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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6631702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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