Candidate

Examination Date

Spring 3-31-2025

Degree

Dissertation

Degree Program

Human Genetics

Examination Committee

Lucio Miele, Angela Amedee, Judy Crabtree, Ron Horswell, David Welsh, Hui-Yi Lin

Abstract

Long term immunity against viral pathogens, such as SARS-CoV-2 and Influenzas, requires identification of T cell epitopes affecting host immunogenicity. Recent reports highlight the importance of CD8+ T cell mediated immunity in conferring long term resistance to COVID-19, but research is limited due to the complexity of human T cell antigen processing and presentation. Our central hypothesis is that differences in T cell epitopes, mediated by host HLAs and mutations of viral gene products, contribute to differential clinical severity of disease outcomes, as seen in COVID-19 and Avian Influenza A(H5N1). To test this hypothesis, we conducted several investigations exploring the relationship of HLA alleles and SARS-CoV-2 in silico (chapter 2) and in the All of Us dataset (chapter 4). Notably, we identified several novel alleles associated with COVID-19 clinical severity while also confirming previously reported allelic associations. Additionally, we investigated the effects of viral variants on Long COVID by evaluating electronic medical records and patient-linked viral sequences within the Ochsner Health system (Chapter 3). Finally, we examined the application of our bioinformatics pipeline in investigating other viral pathogens, namely the highly pathogenic influenza A/H5N1 virus, by exploring cross reactive Neuraminidase N1 CD8+ epitopes (Chapter 5). Based on national estimates, approximately 2.6-14% of the population may be at increased risk of severe clinical outcomes following A(H5N1) infection. The overall goal of the proposed study is to better understand how T cell immunity affects disease outcomes in several “Big Data” clinical datasets. Our disease agnostic bioinformatic approach could help advancing precision medicine through increased surveillance/prevention strategies for high-risk populations and the development of more effective vaccine candidates with broad population coverage.

Kim, Grace - Dissertation Report Form.pdf (110 kB)
Dissertation Report Form

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