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Record W2015371302 · doi:10.1002/cbf.1132

Genotype and allele frequencies of the polymorphic methylenetetrahydrofolate reductase gene in Turkey

2004· article· en· W2015371302 on OpenAlexaboutno aff
Ali Sazcı, Emel Ergül, Güner Kaya, İhsan Kara

Bibliographic record

VenueCell Biochemistry and Function · 2004
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsnot available
Fundersnot available
KeywordsMethylenetetrahydrofolate reductaseAlleleLoss of heterozygosityGenotypeAllele frequencyGeneticsCompound heterozygosityPopulationGenotype frequencyBiologyPolymorphism (computer science)Heterozygote advantageGeneMedicine

Abstract

fetched live from OpenAlex

The polymorphic methylenetetrahydrofolate reductase (MTHFR) gene polymorphisms C677T and A1298C cause mild hyperhomocysteinemia, not only in homozygotes for C677T, but also in compound heterozygotes for C677T/A1298C. The aim of this study was to determine allelic frequencies of the polymorphic MTHFR gene C677T, A1298C. In this regard, we have investigated the allelic frequencies of C677T and A1298C polymorphisms of the MTHFR gene in 1684 randomized individuals around Turkey. DNA samples isolated from peripheral blood samples of randomized individuals were analysed. The study population consisted of 1004 females and 680 males. The frequency in Turkey of the C677T was 42.9 %; of C677C, 47.4 %; and of T677T, 9.6 %. The frequency in Turkey of A1298C was 43.7 %; of A1298A, 46.3 %; and of C1298C, 10.0 %. The allelic frequencies of the T allele of MTHFR 677 and the C allele of MTHFR 1298 were 33.34 and 33.16 %, respectively. The frequency of C677T/A1298C compound heterozygosity is highest in Turkey (21.6 %), as compared to Canada (15 %), the United States (17 %) and The Netherlands (20 %).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.010
Threshold uncertainty score0.226

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.223
Teacher spread0.212 · 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 teacher head, 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

Citations75
Published2004
Admission routes1
Has abstractyes

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