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  "Description": "A phenotype-aware algorithm for resolving cryptic\nrelatedness in genetic studies. It removes related individuals\nbased on kinship or identity-by-descent (IBD) scores while\nprioritizing subjects with phenotypes of interest. This\napproach helps maximize the retention of informative subjects,\nparticularly for rare or valuable traits, and improves\nstatistical power in genetic and epidemiological studies. KDPS\nsupports both categorical and quantitative phenotypes,\ncomposite scoring, and customizable pruning strategies using a\nfuzziness parameter. Benchmark results show improved phenotype\nretention and high computational efficiency on large-scale\ndatasets like the UK Biobank. Methods used include Manichaikul\net al. (2010) <doi:10.1093/bioinformatics/btq559> for kinship\nestimation, Purcell et al. (2007) <doi:10.1086/519795> for IBD\nestimation, and Bycroft et al. (2018)\n<doi:10.1038/s41586-018-0579-z> for UK Biobank data reference.",
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