Pathogenic variants in the cohesin loader subunit MAU2 lead to a new Cornelia de Lange Syndrome subtype
Bibliographic record
Abstract
Abstract The role of the cohesin complex depends on the cohesin loader proteins NIPBL and MAU2. While NIPBL variants are a major cause of Cornelia de Lange Syndrome (CdLS), the role of MAU2 in disease is unclear. We describe 18 individuals carrying 15 heterozygous MAU2 variants and demonstrate pathogenicity through functional analyses. MAU2 in-frame variants predominantly impair NIPBL–MAU2 interaction, whereas truncating variants cause MAU2 haploinsufficiency and lead to NIPBL reduction. Most patients exhibit a DNA methylation profile compatible with the CdLS episignature. We also identified two MAU2 -specific episignatures that reflect variant-dependent molecular consequences. Affected individuals display a wide range of phenotypes, from classic CdLS to milder presentations, with short stature and microcephaly as consistent features. A heterozygous Mau2 knockout mouse model recapitulated these traits, confirming the causal role of MAU2 disruption in vivo. Our study establishes MAU2 as a new CdLS-associated gene and delineates a MAU2 -related chromatinopathy with variable expressivity.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".