Learn R Programming

⚠️There's a newer version (2.1-0) of this package.Take me there.

SNPassoc (version 1.8-4)

SNPs-based whole genome association studies

Description

This package carries out most common analysis when performing whole genome association studies. These analyses include descriptive statistics and exploratory analysis of missing values, calculation of Hardy-Weinberg equilibrium, analysis of association based on generalized linear models (either for quantitative or binary traits), and analysis of multiple SNPs (haplotype and epistasis analysis). Permutation test and related tests (sum statistic and truncated product) are also implemented. Max-statistic and genetic risk-allele score exact distributions are also possible to be estimated.

Copy Link

Version

Install

install.packages('SNPassoc')

Monthly Downloads

1,899

Version

1.8-4

License

GPL (>= 2)

Maintainer

Juan Gonzalez

Last Published

September 3rd, 2012

Functions in SNPassoc (1.8-4)

Table.N.Per

Descriptive sample size and percentage
SNPassoc-internal

Internal SNPstat functions
GenomicControl

Population substructure
getSignificantSNPs

Extract significant SNPs from an object of class 'WGassociation'
LD

max-statistic for a 2x3 table
int

Identify interaction term
scanWGassociation

Whole genome association analysis
inheritance

Collapsing (or recoding) genotypes into different categories (generally two) depending on a given genetic mode of inheritance
haplo.interaction

Haplotype interaction with a covariate
snp

SNP object
HapMap

SNPs from HapMap project
association

Association analysis between a single SNP and a given phenotype
sortSNPs

Sort a vector of SNPs by genomic position
plot.WGassociation

Function to plot -log p values from an object of class 'WGassociation'
setupSNP

Convert columns in a dataframe to class 'snp'
WGassociation

Whole genome association analysis
odds

Extract odds ratios, 95% CI and pvalues
intervals

Print ORs and 95% confidence intervals for an object of class 'haplo.glm'
qqpval

Functions for inspecting population substructure
permTest

Permutation test analysis
interactionPval

Two-dimensional SNP analysis for association studies
plotMissing

Plot of missing genotypes
is.Monomorphic

Check whether a SNP is Monomorphic
make.geno

Create a group of locus objects from some SNPs, assign to 'model.matrix' class.
Bonferroni.sig

Bonferroni correction of p values
dscore

Genetic risk allele score
SNPs

SNPs in a case-control study
tableHWE

Test for Hardy-Weinberg Equilibrium
maxstat

max-statistic for a 2x3 table
Table.mean.se

Descriptive sample size, mean, and standard error