Evidence map›Paper›PMID 32300673›Full record

ArticleGene reports2020

Genomic characterization of a novel SARS-CoV-2.

Rozhgar A Khailany, Muhamad Safdar, Mehmet Ozaslan

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Gene reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 446 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
446citing papers in PubMed, 2 pooled it
20.7field-weighted citation impact, top 1% 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

446 citing papers in PubMed, 2 syntheses or guidelines pooled it, 898 citations in OpenAlex.

  1. Pooled it
  2. COVID-19 pandemic: the delta variant, T-cell responses, and the efficacy of developing vaccines.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2022
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386 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 3 countries.

Rozhgar A KhailanyDepartment of Biology, College of Science, University of Salahaddin-Erbil, Iraq.
Muhamad SafdarDepartment of Breeding and Genetics, Cholistan University of Veterinary & Animal Sciences, Bahawalpur 63100, Pakistan.
Mehmet OzaslanDepartment of Biology, Gaziantep University, 27310 Gaziantep, Turkey.
Gaziantep University · TRSalahaddin University-Erbil · IQUniversity of Veterinary and Animal Sciences · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) associated with human to human transmission and extreme human sickness has been as of late announced from the city of Wuhan in China. Our objectives were to mutation analysis between recently reported genomes at various times and locations and to characterize the genomic structure of SARS-CoV-2 using bioinformatics programs. Information on the variation of viruses is of considerable medical and biological impacts on the prevention, diagnosis, and therapy of infectious diseases. To understand the genomic structure and variations of the SARS-CoV-2. The study analyzed 95 SARS-CoV-2 complete genome sequences available in GenBank, National MicrobiologyData Center (NMDC) and NGDC Genome Warehouse from December-2019 until 05 of April-2020. The genomic signature analysis demonstrates that a strong association between the time of sample collection, location of sample and accumulation of genetic diversity. We found 116 mutations, the three most common mutations were 8782C>T in ORF1ab gene, 28144T>C in ORF8 gene and 29095C>T in the N gene. The mutations might affect the severity and spread of the SARS-CoV-2. The finding heavily supports an intense requirement for additional prompt, inclusive investigations that combine genomic detail, epidemiological information and graph records of the clinical features of patients with COVID-19.

Indexed as

BLAST, Basic Local Alignment Search ToolCDC, Centers of Disease Control and PreventionCOVID-19COVID-19, Coronavirus disease 2019EMBOSS, The European Molecular Biology Open Software SuiteGenomic characterizationMERS, Middle East Respiratory SyndromeMutationNCBI, National Center for Biotechnology InformationNGDC, National Genomics Data CenterNMDC, National Microbiology Data CenterNSP, nonstructural proteinORF, Open Reading FrameSARS-CoV-2SARS-CoV-2, severe acute respiratory syndrome coronavirus 2UTR, Untranslated regionWHO, World Health Organization

Identifiers

PMID32300673
PMCPMC7161481
OpenAlexW3016636971

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.