A comparison of sperm aneuploidy rates between infertile men with normal and abnormal karyotypes
Bibliographic record
Abstract
BACKGROUND: Abnormal semen parameters in chromosomally normal men are an indicator of an increased risk of sperm aneuploidy. Male carriers of chromosomal rearrangements may also display an increase in sperm aneuploidy for chromosomes not involved in the rearrangement, known as an interchromosomal effect (ICE), and this may be related to the impaired semen parameters of these men. METHODS: Aneuploidy was examined in ejaculate sperm from 27 men: 8 carriers of chromosomal rearrangements with severe oligoasthenoteratozoospermia (OAT) or severe teratozoospermia; 10 chromosomally normal men with similarly abnormal semen parameters; and 9 proven fertile men with normal semen parameters. Fluorescence in situ hybridization was used to examine aneuploidy for chromosomes 13, 18, 21, X and Y. RESULTS: We observed evidence of an ICE in three of the eight carriers of chromosomal rearrangements. However, men who were chromosomally normal but had severe OAT more frequently displayed increased disomy rates. Although autosomal disomy rates were only modestly increased in some of these men, increased XY disomy ranged from slight to extreme (up to a 100-fold increase). CONCLUSIONS: Despite their similar semen parameters, infertile men with normal karyotypes displayed more frequent increases in sperm aneuploidy, particularly involving the sex chromosomes, than infertile men who were carriers of chromosomal rearrangements. The difference in the magnitude and type of sperm aneuploidy between the two infertile groups is likely related to the different causes of infertility.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".