2021
DOI: 10.1016/j.jid.2021.01.015
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Chromatin Looping Links Target Genes with Genetic Risk Loci for Dermatological Traits

Abstract: Chromatin looping between regulatory elements and gene promoters presents a potential mechanism whereby disease risk variants affect their target genes. In this study, we use H3K27ac HiChIP, a method for assaying the active chromatin interactome in two cell lines: keratinocytes and skin lymphomaederived CD8þ T cells. We integrate public datasets for a lymphoblastoid cell line and primary CD4þ T cells and identify gene targets at risk loci for skin-related disorders. Interacting genes enrich for pathways of kno… Show more

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Cited by 29 publications
(33 citation statements)
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References 77 publications
(108 reference statements)
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“…Recent studies have addressed this problem with chromatin conformation capture methods that define which promoters SNP-affected enhancers contact. In their new article in the Journal of Investigative of Dermatology, Shi et al (2021) have added to this body of literature with a chromatin conformation capture approach in keratinocyte (KC) and lymphocyte cell lines, two cell types relevant for common skin diseases, thus refining our understanding of skin disease mechanisms, including those in psoriasis.…”
Section: See Related Article On Pg 1975mentioning
confidence: 99%
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“…Recent studies have addressed this problem with chromatin conformation capture methods that define which promoters SNP-affected enhancers contact. In their new article in the Journal of Investigative of Dermatology, Shi et al (2021) have added to this body of literature with a chromatin conformation capture approach in keratinocyte (KC) and lymphocyte cell lines, two cell types relevant for common skin diseases, thus refining our understanding of skin disease mechanisms, including those in psoriasis.…”
Section: See Related Article On Pg 1975mentioning
confidence: 99%
“…This approach identifies all enhancer-promoter interactions in a given cell type, and by overlapping these data with SNPs identified in GWASs, one can potentially predict the genes whose expression is altered by the SNP (Figure 1a). This was the approach used by Shi et al (2021).…”
Section: Linking Disease Snps To Gene Expressionmentioning
confidence: 99%
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