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Multi-ancestry meta-analysis of genome-wide association studies discovers 67 new loci associated with chronic back pain

Author

Listed:
  • Ian B. Stanaway

    (VA Puget Sound Health Care System (VAPSHCS)
    University of Washington)

  • Pradeep Suri

    (VA Puget Sound Health Care System (VAPSHCS)
    VAPSCHS
    University of Washington
    University of Washington)

  • Niloofar Afari

    (University of California San Diego
    VA San Diego Healthcare System (VASDHS)
    VASDHS)

  • Daniel Dochtermann

    (VA Boston Healthcare System (VABHS))

  • Armand Gerstenberger

    (VA Puget Sound Health Care System (VAPSHCS)
    VAPSHCS)

  • Saiju Pyarajan

    (VA Boston Healthcare System (VABHS))

  • Eric J. Roseen

    (Boston University Chobanian & Avedision School of Medicine and Boston Medical Center
    VA Boston Healthcare System)

  • Marianna Gasperi

    (VA Puget Sound Health Care System (VAPSHCS)
    University of California San Diego
    VA San Diego Healthcare System (VASDHS)
    VASDHS)

Abstract

This multi-ancestry meta-analysis of genome-wide association studies (GWAS) investigated the genetic factors underlying chronic back pain (CBP) in a sample from the Million Veteran Program comprised of 553,601 Veterans of African (19.2%), European (72.6%), and Hispanic (8.2%) ancestry. The results revealed novel (N = 67) and known (N = 20) genome-wide significant loci associated with CBP, with 43 independent variants replicating in a non-overlapping contemporary meta-GWAS of the spinal pain dorsalgia phenotype. The most significant novel variant was rs12533005 (chr7:114416000, p = 1.61 × 10−20, OR = 0.96 (95% CI: 0.95–0.97), EA = C, EAF = 0.39), in an intron of the FOXP2 gene. In silico functional characterization revealed enrichment in brain and pituitary tissues. Mendelian randomization analysis of 62 variants for CBP-MVP revealed 48 with causal links to dorsalgia. Notably, four genes (INPP5B, DRD2, HTT, SLC30A6) associated with these variants are targets of existing drugs. Our findings more than double the number of previously reported genetic predictors across all spinal pain phenotypes.

Suggested Citation

  • Ian B. Stanaway & Pradeep Suri & Niloofar Afari & Daniel Dochtermann & Armand Gerstenberger & Saiju Pyarajan & Eric J. Roseen & Marianna Gasperi, 2025. "Multi-ancestry meta-analysis of genome-wide association studies discovers 67 new loci associated with chronic back pain," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-024-55326-3
    DOI: 10.1038/s41467-024-55326-3
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