APR 28, 2021 7:00 AM PDT

Host genome analysis of structural variations by Optical Genome Mapping in patients with severe COVID-19

Sponsored by: Bionano Genomics
Speaker
  • Vice-Chair of Pathology and Section Chief of Molecular and Genetic Pathology, Augusta University
    Biography
      Dr. Ravindra Kolhe the Vice-Chair of Pathology and Section Chief of Molecular and Genetic Pathology at Augusta University, is the lead investigator of the COVID-19 Host Genome Structural Variation Consortium. He is also one of the co-investigators in the State of Georgia Public Health Department Ongoing Task Force for viral RNA testing and serology surveillance program for the public. Dr. Kolhe intends to build a global network of researchers who can contribute to our collective knowledge on host genome response to the SARS-CoV-2 infection and COVID-19 disease.
      As a Molecular and Genetic Pathologist, I am actively engaged in molecular and cytogenetic evaluation of patient samples as a part of the multi- disciplinary clinical team treating patients. It is my goal to render not only the most accurate diagnosis but also to provide and develop the highest quality predictive and prognostic tests as a part of personalized medicine. This approach helps my clinical colleagues take the best possible care of the patient while at the same time advancing our scientific knowledge in these areas. My clinical work involves molecular evaluation of various pathologic disorders and malignancies.


    Abstract
    Date:  April 28, 2021
    Time: 7:00am (PDT),  10:00am (EDT)
     
    The varied clinical manifestations and outcomes in patients with SARS-CoV-2 infections implicate a role of host-genetics in the predisposition to disease severity. This role is supported by evidence that is now emerging, where initial reports identify common risk factors and rare genetic variants associated with high risk for severe/life-threatening COVID-19. We investigated the host genomes of individuals with severe/life-threatening COVID-19 at the structural variant level (500 bp - Mbps) to identify events that might provide insight into the inter-individual variability in clinical course and outcomes associated with SARS-CoV-2 infections and COVID-19 mortality.
     
     
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