A Molecular‐Based Estimation of the Prevalence of Hypophosphatasia in the European Population
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The prevalence of hypophosphatasia (HP), a rare metabolic disorder due to loss-of-function mutations in the ALPL gene, has never been estimated in the European population. Only one published study evaluated the incidence of severe HP at 1/100,000 in Canada 53 years ago. Moderate forms of hypophosphatasia (mHP), including HP with moderate bone features and the mildest form odontohypophosphatasia, reflect both recessive and dominant inheritance, and are therefore expected to be more frequent than severe forms of HP. Here we estimated both the prevalences of severe and mHP in European populations. The prevalence of severe HP was estimated at 1/300,000 on the basis of the number of cases tested in our laboratory and originating from France during the period 2000-2009. The prevalence of mHP was then estimated by using the proportion of dominant mutations among severe alleles and by estimating the penetrance of the disease in heterozygotes for dominant mutations. According to a genetic model with four alleles resulting in 10 distinct genotypes, the prevalence of dominant mHP in the European population was estimated to be 1/6370, pointing out that mHP is much more frequent than severe HP.
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.
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 it