Evidence map›Paper›PMID 39360752›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2025

Cost-effectiveness of population-wide genomic screening for Lynch Syndrome and polygenic risk scores to inform colorectal cancer screening.

Shangqing Jiang, Gregory F Guzauskas, Shawn Garbett, John A Graves, Marc S Williams, Jing Hao, Jinyi Zhu, Gail P Jarvik, Josh J Carlson, Josh F Peterson and 1 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

11 authors.

Shangqing JiangThe Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, WA.
Gregory F GuzauskasThe Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, WA.
Shawn GarbettDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN.
John A GravesDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, TN.
Marc S WilliamsDepartment of Genomic Health, Geisinger, Danville, PA.
Jing HaoDepartment of Genomic Health, Geisinger, Danville, PA; Department of Population Health Sciences, Geisinger, Danville, PA.
Jinyi ZhuDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, TN.
Gail P JarvikDepartments of Medicine (Medical Genetics) and Genome Sciences, University of Washington Medical Center, Seattle, WA.
Josh J CarlsonThe Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, WA.
Josh F PetersonDepartment of Biomedical Informatics and Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
David L VeenstraThe Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, WA. Electronic address: veenstra@uw.edu.

Funding

Variation, Function, and Disease Supplement ProgramU01HG008657 · NHGRI · UNIVERSITY OF WASHINGTON · PI David Russell Crosslin, Gail Pairitz Jarvik · 2015 to 2026
$13.4M
Rational Integration of Polygenic Risk Scores (RIPS)R01HG012262 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jing Hao, Joseph F. Peterson · 2022 to 2026
$4.6M
NHGRI NIH HHS R01 HG012262NHGRI NIH HHS U01 HG008657
6 · The paper itself

Abstract

purposeGenomic screening to identify individuals with Lynch Syndrome (LS) and those with a high polygenic risk score (PRS) promises to personalize colorectal cancer (CRC) screening. Understanding its clinical and economic impact is needed to inform screening guidelines and reimbursement policies.

methodsWe developed a Markov model to simulate individuals over a lifetime. We compared LS+PRS genomic screening with standard of care (SOC) for a cohort of US adults at age 30. The Markov model included health states of no CRC, CRC stages (A-D), and death. We estimated incidence, mortality, and discounted economic outcomes of the population under different interventions.

resultsScreening 1000 individuals for LS+PRS resulted in 1.36 fewer CRC cases and 0.65 fewer deaths compared with SOC. The incremental cost-effectiveness ratio was $124,415 per quality-adjusted life year; screening had a 69% probability of being cost-effective using a willingness-to-pay threshold of $150,000/quality-adjusted life year . Setting the PRS threshold at the 90th percentile of the LS+PRS screening program to define individuals at high risk was most likely to be cost-effective compared with 95th, 85th, and 80th percentiles.

conclusionPopulation-level LS+PRS screening is marginally cost-effective, and a threshold of 90th percentile is more likely to be cost-effective than other thresholds.

Indexed as

Colorectal NeoplasmsColorectal Neoplasms, Hereditary NonpolyposisEarly Detection of CancerGenetic TestingMultifactorial InheritanceAdultCost-Benefit AnalysisFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreGenomicsHumansMaleMarkov ChainsMiddle AgedQuality-Adjusted Life YearsColorectal cancerCost-utility analysisGenetic testingLynch syndromePolygenic risk scores

Identifiers

PMID39360752
PMCPMC12805663

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Registered trials

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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.