Modeling allele-specific expression at the gene and SNP levels simultaneously by a Bayesian logistic mixed regression model.

We will show that the proposed method exhibits improved control of the false discovery rate and improved power over existing methods when SNP variation and biological variation are present. Besides, our method also maintains low computational requirements that allows for whole genome analysis.