Multicolor fluorescence in situ hybridization analysis of meiotic chromosome segregation in a 47,XYY male and a review of the literature
Bibliographic record
Abstract
The frequencies of aneuploid and diploid sperm were determined in a 47,XYY male using multi-color fluorescence in situ hybridization (FISH) analysis, and compared with those from 10 control donors. A total of 30,078 sperm from the patient was scored, 15,044 by two-color FISH for chromosomes 13 and 21, and 15,034 by three-color FISH for the sex chromosomes using chromosome 1 as an internal autosomal control for diploidy and lack of hybridization. The frequencies of X-bearing (49.73%) and Y-bearing sperm (49.46%) in control males were not significantly different from the expected 50% (chi(2)-test for goodness of fit). The ratio of 24,X (50.60%) to 24, Y sperm (48.35%) in the patient, however, was significantly different from the controls (P = 0.0144, chi(2)-test for independence) and from the expected 1:1 ratio (P = 0.0055, chi(2)-test for goodness of fit). There was no significant increase in the frequency of diploid sperm when compared with the controls (chi(2)-test for independence). Significantly increased frequencies were found for 24,YY (0.07% vs. 0.02%, P = 0.0009) and 24,XY (0.44% vs. 0.29%, P = 0.0025), but not for 24,XX (0.05% vs. 0.05%, P > 0. 05), 24,+13 (0.07% vs. 0.07%, P > 0.05) or 24,+21 sperm (0.21% vs. 0. 18%, P > 0.05) in the 47,XYY male when compared with control donors (chi(2)-test for independence). Our results support the theory that loss of the extra Y chromosome occurs during spermatogenesis in most cells. In this XYY patient there was a significant increase in the frequency of sperm with sex chromosomal abnormalities but no suggestion of an inter-chromosomal effect on autosomes. All 3-color FISH studies in the literature demonstrate a significantly increased risk of gonosomal aneuploidy in XYY males, with the risk being on the order of 1%.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| 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) | 0.000 | 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 teacher head, 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".