Evidence map›Paper›PMID 39870618›Full record

ArticleNature communications2025

Genetic coupling of enhancer activity and connectivity in gene expression control.

Helen Ray-Jones, Chak Kei Sung, Lai Ting Chan, Alexander Haglund, Pavel Artemov, Monica Della Rosa, Luminita Ruje, Frances Burden, Roman Kreuzhuber, Anna Litovskikh and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Review
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  5. Review
  6. bioRxiv : the preprint server for biology · 2025
    Article
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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

19 authors.

Helen Ray-JonesMRC Laboratory of Medical Sciences, London, UK. h.ray-jones@erasmusmc.nl.ORCID http://orcid.org/0000-0002-8884-6865
Chak Kei SungMRC Laboratory of Medical Sciences, London, UK.
Lai Ting ChanComputational Neurobiology, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium.ORCID http://orcid.org/0009-0008-2600-1710
Alexander HaglundDepartment of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-0404-0723
Pavel ArtemovMRC Laboratory of Medical Sciences, London, UK.
Monica Della RosaMRC Laboratory of Medical Sciences, London, UK.
Luminita RujeMRC Laboratory of Medical Sciences, London, UK.
Frances BurdenDepartment of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.
Roman KreuzhuberDepartment of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.ORCID http://orcid.org/0000-0002-0762-0806
Anna LitovskikhMRC Laboratory of Medical Sciences, London, UK.ORCID http://orcid.org/0000-0002-7017-1767
Eline WeyenberghComputational Neurobiology, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium.
Zoï BrusselaersComputational Neurobiology, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium.
Vanessa Xue Hui TanMRC Laboratory of Medical Sciences, London, UK.
Mattia FrontiniDepartment of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.ORCID http://orcid.org/0000-0001-8074-6299
Chris WallaceCambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-9755-1703
Valeriya Malysheva *MRC Laboratory of Medical Sciences, London, UK.
Leonardo Bottolo *MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK. lb664@cam.ac.uk.ORCID http://orcid.org/0000-0002-6381-2327
Elena Vigorito *MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-6230-3849
Mikhail SpivakovMRC Laboratory of Medical Sciences, London, UK. mikhail.spivakov@lms.mrc.ac.uk.ORCID http://orcid.org/0000-0002-0383-3943

Funding

British Heart Foundation (BHF) FS/18/53/33863British Heart Foundation (BHF) RE/18/1/34212RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/N510129/1RCUK | Medical Research Council (MRC) MC-A652-5QA20RCUK | Medical Research Council (MRC) MC_UU_00002/4RCUK | Medical Research Council (MRC) MR/W029790/1Wellcome TrustWellcome Trust (Wellcome) WT220788
6 · The paper itself

Abstract

Gene enhancers often form long-range contacts with promoters, but it remains unclear if the activity of enhancers and their chromosomal contacts are mediated by the same DNA sequences and recruited factors. Here, we study the effects of expression quantitative trait loci (eQTLs) on enhancer activity and promoter contacts in primary monocytes isolated from 34 male individuals. Using eQTL-Capture Hi-C and a Bayesian approach considering both intra- and inter-individual variation, we initially detect 19 eQTLs associated with enhancer-eGene promoter contacts, most of which also associate with enhancer accessibility and activity. Capitalising on these shared effects, we devise a multi-modality Bayesian strategy, identifying 629 "trimodal QTLs" jointly associated with enhancer accessibility, eGene promoter contact, and gene expression. Causal mediation analysis and CRISPR interference reveal causal relationships between these three modalities. Many detected QTLs overlap disease susceptibility loci and influence the predicted binding of myeloid transcription factors, including SPI1, GABPB and STAT3. Additionally, a variant associated with PCK2 promoter contact directly disrupts a CTCF binding motif and impacts promoter insulation from downstream enhancers. Jointly, our findings suggest an inherent genetic coupling of enhancer activity and connectivity in gene expression control relevant to human disease and highlight the regulatory role of genetically determined chromatin boundaries.

Indexed as

Enhancer Elements, GeneticGene Expression RegulationBase SequenceCCCTC-Binding FactorCells, CulturedChromatinCRISPR-Cas SystemsHumansMaleMonocytesPhosphoenolpyruvate Carboxykinase (ATP)Promoter Regions, GeneticProtein BindingQuantitative Trait LociTranscription FactorsCCCTC-Binding FactorChromatinPCK2 protein, humanPhosphoenolpyruvate Carboxykinase (ATP)Transcription Factors

Identifiers

PMID39870618
PMCPMC11772589

What OpenQuestion holds

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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.