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SNPassoc (version 1.4-4)

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.

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Version

Install

install.packages('SNPassoc')

Monthly Downloads

1,476

Version

1.4-4

License

GPL version 2 or newer

Maintainer

Juan Gonzalez

Last Published

December 14th, 2022

Functions in SNPassoc (1.4-4)

snp

SNP object
SNPassoc-internal

Internal SNPstat functions
tableHWE

Test for Hardy-Weinberg Equilibrium
WGassociation

Whole genome association analysis
make.geno

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

Bonferroni correction of p values
scanWGassociation

Whole genome association analysis
permTest

Permutation test analysis
setupSNP

Convert columns in a dataframe to class 'snp'
WGstats

Statistics for an object of class 'WGassociation'
HapMap

SNPs from HapMap project
Table.N.Per

Descriptive sample size and percentage
plot.WGassociation

Function to plot -log p values from an object of class 'WGassociation'
Table.mean.se

Descriptive sample size, mean, and standard error
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
sortSNPs

Sort a vector of SNPs by genomic position
intervals

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

Check whether a SNP is Monomorphic
getSignificantSNPs

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

Identify interaction term
association

Association analysis between a single SNP and a given phenotype
plotMissing

Plot of missing genotypes
interactionPval

Two-dimensional SNP analysis for association studies
SNPs

SNPs in a case-control study