ACE2gene variants may underlie interindividual variability and susceptibility to COVID-19 in the Italian population
Author:
Elisa Benetti, Rossella Tita, Ottavia SpigaORCID, Andrea CiolfiORCID, Giovanni Birolo, Alessandro BrusellesORCID, Gabriella Doddato, Annarita Giliberti, Caterina Marconi, Francesco MusacchiaORCID, Tommaso PippucciORCID, Annalaura TorellaORCID, Alfonso TrezzaORCID, Floriana Valentino, Margherita Baldassarri, Alfredo BruscoORCID, Rosanna AsseltaORCID, Mirella Bruttini, Simone FuriniORCID, Marco SeriORCID, Vincenzo NigroORCID, Giuseppe MatulloORCID, Marco TartagliaORCID, Francesca MariORCID, Alessandra RenieriORCID, Maria Pinto Anna
Abstract
ABSTRACTIn December 2019, an initial cluster of interstitial bilateral pneumonia emerged in Wuhan, China. A human-to-human transmission was assumed and a previously unrecognized entity, termed coronavirus-disease-19 (COVID-19) due to a novel coronavirus (SARS-CoV-2) was described. The infection has rapidly spread out all over the world and Italy has been the first European country experiencing the endemic wave with unexpected clinical severity in comparison with Asian countries.It has been shown that SARS-CoV-2 utilizes angiotensin converting enzyme 2 (ACE2) as host receptor and host proteases for cell surface binding and internalization. Thus, a predisposing genetic background can give reason for inter-individual disease susceptibility and/or severity. Taking advantage of the Network of Italian Genomes (NIG), here we mined whole-exome-sequencing data of 6930 Italian control individuals from five different centers looking forACE2variants. A number of variants with a potential impact on protein stability were identified. Among these, three more common missense changes, p.(Asn720Asp), p.(Lys26Arg), p.(Gly211Arg) were predicted to interfere with protein structure and stabilization. Rare variants likely interfering with the internalization process, namely p.(Leu351Val) and p.(Pro389His), predicted to interfere with SARS-CoV-2 spike protein binding, were also observed. Comparison ofACE2WES data between a cohort of 131 patients and 258 controls allowed identifying a statistically significant (P value <0,029) higher allelic variability in controls compared to patients. These findings suggest that a predisposing genetic background may contribute to the observed inter-individual clinical variability associated with COVID-19, allowing an evidence-based risk assessment leading to personalized preventive measures and therapeutic options.
Publisher
Cold Spring Harbor Laboratory
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