Evidence map›Paper›PMID 39504018›Full record

ArticleJAMA network open2024

Clinical Variant Reclassification in Hereditary Disease Genetic Testing.

Yuya Kobayashi, Elaine Chen, Flavia M Facio, Hillery Metz, Sarah R Poll, Dan Swartzlander, Britt Johnson, Swaroop Aradhya

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Hypoparathyroidism with aJCEM case reports · 2026
    Article
  3. Tumor, germline, and paired testing in oncology: practical considerations.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease.Annals of clinical and translational neurology · 2026
    Article
  9. Article
  10. Pathogenicity Prediction of Missense Variations in Hereditary Cancer Genes.International journal of molecular sciences · 2026
    Article
  11. Not "just a VUS".Genetics in medicine open · 2026
    Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Yuya KobayashiLabcorp Genetics Inc (formerly Invitae Corporation), San Francisco, California.
Elaine ChenInvitae Corporation (now part of Labcorp Genetics), San Francisco, California.
Flavia M FacioLabcorp Genetics Inc (formerly Invitae Corporation), San Francisco, California.
Hillery MetzLabcorp Genetics Inc (formerly Invitae Corporation), San Francisco, California.
Sarah R PollLabcorp Genetics Inc (formerly Invitae Corporation), San Francisco, California.
Dan SwartzlanderLabcorp Genetics Inc (formerly Invitae Corporation), San Francisco, California.
Britt JohnsonInvitae Corporation (now part of Labcorp Genetics), San Francisco, California.
Swaroop AradhyaInvitae Corporation (now part of Labcorp Genetics), San Francisco, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Because accurate and consistent classification of DNA sequence variants is fundamental to germline genetic testing, understanding patterns of initial variant classification (VC) and subsequent reclassification from large-scale, empirical data can help improve VC methods, promote equity among race, ethnicity, and ancestry (REA) groups, and provide insights to inform clinical practice. Objectives: To measure the degree to which initial VCs met certainty thresholds set by professional guidelines and quantify the rates of, the factors associated with, and the impact of reclassification among more than 2 million variants. Design, Setting, and Participants: This cohort study used clinical multigene panel and exome sequencing data from diagnostic testing for hereditary disorders, carrier screening, or preventive genetic screening from individuals for whom genetic testing was performed between January 1, 2015, and June 30, 2023. Exposure: DNA variants were classified into 1 of 5 categories: benign, likely benign, variant of uncertain significance (VUS), likely pathogenic, or pathogenic. Main Outcomes and Measures: The main outcomes were accuracy of classifications, rates and directions of reclassifications, evidence contributing to reclassifications, and their impact across different clinical areas and REA groups. One-way analysis of variance followed by post hoc pairwise Tukey honest significant difference tests were used to analyze differences among means, and pairwise Pearson χ2 tests with Bonferroni corrections were used to compare categorical variables among groups. Results: The cohort comprised 3 272 035 individuals (median [range] age, 44 [0-89] years; 2 240 506 female [68.47%] and 1 030 729 male [31.50%]; 216 752 Black [6.62%]; 336 414 Hispanic [10.28%]; 1 804 273 White [55.14%]). Among 2 051 736 variants observed over 8 years in this cohort, 94 453 (4.60%) were reclassified. Some variants were reclassified more than once, resulting in 105 172 total reclassification events. The majority (64 752 events [61.65%]) were changes from VUS to either likely benign, benign, likely pathogenic, or pathogenic categories. An additional 37.66% of reclassifications (39 608 events) were gains in classification certainty to terminal categories (ie, likely benign to benign and likely pathogenic to pathogenic). Only a small fraction (663 events [0.63%]) moved toward less certainty, or very rarely (61 events [0.06%]) were classification reversals. When normalized by the number of individuals tested, VUS reclassification rates were higher among specific underrepresented REA populations (Ashkenazi Jewish, Asian, Black, Hispanic, Pacific Islander, and Sephardic Jewish). Approximately one-half of VUS reclassifications (37 074 of 64 840 events [57.18%]) resulted from improved use of data from computational modeling. Conclusions and Relevance: In this cohort study of individuals undergoing genetic testing, the empirically estimated accuracy of pathogenic, likely pathogenic, benign, and likely benign classifications exceeded the certainty thresholds set by current VC guidelines, suggesting the need to reevaluate definitions of these classifications. The relative contribution of various strategies to resolve VUS, including emerging machine learning-based computational methods, RNA analysis, and cascade family testing, provides useful insights that can be applied toward further improving VC methods, reducing the rate of VUS, and generating more definitive results for patients.

Indexed as

Genetic Diseases, InbornGenetic TestingAdolescentAdultChildCohort StudiesFemaleGenetic VariationHumansMaleMiddle AgedYoung Adult

Identifiers

PMID39504018
PMCPMC11541632

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.