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DOI | 10.1101/gr.175034.114 |
Unbiased analysis of potential targets of breast cancer susceptibility loci by Capture Hi-C | |
Dryden, Nicola H.1; Broome, Laura R.1; Dudbridge, Frank2; Johnson, Nichola1; Orr, Nick1; Schoenfelder, Stefan3; Nagano, Takashi3; Andrews, Simon4; Wingett, Steven4; Kozarewa, Lwanka1; Assiotis, Loannis1; Fenwick, Kerry1; Maguire, Sarah L.1; Campbell, James1; Natrajan, Rachael1; Lambros, Maryou1; Perrakis, Eleni1; Ashworth, Alan1; Fraser, Peter3; Fletcher, Olivia1 | |
通讯作者 | Fletcher, Olivia |
来源期刊 | GENOME RESEARCH
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ISSN | 1088-9051 |
EISSN | 1549-5469 |
出版年 | 2014 |
卷号 | 24期号:11页码:1854-1868 |
英文摘要 | Genome-wide association studies have identified more than 70 common variants that are associated with breast cancer risk. Most of these variants map to non-protein-coding regions and several map to gene deserts, regions of several hundred kilobases lacking protein-coding genes. We hypothesized that gene deserts harbor long-range regulatory elements that can physically interact with target genes to influence their expression. To test this, we developed Capture Hi-C (CHi-C), which, by incorporating a sequence capture step into a Hi-C protocol, allows high-resolution analysis of targeted regions of the genome. We used CHi-C to investigate long-range interactions at three breast cancer gene deserts mapping to 2q35, 8q24.21, and 9q31.2. We identified interaction peaks between putative regulatory elements ("bait fragments") within the captured regions and "targets" that included both protein-coding genes and long noncoding (Inc) RNAs over distances of 6.6 kb to 2.6 Mb. Target protein-coding genes were IGFBP5, KLF4, NSMCE2, and MYC; and target IncRNAs included DIRC3, PVT1, and CCDC26. For one gene desert, we were able to define two SNPs (rs12613955 and rs4442975) that were highly correlated with the published risk variant and that mapped within the bait end of an interaction peak. In vivo ChIP-qPCR data show that one of these, rs4442975, affects the binding of FOXA1 and implicate this SNP as a putative functional variant. |
类型 | Article |
语种 | 英语 |
国家 | England |
收录类别 | SCI-E |
WOS记录号 | WOS:000344442000013 |
WOS关键词 | GENOME-WIDE ASSOCIATION ; LONG-RANGE INTERACTION ; HIGH-RESOLUTION ; NUCLEAR-ORGANIZATION ; COMMON VARIANTS ; CHROMATIN STATE ; IN-VITRO ; GENE ; CONFORMATION ; ANNOTATION |
WOS类目 | Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Genetics & Heredity |
WOS研究方向 | Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Genetics & Heredity |
来源机构 | University of London |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/182202 |
作者单位 | 1.Inst Canc Res, Breakthrough Breast Canc Res Ctr, London 5W3 6JB, England; 2.London Sch Hyg & Trop Med, Dept Noncommunicable Dis Epidemiol, London WC1E 7HT, England; 3.Babraham Inst, Nucl Dynam Programme, Cambridge CB22 3AT, England; 4.Babraham Bioinformat, Babraham Inst, Cambridge CB22 3AT, England |
推荐引用方式 GB/T 7714 | Dryden, Nicola H.,Broome, Laura R.,Dudbridge, Frank,et al. Unbiased analysis of potential targets of breast cancer susceptibility loci by Capture Hi-C[J]. University of London,2014,24(11):1854-1868. |
APA | Dryden, Nicola H..,Broome, Laura R..,Dudbridge, Frank.,Johnson, Nichola.,Orr, Nick.,...&Fletcher, Olivia.(2014).Unbiased analysis of potential targets of breast cancer susceptibility loci by Capture Hi-C.GENOME RESEARCH,24(11),1854-1868. |
MLA | Dryden, Nicola H.,et al."Unbiased analysis of potential targets of breast cancer susceptibility loci by Capture Hi-C".GENOME RESEARCH 24.11(2014):1854-1868. |
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