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Record W2024245448 · doi:10.1515/jpem.2010.156

Kabuki Syndrome and Crohn Disease in a Child with Familial Hypocalciuric Hypercalcemia

2010· article· en· W2024245448 on OpenAlexaff
Josephine Ho, Danya A. Fox, A. Micheil Innes, Ross McLeod, Decker Butzner, Nicole Johnson, Cynthia Trevenen, Victoria L. Kendrick, David E.C. Cole

Bibliographic record

VenueJournal of Pediatric Endocrinology and Metabolism · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsUniversity of TorontoUniversity of Calgary
Fundersnot available
KeywordsMedicineKabukiPediatricsKabuki syndromeDermatology

Abstract

fetched live from OpenAlex

BACKGROUND: Familial hypocalciuric hypercalcemia (FHH) results from a mutation of the calcium sensing receptor (CASR) gene and typically presents as asymptomatic hypercalcemia with inappropriately low urinary calcium excretion and normal or mildly elevated levels of parathyroid hormone. OBJECTIVE: To describe a case of FHH associated with Kabuki syndrome and Crohn disease. METHOD: Genomic DNA was screened for CASR mutations and a retrospective chart review was performed. RESULTS: Heterozygosity was observed in exon 3, which encodes a portion of the extra-cellular domain. Sequencing revealed a n.476T>G nucleotide transversion, predicting a non-conservative substitution of arginine for leucine at codon 159 (p.L159R). CONCLUSION: An association between Kabuki syndrome and autoimmune disease has been described in the literature, which may explain the connection between Kabuki syndrome and Crohn disease. However, it remains unclear if there is a link between FHH, Kabuki syndrome and Crohn disease in this case.

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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.004
GPT teacher head0.211
Teacher spread0.207 · 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

Citations12
Published2010
Admission routes1
Has abstractyes

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