Using health data to understand the causes of disease

  • Health Data Research UK’s Understanding the Causes of Disease programme aims to help advance understanding of disease prediction, causation, and
    progression through the integration of molecular data and other intermediate phenotypes with routine clinical data.

    The overarching hypothesis is that insights into biology and disease aetiology can be revealed by integration of information, at scale, on genomics, other biomolecular traits, and high-resolution electronic health records (EHRs).

    The ultimate vision is to create new informatics infrastructures and data science methods that help achieve a deep integration of biology, biomedicine, and population health science.

  • We use data from technologies that are able to describe human diseases in detail. Through this we can reveal insights into biology and disease at scale.

    This biodata is linked to electronic health records to help us target treatment for diseases, tailor medicines for sub-types of disease (instead of a one-size-fits-all approach), as well as predict patients’ reaction to medicines.