Disruption of TBC1D7, a subunit of the TSC1-TSC2 protein complex, in intellectual disability and megalencephaly
Bibliographic record
Abstract
BACKGROUND: Mutations in TSC1 or TSC2 cause the tuberous sclerosis complex (TSC), a disorder characterised by the development of hamartomas or benign tumours in various organs as well as the variable presence of epilepsy, intellectual disability (ID) and autism. TSC1, TSC2 and the recently described protein TBC1D7 form a complex that inhibits mTORC1 signalling and limits cell growth. Although it has been proposed that mutations in TBC1D7 might also cause TSC, loss of its function has not yet been documented in humans. METHODS AND RESULTS: We used homozygosity mapping and exome sequencing to study a consanguineous family with ID and megalencephaly but without any specific features of TSC. We identified only one rare coding variant, c.538delT:p.Y180fsX1 in TBC1D7, in the regions of homozygosity shared by the affected siblings. We show that this mutation abolishes TBC1D7 expression and is associated with increased mTORC1 signalling in cells of the affected individuals. CONCLUSIONS: Our study suggests that disruption of TBC1D7 causes ID but without the other typical features found in TSC. Although megalencephaly is not commonly observed in TSC, it has been associated with mTORC1 activation. Our observation thus reinforces the relationship between this pathway and the development of megalencephaly.
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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".