Evidence map›Paper›PMID 32933522›Full record

ArticleJournal of translational medicine2020

Correlation of the two most frequent HLA haplotypes in the Italian population to the differential regional incidence of Covid-19.

Simona Pisanti, Joris Deelen, Anna Maria Gallina, Mariella Caputo, Marianna Citro, Mario Abate, Nicoletta Sacchi, Carmine Vecchione, Rosanna Martinelli

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

77 citing papers in PubMed, 1 synthesis or guideline pooled it, 119 citations in OpenAlex.

  1. Pooled it
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17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Simona PisantiDepartment of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via Salvatore Allende, 84081, Baronissi, SA, Italy. spisanti@unisa.it.ORCID 0000-0003-1383-7929
Joris DeelenMax Planck Institute for Biology of Ageing, PO Box 41 06 23, 50866, Cologne, Germany.
Anna Maria GallinaE.O. Galliera, Italian Bone Marrow Donor Registry, Genoa, Italy.
Mariella CaputoDepartment of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via Salvatore Allende, 84081, Baronissi, SA, Italy.
Marianna CitroDepartment of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via Salvatore Allende, 84081, Baronissi, SA, Italy.
Mario AbateDepartment of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via Salvatore Allende, 84081, Baronissi, SA, Italy.ORCID 0000-0003-0578-4812
Nicoletta SacchiE.O. Galliera, Italian Bone Marrow Donor Registry, Genoa, Italy.
Carmine VecchioneDepartment of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via Salvatore Allende, 84081, Baronissi, SA, Italy.ORCID 0000-0002-2473-4565
Rosanna MartinelliDepartment of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via Salvatore Allende, 84081, Baronissi, SA, Italy. rmartinelli@unisa.it.ORCID 0000-0002-6524-6752
University of Salerno · ITEnte Ospedaliero Ospedali Galliera · ITMax Planck Institute for Biology of Ageing · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding 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.

methodsIn 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.

resultsIn 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.

conclusionsBased 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.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19Gene FrequencyGenetic Predisposition to DiseaseGenetics, PopulationGeographyHaplotypesHLA-A AntigensHLA AntigensHLA-B AntigensHLA-C AntigensHLA-DRB1 ChainsHumansIncidenceItalyHLA-A AntigensHLA AntigensHLA-B AntigensHLA-C AntigensHLA-DRB1 ChainsCovid-19 incidence and mortalityHLA polymorphismsHLA typingSusceptibility

Identifiers

PMID32933522
PMCPMC7491019
OpenAlexW3086994308

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.