Low proportion of whole exon deletions causing phenylketonuria in Denmark and Germany
Bibliographic record
Abstract
Phenylketonuria (PKU) is an autosomal recessive genetic disorder caused by mutations of the gene encoding phenylalanine hydroxylase (PAH). More than 500 different PAH mutations have been identified and about 90% of these are single base mutations. Although the identification rate of the PAH mutations is generally very high, some variants remain unidentified. A fraction of these mutations are the result of genomic deletions or duplications, which are not recognized with standard PCR-based methods. Here we present the results of exon deletion or duplication analysis in a total of 34 families, in which two mutations had not been identified using conventional diagnostic screening techniques. Using multiplex ligation-dependent probe amplification (MLPA), we found a deletion covering exon 1 and exon 2 (c.1-?_168+?del) in one patient, a deletion of exon 3 (c.169-?_352+?del) in four patients, and a deletion of exon 5 (c.442-?_509+?del) in two patients. A deletion was thus detected in about 20% (7/34) of the families tested. Out of a combined cohort of 570 independent PKU patients from Denmark and Germany, exon deletions were identified in a total of four patients. The estimated allelic frequency of exon deletions in PKU patients in these two populations is therefore below 0.5%.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".