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Integrative analysis of 111 reference human epigenomes

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TLDR
In this article, the authors describe the integrative analysis of 111 reference human epigenomes generated as part of the NIH Roadmap Epigenomics Consortium, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression.
Abstract
The reference human genome sequence set the stage for studies of genetic variation and its association with human disease, but epigenomic studies lack a similar reference. To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection so far of human epigenomes for primary cells and tissues. Here we describe the integrative analysis of 111 reference human epigenomes generated as part of the programme, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression. We establish global maps of regulatory elements, define regulatory modules of coordinated activity, and their likely activators and repressors. We show that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease. Our results demonstrate the central role of epigenomic information for understanding gene regulation, cellular differentiation and human disease.

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Citations
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H3K27me3-rich genomic regions can function as silencers to repress gene expression via chromatin interactions

TL;DR: H3K 27me3-rich regions of the genome defined from clusters of H3K27me3 peaks may be used to identify silencers that can regulate gene expression via proximity or looping and their mechanisms of functioning via looping are characterized.
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Basset: Learning the regulatory code of the accessible genome with deep convolutional neural networks.

TL;DR: An open source package Basset is introduced to apply CNNs to learn the functional activity of DNA sequences from genomics data and offers a powerful computational approach to annotate and interpret the noncoding genome.
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Natural genetic variation of the cardiac transcriptome in non-diseased donors and patients with dilated cardiomyopathy.

TL;DR: RNA transcription, splicing, and allele-specific expression are each important determinants of the dilated cardiomyopathy phenotype and are controlled by genetic factors, and systematic annotation of genome-wide association SNPs identifies 60 functional candidate genes for heart phenotypes.
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Discovery and refinement of genetic loci associated with cardiometabolic risk using dense imputation maps

Valentina Iotchkova, +82 more
- 01 Nov 2016 - 
TL;DR: Genotype imputation based on whole-genome sequence data from the UK10K and 1000 Genomes Project into 35,981 study participants of European ancestry is applied, followed by association analysis with 20 quantitative cardiometabolic and hematological traits, resulting in 17 new associations.
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A massively parallel reporter assay dissects the influence of chromatin structure on cis-regulatory activity.

TL;DR: This work presents a massively parallel reporter gene assay that measures the activities of hundreds of different CRSs, each integrated at many specific genomic locations, and explains the data with a quantitative model in which expression levels are set by independent contributions from local C RSs and the regional chromatin environment.
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