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Record W2040096570 · doi:10.1038/oby.2005.224

Evaluation of Prader‐Willi Syndrome Gene <i>MAGEL2</i> in Severe Childhood‐Onset Obesity

2005· article· en· W2040096570 on OpenAlex
Megan A. O’Neill, I. Sadaf Farooqi, Rachel Wevrick

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueObesity Research · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Syndromes and Imprinting
Canadian institutionsUniversity of Alberta
FundersUniversity of AlbertaWellcome Trust
KeywordsObesityMedicineGeneGenomic imprintingNeurodevelopmental disorderInternal medicineAlleleEndocrinologyGeneticsBioinformaticsBiologyGene expression

Abstract

fetched live from OpenAlex

MAGEL2 is one of the five genes inactivated in Prader-Willi Syndrome, a neurodevelopmental chromosome microdeletion disorder modified by genomic imprinting. By early childhood, individuals with Prader-Willi Syndrome exhibit hypothalamic dysfunction, including hyperphagia, and become obese in the absence of behavioral intervention. Murine Magel2 is highly expressed in the hypothalamus during development. We screened the MAGEL2 open reading frame for mutations in genomic DNA samples from hyperphagic but non-dysmorphic individuals with severe childhood-onset obesity. Although no mutations likely to affect gene function were identified, we identified three variant alleles. We conclude that severe childhood-onset obesity is not commonly caused by MAGEL2 mutations.

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.

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)0.005
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
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 science0.0000.000
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 head0.043
GPT teacher head0.338
Teacher spread0.295 · 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