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IR@PKUHSC  > 北京大学第二临床医学院  > 胃肠外科  > 期刊论文
学科主题: 临床医学
题名:
Expression QTL-based analyses reveal the mechanisms underlying colorectal cancer predisposition
作者: Zhang, Jizhun1; Jiang, Kewei1; Shen, Zhanlong1; Gao, Zhidong1; Lv, Liang1,2; Ye, Yingjiang1; Wang, Shan1
关键词: Colorectal cancer ; GWAS ; eQTL
刊名: TUMOR BIOLOGY
发表日期: 2014-12-01
DOI: 10.1007/s13277-014-2583-8
卷: 35, 期:12, 页:12607-12611
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Oncology
研究领域[WOS]: Oncology
关键词[WOS]: GENE-EXPRESSION ; SNP RS6983267 ; DISEASE ; MYC
英文摘要:

Genome-wide association studies have identified many risk loci associated with colorectal cancer. Strategies integrating biological data sets with GWAS results will provide insights into the roles of risk single-nucleotide polymorphisms. We performed expression quantitative trait locus-based analyses using the information provided in The Cancer Genome Atlas. Analysis of the cis-expression quantitative trait loci (eQTLs) of 18 previously reported colorectal cancer risk loci resulted in the discovery of five variants that were significantly associated with gene expressions. Analysis of the trans-eQTLs identified three risk loci that affect the expression levels of a neighboring transcription factor, MYC. These findings provide a more comprehensive picture of gene expression determinants in colorectal cancer and insights into the underlying biology of risk loci.

语种: 英语
所属项目编号: 81372291 ; 81372290
项目资助者: National Natural Science Foundation of China
WOS记录号: WOS:000346863700107
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/52360
Appears in Collections:北京大学第二临床医学院_胃肠外科_期刊论文

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作者单位: 1.Peking Univ Peoples Hosp, Dept Surg Gastroenterol, Beijing 100044, Peoples R China
2.Qingdao Univ, Affiliated Hosp, Dept Gen Surg, Qingdao 266000, Shandong, Peoples R China

Recommended Citation:
Zhang, Jizhun,Jiang, Kewei,Shen, Zhanlong,et al. Expression QTL-based analyses reveal the mechanisms underlying colorectal cancer predisposition[J]. TUMOR BIOLOGY,2014,35(12):12607-12611.
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