Dissertation/Thesis Abstract

Investigating the Genetic Basis of Gene Expression Using EQTL Techniques
by Quitadamo, Andrew, Ph.D., The University of North Carolina at Charlotte, 2018, 84; 10979471
Abstract (Summary)

With advances in genome sequencing technology, datasets with large sample sizes can be generated relatively quickly and cheaply, especially compared to the past decade or so. We can utilize this data to analyze the associations between genetic variants and gene expression, and how that in turn relates to specific phenotypes. We will explore the impact of structural variants (SVs) on gene expression and microRNA expression in healthy individuals. This dissertation is an application of expression quantitative trait loci (eQTL) analysis techniques on several of these datasets, as well as a description of an eQTL analysis pipeline software package.

Indexing (document details)
Advisor: Shi, Xinghua
Commitee: Gibas, Cynthia, Guo, Jun-tao, Song, Bao-Hua, Sung, Way
School: The University of North Carolina at Charlotte
Department: Bioinformatics
School Location: United States -- North Carolina
Source: DAI-B 80/03(E), Dissertation Abstracts International
Subjects: Bioinformatics
Keywords: Genome sequencing technology, MicroRNA, Structural variants
Publication Number: 10979471
ISBN: 978-0-438-66821-8
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