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SNPassoc (version 1.9-2)

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

1,899

Version

1.9-2

License

GPL (>= 2)

Maintainer

Juan Gonzalez

Last Published

April 23rd, 2014

Functions in SNPassoc (1.9-2)

is.Monomorphic

Check whether a SNP is Monomorphic
haplo.interaction

Haplotype interaction with a covariate
permTest

Permutation test analysis
tableHWE

Test for Hardy-Weinberg Equilibrium
intervals

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

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

Plot of missing genotypes
plot.WGassociation

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

Convert columns in a dataframe to class 'snp'
getSignificantSNPs

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

SNPs in a case-control study
sortSNPs

Sort a vector of SNPs by genomic position
make.geno

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

max-statistic for a 2x3 table
qqpval

Functions for inspecting population substructure
maxstat

max-statistic for a 2x3 table
snp

SNP object
odds

Extract odds ratios, 95% CI and pvalues
GenomicControl

Population substructure
interactionPval

Two-dimensional SNP analysis for association studies
Table.mean.se

Descriptive sample size, mean, and standard error
Table.N.Per

Descriptive sample size and percentage
HapMap

SNPs from HapMap project
int

Identify interaction term
scanWGassociation

Whole genome association analysis
WGassociation

Whole genome association analysis
SNPassoc-internal

Internal SNPstat functions
Bonferroni.sig

Bonferroni correction of p values
association

Association analysis between a single SNP and a given phenotype