DNA methylation models of protein abundance across the lifecourse

Scott B Waterfield*, Paul D Yousefi, Matthew J Suderman

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

3 Citations (Scopus)

Abstract

Background

Multiple studies have shown that DNA methylation (DNAm) models of protein abundance can be informative about exposure, phenotype and disease risk. Here we investigate and provide descriptive details of the capacity of DNAm to capture non-genetic variation in protein abundance across the lifecourse.

Methods

We evaluated the performance of 14 previously published DNAm models of protein abundance (episcores) in peripheral blood from a large adult population using the Avon Longitudinal Study of Parents and Children (ALSPAC) at ages 7-24 and their mothers antenatally and in middle age (N range = 145-1464). New age-specific episcores were trained in ALSPAC and evaluated at different ages. In all instances, Episcore-protein associations were evaluated with and without adjustment for genetics. The association between longitudinal protein stability and longitudinal episcore projection was also evaluated, as was sex-specificity of episcores derived solely in female participants.

Findings

Of the 14 Gadd episcores, 10 generated estimates associated with abundance in middle age, 9 at age 24, and none at age 9. Eight of these episcores explained variation beyond genotype in adulthood (6 at age 24; 7 at midlife). At age 9, the abundances of 22 proteins could be modelled by DNAm, 7 beyond genotype of which one trained model generated informative estimates at ages 24 and in middle age. At age 24, 31 proteins could be modelled by DNAm, 19 beyond genotype, of which 5 trained models generated informative estimates at age 9 and 8 in middle age. In middle age, 23 proteins could be modelled, 13 beyond genotype, of which 3 were informative at age 9 and 7 at age 24.

Interpretation

We observed that episcores performed better at older ages than in children with several episcores capturing non-genetic variation at all ages.
Original languageEnglish
Article number189
Number of pages11
JournalClinical Epigenetics
Volume16
Issue number1
DOIs
Publication statusPublished - 21 Dec 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Research Groups and Themes

  • ICEP
  • ICEP2

Keywords

  • Epigenetics
  • DNA methylation
  • Proteomics
  • penalized regression
  • lifecourse epidemiology
  • ALSPAC

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