Characterization of six novel mutations in the methylenetetrahydrofolate reductase (MTHFR) gene in patients with homocystinuria
Bibliographic record
Abstract
Severe deficiency of methylenetetrahydrofolate reductase (MTHFR) is the most common inborn error of folate metabolism. Patients are characterized by severe hyperhomocysteinemia, homocystinuria and a variety of neurological and vascular problems. Eighteen rare mutations have been reported in this group of patients. Two polymorphisms which cause mild enzyme deficiencies have been described (677C-->T and 1298A-->C). The first sequence change encodes a thermolabile enzyme and is associated with mild hyperhomocysteinemia. Six novel point mutations are described in patients with severe deficiency of MTHFR, along with their associated polymorphisms and clinical phenotypes. Of the two nonsense mutations (1762A-->T, 1134C-->G) and four missense mutations (1727C-->T, 1172G-->A, 1768G-->A, and 358G-->A), one was identified in the N-terminal catalytic domain, while the others were located in the regulatory C-terminal region. All four residues affected by missense mutations are conserved in one or more MTHFRs of other species. This report brings the total to 24 mutations identified in severe MTHFR deficiency, with two mutations identified in each of 22 patients.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".