Evidence map›Paper›PMID 33133166›Full record

ArticleFrontiers in genetics2020

Host Genetic Variants Potentially Associated With SARS-CoV-2: A Multi-Population Analysis.

Maria K Smatti, Yasser A Al-Sarraj, Omar Albagha, Hadi M Yassine

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 16% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  13. Genome-wide association study of SARS-CoV-2 infection in Chinese population.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
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  19. Host polymorphisms and COVID-19 infection.Advances in clinical chemistry · 2022
    Article
  20. Human genetic basis of coronavirus disease 2019.Signal transduction and targeted therapy · 2021
    Review
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

4 authors at 3 institutions in 2 countries.

Maria K SmattiCollege of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar.
Yasser A Al-SarrajCollege of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar.
Omar AlbaghaCollege of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar.
Hadi M YassineBiomedical Research Center, Qatar University, Doha, Qatar.
Hamad bin Khalifa University · QAEdinburgh Cancer Research · GBQatar University · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical outcomes of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) showed enormous inter-individual and inter-population differences, possibly due to host genetics differences. Earlier studies identified single nucleotide polymorphisms (SNPs) associated with SARS-CoV-1 in Eastern Asian (EAS) populations. In this report, we aimed at exploring the frequency of a set of genetic polymorphisms that could affect SARS-CoV-2 susceptibility or severity, including those that were previously associated with SARS-CoV-1.

methodsWe extracted the list of SNPs that could potentially modulate SARS-CoV-2 from the genome wide association studies (GWAS) on SARS-CoV-1 and other viruses. We also collected the expression data of these SNPs from the expression quantitative trait loci (eQTLs) databases. Sequences from Qatar Genome Programme (QGP,

resultsA total of 74 SNPs, located in 10 genes:

conclusionMultiple genetic variants, which could potentially modulate SARS-CoV-2 infection, are significantly variable between populations, with the lowest frequency observed among Africans. Our results highlight the importance of exploring population genetics to understand and predict COVID-19 outcomes. Indeed, further studies are needed to validate these findings as well as to identify new genetic determinants linked to SARS-CoV-2.

Indexed as

COVID-19host geneticsSARS-CoV-2SNPssusceptibility

Identifiers

PMID33133166
PMCPMC7567011
OpenAlexW3089593569

What OpenQuestion holds

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LicenceCC BY
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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.