Evidence map›Paper›PMID 34764675›Full record

ArticlePharmacogenomics and personalized medicine2021

Variation of Genomic Sites Associated with Severe Covid-19 Across Populations: Global and National Patterns.

Oleg Balanovsky, Valeria Petrushenko, Karin Mirzaev, Sherzod Abdullaev, Igor Gorin, Denis Chernevskiy, Anastasiya Agdzhoyan, Elena Balanovska, Alexander Kryukov, Ilyas Temirbulatov and 1 more

Abstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Disease markers · 2022
    Article
  6. Association Between theFrontiers in medicine · 2022
    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.

Oleg BalanovskyLaboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.
Valeria PetrushenkoLaboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.
Karin MirzaevLaboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.
Sherzod AbdullaevDepartment of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia.
Igor GorinLaboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.
Denis ChernevskiyLaboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.
Anastasiya AgdzhoyanLaboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.
Elena BalanovskaLaboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.
Alexander KryukovDepartment of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia.ORCID 0000-0001-7903-2977
Ilyas TemirbulatovLaboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.ORCID 0000-0002-1242-0833
Dmitriy SychevDepartment of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation about the distribution of clinically significant genetic markers in different populations may be helpful in elaborating personalized approaches to the clinical management of COVID-19 in the absence of consensus guidelines.

aimAnalyze frequencies and distribution patterns of two markers associated with severe COVID-19 (

methodsWe genotyped 1883 samples from 91 ethnic groups pooled into 28 populations representing Russia and its neighbor states. We also compiled a dataset on 32 populations from other regions using genotypes extracted or imputed from the available databases. Geographic maps showing the frequency distribution of the analyzed markers were constructed using the obtained data.

resultsThe cartographic analysis revealed that

conclusionOur findings suggest that genetic differences between populations make a small yet tangible contribution to the heterogeneity of the pandemic worldwide.

Indexed as

AB0gene geographygenetic markersrs11385942rs657152severe COVID-19

Identifiers

PMID34764675
PMCPMC8575442

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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.