Identifying Liver Cancer-Related Enhancer SNPs by Integrating GWAS and Histone Modification ChIP-seq Data

被引：9

作者：

Zhang, Tianjiao ^{[1
]}

Hu, Yang ^{[2
]}

Wu, Xiaoliang ^{[1
]}

Ma, Rui ^{[1
]}

Jiang, Qinghua ^{[2
]}

Wang, Yadong ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150001, Peoples R China

[2] Harbin Inst Technol, Sch Life Sci & Technol, Harbin 150001, Peoples R China

来源：

BIOMED RESEARCH INTERNATIONAL | 2016年 / 2016卷

基金：

中国国家自然科学基金;

关键词：

GENOME-WIDE ASSOCIATION; GENE ONTOLOGY; INFORMATION;

D O I：

10.1155/2016/2395341

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Many disease-related single nucleotide polymorphisms (SNPs) have been inferred from genome-wide association studies (GWAS) in recent years. Numerous studies have shown that some SNPs located in protein-coding regions are associated with numerous diseases by affecting gene expression. However, in noncoding regions, the mechanism of how SNPs contribute to disease susceptibility remains unclear. Enhancer elements are functional segments of DNA located in noncoding regions that play an important role in regulating gene expression. The SNPs located in enhancer elements may affect gene expression and lead to disease. We presented a method for identifying liver cancer-related enhancer SNPs through integrating GWAS and histone modification ChIP-seq data. We identified 22 liver cancer-related enhancer SNPs, 9 of which were regulatory SNPs involved in distal transcriptional regulation. The results highlight that these enhancer SNPs may play important roles in liver cancer.

引用

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