Mendel randomized analysis of the relationship between pulmonary respiratory function and ovarian cancer

Abstract Objective: To explore the causal relationship between forced vital capacity, forced expiratory volume in 1-second (FEV1) best measure, expiratory volume in 1-second (FEV1), predicted and ovarian cancer by using Mendel randomization method. Methods: The genome-wide association data of forced vital capacity, forced expiratory volume in 1-second (FEV1) best measure, expiratory volume in 1-second (FEV1), predicted and ovarian cancer were obtained based on the platform of Mendel randomization (MR). SNPs significantly related to forced vital capacity, forced expiratory volume in 1-second (fev1) best measure, expiratory volume in 1-second (fev1) and predicted were determined as tool variables. The causal relationship between forced vital capacity, forced expiratory volume in 1-second (FEV1) best measure, expiratory volume in 1-second (FEV1), predicted and ovarian cancer was detected by two-sample MR research method. MR-Egger regression weighted median method (WME) and weighted inverse variance method (IVW) were used to analyze the causal relationship between forced vital capacity and ovarian cancer. Results: The results of the study included 463 items related to forced expiratory volume in 1-second (FEV1) best measure, expiratory volume in 1-second (FEV1), SNPs with significantly correlated predicted amount were used as instrumental variables (with P <5×10-8 as the screening condition, linkage disequilibrium coefficient r2 was 0.001, and linkage disequilibrium region width was 10000kb). When assessed by different methods, it was found that forced vital capacity, MR Egger(OR value: 1.002, 95% CI: 0.9962-1. Weighted median(OR value: 1.003,95% ci: 0.9998-1.007), Inverse variance weighted(OR value: 1.002,95% ci: 1.0002-1.005), Simple mode(OR value: 1.007,95% ci:). MR Egger(OR value: 1.0050, 95% ci: 0.9958-1.0143), Weighted median(OR value: 1.0030, 95% CI: 0.9990-1.0069), Inverse variance weighted(OR value: 1.0026, 95% 95%CI ：0.9999-1.0053), Simple mode(OR value: 1.0034, 95% CI: 0.9925-1.0145). Expiratory volume in 1-second (FEV1), MR Egger(OR: 1.0012, 95% CI: 0.9928-1.0097) between predicted and ovarian cancer, Weighted median(OR: 1.0035, 95% CI: 0.9993-1.0076). Inverse variance weighted(OR value: 1.0038,95% ci: 1.0009-1.0066), Simple mode(OR value: 1.0040,95% ci: 0.9926-1.0156), Weighted mode(OR value: 1.0065,95%) There are no abnormal variables in forced vital capacity, forced expiratory volume in 1-second (fev1) best measure and expiratory volume in 1-second (fev1), and the predicted heterogeneity test, and the sensitivity analysis shows that it is robust. No pleiotropic effects were found (the intercept terms of MR-Egger regression were -0.0000053, -0.0000089 and -0.0000090(P=0.6015, 0.5957 and 0.5348). Conclusion: MR analysis provides strong evidence that forced vital capacity, forced expiratory volume in 1-second (FEV1) best measure and expiratory volume in 1-second (FEV1) are risk factors for ovarian cancer.