Molecular mechanisms underlying the genetic architecture of complex traits
Abstract/Contents
- Abstract
- This thesis focuses on using genetics to better connect complex trait associations to the molecular and cellular processes they affect. Rather than performing top-down post-genome wide association studies (post-GWAS), which has become increasingly popular in recent years as a way to dissect the factors contributing to individual risk loci, we focus here on bottom-up post-GWAS: can we use traits for which the molecular processes governing their concentrations are already well understood, and identify variants affecting them which then might lead to disease or other downstream effects? I hope that you believe this is possible, and useful, in reading these selected works which compose my dissertation.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Sinnott-Armstrong, Nasa |
|---|---|
| Degree supervisor | Pritchard, Jonathan (Jonathan K.) |
| Thesis advisor | Pritchard, Jonathan (Jonathan K.) |
| Thesis advisor | Altman, Russ |
| Thesis advisor | Assimes, Themistocles, 1970- |
| Thesis advisor | Montgomery, Stephen, 1979- |
| Degree committee member | Altman, Russ |
| Degree committee member | Assimes, Themistocles, 1970- |
| Degree committee member | Montgomery, Stephen, 1979- |
| Associated with | Stanford University, Department of Genetics |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Nasa Sinnott-Armstrong. |
|---|---|
| Note | Submitted to the Department of Genetics. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/kb673fr6775 |
Access conditions
- Copyright
- © 2022 by Nasa Sinnott-Armstrong
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...