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Why does SARS-CoV-2 hit in different ways? Host genetic factors can influence the acquisition or the course of COVID-19.
Monticelli, Maria; Mele, Bruno Hay; Andreotti, Giuseppina; Cubellis, Maria Vittoria; Riccio, Guglielmo.
  • Monticelli M; Department of Biology, Università Federico II, 80126, Napoli, Italy. Electronic address: maria.monticelli@unina.it.
  • Mele BH; Integrative Marine Ecology Department, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121, Napoli, Italy. Electronic address: bruno.haymele@szn.it.
  • Andreotti G; Istituto di Chimica Biomolecolare -CNR, 80078, Pozzuoli, Italy. Electronic address: gandreotti@icb.cnr.it.
  • Cubellis MV; Department of Biology, Università Federico II, 80126, Napoli, Italy; Istituto di Chimica Biomolecolare -CNR, 80078, Pozzuoli, Italy. Electronic address: cubellis@unina.it.
  • Riccio G; Scuola di Specializzazione in Pediatria, Università degli Studi di Trieste, 34127, Trieste, Italy. Electronic address: gugli.riccio@libero.it.
Eur J Med Genet ; 64(6): 104227, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1188514
ABSTRACT
The identification of high-risk factors for the infection by SARS-CoV-2 and the negative outcome of COVID-19 is crucial. The genetic background of the host might account for individual responses to SARS-CoV-2 infection besides age and comorbidities. A list of candidate polymorphisms is needed to drive targeted screens, given the existence of frequent polymorphisms in the general population. We carried out text mining in the scientific literature to draw up a list of genes referable to the term "SARS-CoV*". We looked for frequent mutations that are likely to affect protein function in these genes. Ten genes, mostly involved in innate immunity, and thirteen common variants were identified, for some of these the involvement in COVID-19 is supported by publicly available epidemiological data. We looked for available data on the population distribution of these variants and we demonstrated that the prevalence of five of them, Arg52Cys (rs5030737), Gly54Asp (rs1800450) and Gly57Glu (rs1800451) in MBL2, Ala59Thr (rs25680) in CD27, and Val197Met (rs12329760) in TMPRSS2, correlates with the number of cases and/or deaths of COVID-19 observed in different countries. The association of the TMPRSS2 variant provides epidemiological evidence of the usefulness of transmembrane protease serine 2 inhibitors for the cure of COVID-19. The identified genetic variants represent a basis for the design of a cost-effective assay for population screening of genetic risk factors in the COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genetic Predisposition to Disease / SARS-CoV-2 / COVID-19 / Immunity, Innate Type of study: Observational study / Prognostic study / Reviews Topics: Variants Limits: Humans Language: English Journal: Eur J Med Genet Journal subject: Genetics, Medical Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genetic Predisposition to Disease / SARS-CoV-2 / COVID-19 / Immunity, Innate Type of study: Observational study / Prognostic study / Reviews Topics: Variants Limits: Humans Language: English Journal: Eur J Med Genet Journal subject: Genetics, Medical Year: 2021 Document Type: Article