Sign in
Genetic & Genomic MedicineGenes
Peer-reviewed journal article

Poking COVID-19: insights on genomic constraints among immune-related genes between Qatari and Italian populations

Hamdi MbarekiD, Massimiliano CoccaiD, Yasser A. Al-SarrajiD, Chadi SaadiD, Massimo MezzavillaiD, Wadha Al‐MuftahiD, Dario CocciadiferroiD, Antonio NovelliiD, Isabella QuintiiD, Azza Al-Tawashi, Salvino A. SalvaggioiD, Asma Al-ThaniiD, Giuseppe NovelliiD, Said I. IsmailiD

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 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.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISCross '25Badla '23Aquino '22Ma '21Moya '20Benetti '20
62% semantic matchGenetic & Genomic Medicine
Christopher N. Cross, Alessandro Lisi, Faith C. Simmonds+3 more·medRxiv·Aug 28, 2025· 1 citations