272). Furthermore, rs1190983 was found to be associated with CpG site (cg20488673) methylation (meQTL) (P = 0.004), which was in turn correlated with miR-342 expression (P = 0.016). These findings indicated that the three CpG-SNPs in the promoters of miRNAs were likely to possess important biological functions to breast cancer in the Han Chinese population.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; CpG-SNP; Susceptibility; miRNA

Mesh:

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Year:  2018        PMID: 29374520     DOI: 10.1016/j.gene.2018.01.070

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


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