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Zhang S, Strayer N, Vessels T, Choi K, Wang GW, Li Y, Bejan CA, Hsi RS, Bick AG, Velez Edwards DR, Savona MR, Philips EJ, Pulley J, Self WH, Hopkins WC, Roden DM, Smoller JW, Ruderfer DM, Xu Y. PheMIME: An Interactive Web App and Knowledge Base for Phenome-Wide, Multi-Institutional Multimorbidity Analysis. MedRxiv : the preprint server for health sciences. 2023 Jul 30.
Abstract
Multimorbidity, characterized by the simultaneous occurrence of multiple diseases in an individual, is an increasing global health concern, posing substantial challenges to healthcare systems. Comprehensive understanding of disease-disease interactions and intrinsic mechanisms behind multimorbidity can offer opportunities for innovative prevention strategies, targeted interventions, and personalized treatments. Yet, there exist limited tools and datasets that characterize multimorbidity patterns across different populations. To bridge this gap, we used large-scale electronic health record (EHR) systems to develop the Phenome-wide Multi-Institutional Multimorbidity Explorer (PheMIME), which facilitates research in exploring and comparing multimorbidity patterns among multiple institutions, potentially leading to the discovery of novel and robust disease associations and patterns that are interoperable across different systems and organizations.