journal article·2026-05Open access

Mapping Genetic Regulation of Transcription to Identify Functional Variants and Genes Associated with Pancreatic Cancer Risk

Xiaoyang Wang, Hui Geng, Zhengyan Yao, Yuan Jiang, Can Chen, Zequn Lu, Shuangshuang Tian, Ming Zhang, Ruiyan Liu, Chenxi Feng, Bin Li, Xiaoping Miao, Jianbo Tian, Shaokai Zhang, Ying Zhu

Advanced Science· Volume 13· Issue 29

Abstract

ABSTRACT Pancreatic cancer is one of the most lethal malignancies. Genome‐wide association studies (GWAS) identify multiple susceptibility loci, but most map to noncoding regions, leaving variant‐to‐gene links unresolved. In this study, a genome‐wide regulatory map is constructed using expression quantitative trait loci (eQTL) analysis of 482 pancreatic tissues, and integrated with a GWAS meta‐analysis to prioritize causal variants. A total of 82 significant variants and 15 target genes for pancreatic cancer risk are identified, with enrichment in cancer‐related pathways. The variant rs11102484 is validated in an independent cohort of 569 cases and 2691 controls. The combined analysis of 5699 cases and 8467 controls confirms that the G allele of rs11102484 significantly reduces pancreatic cancer risk (odds ratio = 0.85, 95% confidence interval = 0.80–0.90, P = 4.83 × 10 −8 ). Functional assays demonstrate that the G allele impairs ZNF263 binding at rs11102484, thereby weakening a long‐range silencer‐promoter interaction and increasing ST7L expression. Elevated ST7L dampens AKT/β‐catenin signaling and suppresses pancreatic cancer cell proliferation, consistent with the protective association. Overall, this study implicates functional genes in pancreatic cancer risk and characterizes a regulatory variant that modulates ST7L expression, advancing the interpretation of GWAS findings and understanding of pancreatic cancer biology.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Pancreatic and Hepatic Oncology Research · Genetic Associations and Epidemiology · Bioinformatics and Genomic Networks

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Epidemiology and Biostatistics School of Public Health Wuhan University Wuhan China

Department of Cancer Epidemiology The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital Zhengzhou China

College of Public Health Zhengzhou University Zhengzhou China

State Key Laboratory of Metabolism and Regulation in Complex Organisms TaiKang Center for Life and Medical Sciences, Wuhan University Wuhan China

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China

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