Depression and risk of arthritis: A Mendelian randomization study

Abstract

Abstract Introduction Observational studies have found that most patients with arthritis have depression. We aimed to determine the causal relationship between various types of arthritis and depression. Methods We conducted a two‐sample bidirectional Mendelian randomized (MR) analysis to determine whether there was a significant causal relationship between depression and multiple types of arthritis. The data of our study were derived from the publicly released genome‐wide association studies (GWASs) and the largest GWAS meta‐analysis. MR analysis mainly used inverse‐variance weighted method; supplementary methods included weighted median, weighted mode, and MR‐Egger using MR pleiotropy residual sum and outlier to detect and correct for the presence of pleiotropy. Results After adjusting for heterogeneity and horizontal pleiotropy, we found that depression was associated with an increased risk of osteoarthritis (OA) (OR = 1.02, 95%CI: 1.01–1.02, p = 2.96 × E − 5). In the reverse analysis, OA was also found to increase the risk of depression (OR = 1.10, 95%CI: 1.04–1.15, p = .0002). Depression only increased the risk of knee OA (KOA) (OR = 1.25, 95%CI: 1.10–1.42, p = 6.46 × E − 4). Depression could potentially increase the risk of spondyloarthritis (OR = 1.52, 95%CI: 1.19–1.94, p ≤ 8.94 × E − 4). Conclusion There is a bidirectional causal relationship of depression with OA. However, depression only augments the risk of developing KOA. Depression may increase the risk of spondyloarthritis and gout.

Keywords

• arthritis
• depressive
• Mendelian randomization