Further Delineation of the AUTS2 HX Repeat Domain‐Related Phenotype
Bibliographic record
Abstract
Haploinsufficiency of AUTS2 is associated with a neurodevelopmental disorder characterized by intellectual disability, autistic features, and spasticity. AUTS2 protein interacts with p300, encoded by EP300, through the HX repeat domain of AUTS2, thereby activating transcription. We previously reported two de novo variants in the HX repeat domain of AUTS2. These variants disrupt the AUTS2-P300 interaction, resulting in a phenotype resembling Rubinstein-Taybi Syndrome (RSTS) associated with variants in EP300/CREBBP. Here, we expand beyond the initial clinical description to delineate the HX domain-associated phenotype and compare it to the AUTS2-haploinsufficient phenotype. We reviewed clinical data, photographs, and neuroimaging studies to examine genotype-phenotype relationships. Our review of 80 individuals included 14 individuals we present here and 66 individuals with AUTS2 variants presented in the literature. The clinical features for individuals with variants in the HX repeat domain include severe intellectual disability, severe language disability, distinct craniofacial and skeletal dysmorphic features, and neuroimaging findings. Facial dysmorphisms include wide and prominent nasal bridges with complex nasal shapes and dysmorphic eyebrows. Dysmorphisms include digit anomalies: Symphalangism and hypoplasia of distal phalanges, exclusive to the HX domain variant group. Cerebellar anomalies not seen with other AUTS2 variants are seen within this group. Our report delineates a distinct and severe clinical phenotype associated with variants in the AUTS2 HX domain, including an in-depth comparison with the AUTS2 haploinsufficiency phenotype features.
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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) | 0.001 | 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".