Literature DB >> 25435758

Estimation and Testing of Gene Expression Heterosis.

Tieming Ji1, Peng Liu2, Dan Nettleton2.   

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.

Entities:  

Keywords:  Empirical Bayes; Gene expression; Heterosis; Hierarchical model; Microarray; Mixture model

Year:  2014        PMID: 25435758      PMCID: PMC4244911          DOI: 10.1007/s13253-014-0173-2

Source DB:  PubMed          Journal:  J Agric Biol Environ Stat        ISSN: 1085-7117            Impact factor:   1.524


  18 in total

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  2 in total

1.  Empirical Bayes analysis of RNA-seq data for detection of gene expression heterosis.

Authors:  Jarad Niemi; Eric Mittman; Will Landau; Dan Nettleton
Journal:  J Agric Biol Environ Stat       Date:  2015-12       Impact factor: 1.524

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

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Journal:  BMC Bioinformatics       Date:  2019-10-28       Impact factor: 3.169

  2 in total

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