Evidence map›Paper›PMID 41950923›Full record

ArticleAmerican journal of human genetics2026

Measuring disease likelihood in genomic ascertainment.

Julie C Sapp, Katie L Lewis, Emily W Modlin, Alana Davidson, Charlotte Linton Early, Adam H Buchanan, Alexis Darling, Jacquelyn Mahder, Cara Z McCormick, Allison J de Moya and 8 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Julie C SappCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: sappj@mail.nih.gov.
Katie L LewisCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Emily W ModlinCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Alana DavidsonCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Charlotte Linton EarlyCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Adam H BuchananDepartment of Genomic Health, Geisinger, Danville, PA 17822, USA.
Alexis DarlingCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Jacquelyn MahderPWN Health, New York, NY 10011, USA.
Cara Z McCormickDepartment of Genomic Health, Geisinger, Danville, PA 17822, USA.
Allison J de MoyaCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Brooke RosenblumCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Morgan SimilukCentralized Sequencing Program, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Kelly TangneyColor Health, Burlingame, CA 94010, USA.
Meghan C TowneAmbry Genetics, Aliso Viejo, CA 92656, USA.
Clesson TurnerCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Caralynn M WilczewskiCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Jennifer J JohnstonCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Leslie G BieseckerCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the yield, predictive power, and utility of a secondary finding is critical for policy development and can help inform discussions for population screening. Because American College of Medical Genetics and Genomics (ACMG) Secondary Findings guidelines are applied in diverse testing contexts, we recruited participants from multiple sources to address these questions. We assessed our first 1,500 inquiries to review the disorders/genes that were returned to these individuals. After eligibility screening, we enrolled 227 recipients and completed genotyping, cascade testing, and phenotyping efforts for 163 probands. From evaluating these families, it became clear that there were highly variable outcomes for the diagnostic yield of secondary findings. To objectively and quantitatively assess this, we developed a method to measure the likelihood that the family was, in fact, affected with the disorder associated with the secondary finding variant. We assessed this in detail for 59 families who had a secondary finding of BRCA1- or BRCA2-related cancer predisposition. Our estimates of the likelihood of a valid clinicomolecular diagnosis ranged from 26.2% to 100%. Over half (51%) of the families met criteria for diagnostic testing, indicating that diagnostic testing for these disorders is underused and that secondary findings testing is being applied inappropriately to these families. These results will be useful for policy refinement for secondary findings and are also relevant to considerations of population genomic screening.

Indexed as

Genetic Predisposition to DiseaseGenetic TestingGenomicsFemaleGenotypeHumansLikelihood FunctionsMalePhenotypeReturn of Individual Research Resultsgenomic ascertainmentgenomic screeningsecondary findings

Identifiers

PMID41950923
PMCPMC13277679

What OpenQuestion holds

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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.