Exploration on the association between green tea intake and consumption frequency with the risk of developing diabetes mellitus type 2 using Mendelian randomization
Objective To explore the causal relationship between green tea intake and consumption frequency and diabetes mellitus type 2 using the two-sample Mendelian randomization,aiming to provide more robust evidence for their potential association.Methods Using GWAS database data,inverse variance weighted(IVW)was used as the main analysis method,supplemented by MR-Egger regression method and weighted median method.In sensitivity analysis,Cochran's Q was used to test for heterogeneity testing,and pleiotropy was assessed using the MR-Egger regression method intercept and MR-PRESSO method.Results The IVW showed a significant negative causal association between green tea intake and diabetes mellitus type 2(OR=0.996,95％CI:0.994-0.999,P=0.005).The weighted median method(OR=0.875,95％CI:0.773-0.991,P=0.036)and MR-Egger regression method were consistent with IVW direction,which were(OR=0.993,95％CI:0.988-0.997,P=0.007)and(OR=0.995,95％CI:0.992-0.998,P=0.001).Similarly,green tea consumption frequency also showed a negative association with diabetes mellitus type 2(OR=0.857,95％CI:0.781-0.940,P=0.001).The weighted median method and MR-Egger regression method(OR=0.992,95％CI:0.668-1.470.P=0.972)were consistent with IVW direction,respectively.Sensitivity analysis showed that all P＞0.05 for all the selected single nucleotide polymorphisms did not have horizontal pleiotropy and heterogeneity.Reverse Mendelian randomization analysis showed no significant association be-tween diabetes mellitus type 2 and green tea intake and con-sumption frequency(P＞0.05),indicating that there was no reverse causal association between diabetes mellitus type 2 and green tea intake and consumption frequency.Conclusion Higher green tea intake and consumption frequency may be effec-tive in reducing the risk of diabetes mellitus type 2.
Green tea intakeGreen tea consumption frequencyDiabetes mellitus type 2Mendelian randomization
NETL
NSTL
万方数据
