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December 09, 2020
Sponsored by
Thermo Fisher Scientific

Predicting COVID-19 Severity From Genetic and Other Biomarkers: A Virtual Roundtable Discussion

Genome Webinar

Director, Englander Institute for Precision Medicine,
Weill Cornell Medicine

Senior Manager of Genetic Epidemiology,
AncestryDNA, LLC

Director, Division of Cancer Epidemiology and Genetics,
National Cancer Institute

Director, Institute of Biochemistry; Group Leader, Biochemistry and Systems Biology of Metabolism,
Charité University Medicine

The unfolding of the COVID-19 pandemic has shown that disease severity does not always correlate with age, preexisting medical conditions, or other clinical features. While some individuals can be infected with SARS-CoV-2 with few or no symptoms, others become severely ill with the disease.

This panel discussion will explore a variety of ongoing research projects and approaches that aim to discover genetic and other biomarkers to help predict who is at risk of developing severe COVID-19.

Our expert panelists will discuss how they are approaching this research challenge as well as the longer-term goals of their work. The discussion will address the opportunities and challenges of implementing their findings into clinical care, particularly within the context of other predictors of disease severity. The roundtable discussion will be followed by a live question-and-answer session with attendees.

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