Nature Communications (Sep 2023)

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

  • 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 Yang,
  • Jiuyang Liu,
  • Chaoqun Huang,
  • Xiaojun Yang,
  • Bin Xu,
  • Heng Li,
  • Xu Zhu,
  • Ni Li,
  • Bin Li,
  • Yongchang Wei,
  • Ying Zhu,
  • Jianbo Tian,
  • Xiaoping Miao

DOI
https://doi.org/10.1038/s41467-023-41690-z
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 20

Abstract

Read online

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.