INVESTIGATING THE GENETIC BASIS OF GENE EXPRESSION USING EQTL TECHNIQUES

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Quitadamo, A. (2018). INVESTIGATING THE GENETIC BASIS OF GENE EXPRESSION USING EQTL TECHNIQUES. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

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.

Details
Author

Quitadamo, Andrew

Title

INVESTIGATING THE GENETIC BASIS OF GENE EXPRESSION USING EQTL TECHNIQUES

Physical Description

1 online resource (83 pages) : PDF

Date

2018

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

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.

Genre

doctoral dissertations

Subjects--Topics

Bioinformatics

Degree

Ph.D.

Subject Area

Bioinformatics

Advisor(s)

Shi, Xinghua

Committee Members

Gibas, Cynthia
Guo, Jun-tao
Sung, Way
Song, Bao-Hua

Degree Note

Thesis (Ph.D.)--University of North Carolina at Charlotte, 2018.

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Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Quitadamo_uncc_0694D_11919

Permalink

http://hdl.handle.net/20.500.13093/etd:324