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Genes (Basel) ; 12(11)2021 11 22.
Artigo em Inglês | MEDLINE | ID: mdl-34828448

RESUMO

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.


Assuntos
COVID-19/genética , Predisposição Genética para Doença/genética , Interações entre Hospedeiro e Microrganismos/genética , Adulto , Alelos , COVID-19/epidemiologia , Controle de Doenças Transmissíveis , Suscetibilidade a Doenças/metabolismo , Exoma/genética , Feminino , Frequência do Gene/genética , Predisposição Genética para Doença/epidemiologia , Genética Populacional , Genômica/métodos , Humanos , Imunidade Inata/imunologia , Itália/epidemiologia , Masculino , Catar/epidemiologia , SARS-CoV-2/genética , SARS-CoV-2/patogenicidade , Sequenciamento do Exoma/métodos , Sequenciamento Completo do Genoma/métodos
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