Evidence map›Paper›PMID 35371558›Full record

ArticleVirus evolution2022

The rise and spread of the SARS-CoV-2 AY.122 lineage in Russia.

Galya V Klink, Ksenia R Safina, Elena Nabieva, Nikita Shvyrev, Sofya Garushyants, Evgeniia Alekseeva, Andrey B Komissarov, Daria M Danilenko, Andrei A Pochtovyi, Elizaveta V Divisenko and 15 more

Abstract read
In one paragraph

Article in Virus evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  7. Neutralizing Antibodies in COVID-19 Serum from Tatarstan, Russia.International journal of molecular sciences · 2023
    Article
  8. PeerJ · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Galya V KlinkInstitute for Information Transmission Problems (Kharkevich Institute), Russian Academy of Sciences, Bol'shoi Karetnyi per., 19, Moscow 127051, Russia.
Ksenia R SafinaInstitute for Information Transmission Problems (Kharkevich Institute), Russian Academy of Sciences, Bol'shoi Karetnyi per., 19, Moscow 127051, Russia.
Elena NabievaSkolkovo Institute of Science and Technology (Skoltech), Nobel st., Building 1, Moscow 121205, Russia.
Nikita ShvyrevInternational Laboratory of Statistical and Computational Genomics, HSE University, Moscow, Russia.
Sofya GarushyantsInstitute for Information Transmission Problems (Kharkevich Institute), Russian Academy of Sciences, Bol'shoi Karetnyi per., 19, Moscow 127051, Russia.
Evgeniia AlekseevaSkolkovo Institute of Science and Technology (Skoltech), Nobel st., Building 1, Moscow 121205, Russia.
Andrey B KomissarovSmorodintsev Research Institute of Influenza, Prof. Popov 15/17, Saint Petersburg 197376, Russia.
Daria M DanilenkoSmorodintsev Research Institute of Influenza, Prof. Popov 15/17, Saint Petersburg 197376, Russia.
Andrei A PochtovyiFederal State Budget Institution 'National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya' of the Ministry of Health of the Russian Federation, Gamaleya st., 18, Moscow 123098, Russia.
Elizaveta V DivisenkoFederal State Budget Institution 'National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya' of the Ministry of Health of the Russian Federation, Gamaleya st., 18, Moscow 123098, Russia.
Lyudmila A VasilchenkoFederal State Budget Institution 'National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya' of the Ministry of Health of the Russian Federation, Gamaleya st., 18, Moscow 123098, Russia.
Elena V ShidlovskayaFederal State Budget Institution 'National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya' of the Ministry of Health of the Russian Federation, Gamaleya st., 18, Moscow 123098, Russia.
Nadezhda A KuznetsovaFederal State Budget Institution 'National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya' of the Ministry of Health of the Russian Federation, Gamaleya st., 18, Moscow 123098, Russia.
Coronavirus Russian Genetics Initiative (CoRGI) Consortium
Anna S SperanskayaCentral Research Institute for Epidemiology, Novogireyevskaya st., 3a, Moscow 111123, Russia.
Andrei E SamoilovCentral Research Institute for Epidemiology, Novogireyevskaya st., 3a, Moscow 111123, Russia.
Alexey D NeverovCentral Research Institute for Epidemiology, Novogireyevskaya st., 3a, Moscow 111123, Russia.
Anfisa V PopovaCentral Research Institute for Epidemiology, Novogireyevskaya st., 3a, Moscow 111123, Russia.
Gennady G FedoninCentral Research Institute for Epidemiology, Novogireyevskaya st., 3a, Moscow 111123, Russia.
CRIE Consortium
Vasiliy G AkimkinCentral Research Institute for Epidemiology, Novogireyevskaya st., 3a, Moscow 111123, Russia.
Dmitry LioznovSmorodintsev Research Institute of Influenza, Prof. Popov 15/17, Saint Petersburg 197376, Russia.
Vladimir A GushchinFederal State Budget Institution 'National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya' of the Ministry of Health of the Russian Federation, Gamaleya st., 18, Moscow 123098, Russia.
Vladimir ShchurInternational Laboratory of Statistical and Computational Genomics, HSE University, Moscow, Russia.
Georgii A BazykinSkolkovo Institute of Science and Technology (Skoltech), Nobel st., Building 1, Moscow 121205, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delta has outcompeted most preexisting variants of SARS-CoV-2, becoming the globally predominant lineage by mid-2021. Its subsequent evolution has led to the emergence of multiple sublineages, most of which are well-mixed between countries. By contrast, here we show that nearly the entire Delta epidemic in Russia has probably descended from a single import event, or from multiple closely timed imports from a single poorly sampled geographic location. Indeed, over 90 per cent of Delta samples in Russia are characterized by the nsp2:K81N + ORF7a:P45L pair of mutations which is rare outside Russia, putting them in the AY.122 sublineage. The AY.122 lineage was frequent in Russia among Delta samples from the start, and has not increased in frequency in other countries where it has been observed, suggesting that its high prevalence in Russia has probably resulted from a random founder effect rather than a transmission advantage. The apartness of the genetic composition of the Delta epidemic in Russia makes Russia somewhat unusual, although not exceptional, among other countries.

Indexed as

AY.122; Delta lineagecross-border transmission of SARS-CoV2genomic epidemiology of SARS-CoV2ORF7a:P45LSARS-CoV2 in Russia

Identifiers

PMID35371558
PMCPMC8966696

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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.