biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements

Matti Pirinen, Christian Benner, Pekka Marttinen, Marjo-Riitta Järvelin, Manuel A Rivas, Samuli Ripatti

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
112 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)2405-2407
Number of pages3
JournalBioinformatics
Volume33
Issue number15
DOIs
Publication statusPublished - 2017
MoE publication typeA1 Journal article-refereed

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