Evidence map›Paper›PMID 39606344›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Distinct rates of VUS reclassification are observed when subclassifying VUS by evidence level.

Gwendolyn Bennett, Izabela Karbassi, Wenjie Chen, Steven M Harrison, Matthew S Lebo, Linyan Meng, Narasimhan Nagan, Robert Rigobello, Heidi L Rehm

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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

5 · Who and what money

Authors and funding

9 authors.

Gwendolyn BennettQuest Diagnostics, Secaucus, NJ, USA.ORCID 0009-0006-6372-5924
Izabela KarbassiQuest Diagnostics, Secaucus, NJ, USA.
Wenjie ChenLabcorp, Westborough, MA, USA.
Steven M HarrisonAmbry Genetics, Aliso Viejo, CA, USA.ORCID 0000-0002-9614-9111
Matthew S LeboLaboratory for Molecular Medicine, Mass General Brigham, Boston, MA, USA.ORCID 0000-0002-9733-5207
Linyan MengBaylor Genetics Laboratory, Houston, TX, USA.
Narasimhan NaganLabcorp, Westborough, MA, USA.
Robert RigobelloBaylor Genetics Laboratory, Houston, TX, USA.ORCID 0009-0009-2505-9694
Heidi L RehmLaboratory for Molecular Medicine, Mass General Brigham, Boston, MA, USA.ORCID 0000-0002-6025-0015

Funding

ClinGen AI Data Delivery SupplementU24HG006834 · NHGRI · BROAD INSTITUTE, INC. · PI Marina DiStefano, CHRISTA LESE MARTIN · 2021 to 2026
$26.7M
NHGRI NIH HHS U24 HG006834
6 · The paper itself

Abstract

Purpose: Genetic testing commonly yields a plethora of variants of uncertain significance (VUS) that can lead to ongoing uncertainty for patients and their caregivers. While all VUS hold uncertainty, some VUS have more evidence in support of pathogenicity while others have more evidence of a benign role. Sharing these nuances can help guide the investment in follow-up clinical and research investigations and may, at times, influence medical decision-making despite appreciated uncertainty. Methods: Four clinical laboratories have been subclassifying VUS to help prioritize investigation and guide reporting decisions. Each laboratory developed a distinct approach for how these subclasses are used in their laboratories and, in some cases, displayed on reports. We examined the composition of each laboratory's VUS subclasses and the likelihood variants from each subclass were reclassified towards pathogenic or benign. Conclusion: Given that forthcoming professional guidance in variant classification will advise the use of VUS subclasses, the experience of our laboratories in using VUS subclasses can inform future practices.

Identifiers

PMID39606344
PMCPMC11601763

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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.