医学
肝硬化
肝癌
遗传倾向
内科学
人口
生命银行
风险评估
风险因素
癌症
糖尿病
环境卫生
脂肪变性
可归因风险
肝病
胃肠病学
肝损伤
血色病
2型糖尿病
人口分层
多基因风险评分
脂肪变
基因-环境相互作用
作者
Xinyuan Zhang,Xinyuan Zhang,Longgang Zhao,Peter T. Campbell,Yun Chen,Aiping Fang,Zhenqiu Liu,Xue Li,Wanshui Yang,Jian‐Gao Fan,Jessica L. Petrick,Katherine A. McGlynn,Michelle Lai,Xuehong Zhang,Xuehong Zhang
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI