Evidence map›Paper›PMID 40094662›Full record

ArticleJAMA network open2025

Genomic Screening at a Single Health System.

Juliann M Savatt, Melissa A Kelly, Amy C Sturm, Cara Z McCormick, Marc S Williams, Michelle Pistner Nixon, David D Rolston, Natasha T Strande, Karen E Wain, Huntington F Willard and 4 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

14 authors.

Juliann M SavattGeisinger, Danville, Pennsylvania.
Melissa A KellyGeisinger, Danville, Pennsylvania.
Amy C SturmGeisinger, Danville, Pennsylvania.
Cara Z McCormickGeisinger, Danville, Pennsylvania.
Marc S WilliamsGeisinger, Danville, Pennsylvania.
Michelle Pistner NixonGeisinger, Danville, Pennsylvania.
David D RolstonGeisinger, Danville, Pennsylvania.
Natasha T StrandeGeisinger, Danville, Pennsylvania.
Karen E WainGeisinger, Danville, Pennsylvania.
Huntington F WillardGeisinger, Danville, Pennsylvania.
W Andrew FaucettGeisinger, Danville, Pennsylvania.
David H LedbetterGeisinger, Danville, Pennsylvania.
Adam H BuchananGeisinger, Danville, Pennsylvania.
Christa L MartinGeisinger, Danville, Pennsylvania.

Funding

GENE DOSAGE IMBALANCE IN NEURODEVELOPMENTAL DISORDERSR01MH074090 · NIMH · GEISINGER CLINIC · PI David H. Ledbetter, CHRISTA LESE MARTIN · 2005 to 2026
$13.5M
NIMH NIH HHS R01 MH074090
6 · The paper itself

Abstract

Importance: Completion of the Human Genome Project prompted predictions that genomics would transform medicine, including through genomic screening that identifies potentially medically actionable findings that could prevent disease, detect it earlier, or treat it better. However, genomic screening remains anchored in research and largely unavailable as part of routine care. Objective: To summarize 11 years of experience with genomic screening and explore the landscape of genomic screening efforts. Design, Setting, and Participants: This cohort study was based in Geisinger's MyCode Community Health Initiative, a genomic screening program in a rural Pennsylvania health care system in which patient-participants exomes are analyzed. Main Outcomes and Measures: Genomic screen-positive rates were evaluated and stratified by condition type (cancer, cardiovascular, other) and US Centers for Disease Control and Prevention (CDC) Tier 1 designation. The proportion of participants previously unaware of their genomic result was assessed. Other large-scale population-based genomic screening efforts with genomic results disclosure were compiled from public resources. Results: A total of 354 957 patients participated in Geisinger's genomic screening program (median [IQR] age, 54 [36-69] years; 194 037 [59.7%] assigned female sex at birth). As of June 2024, 175 500 participants had exome sequencing available for analysis, and 5934 participants (3.4%) had a pathogenic variant in 81 genes known to increase risk for disease. Between 2013 and July 2024, 5119 results were disclosed to 5052 eligible participants, with 2267 (44.2%) associated with risk for cardiovascular disease, 2031 (39.7%) with risk for cancer, and 821 (16.0%) with risk for other conditions. Most results (3040 [59.4%]) were in genes outside of those with a CDC Tier 1 designation. Nearly 90% of participants (4425 [87.6%]) were unaware of their genomic risk prior to disclosure. In a survey of large-scale biobanks with genomic and electronic health record (EHR) data, only 25.0% (6 of 24) disclosed potentially actionable genomic results. Conclusions and Relevance: In this large, genomics-informed cohort study from a single health system, 1 in 30 participants had a potentially actionable genomic finding. However, nearly 90% were unaware of their risk prior to screening, demonstrating the utility of genomic screening in identifying at-risk individuals. Most large-scale biobanks with genomic and EHR data did not return genomic results with potential medical relevance, missing opportunities to significantly improve genomic risk ascertainment for these individuals and to perform longitudinal studies of clinical and implementation outcomes in diverse settings.

Indexed as

Genetic TestingGenomicsAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedPennsylvania

Identifiers

PMID40094662
PMCPMC11915069

What OpenQuestion holds

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LicenceCC BY
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.