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SAIGE

SAIGE is an R-package for GWAS and rare-variant test with adjusting for sample relatedness and case-control imbalance. It can analyze very large sample data (ex. ~400,000 samples in UKBiobank) and produce accurate p-values by using saddlepoint approximation. 
 

  • Github: link

  • For the UKBiobank analysis results, see Resources page

SKAT

SKAT is an R-package for rare variant association analysis. It can carry out burden tests, SKAT, SKAT-O, and combined tests of common and rare variants with adjusting for covariates and kinship. For binary traits, it can calculate p-values using resampling and asymptotic-based adjustment methods. It also has functions for sample size and power calculations.

  • Download (CRAN): link  

  • SKAT and MetaSKAT user group: link 

  • Github: link

MetaSKAT

MetaSKAT is an R package for gene-based meta-analysis across studies. It can carry out a meta-analysis of SKAT, SKAT-O, and burden tests with individual-level genotype data or gene-level summary statistics.
 

  • Download (CRAN): link  

  • SKAT and MetaSKAT user group: link 

iECAT

iECAT is an R-package to test for single variant and gene/region-based associations using external control samples.
 

  • Download (CRAN): link  

  • Example dataset: link

  • Github: link

SPAtest

SPAtest is an R-package to perform score test for associations between genetic variants and binary traits using saddlepoint approximation. The methods implemented in the package (FastSPA) can accurately calculate p-values even when the case-control ratio is extremely unbalanced. 
 

  • Download (CRAN): link  

JointScoreTest

JointScoreTest is an R-package to perform a joint test of fixed and random effects in the Generalized linear mixed model framework.
 

  • Download Package Source: link

TransMeta & TransMetaRare

TransMeta is an R-package to compute single SNP p-values of trans-ethnic meta-analysis using a kernel-based random effect model. This is an early version, and we will keep updating it.  We have recently extended it to gene-based rare-variant test (Transmeta-rare). The packages can be downloaded from the following github.
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  • TransMeta Github: link

  • TransMeta-Rare Github: link

EigenCorr

EigenCorr is an R-package to compute p-values of principal components (PCs) based on EigenCorr1, EigenCorr2 and Tracy-Widom methods. You need PCs, outcome phenotypes and all eigenvalues to run EigenCorr. 
 

  • Download package source: link  

  • Manual: link 

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