Paternal transmission of fragile X syndrome
Bibliographic record
Abstract
We present a family in which a fragile X mosaic male, who carries both premutation and full mutation alleles in his peripheral blood leukocytes, has a daughter with both premutation and partially methylated full mutation alleles and a significant developmental disability. To our knowledge, this is the first report of such an occurrence and it challenges current thinking about the expansion and transmission of unstable FMR1 alleles from men to their daughters. It is currently accepted that neither males with premutations nor full mutations are at risk for having daughters with full mutations and fragile X syndrome. The sperm cells of full mutation males are thought to carry only premutation alleles. These alleles, when transmitted through a male, regardless of his cognitive status, are thought to be unable to expand to full mutations in the next generation. In effect, the expansion from premutation to full mutation has only been observed through female meioses. The sperm cells in the father in this family have been shown to contain only alleles in the premutation range. Since his daughter has both premutation and full mutation alleles the expansion to full mutation in this case must have occurred postzygotically.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".