An evolutionary framework for measuring epigenomic information and estimating cell-type-specific fitness consequences.

Abstract:

:Here we ask the question "How much information do epigenomic datasets provide about human genomic function?" We consider nine epigenomic features across 115 cell types and measure information about function as a reduction in entropy under a probabilistic evolutionary model fitted to human and nonhuman primate genomes. Several epigenomic features yield more information in combination than they do individually. We find that the entropy in human genetic variation predominantly reflects a balance between mutation and neutral drift. Our cell-type-specific FitCons scores reveal relationships among cell types and suggest that around 8% of nucleotide sites are constrained by natural selection.

journal_name

Nat Genet

journal_title

Nature genetics

authors

Gulko B,Siepel A

doi

10.1038/s41588-018-0300-z

subject

Has Abstract

pub_date

2019-02-01 00:00:00

pages

335-342

issue

2

eissn

1061-4036

issn

1546-1718

pii

10.1038/s41588-018-0300-z

journal_volume

51

pub_type

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