Evidence map›Paper›PMID 19698187›Full record

ArticleVirology journal2009

Nucleotide identity and variability among different Pakistani hepatitis C virus isolates.

Muhammad Idrees, Sadia Butt, Zunaira Awan, Mahwish Aftab, Bushra Khubaib, Irshad-Ur Rehman, Madiha Akram, Sobia Manzoor, Haji Akbar, Shazia Rafiqe and 1 more

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Article in Virology journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Muhammad IdreesNational Centre of Excellence in Molecular Biology, 87-West Canal Bank Road Thokar Niaz Baig Lahore-53700, University of the Punjab Lahore, Pakistan. idreeskhan96@yahoo.com
Sadia Butt
Zunaira Awan
Mahwish Aftab
Bushra Khubaib
Irshad-Ur Rehman
Madiha Akram
Sobia Manzoor
Haji Akbar
Shazia Rafiqe
Sheikh Riazuddin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe variability within the hepatitis C virus (HCV) genome has formed the basis for several genotyping methods and used widely for HCV genotyping worldwide.

aimThe aim of the present study was to determine percent nucleotide identity and variability in HCV isolates prevalent in different geographical regions of Pakistan.

methodsSequencing analysis of the 5'noncoding region (5'-NCR) of 100 HCV RNA-positive patients representing all the four provinces of Pakistan were carried out using ABI PRISM 3100 Genetic Analyzer.

resultsThe results showed that type 3 is the predominant genotypes circulating in Pakistan, with an overall prevalence of 50%. Types 1 and 4 viruses were 9% and 6% respectively. The overall nucleotide similarity among different Pakistani isolates was 92.50% +/- 0.50%. Pakistani isolates from different areas showed 7.5% +/- 0.50% nucleotide variability in 5'NCR region. The percent nucleotide identity (PNI) was 98.11% +/- 0.50% within Pakistani type 1 sequences, 98.10% +/- 0.60% for type 3 sequences, and 99.80% +/- 0.20% for type 4 sequences. The PNI between different genotypes was 93.90% +/- 0.20% for type 1 and type 3, 94.80% +/- 0.12% for type 1 and type 4, and 94.40% +/- 0.22% for type 3 and type 4.

conclusionGenotype 3 is the most prevalent HCV genotype in Pakistan. Minimum and maximum percent nucleotide divergences were noted between genotype 1 and 4 and 1 and 3 respectively.

Indexed as

Genetic Variation5' Untranslated RegionsAdolescentAdultAgedBase SequenceFemaleGenotypeHepacivirusHepatitis CHumansMaleMiddle AgedMolecular Sequence DataPakistanPhylogeny5' Untranslated RegionsRNA, Viral

Identifiers

PMID19698187
PMCPMC2737312

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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.