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Abstract:
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Functional genomics have provided epigenomic profiles on many distinct cell types, typically cell lines. For this reason, we have limited understanding of the functional impact of biological variation in many epigenomic marks, specifically histone modifications. Using recently generated publicly available data we have addressed this question for a set of common modifications. We find that epigenomic variation is associated with functional variation for some, but not all, loci. We investigate the use of multiple null distributions and show that even control experiments can be significantly associated with gene expression. Finally, we use ATAC sequencing and DNA methylation to understand epigenomic variation in the human brain.
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