Genetic Factors Determining COVID-19 Susceptibility and Severity


Our goal in this project is to determine clinical factors of a poor prognosis in patients with COVID-19 infection. We will examine  medical records of patients with COVID-19 infections confirmed by polymerase chain reaction (PCR). Logistic multivariate regression models adjusted for age and sex will be constructed to analyze independent predictive factors associated with death, ICU admission and hospitalization of these patients. As part of the project, we are looking at the link between COVID-19 severity (e.g., COVID-19 related death) and the blood type of patients. This topic has been a controversial topic in the research community. 

Student Team
  • Riese Atianzar
  • Rohan Chatterjee
  • Francisco Contreras
  • Emily Gonzalez
  • Luis Gonzalez
  • Ting Fung Ha
  • Juan Hernandez
  • Carlos Hernandez
  • Jimuel Julaton
  • Chen-Ching Lin
Project Sponsor
Program for Education and Research in Biotechnology (CSUPERB)
Project Liaisons
Faculty Advisors
  • Navid Amini