Identification of driver genes for critical forms of COVID-19 in a deeply phenotyped young patient cohort

Research using multi-omics analysis (whole genome sequencing, RNA sequencing, proteomics, cytokine profiling and high-throughput immunophenotyping) combined with artificial intelligence has shown that increased level of ADAM9 metalloproteinase is responsible for the severe course of COVID-19 in a young patient cohort.