There is considerable variation in disease course among individuals infected with SARS-CoV-2. Many of them do not exhibit any symptoms, while some others proceed to develop COVID-19; however, severity of COVID-19 symptoms greatly differs among individuals. Focusing on the early events related to SARS-CoV-2 entry to cells through the ACE2 pathway, we describe how variability in (epi)genetic factors can conceivably explain variability in disease course. We specifically focus on variations in ACE2 , TMPRSS2 and FURIN genes, as central components for SARS-CoV-2 infection, and on other molecules that modulate their expression such as CALM , ADAM-17 , AR and ESRs. We propose a genetic classifier for predicting SARS-CoV-2 infectivity potential as a preliminary tool for identifying the at-risk-population. This tool can serve as a dynamic scaffold being updated and adapted to validated (epi)genetic data. Overall, the proposed approach holds potential for better personalization of COVID-19 handling.
【저자키워드】 COVID-19, SARS-CoV-2, ACE2, TMPRSS2, furin, (epi)genetics, ADAM-17, genetic classifier, 【초록키워드】 SARS-COV-2 infection, Variation, Genetic, Symptom, Symptoms, severity of COVID-19, expression, Factor, Classifier, SARS-CoV-2 entry, individual, Variability, disease course, handling, component, Genes, approach, Cell, event, ACE2 pathway, develop, modulate, individuals, explain, Focusing, infected with SARS-CoV-2, other molecule, proceed, 【제목키워드】 Genetic, Epigenetic, COVID-19 susceptibility, Analysis, SARS-CoV-2 entry, Assessing,