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Genes (Basel) ; 12(11)2021 11 22.
Article in English | MEDLINE | ID: mdl-34828448

ABSTRACT

Host genomic information, specifically genomic variations, may characterize susceptibility to disease and identify people with a higher risk of harm, leading to better targeting of care and vaccination. Italy was the epicentre for the spread of COVID-19 in Europe, the first country to go into a national lockdown and has one of the highest COVID-19 associated mortality rates. Qatar, on the other hand has a very low mortality rate. In this study, we compared whole-genome sequencing data of 14398 adults and Qatari-national to 925 Italian individuals. We also included in the comparison whole-exome sequence data from 189 Italian laboratory-confirmed COVID-19 cases. We focused our study on a curated list of 3619 candidate genes involved in innate immunity and host-pathogen interaction. Two population-gene metric scores, the Delta Singleton-Cohort variant score (DSC) and Sum Singleton-Cohort variant score (SSC), were applied to estimate the presence of selective constraints in the Qatari population and in the Italian cohorts. Results based on DSC and SSC metrics demonstrated a different selective pressure on three genes (MUC5AC, ABCA7, FLNA) between Qatari and Italian populations. This study highlighted the genetic differences between Qatari and Italian populations and identified a subset of genes involved in innate immunity and host-pathogen interaction.


Subject(s)
COVID-19/genetics , Genetic Predisposition to Disease/genetics , Host Microbial Interactions/genetics , Adult , Alleles , COVID-19/epidemiology , Communicable Disease Control , Disease Susceptibility/metabolism , Exome/genetics , Female , Gene Frequency/genetics , Genetic Predisposition to Disease/epidemiology , Genetics, Population , Genomics/methods , Humans , Immunity, Innate/immunology , Italy/epidemiology , Male , Qatar/epidemiology , SARS-CoV-2/genetics , SARS-CoV-2/pathogenicity , Exome Sequencing/methods , Whole Genome Sequencing/methods
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