{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["McMenamin KJ"],"funding":["Horizon Therapeutics","RRD VA","Rehabilitation Research and Development Service","U.S. Department of Defense","National Institutes of Health","Clinical Science Research and Development","U.S. Department of Veterans Affairs","National Institute of General Medical Sciences","NIH HHS","NIGMS NIH HHS","CSRD VA"],"pagination":["1409-1417"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12750132"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["77(12)"],"pubmed_abstract":["Objective
Several 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).Methods
Participants 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 re"],"journal":["Arthritis care & research"],"pubmed_title":["Development and External Validation of a Genetic Risk Score for Pain in Rheumatoid Arthritis."],"pmcid":["PMC12750132"],"funding_grant_id":["I01 RX003644","5T32GM075766‐17","IK2 CX002351","CX002351","5T32GM075766-17","T32 GM075766","I01 CX001703","U54GM115458","PR200793","U54 GM115458","IK2 CX002203"],"pubmed_authors":["McMenamin KJ","Michaud K","Wheeler A","Baker JF","England BR","Mikuls TR","March M","Wysham KD","Xiao R","Toikumo S","Riley TR","Kember RL","Wipfler K","Kranzler HR","Sauer B","Cannon GW"],"additional_accession":[]},"is_claimable":false,"name":"Development and External Validation of a Genetic Risk Score for Pain in Rheumatoid Arthritis.","description":"Objective
Several 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).Methods
Participants 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 re","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-06T10:39:36.224Z","creation":"2026-05-29T03:12:31.176Z"},"accession":"S-EPMC12750132","cross_references":{"pubmed":["40583606"],"doi":["10.1002/acr.25588"]}}