The long-term goal of this research program is to determine the genetic and molecular mechanisms that cause spontaneous and induced mutations to show different effects across genetically distinct individuals. These `background effects' are important to human health because they can complicate efforts to predict, prevent, and treat disease based on personalized genomic data. Although background effects are known to result from genetic interactions between mutations and standing polymorphisms, their underlying genetic architectures and molecular mechanisms have only begun to be characterized. Our recent work in budding yeast suggests that background effects are typically caused by multiple loci that interact not only with a mutation, but also each other. This finding could have important implications for efforts to map the genetic basis of diseases and other traits that are commonly influenced by mutations, and thus its generality and underlying mechanisms require deeper investigation. Here, we will extend our work on background effects in yeast using emerging technologies for high-throughput phenotyping and genome editing, as well as statistically powerful linkage mapping. Our work will address three main questions: (1) What are the prevalence and forms of background effects? (2) What genetic complexities and types of epistasis underlie background effects? And, (3) what are the properties of genes and genetic variants that cause background effects? This work will produce detailed insights into background effects that should advance efforts to understand and predict the relationship between genotype and phenotype in humans and model organisms.

Public Health Relevance

Background effects cause genetically distinct individuals to show different phenotypic responses to the same mutations. Despite their potential importance to health and evolution, background effects remain poorly understood. Here, we will use the budding yeast model system to address a number of general questions about background effects. We will produce detailed insights into background effects that can inform genetic studies in less tractable species, including humans.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Unknown (R35)
Project #
1R35GM130381-01
Application #
9626806
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Janes, Daniel E
Project Start
2019-01-01
Project End
2023-12-31
Budget Start
2019-01-01
Budget End
2019-12-31
Support Year
1
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Southern California
Department
Biology
Type
Schools of Arts and Sciences
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089