RT Journal Article SR Electronic T1 biMM: Efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements JF bioRxiv FD Cold Spring Harbor Laboratory SP 087932 DO 10.1101/087932 A1 Matti Pirinen A1 Christian Benner A1 Pekka Marttinen A1 Marjo-Riitta Järvelin A1 Manuel A. Rivas A1 Samuli Ripatti YR 2016 UL http://biorxiv.org/content/early/2016/11/15/087932.abstract AB 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.