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Genome-wide enhancer-gene regulatory maps link causal variants to target genes underlying human cancer risk

Author

Listed:
  • Pingting Ying

    (Wuhan University
    Zhongnan Hospital of Wuhan University
    Renmin Hospital of Wuhan University)

  • Can Chen

    (Wuhan University
    Zhongnan Hospital of Wuhan University
    Renmin Hospital of Wuhan University)

  • Zequn Lu

    (Wuhan University
    Zhongnan Hospital of Wuhan University
    Renmin Hospital of Wuhan University)

  • Shuoni Chen

    (Wuhan University)

  • Ming Zhang

    (Wuhan University)

  • Yimin Cai

    (Wuhan University)

  • Fuwei Zhang

    (Wuhan University)

  • Jinyu Huang

    (Wuhan University)

  • Linyun Fan

    (Wuhan University)

  • Caibo Ning

    (Wuhan University)

  • Yanmin Li

    (Wuhan University)

  • Wenzhuo Wang

    (Wuhan University)

  • Hui Geng

    (Wuhan University)

  • Yizhuo Liu

    (Wuhan University)

  • Wen Tian

    (Wuhan University)

  • Zhiyong Yang

    (Zhongnan Hospital of Wuhan University)

  • Jiuyang Liu

    (Wuhan University)

  • Chaoqun Huang

    (Wuhan University)

  • Xiaojun Yang

    (Wuhan University)

  • Bin Xu

    (Wuhan University)

  • Heng Li

    (Huazhong University of Science and Technology)

  • Xu Zhu

    (Renmin Hospital of Wuhan University)

  • Ni Li

    (Chinese Academy of Medical Sciences and Peking Union Medical College)

  • Bin Li

    (Wuhan University)

  • Yongchang Wei

    (Zhongnan Hospital of Wuhan University)

  • Ying Zhu

    (Wuhan University)

  • Jianbo Tian

    (Wuhan University
    Zhongnan Hospital of Wuhan University
    Renmin Hospital of Wuhan University)

  • Xiaoping Miao

    (Wuhan University
    Zhongnan Hospital of Wuhan University
    Renmin Hospital of Wuhan University
    Huazhong University of Sciences and Technology)

Abstract

Genome-wide association studies have identified numerous variants associated with human complex traits, most of which reside in the non-coding regions, but biological mechanisms remain unclear. However, assigning function to the non-coding elements is still challenging. Here we apply Activity-by-Contact (ABC) model to evaluate enhancer-gene regulation effect by integrating multi-omics data and identified 544,849 connections across 20 cancer types. ABC model outperforms previous approaches in linking regulatory variants to target genes. Furthermore, we identify over 30,000 enhancer-gene connections in colorectal cancer (CRC) tissues. By integrating large-scale population cohorts (23,813 cases and 29,973 controls) and multipronged functional assays, we demonstrate an ABC regulatory variant rs4810856 associated with CRC risk (Odds Ratio = 1.11, 95%CI = 1.05–1.16, P = 4.02 × 10−5) by acting as an allele-specific enhancer to distally facilitate PREX1, CSE1L and STAU1 expression, which synergistically activate p-AKT signaling. Our study provides comprehensive regulation maps and illuminates a single variant regulating multiple genes, providing insights into cancer etiology.

Suggested Citation

  • Pingting Ying & Can Chen & Zequn Lu & Shuoni Chen & Ming Zhang & Yimin Cai & Fuwei Zhang & Jinyu Huang & Linyun Fan & Caibo Ning & Yanmin Li & Wenzhuo Wang & Hui Geng & Yizhuo Liu & Wen Tian & Zhiyong, 2023. "Genome-wide enhancer-gene regulatory maps link causal variants to target genes underlying human cancer risk," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41690-z
    DOI: 10.1038/s41467-023-41690-z
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    1. Joseph K. Pickrell & John C. Marioni & Athma A. Pai & Jacob F. Degner & Barbara E. Engelhardt & Everlyne Nkadori & Jean-Baptiste Veyrieras & Matthew Stephens & Yoav Gilad & Jonathan K. Pritchard, 2010. "Understanding mechanisms underlying human gene expression variation with RNA sequencing," Nature, Nature, vol. 464(7289), pages 768-772, April.
    2. Joseph Nasser & Drew T. Bergman & Charles P. Fulco & Philine Guckelberger & Benjamin R. Doughty & Tejal A. Patwardhan & Thouis R. Jones & Tung H. Nguyen & Jacob C. Ulirsch & Fritz Lekschas & Kristy Mu, 2021. "Genome-wide enhancer maps link risk variants to disease genes," Nature, Nature, vol. 593(7858), pages 238-243, May.
    3. Fredrick R. Schumacher & Stephanie L. Schmit & Shuo Jiao & Christopher K. Edlund & Hansong Wang & Ben Zhang & Li Hsu & Shu-Chen Huang & Christopher P. Fischer & John F. Harju & Gregory E. Idos & Flavi, 2015. "Genome-wide association study of colorectal cancer identifies six new susceptibility loci," Nature Communications, Nature, vol. 6(1), pages 1-7, November.
    4. Song Wu & Scott Powers & Wei Zhu & Yusuf A. Hannun, 2016. "Substantial contribution of extrinsic risk factors to cancer development," Nature, Nature, vol. 529(7584), pages 43-47, January.
    5. Kaivalya Walavalkar & Bharath Saravanan & Anurag Kumar Singh & Ranveer Singh Jayani & Ashwin Nair & Umer Farooq & Zubairul Islam & Deepanshu Soota & Rajat Mann & Padubidri V. Shivaprasad & Matthew L. , 2020. "A rare variant of African ancestry activates 8q24 lncRNA hub by modulating cancer associated enhancer," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
    6. Fredrick R. Schumacher & Stephanie L. Schmit & Shuo Jiao & Christopher K. Edlund & Hansong Wang & Ben Zhang & Li Hsu & Shu-Chen Huang & Christopher P. Fischer & John F. Harju & Gregory E. Idos & Flavi, 2015. "Correction: Corrigendum: Genome-wide association study of colorectal cancer identifies six new susceptibility loci," Nature Communications, Nature, vol. 6(1), pages 1-1, December.
    7. Anshul Kundaje & Wouter Meuleman & Jason Ernst & Misha Bilenky & Angela Yen & Alireza Heravi-Moussavi & Pouya Kheradpour & Zhizhuo Zhang & Jianrong Wang & Michael J. Ziller & Viren Amin & John W. Whit, 2015. "Integrative analysis of 111 reference human epigenomes," Nature, Nature, vol. 518(7539), pages 317-330, February.
    8. Carles A. Boix & Benjamin T. James & Yongjin P. Park & Wouter Meuleman & Manolis Kellis, 2021. "Regulatory genomic circuitry of human disease loci by integrative epigenomics," Nature, Nature, vol. 590(7845), pages 300-307, February.
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