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SNPassoc (version 1.8-5)

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.

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Version

Install

install.packages('SNPassoc')

Monthly Downloads

1,476

Version

1.8-5

License

GPL (>= 2)

Maintainer

Juan Gonzalez

Last Published

December 17th, 2012

Functions in SNPassoc (1.8-5)

GenomicControl

Population substructure
tableHWE

Test for Hardy-Weinberg Equilibrium
dscore

Genetic risk allele score
Table.mean.se

Descriptive sample size, mean, and standard error
SNPs

SNPs in a case-control study
HapMap

SNPs from HapMap project
is.Monomorphic

Check whether a SNP is Monomorphic
snp

SNP object
plotMissing

Plot of missing genotypes
permTest

Permutation test analysis
maxstat

max-statistic for a 2x3 table
haplo.interaction

Haplotype interaction with a covariate
inheritance

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

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

Association analysis between a single SNP and a given phenotype
LD

max-statistic for a 2x3 table
qqpval

Functions for inspecting population substructure
setupSNP

Convert columns in a dataframe to class 'snp'
interactionPval

Two-dimensional SNP analysis for association studies
scanWGassociation

Whole genome association analysis
Table.N.Per

Descriptive sample size and percentage
getSignificantSNPs

Extract significant SNPs from an object of class 'WGassociation'
make.geno

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

Sort a vector of SNPs by genomic position
plot.WGassociation

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

Identify interaction term
odds

Extract odds ratios, 95% CI and pvalues
SNPassoc-internal

Internal SNPstat functions
Bonferroni.sig

Bonferroni correction of p values
WGassociation

Whole genome association analysis