ArticleJournal of pain research2026
SMR Analysis Integrating GWAS and eQTL Data Reveals UHRF1BP1 and SNRPC as Potential Drug Targets for Low Back Pain.
Article in Journal of pain research, 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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Abstract
Purpose: Low back pain (LBP) is a leading cause of disability worldwide with limited effective pharmacotherapies. We aimed to identify novel therapeutic candidate targets for LBP through integrative genomics. Methods: We employed summary-data-based Mendelian randomization (SMR) with GWAS data from FinnGen (13,178 cases/164,682 controls) and tissue-specific expression quantitative trait loci (eQTLs) from peripheral blood (Westra cohort: n = 5,311; 15,636 genes) and brain tissue (UKBEC: n = 134; 16,309 genes). Heterogeneity in dependent instruments (HEIDI) analysis validated causal associations. Candidate targets were further assessed by pathway enrichment, drug prediction, and phenome-wide association studies (PheWAS). Results: Peripheral blood eQTLs identified four genes associated with LBP ( Conclusion: This multi-omics framework prioritizes
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