Evidence map›Paper›PMID 27863249›Full record

ArticleCell2016

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

Biola M Javierre, Oliver S Burren, Steven P Wilder, Roman Kreuzhuber, Steven M Hill, Sven Sewitz, Jonathan Cairns, Steven W Wingett, Csilla Várnai, Michiel J Thiecke and 19 more

Abstract read
In one paragraph

Article in Cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 661 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
661citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

661 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Ancient DNA and Human Physiology.Physiology (Bethesda, Md.) · 2026
    Review
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601 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Biola M JavierreNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Oliver S BurrenJDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 0XY, UK.
Steven P WilderEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge CB10 1SD, UK.
Roman KreuzhuberEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge CB10 1SD, UK; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK; National Health Service Blood and Transplant, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK.
Steven M HillMRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge Biomedical Campus, Cambridge CB2 0SR, UK.
Sven SewitzNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Jonathan CairnsNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Steven W WingettNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Csilla VárnaiNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Michiel J ThieckeNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Frances BurdenDepartment of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK; National Health Service Blood and Transplant, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK.
Samantha FarrowDepartment of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK; National Health Service Blood and Transplant, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK.
Antony J CutlerJDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 0XY, UK.
Karola RehnströmDepartment of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK; National Health Service Blood and Transplant, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK.
Kate DownesDepartment of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK; National Health Service Blood and Transplant, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK.
Luigi GrassiDepartment of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK; National Health Service Blood and Transplant, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK.
Myrto KostadimaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge CB10 1SD, UK; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK; National Health Service Blood and Transplant, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK.
Paula Freire-PritchettNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Fan WangMRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge Biomedical Campus, Cambridge CB2 0SR, UK.
BLUEPRINT Consortium
Hendrik G StunnenbergDepartment of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University Nijmegen, Geert Grooteplein Zuid 30, 6525 GA Nijmegen, the Netherlands.
John A ToddJDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 0XY, UK.
Daniel R ZerbinoEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge CB10 1SD, UK.
Oliver StegleEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge CB10 1SD, UK.
Willem H OuwehandDepartment of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK; National Health Service Blood and Transplant, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK; Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1HH, UK.
Mattia FrontiniDepartment of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK; National Health Service Blood and Transplant, Cambridge Biomedical Campus, Long Road, Cambridge CB2 0PT, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK. Electronic address: mf471@cam.ac.uk.
Chris WallaceJDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 0XY, UK; MRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge Biomedical Campus, Cambridge CB2 0SR, UK; Department of Medicine, University of Cambridge, Addenbrooke's Hospital, Cambridge CB2 0SP, UK. Electronic address: cew54@medschl.cam.ac.uk.
Mikhail SpivakovNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK. Electronic address: mikhail.spivakov@babraham.ac.uk.
Peter FraserNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK. Electronic address: peter.fraser@babraham.ac.uk.

Funding

British Heart Foundation RG/09/012/28096Department of Health RP-PG-0310-1002Medical Research Council MC_UP_1302/1Medical Research Council MC_UP_1302/3Medical Research Council MC_UP_1302/5Medical Research Council MC_UU_00002/4Medical Research Council MR/L007150/1Wellcome Trust
6 · The paper itself

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.

Indexed as

Promoter Regions, GeneticBlood CellsCell LineageCell SeparationChromatinDiseaseEnhancer Elements, GeneticEpigenomicsGenetic Predisposition to DiseaseGenome-Wide Association StudyHematopoiesisHumansPolymorphism, Single NucleotideQuantitative Trait LociChromatinchromosome conformationdisease gene prioritizationgene regulationnon-coding genetic variationpromoter capture Hi-C

Identifiers

PMID27863249
PMCPMC5123897

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.