CpG methylation accounts for a recurrent mutation (c.1222C>T) in the humanPAH gene
Bibliographic record
Abstract
The human PAH gene (GenBank: U49897.1 (cDNA), AF404777 (gDNA)) harbors alleles that either cause or are associated with hyperphenylalaninemia and phenylketonuria (http://www.pahdb.mcgill.ca). Mutation analysis has identified approximately 500 alleles of which approximately 30 produce polymorphic core haplotypes. The c.1222C>T allele (p.R408W) is the most prevalent and widely encountered PKU-causing allele. Because it occurs on multiple locus-specific polymorphic haplotypes, it is probably not identical by descent in different populations. This mutation involves a CpG dinucleotide in a so-called "hypermutable" codon suggesting that c.1222C>T could be a recurrent allele following spontaneous methylation-mediated deamination of 5 mC. This concept is widely assumed and accepted but the 5mC status of hypermutable codons has seldom been confirmed. We show that the PAH c.1222C nucleotide is indeed methylated (c.1222 mC) in somatic genomes (leukocyte and brain) of H. sapiens. Examination of a representative region in exon 12 (and also in exon 7) in the PAH gene shows that 5 mC is restricted to cytosines in CpG dinucleotides in the hypermutable codons. The methylation pattern seen in human PAH exon 12 was also observed in the corresponding codon in three nonhuman primates. The finding offers at least one explanation for the high relative frequency of the c.1222C>T (p.R408W) allele in the human population.
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".