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Next-generation sequencing identifies multiple disease associated variants in inherited heart conditions

2013· article· en· W2316059801 on OpenAlexaff
Brenda Gerull, Vikas Kuriachan, Robin Clegg, Derek V. Exner, Raechel A. Ferrier, S. Desmarais, Paul M. K. Gordon, Henry J. Duff

Bibliographic record

VenueEuropean Heart Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsAlberta Health ServicesLibin Cardiovascular Institute of AlbertaUniversity of Calgary
Fundersnot available
KeywordsPenetranceExome sequencingMedicineQT intervalExomeLong QT syndromeGeneticsGenetic testingMYH7MutationCardiomyopathyGeneInternal medicineBiologyPhenotypeHeart failure

Abstract

fetched live from OpenAlex

Background: Inherited cardiomyopathies and arrhythmias are mainly autosomal dominant conditions characterized by incomplete penetrance and variable clinical expression. The introduction of Next-Generation Sequencing (NGS) panels and exome analysis for research and also diagnostic purposes do allow a comprehensive genetic analysis of all known genes as well as the discovery of novel genes for those conditions. However, the results often raise more questions than answers in particular in terms of proving causality of the identified variants. Methods and results: Here we report three families where we found more than one pathogenic variant in the index case. The analysis was done using NGS panels consisting of nearly 70 known genes for inherited cardiomyopathies and arrhythmias and/or whole exome sequencing. In a Long QT family the index case presented with syncope and a QTc interval of 520ms. An epinephrine drug challenge prolonged the QT interval up to 612ms and led to Torsade de Pointes with a transition to ventricular fibrillation in the recovery period. She was found to carry two previously reported disease causing mutations, one in KCNQ1 (p.R518X) and one in SCN5A (p.F1617del). Both parents who are clinically unaffected carry one mutation. In another family with left ventricular non-compaction cardiomyopathy the index patient was found to carry two novel MYH7 variants (p.R1677C; p.Q44X), both presumed to be pathogenic. Further analysis will show if those mutations are in "cis" or "trans" inherited and how they segregate in other affected family members. The third, most interesting family consists of four living and two deceased members who all presented with a heart block requiring pacemakers in their 30is.The index case has had additional features such as cardiomyopathy and a prolonged QT interval. She also survived a ventricular fibrillation arrest. Exome analysis found a frameshift mutation in RBM20 (p.S268DfsX3) in the index case, very likely causing her arrhythmic cardiomyopathy. Interestingly, this mutation did not segregate in any of the other family members affected by the heart block suggesting two different very rare inherited cardiac conditions in one family. Conclusion: NGS allows a comprehensive way of mutation detection which more and more uncovers the complexity of previously thought monogenetic conditions. Our data point out the importance of a thoughtful approach of genetic data interpretation especially in clinical settings and the careful usage for predictive testing in family members with potential life threatening arrhythmias.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.120
GPT teacher head0.308
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2013
Admission routes1
Has abstractyes

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