biMM: Efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements

Abstract Genetic research utilizes a decomposition of trait variances and covariances into genetic and environmental parts. Our software package biMM is a computationally efficient implementation of a bivariate linear mixed model for settings where hundreds of traits have been measured on partially overlapping sets of individuals. Availability Implementation in R freely available at www.iki.fi/mpirinen .