A new statistical framework for genetic pleiotropic analysis of high dimensional phenotype data

@article{Wang2016ANS,
  title={A new statistical framework for genetic pleiotropic analysis of high dimensional phenotype data},
  author={Panpan Wang and Mohammad Lutfur Rahman and Li Jin and Momiao Xiong},
  journal={BMC Genomics},
  year={2016},
  volume={17}
}
BackgroundThe widely used genetic pleiotropic analyses of multiple phenotypes are often designed for examining the relationship between common variants and a few phenotypes. They are not suited for both high dimensional phenotypes and high dimensional genotype (next-generation sequencing) data.To overcome limitations of the traditional genetic pleiotropic analysis of multiple phenotypes, we develop sparse structural equation models (SEMs) as a general framework for a new paradigm of genetic… 
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