Mosaic variants detectable in blood extend the clinicogenetic spectrum of GLI3-related hypothalamic hamartoma
Bibliographic record
Abstract
Purpose: -related disorders, clinically and genetically. Here, we searched for mosaic variants in unsolved cases. Methods: and other HH-associated genes. Mosaic variants were confirmed by droplet-digital polymerase chain reaction. Results: variants-a stop-gain (c.2639C>A; p.(Ser880Ter), VAF 3.7%) and a frameshift (c.3326_3330del; p.(Glu1109AlafsTer18), VAF 7.8%). The nonsyndromic patient with 3.7% VAF in blood had 35.8% VAF in HH tissue. He had a vestigial extra digit removed adjacent to his left fifth finger. Conclusion: mosaicism is associated with a phenotypic spectrum from PHS to HH with subtle extra PHS features, to isolated nonsyndromic HH. High-depth sequencing permits detection of low-level mosaicism, which is an important cause of both syndromic and nonsyndromic HH.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".