MétaCan
Menu
Back to cohort
Record W2423586139 · doi:10.1097/jom.0000000000000561

N-Acetyltransferase 2 Genotypes Are Associated With Diisocyanate-Induced Asthma

2015· article· en· W2423586139 on OpenAlexaff
Berran Yücesoy, Grace E. Kissling, Victor J. Johnson, Zana L. Lummus, Denyse Gautrin, André Cartier, Louis‐Philippe Boulet, J. Sastre, Santiago Quirce, Susan M. Tarlo, María Jesús Cruz, Xavier Muñoz, Michael I. Luster, David I. Bernstein

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsUniversité LavalPublic Health OntarioUniversity of TorontoUniversité de MontréalHôpital du Sacré-Cœur de Montréal
FundersNational Institute for Occupational Safety and HealthNational Institutes of Health
KeywordsGenotypeGenotypingAsthmaMedicineSingle-nucleotide polymorphismImmunologyPolymerase chain reactionBiologyInternal medicineGeneticsGene

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate whether genetic variants of N-acetyltransferase (NAT) genes are associated with diisocyanate asthma (DA). METHODS: The study population consisted of 354 diisocyanate-exposed workers. Genotyping was performed using a 5'-nuclease polymerase chain reaction assay. RESULTS: The NAT2 rs2410556 and NAT2 rs4271002 variants were significantly associated with DA in the univariate analysis. In the first logistic regression model comparing DA+ and asymptomatic worker groups, the rs2410556 (P = 0.004) and rs4271002 (P < 0.001) single nucleotide polymorphisms and the genotype combination, NAT2 rs4271002*NAT1 rs11777998, showed associations with DA risk (P = 0.014). In the second model comparing DA+ and DA- groups, NAT2 rs4271002 variant and the combined genotype, NAT1 rs8190845*NAT2 rs13277605, were significantly associated with DA risk (P = 0.022, P = 0.036, respectively). CONCLUSIONS: These findings suggest that variations in the NAT2 gene and their interactions contribute to DA susceptibility.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.400

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 head0.039
GPT teacher head0.275
Teacher spread0.235 · 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 designObservational
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

Citations10
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Occupational and Environmental MedicineSame topicOccupational exposure and asthmaFrench-language works237,207