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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2022
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2022
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2022
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2022
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Comprehensive epigenomic profiling reveals disease-specific chromatin states and enhances therapeutic target discovery in ankylosing spondylitis

Authors: Brown, Andrew; Cohen, Carla; Mielczarek, Olga; Migliorini, Gabriele; Costantino, Felicie; Allcock, Alice; Davidson, Connor; +17 Authors

Comprehensive epigenomic profiling reveals disease-specific chromatin states and enhances therapeutic target discovery in ankylosing spondylitis

Abstract

We performed comprehensive epigenetic profiling in immune cell samples from patients with ankylosing spondylitis and healthy controls. We used ChromHMM to integrate epigenomic data. ChromHMM filenames are in the format ChromHMM_sampleID_celltype_n.bed.gz where n is the number of states in the ChromHMM emission model. We performed Capture-C to detect chromosome looping interactions between gene promoters and SNPs associated with ankylosing spondylitis. Capture-C count data are shown in the format: CaptureC_celltype_gene_Pro/SNP_normalised.unionbdg We used PeakY to calculate a score for each interaction. PeakY scores are given in the following format: PeakY_AS/HV_celltype_tier_chrloc_gene_Pro/SNP.txt gene_Pro and gene_SNP relate to the baitsets given in Table S8.

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Keywords

Epigenomics, Target Discovery, Spondyloarthritis, Genomics, Transcriptomics, Chromatin interactions, Ankylosing spondylitis, Gene regulation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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