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Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine

Objective: Most diseases result from the complex interplay between genetic and environmental factors. The exposome can be defined as a systematic approach to acquire large data sets corresponding to environmental exposures of an individual along her/ his life. The objective of this contribution is t...

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Autores principales: Martin-Sanchez, Fernando, Bellazzi, Riccardo, Casella, Vittorio, Dixon, William, Lopez-Campos, Guillermo, Peek, Niels
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7442499/
https://www.ncbi.nlm.nih.gov/pubmed/32303099
http://dx.doi.org/10.1055/s-0040-1701975
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author Martin-Sanchez, Fernando
Bellazzi, Riccardo
Casella, Vittorio
Dixon, William
Lopez-Campos, Guillermo
Peek, Niels
author_facet Martin-Sanchez, Fernando
Bellazzi, Riccardo
Casella, Vittorio
Dixon, William
Lopez-Campos, Guillermo
Peek, Niels
author_sort Martin-Sanchez, Fernando
collection PubMed
description Objective: Most diseases result from the complex interplay between genetic and environmental factors. The exposome can be defined as a systematic approach to acquire large data sets corresponding to environmental exposures of an individual along her/ his life. The objective of this contribution is to raise awareness within the health informatics community about the importance of dealing with data related to the contribution of environmental factors to individual health, particularly in the context of precision medicine informatics. Methods: This article summarizes the main findings after a panel organized by the International Medical Informatics Association - Exposome Informatics Working Group held during the last MEDINFO, in Lyon (France) in August 2019. Results: The members of our community presented four initiatives (PULSE, Digital exposome, Cloudy with a chance of pain, Wearable clinics), providing a detailed view of current challenges and accomplishments in processing environmental and social data from a health research perspective. Projects illustrate a wide range of research methods, digital data collection technologies, and analytics and visualization tools. This reinforces the idea that this area is now ready for health informaticians to step in and contribute their expertise, leading the application of informatics strategies to understand environmental health problems. Conclusions: The featured projects illustrate applications that use exposome data for the investigation of the causes of diseases, health care, patient empowerment, and public health. They offer a rich overview of the expanding range of applications that informatics is finding in the field of environmental health, with potential impact in precision medicine.
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spelling pubmed-74424992020-08-24 Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine Martin-Sanchez, Fernando Bellazzi, Riccardo Casella, Vittorio Dixon, William Lopez-Campos, Guillermo Peek, Niels Yearb Med Inform Objective: Most diseases result from the complex interplay between genetic and environmental factors. The exposome can be defined as a systematic approach to acquire large data sets corresponding to environmental exposures of an individual along her/ his life. The objective of this contribution is to raise awareness within the health informatics community about the importance of dealing with data related to the contribution of environmental factors to individual health, particularly in the context of precision medicine informatics. Methods: This article summarizes the main findings after a panel organized by the International Medical Informatics Association - Exposome Informatics Working Group held during the last MEDINFO, in Lyon (France) in August 2019. Results: The members of our community presented four initiatives (PULSE, Digital exposome, Cloudy with a chance of pain, Wearable clinics), providing a detailed view of current challenges and accomplishments in processing environmental and social data from a health research perspective. Projects illustrate a wide range of research methods, digital data collection technologies, and analytics and visualization tools. This reinforces the idea that this area is now ready for health informaticians to step in and contribute their expertise, leading the application of informatics strategies to understand environmental health problems. Conclusions: The featured projects illustrate applications that use exposome data for the investigation of the causes of diseases, health care, patient empowerment, and public health. They offer a rich overview of the expanding range of applications that informatics is finding in the field of environmental health, with potential impact in precision medicine. Georg Thieme Verlag KG 2020-08 2020-04-17 /pmc/articles/PMC7442499/ /pubmed/32303099 http://dx.doi.org/10.1055/s-0040-1701975 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Martin-Sanchez, Fernando
Bellazzi, Riccardo
Casella, Vittorio
Dixon, William
Lopez-Campos, Guillermo
Peek, Niels
Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine
title Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine
title_full Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine
title_fullStr Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine
title_full_unstemmed Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine
title_short Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine
title_sort progress in characterizing the human exposome: a key step for precision medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7442499/
https://www.ncbi.nlm.nih.gov/pubmed/32303099
http://dx.doi.org/10.1055/s-0040-1701975
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