eQTL and directed graphical model

Wei Sun, Min Jin Ha

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Gene expression quantitative trait loci (eQTL) are genetic loci that are associated with gene expression traits. The study of the eQTL, or the genetic basis of gene expression variation, not only improves our understanding of gene expression regulation but also brings insights on the functional roles of genetic variations that influence phenotypic outcomes, such as complex human diseases. In contrast to genome-wide association studies, where the signal-to-noise ratio is often low, the eQTLs often have stronger influence on gene expression variation, and hundreds or thousands of eQTLs may be recovered. We conjecture that one of the major applications of eQTL findings is to construct directed graphical models of gene expression data. In this chapter, we review the methods for eQTL mapping, constructing directed graphical models, and the approaches to construct directed graphical models using eQTL data.

Original languageEnglish (US)
Title of host publicationIntegrating Omics Data
PublisherCambridge University Press
Pages271-290
Number of pages20
ISBN (Electronic)9781107706484
ISBN (Print)9781107069114
DOIs
StatePublished - Jan 1 2015

ASJC Scopus subject areas

  • General Medicine

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