Genomic changes detected by array CGH in human embryos with developmental defects
Bibliographic record
Abstract
Developmental abnormalities of human embryos can be visualized in utero using embryoscopy. Our previous embryoscopic and genetic evaluations detected developmental abnormalities in the majority of both euploid (74%) and aneuploid or polyploid (90%) miscarriages. Since we found the pattern of morphological changes to be similar in euploid and non-euploid embryos, we proposed that lethal submicroscopic changes, not detected by standard chromosome testing, may be responsible for miscarriage of euploid embryos. Whole genome oligo and bacterial artificial chromosome array comparative genome hybridization (CGH) was used to screen for submicroscopic chromosomal changes (DNA copy number variants or CNVs) in 17 euploid embryonic miscarriages, with a range of developmental abnormalities documented by embryoscopy. The CNV breakpoints were refined using a custom array (Agilent) with high resolution coverage of the CNVs. Six unique CNVs, previously not reported, were identified in 5 of the 17 embryos (29% of all cases or 50% of cases studied with higher resolution arrays). All six unique CNVs were <250 kb in size. On the basis of parental array CGH analysis, a de novo origin of a CNV was determined for one embryo (at 13q32.1) and suspected for another (at 10p15.3). Three CNVs, at Xq28, 1q25.3 and 7p14.3, were inherited and a CNV at 17p13.1 was of unknown origin. The genes contained within these unique CNVs will be discussed, with specific reference to rearrangements of syntaxin and tryptophan-aspartic acid (WD) repeat genes. Our report describes for the first time, de novo and inherited unique CNVs in euploid human embryos with specific developmental defects.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".