ABSTRACT
The outcome of human viral infections is highly dependent on the host features. The scale of COVID-19 spread and amount of deaths caused motivate scientists to search for ways to combat this pandemic. We have reviewed 34 scientific papers taking into account two main points of COVID-19: the biology behind the infection and the methods used to model the outcome of the disease. The findings of the studies suggest that host genetic factors impact the clinical manifestation and outcome of COVID-19. Scientists are modelling COVID-19 using various computational methods, including genome-wide, exome-wide, and phenome-wide association analyses. Machine learning and some other methods are used to model COVID-19 to obtain new insights into the pathogenesis of the disease. As for now, there is a limited number of causal studies about COVID-19 and host genetic factors. © 2022 University of Bologna. All rights reserved.