Péter S, Navis G, de Borst MH, von Schacky C, van Orten-Luiten AB, Zhernakova A, Witkamp RF, Janse A, Weber P, Bakker SJL, Eggersdorfer M.
iScience. 2020 Jan 24; 23(1): 100765
Exposure Science Transcriptomics Epidemiology Molecular Epidemiology Proteomics Risk Assessment Environmental Epidemiology Exposome Metabolomics Organ-on-a-chip Drug research Metabolic Health Food Environment Nutritional Epidemiology Bioinformatics Cardiovascular Health Genetics Clinical Epidemiology Information Systems Geosciences Sensors Geospatial analyses Multilevel modelling Air quality Epigenomics Computational modelling Metagenomics Ethics Geoinformatics Green space Noise Big Data Microplastics
We know far less about the exposome than we do about the human genome. So far, we only understand about half of the disease burden for which we know the environment plays a role. If we want to prevent people from becoming ill, then we need to understand the other half too. We therefore want to systematically analyse the exposome for the first time. We will start with research into the causes of cardiovascular disease and type 2 diabetes. The techniques and insights from this research will also be applicable to other chronic conditions.
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