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  "Title": "GENetic EStimation and Inference in Structured samples\n(GENESIS): Statistical methods for analyzing genetic data from\nsamples with population structure and/or relatedness",
  "Version": "2.43.0",
  "Date": "2025-01-31",
  "Authors@R": "c(\nperson(c(\"Matthew\", \"P.\"), \"Conomos\", role = c(\"aut\")),\nperson(c(\"Stephanie\", \"M.\"), \"Gogarten\", email = \"sdmorris@uw.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Lisa\", \"Brown\", role = \"aut\"),\nperson(\"Han\", \"Chen\", role = \"aut\"),\nperson(\"Thomas\", \"Lumley\", role = \"aut\"),\nperson(\"Kenneth\", \"Rice\", role = \"aut\"),\nperson(\"Tamar\", \"Sofer\", role = \"aut\"),\nperson(\"Adrienne\", \"Stilp\", role = \"aut\"),\nperson(\"Timothy\", \"Thornton\", role = \"aut\"),\nperson(\"Chaoyu\", \"Yu\", role = \"aut\"))",
  "Description": "The GENESIS package provides methodology for estimating,\ninferring, and accounting for population and pedigree structure\nin genetic analyses.  The current implementation provides\nfunctions to perform PC-AiR (Conomos et al., 2015, Gen Epi) and\nPC-Relate (Conomos et al., 2016, AJHG). PC-AiR performs a\nPrincipal Components Analysis on genome-wide SNP data for the\ndetection of population structure in a sample that may contain\nknown or cryptic relatedness. Unlike standard PCA, PC-AiR\naccounts for relatedness in the sample to provide accurate\nancestry inference that is not confounded by family structure.\nPC-Relate uses ancestry representative principal components to\nadjust for population structure/ancestry and accurately\nestimate measures of recent genetic relatedness such as kinship\ncoefficients, IBD sharing probabilities, and inbreeding\ncoefficients. Additionally, functions are provided to perform\nefficient variance component estimation and mixed model\nassociation testing for both quantitative and binary\nphenotypes.",
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      "page": "GENESIS-package",
      "title": "GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness",
      "topics": [
        "GENESIS-package",
        "GENESIS"
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      "title": "Genotype Association Testing with Mixed Models",
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        "assocTestSingle,SeqVarIterator-method",
        "assocTestSingle-methods"
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      "title": "Return the effect allele for association testing",
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        "fitNullModel",
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        "fitNullModel,data.frame-method",
        "fitNullModel,GenotypeData-method",
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