Genetic insights into associations of multisite chronic pain with common diseases and biomarkers using data from the UK Biobank
Authors' conclusion
We established that MCP has an effect on health conditions covering various physiological systems and identified six novel biomarkers for intervention.
Study context
- Population
- UK Biobank; multisite chronic pain (MCP) vs 36 common diseases and 4774 plasma proteins
Methodological detailsunivariable and multivariable Mendelian randomisation (MR), phenome-wide MR
- Univariable and multivariable MR
- Phenome-wide MR
Main finding
As reported in the abstract
- MCP had a substantial impact on major depression, ADHD, MI, coronary artery disease, HF, asthma, COPD, sleep apnoea, arthropathies, type 2 DM and cholelithiasis
- Higher genetically predicted S100A6, DOCK9, ferritin and ferritin light chain associated with MCP risk
- PTN9 and NEUG linked to decreased MCP risk
Safety
Predicted safety of biomarker intervention (Phe-MR, 1658 outcomes)
- Genetic inhibition of DOCK9 increased the risk of 21 types of disease
- Other biomarker interventions relatively safe
Original publication
Genetic insights into associations of multisite chronic pain with common diseases and biomarkers using data from the UK Biobank. Br J Anaesth. Published 15 December 2023. doi:10.
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