Evidence map›Paper›PMID 35143109›Full record

ArticleHuman mutation2022

Diagnostic testing laboratories are valuable partners for disease gene discovery: 5-year experience with GeneMatcher.

Meghan C Towne, Mari Rossi, Bess Wayburn, Jennifer M Huang, Kelly Radtke, Wendy Alcaraz, Kelly D Farwell Hagman, Deepali N Shinde

Abstract read
In one paragraph

Article in Human mutation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Considerations for reporting variants in novel candidate genes identified during clinical genomic testing.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
  3. Article
  4. Article
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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.

Meghan C TowneAmbry Genetics, Aliso Viejo, California, USA.ORCID 0000-0001-9460-2368
Mari RossiAmbry Genetics, Aliso Viejo, California, USA.
Bess WayburnAmbry Genetics, Aliso Viejo, California, USA.
Jennifer M HuangAmbry Genetics, Aliso Viejo, California, USA.
Kelly RadtkeAmbry Genetics, Aliso Viejo, California, USA.
Wendy AlcarazAmbry Genetics, Aliso Viejo, California, USA.
Kelly D Farwell HagmanAmbry Genetics, Aliso Viejo, California, USA.ORCID 0000-0003-1173-052X
Deepali N ShindeAmbry Genetics, Aliso Viejo, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the rates of disease gene discovery have steadily increased with the expanding use of genome and exome sequencing by clinical and research laboratories, only ~16% of genes in the genome have confirmed disease associations. Here we describe our clinical laboratory's experience utilizing GeneMatcher, an online portal designed to promote disease gene discovery and data sharing. Since 2016, we submitted 246 candidates from 243 unique genes to GeneMatcher, of which 111 (45%) are now clinically characterized. Submissions meeting our candidate gene-reporting criteria based on a scoring system using patient and molecular-weighted evidence were significantly more likely to be characterized as of October 2021 versus genes that did not meet our clinical-reporting criteria (p = 0.025). We reported relevant findings related to these newly characterized gene-disease associations in 477 probands. In 218 (46%) instances, we issued reclassifications after an initial negative or candidate gene (uncertain) report. We coauthored 104 publications delineating gene-disease relationships, including descriptions of new associations (60%), additional supportive evidence (13%), subsequent descriptive cohorts (23%), and phenotypic expansions (4%). Clinical laboratories are pivotal for disease gene discovery efforts and can screen phenotypes based on genotype matches, contact clinicians of relevant cases, and issue proactive reclassification reports.

Indexed as

Diagnostic Techniques and ProceduresLaboratoriesExome SequencingGenetic Association StudiesHumansPhenotypeclinical validitydata sharingdisease gene discoveryexome sequencinggene-disease validityGeneMatcherMatchmaker Exchange

Identifiers

PMID35143109
PMCPMC9313781

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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.