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

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

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

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 and Frances M K Williams

PLOS Genetics, 2018, vol. 14, issue 9, 1-23

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

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1007601 (text/html)
https://journals.plos.org/plosgenetics/article/fil ... 07601&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pgen00:1007601

DOI: 10.1371/journal.pgen.1007601

Access Statistics for this article

More articles in PLOS Genetics from Public Library of Science
Bibliographic data for series maintained by plosgenetics ().