A rare unbalanced translocation (trisomy 5q33.3‐qter, monosomy 13q34‐qter) results in growth hormone deficiency and brain anomalies
Bibliographic record
Abstract
BACKGROUND: Unbalanced translocations between the q arm of chromosomes 5 and 13 are exceedingly rare and there is only one reported case with distal trisomy 5q/monosomy 13q. In this report, we describe a second patient with a similar rearrangement arising from a paternal balanced translocation. METHODS: Karyotype analysis was performed on the proband and their parents. Microarray was also conducted on the proband. RESULTS: Our patient was found to have global developmental delay, distinct facial features, short stature, growth hormone deficiency, delayed puberty, and brain anomalies including a small pituitary. Karyotype and microarray analysis revealed a terminal duplication of chromosome regions 5q33.3 to 5qter and a terminal deletion of chromosome regions 13q34 to 13qter that resulted from a balanced translocation in her father. The endocrine abnormalities and neuroimaging findings have not been previously described in patients with either copy number change. CONCLUSIONS: This case helps expand on the phenotype of patients with distal trisomy 5q/monosomy 13q as well as possibly providing useful information on the more common individual copy number changes.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".