Integrating Host Genetics and Electronic Medical Records to Combat COVID-19

Grant number: unknown

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Key facts

  • Disease

    COVID-19
  • start year

    -99
  • Known Financial Commitments (USD)

    $0
  • Funder

    Yale University
  • Principal Investigator

    Hongyu Zhao
  • Research Location

    United States of America
  • Lead Research Institution

    N/A
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Pathogen morphology, shedding & natural history

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

COVID-19 results from complex interactions between virus, human host, and other factors. This project involves using state-of-the-art statistical methods to better understand host genetic factors for COVID-19. The project is novel in integrating COVID-19hg results with the Yale New Haven Hospital (YNHH) Generations Project for better patient care that considers both genetic and clinical information. The study will also explore health disparity issues associated with COVID-19 because of the diverse patient population at YNHH and provide the host genetics perspective on COVID1-9 epidemics.