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  5. The architecture of exposome-phenome associations

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Preprint
en
2025

The architecture of exposome-phenome associations

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en
2025
DOI: 10.1101/2025.06.05.25329055

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John P A Ioannidis
John P A Ioannidis

Stanford University

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Chirag J. Patel
John P A Ioannidis
Arjun K. Manrai

Abstract

Non-genetic exposures including nutrients, lifestyle factors, consumables, and pollutants substantially contribute to phenotypic variation. Most studies assess only a few exposures or phenotypes, yielding fragmented exposome-phenome relationships. Systematic approaches are needed to quantify how the exposome the totality of environmental exposures relates broadly to clinically relevant phenotypes. We developed a resource benchmarking the role of the exposome using data from the National Health and Nutrition Examination Survey (NHANES), cataloging 619 exposures and 278 phenotypes, and systematically testing associations (Phenotype-exposure-wide association study [P-ExWAS]). Among 119k associations, 5% (n=5,661) were Bonferroni significant, and 40% replicated across independent population samples. Single exposures explained modest variance (median R-squared=0.5%; interquartile range [IQR]: 0.27 - 1.10%). Twenty simultaneous exposome factors increased median variance explained to 3.5% (IQR: 1.8 - 7.8%), comparable to 1M genetic variants. The exposome-phenome atlas is available at: http://apps.chiragjpgroup.org/pe_atlas/.

How to cite this publication

Chirag J. Patel, John P A Ioannidis, Arjun K. Manrai (2025). The architecture of exposome-phenome associations. , DOI: https://doi.org/10.1101/2025.06.05.25329055.

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Publication Details

Type

Preprint

Year

2025

Authors

3

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1101/2025.06.05.25329055

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