Evidence map›Paper›PMID 37515139›Full record

ArticleViruses2023

Genomic Diversity and Evolution of SARS-CoV-2 Lineages in Pakistan.

Muhammad Waqar Aziz, Nadia Mukhtar, Aftab Ahamd Anjum, Muhammad Hassan Mushtaq, Muhammad Adnan Ashraf, Amar Nasir, Muhammad Furqan Shahid, Muhammad Nawaz, Muhammad Zubair Shabbir, Noreen Sarwar and 2 more

Abstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Muhammad Waqar AzizInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.ORCID 0009-0003-3447-5629
Nadia MukhtarInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.
Aftab Ahamd AnjumInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.ORCID 0000-0001-8262-8720
Muhammad Hassan MushtaqDepartment of Epidemiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.
Muhammad Adnan AshrafInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.ORCID 0000-0001-8152-5746
Amar NasirDepartment of Clinical Sciences, Sub Campus Jhang, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.
Muhammad Furqan ShahidInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.ORCID 0000-0002-5906-344X
Muhammad NawazInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.ORCID 0000-0001-6205-7350
Muhammad Zubair ShabbirInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.ORCID 0000-0002-3562-007X
Noreen SarwarInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.
Rabia TanvirInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.
Tahir YaqubInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of SARS-CoV-2 variants has posed a challenge to disease control efforts worldwide. This study explored the genomic diversity and phylogenetic relationship of SARS-CoV-2 variants reported in Pakistan. Our objective was to understand the transmission dynamics of different lineages within the country. We retrieved and analyzed spike protein sequences from Pakistan and compared them with reference sequences reported worldwide. Our analysis revealed the clustering of Pakistan-origin isolates in nine different clades representing different regions worldwide, suggesting the transmission of multiple lineages within the country. We found 96 PANGO lineages of SARS-CoV-2 in Pakistan, and 64 of these corresponded to 4 WHO-designated variants: Alpha, Beta, Delta, and Omicron. The most dominant variants in Pakistan were Alpha (B.1.1.7), Beta (B.1.351), Delta (B.1.617.2, AY.108), and Omicron (BA.2.75, BA.5.2), and the N-terminal domain and receptor binding regions were the most hypervariable regions of the spike gene. Compared to the reference strain, characteristic substitutions were found in dominant variants. Our findings emphasize the importance of continuously monitoring and assessing nucleotide and residue substitutions over time to understand virus evolutionary trends better and devise effective disease control interventions.

Indexed as

COVID-19SARS-CoV-2GenomicsHumansPakistanPhylogenyevolutiongenomic diversitylineagesphylogeneticSARS-CoV-2variants

Identifiers

PMID37515139
PMCPMC10386162

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.