Emerging viruses, such as SARS-CoV, influenza A virus (IAV), and West Nile virus (WNV) cause high levels of morbidity and mortality in human populations. Host immune responses can play either protective or a pathologic role during viral infections. Therefore, understanding of the regulatory networks and signaling pathways that determine the magnitude and quality of an individual's antiviral immune response has important implications for human health, since these genes/pathways could be therapeutically targeted to treat virus- induced disease, or may represent targets for enhancing the safety and efficacy of vaccines against a wide range of viral pathogens. Polymorphic host genes and regulatory networks have a major impact on immune response variation in human populations. However, confounding environmental factors and/or ethical concerns limit the types of studies that can be conducted in humans. Therefore, genetically tractable model systems that capture the range of genetic and phenotypic diversity seen in humans, such as the Collaborative Cross (CC) are needed to mechanistically dissect the genetics of immune variation. Our research team has quantified variation in baseline, as well as SARS-CoV, IAV, and WNV-induced immune responses in a panel of 110 CC RIX lines (reproducible F1 crosses between CC recombinant inbred (RI) lines that model heterozygous human populations). To our knowledge, this represents to most comprehensive analysis of immune response variation ever conducted in a genetic reference population, and in ongoing QTL mapping studies, we have identified 100+ quantitative trait loci (QTL) associated with variation in virus-induced innate and adaptive immunity, inflammation and disease. Our program, which includes expertise in viral pathogenesis, innate and adaptive immunity, and quantitative genetics will use this unprecedented data base to: 1) identify and characterize polymorphic host genes that drive variation in virus-induced disease, 2) test how interactions between different polymorphic genes/loci shape the host immune response, 3) test how these genes impact responses to other viral pathogens, or function during allergy/auto-immunity, and 4) test the impact of these genes in the context of human infections to identify targets for diagnosis, prevention and therapeutic interventions in humans. These studies will significantly enhance our understanding of how host genetic variation shapes virus-induced immunity and/or disease.

Public Health Relevance

Host genetic variation has a major impact on virus-induced immunity, and the proposed studies will utilize the Collaborative Cross and Human cohorts to understand how host genetic variation impacts virus-induced immunity and disease.

National Institute of Health (NIH)
National Institute of Allergy and Infectious Diseases (NIAID)
Research Program--Cooperative Agreements (U19)
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Special Emphasis Panel (ZAI1)
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Jiang, Chao
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University of North Carolina Chapel Hill
Public Health & Prev Medicine
Schools of Public Health
Chapel Hill
United States
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