An atlas of exposome-phenome associations in health and disease risk
Summary
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 cardiometabol
Content
# An atlas of exposome-phenome associations in health and disease risk
*Published: 2026 Apr*
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.
DOI: 10.1038/s41591-026-04266-0