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.
Pirinen, M., Benner, C., Marttinen, P., Järvelin, M-R., Rivas, M. A., & Ripatti, S. (2017). biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements. Bioinformatics, 33(15), 2405-2407. https://doi.org/10.1093/bioinformatics/btx166