Bidirectional Two-Sample Mendelian Randomization Analysis Reveals Causal Associations Between Modifiable Risk Factors and Fibromyalgia.

INTRODUCTION

This study aims to investigate the potential causal effects of modifiable risk factors on Fibromyalgia (FM).

METHODS

Genetic variants associated with 34 exposure factors were obtained from Genome-wide association studies (GWAS). Summary statistics for FM were acquired from the FinnGen consortium. Bidirectional Mendelian randomization (MR) analysis was conducted between all exposures and outcomes. The inverse-variance weighted (IVW) method was employed as the primary estimation technique. Heterogeneity and pleiotropy were assessed using MR-PRESSO global test, the weighted median, Cochran's Q statistic and MR-Egger.

RESULTS

Depression (OR=2.087, 95% CI: 1.466-2.971), alcohol consumption (OR=1.489, 95% CI: 1.094-2.028), body fat percentage (OR=1.524, 95% CI: 1.153-2.013) and body mass index (BMI) (OR=1.542, 95% CI: 1.271-1.872) were associated with an increased risk of FM among genetically susceptible individuals. Conversely, higher education level (OR=0.404, 95% CI: 0.297-0.549), longer years of education (OR=0.489, 95% CI: 0.290-0.825) and higher household income (OR=0.328, 95% CI: 0.215-0.502) were protective against FM. Additionally, rheumatoid arthritis (OR=1.138, 95% CI: 1.061-1.221) and ankylosing spondylitis (OR=1.079, 95% CI: 1.021-1.140) were identified as important risk factors for FM.

CONCLUSION

This MR study unveiled a complex causal relationship between modifiable risk factors and FM. Psychosocial factors significantly increase the odds of FM, while obesity and some autoimmune diseases that frequently coexist with FM demonstrate causal associations. Additionally, lifestyle habits such as alcohol consumption are causally related to FM. Further investigation is needed to determine whether risk factors contribute to the pathogenesis of FM through mechanisms involving central sensitization, inflammatory, and hyperalgesia. This study enhances our understanding of the factors that drive FM onset and progression, offering valuable insights for future targeted prevention and treatment strategies.