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Genome-wide meta-analysis of 158,000 individuals of European ancestry identifies three loci associated with chronic back pain

Author

Listed:
  • Pradeep Suri
  • Melody R Palmer
  • Yakov A Tsepilov
  • Maxim B Freidin
  • Cindy G Boer
  • Michelle S Yau
  • Daniel S Evans
  • Andrea Gelemanovic
  • Traci M Bartz
  • Maria Nethander
  • Liubov Arbeeva
  • Lennart Karssen
  • Tuhina Neogi
  • Archie Campbell
  • Dan Mellstrom
  • Claes Ohlsson
  • Lynn M Marshall
  • Eric Orwoll
  • Andre Uitterlinden
  • Jerome I Rotter
  • Gordan Lauc
  • Bruce M Psaty
  • Magnus K Karlsson
  • Nancy E Lane
  • Gail P Jarvik
  • Ozren Polasek
  • Marc Hochberg
  • Joanne M Jordan
  • Joyce B J Van Meurs
  • Rebecca Jackson
  • Carrie M Nielson
  • Braxton D Mitchell
  • Blair H Smith
  • Caroline Hayward
  • Nicholas L Smith
  • Yurii S Aulchenko
  • Frances M K Williams

Abstract

Back pain is the #1 cause of years lived with disability worldwide, yet surprisingly little is known regarding the biology underlying this symptom. We conducted a genome-wide association study (GWAS) meta-analysis of chronic back pain (CBP). Adults of European ancestry were included from 15 cohorts in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, and from the UK Biobank interim data release. CBP cases were defined as those reporting back pain present for ≥3–6 months; non-cases were included as comparisons (“controls”). Each cohort conducted genotyping using commercially available arrays followed by imputation. GWAS used logistic regression models with additive genetic effects, adjusting for age, sex, study-specific covariates, and population substructure. The threshold for genome-wide significance in the fixed-effect inverse-variance weighted meta-analysis was p

Suggested Citation

  • Pradeep Suri & Melody R Palmer & Yakov A Tsepilov & Maxim B Freidin & Cindy G Boer & Michelle S Yau & Daniel S Evans & Andrea Gelemanovic & Traci M Bartz & Maria Nethander & Liubov Arbeeva & Lennart K, 2018. "Genome-wide meta-analysis of 158,000 individuals of European ancestry identifies three loci associated with chronic back pain," PLOS Genetics, Public Library of Science, vol. 14(9), pages 1-23, September.
    • Handle: RePEc:plo:pgen00:1007601
    DOI: 10.1371/journal.pgen.1007601
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    Cited by:

    1. Keira J A Johnston & Joey Ward & Pradipta R Ray & Mark J Adams & Andrew M McIntosh & Blair H Smith & Rona J Strawbridge & Theodore J Price & Daniel J Smith & Barbara I Nicholl & Mark E S Bailey, 2021. "Sex-stratified genome-wide association study of multisite chronic pain in UK Biobank," PLOS Genetics, Public Library of Science, vol. 17(4), pages 1-27, April.

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