Genetic and regulatory variation across diverse human populations

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Abstract/Contents

Abstract
One of the biggest challenges in the field of genetics currently is to identify genetic variation that influences human phenotypes, and to elucidate the mechanism by which these variants act. This thesis provides insights into technological biases in detecting diverse genetic variation, explores how regulatory variation differs across divergent human populations, and assesses the genetic architecture and evolutionary adaptation of pigmentation variability in one of the oldest modern human populations. The chapters of this thesis apply population genetic principles to provide a better mechanistic understanding of the forces that shape phenotypic diversity across humans. Chapter 2 evaluates current array design strategies for genotype imputation using differing platforms, methodologies, and across different 1000 Genomes populations. Chapter 3 assesses transcriptome variation across 7 populations from the Human Genome Diversity Project (HGDP) in lymphoblastoid cell lines. Chapter 4 explores the genetic architecture and evolutionary history of lightened skin pigmentation in the southern African ‡Khomani San and identifies novel loci associated with pigmentation. Together, these chapters highlight the importance of diverse human population studies for methodological and technical development as well as to identify a broader mechanistic understanding of phenotypic variability.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2015
Issuance monographic
Language English

Creators/Contributors

Associated with Martin, Alicia R
Associated with Stanford University, Program in Genetics.
Primary advisor Bustamante, Carlos
Thesis advisor Bustamante, Carlos
Thesis advisor Feldman, Marcus W
Thesis advisor Greenleaf, William James
Thesis advisor Montgomery, Stephen, 1979-
Advisor Feldman, Marcus W
Advisor Greenleaf, William James
Advisor Montgomery, Stephen, 1979-

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Alicia R. Martin.
Note Submitted to the Program in Genetics.
Thesis Thesis (Ph.D.)--Stanford University, 2015.
Location electronic resource

Access conditions

Copyright
© 2015 by Alicia Renea Martin
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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