Generation of tandem alternative splice acceptor sites and <scp><i>CLTC</i></scp> haploinsufficiency: A cause of <scp><i>CLTC</i></scp>‐related disorder
Bibliographic record
Abstract
AG) are a common mechanism of alternative splicing, but variants that are likely to generate or to disrupt tandem splice sites have rarely been reported as disease causing. We identify a pathogenic intron 23 CLTC variant (NM_004859.4:c.[3766-13_3766-5del];[=]) in a propositus with intellectual disability and behavioral problems. By RNAseq analysis of peripheral blood mRNA, this variant generates transcripts using cryptic proximal splice acceptors (NM_004859.4: r.3765_3766insTTCACAGAAAGGAACTAG, and NM_004859.4:r.3765_3766insAAAGGAACTAG). Given that the propositus expresses 38% the level of CLTC transcripts as unaffected controls, these variant transcripts, which encode premature termination codons, likely undergo nonsense mediated mRNA decay (NMD). This is the first functional evidence for CLTC haploinsufficiency as a cause of CLTC-related disorder and the first evidence that the generation of tandem alternative splice sites causes CLTC-related disorder. We suggest that variants creating tandem alternative splice sites are an underreported disease mechanism and that transcriptome-level analysis should be routinely pursued to define the pathogenicity of such variants.
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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) | 0.001 | 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 | 0.001 | 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".