Evidence map›Paper›PMID 30900393›Full record

ArticleMolecular genetics & genomic medicine2019

Clinical validity assessment of genes for inclusion in multi-gene panel testing: A systematic approach.

Tricia N Zion, Bess Wayburn, Sourat Darabi, Devon Lamb Thrush, Erica D Smith, Tami Johnston, Brissa Martin, Kelly D F Hagman, Melissa Parra, Christian Antolik

Abstract readEvaluation Study
In one paragraph

Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

10 authors.

Tricia N ZionAmbry Genetics, Aliso Viejo, California.ORCID 0000-0001-7053-1569
Bess WayburnAmbry Genetics, Aliso Viejo, California.
Sourat DarabiAmbry Genetics, Aliso Viejo, California.
Devon Lamb ThrushAmbry Genetics, Aliso Viejo, California.
Erica D SmithAmbry Genetics, Aliso Viejo, California.ORCID 0000-0002-5424-580X
Tami JohnstonAmbry Genetics, Aliso Viejo, California.
Brissa MartinAmbry Genetics, Aliso Viejo, California.
Kelly D F HagmanAmbry Genetics, Aliso Viejo, California.ORCID 0000-0003-1173-052X
Melissa ParraAmbry Genetics, Aliso Viejo, California.
Christian AntolikAmbry Genetics, Aliso Viejo, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvances in sequencing technology have led to expanded use of multi-gene panel tests (MGPTs) for clinical diagnostics. Well-designed MGPTs must balance increased detection of clinically significant findings while mitigating the increase in variants of uncertain significance (VUS). To maximize clinical utililty, design of such panels should include comprehensive gene vetting using a standardized clinical validity (CV) scoring system.

methodsTo assess the impact of CV-based gene vetting on MGPT results, data from MGPTs for cardiovascular indications were retrospectively analyzed. Using our CV scoring system, genes were categorized as having definitive, strong, moderate, or limited evidence. The rates of reported pathogenic or likely pathogenic variants and VUS were then determined for each CV category.

resultsOf 106 total genes, 42% had definitive, 17% had strong, 29% had moderate, and 12% had limited CV. The detection rate of variants classified as pathogenic or likely pathogenic was higher for genes with greater CV, while the VUS rate showed an inverse relationship with CV score. No pathogenic or likely pathogenic findings were observed in genes with a limited CV.

conclusionThese results demonstrate the importance of a standardized, evidence-based vetting process to establish CV for genes on MGPTs. Using our proposed system may help to increase the detection rate while mitigating higher VUS rates.

Indexed as

Genetic Predisposition to DiseaseGenetic TestingHumansMultifactorial Inheritancecardiologyclinical validitydetection rategene characterizationgene-disease relationshipgene vettingmulti-gene panel genetic testing

Identifiers

PMID30900393
PMCPMC6503028

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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.