Fetal Presentation of <i>MYRF</i>‐Related Cardiac Urogenital Syndrome: An Emerging and Challenging Prenatal Diagnosis
Bibliographic record
Abstract
PURPOSE: MYRF-related cardiac-urogenital syndrome (MYRF-CUGS) is a rare condition associated with heterozygous MYRF variants. The description of MYRF-CUGS phenotype is mostly based on postnatal cases and 36 affected individuals have been published so far. We aim now to delineate the prenatal phenotype of MYRF-CUGS by reporting clinical data from fetuses and neonates with a pathogenic MYRF variant. METHODS: Detailed radiographic, pathological, clinical, and molecular data from 12 prenatal cases were collected through an international collaborative study. Adding the five fetuses previously published, we were able to study a cohort of 17 cases. RESULTS: Main ultrasound-accessible manifestations of MYRF-CUGS include congenital heart defects (13/17, 76%), congenital diaphragmatic hernia (10/17, 59%) and disorders of sexual differentiation in 46, XY fetuses (7/14; 50%). Postnatal examination and/or autopsy data highlighted additional birth defects and neurological findings with a large spectrum of severity. Molecular results revealed ten previously unpublished variants, one missense and nine predicted truncating variants (three frameshift, three nonsense and three splice site variants). CONCLUSION: We report the first prenatal cohort of MYRF-CUGS, allowing us to further characterize the variable expressivity of this rare disorder in fetuses. Severe congenital anomalies with a poor prognosis are more frequent than previously described in postnatal cases. Our data suggest that MYRF-CUGS is characterized by a recurrent recognizable malformative association, accessible to prenatal diagnosis, with a significant intrafamilial phenotypic variability making genetic counseling challenging.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".