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Record W2002733724 · doi:10.1002/ajmg.a.37058

Mild Angelman syndrome phenotype due to a mosaic methylation imprinting defect

2015· article· en· W2002733724 on OpenAlexaff
Laura Fairbrother, Cheryl Cytrynbaum, P Boutis, Karin Buiting, Rosanna Weksberg, Charles A. Williams

Bibliographic record

VenueAmerican Journal of Medical Genetics Part A · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Syndromes and Imprinting
Canadian institutionsLibrary of ParliamentHospital for Sick ChildrenUniversity of Toronto
FundersBundesministerium für Bildung und Forschung
KeywordsImprinting (psychology)Angelman syndromeGenomic imprintingPhenotypeGeneticsMosaicMethylationDNA methylationBiologyDNAGeneHistory

Abstract

fetched live from OpenAlex

Angelman syndrome (AS) is a neurogenetic disorder causing severe to profound intellectual disability, absent or very limited speech and a high risk for seizures. AS is caused by a loss of function of the maternally-derived UBE3A allele due to one of several mechanisms including imprinting defects (ImpDs). We present a girl with AS due to a mosaic ImpD who has relatively high developmental function (VABS-II composite score of 76) and communication skills (as demonstrated in supplemental video links). Given the patient's relatively mild developmental impairment, without clinical evidence of seizures, gait disturbance or inappropriate laughter, the diagnosis of AS was not initially suspected. Initial laboratory testing for AS was inconclusive but additional studies suggested mosaic ImpD and characteristic EEG findings provided further support for the clinical diagnosis. Our patient, along with other case reports of children with AS and relatively mild phenotypes, raises the question as to whether there exists an undiagnosed group of individuals with mild intellectual disability and expressive speech delays due to mosaic methylation defects of the chromosome 15q11.2-13 region. Population studies may be needed to determine if such an undiagnosed group exists.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.022
GPT teacher head0.292
Teacher spread0.271 · 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 designOther design
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

Citations20
Published2015
Admission routes1
Has abstractyes

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