A computational investigation of Doberman dilated cardiomyopathy
Abstract
Details
- Title: Subtitle
- A computational investigation of Doberman dilated cardiomyopathy
- Creators
- Alex Polenberg
- Contributors
- Colleen C Mitchell (Advisor)Bruce Ayati (Committee Member)Isabel K Darcy (Committee Member)Chad Eric Grueter (Committee Member)Yangyang Wang (Committee Member)
- Resource Type
- Dissertation
- Degree Awarded
- Doctor of Philosophy (PhD), University of Iowa
- Degree in
- Applied Mathematical and Computational Sciences
- Date degree season
- Spring 2023
- DOI
- 10.25820/etd.007219
- Publisher
- University of Iowa
- Number of pages
- xii, 95 pages
- Copyright
- Copyright 2023 Alex Polenberg
- Comment
This thesis has been optimized for improved web viewing. If you require the original version, contact the University Archives at the University of Iowa: https://www.lib.uiowa.edu/sc/contact/.
- Language
- English
- Date submitted
- 04/24/2023
- Date approved
- 05/09/2023
- Description illustrations
- color illustrations
- Description bibliographic
- Includes bibliographical references (pages 90-95).
- Public Abstract (ETD)
Doberman Pinschers are famous for their intelligence and loyalty. Unfortunately, they are also known for their susceptibility to a specific form of heart disease: dilated cardiomyopathy (DCM). Genetics play a key role in its development; as such, we have two goals in this thesis. First, we aim to identify potential genes associated with Doberman DCM. Then we study one such association reported in the literature using dynamical systems modeling.
We begin with a genome-wide association study (GWAS) using genetic data obtained through collaboration with the Doberman Diversity Project. We present our sampling methodologies in detail; in addition, we present each piece of the data cleaning pipeline before discussing the association tests themselves. After that, we turn our attention to a previously reported association. Specifically, a 2012 GWAS detected an association between Doberman DCM and a mutation in the gene encoding for the enzyme pyruvate dehydrogenase kinase 4 (PDK4). We present a preliminary model describing the behavior of PDK4, explore various aspects of the resulting system, and discuss its biological relevance.
- Academic Unit
- Craniofacial Anomalies Research Center; Interdisciplinary Graduate Program in Applied Mathematical & Computational Sciences
- Record Identifier
- 9984425389802771