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Record W2093585732 · doi:10.1089/gtmb.2009.0082

An Unusual Melting Curve on a LightCycler Due to a New Mutation in Methylenetetrahydrofolate Reductase

2009· article· en· W2093585732 on OpenAlexafffund
Brian M. Gilfix

Bibliographic record

VenueGenetic Testing and Molecular Biomarkers · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsRoyal Victoria Hospital
FundersMcGill University Health Centre
KeywordsMethylenetetrahydrofolate reductaseMelting curve analysisMutationGeneticsBiologyMedicineGenePolymerase chain reactionGenotype

Abstract

fetched live from OpenAlex

Methylenetetrahydrofolate reductase (MTHFR; E.C. 1.5.1.20) catalyzes the reduction of 5,10-methylenetetrahydofolate to 5-methytetrahydrofolate, and its activity is affected by a number of polymorphisms and mutations, the best known being MTHFR c.677C > T (OMIM 607093.003). The c.677C > T mutation is often analyzed by melting curve analysis after real-time polymerase chain reaction. We observed in one patient upon dual hybridization probe analysis in a Roche LightCycler 1.2 an unusual melting curve peak at 53.4 degrees C instead of one expected at either 51.6 degrees C or 60.4 degrees C. We sequenced the region of MTHFR interrogated by the dual hybridization probes, which revealed a c.685A > G base substitution that would result in an Ile225Val substitution. In conclusion, we identified the cause of an unusual melting curve in a commonly used genotyping technique for MTHFR c.677C > T as due to a novel mutation highlighting the ability of melting analysis to identify new sequence variants.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.009
GPT teacher head0.261
Teacher spread0.251 · 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 designCase report
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

Citations0
Published2009
Admission routes2
Has abstractyes

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