Literature DB >> 9650932

Algorithmic approach to high-throughput molecular screening for alpha interferon-resistant genotypes in hepatitis C patients.

S Sreevatsan1, J B Bookout, F M Ringpis, M R Pottathil, D J Marshall, M De Arruda, C Murvine, L Fors, R M Pottathil, R R Barathur.   

Abstract

This study was designed to analyze the feasibility and validity of using Cleavase Fragment Length Polymorphism (CFLP) analysis as an alternative to DNA sequencing for high-throughput screening of hepatitis C virus (HCV) genotypes in a high-volume molecular pathology laboratory setting. By using a 244-bp amplicon from the 5' untranslated region of the HCV genome, 61 clinical samples received for HCV reverse transcription-PCR (RT-PCR) were genotyped by this method. The genotype frequencies assigned by the CFLP method were 44.3% for type 1a, 26.2% for 1b, 13.1% for type 2b, and 5% type 3a. The results obtained by nucleotide sequence analysis provided 100% concordance with those obtained by CFLP analysis at the major genotype level, with resolvable differences as to subtype designations for five samples. CFLP analysis-derived HCV genotype frequencies also concurred with the national estimates (N. N. Zein et al., Ann. Intern. Med. 125:634-639, 1996). Reanalysis of 42 of these samples in parallel in a different research laboratory reproduced the CFLP fingerprints for 100% of the samples. Similarly, the major subtype designations for 19 samples subjected to different incubation temperature-time conditions were also 100% reproducible. Comparative cost analysis for genotyping of HCV by line probe assay, CFLP analysis, and automated DNA sequencing indicated that the average cost per amplicon was lowest for CFLP analysis, at $20 (direct costs). On the basis of these findings we propose that CFLP analysis is a robust, sensitive, specific, and an economical method for large-scale screening of HCV-infected patients for alpha interferon-resistant HCV genotypes. The paper describes an algorithm that uses as a reflex test the RT-PCR-based qualitative screening of samples for HCV detection and also addresses genotypes that are ambiguous.

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Year:  1998        PMID: 9650932      PMCID: PMC104948     

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  27 in total

1.  Analysis of hepatitis C virus genotypes by a line probe assay and correlation with antibody profiles.

Authors:  L J van Doorn; B Kleter; L Stuyver; G Maertens; H Brouwer; S Schalm; R Heijtink; W Quint
Journal:  J Hepatol       Date:  1994-07       Impact factor: 25.083

2.  Determination of hepatitis C virus genotypes in the United States by cleavase fragment length polymorphism analysis.

Authors:  D J Marshall; L M Heisler; V Lyamichev; C Murvine; D M Olive; G D Ehrlich; B P Neri; M de Arruda
Journal:  J Clin Microbiol       Date:  1997-12       Impact factor: 5.948

3.  Identification of hepatitis C virus genotypes among hospitalized patients in British Columbia, Canada.

Authors:  M Altamirano; A Delaney; A Wong; J Marostenmaki; D Pi
Journal:  J Infect Dis       Date:  1995-04       Impact factor: 5.226

4.  Hepatitis C virus genotypes: an investigation of type-specific differences in geographic origin and disease.

Authors:  G Dusheiko; H Schmilovitz-Weiss; D Brown; F McOmish; P L Yap; S Sherlock; N McIntyre; P Simmonds
Journal:  Hepatology       Date:  1994-01       Impact factor: 17.425

5.  The natural history of community-acquired hepatitis C in the United States. The Sentinel Counties Chronic non-A, non-B Hepatitis Study Team.

Authors:  M J Alter; H S Margolis; K Krawczynski; F N Judson; A Mares; W J Alexander; P Y Hu; J K Miller; M A Gerber; R E Sampliner
Journal:  N Engl J Med       Date:  1992-12-31       Impact factor: 91.245

6.  Different genotypes of hepatitis C virus are associated with different severity of chronic liver disease.

Authors:  G Pozzato; S Kaneko; M Moretti; L S Crocè; F Franzin; M Unoura; L Bercich; C Tiribelli; M Crovatto; G Santini
Journal:  J Med Virol       Date:  1994-07       Impact factor: 2.327

7.  Entire nucleotide sequence and characterization of a hepatitis C virus of genotype V/3a.

Authors:  M Sakamoto; Y Akahane; F Tsuda; T Tanaka; D G Woodfield; H Okamoto
Journal:  J Gen Virol       Date:  1994-07       Impact factor: 3.891

8.  Application of six hepatitis C virus genotyping systems to sera from chronic hepatitis C patients in the United States.

Authors:  J Y Lau; M Mizokami; J A Kolberg; G L Davis; L E Prescott; T Ohno; R P Perrillo; K L Lindsay; R G Gish; K P Qian
Journal:  J Infect Dis       Date:  1995-02       Impact factor: 5.226

9.  Survey of major genotypes and subtypes of hepatitis C virus using RFLP of sequences amplified from the 5' non-coding region.

Authors:  F Davidson; P Simmonds; J C Ferguson; L M Jarvis; B C Dow; E A Follett; C R Seed; T Krusius; C Lin; G A Medgyesi
Journal:  J Gen Virol       Date:  1995-05       Impact factor: 3.891

Review 10.  Variability of hepatitis C virus.

Authors:  P Simmonds
Journal:  Hepatology       Date:  1995-02       Impact factor: 17.425

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  5 in total

Review 1.  Principles and applications of methods for DNA-based typing of microbial organisms.

Authors:  D M Olive; P Bean
Journal:  J Clin Microbiol       Date:  1999-06       Impact factor: 5.948

2.  Genotyping of hepatitis C virus types 1, 2, 3, and 4 by a one-step LightCycler method using three different pairs of hybridization probes.

Authors:  Matthias Schröter; Bernhard Zöllner; Peter Schäfer; Olfert Landt; Ulrich Lass; Rainer Laufs; Heinz-Hubert Feucht
Journal:  J Clin Microbiol       Date:  2002-06       Impact factor: 5.948

3.  Vertical transmission of Chlamydia trachomatis in Chongqing China.

Authors:  Jialin Yu; Shixiao Wu; Fang Li; Linyan Hu
Journal:  Curr Microbiol       Date:  2009-01-03       Impact factor: 2.188

4.  Detection of germline BRCA1 mutations by Multiple-Dye Cleavase Fragment Length Polymorphism (MD-CFLP) method.

Authors:  S Casadei; L Cortesi; V Pensotti; P Radice; M Pierotti; D Amadori; D Calistri
Journal:  Br J Cancer       Date:  2001-09-14       Impact factor: 7.640

5.  Most common genotypes and risk factors for HCV in Gaza strip: a cross sectional study.

Authors:  Basim M Ayesh; Sofia S Zourob; Salah Y Abu-Jadallah; Yonat Shemer-Avni
Journal:  Virol J       Date:  2009-07-16       Impact factor: 4.099

  5 in total

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