MatrixEpistasis exhaustively scans all pairwise genetic interactions for quantitative traits. MatrixEpistasis works on both discrete genotype and continuous imputed genotype data. MatrixEpistasis can adjust covariates for epistasis detection, such as gender, age, and population structure. The excellent timeefficiency of MatrixEpistasis is achieved by the following innovations: 1) it expresses the intensive computation in terms of large matrix inner products (notably, no matrix inverse), avoiding separately calculating each epistasis model; 2) out of all regression coefficients (including two additive terms, one interaction term and multiple covariate terms), MatrixEpistasis only calculates the test statistic for the interaction term, largely alleviating the computational complexity; 3) the resulting test statistics from MatrixEpistasis are comparable, so that MatrixEpistasis can calculate pvalues only for those exceeding the required significance level, therefore discarding a large number of incomplete beta or gamma functions.
Package details 


Author  Shijia Zhu 
Maintainer  Shijia Zhu <[email protected]> 
License  LGPL3 
Version  0.1.0 
Package repository  View on GitHub 
Installation 
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