A child with terminal 14q deletion syndrome: Consideration of genotype–phenotype correlations
Bibliographic record
Abstract
Patients with terminal deletions of chromosome 14 usually share a number of clinical features. The syndrome is thought not to be associated with multiple congenital anomalies. We report on a patient having a terminal deletion of about 3.2 Mb, with the breakpoint in 14q32.32. Multiple health problems led to his early death. By molecular techniques (array comparative genomic hybridization (CGH) and fluorescence in situ hybridization (FISH)), we identified two previously reported patients with deletions in the terminal part of chromosome 14 of almost exactly the same size and compare the phenotypes of all three children. The phenotype of the current patient is much more severe than the phenotypes of the two patients reported previously. The patients also present different sets of dysmorphic features described previously as characteristic for 14q deletion syndrome. Molecular cytogenetic mapping showed that the breakpoints in all three patients were clustered within a 240 kb interval. The possibility of recurrent breakpoint location in terminal 14q deletion syndrome, as well as detailed characterization of the spectrum of phenotypes associated with the syndrome, will require the investigation of multiple patients with similar deletions in 14q.
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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 | 0.000 |
| Research integrity | 0.001 | 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".