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Novel detection assay by PCR???RFLP and frequency of the CYP3A5 SNPs, CYP3A5 *3 and *6, in a Japanese population

2002· article· en· W2056362627 on OpenAlexaff
Shuichi Fukuen, Tsuyoshi Fukuda, Hiromi Maune, Yuka Ikenaga, Isamu Yamamoto, T. Inaba, Junichi Azuma

Bibliographic record

VenuePharmacogenetics · 2002
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCYP3A5Single-nucleotide polymorphismBiologyRestriction fragment length polymorphismAllele frequencyGeneticsPharmacogeneticsPolymerase chain reactionAlleleMolecular biologyPolymorphism (computer science)GeneGenotype

Abstract

fetched live from OpenAlex

In this study, we established useful and reliable methods for the direct detection of the variants of CYP3A5 gene by polymerase chain reaction (PCR) and DdeI restriction analysis. The frequency of CYP3A5 related SNPs in 200 healthy Japanese male subjects was determined. The homozygous wild-type (*1/*1) frequency was 7.0% (14/200), the heterozygous (*1/*3) frequency was 32.5% (65/200) and the homozygous mutant-type (*3/*3) frequency was 60.5% (121/200). The *6 allele was not detected in any of the Japanese individuals. This result suggests that an estimated 40% of the Japanese express relatively high levels of metabolically active CYP3A5 protein. The proposed detection assays are useful for screening the CYP3A5 related SNPs in pharmacogenetic research.

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)0.001
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.080
GPT teacher head0.367
Teacher spread0.288 · 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

Citations176
Published2002
Admission routes1
Has abstractyes

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