Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Mixed-model and transcriptome-wide association analyses identify transcription factors and genes associated with colorectal cancer susceptibility.

Zhishan Chen | Wenqiang Song | Qing Li | Chao Li | Wanqing Wen | Jeroen R Huyghe | Philip J Law | Ceres Fernandez-Rozadilla | Maria N Timofeeva | Minta Thomas | Stephanie L Schmit | Vicente Martin | Matthew Devall | Christopher Dampier | Ferran Moratalla-Navarro | Qiuyin Cai | Jifeng Wang | Jiajun Shi | Sun-Seog Kweon | Chizu Tanikawa | Wei-Hua Jia | Xiang Shu | Jirong Long | Jing Gao | Jeongseon Kim | Aesun Shin | Keitaro Matsuo | Sun Ha Jee | Keum Ji Jung | Nan Wang | Dong-Hyun Kim | Jie Ping | Gong Yang | Min-Ho Shin | Zefang Ren | Jae Hwan Oh | Isao Oze | Yoon-Ok Ahn | Yu-Tang Gao | Zhi-Zhong Pan | Yoichiro Kamatani | Luc Van Kaer | Lan Wu | Bingshan Li | Koichi Matsuda | Xiao-Ou Shu | Li Hsu | Malcolm G Dunlop | Stephen B Gruber | Richard Houlston | Ian Tomlinson | Li Li | Ken S Lau | Victor Moreno | Graham Casey | Ulrike Peters | Wei Zheng | Xingyi Guo
Nature communications | 2026

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 key regulators of CRC risk. Integrating these TF insights with transcriptome-wide association studies (TWAS), we further evaluate associations between genetically predicted gene expression, alternative splicing, and alternative polyadenylation with CRC risk, using RNA-seq data from 364 Asian-ancestry and 707 European-ancestry individuals. Multi-ancestry TWAS identify 222 risk genes, including 95 novel genes and 48 potentially druggable targets. Single-cell analysis provides additional functional evidence supporting ~45% of these genes, and experimental validation confirms oncogenic roles for RHPN2, IRS2, and TXN. Our findings elucidate key TF-gene regulatory networks and uncover novel CRC risk genes.

Pubmed ID: 41540004

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: NCI NIH HHS, United States
    Id: P30 CA008748
  • Agency: NCI NIH HHS, United States
    Id: R01 CA269589
  • Agency: NCI NIH HHS, United States
    Id: R01 CA297582
  • Agency: NCI NIH HHS, United States
    Id: R37 CA227130

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


Addgene (tool)

RRID:SCR_002037

Non-profit plasmid repository dedicated to helping scientists around the world share high-quality plasmids. Facilitates archiving and distributing DNA-based research reagents and associated data to scientists worldwide. Repository contains over 65,000 plasmids, including special collections on CRISPR, fluorescent proteins, and ready-to-use viral preparations. There is no cost for scientists to deposit plasmids, which saves time and money associated with shipping plasmids themselves. All plasmids are fully sequenced for validation and sequencing data is openly available. We handle the appropriate Material Transfer Agreements (MTA) with institutions, facilitating open exchange and offering intellectual property and liability protection for depositing scientists. Furthermore, we curate free educational resources for the scientific community including a blog, eBooks, video protocols, and detailed molecular biology resources.

View all literature mentions

ChEMBL (tool)

RRID:SCR_014042

Collection of bioactive drug-like small molecules that contains 2D structures, calculated properties and abstracted bioactivities. Used for drug discovery and chemical biology research. Clinical progress of new compounds is continuously integrated into the database.

View all literature mentions

Open Targets (tool)

RRID:SCR_014622

A public–private initiative that supports research that provides evidence on the biological validity of therapeutic targets and that gain insight into the effectiveness of pharmacological intervention. It aims to provide a research and development framework that applies human disease. It shares its information openly.

View all literature mentions

GENCODE (tool)

RRID:SCR_014966

Human and mouse genome annotation project which aims to identify all gene features in the human genome using computational analysis, manual annotation, and experimental validation.

View all literature mentions

PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

View all literature mentions