학술논문

Geographical distribution of cystic fibrosis carriers as population genetic determinant of COVID-19 spread and fatality in 37 countries.
Document Type
Academic Journal
Author
Gabbi C; Department of Biosciences and Nutrition, Karolinska Institutet, Neo, SE-141 83, Huddinge, Sweden. Electronic address: chiaragabbi@virgilio.it.; Renieri A; Medical Genetics, University of Siena, Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy; Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Italy.; Strandvik B; Department of Biosciences and Nutrition, Karolinska Institutet, Neo, SE-141 83, Huddinge, Sweden.
Source
Publisher: W.B. Saunders Country of Publication: England NLM ID: 7908424 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-2742 (Electronic) Linking ISSN: 01634453 NLM ISO Abbreviation: J Infect Subsets: MEDLINE
Subject
Language
English
Abstract
COVID-19 has shown a relevant heterogeneity in spread and fatality among countries together with a significant variability in its clinical presentation, indicating that host genetic factors may influence COVID-19 pathogenicity. Indeed, subjects carrying single pathogenic variants of the Cystic Fibrosis (CF) Transmembrane Conductance Regulator (CFTR) gene - i.e. CF carriers - are more susceptible to respiratory tract infections and are more likely to undergo severe COVID-19 with higher risk of 14-day mortality. Given that CF carrier prevalence varies among ethnicities and nations, an ecological study in 37 countries was conducted, in order to determine to what extent the diverse CF carrier geographical distribution may have affected COVID-19 spread and fatality during the first pandemic wave. The CF prevalence in countries, as indicator of the geographical distribution of CF carriers, significantly correlated in a direct manner with both COVID-19 prevalence and its Case Fatality Rate (CFR). In a regression study weighted for the number of tests performed, COVID-19 prevalence positively correlated with CF prevalence, while CFR correlated with population percentage older than 65-year, cancer and CF prevalence. Multivariate regression model also confirmed COVID-19 CFR to be associated with CF prevalence, after adjusting for elderly, cancer prevalence, and weighting for the number of tests performed. This study suggests a putative contribution of population genetics of CFTR in understanding the spatial distribution of COVID-19 spread and fatality.
Competing Interests: Declaration of Competing Interest Authors declare no conflict of interest.
(Copyright © 2022. Published by Elsevier Ltd.)