Pick up the pieces : combining information from multiple genetic loci
Abstract/Contents
- Abstract
- In this dissertation, I consider problems related to the accumulation of information from many genetic loci. The first chapter gives mathematical bounds on Wright's fixation index, a statistic used to measure the degree of genetic differentiation between populations at a genetic locus, in terms of two statistics that measure the degree of genetic variability at a locus: the frequency of the most frequent allele and the homozygosity in the total population. In the second and third chapters, I develop a model for understanding the relationship between neutral genetic divergence and differentiation between populations on neutral quantitative traits, finding, in agreement with previous work using different models, that the degree of differentiation on a neutral quantitative trait is expected to reflect the degree of differentiation at a single neutral locus. The second chapter uses a model based on the simple model for allele-frequency difference of Edwards (2003), and the third chapter extends the model to consider arbitrary allele-frequency distributions and arbitrary ploidy. Chapter four contains a review of some choice results from population genetics relevant to the design and interpretation of genetic association studies, in which one seeks to uncover genetic loci statistically associated with a disease or trait. The fifth and six chapters consider population-genetic properties of the CODIS (Combined DNA Index System) markers, which are used for forensic identification in the United States. In the fifth chapter, we consider the degree of information about population membership available at the CODIS loci. We find that the degree of population information at the CODIS loci is typical for tetranucleotide-repeat microsatellite markers and that across a broad sample of markers, population-membership information is correlated with the degree of heterozygosity at the loci considered. In the sixth chapter, I propose a method for linking genetic datasets when individual identifiers are unavailable and apply the method to a set of CODIS genotypes from a worldwide sample.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2016 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Edge, Michael Donald |
|---|---|
| Associated with | Stanford University, Department of Biology. |
| Primary advisor | Rosenberg, Noah |
| Thesis advisor | Rosenberg, Noah |
| Thesis advisor | Feldman, Marcus W |
| Thesis advisor | Petrov, Dmitri Alex, 1969- |
| Advisor | Feldman, Marcus W |
| Advisor | Petrov, Dmitri Alex, 1969- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Michael Donald Edge. |
|---|---|
| Note | Submitted to the Department of Biology. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Michael Donald Edge
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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