EpigeneticsGenomicsPeer-reviewed journal article
Longitudinal data reveal strong genetic and weak non-genetic components of ethnicity-dependent blood DNA methylation levels
Chris G. McKennaniD, Katherine A. NaughtoniD, Catherine T. StanhopeiD, Meyer KattaniD, George T. O’ConnoriD, Megan T. SandeliD, Cynthia M. VisnessiD, Robert A. WoodiD, Leonard B. BacharieriD, Avraham Beigelman, Stephanie Lovinsky‐DesiriD, Alkis G. TogiasiD, James E. GerniD, Dan L. NicolaeiD, Carole OberiD
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 not only indicate that race-associated DNAm patterns in blood are present at birth and are primarily genetically, and not environmentally, determined, but also that DNAm in blood cells overall is robust to many environmental exposures during the first 7 years of life.
- organism: human
- assay: DNA methylation
- research focus: differential expression
- approach: Bayesian inference
- Citations
- 24
- FWCI
- 1.46
- Field percentile
- top 18%
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