SNPs-Based Whole Genome Association Studies

Functions to perform most of the common analysis in genome association studies are implemented. 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. The methods are described in Gonzalez JR et al., 2007 . This version includes internal copies of functions from the archived 'haplo.stats' package to maintain functionality.


SNPassoc

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.

Reference manual

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install.packages("SNPassoc")

2.3.1 by Dolors Pelegri, 6 months ago


https://github.com/isglobal-brge/SNPassoc


Browse source code at https://github.com/cran/SNPassoc


Authors: Victor Moreno [aut] , Juan R Gonzalez [aut] , Dolors Pelegri [aut, cre] (ORCID:


Documentation:   PDF Manual  


GPL (>= 2) license


Imports mvtnorm, parallel, survival, tidyr, plyr, ggplot2, poisbinom, rms, methods

Suggests testthat, knitr, rmarkdown, biomaRt, VariantAnnotation, GenomicRanges, IRanges, S4Vectors, org.Hs.eg.db, TxDb.Hsapiens.UCSC.hg19.knownGene


Suggested by gaawr2.


See at CRAN