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Record W2343189368

Индуцированные радоном хромосомные аберрации в лимфоцитах крови у детей в связи с полиморфизмом генов ферментов биотрансформации ксенобиотиков

2012· article· ru· W2343189368 on OpenAlexaboutno aff
Ахматьянова Венера Ринатовна, Минина Варвара Ивановна, Дружинин Владимир Геннадьевич, Тимофеева Анна Александровна, Головина Татьяна Александровна, Глушков Андрей Николаевич

Bibliographic record

VenueМедицина в Кузбассе · 2012
Typearticle
Languageru
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsGSTP1GenotypeGeneticsBiologyPhysiologyIncidence (geometry)Gene
DOInot available

Abstract

fetched live from OpenAlex

The goals of the study was to analyze level and spectrum of chromosome aberrations in lymphocytes of children living in a boarding school (Tashtagol, Kemerovo region) in connection with genes polymorphism of enzymes of xenobiotics biotransformation phase I (CYP1A1, CYP1A2) and II (GSTM1, GSTT1, GSTP1). The study included 211 people from 8 to 16 years old. The ethnic composition of the group studied was the following: Shors (133), Caucasians (38), Metises (40). High frequency of chromosome damage incidence in boarding school children compared to the control group incidence rate may indicate organism adaptation processes failure caused by chronic exposure to excessive radon and heavy metals concentrations. The analysis of xenobiotic biotransformation enzymes genotypes and chromosomal damage frequency correlation in these three ethnic groups allowed identifying the so-called «protective» and «predisposing» genotypes. Cytogenetic study and analysis of correlation of «protective» and «predisposing» genotypes and different types of chromosomal damage identified significant ethnic differences. It was shown that «predisposing» genotypes in Shors are GSTT1 0/0, in Caucasians CYP1A2 *1A*1A, GSTM1 0/0, in Metis GSTP1 Val / Val. As «protective» genotypes the following were identified: in Shors GSTT1 +/+, in Caucasians CYP1A2 *1A*1F, *1F*1F and GSTM1 +/+, in Metis GSTP1 Ala/Ala and Ala/Val.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0310.042

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 head0.049
GPT teacher head0.370
Teacher spread0.322 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2012
Admission routes1
Has abstractyes

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