| Title: | The impact of genetic and environmental risk factors on adverse liver outcomes |
| Journal: | International Journal of Cancer |
| Published: | 4 Dec 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41345374/ |
| DOI: | https://doi.org/10.1002/ijc.70259 |
Publication 16744
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Abstract
To what extent environmental factors are associated with liver diseases and liver cancer among individuals with varying levels of genetic predisposition remains unknown. In 353,703 UK Biobank participants, a validated polygenic risk score (PRS) for liver steatosis (PNPLA3, TM6SF2, MBOAT7, GCKR, and HSD17B13 variants) and an environmental risk score (ERS) from six known risk factors (obesity, type 2 diabetes mellitus, smoking, frequent alcohol intake, physical inactivity, and infrequent coffee intake) were calculated. Incident outcomes were identified from hospital records and cancer registries. The genetics by environment (G × E) interactions and population attributable risks (PARs) for each ERS tertile were calculated, stratified by PRS tertile. We identified 3801 MASLD, 3458 liver cirrhosis, and 674 liver cancer in a median 13.6-year follow-up. PRS contributes 13.3% (95%CI: 10.8-15.9%) for MASLD, 8.2% (5.5-10.9%) for cirrhosis, and 14.7% (8.6-20.7%) for liver cancer. ERS contributes 34.1% (32.1-36.1%) for MASLD, 25.6% (23.1-28.1%) for cirrhosis, and 25.4% (19.2-31.5%) for liver cancer. Significant G × E interactions (p-interaction <.05) were found for liver cirrhosis and liver cancer where risk attributed to ERS was greater in the high versus the low PRS tertile. For liver cancer, PAR of the high versus low ERS was 36.5% (27.3-45.0%) in the high PRS tertile, compared to 16.5% (4.7-27.9%) in the low PRS tertile. High environmental risk showed greater contributions among participants with high genetic risk for liver cirrhosis and liver cancer. These stronger G × E interactions in clinically severe liver diseases underscore the importance of risk stratification and precision medicine.</p>
13 Authors
- Xinyuan Zhang
- Longgang Zhao
- Peter T. Campbell
- Yun Chen
- Aiping Fang
- Zhenqiu Liu
- Xue Li
- Wanshui Yang
- Jiangao Fan
- Jessica L. Petrick
- Katherine A. McGlynn
- Michelle Lai
- Xuehong Zhang
1 Application
| Application ID | Title |
|---|---|
| 87303 | Improving liver health in humans: Elucidating the role of genetics, biomarkers, and environment in liver biology, etiology, progression, and prognosis |
Enabling scientific discoveries that improve human health