Multiplex Allele-Specific PCR for Simultaneous Detection of H63D and C282Y HFE Mutations in Hereditary Hemochromatosis
Bibliographic record
Abstract
BACKGROUND: Hereditary hemochromatosis (HH) is characterized by excessive iron absorption in the intestine, which can lead to failure of vital organs such as the heart, liver, and pancreas. Among northern Europeans, HH is most often associated with the C282Y and H63D mutations of the HFE gene. We developed a test that allows screening for both mutations in a single reaction. METHODS: A multiplex allele-specific PCR was developed for simultaneous genotyping of the H63D and C282Y HFE mutations. PCR fragments were designed such that the resulting PCR product can be analyzed in a single polyacrylamide gel lane. RESULTS: Test results from our multiplex assay were concordant with genotypes of 55 Canadian patients with suspected hemochromatosis, which had previously been established by allele-specific PCRs that targeted H63D and C282Y in separate reactions. CONCLUSIONS: Molecular diagnostic detection of H63D and C282Y mutations can be achieved by a variety of methods, but these are not necessarily time-efficient or economical. Multiplex allele-specific PCR is an excellent tool for molecular diagnostic screening for H63D and C282Y mutations in patients with suspected hemochromatosis. This method is inexpensive, accurate, and highly efficient in terms of labor, throughput, and turnaround time.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".