https://acannis.r-universe.devRecent package updates in acannisR-universehttps://github.com/acannis.pnghttps://acannis.r-universe.devFri, 26 Jun 2026 21:52:24 GMTacannis@umich.edu (Aubrey Annis)A single, phenome-wide permutation of large-scale biobank data. When a large number of phenotypes are analyzed in parallel, a single permutation across all phenotypes followed by genetic association analyses of the permuted data enables estimation of false discovery rates (FDRs) across the phenome. These FDR estimates provide a significance criterion for interpreting genetic associations in a biobank context. For the basic permutation of unrelated samples, this package takes a sample-by-variable file with ID, genotypic covariates, phenotypic covariates, and phenotypes as input. For data with related samples, it also takes a file with sample pair-wise identity-by-descent information. The function outputs a permuted sample-by-variable file ready for genome-wide association analysis. See Annis et al. (2021) <doi:10.21203/rs.3.rs-873449/v1> for details.https://github.com/r-universe/acannis/actions/runs/28268112280Fri, 26 Jun 2026 21:52:24 GMTSIP0.1.0successhttps://acannis.r-universe.devhttps://github.com/acannis/sip