eQTL Mapping Using RNA-seq Data

Stat Biosci. 2013 May 1;5(1):198-219. doi: 10.1007/s12561-012-9068-3.

Abstract

As RNA-seq is replacing gene expression microarrays to assess genome-wide transcription abundance, gene expression Quantitative Trait Locus (eQTL) studies using RNA-seq have emerged. RNA-seq delivers two novel features that are important for eQTL studies. First, it provides information on allele-specific expression (ASE), which is not available from gene expression microarrays. Second, it generates unprecedentedly rich data to study RNA-isoform expression. In this paper, we review current methods for eQTL mapping using ASE and discuss some future directions. We also review existing works that use RNA-seq data to study RNA-isoform expression and we discuss the gaps between these works and isoform-specific eQTL mapping.

Keywords: Allele-specific gene expression (ASE); Gene expression quantitative trait locus (eQTL); RNA isoform; RNA-seq.