Author Identifier (ORCID)

Kevin M. Mendez: https://orcid.org/0000-0002-8832-2607

Stacey N. Reinke: https://orcid.org/0000-0002-0758-0330

David I. Broadhurst: https://orcid.org/0000-0003-0775-9581

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.

Document Type

Journal Article

Date of Publication

2-17-2025

Volume

16

Issue

1

PubMed ID

39962039

Publication Title

Nature Communications

Publisher

Nature

School

School of Science

Funders

National Heart, Lung, and Blood Institute (R01HL155742)

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Comments

Mendez, K. M., Reinke, S. N., Kelly, R. S., Chen, Q., Su, M., McGeachie, M., ... & Lasky-Su, J. A. (2025). A roadmap to precision medicine through post-genomic electronic medical records. Nature Communications, 16(1). https://doi.org/10.1038/s41467-025-56442-4

First Page

1700

Share

 
COinS
 

Link to publisher version (DOI)

10.1038/s41467-025-56442-4

Link to publisher version (DOI)

10.1038/s41467-025-56442-4