title: Estimation and Testing of Gene Expression Heterosis.
abstract: Heterosis, also known as the hybrid vigor, occurs when the mean phenotype of hybrid off-spring is superior to that of its two inbred parents. The heterosis phenomenon is extensively utilized in agriculture though the molecular basis is still unknown. In an effort to understand phenotypic heterosis at the molecular level, researchers have begun to compare expression levels of thousands of genes between parental inbred lines and their hybrid offspring to search for evidence of gene expression heterosis. Standard statistical approaches for separately analyzing expression data for each gene can produce biased and highly variable estimates and unreliable tests of heterosis. To address these shortcomings, we develop a hierarchical model to borrow information across genes. Using our modeling framework, we derive empirical Bayes estimators and an inference strategy to identify gene expression heterosis. Simulation results show that our proposed method outperforms the more traditional strategy used to detect gene expression heterosis. This article has supplementary material online.
authors.affiliation: Department of Statistics, University of Missouri at Columbia, Columbia, MO 65211, USA.
authors.forename: Tieming
authors.initials: T
authors.lastname: Ji
authors.affiliation: Department of Statistics, Iowa State University, Ames, IA 50011, USA.
authors.forename: Peng
authors.initials: P
authors.lastname: Liu
authors.affiliation: Department of Statistics, Iowa State University, Ames, IA 50011, USA.
authors.forename: Dan
authors.initials: D
authors.lastname: Nettleton
keywords: Empirical Bayes; Gene expression; Heterosis; Hierarchical model; Microarray; Mixture model