CUL1 variants cause severe neurodevelopmental disorders: Insights from human genetics and a zebrafish model of microcephaly
Bibliographic record
Abstract
Microcephaly is a neurodevelopmental anomaly characterized by reduced head circumference and impaired brain growth, often accompanied by intellectual disability (ID), developmental delays, and seizures. While numerous genes have been implicated in microcephaly, the role of the SCF (Skp1-Cul1-F-box protein) ubiquitin ligase complex, particularly its core component CUL1, remains poorly understood. In this study, we identified heterozygous de novo and inherited variants in the CUL1 gene in four unrelated families with severe microcephaly, ID, and developmental delays. To investigate the functional consequences of CUL1 loss of function, we developed a zebrafish model with knockdown of cul1a&b, which exhibited significant reductions in central nervous system size and behavioral defects, mirroring the clinical phenotypes observed in patients. These findings establish CUL1 as a novel gene associated with severe neurodevelopmental disorders (NDDs) and highlight its critical role in brain development. Our study provides genotype-phenotype correlations for CUL1 in NDDs, expanding the genetic spectrum of disorders linked to the SCF complex and underscoring its importance in neurodevelopment.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".