Epigenome-wide change and variation in DNA methylation in childhood: Trajectories from birth to late adolescence

Rosa H Mulder, Alexander Neumann, Charlotte A M Cecil, Esther Walton, Lotte C Houtepen, Andrew J Simpkin, Jolien Rijlaarsdam, Bastiaan T Heijmans, Tom R Gaunt, Janine F Felix, Vincent W V Jaddoe, Marian J Bakermans-Kranenburg, Henning Tiemeier, Caroline L Relton, Marinus H van IJzendoorn, Matthew Suderman

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Abstract

DNA methylation (DNAm) is known to play a pivotal role in childhood health and development, but a comprehensive characterization of genome-wide DNAm trajectories across this age period is currently lacking. We have therefore performed a series of epigenome-wide association studies in 5019 blood samples collected at multiple time-points from birth to late adolescence from 2348 participants of two large independent cohorts. DNAm profiles of autosomal CpG sites (CpGs) were generated using the Illumina Infinium HumanMethylation450 BeadChip. Change over time was widespread, observed at over one-half (53%) of CpGs. In most cases DNAm was decreasing (36% of CpGs). Inter-individual variation in linear trajectories was similarly widespread (27% of CpGs). Evidence for nonlinear change and inter-individual variation in nonlinear trajectories was somewhat less common (11% and 8% of CpGs, respectively). Very little inter-individual variation in change was explained by sex differences (0.4% of CpGs) even though sex-specific DNAm was observed at 5% of CpGs. DNAm trajectories were distributed non-randomly across the genome. For example, CpGs with decreasing DNAm were enriched in gene bodies and enhancers and were annotated to genes enriched in immune-developmental functions. By contrast, CpGs with increasing DNAm were enriched in promoter regions and annotated to genes enriched in neurodevelopmental functions. These findings depict a methylome undergoing widespread and often nonlinear change throughout childhood. They support a developmental role for DNA methylation that extends beyond birth into late adolescence and has implications for understanding life-long health and disease. DNAm trajectories can be visualized at http://epidelta.mrcieu.ac.uk.

Original languageEnglish
Article numberddaa280
JournalHuman Molecular Genetics
Early online date15 Jan 2021
DOIs
Publication statusE-pub ahead of print - 15 Jan 2021

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