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Development of a High-Throughput Diagnosis Method for Detecting the ALDH2 Gene Using Fingernail DNA

2013· article· en· W3150683380 on OpenAlexvenueno aff
Takii

Bibliographic record

VenueInternational Journal of Biotechnology for Wellness Industries · 2013
Typearticle
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceUniversity of Tsukuba
KeywordsThroughputComputational biologyDNAGeneBiologyComputer scienceGenetics

Abstract

fetched live from OpenAlex

A clinical method for effective genetic screening of the aldehyde dehydrogenase 2 (ALDH2) gene was developed, using the fingernail as a source of DNA material.A highly effective protease that could solubilize fingernail keratin and inactivate any DNase co-existing in the tissue was obtained by cloning and sequencing the gene for alkaline protease from Bacillus alcalophilus, followed by expression of the gene in Bacillus subtilis.The amino acid sequence of MIB029 protease contained common regions found in four other subtilisin-like proteases.In the fingernails of 113 female university students (average age 20.8 ± 0.7 years; body mass index, 20.4 ±1.6), ALDH2 frequency was 0.66 for the typical Glu homozygote, 0.32 for the heterozygote (Glu487Lys), and 0.020 for the atypical Lys homozygote.Through a questionnaire, it was found that the subjects had not previously received information regarding the relationship between their genetic background and consumption of alcoholic beverages.We found that the genetic single nucleotide polymorphism (SNP) background to alcoholism can be easily detected by collecting fingernails, which is convenient for subjects or patients.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score0.394

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.117
GPT teacher head0.400
Teacher spread0.283 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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