# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "kdps" in publications use:' type: software license: MIT title: 'kdps: Kinship Decouple and Phenotype Selection (KDPS)' version: 1.0.0 doi: 10.32614/CRAN.package.kdps abstract: A phenotype-aware algorithm for resolving cryptic relatedness in genetic studies. It removes related individuals based on kinship or identity-by-descent (IBD) scores while prioritizing subjects with phenotypes of interest. This approach helps maximize the retention of informative subjects, particularly for rare or valuable traits, and improves statistical power in genetic and epidemiological studies. KDPS supports both categorical and quantitative phenotypes, composite scoring, and customizable pruning strategies using a fuzziness parameter. Benchmark results show improved phenotype retention and high computational efficiency on large-scale datasets like the UK Biobank. Methods used include Manichaikul et al. (2010) for kinship estimation, Purcell et al. (2007) for IBD estimation, and Bycroft et al. (2018) for UK Biobank data reference. authors: - family-names: Gu given-names: Wanjun email: wanjun.gu@ucsf.edu orcid: https://orcid.org/0000-0002-7342-7000 repository: https://ucsd-salem-lab.r-universe.dev repository-code: https://github.com/UCSD-Salem-Lab/kdps commit: 98ccee111ba1e75d124df44f498a5345a7156730 url: https://github.com/UCSD-Salem-Lab/kdps date-released: '2026-03-05' contact: - family-names: Gu given-names: Wanjun email: wanjun.gu@ucsf.edu orcid: https://orcid.org/0000-0002-7342-7000