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Record W2883195755 · doi:10.1373/jalm.2017.024984

Multiplex Allele-Specific PCR for Simultaneous Detection of H63D and C282Y HFE Mutations in Hereditary Hemochromatosis

2018· article· en· W2883195755 on OpenAlexaffabout
Heleen H. Arts, Barry Eng, John S. Waye

Bibliographic record

VenueThe Journal of Applied Laboratory Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsHamilton Health SciencesHamilton Regional Laboratory Medicine ProgramMcMaster University
Fundersnot available
KeywordsHereditary hemochromatosisHemochromatosisGenotypingMultiplexAlleleMultiplex polymerase chain reactionGenotypeVariants of PCRPolymerase chain reactionGeneticsBiologyMolecular diagnosticsMolecular biologyMedicineGene

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.258
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2018
Admission routes2
Has abstractyes

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