Loading...
Major
Physiology
Anticipated Graduation Year
2022
Access Type
Open Access
Abstract
When analyzing complex traits among populations, statistical methods such as genome-wide association studies (GWAS) are used to find associations with complex traits. Despite the growing number of published GWAS, non-European only comprise 19% of all studied individuals. Our project will utilize TOPMed (Trans-Omics for Precision Medicine) data, a set of diverse populations, to build multiple transcriptome predictive models. We will test the predictive performance of the models, then we will apply these models to PrediXcan to analyze complex traits in diverse populations.
Faculty Mentors & Instructors
Dr. Heather Wheeler;Ryan Schubert
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Building and Testing Expression Models
When analyzing complex traits among populations, statistical methods such as genome-wide association studies (GWAS) are used to find associations with complex traits. Despite the growing number of published GWAS, non-European only comprise 19% of all studied individuals. Our project will utilize TOPMed (Trans-Omics for Precision Medicine) data, a set of diverse populations, to build multiple transcriptome predictive models. We will test the predictive performance of the models, then we will apply these models to PrediXcan to analyze complex traits in diverse populations.