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

Exposome Pub Date : 2024-02-12 eCollection Date: 2024-01-01 DOI:10.1093/exposome/osae002
Dillon Lloyd, John S House, Farida S Akhtari, Charles P Schmitt, David C Fargo, Elizabeth H Scholl, Jason Phillips, Shail Choksi, Ruchir Shah, Janet E Hall, Alison A Motsinger-Reif
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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.

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在个性化环境与基因研究中,对常见疾病进行基于问卷的全暴露关联研究。
暴露体是指从子宫内开始并持续一生的所有暴露,不仅包括点源污染和臭氧水平等标准环境暴露,还包括饮食、药物、生活方式因素、压力和职业等暴露。暴露组与个体遗传和表观遗传特征相互作用,影响人类健康和疾病,但描述暴露组特征及其与人类疾病关系的大规模研究非常有限。为了填补这一空白,我们使用了来自北卡罗来纳州个性化环境与基因研究(PEGS,n = 9,429)的大量问卷数据,以评估暴露与常见疾病的关系。我们进行了一项全暴露体关联研究(ExWAS),研究了单一暴露模型及其与 11 种常见复杂疾病的关联,即过敏性鼻炎、哮喘、骨质疏松、子宫肌瘤、高胆固醇、高血压、缺铁性贫血、卵巢囊肿、下消化道息肉、偏头痛和 2 型糖尿病。在各种疾病中,我们发现与生活方式因素、社会经济地位以及石棉、各种粉尘、生物危险材料和纺织品相关接触有关。我们还发现了与特定疾病的关联,如钓鱼与铅重和偏头痛。为了区分重复结果和新发现,我们使用了一种基于人工智能的文献搜索和数据库工具,该工具允许我们检查当前的文献。我们既发现了重复结果,尤其是睡眠和吸烟等生活方式因素与不同疾病的关系,也发现了新发现,尤其是职业暴露与多种疾病的关系。
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Exposomics: perfection not required. A long and winding road: Culture change on data sharing in exposomics Interactive data sharing for multiple questionnaire-based exposome-wide association studies and exposome correlations in the Personalized Environment and Genes Study. Questionnaire-based exposome-wide association studies for common diseases in the Personalized Environment and Genes Study. Decoding the exposome: Data science methodologies and implications in Exposome-Wide association studies (ExWASs)
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