Genetic and meta-analysis to identify markers associated with low back pain as part of the FP7 Pain-omics study
Approved Research ID: 18219
Approval date: July 28th 2020
We wish to perform genetic analysis and meta-analysis to identify markers associated with low back pain as part of the FP7 Pain_omics study. In addition, we would like to examine environmental risk factors for low back pain.
We also would like to analyse intervertebral disc degeneration (IDD) as one of the strongest predictors of low back pain. In particular, we would like to carry out large genome-wide association study for IDD and estimate genetic correlations between IDD, low back pain and putative risk factors.
- Genome-wide meta-analysis identifies genetic locus on chromosome 9 associated with Modic changes
- Insight into the genetic architecture of back pain and its risk factors from a study of 509,000 individuals
- Genome-wide meta-analysis of 158,000 individuals of European ancestry identifies three loci associated with chronic back pain
- Genome-wide association study identifies RNF123 locus as associated with chronic widespread musculoskeletal pain