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Record W2147894988 · doi:10.2350/13-08-1370-cr.1

Novel Mutations in Geleophysic Dysplasia Type 1

2013· article· en· W2147894988 on OpenAlexaff
Prashob Porayette, Deborah Fruitman, Julie Lauzon, Carine Le Goff, Valérie Cormier‐Daire, Stephen P. Sanders, Alfredo Pinto-Rojas, Antonio R. Pérez‐Atayde

Bibliographic record

VenuePediatric and Developmental Pathology · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtease and Inhibitor Mechanisms
Canadian institutionsAlberta Children's Hospital
Fundersnot available
KeywordsCompound heterozygosityDysplasiaMutationExonGeneticsBiologyPathologyGeneMedicine

Abstract

fetched live from OpenAlex

Geleophysic dysplasia (GD) is a rare genetic disorder characterized by acromelic dysplasia. Geleophysic dysplasia type 1 (MIM 231050) is autosomal recessive and is caused by homozygous or compound heterozygous mutation in the ADAMTSL2 (a disintegrin and metalloproteinase with thrombosponding repeats-like 2) gene. Geleophysic dysplasia type 2 (MIM 614185) is autosomal dominant and is caused by heterozygous mutation in the fibrillin 1 (FBN1) gene. Here, we present the clinical and histopathologic findings in a child with GD with newly identified ADAMTSL2 mutations. The 1st mutation was probably a pathogenic one, c.[1934G>A] p.[Arg645His], located in exon 13; the 2nd, in intron 8, was probably changing a splice site. While the light and electron microscopic findings were similar to those previously described, hydrocephalus due to aqueductal stenosis might be a new associated finding in these patients. This child with these 2 novel mutations also had an aggressive clinical course with early-onset progressive cardiac valvular disease.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0020.001
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 head0.008
GPT teacher head0.212
Teacher spread0.204 · 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 designObservational
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

Citations14
Published2013
Admission routes1
Has abstractyes

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