MR_mega_run.RdFit the (environment-adjusted) meta-regression model using the normalized statistic data across all cohorts.
MR_mega_run(beta_pop, invse2_pop, cohort_count_filt, env, PCs, ncores)The estimated allelic effects of the target SNP conditioned on the SNP set across all the cohorts.
The inverse of the standard errors of the target SNP conditioned on the SNP set across all the cohorts.
The number of presence for the target SNP across all the cohorts.
The study-level environment factors across all the cohorts. Each row refers to one population and each column refers to one environment covariate. For MR-MEGA approach, env=NULL.
The axes of genetic variation, which can also be called the principal components (PCs). Each row refers to one population.
Note: Each env row and PCs row should correspond to same population.
The number of cores which would be used for running in parallel.
Output a file containing names of genetic variants, estimated coefficients, standard errors, chisq value of the association, the number of degrees of freedom of the association, p-value of the association, chisq value of the heterogeneity due to different ancestry, ndf of the heterogeneity due to different ancestry, p-value of the heterogeneity due to different ancestry, chisq value of the residual heterogeneity, ndf of the residual heterogeneity, p-value of the residual heterogeneity.