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Record W2084715654 · doi:10.1002/humu.9481

Low proportion of whole exon deletions causing phenylketonuria in Denmark and Germany

2007· article· en· W2084715654 on OpenAlexaff
Lisbeth Birk Møller, Anders O.H. Nygren, Patrick Scott, Pia Hougaard, Jytte Bieber Nielsen, Caroline Hartmann, Flemming Güttler, Linda Tyfield, Johannes Zschocke

Bibliographic record

VenueHuman Mutation · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsMontreal Children's HospitalMcGill University Health Centre
Fundersnot available
KeywordsMultiplex ligation-dependent probe amplificationExonBiologyGeneticsGene duplicationMutationAllelePhenylalanine hydroxylaseMolecular biologyMultiplexFrameshift mutationGenePhenylalanine

Abstract

fetched live from OpenAlex

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%.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.711
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.272
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations28
Published2007
Admission routes1
Has abstractyes

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