Correlation of the two most frequent HLA haplotypes in the Italian population to the differential regional incidence of Covid-19.
Betacoronavirus
COVID-19
Coronavirus Infections
/ epidemiology
Gene Frequency
Genetic Predisposition to Disease
Genetics, Population
Geography
HLA Antigens
/ genetics
HLA-A Antigens
/ genetics
HLA-B Antigens
/ genetics
HLA-C Antigens
/ genetics
HLA-DRB1 Chains
/ genetics
Haplotypes
Humans
Incidence
Italy
/ epidemiology
Pandemics
Pneumonia, Viral
/ epidemiology
SARS-CoV-2
Translational Research, Biomedical
Covid-19 incidence and mortality
HLA polymorphisms
HLA typing
Susceptibility
Journal
Journal of translational medicine
ISSN: 1479-5876
Titre abrégé: J Transl Med
Pays: England
ID NLM: 101190741
Informations de publication
Date de publication:
15 09 2020
15 09 2020
Historique:
received:
06
07
2020
accepted:
04
09
2020
entrez:
16
9
2020
pubmed:
17
9
2020
medline:
3
10
2020
Statut:
epublish
Résumé
Understanding how HLA polymorphisms may affect both susceptibility, course and severity of Covid-19 infection could help both at the clinical level to identify individuals at higher risk from the disease and at the epidemiological one to explain the differences in the epidemic trend among countries or even within a specific country. Covid-19 disease in Italy showed a peculiar geographical distribution from the northern most affected regions to the southern ones only slightly touched. In this study we analysed the regional frequencies for the most common Italian haplotypes from the Italian Bone Marrow Donor Registry (HLA-A, -B, -C and -DRB1 at four-digit level). Then we performed Pearson correlation analyses among regional haplotypes estimated frequency in the population and Covid-19 incidence and mortality. In this study we found that the two most frequent HLA haplotypes in the Italian population, HLA-A*:01:01g-B*08:01 g-C*07:01g-DRB1*03:01g and HLA-A*02.01g-B*18.01g-C*07.01g-DRB1*11.04g, had a regional distribution overlapping that of Covid-19 and showed respectively a positive (suggestive of susceptibility) and negative (suggestive of protection) significant correlation with both Covid-19 incidence and mortality. Based on these results, in order to define such HLA haplotypes as a factor effectively associated to the disease susceptibility, the creation of national networks that can collect patients' samples from all regions for HLA typing should be highly encouraged.
Sections du résumé
BACKGROUND
Understanding how HLA polymorphisms may affect both susceptibility, course and severity of Covid-19 infection could help both at the clinical level to identify individuals at higher risk from the disease and at the epidemiological one to explain the differences in the epidemic trend among countries or even within a specific country. Covid-19 disease in Italy showed a peculiar geographical distribution from the northern most affected regions to the southern ones only slightly touched.
METHODS
In this study we analysed the regional frequencies for the most common Italian haplotypes from the Italian Bone Marrow Donor Registry (HLA-A, -B, -C and -DRB1 at four-digit level). Then we performed Pearson correlation analyses among regional haplotypes estimated frequency in the population and Covid-19 incidence and mortality.
RESULTS
In this study we found that the two most frequent HLA haplotypes in the Italian population, HLA-A*:01:01g-B*08:01 g-C*07:01g-DRB1*03:01g and HLA-A*02.01g-B*18.01g-C*07.01g-DRB1*11.04g, had a regional distribution overlapping that of Covid-19 and showed respectively a positive (suggestive of susceptibility) and negative (suggestive of protection) significant correlation with both Covid-19 incidence and mortality.
CONCLUSIONS
Based on these results, in order to define such HLA haplotypes as a factor effectively associated to the disease susceptibility, the creation of national networks that can collect patients' samples from all regions for HLA typing should be highly encouraged.
Identifiants
pubmed: 32933522
doi: 10.1186/s12967-020-02515-5
pii: 10.1186/s12967-020-02515-5
pmc: PMC7491019
doi:
Substances chimiques
HLA Antigens
0
HLA-A Antigens
0
HLA-B Antigens
0
HLA-C Antigens
0
HLA-DRB1 Chains
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
352Références
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