Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data

@article{Wang2016EfficientAA,
  title={Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data},
  author={Lingfei Wang and Tom Michoel},
  journal={PLoS Computational Biology},
  year={2016},
  volume={13}
}
Mapping gene expression as a quantitative trait using whole genome-sequencing and transcriptome analysis allows to discover the functional consequences of genetic variation. We developed a novel method and ultra-fast software Findr for higly accurate causal inference between gene expression traits using cis-regulatory DNA variations as causal anchors, which improves current methods by taking into consideration hidden confounders and weak regulations. Findr outperformed existing methods on the… 
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