Further evidence for allelic heterogeneity in Hartnup disorder
Bibliographic record
Abstract
Hartnup disorder is an autosomal recessive impairment of amino acid transport in kidney and intestine. Mutations in SLC6A19 have been shown to cosegregate with the disease in the predicted recessive manner; however, in two previous studies (Seow et al., Nat Genet 2004;36:1003-1007; Kleta et al., Nat Genet 2004;36:999-1002), not all causative alleles were identified in all affected individuals, raising the possibility that other genes may contribute to Hartnup disorder. We have now investigated six newly acquired families of Australian and Canadian (Province of Quebec) origin and resequenced the entire coding region of SLC6A19 in families with only a single disease allele identified. We also studied one American family in whom no mutations had been identified in a previous study (Kleta et al., Nat Genet 2004;36:999-1002). We have identified seven novel mutations in SLC6A19 that show functional obliteration of the protein in vitro, explaining Hartnup disorder in all reported families so far. We demonstrate that Hartnup disorder is allelically heterogeneous with two mutated SLC6A19 alleles, whether identical or not, necessary for manifestation of the characteristic aminoaciduria in affected individuals. This study resolves the previous hypothesis that other genes contribute to the Hartnup phenotype.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".