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Record W4403096922 · doi:10.7759/cureus.70777

A Rare Co-occurrence of Williams Syndrome and 𝘛𝘕𝘒2 Gene-Related Epilepsy

2024· article· en· W4403096922 on OpenAlexaff
Sumathi Angel, Badiginchala Naga Jyothi, Chinthalapalli Prakash Ravikumar, Parag Tamhankar

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldNeuroscience
TopicWilliams Syndrome Research
Canadian institutionsASTER
Fundersnot available
KeywordsMedicineEpilepsyWilliams syndromePsychiatry

Abstract

fetched live from OpenAlex

Williams syndrome is a multisystem disorder characterized by developmental delay, characteristic facial features, growth abnormalities, and cardiovascular abnormalities. The disorder is an autosomal dominant genetic syndrome that occurs due to microdeletion at chromosomal locus 7q11.23. Seizures occur uncommonly in association with Williams syndrome. Mutations in the TNK2 gene have been found in rare cases of autosomal recessive infantile-onset epilepsy. We describe a rare co-occurrence of Williams syndrome and TNK2 gene-related epilepsy in a child born of consanguineous parents. This case report emphasizes the role of genetic testing in the diagnosis of rare diseases. This is the fourth case report of epilepsy with biallelic mutations in the TNK2 gene, to the best of the authors’ knowledge.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.039
GPT teacher head0.320
Teacher spread0.281 · 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 designCase report
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
Published2024
Admission routes1
Has abstractyes

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