[Low-penetrance retinoblastoma due to exons 24 and 25 deletions in the Rb1 gene].
Bibliographic record
Abstract
OBJECTIVE: Identification of Rb1 mutations permits accurate genetic counseling. Characterization of the causative mutation in a large low penetrance family is likely to provide important information for tumorigenesis of retinoblastoma(RB). METHODS: Quantitative fluorescent multiplex PCR QFM-PCR technique was used for mutation detection. Long fragment PCR, reverse transcriptase-PCR, subcloning, direct sequencing and Western blotting techniques were used for characterizing the mutation. RESULTS: A deletion covering exons 24 and 25 of Rb gene was found in a large family with 122 members in four generations. Of the 18 carries in the family, only 11 were delivered to either unilateral or bilateral RB. The family has much low-penetrance retinoblastoma, compared with the usual, high-penetrance RB (95%). An extent of 4 kb fragment deletion was detected in genomic deletion of the mutation. cDNA and sequence data showed a 174 bp shorter than the wild type message RNA resulting in an in-frame loss of 58 residues. Further analysis demonstrated the truncated protein expression of 6000 Da shorter than wild type RB1 protein. CONCLUSION: QFM-PCR technique has enabled the investigators to identify a large deletion covering entire exons 24 and 25 of the Rb1 gene. It is the largest deletion ever found in low penetrance RB families. The characterizations of the mutation in genomic DNA, RNA and protein have provided new evidences which enhance credence to the idea that low penetrance retinoblastoma is caused by only partially functional disable of Rb1. The data will be useful in genetic counseling, particularly significant for the unaffected carriers in RB low penetrance families.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".