PheMIME: An Interactive Web App and Knowledge Base for Phenome-Wide, Multi-Institutional Multimorbidity Analysis.
PheWAS
UK Biobank
electrical health records (EHR)
interactive network analysis
interoperability and reproducibility
multimorbidity
Journal
medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986
Informations de publication
Date de publication:
30 Jul 2023
30 Jul 2023
Historique:
pubmed:
7
8
2023
medline:
7
8
2023
entrez:
7
8
2023
Statut:
epublish
Résumé
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. PheMIME integrates summary statistics from phenome-wide analyses of disease multimorbidities. These are currently derived from three major institutions: Vanderbilt University Medical Center, Mass General Brigham, and the UK Biobank. PheMIME offers interactive exploration of multimorbidity through multi-faceted visualization. Incorporating an enhanced version of associationSubgraphs, PheMIME enables dynamic analysis and inference of disease clusters, promoting the discovery of multimorbidity patterns. Once a disease of interest is selected, the tool generates interactive visualizations and tables that users can delve into multimorbidities or multimorbidity networks within a single system or compare across multiple systems. The utility of PheMIME is demonstrated through a case study on schizophrenia. The PheMIME knowledge base and web application are accessible at https://prod.tbilab.org/PheMIME/. A comprehensive tutorial, including a use-case example, is available at https://prod.tbilab.org/PheMIME_supplementary_materials/. Furthermore, the source code for PheMIME can be freely downloaded from https://github.com/tbilab/PheMIME. The data underlying this article are available in the article and in its online web application or supplementary material.
Identifiants
pubmed: 37547012
doi: 10.1101/2023.07.23.23293047
pmc: PMC10402210
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NCATS NIH HHS
ID : UL1 TR000445
Pays : United States
Organisme : NCRR NIH HHS
ID : S10 RR025141
Pays : United States
Organisme : NIGMS NIH HHS
ID : RC2 GM092618
Pays : United States
Organisme : NIGMS NIH HHS
ID : P50 GM115305
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01 HG006378
Pays : United States
Organisme : NHLBI NIH HHS
ID : U19 HL065962
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH118233
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD074711
Pays : United States
Organisme : NIDDK NIH HHS
ID : R21 DK127075
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR024975
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS032830
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01 HG004798
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002243
Pays : United States
Déclaration de conflit d'intérêts
Competing Interest Statement The authors have declared no competing interest.