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Record W4396900582 · doi:10.1002/ajmg.a.63625

Adults with paternal <scp>UPD14</scp> causing <scp>Kagami–Ogata</scp> syndrome: Case report and review of the literature

2024· review· en· W4396900582 on OpenAlexaff
Christopher Smith, Madison Riddell, Lauren Badalato, Ping Yee Billie Au

Bibliographic record

VenueAmerican Journal of Medical Genetics Part A · 2024
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Syndromes and Imprinting
Canadian institutionsQueen's UniversityAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsNeurocognitiveUniparental disomyNatural historyMedicinePediatricsGeneticsBiologyChromosomeInternal medicinePsychiatryGeneKaryotype

Abstract

fetched live from OpenAlex

Kagami-Ogata syndrome (KOS) is a clinically recognizable syndrome in the neonatal period. It is characterized by specific skeletal anomalies and facial dysmorphisms. It is typically caused by paternal uniparental disomy of chromosome 14, while epimutations and microdeletions are less commonly reported causes. In the pediatric setting, KOS is a well delineated syndrome. However, there is a dearth of literature describing the natural history of the condition in adults. Herein, we describe a 35-year-old man, the first adult with KOS reported due to paternal uniparental disomy 14, and review reports of KOS in other affected adults. This highlights the variability in neurocognitive phenotypes, the presence of connective tissue abnormalities, and the uncertainties around long-term cancer risk.

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)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.292
Teacher spread0.280 · 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
GenreReview

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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Same venueAmerican Journal of Medical Genetics Part ASame topicGenetic Syndromes and ImprintingFrench-language works237,207