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Record W2039954682 · doi:10.1002/ajmg.a.36051

Possible autosomal recessive inheritance in an infant with acrofacial dysostosis similar to nager syndrome

2013· article· en· W2039954682 on OpenAlexaff
Banu Nur, François P. Bernier, Osman Öztekin, Fırat Kardelen, Salih Kalay, Jillian S. Parboosingh, Ercan Mıhçı

Bibliographic record

VenueAmerican Journal of Medical Genetics Part A · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCraniofacial Disorders and Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDysostosisCraniofacialGeneticsBiologyConsanguinityAutosomal recessive inheritanceHypoplasiaMedicineAnatomyGeneCongenital diseaseInternal medicine

Abstract

fetched live from OpenAlex

The acrofacial dysostosis syndromes, which are characterized by malformations of the craniofacial region and limbs, are a clinically heterogeneous group of disorders. Based primarily on the of the pattern of limb defects two major groups have emerged: Nager syndrome with predominantly preaxial malformations plus mandibulofacial dysostosis (severe micrognathia and malar hypoplasia) and Miller syndrome with postaxial malformations plus mandibulofacial dysostosis. Among these syndromes, Nager syndrome is a rare condition but the most common form of acrofacial dysostosis. Most cases are sporadic, while autosomal dominant and autosomal recessive inheritance patterns have been reported. Recently, heterozygous mutations in the SF3B4 gene on chromosome 1q12-q21 were found to be responsible for a subset of sporadic and autosomal dominant cases. We present a female infant born to consanguineous parents with craniofacial features resembling Nager syndrome and a unilateral preaxial limb malformation. Mutation analysis of coding exons of SF3B4 did not identify any mutations. This couple also had a deceased child who had similar clinical features. We conclude that, the presence of consanguinity and absence of mutation in SF3B4, provides evidence in support of a recessive form of Nager syndrome.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.260
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.007
GPT teacher head0.270
Teacher spread0.263 · 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 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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Same venueAmerican Journal of Medical Genetics Part ASame topicCraniofacial Disorders and TreatmentsFrench-language works237,207