Possible autosomal recessive inheritance in an infant with acrofacial dysostosis similar to nager syndrome
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".