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ACE2 gene variants may underlie interindividual variability and susceptibility to COVID-19 in the Italian population
medRxiv - Genetic and Genomic Medicine Pub Date : 2020-06-02 , DOI: 10.1101/2020.04.03.20047977
Elisa Benetti , Rossella Tita , Ottavia Spiga , Andrea Ciolfi , Giovanni Birolo , Alessandro Bruselles , Gabriella Doddato , Annarita Giliberti , Cterina Marconi , Francesco Musacchia , Tommaso Pippucci , Annalaura Torella , Alfonso Trezza , Floriana Valentino , Mrgherita Baldassarri , Alfredo Brusco , Rosanna Asselta , Bruttini Mirella , Simone Furini , Marco Seri , Vincenzo Nigro , Giuseppe Matullo , Marco Tartaglia , Francesca Mari , Alessandra Renieri , Annamaria Pinto

In 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 for ACE2 variants. 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 of ACE2 WES 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.
更新日期:2020-06-02
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