Evidence map›Paper›PMID 37979960›Full record

ArticleAnnals of the rheumatic diseases2024

Expression quantitative trait loci analysis in rheumatoid arthritis identifies tissue specific variants associated with severity and outcome.

Katriona Goldmann, Athina Spiliopoulou, Andrii Iakovliev, Darren Plant, Nisha Nair, Cankut Cubuk, MATURA Consortium, Paul McKeigue, Michael R Barnes, Anne Barton and 2 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.3field-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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Katriona GoldmannCentre for Experimental Medicine & Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK.
Athina SpiliopoulouCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-5929-6585
Andrii IakovlievCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, UK.
Darren PlantCentre for Genetics and Genomics Versus Arthritis, University of Manchester Centre for Musculoskeletal Research, Manchester, UK.ORCID http://orcid.org/0000-0003-1395-9344
Nisha NairCentre for Genetics and Genomics Versus Arthritis, University of Manchester Centre for Musculoskeletal Research, Manchester, UK.
Cankut CubukCentre for Experimental Medicine & Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK.
MATURA Consortium
Paul McKeigueCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-5217-1034
Michael R BarnesCentre for Translational Bioinformatics, William Harvey Research Institute, Queen Mary University of London, London, UK.
Anne BartonCentre for Genetics and Genomics Versus Arthritis, University of Manchester Centre for Musculoskeletal Research, Manchester, UK.ORCID http://orcid.org/0000-0003-3316-2527
Costantino PitzalisCentre for Experimental Medicine & Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0003-1326-5051
Myles J LewisCentre for Experimental Medicine & Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK myles.lewis@qmul.ac.uk.ORCID http://orcid.org/0000-0001-9365-5345
Queen Mary University of London · GBUniversity of Edinburgh · GBUniversity of Manchester · GB

Funding

Medical Research Council G0800648Medical Research Council MR/K015346/1Medical Research Council MR/R013926/1Medical Research Council MR/V012509/1
6 · The paper itself

Abstract

objectiveGenome-wide association studies have successfully identified more than 100 loci associated with susceptibility to rheumatoid arthritis (RA). However, our understanding of the functional effects of genetic variants in causing RA and their effects on disease severity and response to treatment remains limited.

methodsIn this study, we conducted expression quantitative trait locus (eQTL) analysis to dissect the link between genetic variants and gene expression comparing the disease tissue against blood using RNA-Sequencing of synovial biopsies (n=85) and blood samples (n=51) from treatment-naïve patients with RA from the Pathobiology of Early Arthritis Cohort.

resultsThis identified 898 eQTL genes in synovium and genes loci in blood, with 232 genes in common to both synovium and blood, although notably many eQTL were tissue specific. Examining the HLA region, we uncovered a specific eQTL at

conclusionsThis analysis highlights the need to explore functional consequences of genetic associations in disease tissue.

Indexed as

Arthritis, RheumatoidQuantitative Trait LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansPolymorphism, Single NucleotideArthritis, RheumatoidMethotrexatePharmacogeneticsPolymorphism, GeneticSynovitis

Identifiers

PMID37979960
PMCPMC10894812
OpenAlexW4388792937

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.