In the face of the COVID-19 pandemic, researchers have identified various characteristics that may influence the risk and potential for exposure for an individual to contract the virus. These covariates are essential in determining the presence of underlying conditions in addition to COVID-19, as well as for improving disease prediction. This research led by Lei Sun and Lisa Strug will provide this data to be incorporated into the Canadian COVID-19 Host Genome Sequencing Genome-Wide Association Study effort.
Secondly, these researchers are performing a study that will specifically identify genetic risk factors for COVID-19, including an analysis of sex-chromosomes, which can often be neglected from scientific studies. The impact of this project will be a robust analytical source to help increase accurate predictions of COVID-19 risk based on these risk factors.