Methods and applications of computation in complex trait evolution and associated fields
Abstract/Contents
- Abstract
- As evolution targets traits relevant to fitness, by studying the evolution of complex traits, we can more easily discover the mechanisms behind phenotypic variation in humans. I present a series of projects using these methods to understand the landscape of human evolution in the past 50 thousand years. First, I discuss a method and applications for identifying signatures of selection in the most recent past. Over just the last 2000 years we detect signals of evolution in anthropometric (body measurements) and other phenotypic traits, suggesting the continued alteration of complex polygenic traits by selection. Second, I present work understanding the impact of novel variation with separate history -- derived in Neanderthals, now present in modern-day humans -- on tissue development and gene regulation. Finally, I discuss applications of these methods in alternative fields, including bibliometrics and quantitative behavior; I apply these techniques to study scientific history, and to measure subtle disparities and differences in gendered behaviors of scientists.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Telis, Natalie |
|---|---|
| Associated with | Stanford University, Department of Biomedical Informatics. |
| Primary advisor | Pritchard, Jonathan D |
| Thesis advisor | Pritchard, Jonathan D |
| Thesis advisor | Altman, Russ |
| Thesis advisor | Petrov, Dmitri Alex, 1969- |
| Thesis advisor | Rosenberg, Noah |
| Advisor | Altman, Russ |
| Advisor | Petrov, Dmitri Alex, 1969- |
| Advisor | Rosenberg, Noah |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Natalie Telis. |
|---|---|
| Note | Submitted to the Department of Biomedical Informatics. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Natalie Telis
- License
- This work is licensed under a Creative Commons Attribution Non Commercial Share Alike 3.0 Unported license (CC BY-NC-SA).
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