Discrepancies in upper and lower limb patterning in split hand foot malformation
Bibliographic record
Abstract
Discrepancies in upper and lower limb patterning in split hand foot malformation. Split hand foot malformation (SHFM) is genetically heterogeneous with five loci mapped to date. Highly variable in presentation, it can occur as an isolated finding or with other anomalies. The genetic heterogeneity and clinical variability make genetic counselling of SHFM families challenging. By establishing genotype/phenotype correlations, one can provide insight into responsible developmental genes and help to direct mapping efforts and target genetic testing, ultimately providing more accurate information for family members. Preaxial involvement of the upper extremities was a significant discriminating limb-specific variable in our analysis of genetically mapped SHFM cases. This finding, which was originally identified through descriptive epidemiology, was subsequently confirmed by discriminant function analysis (p < 0.0001) to be a significant locus discriminator. Preaxial involvement of the upper extremities was most commonly seen at the SHFM3 locus mapped to chromosome 10q24 (OMIM 600095) and consisted of proximally placed thumbs and/or triphalangeal thumbs (TPT), preaxial polydactyly and/or absence of the first ray. These patients' feet, however, tended to show a classical central longitudinal deficiency without a significant preaxial component. This article discusses this discrepant clefting pattern between the upper and lower extremities and proposes potential mechanisms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".