TY - JOUR T1 - biMM: Efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements JF - bioRxiv DO - 10.1101/087932 SP - 087932 AU - Matti Pirinen AU - Christian Benner AU - Pekka Marttinen AU - Marjo-Riitta Järvelin AU - Manuel A. Rivas AU - Samuli Ripatti Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/11/15/087932.abstract N2 - 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. ER -