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Record W3193284955 · doi:10.1289/isee.2021.o-to-141

Longitudinal analysis of DNA methylation in relation to gestational perfluoroalkyl substance exposure: An epigenome-wide association study

2021· article· en· W3193284955 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueISEE Conference Abstracts · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPerfluorooctaneDNA methylationMethylationOffspringEpigenomeDifferentially methylated regionsCord bloodGestational ageGestationInternal medicineMedicineBiologyPhysiologyPregnancyAndrologyGeneticsEndocrinologyGeneChemistryGene expression

Abstract

fetched live from OpenAlex

BACKGROUND AND AIM: Alterations to DNA methylation may underlie the association between gestational exposure to perfluoroalkyl substances (PFAS) and adverse health outcomes in children. However, few studies have examined the association between gestational PFAS exposure and DNA methylation, and no studies have repeated DNA methylation data across childhood. We examined associations between gestational PFAS exposure and repeated measures of offspring peripheral leukocyte DNA methylation among 266 mother-child pairs enrolled in the HOME Study (Cincinnati, OH). METHODS: We quantified serum concentrations of perfluorooctanoate (PFOA), perfluorooctane sulfonate (PFOS), perfluorononanoate (PFNA), and perfluorohexane sulfonate (PFHxS) in mothers at ~16 weeks gestation. We measured DNA methylation at delivery (cord blood) and age 12 years using the Illumina HumanMethylation EPIC BeadChip. We analyzed the associations between log2-transformed PFAS concentrations and repeated DNA methylation measures using generalized estimating equations. Visit by PFAS interaction terms were used to test the stability of these differences across time. We performed Gene Ontology (GO) enrichment analysis to identify significant biological pathways. RESULTS:A total of 35 loci were significantly associated with PFAS (false discovery rate, q 0.05). Among the 5 loci for PFOS, 10 for PFOA, 7 for PFHxS, and 13 for PFNA (q 0.01), none overlapped. These loci mapped to genes (e.g., AGAP1, HPSE2, HABP2, RNF13, RADIL, and TMEM56) that are associated with cancers, cardiovascular disease, and cognitive function. We found little evidence that associations between PFAS and DNA methylation changed over time. The most significant GO pathways included homophilic cell adhesion, cell-cell adhesion and integral component of plasma membrane. CONCLUSIONS:Using longitudinal data, we identified loci associated with PFAS that have not been reported. Several loci were in genes linked to PFAS-associated health outcomes. Future studies are needed to confirm our findings and examine whether DNA methylation mediates associations between gestational PFAS exposure and offspring health. KEYWORDS: PFAS, Epigenomics, Biomarkers of exposure, Environmental epidemiology

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.046
GPT teacher head0.311
Teacher spread0.264 · 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