The NIAID Data Science Seminar is brought to you by the Office of Data Science and Emerging Technologies (ODSET). This is held on the first Friday of each month at 12:00 noon ET. Seminar topics include informatics/data science research in immune-mediated and infectious disease conducted, funded, or relevant to NIAID’s mission. This also provide a forum for disseminating related research and an opportunity for discussions and collaborations.
Date: Friday, November 5th
Time: 12:00pm – 1:00pm Eastern Time (US)
Topic: Next-Generation Tools and Resources for Next-Generation Immunogenetic Data
Speaker: Jill A. Hollenbach, PhD, MPH, Associate Professor, University of California, San Francisco
Abstract: The Human Leukocyte Antigen (HLA) region on human chromosome 6p21 is the most medically important, polymorphic, and gene-dense region of the human genome. Over 100 infectious, autoimmune and pharmacological disease phenotypes and cancers are associated with genetic variation of HLA. In the most successful application of precision medicine to date, matching of HLA genotypes is required for bone marrow and solid organ transplantation. In addition to their primary role in antigen presentation to T cells, HLA molecules have functional interaction with killer cell immunoglobulin-like receptor (KIR) molecules encoded on chromosome 19, which modulate natural killer (NK) cell activity and are also recognized to play critical roles in transplantation and disease. The extensive genetic variation of these immunogenomic loci in human populations also makes them model systems in health disparities research. Recognizing the need to consolidate the copious and heterogeneous data from such a broad field, we have developed a suite of standards, tools, and resources for the analysis, collection, exchange and storage (ACES) of all current and future immunogenetic data. Most recently, we have harnessed these efforts to support collection and analysis of HLA and KIR data in COVID-19. In this presentation, Dr. Hollenbach will introduce these standards and resources, which are designed to maximize the ongoing utility of these data for clinical and basic research science.
For more details and to register: https://www.niaid.nih.gov/research/data-science-seminar