Electronic medical records (EMRs) combined with genetic data are a powerful resource for discovering relationships between genes and diseases, and can show which genes are shared between diseases. Resources across the US and world have linked EMR data to genotypes. Our goal is to create an online web portal cataloguing disease-gene relationships in UK Biobank and combine with other accessible EMR-linked sets in the United States. Results will include data-driven risk scores for use in personalized clinical diagnosis, a catalog of genetic and non-genetic factors and their associations with multiple diseases for exploration of relationships between diseases, and summaries of the impact of medications on off-label indications to guide clinical trials for drug repurposing and for possible discovery of negative side-effects. A web portal cataloging our results will serve as a valuable, publicly available resource which may yield unique insights into the genetic factors underlying human disease, and can help to validate findings from other resources. Our approach has the potential to improve understanding of multiple diseases including cancer, cardiovascular disease, metabolic dysfunction, neurological disease, and immune system disorders, and opens the door to personalized medicine approaches that may impact clinical diagnosis, treatment, and prevention strategies.
