Evidence map›Paper›PMID 41372382›Full record

ArticleScientific reports2025

Associations of DNA methylation estimators of protein abundance with concurrent and future physical health risk factors.

Scott Waterfield, Paul Yousefi, Matthew Suderman

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Scott WaterfieldMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Paul YousefiMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Matthew SudermanMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK. matthew.suderman@bristol.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation (DNAm) is an epigenetic modification which plays a role in gene regulation and has genetic and environmental influences. Recently, DNAm-based models of protein abundance (termed episcores) have been developed and were found to be associated with incident disease in older adults. Here, we ask if these episcores are associated with latent physical health phenotypes in children and young adults in the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort. Episcores were projected in ALSPAC participants who had DNAm measurements in cord blood, and peripheral blood at ages seven, nine, 17, and 24 (n = 192–2857). We analysed cross-sectional associations between 108 episcores and 17 physical health phenotypes, followed by an examination of prospective associations between episcores and the same phenotypes measured 2 + years after the blood samples used for episcore calculation. Two-sample Mendelian randomisation (2SMR) was then used to evaluate evidence for causal relationships between the underlying proteins and any associated physical health phenotypes. Of the associations tested between 17 physical health phenotypes and 108 episcores at multiple timepoints, 9 cross-sectional (CHIT1 is associated with 8 of these) and 11 prospective (SEMA3E is associated with 7 of these) phenotype-episcore associations were discovered. Of these, no 2SMR analyses suggested a causal effect of a protein on its related phenotype. We find evidence to suggest that episcores may be useful for discovering protein-phenotype associations in populations lacking direct measurements of protein abundance.

Indexed as

DNA MethylationChildCross-Sectional StudiesEpigenesis, GeneticFemaleHumansLongitudinal StudiesMendelian Randomization AnalysisPhenotypeRisk FactorsALSPACDNA methylationEpigeneticsEpiscoresLongitudinalPhysical healthProteomicsRisk factors

Identifiers

PMID41372382
PMCPMC12808646

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