@article {Pirinen087932, author = {Matti Pirinen and Christian Benner and Pekka Marttinen and Marjo-Riitta J{\"a}rvelin and Manuel A. Rivas and Samuli Ripatti}, title = {biMM: Efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements}, elocation-id = {087932}, year = {2016}, doi = {10.1101/087932}, publisher = {Cold Spring Harbor Laboratory}, 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.}, URL = {https://www.biorxiv.org/content/early/2016/11/15/087932}, eprint = {https://www.biorxiv.org/content/early/2016/11/15/087932.full.pdf}, journal = {bioRxiv} }