# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "GENESIS" in publications use:'
type: software
license: GPL-3.0-only
title: 'GENESIS: GENetic EStimation and Inference in Structured samples (GENESIS):
  Statistical methods for analyzing genetic data from samples with population structure
  and/or relatedness'
version: 2.35.0
doi: 10.1093/bioinformatics/btz567
identifiers:
- type: doi
  value: 10.32614/CRAN.package.GENESIS
abstract: The GENESIS package provides methodology for estimating, inferring, and
  accounting for population and pedigree structure in genetic analyses. The current
  implementation provides functions to perform PC-AiR (Conomos et al., 2015, Gen Epi)
  and PC-Relate (Conomos et al., 2016, AJHG). PC-AiR performs a Principal Components
  Analysis on genome-wide SNP data for the detection of population structure in a
  sample that may contain known or cryptic relatedness. Unlike standard PCA, PC-AiR
  accounts for relatedness in the sample to provide accurate ancestry inference that
  is not confounded by family structure. PC-Relate uses ancestry representative principal
  components to adjust for population structure/ancestry and accurately estimate measures
  of recent genetic relatedness such as kinship coefficients, IBD sharing probabilities,
  and inbreeding coefficients. Additionally, functions are provided to perform efficient
  variance component estimation and mixed model association testing for both quantitative
  and binary phenotypes.
authors:
- family-names: Gogarten
  given-names: Stephanie M.
  email: sdmorris@uw.edu
- family-names: Conomos
  given-names: Matthew P.
- family-names: Gogarten
  given-names: Stephanie M.
- family-names: Brown
  given-names: Lisa
- family-names: Chen
  given-names: Han
- family-names: Lumley
  given-names: Thomas
- family-names: Rice
  given-names: Kenneth
- family-names: Sofer
  given-names: Tamar
- family-names: Stilp
  given-names: Adrienne
- family-names: Thornton
  given-names: Timothy
- family-names: Yu
  given-names: Chaoyu
preferred-citation:
  type: article
  title: Genetic association testing using the GENESIS R/Bioconductor package
  authors:
  - family-names: Gogarten
    given-names: Stephanie M.
    email: sdmorris@uw.edu
  - family-names: Sofer
    given-names: Tamar
  - family-names: Chen
    given-names: Han
  - family-names: Yu
    given-names: Chaoyu
  - family-names: Brody
    given-names: Jennifer A.
  - family-names: Thornton
    given-names: Timothy A.
  - family-names: Rice
    given-names: Kenneth M.
  - family-names: Conomos
    given-names: Matthew P.
  year: '2019'
  journal: Bioinformatics
  doi: 10.1093/bioinformatics/btz567
repository: https://bioc.r-universe.dev
repository-code: https://github.com/UW-GAC/GENESIS
commit: 420cdc6b3050e98ecc292abac50a1914d1e7305e
url: https://github.com/UW-GAC/GENESIS
date-released: '2024-03-26'
contact:
- family-names: Gogarten
  given-names: Stephanie M.
  email: sdmorris@uw.edu