Genotype–phenotype correlations in mapped split hand foot malformation (SHFM) patients
Bibliographic record
Abstract
Split hand foot malformation (SHFM) also known as central ray deficiency, ectrodactyly and cleft hand/foot, is one of the most complex of limb malformations. SHFM can occur as an isolated malformation or in association with other malformations, as in the ectrodactyly-ectodermal dysplasia-clefting (EEC) syndrome and other autosomal dominant conditions with long bone involvement, all showing variable expressivity and reduced penetrance. The deficiency in SHFM patients can also be accompanied by other distal limb anomalies including polydactyly and/or syndactyly. This variability causes the phenotypic classification of SHFM to be far from straightforward and genetic heterogeneity, with at least five loci identified to date, further complicates management of affected patients and their families. Although genotypic-phenotypic correlations have been proposed at the molecular level for SHFM4 patients who have mutations in the P63 gene, phenotypic correlations at the chromosomal level have not been thoroughly documented. Using descriptive epidemiology, Chi square and discriminant function analyses, our laboratory has identified phenotypic patterns associated with the mapped genetic SHFM loci. These findings can assist in classification, provide insight into responsible developmental genes and assist in directing mapping efforts and targeted genetic testing, resulting in more accurate information for family members in the clinical setting. Comparison with relevant animal models is discussed.
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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".