Mosaic deletion 11p13 in a child with dopamine beta‐hydroxylase deficiency—Case report and review of the literature
Bibliographic record
Abstract
Dopamine beta-hydroxylase (DBH) deficiency is characterized by a lack of sympathetic noradrenergic function. Affected individuals exhibit profound deficits in autonomic regulation of cardiovascular function. The diagnosis of DBH deficiency is based on clinical findings, biochemical studies, and sequencing of DBH gene. We report here the characterization of a mosaic cytogenetic abnormality detected by array-CGH in a 16-year-old female with primary DBH deficiency together with dysmorphic features. These features could not be explained by DBH deficiency leading to further investigation. Karyotype was reported normal (46,XX), while a targeted genomic array-CGH revealed a mosaic loss for a segment of at least 1 Mb across 11p13. This segmental loss included the PAX6 and WT1 genes within the WAGR syndrome critical region. Interestingly, the derivative chromosome 11 was observed only in about 28% of cells analyzed. Utilizing a genome-wide oligonucleotide-based array, the deletion segment was estimated to encompass a segment of approximately 10 Mb. Mosaic deletions of 11p13 in WAGR are extremely uncommon. In this case it is distinctly possible that the patient's bilateral iris colobomata might be a manifestation, albeit abbreviated, of the haploinsufficiency for PAX6. This case highlights the importance of cytogenetic analysis when a mutation alone cannot account for the complete phenotype. It also emphasizes the enhanced ability of high-resolution array-CGH techniques in accurately detecting subtle rearrangements in a mosaic form. Finally, it demonstrates the possible phenotypic effects of low-level PAX6 haploinsufficiency in a dosage-sensitive manner.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".