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Tackling the Complexity of the Exposome: Considerations from the Gunma University Initiative for Advanced Research (GIAR) Exposome Symposium

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...

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Autores principales: Zhang, Pei, Arora, Manish, Chaleckis, Romanas, Isobe, Tomohiko, Jain, Mohit, Meister, Isabel, Melén, Erik, Perzanowski, Matthew, Torta, Federico, Wenk, Markus R., Wheelock, Craig E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631702/
https://www.ncbi.nlm.nih.gov/pubmed/31174297
http://dx.doi.org/10.3390/metabo9060106
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author Zhang, Pei
Arora, Manish
Chaleckis, Romanas
Isobe, Tomohiko
Jain, Mohit
Meister, Isabel
Melén, Erik
Perzanowski, Matthew
Torta, Federico
Wenk, Markus R.
Wheelock, Craig E.
author_facet Zhang, Pei
Arora, Manish
Chaleckis, Romanas
Isobe, Tomohiko
Jain, Mohit
Meister, Isabel
Melén, Erik
Perzanowski, Matthew
Torta, Federico
Wenk, Markus R.
Wheelock, Craig E.
author_sort Zhang, Pei
collection PubMed
description 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.
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spelling pubmed-66317022019-08-19 Tackling the Complexity of the Exposome: Considerations from the Gunma University Initiative for Advanced Research (GIAR) Exposome Symposium Zhang, Pei Arora, Manish Chaleckis, Romanas Isobe, Tomohiko Jain, Mohit Meister, Isabel Melén, Erik Perzanowski, Matthew Torta, Federico Wenk, Markus R. Wheelock, Craig E. Metabolites Conference Report 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. MDPI 2019-06-06 /pmc/articles/PMC6631702/ /pubmed/31174297 http://dx.doi.org/10.3390/metabo9060106 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Conference Report
Zhang, Pei
Arora, Manish
Chaleckis, Romanas
Isobe, Tomohiko
Jain, Mohit
Meister, Isabel
Melén, Erik
Perzanowski, Matthew
Torta, Federico
Wenk, Markus R.
Wheelock, Craig E.
Tackling the Complexity of the Exposome: Considerations from the Gunma University Initiative for Advanced Research (GIAR) Exposome Symposium
title Tackling the Complexity of the Exposome: Considerations from the Gunma University Initiative for Advanced Research (GIAR) Exposome Symposium
title_full Tackling the Complexity of the Exposome: Considerations from the Gunma University Initiative for Advanced Research (GIAR) Exposome Symposium
title_fullStr Tackling the Complexity of the Exposome: Considerations from the Gunma University Initiative for Advanced Research (GIAR) Exposome Symposium
title_full_unstemmed Tackling the Complexity of the Exposome: Considerations from the Gunma University Initiative for Advanced Research (GIAR) Exposome Symposium
title_short Tackling the Complexity of the Exposome: Considerations from the Gunma University Initiative for Advanced Research (GIAR) Exposome Symposium
title_sort tackling the complexity of the exposome: considerations from the gunma university initiative for advanced research (giar) exposome symposium
topic Conference Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631702/
https://www.ncbi.nlm.nih.gov/pubmed/31174297
http://dx.doi.org/10.3390/metabo9060106
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