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

Authors :
Chen, Jiaping
Jiang, Yue
Zhou, Jing
Liu, Sijun
Qin, Na
Du, Jiangbo
Jin, Guangfu
Hu, Zhibin
Ma, Hongxia
Shen, Hongbing
Dai, Juncheng
Source :
Gene. Apr2018, Vol. 651, p1-8. 8p.
Publication Year :
2018

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03781119
Volume :
651
Database :
Academic Search Index
Journal :
Gene
Publication Type :
Academic Journal
Accession number :
128202896
Full Text :
https://doi.org/10.1016/j.gene.2018.01.070