Evidence map›Paper›PMID 36113963›Full record

ArticleRMD open2022

Identification of variants in genes associated with autoinflammatory disorders in a cohort of patients with psoriatic arthritis.

Faranaz Atschekzei, Natalia Dubrowinskaja, Manfred Anim, Thea Thiele, Torsten Witte, Georgios Sogkas

Open access · goldAbstract read
In one paragraph

Article in RMD open, 2022. 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
0.8field-weighted citation impact, top 31% 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, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Faranaz AtschekzeiRheumatology and Immunology, Hannover Medical School, Hannover, Germany.
Natalia DubrowinskajaRheumatology and Immunology, Hannover Medical School, Hannover, Germany.
Manfred AnimRheumatology and Immunology, Hannover Medical School, Hannover, Germany.
Thea ThieleDepartment of Rheumatology and Immunology, Hannover Medical School, Hannover, Germany.
Torsten WitteClinical Immunology, Hannover Medical School, Hannover, Germany.
Georgios SogkasRheumatology and Immunology, Hannover Medical School, Hannover, Germany sogkas.georgios@mh-hannover.de.ORCID 0000-0003-0855-2945
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBesides adaptive immunity genes, genetic risk factors for psoriatic arthritis (PsA) include innate immunity loci, which suggests an autoinflammatory disease mechanism, at least in a subset of patients. Here, we aimed at investigating the autoinflammatory genetic background of PsA.

methodsA total of 120 patients with PsA visiting the outpatient clinics of the Hannover University hospital underwent targeted next-generation sequencing, searching for variations in genes linked with inborn errors of immunity classified as autoinflammatory disorders (AIDs). Deleteriousness of rare variants was evaluated through in silico analysis.

resultsWe found 45 rare predicted deleterious variants in 37 out of 120 (30.8%) patients with PsA. Relatively common were variants in

conclusionsApproximately 30% of patients with PsA harboured at least one variant in a gene associated with an AID, suggesting an autoinflammatory disease mechanism. Detection of variants in genes linked to AD-AIDs may explain extra-articular manifestations of PsA, such as pustular psoriasis and IBD.

Indexed as

Acquired Immunodeficiency SyndromeArthritis, PsoriaticHereditary Autoinflammatory DiseasesInflammatory Bowel DiseasesPsoriasisGenetic Predisposition to DiseaseHumansarthritis, psoriaticepidemiologyimmune system diseasesinflammationpolymorphism, genetic

Identifiers

PMID36113963
PMCPMC9486391
OpenAlexW4296073181

What OpenQuestion holds

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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.