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

@inproceedings{Liu2014PenalizedML,
  title={Penalized multivariate linear mixed model for longitudinal genome-wide association studies},
  author={Jin Liu and Jian Huang and Shuangge Ma},
  booktitle={BMC proceedings},
  year={2014}
}
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 the SNPs into groups according to the genes they belong to and score them using weighted sum statistics. We propose a penalized approach for genetic variant selection at the gene level. The overall… CONTINUE READING