The Genetic Causal Association between Socio-economic Status, multiple psycho-emotional Disorders, obesity and Risk for Rotator Cuff Syndrome: A Two-sample Mendelian Randomization

Abstract Objective: Previous studies have linked socio-economic status (SES), multiple psycho-emotional disorders, and obesity to an elevated risk of rotator cuff syndrome(RCS); however, the causal relationship remains unclear. Here, Mendelian randomization (MR) to investigate the causal relationship. Methods: We examined the correlation between SES, multiple psycho-emotional disorders, obesity, and RCS. Instrumental variables for RCS were selected from the FinnGen biobank by the MRC Integrative Epidemiology Unit at the University of Bristol (IEU) Genome-wide association studies(GWAS) database project. socio-economic status, multiple psycho-emotional disorders, and obesity genetic data came from a UK-biobank GWAS computational model study. Inverse variance weighted (IVW) MR was the primary method used. Sensitivity analysis, MR-pleiotropy residual sum, and outlier (MR-PRESSO) were used for further comparisons. Results: Based on the IVW method, we found that genetically determined age completed full-time education[IVW odds ratio(OR) =0.466,95% confidence interval (CI)=0.276,0.786, P=0.004] was identified protective effects on RCS risk, and unfavourable effects of higher genetically predicted Job involves heavy manual or physical work(IVW OR=2.042, 95%CI=1.007,4.142 ,P=0.048 ),Tense / 'highly strung'(IVW OR=6.635, 95%CI=1.148,38.356,P=0.035 ),Body mass index (BMI)(IVW OR=1.276 , 95%CI=1.099 ,38.356,P=1.481),Waist circumference(IVW OR=1.450, 95%CI=1.247 ,1.687 ,P＜0.001 ). The rest of the results were negative. Conclusions: This two-sample MR study provides evidence of a causal association between low level of education, heavy manual work, highly tense psychological characteristics, obesity, and increased RCS in a European population. Therefore, early screening and education in the above-mentioned population are of great significance for RCS risk management.