28 Apr 2021 14.30 - 30 Apr 2021 17.00Livestream
The ISGlobal Exposome Hub, the ISGlobal Severo Ochoa Programme and the ATHLETE project are running this exposome data challenge event. The aim is to promote innovative statistical, data science, or other quantitative approaches to studying the health effects of complex high-throughput measurement of exposure indicators (exposome).
The data challenge event will bring together experts from the fields of environmental epidemiology and biostatistics from around the world including Marc Chadeau-Hyam from Imperial College, one of the LongITools Partners.
Participants will be offered the opportunity to test their statistical methods of choice on a real case scenario exposome dataset. Abstracts are also invited by 8th March 2021. The dataset will include multiple health outcomes (continuous and categorical), multiple exposures, -omics and additional non-exposure variables (e.g., potential confounders).
To find out more please visit the event website.
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