Evidence map›Paper›PMID 41713227›Full record

ArticleSeminars in arthritis and rheumatism2026

Identifying the strongest novel gene-respiratory disease interactions for rheumatoid arthritis risk.

Vanessa L Kronzer, Rebecca T Brooks, Anne K Shurtz, Xiaosong Wang, Elizabeth J Atkinson, John M Davis, Jeffrey A Sparks, James R Cerhan, Elena K Joerns, Robert Vassallo and 1 more

Abstract read
In one paragraph

Article in Seminars in arthritis and rheumatism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Vanessa L KronzerDivision of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA. Electronic address: kronzer.vanessa@mayo.edu.
Rebecca T BrooksDepartment of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Anne K ShurtzDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Xiaosong WangDivision of Rheumatology Inflammation and Immunity; Brigham and Women's Hospital Harvard Medical School; Boston, USA.
Elizabeth J AtkinsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
John M DavisDivision of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA.
Jeffrey A SparksDivision of Rheumatology Inflammation and Immunity; Brigham and Women's Hospital Harvard Medical School; Boston, USA.
James R CerhanDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Elena K JoernsDivision of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA.
Robert VassalloDivision of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Cynthia S CrowsonDivision of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.

Funding

Upper respiratory-genetic and nasal microbiome risk factors for rheumatoid arthritisK23AR086105 · NIAMS · MAYO CLINIC ROCHESTER · PI Vanessa Lynn Kronzer · 2026 to 2026
$175k
NIAMS NIH HHS K23 AR086105
6 · The paper itself

Abstract

objectiveWe aimed to identify the strongest individual gene-respiratory interactions for rheumatoid arthritis (RA) risk.

methodsThis case-control study used the Mayo Clinic (MC) and Mass General Brigham (MGB) biobanks for discovery and validation, respectively. We matched criteria-confirmed incident RA cases to four non-RA controls on age, sex, and duration electronic health record (EHR) history. Genetic exposures included known RA risk alleles. We identified respiratory diseases by codes and defined "respiratory burden" as the total number of respiratory codes divided by EHR duration before index date of RA. Using logistic regression models adjusting for potential confounders, we estimated odds ratios (OR) with 95% confidence intervals (CI) for the interactions between genetic and respiratory exposures for RA risk.

resultsWe identified 1,125 incident RA cases and 4,495 non-RA controls (mean age 64 years, 70% female in MC; 54 years, 76% female in MGB). In MC, both interstitial lung disease (OR 1.55, 95% CI 1.00-2.40) and overall respiratory burden (OR 1.67, 95% CI 1.30-2.15) were associated with incident RA. Four novel gene-respiratory interactions validated in MGB including CD83/RNF182 (rs12530098)-acute pharyngitis for seronegative RA (OR 4.06 [95% CI 1.61-10.3] MC; 3.68 [95% CI 1.42-9.56] MGB) and JARID2 (rs113532504)-asthma for seropositive RA (OR 2.66 [95% CI 1.30-5.44] MC; 1.93 [95% CI 1.20-3.08] MGB). The CD83/RNF182-acute pharyngitis interaction exhibited the strongest dose-response association (OR 8.54 [95% CI 1.59-45.9] for highest respiratory burden).

conclusionThis study identified novel respiratory risk factors and gene-respiratory endotypes for RA, which may be useful for RA prevention, diagnosis, and treatment.

Indexed as

Arthritis, RheumatoidRespiratory Tract DiseasesAgedCase-Control StudiesFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedRisk FactorsEpidemiologyGeneticsRespiratoryRheumatoid arthritis

Identifiers

PMID41713227
PMCPMC13389969

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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.