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Record W2590665422

Coincidence of ANKRD1, TMEM43and PKP2 mutations in patient withARVD

2014· article· en· W2590665422 on OpenAlexvenueno aff
Linda Skutková, Diana Grochová, Ilga Grochová, Hana Hrstková

Bibliographic record

VenueExperimental & clinical cardiology/Experimental and clinical cardiology · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsnot available
Fundersnot available
KeywordsArrhythmogenic right ventricular dysplasiaMedicineMissense mutationPlakoglobinGeneticsMutationSudden deathSudden cardiac deathCardiomyopathyGene mutationGeneHypertrophic cardiomyopathyCardiologyInternal medicineHeart failureBiology
DOInot available

Abstract

fetched live from OpenAlex

Arrhythmogenic right ventricular dysplasia (ARVD) is a serious genetic disorder, usually with autosomal dominant inheritance, which can lead to sudden cardiac death in young individuals and athletes. The genes known to be associated with ARVD are five genes for desmosome proteins plus another three for non-desmosomal proteins. Here we present a patient with serious symptoms of ARVD (including ventricular tachycardia and sudden cardiac arrest), who carries three potentially pathological mutations in three diffe rent genes. Two missense mutations in ANKRD1 and TMEM43 gene respectively and one mutation, in PKP2, which causes aberrant splicing were detected. We hypothesized that the combination of these three pathological mutations could be the reason for the lethal course of the disease. Moreover, we assume that mutations in ANKRD1 gene, which were previously shown to be responsible for dilated cardiomyopathy and hypertrophic cardiomyopathy, could be associated also with ARVD.

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)0.000
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.389
Teacher spread0.358 · 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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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