This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see GENESIS.
Bioconductor version: 3.7
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.
Author: Matthew P. Conomos, Stephanie M. Gogarten, Lisa Brown, Han Chen, Ken Rice, Tamar Sofer, Timothy Thornton, Chaoyu Yu
Maintainer: Stephanie M. Gogarten <sdmorris at uw.edu>, Matthew P. Conomos <mconomos at uw.edu>
Citation (from within R,
enter citation("GENESIS")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GENESIS")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GENESIS")
HTML | R Script | Genetic Association Testing using the GENESIS Package |
HTML | R Script | Population Structure and Relatedness Inference using the GENESIS Package |
Reference Manual | ||
Text | NEWS |
biocViews | BiocViews, DimensionReduction, GeneticVariability, Genetics, GenomeWideAssociation, PrincipalComponent, QualityControl, SNP, Software, StatisticalMethod |
Version | 2.10.1 |
In Bioconductor since | BioC 3.1 (R-3.2) (3.5 years) |
License | GPL-3 |
Depends | |
Imports | Biobase, BiocGenerics, GWASTools, gdsfmt, GenomicRanges, graph, IRanges, S4Vectors, SeqArray, SeqVarTools, dplyr, graphics, grDevices, Matrix, methods, stats, utils |
LinkingTo | |
Suggests | CompQuadForm, logistf, poibin, survey, SNPRelate, GWASdata, testthat, knitr |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | GENESIS_2.10.1.tar.gz |
Windows Binary | GENESIS_2.10.1.zip |
Mac OS X 10.11 (El Capitan) | GENESIS_2.10.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GENESIS |
Source Repository (Developer Access) | git clone [email protected]:packages/GENESIS |
Package Short Url | http://bioconductor.org/packages/GENESIS/ |
Package Downloads Report | Download Stats |
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