Evidence map›Paper›PMID 36123226›Full record

ArticleArchives of medical research2022

A Preliminary Genomic Analysis of the Omicron Variants of SARS-CoV-2 in Central India During the third wave of the COVID-19 Pandemic.

Priyanka Singh, Sanjay Singh Negi, Anudita Bhargava, Vara Prasad Kolla, Ripu Daman Arora

Open access · greenAbstract read
In one paragraph

Article in Archives of medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Priyanka SinghDepartment of Microbiology, All India Institute of Medical Science, Raipur, Chhattisgarh, India. Electronic address: priyanka828singh@gmail.com.
Sanjay Singh NegiDepartment of Microbiology, All India Institute of Medical Science, Raipur, Chhattisgarh, India.
Anudita BhargavaDepartment of Microbiology, All India Institute of Medical Science, Raipur, Chhattisgarh, India.
Vara Prasad KollaDepartment of Biotechnology, Kalinga University, Raipur, Chhattisgarh, India.
Ripu Daman AroraDepartment of ENT, Head and Neck Surgery, All India Institute of Medical Science, Raipur, Chhattisgarh, India.
All India Institute of Medical Sciences Raipur · INKalinga University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOmicron was detected in South Africa for the first time at the month of November 2021, from then it expanded swiftly over the world, outcompeting other SARS-CoV-2 variants such as Delta. The toxicity, resistance to antiviral medicines, transmissibility, and vaccine-induced immunity of newly developed SARS-CoV-2 variants are major worldwide health concerns. AIM OF STUDY: This study investigates the comprehensive explanation of all mutations and their evolutionary linkages between the Omicron variant and recently discovered SARS-CoV-2 variants.

methodOn Illumina MiniSeq Machine, 31 RNA isolates from clinical specimens were sequenced utilizing next-generation sequencing technique. Different bioinformatics tools have been used to analyze the mutations in omicron variant. A phylogenetic tree was constructed to determine Omicron's evolutionary relationships with other variants.

resultsIn our investigation, we discovered 79 distinct types of mutations in 31 fully vaccinated COVID-19 positive samples. Mostly mutations were found in non-spike region. According to the NJ approach of phylogenetic tree revels, the nearest variants were in the order listed, based on sequence identity: Omicron, Gamma, Alpha, Delta, Mu and Beta. On the other hand as per UPGMA approach, the Omicron variation creates a novel monophyletic clade that is distinct from previous SARS-CoV-2 variants.

conclusionDespite the fact that some of the mutations are prevalent in Omicron and other VOCs, there are several unique mutations that have been connected to the virus's transmissibility and immune evasion, indicating a substantial shift in SARS-CoV-2 evolution.

Indexed as

COVID-19SARS-CoV-2Antiviral AgentsGenomicsHumansPandemicsPhylogenyRNAAntiviral AgentsRNALineageNon-structural ProteinPhylogeneticSpike

Identifiers

PMID36123226
PMCPMC9395282
OpenAlexW4292820588

What OpenQuestion holds

Textmetadata
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.