Please use this identifier to cite or link to this item: https://doi.org/10.3390/metabo9060106
Title: Tackling the Complexity of the Exposome: Considerations from the Gunma University Initiative for Advanced Research (GIAR) Exposome Symposium
Authors: Zhang, Pei
Arora, Manish
Chaleckis, Romanas
Isobe, Tomohiko
Jain, Mohit
Meister, Isabel
Melen, Erik
Perzanowski, Matthew
Torta, Federico 
Wenk, Markus R 
Wheelock, Craig E
Keywords: Science & Technology
Life Sciences & Biomedicine
Biochemistry & Molecular Biology
exposome
metabolomics
exposure
epigenetics
environment
AIR-POLLUTION EXPOSURE
GENOME-WIDE
ENVIRONMENTAL EXPOSURES
BIOMARKERS
CHILDRENS
METABOLOMICS
ASSOCIATION
DISRUPTION
RATIONALE
SMOKING
Issue Date: 2019
Publisher: MDPI
Citation: Zhang, Pei, Arora, Manish, Chaleckis, Romanas, Isobe, Tomohiko, Jain, Mohit, Meister, Isabel, Melen, Erik, Perzanowski, Matthew, Torta, Federico, Wenk, Markus R, Wheelock, Craig E (2019). Tackling the Complexity of the Exposome: Considerations from the Gunma University Initiative for Advanced Research (GIAR) Exposome Symposium. METABOLITES 9 (6). ScholarBank@NUS Repository. https://doi.org/10.3390/metabo9060106
Abstract: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. The attempt to describe complex diseases by solely genetic determination has not been successful. There is increasing recognition that the development of disease is often a consequence of interactions between multiple genetic and environmental factors. To date, much of the research on environmental determinants of disease has focused on single exposures generally measured at a single time point. In order to address this limitation, the concept of the exposome has been introduced as a comprehensive approach, studying the full complement of environmental exposures from conception onwards. However, exposures are vast, dynamic, and diverse, and only a small proportion can be reasonably measured due to limitations in technology and feasibility. In addition, the interplay between genes and exposure as well as between different exposures is complicated and multifaceted, which leads to difficulties in linking disease or health outcomes with exposures. The large numbers of collected samples require well-designed logistics. Furthermore, the immense data sets generated from exposome studies require a significant computational investment for both data analysis and data storage. This report summarizes discussions during an international exposome symposium held at Gunma University in Japan regarding the concept of the exposome, challenges in exposome research, and future perspectives in the field. View Full-Text.
Source Title: METABOLITES
URI: https://scholarbank.nus.edu.sg/handle/10635/170637
ISSN: 22181989
22181989
DOI: 10.3390/metabo9060106
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