New Mutations in the Wilson Disease Gene, <i>ATP7B</i> : Implications for Molecular Testing
Bibliographic record
Abstract
Wilson disease (WND), an autosomal recessive disorder of copper transport with a broad range of genotypic and phenotypic characteristics, results from mutations in the ATP7B gene. ATP7B encodes a copper transporting P-type ATPase involved in the transport of copper into the plasma protein ceruloplasmin, and for excretion of copper from the liver. Defects in ATP7B lead to copper storage in liver, brain and kidney. Mutation analysis was carried out on 300 WND patients of various origins, and new mutations not previously reported were identified: European white (p.L217X, c.918_931, c.1073delG, c.3082_3085delAAGAinsCG, p.V536A, p.S657R, p.A971V, p.T974M, p.Q1004P, p.D1164N, p.E1173G, p.I1230V, p.M1359I, c.2355+4A>G), Sephardic Jewish (p.Q286X), Filipino (p.G1149A), Lebanese (p.R1228T), Japanese (p.D1267V) and Taiwanese (p.A1328T). All but one missense variant have strong evidence for classification as disease-causing mutations. In the patients reported here, we also identified 20 nucleotide substitutions, six not previously reported, which cause silent amino acid changes or intronic changes. Documentation and characterization of all variants is essential for accurate DNA diagnosis in WND because of the wide range of clinical and biochemical variability.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".