Clinical EpigeneticsGeneticsPeer-reviewed journal article
The inactive X chromosome accumulates widespread epigenetic variability with age
Yunfeng LiuiD, Lucy SinkeiD, Thomas H. JonkmaniD, Roderick C. SliekeriD, Erik W. van ZwetiD, Lucia DaxingeriD, Bastiaan T. HeijmansiD
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- 22
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Abstract
BackgroundLoss of epigenetic control is a hallmark of aging. Among the most prominent roles of epigenetic mechanisms is the inactivation of one of two copies of the X chromosome in females through DNA methylation. Hence, age-related disruption of X-chromosome inactivation (XCI) may contribute to the ageing process in women. MethodsWe analyzed 9,777 CpGs on the X chromosome in whole blood samples from 2343 females and 1688 males. We replicated findings in duplicate using one whole blood and one purified monocyte data set (in total, 991/924 females/males). We used double generalized linear models (DGLM) to detect age-related differentially methylated CpGs (aDMCs), whose mean methylation level differs with age, and age-related variable methylated CpGs (aVMCs), whose methylation level becomes more variable with age. ResultsIn females, aDMCs were relatively uncommon (n=33) and preferentially occurred in regions known to escape XCI. In contrast, many CpGs (n=987) were found to display an increased variance with age (aVMCs). Of note, the replication rate of aVMCs was also high in purified monocytes (95%), indicating that their occurrence may be independent of cell composition. aVMCs accumulated in CpG islands and regions subject to XCI. Although few aVMCs were associated with X-linked genes in all females studied, an exploratory analysis suggested that such associations may be more common in old females. In males, aDMCs (n=316) were primarily driven by cell composition, while aVMCs replicated well (94%) but were infrequent (n=37). ConclusionsAge-related DNA methylation differences at the inactive X chromosome are dominated by the accumulation of variability.
- organism: human
- assay: DNA methylation
- research focus: differential expression
- approach: statistical model
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