Non-linear patterns in age-related DNA methylation may reflect CD4+ T cell differentiation

Academic Article

Abstract

  • © 2017 Taylor & Francis Group, LLC. DNA methylation (DNAm) is an important epigenetic process involved in the regulation of gene expression. While many studies have identified thousands of loci associated with age, few have differentiated between linear and non-linear DNAm trends with age. Non-linear trends could indicate early- or late-life gene regulatory processes. Using data from the Illumina 450K array on 336 human peripheral blood samples, we identified 21 CpG sites that associated with age (P<1.03E-7) and exhibited changing rates of DNAm change with age (P<1.94E-6). For 2 of these CpG sites (cg07955995 and cg22285878), DNAm increased with age at an increasing rate, indicating that differential DNAm was greatest among elderly individuals. We observed significant replication for both CpG sites (P<5.0E-8) in a second set of peripheral blood samples. In 8 of 9 additional data sets comprising samples of monocytes, T cell subtypes, and brain tissue, we observed a pattern directionally consistent with DNAm increasing with age at an increasing rate, which was nominally significant in the 3 largest data sets (4.3E-15
  • Published In

  • Epigenetics  Journal
  • Digital Object Identifier (doi)

    Author List

  • Johnson ND; Wiener HW; Smith AK; Nishitani S; Absher DM; Arnett DK; Aslibekyan S; Conneely KN
  • Start Page

  • 492
  • End Page

  • 503
  • Volume

  • 12
  • Issue

  • 6