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Record W2808910132 · doi:10.1016/j.nmd.2018.05.002

Myotonia congenita in a Labrador Retriever with truncated CLCN1

2018· article· en· W2808910132 on OpenAlexaboutno aff
Pia R. Quitt, Marjo K. Hytönen, Kaspar Matiasek, Marco Rosati, Andrea Fischer, Hannes Lohi

Bibliographic record

VenueNeuromuscular Disorders · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsnot available
FundersJane ja Aatos Erkon SäätiöHelsingin Yliopisto
KeywordsMyotonia congenitaLabrador RetrieverMedicineElectromyographyMyotoniaParesisPuppyAnatomyPhysical medicine and rehabilitationBiologySurgeryMyotonic dystrophyInternal medicine

Abstract

fetched live from OpenAlex

An eight week old Labrador Retriever puppy presented with stiff-legged robotic gait. Abnormal gait was most evident after rest and improved with prolonged activity. On occasions, initiation of sudden movements would result in collapse with rigidity of the trunk and stiff extended limbs for several seconds. Other clinical signs were excitement-induced upper airway stridor and oropharyngeal dysphagia. Myotonia congenita was diagnosed based on clinical signs, abundant myotonic discharges on electromyography and exclusion of structural myopathies on histology. Whole exome sequencing revealed a case-specific homozygous variant in CLCN1, c.2275A > T resulting in a premature stop codon, p.R759X. The CLCN1 variant was absent from the genomes of 127 Labrador Retriever controls and 474 control dogs from other breeds. This study expands the spectrum of identified canine CLCN1 mutations and the list of affected breeds in myotonia congenita and highlights the potential value of dogs as translational large animal models of human genetic diseases.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.072
Threshold uncertainty score0.667

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.231
Teacher spread0.225 · 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 teacher head, 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

Citations16
Published2018
Admission routes1
Has abstractyes

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