The E326K mutation and Gaucher disease: mutation or polymorphism?
Bibliographic record
Abstract
Gaucher disease is caused by mutations in the gene for human glucocerebrosidase, a lysosomal enzyme involved in the intracellular hydrolysis of glucosylceramide. While over 150 different glucocerebrosidase mutations have been identified in patients with Gaucher disease, not all reported mutations have been fully characterized as being causative. One such mutation is the E326K mutation, which results from a G to A nucleotide substitution at genomic position 6195 and has been identified in patients with type 1, type 2 and type 3 Gaucher disease. However, in each instance, the E326K mutation was found on the same allele with another glucocerebrosidase mutation. Utilizing polymerase chain reaction (PCR) screening and restriction digestions of both patients with Gaucher disease and normal controls, we identified the E326K allele in both groups. Of the 310 alleles screened from patients with Gaucher disease, the E326K mutation was detected in four alleles (1.3%). In addition, screening for the E326K mutation among normal controls from a random population revealed that three alleles among 316 screened (0.9%) also carried the E326K mutation. In the normal controls with the E326K allele, the glucocerebrosidase gene was completely sequenced, but no additional mutations were found. Because the E326K mutation may be a polymorphism, we caution that a careful examination of any allele with this mutation should be performed to check for the presence of other glucocerebrosidase mutations.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.004 | 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".