Genome biology · 2013 · 196 citations · 75 references
Life SciencesBiologyGeneticsEpigeneticsGenomicsHuman GeneticsDevelopmental EpigeneticsDevelopmental EpigenomicsDna Methylation ProfilingEpigenetic Regulation In DevelopmentTwin StudiesAge-associated Dna Methylation ChangesAge-related Epigenetic DriftCpg Island PromotersDevelopmental Epigenetic DynamicsEpigenetic DriftLongitudinal Epigenetic ChangeLongitudinal Methylation DynamicsLongitudinal Twin Studies
BACKGROUND: The extent to which development- and age-associated epigenetic changes are influenced by genetic, environmental and stochastic factors remains to be discovered. Twins provide an ideal model with which to investigate these influences but previous cross-sectional twin studies provide contradictory evidence of within-pair epigenetic drift over time. Longitudinal twin studies can potentially address this discrepancy. RESULTS: In a pilot, genome-scale study of DNA from buccal epithelium, a relatively homogeneous tissue, we show that one-third of the CpGs assayed show dynamic methylation between birth and 18 months. Although all classes of annotated genomic regions assessed show an increase in DNA methylation over time, probes located in intragenic regions, enhancers and low-density CpG promoters are significantly over-represented, while CpG islands and high-CpG density promoters are depleted among the most dynamic probes. Comparison of co-twins demonstrated that within-pair drift in DNA methylation in our cohort is specific to a subset of pairs, who show more differences at 18 months. The rest of the pairs show either minimal change in methylation discordance, or more similar, converging methylation profiles at 18 months. As with age-associated regions, sites that change in their level of within-pair discordance between birth and 18 months are enriched in genes involved in development, but the average magnitude of change is smaller than for longitudinal change. CONCLUSIONS: Our findings suggest that DNA methylation in buccal epithelium is influenced by non-shared stochastic and environmental factors that could reflect a degree of epigenetic plasticity within an otherwise constrained developmental program.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
GREAT improves functional interpretation of cis-regulatory regions
Cory Y. McLean, Dave Bristor, Michael Hiller et al. · Nature Biotechnology · 2010 · 5K citations