Lineage-Specific Genome Architecture Links Enhancers and Non-coding Disease Variants to Target Gene Promoters

Biola M. Javierre(Babraham Institute), Oliver S. Burren(University of Cambridge), Steven P. Wilder(European Bioinformatics Institute), Roman Kreuzhuber(National Health Service), Steven M. Hill(MRC Biostatistics Unit), Sven Sewitz(Babraham Institute), Jonathan Cairns(Babraham Institute), Steven Wingett(Babraham Institute), Csilla Várnai(Babraham Institute), Michiel J. Thiecke(Babraham Institute), Frances Burden(National Health Service), Samantha Farrow(National Health Service), Antony J. Cutler(University of Cambridge), Karola Rehnström(National Health Service), Kate Downes(National Health Service), Luigi Grassi(National Health Service), Myrto Kostadima(National Health Service), Paula Freire-Pritchett(Babraham Institute), Fan Wang(MRC Biostatistics Unit), Hendrik G. Stunnenberg(Radboud University Nijmegen), John A. Todd(University of Cambridge), Daniel R. Zerbino(European Bioinformatics Institute), Oliver Stegle(European Bioinformatics Institute), Willem H. Ouwehand(National Health Service), Mattia Frontini(National Health Service), Chris Wallace(University of Cambridge), Mikhail Spivakov(Babraham Institute), Peter Fraser(Babraham Institute), Joost H.A. Martens, Bowon Kim, Nilofar Sharifi(Radboud University Nijmegen), Eva M. Janssen‐Megens(University of Cambridge), Marie‐Laure Yaspo(European Bioinformatics Institute), Matthias Linser(European Bioinformatics Institute), Alexander Kovacsovics(Cambridge University Hospitals NHS Foundation Trust), Laura Clarke(University of Cambridge), David Richardson(Wellcome/MRC Cambridge Stem Cell Institute), Avik Datta(Babraham Institute), Paul Flicek(Babraham Institute)
Cell
November 1, 2016
Cited by 1,165Open Access
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Abstract

Long-range interactions between regulatory elements and gene promoters play key roles in transcriptional regulation. The vast majority of interactions are uncharted, constituting a major missing link in understanding genome control. Here, we use promoter capture Hi-C to identify interacting regions of 31,253 promoters in 17 human primary hematopoietic cell types. We show that promoter interactions are highly cell type specific and enriched for links between active promoters and epigenetically marked enhancers. Promoter interactomes reflect lineage relationships of the hematopoietic tree, consistent with dynamic remodeling of nuclear architecture during differentiation. Interacting regions are enriched in genetic variants linked with altered expression of genes they contact, highlighting their functional role. We exploit this rich resource to connect non-coding disease variants to putative target promoters, prioritizing thousands of disease-candidate genes and implicating disease pathways. Our results demonstrate the power of primary cell promoter interactomes to reveal insights into genomic regulatory mechanisms underlying common diseases.


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