Questionnaire-based exposome-wide association studies for common diseases in the Personalized Environment and Genes Study

Author:

Lloyd Dillon1,House John S1ORCID,Akhtari Farida S1,Schmitt Charles P2ORCID,Fargo David C3,Scholl Elizabeth H4,Phillips Jason4,Choksi Shail4,Shah Ruchir4,Hall Janet E5,Motsinger-Reif Alison A1ORCID

Affiliation:

1. Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences , Durham, NC, USA

2. Division of Translational Toxicology, National Institute of Environmental Health Sciences , Durham, NC, USA

3. Office of the Director, National Institute of Environmental Health Sciences , Durham, NC, USA

4. Sciome LLC , Durham, NC, USA

5. Clinical Research Branch, National Institute of Environmental Health Sciences , Durham, NC, USA

Abstract

Abstract The exposome collectively refers to all exposures, beginning in utero and continuing throughout life, and comprises not only standard environmental exposures such as point source pollution and ozone levels but also exposures from diet, medication, lifestyle factors, stress, and occupation. The exposome interacts with individual genetic and epigenetic characteristics to affect human health and disease, but large-scale studies that characterize the exposome and its relationships with human disease are limited. To address this gap, we used extensive questionnaire data from the diverse North Carolina-based Personalized Environment and Genes Study (PEGS, n = 9, 429) to evaluate exposure associations in relation to common diseases. We performed an exposome-wide association study (ExWAS) to examine single exposure models and their associations with 11 common complex diseases, namely allergic rhinitis, asthma, bone loss, fibroids, high cholesterol, hypertension, iron-deficient anemia, ovarian cysts, lower GI polyps, migraines, and type 2 diabetes. Across diseases, we found associations with lifestyle factors and socioeconomic status as well as asbestos, various dust types, biohazardous material, and textile-related exposures. We also found disease-specific associations such as fishing with lead weights and migraines. To differentiate between a replicated result and a novel finding, we used an AI-based literature search and database tool that allowed us to examine the current literature. We found both replicated findings, especially for lifestyle factors such as sleep and smoking across diseases, and novel findings, especially for occupational exposures and multiple diseases.

Funder

National Institutes of Health

National Institute of Environmental Health Sciences

Publisher

Oxford University Press (OUP)

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