The characterisation of the exposome and of its health consequences defines a complex research framework, which requires the development of novel analytical strategies combining statistical, data science, and bioinformatic approaches. The cross-cutting theme on statistical developments will develop and implement new statistical tools that will be used in Exposome-NL. These tools will be made available via Bioconductor both internally and externally to Exposome-NL, and yearly training workshops will be organized to disseminate knowledge throughout Exposome-NL. During the course of Exposome-NL new data challenges will arise and the project will adapt its research in later years based on identified unified data-problems within Exposome-NL.
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.Read More