| Literature DB >> 32997571 |
Chris McKennan1, Katherine Naughton2, Catherine Stanhope2, Meyer Kattan3, George T O'Connor4, Megan T Sandel4, Cynthia M Visness5, Robert A Wood6, Leonard B Bacharier7, Avraham Beigelman7, Stephanie Lovinsky-Desir3, Alkis Togias8, James E Gern9, Dan Nicolae2,10, Carole Ober2.
Abstract
Epigenetic architecture is influenced by genetic and environmental factors, but little is known about their relative contributions or longitudinal dynamics. Here, we studied DNA methylation (DNAm) at over 750,000 CpG sites in mononuclear blood cells collected at birth and age 7 from 196 children of primarily self-reported Black and Hispanic ethnicities to study race-associated DNAm patterns. We developed a novel Bayesian method for high-dimensional longitudinal data and showed that race-associated DNAm patterns at birth and age 7 are nearly identical. Additionally, we estimated that up to 51% of all self-reported race-associated CpGs had race-dependent DNAm levels that were mediated through local genotype and, quite surprisingly, found that genetic factors explained an overwhelming majority of the variation in DNAm levels at other, previously identified, environmentally-associated CpGs. These results indicate that race-associated blood DNAm patterns in particular, and blood DNAm levels in general, are primarily driven by genetic factors, and are not as sensitive to environmental exposures as previously suggested, at least during the first 7 years of life.Entities:
Keywords: Bayesian; DNA methylation; gene vs. environment; longitudinal epigenetics; race/ethnicity
Mesh:
Year: 2020 PMID: 32997571 PMCID: PMC8143220 DOI: 10.1080/15592294.2020.1817290
Source DB: PubMed Journal: Epigenetics ISSN: 1559-2294 Impact factor: 4.528