TP63 mutation and clefting modifier genes in an EEC syndrome family
Bibliographic record
Abstract
Autosomal dominant EEC syndrome consists of ectrodactyly, ectodermal dysplasia, and cleft lip with or without cleft palate (CL/P). We investigated an EEC kindred with 10 affected persons in three generations in order to map the causative mutation in this family and to map modifier genes that contribute to the expression of facial clefting in the phenotype. DNA from 15 family members was genotyped for 388 genome screen markers. Analysis revealed maximal linkage between EEC and chromosome 3q27, which contains a known EEC gene - tumor protein 63 (TP63). Sequencing showed a CGT-->TGT missense mutation (R280C) in exon 7, previously reported to cause EEC in four families, and ectrodactyly alone (split hand-foot malformation) in one sporadic case and one large kindred. Analysis of the clefting phenotype in this EEC family demonstrated maximal linkage to two regions on chromosomes 4q and 14, which multiple studies have implicated in non-syndromic CL/P. In conclusion, this study demonstrates that the mutation of TP63 is the major (Mendelian) EEC gene in this kindred and suggests that additional minor modifying genes which predispose to non-syndromic CL/P could also contribute to the expression of the clefting component of the syndrome in this family.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".