Evidence map›Paper›PMID 40583606›Full record

ArticleArthritis care & research2025

Development and External Validation of a Genetic Risk Score for Pain in Rheumatoid Arthritis.

Katie J McMenamin, Thomas R Riley, Kristin Wipfler, Kaleb Michaud, Austin Wheeler, Bryant R England, Brian Sauer, Katherine D Wysham, Rui Xiao, Michael March and 6 more

Abstract readValidation Study
In one paragraph

Article in Arthritis care & research, 2025. 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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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Katie J McMenaminBoston Medical Center, Boston, Massachusetts.ORCID 0000-0002-5483-9122
Thomas R RileyUniversity of Pennsylvania and Corporal Michael J. Crescenz Department of Veterans Affairs Medical Center, Philadelphia.ORCID 0009-0003-0194-7562
Kristin WipflerFORWARD, The National Databank for Rheumatic Diseases, Wichita, Kansas.ORCID 0000-0001-8137-8117
Kaleb MichaudFORWARD, The National Databank for Rheumatic Diseases, Wichita, Kansas, and VA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.
Austin WheelerVA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.ORCID 0000-0002-8816-7782
Bryant R EnglandVA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.ORCID 0000-0002-9649-3588
Brian SauerSalt Lake City VA Medical Center and University of Utah, Salt Lake City.ORCID 0000-0002-3546-3051
Katherine D WyshamVA Puget Sound Health Care System and University of Washington, Seattle.ORCID 0000-0001-8707-7649
Rui XiaoUniversity of Pennsylvania and Children's Hospital of Philadelphia, Philadelphia.
Michael MarchChildren's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Grant W CannonSalt Lake City VA Medical Center and University of Utah, Salt Lake City.ORCID 0000-0001-6640-9173
Sylvanus ToikumoUniversity of Pennsylvania and Corporal Michael J. Crescenz Department of Veterans Affairs Medical Center, Philadelphia.
Henry R KranzlerUniversity of Pennsylvania and Corporal Michael J. Crescenz Department of Veterans Affairs Medical Center, Philadelphia.
Rachel L KemberUniversity of Pennsylvania and Corporal Michael J. Crescenz Department of Veterans Affairs Medical Center, Philadelphia.
Ted R MikulsVA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.ORCID 0000-0002-0897-2272
Joshua F BakerUniversity of Pennsylvania and Corporal Michael J. Crescenz Department of Veterans Affairs Medical Center, Philadelphia.

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI RIZZO, MATTHEW · 2016 to 2025
$42.8M
Clinical Pharmacoepidemiology Training ProgramT32GM075766 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Sean Hennessy, Charles Edward Leonard · 2006 to 2026
$8.4M
Training Program/Rheumatic DiseasesT32AR076951 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI EDWARD M BEHRENS, Peter A Merkel · 2020 to 2026
$2.6M
Clinical Science Research and Development CX002351CSRD VA I01 CX001703CSRD VA IK2 CX002203CSRD VA IK2 CX002351Horizon TherapeuticsNIAMS NIH HHS T32 AR076951NIGMS NIH HHS T32 GM075766NIGMS NIH HHS U54 GM115458NIGMS NIH HHS U54GM115458NIH HHS 5T32GM075766-17RRD VA I01 RX003644U.S. Department of Defense PR200793
6 · The paper itself

Abstract

objectiveSeveral single-nucleotide polymorphisms (SNPs) have been associated with chronic pain syndromes. Our objective was to determine whether genetic variants are associated with pain and disease activity in rheumatoid arthritis (RA).

methodsParticipants were included from two independent RA cohorts: FORWARD (National Databank for Rheumatic Diseases, training data set) and the Veterans Affairs Rheumatoid Arthritis Registry (VARA; validation data set). Multivariable linear regression was used to estimate the relationship between cross-sectional pain scores and 36 fibromyalgia (FM)-associated SNPs in FORWARD. SNP alleles were summed and weighted by these regression coefficients to generate a genetic risk score (GRS) for pain for each participant in both cohorts. Linear regressions and generalized estimating equations were used to determine the relationship between this GRS, an existing pain intensity GRS, and pain and self-reported disease activity.

resultsThe sample comprised 756 participants from FORWARD (mean age 56.8 years, 89.4% female) and 2,176 participants from VARA (mean age 64.3 years, 11.0% female) who had pain and genotyping data. Participants in the validation data set (VARA) with FM GRS in the highest quartile had more baseline pain than those in the lowest quartile (+0.55 [95% confidence interval 0.16-0.93], P = 0.006). This was also true for the existing pain intensity GRS. VARA participants in the highest quartile of both GRS had more pain throughout follow-up and higher disease activity scores.

conclusionGRS based on pain-related SNPs were associated with RA pain and disease activity, suggesting that the genetic risk of pain may have clinical impacts in RA, such as the likelihood of achieving remission.

Indexed as

Arthritis, RheumatoidPolymorphism, Single NucleotideAgedCross-Sectional StudiesFemaleFibromyalgiaGenetic Predisposition to DiseaseGenetic Risk ScoreHumansMaleMiddle AgedPain MeasurementRegistriesReproducibility of ResultsRisk AssessmentRisk Factors

Identifiers

PMID40583606
PMCPMC12750132

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LicenceCC BY-NC-ND
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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.