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Genes (Basel) ; 12(11)2021 11 22.
Artículo en Inglés | MEDLINE | ID: covidwho-1533885

RESUMEN

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.


Asunto(s)
COVID-19/genética , Predisposición Genética a la Enfermedad/genética , Interacciones Microbiota-Huesped/genética , Adulto , Alelos , COVID-19/epidemiología , Control de Enfermedades Transmisibles , Susceptibilidad a Enfermedades/metabolismo , Exoma/genética , Femenino , Frecuencia de los Genes/genética , Predisposición Genética a la Enfermedad/epidemiología , Genética de Población , Genómica/métodos , Humanos , Inmunidad Innata/inmunología , Italia/epidemiología , Masculino , Qatar/epidemiología , SARS-CoV-2/genética , SARS-CoV-2/patogenicidad , Secuenciación del Exoma/métodos , Secuenciación Completa del Genoma/métodos
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