Package: SIP Type: Package Title: Single-Iteration Permutation for Large-Scale Biobank Data Version: 0.1.0 Authors@R: c(person("Aubrey", "Annis", role = c("aut", "cre"), email = "acannis@umich.edu")) Description: 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) for details. URL: https://github.com/acannis/SIP BugReports: https://github.com/acannis/SIP/issues License: MIT + file LICENSE Encoding: UTF-8 LazyData: true Depends: R (>= 3.5) Imports: stats, data.table, ggplot2 RoxygenNote: 7.3.2 Suggests: testthat (>= 3.0.0) Config/testthat/edition: 3 Repository: https://acannis.r-universe.dev Date/Publication: 2026-06-26 21:52:24 UTC RemoteUrl: https://github.com/acannis/sip RemoteRef: HEAD RemoteSha: 434de59a11d602d83f1394b492fa7dd8926e3833 NeedsCompilation: no Packaged: 2026-06-26 22:14:08 UTC; root Author: Aubrey Annis [aut, cre] Maintainer: Aubrey Annis