Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine.
Journal
Yearbook of medical informatics
ISSN: 2364-0502
Titre abrégé: Yearb Med Inform
Pays: Germany
ID NLM: 9312666
Informations de publication
Date de publication:
Aug 2020
Aug 2020
Historique:
pubmed:
18
4
2020
medline:
17
4
2021
entrez:
18
4
2020
Statut:
ppublish
Résumé
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. 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. 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. 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.
Identifiants
pubmed: 32303099
doi: 10.1055/s-0040-1701975
pmc: PMC7442499
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
115-120Subventions
Organisme : Versus Arthritis
ID : 21225
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_13042
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K006665/1
Pays : United Kingdom
Informations de copyright
Georg Thieme Verlag KG Stuttgart.
Déclaration de conflit d'intérêts
Disclosure The authors report no conflicts of interest in this work.
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