Evidence map›Paper›PMID 32879318›Full record

ArticleNature communications2020

Analysis of chromatin organization and gene expression in T cells identifies functional genes for rheumatoid arthritis.

Jing Yang, Amanda McGovern, Paul Martin, Kate Duffus, Xiangyu Ge, Peyman Zarrineh, Andrew P Morris, Antony Adamson, Peter Fraser, Magnus Rattray and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 5% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. Association betweenAging · 2021
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Variant-to-gene mapping identifiesbioRxiv : the preprint server for biology · 2026
    Article
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  7. Article
  8. Article
  9. Article
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  17. Single cell variant to enhancer to gene map for coronary artery disease.medRxiv : the preprint server for health sciences · 2024
    Article
  18. Article
  19. Review
  20. Article
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

11 authors at 3 institutions in 2 countries.

Jing Yang *Division of Informatics, Imaging & Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, UK.
Amanda McGovern *Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.ORCID http://orcid.org/0000-0001-7727-3283
Paul MartinCentre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.ORCID http://orcid.org/0000-0002-1016-6851
Kate DuffusCentre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.
Xiangyu GeCentre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.
Peyman ZarrinehDivision of Informatics, Imaging & Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, UK.
Andrew P MorrisCentre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.
Antony AdamsonThe Genome Editing Unit, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, UK.ORCID http://orcid.org/0000-0002-5408-0013
Peter FraserDepartment of Biological Science, Florida State University, Tallahassee, FL, 32306, USA.ORCID http://orcid.org/0000-0002-0041-1227
Magnus RattrayDivision of Informatics, Imaging & Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, UK. magnus.rattray@manchester.ac.uk.ORCID http://orcid.org/0000-0001-8196-5565
Stephen EyreCentre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK. steve.eyre@manchester.ac.uk.ORCID http://orcid.org/0000-0002-1251-6974
Manchester Academic Health Science Centre · GBUniversity of Manchester · GBFlorida State University · US

Funding

Medical Research Council MR/N00017X/1Versus Arthritis 21146Versus Arthritis 21745Versus Arthritis 21754
6 · The paper itself

Abstract

Genome-wide association studies have identified genetic variation contributing to complex disease risk. However, assigning causal genes and mechanisms has been more challenging because disease-associated variants are often found in distal regulatory regions with cell-type specific behaviours. Here, we collect ATAC-seq, Hi-C, Capture Hi-C and nuclear RNA-seq data in stimulated CD4+ T cells over 24 h, to identify functional enhancers regulating gene expression. We characterise changes in DNA interaction and activity dynamics that correlate with changes in gene expression, and find that the strongest correlations are observed within 200 kb of promoters. Using rheumatoid arthritis as an example of T cell mediated disease, we demonstrate interactions of expression quantitative trait loci with target genes, and confirm assigned genes or show complex interactions for 20% of disease associated loci, including FOXO1, which we confirm using CRISPR/Cas9.

Indexed as

ChromatinArthritis, RheumatoidAutoimmune DiseasesCD4-Positive T-LymphocytesEnhancer Elements, GeneticForkhead Box Protein O1Gene ExpressionGenetic Predisposition to DiseaseGenome-Wide Association StudyHEK293 CellsHumansPrimary Cell CulturePromoter Regions, GeneticQuantitative Trait LociChromatinForkhead Box Protein O1

Identifiers

PMID32879318
PMCPMC7468106
OpenAlexW3082153767

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.