Evidence map›Paper›PMID 39962039›Full record

ReviewNature communications2025

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, Jessica A Lasky-Su

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Reimagining pharmacology education.Pharmacological reviews · 2026
    Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kevin M MendezChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8832-2607
Stacey N ReinkeCentre for Integrative Metabolomics & Computational Biology, School of Science, Edith Cowan University, Perth, Australia.
Rachel S KellyChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3023-1822
Qingwen ChenChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-2946-4947
Mark SuPersonal Care Physicians of Greater Newburyport, Newburyport, MA, USA.
Michael McGeachieChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-5566-2712
Scott WeissChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
David I BroadhurstCentre for Integrative Metabolomics & Computational Biology, School of Science, Edith Cowan University, Perth, Australia. d.broadhurst@ecu.edu.au.ORCID http://orcid.org/0000-0003-0775-9581
Jessica A Lasky-SuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. jessica.su@channing.harvard.edu.ORCID http://orcid.org/0000-0001-6236-4705

Funding

Omic Determinants of Longitudinal Lung Function in AsthmaR01HL155742 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LASKY-SU, JESSICA A, MCGEACHIE, MICHAEL JOHN · 2021 to 2025
$3.9M
Multi-Omic Endotyping of AsthmaK01HL146980 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI KELLY, RACHEL SABINE · 2019 to 2023
$891k
NHLBI NIH HHS K01 HL146980NHLBI NIH HHS R01 HL155742U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) 125474
6 · The paper itself

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.

Indexed as

Electronic Health RecordsGenomicsPrecision MedicineHumans

Identifiers

PMID39962039
PMCPMC11833060

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.