Evidence map›Paper›PMID 38479789›Full record

ArticleAnnals of the rheumatic diseases2024

Primary osteoarthritis chondrocyte map of chromatin conformation reveals novel candidate effector genes.

Norbert Bittner, Chenfu Shi, Danyun Zhao, James Ding, Lorraine Southam, Diane Swift, Peter Kreitmaier, Mauro Tutino, Odysseas Stergiou, Jackson T S Cheung and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Annals of the rheumatic diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
15.0field-weighted citation impact, top 1% of its field
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

23 citing papers in PubMed, 32 citations in OpenAlex.

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  5. Mechanoepigenetics in musculoskeletal disease.Osteoarthritis and cartilage · 2026
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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

15 authors at 6 institutions in 2 countries.

Norbert BittnerInstitute of Translational Genomics, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-8588-185X
Chenfu ShiCentre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Danyun ZhaoCentre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
James DingCentre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Lorraine SouthamInstitute of Translational Genomics, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany.
Diane SwiftDepartment of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.
Peter KreitmaierInstitute of Translational Genomics, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany.
Mauro TutinoInstitute of Translational Genomics, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany.
Odysseas StergiouInstitute of Translational Genomics, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany.
Jackson T S CheungUCL Faculty of Medical Sciences, London, UK.
Georgia KatsoulaInstitute of Translational Genomics, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany.
Jenny HankinsonInstitute of Translational Genomics, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany.
Jeremy Mark WilkinsonDepartment of Oncology and Metabolism, University of Sheffield, Sheffield, UK.
Gisela OrozcoCentre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK eleftheria.zeggini@helmholtz-munich.de gisela.orozco@manchester.ac.uk.
Eleftheria ZegginiInstitute of Translational Genomics, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany eleftheria.zeggini@helmholtz-munich.de gisela.orozco@manchester.ac.uk.ORCID http://orcid.org/0000-0003-4238-659X
Helmholtz Zentrum München · DETUM Klinikum · DEUniversity of Manchester · GBUniversity of Sheffield · GBFaculty (United Kingdom) · GBManchester Academic Health Science Centre · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectivesOsteoarthritis is a complex disease with a huge public health burden. Genome-wide association studies (GWAS) have identified hundreds of osteoarthritis-associated sequence variants, but the effector genes underpinning these signals remain largely elusive. Understanding chromosome organisation in three-dimensional (3D) space is essential for identifying long-range contacts between distant genomic features (e.g., between genes and regulatory elements), in a tissue-specific manner. Here, we generate the first whole genome chromosome conformation analysis (Hi-C) map of primary osteoarthritis chondrocytes and identify novel candidate effector genes for the disease.

methodsPrimary chondrocytes collected from 8 patients with knee osteoarthritis underwent Hi-C analysis to link chromosomal structure to genomic sequence. The identified loops were then combined with osteoarthritis GWAS results and epigenomic data from primary knee osteoarthritis chondrocytes to identify variants involved in gene regulation via enhancer-promoter interactions.

resultsWe identified 345 genetic variants residing within chromatin loop anchors that are associated with 77 osteoarthritis GWAS signals. Ten of these variants reside directly in enhancer regions of 10 newly described active enhancer-promoter loops, identified with multiomics analysis of publicly available chromatin immunoprecipitation sequencing (ChIP-seq) and assay for transposase-accessible chromatin using sequencing (ATAC-seq) data from primary knee chondrocyte cells, pointing to two new candidate effector genes

conclusionsWe have constructed the first Hi-C map of primary human chondrocytes and have made it available as a resource for the scientific community. By integrating 3D genomics with large-scale genetic association and epigenetic data, we identify novel candidate effector genes for osteoarthritis, which enhance our understanding of disease and can serve as putative high-value novel drug targets.

Indexed as

ChondrocytesChromatinGenome-Wide Association StudyOsteoarthritis, KneeAgedEnhancer Elements, GeneticFemaleHumansInsulin-Like Growth Factor IMaleMiddle AgedPromoter Regions, GeneticChromatinInsulin-Like Growth Factor Ichondrocytesosteoarthritisosteoarthritis, kneepharmacogenetics

Identifiers

PMID38479789
PMCPMC11287644
OpenAlexW4392762619

What OpenQuestion holds

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LicenceCC BY
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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.