Zooming into rearranged genome: applying pipeline of cytological, genomic, and transcriptomic methods for structural variant interpretation
Bibliographic record
Abstract
Abstract Recent advances in genomic technologies have greatly enhanced our understanding of genotype–phenotype relationships and improved diagnostic of genetic diseases. However, the dissection of complex structural variants remains challenging due to the limitations of current methods in resolving their breakpoint and interpreting phenotypes involving multiple disrupted genes. In this study, we demonstrate how an integrative approach—combining cytological, genomic, and transcriptomic methods—enables the detection, structural and functional characterization of a complex structural variants affecting the MBD5 , USP34 , and XPO1 genes. Our findings underscore the utility of the Exo-C, a modified chromosome conformation capture technique, in resolving complex rearrangements. We also report, for the first time, a composite neurodevelopmental phenotype resulting from the combined effects of MBD5 -associated intellectual disability and 2p15p16.1 microdeletion syndromes.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".