Copy number loss upstream of RAI1 uncovers gene expression regulatory region that may impact Potocki–Lupski syndrome diagnosis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The identification of structural variants of uncertain clinical significance is increasing; however, studies delineating the functional consequence of these variants in the pathogenicity of phenotypic features are lacking. Understanding the consequence of structural variants such as copy number alterations and their role in gene expression changes is paramount in order to perform a comprehensive analysis of genetic effects on phenotypic variation and disease. RAI1 is a dosage-sensitive essential neurodevelopmental gene. Copy number loss of RAI1 results in Smith-Magenis syndrome while copy number gain results in Potocki-Lupski syndrome. Here, we present a case of a six year old female with a newly identified maternally inherited copy number loss that lies within the Smith-Magenis syndrome common deletion region, but RAI1 copy number is normal. Integration of the Encyclopedia of DNA Elements (ENCODE) data at the affected region suggests that the deletion disrupts several cis-acting regulatory elements upstream of RAI1, such as multiple repressor sites and an insulator region. Gene expression studies revealed that both the proband and the mother have significantly elevated RAI1 mRNA levels suggesting that the structural variant alters gene expression regulation. The proband and the mother both have some features of Potocki-Lupski syndrome, while the child appears to be more affected with autistic-like features. Overall, our work demonstrates that the integration of ENCODE data with structural variants of uncertain significance aids in delineating a functional consequence to a genomic aberration and subsequent diagnosis.
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.
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it