Deciphering the causal relationship between blood pressure and regional white matter integrity: a two-sample Mendelian randomization study

Table S1. A list of 39 regional white matter (WM) integrity measured by fractional antitropy (FA). Table S2. Results of two-sample t-test for each confounder separately comparing the FA values of those with versus without missing confounder values (univariate version of little MCAR test). Table S3. Numbers of candidate instrumental variables (IVs) determined at each step and numbers of significant causal effects detected implemented with our statistical method by separately using different LD clumping settings. Table S4. Self-report neurological characteristics of UK Biobank's participants from two independent association sample sets for the two-sample Mendelian randomization (MR) analysis. Table S5. Numbers of candidate instrumental variables (IVs) determined at each step of our statistical method by separately using UK Biobank (UKB) GWAS and existing meta-analyzed GWAS. Table S6. Gene annotations for determined valid instrumental variables (IVs) carried into the two-sample Mendelian Randomization (MR) analysis by separately using UK Biobank (UKB) GWAS and existing meta-analyzed GWAS. Table S7. Results of association analysis and Mendelian Randomization analysis (implemented with generalized version of inverse-variance weighted (gen-IVW) approach) in the study samples. Table S8. Results of alternative Mendelian randomization (MR) approach and sensitivity analyses by using data from UK Biobank (UKB) cohort. Table S9. Results of adaptively weighted (AW) Fisher's method and mendelian randomization analysis implemented with a generalized version of inverse-variance weights method (gen-IVW) Table S10. Results and numbers of candidate instrumental variables (IVs) in each step of our two reverse two-sample Mendelian Randomization (MR) analyses using UK Biobank (UKB) cohort. Supplmentary File. Results of leave-one-out analyses STROBE-MR checklist. STrengthening the Reporting of OBservational studies in Epidemiology - Molecular Epidemiology (STROBE-ME) checklist