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Epigenome-wide contributions to individual differences in childhood phenotypes: A GREML approach

Neumann, A; Pingault, J-B; Felix, J; Jaddoe, V; Tiemeier, H; Cecil, C; Walton, E; (2021) Epigenome-wide contributions to individual differences in childhood phenotypes: A GREML approach. Cold Spring Harbor Green open access

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Abstract

Background: DNA methylation is an epigenetic mechanism involved in human development. Numerous epigenome-wide association studies (EWAS) have investigated the associations of DNA methylation at single CpG sites with childhood outcomes. However, the overall contribution of DNA methylation across the genome (R2Methylation) towards childhood phenotypes is unknown. An estimate of R2Methylation would provide context regarding the importance of DNA methylation explaining variance in health outcomes. // Methods: We estimated the variance explained by epigenome-wide cord blood methylation (R2Methylation) for five childhood phenotypes: gestational age, birth weight, and body mass index (BMI), IQ and ADHD symptoms at school age. We adapted a genome-based restricted maximum likelihood (GREML) approach with cross-validation (CV) to DNA methylation data and applied it in two population-based birth cohorts: ALSPAC (n=775) and Generation R (n=1382). // Results: Using information from >470,000 autosomal probes we estimated that DNA methylation at birth explains 45% (SDCV = 0.07) of gestational age variance and 16% (SDCV = 0.05) of birth weight variance. The R2Methylation estimates for BMI, IQ and ADHD symptoms at school age estimates were near 0% across almost all cross-validation iterations. // Conclusions: The results suggest that cord blood methylation explains a moderate to large degree of variance in gestational age and birth weight, in line with the success of previous EWAS in identifying numerous CpG sites associated with these phenotypes. In contrast, we could not obtain a reliable estimate for school-age BMI, IQ and ADHD symptoms. This may reflect a null bias due to insufficient sample size to detect variance explained in more weakly associated phenotypes, although the true R2Methylation for these phenotypes is likely below that of gestational age and birth weight when using DNA methylation at birth.

Type: Working / discussion paper
Title: Epigenome-wide contributions to individual differences in childhood phenotypes: A GREML approach
Open access status: An open access version is available from UCL Discovery
DOI: 10.1101/2021.06.24.21259449
Publisher version: https://doi.org/10.1101/2021.06.24.21259449
Language: English
Additional information: The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Clinical, Edu and Hlth Psychology
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10130770
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