Genotype-phenotype correlations in MYCN-related Feingold syndrome
Bibliographic record
Abstract
Feingold syndrome (FS) is the most frequent cause of familial syndromic gastrointestinal atresia and follows autosomal dominant inheritance. FS is caused by germline mutations in or deletions of the MYCN gene. Previously, 12 different heterozygous MYCN mutations and two deletions containing multiple genes including MYCN were described. All these mutations result in haploinsufficiency of both the canonical MYCN protein and the shorter isoform, DeltaMYCN. We report 11 novel mutations including seven mutations in exon 2 that result in a premature termination codon (PTC) in the long MYCN transcript. Moreover, we have identified a PTC in exon 1 that only affects the DeltaMYCN isoform, without a phenotypic effect. This suggests that mutations in only DeltaMYCN do not contribute to the FS. Additionally, we found three novel deletions encompassing MYCN. Together with our previous report we now have a total of four missense mutations in the DNA binding domain, 19 PTCs of which six render the transcript subject to nonsense-mediated decay (NMD), and five larger deletions in a total of 77 patients. We have reviewed the clinical features of these patients, and found that digital anomalies, e.g., brachymesophalangy and toe syndactyly, are the most consistent features, present in 100% and 97% of the patients, respectively. Small head circumference was present in 89% of the cases. Gastrointestinal atresia remains the most important major congenital anomaly (55%), but cardiac and renal anomalies are also frequent. We suggest that the presence of brachymesophalangy and toe syndactyly in combination with microcephaly is enough to justify MYCN analysis.
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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) | 0.001 | 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 | 0.001 | 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".