Evidence map›Paper›PMID 26895230›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2016

Replication of Associations of Genetic Loci Outside the HLA Region With Susceptibility to Anti-Cyclic Citrullinated Peptide-Negative Rheumatoid Arthritis.

Sebastien Viatte, Jonathan Massey, John Bowes, Kate Duffus, arcOGEN Consortium, Stephen Eyre, Anne Barton, Jane Worthington

Open access · hybridAbstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2016. 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
4.2field-weighted citation impact, top 6% 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, 43 citations in OpenAlex.

  1. Article
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  6. Association ofInternational journal of endocrinology · 2022
    Article
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  18. Prolactin and Autoimmunity.Frontiers in immunology · 2018
    Review
  19. 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

8 authors at 3 institutions in 1 country.

Sebastien ViatteArthritis Research UK Centre for Genetics and Genomics, Manchester Academic Health Science Centre, and University of Manchester, Manchester, UK.
Jonathan MasseyArthritis Research UK Centre for Genetics and Genomics, Manchester Academic Health Science Centre, and University of Manchester, Manchester, UK.
John BowesArthritis Research UK Centre for Genetics and Genomics, Manchester Academic Health Science Centre, and University of Manchester, Manchester, UK.
Kate DuffusArthritis Research UK Centre for Genetics and Genomics, Manchester Academic Health Science Centre, and University of Manchester, Manchester, UK.
arcOGEN Consortium
Stephen EyreArthritis Research UK Centre for Genetics and Genomics, Manchester Academic Health Science Centre, and University of Manchester, Manchester, UK.
Anne BartonNIHR Manchester Musculoskeletal Biomedical Research Unit, Central Manchester NHS Foundation Trust, Arthritis Research UK Centre for Genetics and Genomics, Manchester Academic Health Science Centre, and University of Manchester, Manchester, UK.
Jane WorthingtonNIHR Manchester Musculoskeletal Biomedical Research Unit, Central Manchester NHS Foundation Trust, Arthritis Research UK Centre for Genetics and Genomics, Manchester Academic Health Science Centre, and University of Manchester, Manchester, UK.
University of Manchester · GBManchester Academic Health Science Centre · GBNIHR Manchester Biomedical Research Centre · GB

Funding

Arthritis Research UK 20385Wellcome Trust
6 · The paper itself

Abstract

objectiveGenetic polymorphisms within the HLA region explain only a modest proportion of anti-cyclic citrullinated peptide (anti-CCP)-negative rheumatoid arthritis (RA) heritability. However, few non-HLA markers have been identified so far. This study was undertaken to replicate the associations of anti-CCP-negative RA with non-HLA genetic polymorphisms demonstrated in a previous study.

methodsThe Rheumatoid Arthritis Consortium International densely genotyped 186 autoimmune-related regions in 3,339 anti-CCP-negative RA patients and 15,870 controls across 6 different populations using the Illumina ImmunoChip array. We performed a case-control replication study of the anti-CCP-negative markers with the strongest associations in that discovery study, in an independent cohort of anti-CCP-negative UK RA patients. Individuals from the arcOGEN Consortium and Wellcome Trust Case Control Consortium were used as controls. Genotyping in cases was performed using Sequenom MassArray technology. Genome-wide data from controls were imputed using the 1000 Genomes Phase I integrated variant call set release version 3 as a reference panel.

resultsAfter genotyping and imputation quality control procedures, data were available for 15 non-HLA single-nucleotide polymorphisms in 1,024 cases and 6,348 controls. We confirmed the known markers ANKRD55 (meta-analysis odds ratio [OR] 0.80; P = 2.8 × 10(-13) ) and BLK (OR 1.13; P = 7.0 × 10(-6) ) and identified new and specific markers of anti-CCP-negative RA (prolactin [PRL] [OR 1.13; P = 2.1 × 10(-6) ] and NFIA [OR 0.85; P = 2.5 × 10(-6) ]). Neither of these loci is associated with other common, complex autoimmune diseases.

conclusionAnti-CCP-negative RA and anti-CCP-positive RA are genetically different disease subsets that only partially share susceptibility factors. Genetic polymorphisms located near the PRL and NFIA genes represent examples of genetic susceptibility factors specific for anti-CCP-negative RA.

Indexed as

Arthritis, RheumatoidAutoantibodiesCase-Control StudiesFemaleGenetic LociGenotypeHLA AntigensHumansMalePeptides, CyclicAutoantibodiescyclic citrullinated peptideHLA AntigensPeptides, Cyclic

Identifiers

PMID26895230
PMCPMC4924598
OpenAlexW2470370465

What OpenQuestion holds

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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.