PheMIME & Phe-OmicsMIME: Interactive Visualizations for Phenome, Multi-Omics Multimorbidity Analysis

Oregon Convention Center 

To address the need for novel interactive visualization tools and databases in characterizing multimorbidity patterns across different populations, we developed PheMIME and Phe-OmicsMIME. Integrating data from three large-scale EHR systems and genetic Biobanks: VUMC, MGB and UK Biobank, these tools perform statistical network analysis for efficient visualization and disease subtype analysis, uncovering robust and novel disease links that are interoperable across different systems to aid personalized medicine. PheMIME integrates phenome-wide analyses(PheWAS) summary statistics and incorporates an enhanced version of associationSubgraphs, enabling dynamic inference of disease clusters. Phe-OmicsMIME predict multi-omics traits from genetic Biobank and integrates hazard ratios from time-to-event PheWAS, connecting gene-protein-metabolite-disease relationships. It facilitates exploration of the biomolecule-disease bipartite network and provides compelling evidence of shared pathways among diseases. These tools stand out as the first of their kind to offer extensive disease subtype knowledge integration with substantial support for efficient online analysis and interactive visualization.

interactive visualization

UK Biobank and Electronic Health Records (EHR)

network analysis and data science

interoperability and reproducibility

multimorbidity and PheWAS

personalized medicine 

Biometrics Section