Genome ResearchGenomicsPeer-reviewed journal article
Variation in histone configurations correlates with gene expression across nine inbred strains of mice
Anna L. TyleriD, Catrina A. SpruceiD, Romy KursaweiD, Annat HaberiD, Robyn L. BalliD, Wendy A. Pitman, Alexander D. FineiD, Narayanan RaghupathyiD, Michael Walker, Vivek M. PhilipiD, Christopher L. BakeriD, J. Matthew MahoneyiD, Gary A. ChurchilliD, Jennifer J. TrowbridgeiD, Michael L. StitzeliD, Kenneth PaigeniD, Petko M. PetkoviD, Gregory W. CarteriD
Abstract
It is well established that epigenetic features, such as histone modifications and DNA methylation, are associated with variation in gene expression across cell types. Less well known is the extent to which epigenetic states vary across genetically diverse individuals, and whether such variation corresponds to inter-individual variation in gene expression. To investigate genetically driven variation in epigenetics, we conducted a survey of epigenetic modifications and gene expression in hepatocytes of nine inbred mouse strains. We surveyed four histone modifications (H3K4me1, H3K4me3, H3K27me3, and H3K27ac), and DNA methylation. We used ChromHMM to identify 14 chromatin states, each of which represented a distinct combination of the four histone modifications. We found that chromatin states varied widely across the nine strains and that epigenetic state was strongly correlated with local gene expression. We replicated this correspondence between chromatin state and gene expression in an independent population of Diversity Outbred mice in which we imputed local chromatin state. In contrast, we found that DNA methylation did not vary across the inbred strains and was not correlated with variation in gene expression in DO mice. This work suggests that chromatin state is highly influenced by local genotype and may be a primary mode through which expression quantitative trait loci (eQTLs) are mediated. Through examples, we demonstrate that naturally occurring chromatin state variation, in conjunction with gene expression, can aid in functional annotation of the mouse genome. Finally, we provide a data resource that documents variation in chromatin state in hepatocytes across genetically distinct mice.
- organism: mouse
- assay: ChIP-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: database / resource
- approach: statistical model
- Citations
- 3
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