A roadmap to precision medicine through post-genomic electronic medical records
Kevin M. Mendez,
Stacey N. Reinke,
Rachel S. Kelly,
Qingwen Chen,
Mark Su,
Michael McGeachie,
Scott Weiss,
David I. Broadhurst () and
Jessica A. Lasky-Su ()
Additional contact information
Kevin M. Mendez: Brigham and Women’s Hospital and Harvard Medical School
Stacey N. Reinke: Edith Cowan University
Rachel S. Kelly: Brigham and Women’s Hospital and Harvard Medical School
Qingwen Chen: Brigham and Women’s Hospital and Harvard Medical School
Mark Su: Personal Care Physicians of Greater Newburyport
Michael McGeachie: Brigham and Women’s Hospital and Harvard Medical School
Scott Weiss: Brigham and Women’s Hospital and Harvard Medical School
David I. Broadhurst: Edith Cowan University
Jessica A. Lasky-Su: Brigham and Women’s Hospital and Harvard Medical School
Nature Communications, 2025, vol. 16, issue 1, 1-12
Abstract:
Abstract The promise of integrating Electronic Medical Records (EMR) and genetic data for precision medicine has largely fallen short due to its omission of environmental context over time. Post-genomic data can bridge this gap by capturing the real-time dynamic relationship between underlying genetics and the environment. This perspective highlights the pivotal role of integrating EMR and post-genomics for personalized health, reflecting on lessons from past efforts, and outlining a roadmap of challenges and opportunities that must be addressed to realize the potential of precision medicine.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56442-4
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DOI: 10.1038/s41467-025-56442-4
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