<HashMap><database>biostudies-literature</database><scores/><additional><submitter>McMenamin KJ</submitter><funding>Horizon Therapeutics</funding><funding>RRD VA</funding><funding>Rehabilitation Research and Development Service</funding><funding>U.S. Department of Defense</funding><funding>National Institutes of Health</funding><funding>Clinical Science Research and Development</funding><funding>U.S. Department of Veterans Affairs</funding><funding>National Institute of General Medical Sciences</funding><funding>NIH HHS</funding><funding>NIGMS NIH HHS</funding><funding>CSRD VA</funding><pagination>1409-1417</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12750132</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>77(12)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>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).&lt;h4>Methods&lt;/h4>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</pubmed_abstract><journal>Arthritis care &amp; research</journal><pubmed_title>Development and External Validation of a Genetic Risk Score for Pain in Rheumatoid Arthritis.</pubmed_title><pmcid>PMC12750132</pmcid><funding_grant_id>I01 RX003644</funding_grant_id><funding_grant_id>5T32GM075766‐17</funding_grant_id><funding_grant_id>IK2 CX002351</funding_grant_id><funding_grant_id>CX002351</funding_grant_id><funding_grant_id>5T32GM075766-17</funding_grant_id><funding_grant_id>T32 GM075766</funding_grant_id><funding_grant_id>I01 CX001703</funding_grant_id><funding_grant_id>U54GM115458</funding_grant_id><funding_grant_id>PR200793</funding_grant_id><funding_grant_id>U54 GM115458</funding_grant_id><funding_grant_id>IK2 CX002203</funding_grant_id><pubmed_authors>McMenamin KJ</pubmed_authors><pubmed_authors>Michaud K</pubmed_authors><pubmed_authors>Wheeler A</pubmed_authors><pubmed_authors>Baker JF</pubmed_authors><pubmed_authors>England BR</pubmed_authors><pubmed_authors>Mikuls TR</pubmed_authors><pubmed_authors>March M</pubmed_authors><pubmed_authors>Wysham KD</pubmed_authors><pubmed_authors>Xiao R</pubmed_authors><pubmed_authors>Toikumo S</pubmed_authors><pubmed_authors>Riley TR</pubmed_authors><pubmed_authors>Kember RL</pubmed_authors><pubmed_authors>Wipfler K</pubmed_authors><pubmed_authors>Kranzler HR</pubmed_authors><pubmed_authors>Sauer B</pubmed_authors><pubmed_authors>Cannon GW</pubmed_authors></additional><is_claimable>false</is_claimable><name>Development and External Validation of a Genetic Risk Score for Pain in Rheumatoid Arthritis.</name><description>&lt;h4>Objective&lt;/h4>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).&lt;h4>Methods&lt;/h4>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</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-06T10:39:36.224Z</modification><creation>2026-05-29T03:12:31.176Z</creation></dates><accession>S-EPMC12750132</accession><cross_references><pubmed>40583606</pubmed><doi>10.1002/acr.25588</doi></cross_references></HashMap>