暴露的
医学
环境卫生
疾病
维生素D与神经学
全国健康与营养检查调查
混淆
人口
生理学
糖化血红素
人体测量学
体质指数
风险评估
生命银行
表型
老年学
香烟烟雾
生物信息学
流行病学
糖尿病
血脂异常
病理
肺功能测试
烟草烟雾
作者
Chirag J. Patel,J. P. A. Ioannidis,Arjun K. Manrai
标识
DOI:10.1038/s41591-026-04266-0
摘要
Nongenetic exposures comprising the 'exposome', including diet, lifestyle, infections and pollutants, shape many clinical phenotypes yet the evidence remains fragmented. Here we conducted an exposome-wide association study incorporating 619 exposure indicators and 305 quantitative phenotypes across ten independent waves of the US Centers for Disease Control and Prevention National Health and Nutrition Examination Survey. Replicable and stable signals were most concentrated in cardiometabolic and anthropometric phenotypes, linking objective nutrient biomarkers and lipophilic pollutants with body mass index, glycated hemoglobin and lipid profiles. Triglycerides, an important marker for cardiovascular risk, emerged as the phenotype most strongly associated with multidomain exposures, notably trans fatty acids, persistent pollutants and vitamin E isoforms. In pulmonary traits, tobacco-specific and carcinogen biomarkers were more prominently associated with reduced lung function than short-lived nicotine metabolites, refining exposomic links to forced expiratory volume in 1 s. Whereas individual exposures showed modest effects, aggregate 'poly-exposomic' models explained phenotypic variation comparable to genome-wide polygenic scores. Exposome globes further reveal an interconnected architecture where exposures rarely act in isolation, complicating causal attribution while providing a more holistic view of environmental risk. Our findings highlight which exposures are most likely to add value to disease risk assessment, population surveillance as well as further exposure prioritization and next-generation longitudinal exposomics.
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