European Journal of Human GeneticsGenetic & Genomic MedicinePeer-reviewed journal article
ACE2 gene variants may underlie interindividual variability and susceptibility to COVID-19 in the Italian population
Elisa BenettiiD, Rossella TitaiD, Ottavia SpigaiD, Andrea CiolfiiD, Giovanni BiroloiD, Alessandro BrusellesiD, Gabriella Doddato, Annarita GilibertiiD, Caterina MarconiiD, Francesco MusacchiaiD, Tommaso PippucciiD, Annalaura TorellaiD, Alfonso TrezzaiD, Floriana Valentino, Margherita BaldassarriiD, Alfredo BruscoiD, Rosanna AsseltaiD, Mirella BruttiniiD, Simone FuriniiD, Marco SeriiD, Vincenzo NigroiD, Giuseppe MatulloiD, Marco TartagliaiD, Francesca MariiD, Elisa FrullantiiD, , Carmelo PiscopoiD
Abstract
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.
- organism: human
- assay: whole-exome sequencing
- research focus: variant effect prediction
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 263
- FWCI
- 7.63
- Field percentile
- top 2%
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