Evidence map›Paper›PMID 39669589›Full record

ArticleGenetics in medicine open2024

Tracking updates in clinical databases increases efficiency for variant reanalysis.

Lele Li, Xia Tian, Vaughan Woodzell, Richard A Gibbs, Bo Yuan, Eric Venner

Abstract read
In one paragraph

Article in Genetics in medicine open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

6 authors.

Lele LiThe Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX.
Xia TianThe Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX.
Vaughan WoodzellCodified Genomics, Houston, TX.
Richard A GibbsThe Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX.
Bo YuanThe Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX.
Eric VennerThe Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Variant interpretation, guided by American College of Medical Genetics and Genomics guidelines, can inform clinical decision-making. However, interpretations may change over time for a variety of reasons. Periodic reanalysis of previous variant interpretations is important to ensure that reported genetic findings remain accurate according to current knowledge. Methods: We performed automated filtering by comparing ClinVar variants available in August 2020 with those from August 2021 to screen for potential reanalysis candidates from 3 projects. These variants were subsequently interpreted based on the American College of Medical Genetics and Genomics/Association for Molecular Pathology variant interpretation guideline or ClinGen revised gene-specific guidelines if applicable. Results: Our method annotated 241 unique variants requiring reanalysis, from 3 projects containing 3,832,210 previously interpreted variants, including those filtered automatically. Among these 241 variants, 43 variants changed interpretation, including 55.81% ( Conclusion: We demonstrated an effective high-throughput method, initiating from external data updates, to achieve variant reanalysis in a clinical laboratory. This filtering method reduced the number of variants that need to be reanalyzed, screened potential variants, and saved time and cost for clinical laboratories.

Indexed as

ACMG guidelineClinVarEfficiencyReanalysisScreening

Identifiers

PMID39669589
PMCPMC11613846

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.