DNA Genotyping of Suspected Partial Hydatidiform Moles Detects Clinically Significant Aneuploidy
Bibliographic record
Abstract
The diagnosis of partial hydatidiform mole (PM) is especially difficult early in gestation as the morphology of nonmolar abortus (NMA) may mimic PM. Molecular genotyping analysis can definitively identify diandric triploidy, the genetic basis for PM, whereas NMA cases show a biparental inheritance. This 4-year retrospective study sought to determine what proportion of NMA cases which were initially suspected as being PM was aneuploid, and whether this knowledge of aneuploidy status is clinically useful. Cases with atypical villous morphology on histopathology suggestive of PM were subjected to molecular genotyping. The genotyping testing panel contained 19 highly polymorphic short-tandem repeat markers on chromosomes 13, 18, 21, X, and Y and 2 nonpolymorphic markers for sex determination. Informative molecular genotyping analysis was available in 127 cases (56 PMs and 71 NMAs). Aneuploidy was detected in 15/71 of NMAs (21.1%): 7 cases of trisomy 18, 3 of trisomy 13, 1 of trisomy 21, and 4 of monosomy X. It is concluded that most cases of aneuploid NMAs (11/15) detected by molecular genotyping analysis of atypical villous morphology cases are sporadic in type with a low or age-related recurrence risk. Nevertheless, this information may be useful in subsequent counseling and in women undergoing in vitro fertilization by directing preimplantation genetic diagnosis in subsequent cycles. In about a quarter of aneuploid NMAs (4/15) specific aneuploidy types which may be caused by unbalanced familial chromosome rearrangement are identified and are clinically important to patient management. Detection of clinically relevant aneuploidy in NMAs represents an important secondary benefit to the adoption of molecular genotyping analysis in suspected PM.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 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".