17 January 2024 | Ming Kei Chung, John S. House, Farida S. Akhtari, Konstantinos C. Makris, Michael A. Langston, Khandaker Talat Islam, PhD, Holmes, Marc Chadeau-Hyam, Alex I. Smirnov, PhD, Xiaxia Du, PhD, Anne E. Thessen, PhD, Yuxia Cui, PhD, Kai Zhang, PhD, Arjun K. Manrai, PhD, Alison Motsinger-Reif, PhD, Chirag J. Patel, PhD and Members of the Exposomics Consortium
This paper explores the concept of the exposome and its role in understanding the interplay between environmental exposures and human health. It introduces two key concepts for exposomics research: the joint impact of genetics and environment on phenotypes, and the importance of advanced data-driven methods in large cohort studies for exposomic measurements. The paper advocates for the standardized use of the term "exposome-wide association study (ExWAS)" to facilitate clear communication and literature retrieval in this field. The authors discuss the complexity of quantifying the exposome's influence on health outcomes, emphasizing the variance attributable to shared and nonshared environmental factors. They also introduce ExWAS, a systematic approach designed to identify significant associations between phenotypes and various exposures while controlling for multiple comparisons. The paper extends to emerging topics such as FAIR Data Principles, biobanked healthcare datasets, and the functional exposome, outlining future directions in exposomic research. The authors provide a comprehensive overview of their approach to understanding the complex dynamics of the exposome and its implications for human health.This paper explores the concept of the exposome and its role in understanding the interplay between environmental exposures and human health. It introduces two key concepts for exposomics research: the joint impact of genetics and environment on phenotypes, and the importance of advanced data-driven methods in large cohort studies for exposomic measurements. The paper advocates for the standardized use of the term "exposome-wide association study (ExWAS)" to facilitate clear communication and literature retrieval in this field. The authors discuss the complexity of quantifying the exposome's influence on health outcomes, emphasizing the variance attributable to shared and nonshared environmental factors. They also introduce ExWAS, a systematic approach designed to identify significant associations between phenotypes and various exposures while controlling for multiple comparisons. The paper extends to emerging topics such as FAIR Data Principles, biobanked healthcare datasets, and the functional exposome, outlining future directions in exposomic research. The authors provide a comprehensive overview of their approach to understanding the complex dynamics of the exposome and its implications for human health.