Phenotypic features of a microdeletion in chromosome band 20p13: A case report and review of the literature
Bibliographic record
Abstract
BACKGROUND: 20p13 microdeletion syndrome has been reported to be associated with developmental delays, intellectual disability, epilepsy, and unspecific dysmorphic characteristics. However, only a few cases of 20p13 microdeletion have been described, and therefore its typical features and precise pathogenesis remain elusive. METHODS AND RESULTS: In this article, we report the case of a 9-month-old infant who presented with a large fontanelle, facial dysmorphism, and failure to thrive. Array-comparative genomic hybridization (aCGH) analysis confirmed a 2.01-Mb microdeletion in chromosome band 20p13 that involved SOX12 and NRSN2, both of which are considered paramount causative genes in patients with 20p13 microdeletion. To elucidate the typical features of 20p13 microdeletion, we further reviewed these previously reported cases and found that motor delay (90%) was the most common manifestation, followed by language delay (60%), abnormal digits (60%), mental retardation (50%), large fontanelle (50%), electroencephalography abnormalities (50%), and seizure (40%). CONCLUSION: This report highlights the potential of aCGH as a practical and powerful tool with which to detect submicroscopic chromosomal abnormalities in individuals presenting with a wide spectrum of phenotypes, ranging from facial dysmorphism to failure to thrive. Additionally, the literature review casts new light on the clinical features of 20p13 microdeletion.
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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".