Evidence map›Paper›PMID 32048431›Full record

ArticleHuman mutation2020

Critical assessment of secondary findings in genes linked to primary arrhythmia syndromes.

Isabel Diebold, Ulrike Schön, Florentine Scharf, Anna Benet-Pagès, Andreas Laner, Elke Holinski-Feder, Angela Abicht

Open access · hybridAbstract read
In one paragraph

Article in Human mutation, 2020. 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
1.2field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Enhancing the interpretation of genetic observations in KCNQ1 in unselected populations: relevance to secondary findings.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
  2. Article
  3. Circulation. Genomic and precision medicine · 2023
    Article
  4. Article
  5. H1153Y-International journal of molecular sciences · 2021
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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

7 authors at 2 institutions in 3 countries.

Isabel DieboldDepartment of Genomics, Medical Genetics Center Munich, Munich, Germany.ORCID 0000-0002-1753-563X
Ulrike SchönDepartment of Genomics, Medical Genetics Center Munich, Munich, Germany.
Florentine ScharfDepartment of Genomics, Medical Genetics Center Munich, Munich, Germany.
Anna Benet-PagèsDepartment of Genomics, Medical Genetics Center Munich, Munich, Germany.
Andreas LanerDepartment of Genomics, Medical Genetics Center Munich, Munich, Germany.
Elke Holinski-FederDepartment of Genomics, Medical Genetics Center Munich, Munich, Germany.
Angela AbichtDepartment of Genomics, Medical Genetics Center Munich, Munich, Germany.
Medical Genetics Center · DELMU Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As comprehensive sequencing technologies gain widespread use, questions about so-called secondary findings (SF) require urgent consideration. The American College of Medical Genetics and Genomics has recommended to report SF in 59 genes (ACMG SF v2.0) including four actionable genes associated with inherited primary arrhythmia syndromes (IPAS) such as catecholaminergic polymorphic ventricular tachycardia, long QT syndrome, and Brugada syndrome. Databases provide conflicting results for the purpose of identifying pathogenic variants in SF associated with IPAS at a level of sufficient evidence for clinical return. As IPAS account for a significant proportion of sudden cardiac deaths (SCD) in young and apparently healthy individuals, variant interpretation has a great impact on diagnosis and prevention of disease. Of 6381 individuals, 0.4% carry pathogenic variants in one of the four actionable genes related to IPAS: RYR2, KCNQ1, KCNH2, and SCN5A. Comparison of the databases ClinVar, Leiden Open-source Variant Database, and Human Gene Mutation Database showed impactful differences (0.2% to 1.3%) in variant interpretation improvable by expert-curation depending on database and classification system used. These data further highlight the need for international consensus regarding the variant interpretation, and subsequently management of SF in particular with regard to treatable arrhythmic disorders with increased risk of SCD.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAllelesArrhythmias, CardiacDatabases, GeneticFemaleGenetic TestingGenetic VariationHigh-Throughput Nucleotide SequencingHumansMalePhenotypeSyndromeactionable genescardiac channelopathy genesprimary arrhythmia syndromessecondary findingsvariant classificationvariant interpretation

Identifiers

PMID32048431
PMCPMC7187207
OpenAlexW3005532696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.