Abstract Number:
2092
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Speed
Participants:
Siwei Zhang (1), Nick Strayer (2), Tess Vessels (3), Dan Roden (4), Douglas Ruderfer (3), Yaomin Xu (1)
Institutions:
(1) Vanderbilt University Medical Center, Nashville, TN, (2) Posit PBC, Boston, MA, (3) Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, (4) Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN
Co-Author(s):
Tess Vessels
Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center
Dan Roden
Department of Pharmacology, Vanderbilt University Medical Center
Douglas Ruderfer
Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center
Yaomin Xu
Vanderbilt University Medical Center
First Author:
Presenting Author:
Abstract Text:
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.
Keywords:
interactive visualization|UK Biobank and Electronic Health Records (EHR)|network analysis and data science|interoperability and reproducibility|multimorbidity and PheWAS|personalized medicine
Sponsors:
Biometrics Section
Tracks:
Miscellaneous
Can this be considered for alternate subtype?
Yes
Are you interested in volunteering to serve as a session chair?
Yes
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.
I understand