The Phenylalanine Hydroxylase Locus: A Marker for the History of Phenylketonuria and Human Genetic Diversity
Bibliographic record
Abstract
Disease-producing allelic variation describes one aspect of human genetic diversity. Phenylketonuria, the major type of hyperphenylalaninaemia and formerly a functional genetic lethal, has a 2% carrier frequency in temperate-zone populations. Newborn screening for hyperphenylalaninaemia (incidence of 1 in 10000) has made it one of the most widely ascertained human Mendelian traits; 99% of hyperphenylalaninaemia mutations map to the PAH (phenylalanine hydroxylase) gene on 12q24.1, and most cause phenylketonuria. The gene is well characterized. Analysis of 3986 mutant chromosomes by 81 investigators in 26 countries has identified 243 different mutations in 788 different associations (with polymorphic intragenic haplotypes [seven diallelic sites, one short tandem repeat, one variable number of tandem repeats], populations and regions). These data are compiled on a database accessible on the World-Wide Web or as a stand-alone software package. A few phenylketonuria alleles occur at high relative frequencies in particular populations on one or only a few haplotypes, suggesting positive selection in the past. Additional mechanisms (founder effect, drift and recurrent mutation) can explain frequencies and distributions of particular alleles. Allele stratification in Europeans and Orientals implies that mechanism(s) accounting for distribution and high frequencies of PAH alleles were acting before and during demic expansion in Europe and after the European and Oriental radiations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".