PT - JOURNAL ARTICLE AU - Matti Pirinen AU - Christian Benner AU - Pekka Marttinen AU - Marjo-Riitta Järvelin AU - Manuel A. Rivas AU - Samuli Ripatti TI - biMM: Efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements AID - 10.1101/087932 DP - 2016 Jan 01 TA - bioRxiv PG - 087932 4099 - http://biorxiv.org/content/early/2016/11/15/087932.short 4100 - http://biorxiv.org/content/early/2016/11/15/087932.full 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.