Host and Viral Genetics of SARS-CoV-2 to Enable Epidemiologic Surveillance, Clinical Insight and Pathobiology
About this Webinar Series
The COPSS-NISS COVID-19 Data Science webinar series is co-organized by the Committee of the Presidents of Statistical Societies (COPSS) and its five charter member societies (ASA, ENAR, IMS, SSC, and WNAR), as well as NISS. This bi-weekly seminar features the latest research that is positioned on the cusp of new understanding and analysis of COVID-19 pandemic data, and promotes data-driven research and decision making to combat COVID-19. Find out more about this series and view all the previous sessions on the Webinar Series page.
Current developments in sequencing technology have allowed for an unprecedented look at the virus causing the current pandemic, SARS-CoV-2. Leveraging work by the ARTIC network, we have setup a sequencing pipeline at Johns Hopkins to characterize the virus in positive cases in our region. Host genetics also plays a vital role in our understanding of pathogenesis of many diseases. We have enrolled hospitalized severe cases and ambulatory mild or asymptomatic cases to understand the role of host genetics in severity of COVID-19 as well as associations with immunologic outcomes.
Priya Duggal, (Johns Hopkins University, Bloomberg School of Public Health)
Bio: Priya Duggal is an Associate Professor of Epidemiology and International Health at Johns Hopkins Bloomberg School of Public Health and the Director of the Genetic Epidemiology program. Her group is focused on global adult and pediatric populations to identify host genes associated with severity and susceptibility to parasitic (E. histolytica, Cryptosporidium) and viral (hepatitis C/B, human immunodeficiency virus, enterovirus) infections and how these may be altered by the environment and other host factors like sex and malnutrition.
Winston Timp, (Johns Hopkins University, Bloomberg School of Public Health)
Bio: Winston Timp is an Associate Professor of Biomedical Engineering at Johns Hopkins University. His lab is focused on the development and application of sequencing technologies to gain a deeper understanding of biology and a more accurate set of clinical tools for human disease. Their research integrates the principles of biophysics, molecular biology, and computational biology to create new tools for exploring the epigenome and genome of various lifeforms, ranging in size from the flu virus to hummingbirds to California redwoods. Based on the knowledge gained from these studies, they apply their toolsets to clinical samples for the diagnosis, surveillance, and treatment of human disease.
Moderator / Organizer
Debashree Ray, (Johns Hopkins University, Bloomberg School of Public Health)
Xihong Lin (Chair) (IMS), Harvard University
Karen Bandeen-Roche (NISS), Johns Hopkins University
Chris Barker (ASA), Statistical Planning and Analysis Services, Inc
Gary Chan (WNAR), University of Washington
Rob Deardon (SSC), University of Calgary
Natalie Dean (COPSS), University of Florida
Debashree Ray (COPSS), Johns Hopkins University
Jie Peng (WNAR), University of California at Davis
Nathaniel Stevens (SSC), University of Waterloo
Elizabeth Stuart (ENAR), Johns Hopkins University
Ryan Tibshirani (IMS), Carnegie Mellon University
Lily Wang (ASA), Iowa State University
Lingzhou Xue (NISS), Pennsylvania State University
Lili Zhao (ENAR), University of Michigan
Glenn Johnson (Web Communications), NISS