Evidence map›Paper›PMID 33623043›Full record

ArticleNPJ genomic medicine2021

Prioritizing variants of uncertain significance for reclassification using a rule-based algorithm in inherited retinal dystrophies.

Ionut-Florin Iancu, Almudena Avila-Fernandez, Ana Arteche, Maria Jose Trujillo-Tiebas, Rosa Riveiro-Alvarez, Berta Almoguera, Inmaculada Martin-Merida, Marta Del Pozo-Valero, Irene Perea-Romero, Marta Corton and 2 more

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

23 citing papers in PubMed, 28 citations in OpenAlex.

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  14. AJCEM case reports · 2023
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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

12 authors at 3 institutions in 1 country.

Ionut-Florin IancuDepartment of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain.ORCID http://orcid.org/0000-0001-9742-2717
Almudena Avila-FernandezDepartment of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain.
Ana ArtecheDepartment of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain.
Maria Jose Trujillo-TiebasDepartment of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain.
Rosa Riveiro-AlvarezDepartment of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain.
Berta AlmogueraDepartment of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain.
Inmaculada Martin-MeridaDepartment of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain.
Marta Del Pozo-ValeroDepartment of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain.
Irene Perea-RomeroDepartment of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain.ORCID http://orcid.org/0000-0002-6402-4891
Marta CortonDepartment of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain.
Pablo MinguezDepartment of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain. pablo.minguez@quironsalud.es.ORCID http://orcid.org/0000-0003-4099-9421
Carmen AyusoDepartment of Genetics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain. cayuso@fjd.es.ORCID http://orcid.org/0000-0002-9242-7065
Instituto de Salud Carlos III · ESCentre for Biomedical Network Research on Rare Diseases · ESHospital Universitario Fundación Jiménez Díaz · ES

Funding

PREVENTING YOUTHFUL DRUG ABUSE: A LONGITUDINAL STUDYR01DA003721 · NIDA · UNIVERSITY OF WASHINGTON · PI HAWKINS, J DAVID · 1985 to 1992
–
Comunidad de Madrid B2017/BMD-3721Comunidad de Madrid PEJ-2017-AI/BMD7256Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) CP12/03256Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) CP16/00116Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) FI17/00192
6 · The paper itself

Abstract

Inherited retinal dystrophies (IRD) are a highly heterogeneous group of rare diseases with a molecular diagnostic rate of >50%. Reclassification of variants of uncertain significance (VUS) poses a challenge for IRD diagnosis. We collected 668 IRD cases analyzed by our geneticists using two different clinical exome-sequencing tests. We identified 114 unsolved cases pending reclassification of 125 VUS and studied their genomic, functional, and laboratory-specific features, comparing them to pathogenic and likely pathogenic variants from the same cohort (N = 390). While the clinical exome used did not show differences in diagnostic rate, the more IRD-experienced geneticist reported more VUS (p = 4.07e-04). Significantly fewer VUS were reported in recessive cases (p = 2.14e-04) compared to other inheritance patterns, and of all the genes analyzed, ABCA4 and IMPG2 had the lowest and highest VUS frequencies, respectively (p = 3.89e-04, p = 6.93e-03). Moreover, few frameshift and stop-gain variants were found to be informed VUS (p = 6.73e-08 and p = 2.93e-06). Last, we applied five pathogenicity predictors and found there is a significant proof of deleteriousness when all score for pathogenicity in missense variants. Altogether, these results provided input for a set of rules that correctly reclassified ~70% of VUS as pathogenic in validation datasets. Disease- and setting-specific features influence VUS reporting. Comparison with pathogenic and likely pathogenic variants can prioritize VUS more likely to be reclassified as causal.

Identifiers

PMID33623043
PMCPMC7902814
OpenAlexW3130768456

What OpenQuestion holds

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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.