Interactive effects of genotype with prenatal stress on DNA methylation at birth
Mulder, R. H.; Baltramonaityte, V.; Defina, S.; Trajanoska, K.; Suderman, M.; Schwarz, E.; Boks, M.; Walton, E.; Cecil, C. A. M.; Felix, J.
Show abstract
Intrauterine stress exposure is associated with offspring health. DNA methylation (DNAm) is as a putative underlying mechanism, but large population-based studies reported limited associations between prenatal stress and DNAm. Recent research has shown that environmental factors in interaction with genetic variants are better predictors of DNAm than environment or genotype alone. We investigated whether interactions of maternal prenatal stress with genetic variants are associated with DNAm at birth. We examined 2,963 mother-child pairs from the population-based Generation R Study and Avon Longitudinal Study of Parents and Children, using a harmonized, comprehensive cumulative prenatal stress measure. We tested genome-wide genotype-by-prenatal stress interactions on epigenome-wide DNAm (GxEmodel), and models including only genetic variants (Gmodel) or prenatal stress (Emodel) as predictors. Follow-up analyses included Gene Ontology analyses and mediation analyses of prenatal alcohol intake, smoking, gestational age, and birth weight. We report two independent gene-by-prenatal-stress interactions on DNAm after multiple testing correction, including five genetic variants in CHD2 and ORC5, and two DNAm sites in EPPK1. By comparison, the Gmodel showed 691,202 associations and the Emodel showed three associations in genes AHRR, GFI1, and MYO1G, which could largely explained by prenatal smoking. Genes linked to suggestive GxEmodel results were often involved in neuronal development. Our results provide some support of interaction of prenatal stress with the childs genome on DNAm of genes related to neuronal development. These results do not confirm the notion that gene-by-environment interaction models show more associations with DNAm compared to genes or the environment studied in isolation.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The association of DNA methylation with body mass index: distinguishing between predictors and biomarkers 94%
- Associations between indicators of socioeconomic position and DNA methylation: A systematic review 94%
- DNA methylation links prenatal smoking exposure to later life health outcomes in offspring. 94%
Similar papers in this journal
- Updates to data versions and analytic methods influence the reproducibility of results from epigenome-wide association studies 97%
- Pruning and thresholding approach for methylation risk scores in multi-ancestry populations 95%
- Polymethylation Scores for Prenatal Maternal Smoke Exposure Persist Until Age 15 and Are Detected in Saliva in the Fragile Families and Child Wellbeing Cohort 95%
Similar papers in this journal
- Meta-analysis of epigenome-wide associations between DNA methylation at birth and childhood cognitive skills. 96%
- DNA methylation and general psychopathology in childhood: An epigenome-wide meta-analysis from the PACE consortium 95%
- Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium 94%
Similar papers in this journal
- Expression quantitative trait methylation analysis elucidates gene regulatory effects of DNA methylation: The Framingham Heart Study 95%
- Large-scale placenta DNA methylation mega-analysis reveals fetal sex-specific differentially methylated CpG sites and regions 95%
- Mendelian randomization study of spermine oxidase and cancer risk 94%
Similar papers in this journal
- DNA Methylation as a Potential Mediator of the Association Between Prenatal Tobacco and Alcohol Exposure and Child Neurodevelopment in a South African Birth Cohort 97%
- Genomic Influences on Self-Reported Childhood Maltreatment 95%
- The DNA methylation landscape of the human oxytocin receptor gene (OXTR): Recommendations for future research 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.