Periventricular nodular heterotopia and transverse limb reduction defect in a woman with interstitial 11q24 deletion in the Jacobsen syndrome region
Bibliographic record
Abstract
Jacobsen syndrome (JS) is a disorder of developmental delay, growth retardation, thrombocytopenia, dysmorphic features, and cardiac abnormalities, among other congenital anomalies. JS is caused by contiguous gene deletion in distal chromosome 11q, generally varying in size from 7 to 20 Mb. Periventricular nodular heterotopia (PVNH) is a neuronal migration disorder in which neurons are abnormally located in nodules along the edges of the lateral ventricles. PVNH can also be seen with other congenital anomalies, including a recurrent association with distal limb defects. Transverse limb defects have previously been reported in two patients with JS. We report on a patient with a 3.162 Mb interstitial deletion at chromosome region 11q24 overlapping the region commonly affected in JS. The patient had PVNH and a transverse limb reduction defect, with minimal typical findings of JS. This is the first report of PVNH associated with a microdeletion at chromosome 11q and may represent an expansion of the phenotypic spectrum associated with JS. This is the third report of transverse limb reduction defects in association with JS, supporting a widening of the skeletal phenotypic spectrum in JS to include more severe limb anomalies. ETS1 is proposed as a candidate gene for involvement in limb anomalies in JS.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".