Prioritization of risk genes in colorectal cancer by integrative analysis of multi-omics data and gene networks

被引:7
作者
Zhang, Ming [1 ,2 ,3 ,4 ]
Wang, Xiaoyang [1 ,2 ,3 ,5 ,6 ]
Yang, Nan [1 ,2 ,3 ,4 ]
Zhu, Xu [7 ]
Lu, Zequn [1 ,2 ,3 ]
Cai, Yimin [1 ,2 ,3 ]
Li, Bin [1 ,2 ,3 ]
Zhu, Ying [1 ,2 ,3 ]
Li, Xiangpan [8 ]
Wei, Yongchang [9 ]
Zhang, Shaokai [5 ,6 ]
Tian, Jianbo [1 ,2 ,3 ,4 ]
Miao, Xiaoping [1 ,2 ,3 ,4 ,10 ,11 ]
机构
[1] Wuhan Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Wuhan 430071, Peoples R China
[2] Wuhan Univ, Dept Gastrointestinal Surg, Zhongnan Hosp, Wuhan 430071, Peoples R China
[3] Wuhan Univ, Taikang Ctr Life & Med Sci, Wuhan 430071, Peoples R China
[4] Wuhan Univ, Renmin Hosp, Res Ctr Publ Hlth, Wuhan 430060, Peoples R China
[5] Zhengzhou Univ, Affiliated Canc Hosp, Dept Canc Epidemiol, Zhengzhou 450008, Peoples R China
[6] Henan Canc Hosp, Henan Engn Res Ctr Canc Prevent & Control, Henan Int Joint Lab Canc Prevent, Zhengzhou 450008, Peoples R China
[7] Wuhan Univ, Dept Gastrointestinal Surg, Renmin Hosp, Wuhan 430060, Peoples R China
[8] Wuhan Univ, Dept Radiat Oncol, Renmin Hosp, Wuhan 430060, Peoples R China
[9] Wuhan Univ, Hubei Canc Clin Study Ctr, Dept Gastrointestinal Oncol, Zhongnan Hosp, Wuhan 430062, Peoples R China
[10] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Publ Hlth, Dept Epidemiol & Biostat, Wuhan, Peoples R China
[11] Nanjing Med Univ, Jiangsu Collaborat Innovat Ctr Canc Personalized M, Nanjing 211166, Peoples R China
基金
中国国家自然科学基金;
关键词
susceptibility genes; gene screening models; multi-omics; GWAS; CEBPB; long-range promoter-enhancer interactions; GENOME-WIDE ASSOCIATION; SUSCEPTIBILITY LOCI; IDENTIFIES; VARIANTS; GWAS; METAANALYSIS; EXPRESSION; PREDICTION; CANDIDATE; PROSTATE;
D O I
10.1007/s11427-023-2439-7
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Genome-wide association studies (GWASs) have identified over 140 colorectal cancer (CRC)-associated loci; however, target genes at the majority of loci and underlying molecular mechanisms are poorly understood. Here, we utilized a Bayesian approach, integrative risk gene selector (iRIGS), to prioritize risk genes at CRC GWAS loci by integrating multi-omics data. As a result, a total of 105 high-confidence risk genes (HRGs) were identified, which exhibited strong gene dependencies for CRC and enrichment in the biological processes implicated in CRC. Among the 105 HRGs, CEBPB, located at the 20q13.13 locus, acted as a transcription factor playing critical roles in cancer. Our subsequent assays indicated the tumor promoter function of CEBPB that facilitated CRC cell proliferation by regulating multiple oncogenic pathways such as MAPK, PI3K-Akt, and Ras signaling. Next, by integrating a fine-mapping analysis and three independent case-control studies in Chinese populations consisting of 8,039 cases and 12,775 controls, we elucidated that rs1810503, a putative functional variant regulating CEBPB, was associated with CRC risk (OR=0.90, 95%CI=0.86-0.93, P=1.07x10(-7)). The association between rs1810503 and CRC risk was further validated in three additional multi-ancestry populations consisting of 24,254 cases and 58,741 controls. Mechanistically, the rs1810503 A to T allele change weakened the enhancer activity in an allele-specific manner to decrease CEBPB expression via long-range promoter-enhancer interactions, mediated by the transcription factor, REST, and thus decreased CRC risk. In summary, our study provides a genetic resource and a generalizable strategy for CRC etiology investigation, and highlights the biological implications of CEBPB in CRC tumorigenesis, shedding new light on the etiology of CRC.
引用
收藏
页码:132 / 148
页数:17
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