Discrepancy between Genetically Predicted and Observed Alcohol Intake and Its Impact on Gastric Cancer Susceptibility
Year: 2025
Type: article
Study design: Observational Study
Abstract: PURPOSE: We aimed to investigate how genetic predisposition to drinking and gastric cancer (GC) modifies the association between alcohol consumption and GC risk in the Korean population. MATERIALS AND METHODS: Polygenic risk scores for GC (PRS-GC) and alcohol consumption (PRS-Alcohol) were formulated using genome-wide association results from BioBank Japan. Validation was performed using Korean cohorts (SNUBH-GENIE cohort), incorporating 8,846 controls and 531 patients with GC. Subsequently, these PRSs were applied to an independent Korean cohort of 67,771 participants, including 313 patients with GC during the follow-up for 14 years (KoGES cohort). RESULTS: In KoGES cohort, the influence of alcohol consumption on GC risk was significantly altered by the PRS-GC and exhibited a synergistic interaction effect. PRS-Alcohol itself shows a negative correlation with GC risk. However, when actual alcohol consumption significantly exceeded genetically predicted levels, the risk of alcohol-related GC was notably increased (adjusted hazard ratio, 1.32; 95% confidence interval, 1.01 to 1.72). Heavy drinkers in the high-PRS-GC/low-PRS-Alcohol group had a 2.16 times higher risk of GC than non-to-light drinkers, which was prominent in males. CONCLUSION: Korean drinkers with higher PRS-GC who consume alcohol more than genetically predicted levels are susceptible to GC. PRS-GC and PRS-Alcohol may be beneficial for assessing the impact of alcohol consumption on GC risk in Koreans.
Source: Cancer Research and Treatment
DOI: 10.4143/crt.2025.109
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: diamond
Funders: Seoul National University Bundang Hospital, Korea Disease Control and Prevention Agency, National Research Foundation, Seoul National University, Ministry of Trade, Industry and Energy, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, National Supercomputing Center, Korea Institute of Science and Technology Information
OpenAlex ID: W4410874013
