Article
Mixed-model and transcriptome-wide association analyses identify transcription factors and genes associated with colorectal cancer susceptibility.
Nature communications - 15 Jan 2026
Chen Zhishan, Song Wenqiang, Li Qing, Li Chao, Wen Wanqing, Huyghe Jeroen R, Law Philip J, Fernandez-Rozadilla Ceres, Timofeeva Maria N, Thomas Minta, Schmit Stephanie L, Martin Vicente, Devall Matthew, Dampier Christopher, Moratalla-Navarro Ferran, Cai Qiuyin, Wang Jifeng, Shi Jiajun, Kweon Sun-Seog, Tanikawa Chizu, Jia Wei-Hua, Shu Xiang, Long Jirong, Gao Jing, Kim Jeongseon, Shin Aesun, Matsuo Keitaro, Jee Sun Ha, Jung Keum Ji, Wang Nan, Kim Dong-Hyun, Ping Jie, Yang Gong, Shin Min-Ho, Ren Zefang, Oh Jae Hwan, Oze Isao, Ahn Yoon-Ok, Gao Yu-Tang, Pan Zhi-Zhong, Kamatani Yoichiro, Van Kaer Luc, Wu Lan, Li Bingshan, Matsuda Koichi, Shu Xiao-Ou, Hsu Li, Dunlop Malcolm G, Gruber Stephen B, Houlston Richard, Tomlinson Ian, Li Li, Lau Ken S, Moreno Victor, Casey Graham, Peters Ulrike, Zheng Wei, Guo Xingyi
Abstract excerpt
Susceptibility transcription factors (TF) whose DNA bindings are altered by genetic variants regulating colorectal cancer (CRC) risk genes remain poorly defined. Using generalized linear mixed models, we analyze 218 TF ChIP-Seq datasets alongside GWAS data from 100,204 CRC cases and 154,587 controls of East Asian and European ancestries. We identify 51 TFs and TF-cofactor interactions, including VDR-cofactors, as...
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