Penalized multivariate linear mixed model for longitudinal genome-wide association studies

We consider analysis of Genetic Analysis Workshop 18 data, which involves multiple longitudinal traits and dense genome-wide single-nucleotide polymorphism (SNP) markers. We use a multivariate linear mixed model to account for the covariance of random effects and multivariate residuals. We divide th...

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Bibliographic Details
Main Authors: Liu, Jin, Huang, Jian, Ma, Shuangge
Format: Online
Language:English
Published: BioMed Central 2014
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143695/