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Record W4413309292 · doi:10.1186/s13148-025-01951-8

DNA methylation of food sensitization in a French-Canadian population

2025· article· en· W4413309292 on OpenAlexafffundabout
Bénédicte L. Tremblay, Anne‐Marie Madore, Catherine Laprise

Bibliographic record

VenueClinical Epigenetics · 2025
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanUniversité du Québec à Chicoutimi
FundersAgence Nationale de la RechercheCanadian Institutes of Health ResearchEuropean CommissionWellcome TrustUniversité du Québec à Chicoutimi
KeywordsHuman geneticsDNA methylationPopulationSensitizationMedicineBiologyEnvironmental healthGeneticsImmunologyGene

Abstract

fetched live from OpenAlex

Food allergy (FA) is a great public health concern with an increased prevalence in the last decades. The underlying development mechanisms of FA and food sensitization (FS), which represents the first stage of development of FA, are influenced by environmental, epigenetic, and genetic factors. DNA methylation is an important epigenetic mediator of gene–environment interactions and key to understanding these mechanisms. Studies have linked whole-genome DNA methylation profile to FA and FS, but they all use methylation arrays. Methylation sequencing captures target regions of methylome with an extensive coverage. Thus, our objective was to identify CpG sites in genome-wide immune regulatory regions associated with FS and test their association with genetic variants using methylation quantitative trait loci (mQTL) analysis in French-Canadian individuals. In 114 individuals from the Saguenay–Lac-Saint-Jean asthma family cohort, a total of 10 CpG sites out of 5,233,004 CpG sites were associated with the FS status (P < 1 × 10–8). CpG sites were located in 10 genes (ARRDC1, B9D1, CFL1, CROCC, DHX36, DND1, PMS1, RASSF1, TOP2A, and USP21) all of which were associated with immune response and allergic diseases (allergy, asthma, atopic dermatitis, and allergic rhinitis) in the literature. Almost all individuals with FS clustered based on the methylation levels of these CpG sites which reinforces their importance and relevance to discriminate individuals with and without FS in our cohort. Among the top 10 most significant CpG sites, five were associated with 478 genetic variants in trans-mQTL (FDR < 1 × 10–8). To our knowledge, this is a unique association study between FS and DNA methylation using targeted bisulfite sequencing across the genome. This approach provides high-resolution assessment of genome-wide functional methylome that yields valuable understandings to this field of research. The results reveal potential relationships between FS, CpG sites, and genetic variants located in genes involved in allergic diseases. This provides potential insights on the underlying effects of DNA methylation and genetic variants on FS and possibly the pathogenesis of FA. Further epigenome-wide studies on larger samples combined with genome-wide genotyping are needed to validate the results and verify the biological potential of these CpG sites.

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)0.001
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 score0.237
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.049
GPT teacher head0.387
Teacher spread0.338 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

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