boostSeq: Optimized GWAS cohort subset selection for resequencing studies
Version 1.0

This package contains functionality to select a subsample of a genotyped cohort e.g. from a GWAS that is preferential for resequencing under the assumtion that causal variants share a haplotype with the risk allele of associated variants. The subsample is selected such that is contains risk alleles at maximum frequency for all SNPs specified. Phentoypes can also be included as additional variables to obtain a higher fraction of extreme phenotypes. An arbitrary number of SNPs and/or phentoypes can be specified for enrichment in a single subsample.

Authorc(person("Milan Hiersche", "Developer", email = "mihi@uni-muenster.de")
Date of publication2012-08-11 15:09:33
MaintainerMilan Hiersche <mihi@uni-muenster.de>
LicenseGPL (>= 2)
Version1.0
URL http://www.r-project.org
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("boostSeq")

Popular man pages

alleleEnrichment: Select a Subsample with Optimized Allele Frequencies from...
getSnpWeights: Extract p-value weights from a GWAS resultfile
See all...

All man pages Function index File listing

Man pages

alleleEnrichment: Select a Subsample with Optimized Allele Frequencies from...
getSnpWeights: Extract p-value weights from a GWAS resultfile

Functions

Files

MD5
man
man/alleleEnrichment.Rd
man/getSnpWeights.Rd
R
R/alleleEnrichment.data.R
R/getGenotypes.R
R/alleleEnrichment.R
R/alleleEnrichment.perm.R
R/alleleEnrichment.lp.R
R/getSnpWeights.R
NAMESPACE
inst
inst/extdata
inst/extdata/example.ped
inst/extdata/example.pheno
inst/extdata/example.map
inst/extdata/example.gwas
DESCRIPTION
boostSeq documentation built on May 20, 2017, 3:29 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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