Causal relationship between low-density lipoprotein cholesterol and asthma based on two-sample Mendelian randomization method
Objective To investigate the causal relationship between LDL-C and asthma based on Mendelian randomization(MR)method using single nucleotide polymorphism(SNP)as an instrumental variable.Methods Based on gene data from genome-wide association studies(GW AS)and the MR base platform,the largest sample size of LDL-C and GW AS data for asthma from March 10,2020 to March 10,2023 were obtained,and SNPs associated with LDL-C were screened when P＜5 × 10-8.The relationship between LDL-C and asthma risk was analyzed by inverse variance weighted analysis(IVW),weighted median method(WME),weighted model,simple model and MR-Egger method,and forest plots and scatter plots of SNP-related LDL-C and asthma risk were drawn.Results None of the 301 screened SNPs had polymorphism with asthma(MR-Egger regression intercept was 0.007).All the regression results showed that LDL-C was a risk factor for asthma[MR-Egger regression OR=1.609(95％CI 1.228-2.107),WME OR=1.448(95％CI 1.266-1.656),IVW OR=1.499(95％CI 1.348-1.667),weighted model OR=1.462(95％CI 1.212-1.763),simple model OR=1.374(95％CI 1.024-1.846)].The MR-Egger regression results showed that the statistic Q=1 095.819(P＜0.001),indicating the heterogeneity among SNPs,so the random effects IVW model was selected.Conclusion There is a causal relationship between LDL-C and asthma.The higher the LDL-C level is,the greater the risk of asthma development is.
万方数据
维普
