Integrating Host Genetics and Electronic Medical Records to Combat COVID-19
- Funded by Yale University
- Total publications:0 publications
Grant number: unknown
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Key facts
Disease
COVID-19start year
-99Known Financial Commitments (USD)
$0Funder
Yale UniversityPrincipal Investigator
Hongyu ZhaoResearch Location
United States of AmericaLead Research Institution
N/AResearch 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.