dkainer/BLUPGA: BLUP|GA genomic prediction model

Implements the BLUP|GA genomic prediction model, AKA "GBLUP given Genetic Architecture". This model uses GBLUP but modifies the G-matrix by weighting SNPs that the user deems are more important (i.e. part of the architecture of the trait being analysed). A key problems of GBLUP is that it assumes the infinitessimal model where all SNPs are treated the same and are assumed to explain an equally small proportion of trait genetic variance. This is a biologically incorrect assumption for many traits. BLUP|GA helps resolve this. See Zhang Z, Ober U, Erbe M, Zhang H, Gao N, He J, Li J, Simianer H (2014), Improving the accuracy of whole genome prediction for complex traits using the results of genome wide association studies. PLoS ONE 9: e93017

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dkainer/BLUPGA documentation built on March 22, 2018, 1:10 a.m.