Evidence map›Paper›PMID 35196333›Full record

ArticlePloS one2022

Evaluation of the genetic risk for COVID-19 outcomes in COPD and differences among worldwide populations.

Rui Marçalo, Sonya Neto, Miguel Pinheiro, Ana J Rodrigues, Nuno Sousa, Manuel A S Santos, Paula Simão, Carla Valente, Lília Andrade, Alda Marques and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. The Complex Association between COPD and COVID-19.Journal of clinical medicine · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Article
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

11 authors at 4 institutions in 1 country.

Rui MarçaloDepartment of Medical Sciences, Genome Medicine Laboratory, Institute of Biomedicine-iBiMED, University of Aveiro, Aveiro, Portugal.ORCID 0000-0003-0699-335X
Sonya NetoDepartment of Medical Sciences, Genome Medicine Laboratory, Institute of Biomedicine-iBiMED, University of Aveiro, Aveiro, Portugal.
Miguel PinheiroDepartment of Medical Sciences, Genome Medicine Laboratory, Institute of Biomedicine-iBiMED, University of Aveiro, Aveiro, Portugal.
Ana J RodriguesLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho-Braga, Portugal.
Nuno SousaLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho-Braga, Portugal.
Manuel A S SantosDepartment of Medical Sciences, Genome Medicine Laboratory, Institute of Biomedicine-iBiMED, University of Aveiro, Aveiro, Portugal.
Paula SimãoPulmonology Department, Unidade Local de Saúde de Matosinhos-Porto, Porto, Portugal.
Carla ValentePulmonology Department, Centro Hospitalar do Baixo Vouga-Aveiro, Aveiro, Portugal.
Lília AndradePulmonology Department, Centro Hospitalar do Baixo Vouga-Aveiro, Aveiro, Portugal.
Alda MarquesLab3R-Respiratory Research and Rehabilitation, School for Health Sciences (ESSUA) and Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal.
Gabriela R MouraDepartment of Medical Sciences, Genome Medicine Laboratory, Institute of Biomedicine-iBiMED, University of Aveiro, Aveiro, Portugal.
University of Aveiro · PTCentro Hospitalar do Baixo Vouga · PTUniversity of Minho · PTAdministração Regional de Saúde de Lisboa e Vale do Tejo · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPopulations seem to respond differently to the global pandemic of severe acute respiratory syndrome coronavirus 2. Recent studies show individual variability in both susceptibility and clinical response to COVID-19 infection. People with chronic obstructive pulmonary disease (COPD) constitute one of COVID-19 risk groups, being already associated with a poor prognosis upon infection. This study aims contributing to unveil the underlying reasons for such prognosis in people with COPD and the variability in the response observed across worldwide populations, by looking at the genetic background as a possible answer to COVID-19 infection response heterogeneity.

methodsSNPs already associated with susceptibility to COVID-19 infection (rs286914 and rs12329760) and severe COVID-19 with respiratory failure (rs657152 and rs11385942) were assessed and their allelic frequencies used to calculate the probability of having multiple risk alleles. This was performed on a Portuguese case-control COPD cohort, previously clinically characterized and genotyped from saliva samples, and also on worldwide populations (European, Spanish, Italian, African, American and Asian), using publicly available frequencies data. A polygenic risk analysis was also conducted on the Portuguese COPD cohort for the two mentioned phenotypes, and also for hospitalization and survival to COVID-19 infection.

findingsNo differences in genetic risk for COVID-19 susceptibility, hospitalization, severity or survival were found between people with COPD and the control group (all p-values > 0.01), either considering risk alleles individually, allelic combinations or polygenic risk scores. All populations, even those with European ancestry (Portuguese, Spanish and Italian), showed significant differences from the European population in genetic risk for both COVID-19 susceptibility and severity (all p-values < 0.0001).

conclusionOur results indicate a low genetic contribution for COVID-19 infection predisposition or worse outcomes observed in people with COPD. Also, our study unveiled a high genetic heterogeneity across major world populations for the same alleles, even within European sub-populations, demonstrating the need to build a higher resolution European genetic map, so that differences in the distribution of relevant alleles can be easily accessed and used to better manage diseases, ultimately, safeguarding populations with higher genetic predisposition to such diseases.

Indexed as

AgedAllelesCOVID-19FemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedPhenotypePolymorphism, Single NucleotidePortugalPulmonary Disease, Chronic ObstructiveRespiratory InsufficiencyRisk Factors

Identifiers

PMID35196333
PMCPMC8865687
OpenAlexW4212958372

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.