Affiliation:
1. Department of Epidemiology and Biostatistics, School of Public Health Anhui Medical University Hefei China
2. Big Data and Population Health of IHM Hefei China
3. Inflammation and Immunity Mediated Diseases, Institute of Kidney Disease The Second Hospital of Anhui Medical University Hefei China
4. Department of Health Promotion and Behavioral Sciences, School of Public Health Anhui Medical University Hefei China
Abstract
AbstractObjectivesEmerging research has investigated the potential impact of several modifiable risk factors on the risks of rheumatoid arthritis (RA), but the findings did not yield consistent results. This study aimed to comprehensively explore the genetic causality between modifiable risk factors and the susceptibility of RA risk using the Mendelian randomization (MR) approach.MethodsGenetic instruments for modifiable risk factors were selected from several genome‐wide association studies at the genome‐wide significance level (p < 5 × 10−8), respectively. Summary‐level data for RA were sourced from a comprehensive meta‐analysis. The causal estimates linking modifiable risk factors to RA risk were assessed using MR analysis with inverse variance weighting (IVW), MR‐Egger, weighted, and weighted median methods.ResultsAfter Bonferroni correction for multiple tests, we found the presence of causality between educational attainment and RA, where there were protective effects of educational attainment (college completion) (odds ratio [OR] = 0.50, 95% CI = 0.36, 0.69, p = 2.87E‐05) and educational attainment (years of education) (OR = 0.93, 95% CI = 0.90, 0.96, p = 4.18E‐06) on the lower RA risks. Nevertheless, smoking initiation was observed to be associated with increased RA risks (OR = 1.27, 95% CI = 1.09, 1.47, p = .002). Moreover, there was no indication of horizontal pleiotropy of genetic variants during causal inference between modifiable risk factors and RA.ConclusionsOur study reveals the genetic causal impacts of educational attainment and smoking on RA risks, suggesting that the early monitoring and recognition of modifiable risk factors would be beneficial for the preventive counseling/treatment strategies for RA.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Anhui Province