Summary statistics are available for download from the GWAS Catalog.
Publication
Genetic risk shared across 24 chronic pain conditions: identification and characterization with genomic structural equation modeling.
Zorina-Lichtenwalter K, Bango CI, Van Oudenhove L, Čeko M, Lindquist MA, Grotzinger AD, Keller MC, Friedman NP, Wager TD.
Pain. 2023 Oct;164(10):2239–2252. doi: 10.1097/j.pain.0000000000002922.
PMID: 37219871
Phenotypes
- Arthrosis of first carpometacarpal joint
- Arthrosis and/or arthritis
- Chronic back pain
- Chest pain or discomfort (UKB data field 2335)
- Chest pain felt during physical activity (UKB data field 6015)
- Crohn's disease
- Carpal tunnel syndrome
- Cystitis
- Diabetic neuropathy
- Enthesopathies of lower limb
- Enthesopathies, excluding lower limb
- Fibromyalgia
- Gastritis
- Chronic widespread pain
- Gout
- Chronic headache
- Hip arthrosis
- Chronic hip pain
- Irritable bowel syndrome
- Knee arthrosis
- Chronic knee pain
- Leg pain
- Migraine
- Chronic neck and/or shoulder pain
- Esophagitis
- Rheumatoid arthritis
- Polymyalgia rheumatica
- Joint pain
- Prostatitis
- Seropositive rheumatoid arthritis
- Chronic stomach pain
- Ulcerative colitis
- Urinary colic
Experiment summary
This study ran GWAS for 24 chronic pain conditions in up to ~436,000 UK Biobank participants of European ancestry, estimated genetic correlations, and applied Genomic SEM to model shared architecture, identifying a general chronic pain factor and a musculoskeletal-specific factor; factor GWAS and network analyses highlighted hubs including arthropathic, back, and neck pain.