Literature DB >> 22544186

Genotyping external quality assurance in the World Health Organization HIV drug resistance laboratory network during 2007-2010.

Neil Parkin1, James Bremer, Silvia Bertagnolio.   

Abstract

The World Health Organization (WHO) has developed a global laboratory network to support human immunodeficiency virus drug resistance genotyping for public health surveillance in resource-limited countries. Blinded proficiency panels are an essential part of a genotyping quality-assurance program and are used to monitor the reliability of genotyping data in the WHO laboratory network. Laboratories in Europe, North America, Asia, Africa, and the Caribbean have tested panels annually since 2007; 103 of 131 submissions (79%) had >99% nucleotide sequence identity and resistance mutation concordance, compared with consensus. Most errors were associated with mixtures in the test specimen, leading to subjectivity in base-calling or amplification bias. Overall, genotyping assays used by the WHO laboratory network are reliable.

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Year:  2012        PMID: 22544186      PMCID: PMC3338308          DOI: 10.1093/cid/cir992

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  19 in total

1.  Results of the 2001 AcroMetrix HIV-1 resistance proficiency program.

Authors:  Paul D Neuwald; Maria B Funelas; John P DelCarmen; Arthur W Raybold; Paul A Jorgensen
Journal:  J Clin Virol       Date:  2002-12       Impact factor: 3.168

2.  Quality assessment program for genotypic antiretroviral testing improves detection of drug resistance mutations.

Authors:  D C Sayer; S Land; L Gizzarelli; M French; G Hales; S Emery; F T Christiansen; E M Dax
Journal:  J Clin Microbiol       Date:  2003-01       Impact factor: 5.948

3.  Sequence characterization of the protease and partial reverse transcriptase proteins of the NED panel, an international HIV type 1 subtype reference and standards panel.

Authors:  Diana D Huang; Thomas A Giesler; James W Bremer
Journal:  AIDS Res Hum Retroviruses       Date:  2003-04       Impact factor: 2.205

4.  Sources and magnitude of intralaboratory variability in a sequence-based genotypic assay for human immunodeficiency virus type 1 drug resistance.

Authors:  R A Galli; B Sattha; B Wynhoven; M V O'Shaughnessy; P R Harrigan
Journal:  J Clin Microbiol       Date:  2003-07       Impact factor: 5.948

5.  Performance characteristics of the TRUGENE HIV-1 Genotyping Kit and the Opengene DNA Sequencing System.

Authors:  Daniel R Kuritzkes; Robert M Grant; Paul Feorino; Marshal Griswold; Marie Hoover; Russell Young; Stephen Day; Robert M Lloyd; Caroline Reid; Gillian F Morgan; Dean L Winslow
Journal:  J Clin Microbiol       Date:  2003-04       Impact factor: 5.948

6.  Standardization of sensitive human immunodeficiency virus coculture procedures and establishment of a multicenter quality assurance program for the AIDS Clinical Trials Group. The NIH/NIAID/DAIDS/ACTG Virology Laboratories.

Authors:  F B Hollinger; J W Bremer; L E Myers; J W Gold; L McQuay
Journal:  J Clin Microbiol       Date:  1992-07       Impact factor: 5.948

7.  Sensitivity and specificity of the ViroSeq human immunodeficiency virus type 1 (HIV-1) genotyping system for detection of HIV-1 drug resistance mutations by use of an ABI PRISM 3100 genetic analyzer.

Authors:  Susan H Eshleman; Gillian Crutcher; Olga Petrauskene; Kevin Kunstman; Shawn P Cunningham; Christina Trevino; Cheryl Davis; John Kennedy; Jeff Fairman; Brian Foley; Joann Kop
Journal:  J Clin Microbiol       Date:  2005-02       Impact factor: 5.948

8.  Evaluation of the editing process in human immunodeficiency virus type 1 genotyping.

Authors:  Diana D Huang; Susan H Eshleman; Donald J Brambilla; Paul E Palumbo; James W Bremer
Journal:  J Clin Microbiol       Date:  2003-07       Impact factor: 5.948

9.  Performance of two commercially available sequence-based HIV-1 genotyping systems for the detection of drug resistance against HIV type 1 group M subtypes.

Authors:  Simon Beddows; Sarah Galpin; Shamim H Kazmi; Ambreen Ashraf; Ayman Johargy; Alexander J Frater; Natalie White; Ruth Braganza; John Clarke; Myra McClure; Jonathan N Weber
Journal:  J Med Virol       Date:  2003-07       Impact factor: 2.327

10.  Quality control trial for human immunodeficiency virus type 1 drug resistance testing using clinical samples reveals problems with detecting minority species and interpretation of test results.

Authors:  Klaus Korn; Heide Reil; Hauke Walter; Barbara Schmidt
Journal:  J Clin Microbiol       Date:  2003-08       Impact factor: 5.948

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  16 in total

1.  Evaluation of in-house genotyping assay performance using dried blood spot specimens in the Global World Health Organization laboratory network.

Authors:  Neil Parkin; Carmen de Mendoza; Rob Schuurman; Cheryl Jennings; James Bremer; Michael R Jordan; Silvia Bertagnolio
Journal:  Clin Infect Dis       Date:  2012-05       Impact factor: 9.079

2.  Update on World Health Organization HIV drug resistance prevention and assessment strategy: 2004-2011.

Authors:  M R Jordan; D E Bennett; M A Wainberg; D Havlir; S Hammer; C Yang; L Morris; M Peeters; A M Wensing; N Parkin; J B Nachega; A Phillips; A De Luca; E Geng; A Calmy; E Raizes; P Sandstrom; C P Archibald; J Perriëns; C M McClure; S Y Hong; J H McMahon; N Dedes; D Sutherland; S Bertagnolio
Journal:  Clin Infect Dis       Date:  2012-05       Impact factor: 9.079

3.  Pretreatment HIV-1 drug resistance is strongly associated with virologic failure in HIV-infected patients receiving partly active antiretroviral regimens.

Authors:  Urvi M Parikh; John W Mellors
Journal:  Future Microbiol       Date:  2012-08       Impact factor: 3.165

4.  Global trends in antiretroviral resistance in treatment-naive individuals with HIV after rollout of antiretroviral treatment in resource-limited settings: a global collaborative study and meta-regression analysis.

Authors:  Ravindra K Gupta; Michael R Jordan; Binta J Sultan; Andrew Hill; Daniel H J Davis; John Gregson; Anthony W Sawyer; Raph L Hamers; Nicaise Ndembi; Deenan Pillay; Silvia Bertagnolio
Journal:  Lancet       Date:  2012-07-23       Impact factor: 79.321

5.  Development of a proficiency testing program for the HIV-1 BED incidence assay in China.

Authors:  Hao Yan; Haiying Yu; Wenge Xing; Yao Xiao; Hui Zhang; Lijian Pei; Na Zhang; Yan Jiang
Journal:  Sci Rep       Date:  2014-03-28       Impact factor: 4.379

6.  External Quality Assessment for Next-Generation Sequencing-Based HIV Drug Resistance Testing: Unique Requirements and Challenges.

Authors:  Emma R Lee; Feng Gao; Paul Sandstrom; Hezhao Ji
Journal:  Viruses       Date:  2020-05-16       Impact factor: 5.048

7.  A quality control program within a clinical trial Consortium for PCR protocols to detect Plasmodium species.

Authors:  Steve M Taylor; Alfredo Mayor; Ghyslain Mombo-Ngoma; Hilaire M Kenguele; Smaïla Ouédraogo; Nicaise Tuikue Ndam; Happy Mkali; Grace Mwangoka; Neena Valecha; Jai Prakash Narayan Singh; Martha A Clark; Jaco J Verweij; Ayola Akim Adegnika; Carlo Severini; Michela Menegon; Eusebio Macete; Clara Menendez; Pau Cisteró; Fanta Njie; Muna Affara; Kephas Otieno; Simon Kariuki; Feiko O ter Kuile; Steven R Meshnick
Journal:  J Clin Microbiol       Date:  2014-04-16       Impact factor: 5.948

8.  Capacity building and predictors of success for HIV-1 drug resistance testing in the Asia-Pacific region and Africa.

Authors:  Sally Land; Julian Zhou; Philip Cunningham; Annette H Sohn; Thida Singtoroj; David Katzenstein; Marita Mann; David Sayer; Rami Kantor
Journal:  J Int AIDS Soc       Date:  2013-07-10       Impact factor: 5.396

9.  Estimating time of HIV-1 infection from next-generation sequence diversity.

Authors:  Vadim Puller; Richard Neher; Jan Albert
Journal:  PLoS Comput Biol       Date:  2017-10-02       Impact factor: 4.475

10.  Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing.

Authors:  Marc Noguera-Julian; Emma R Lee; Robert W Shafer; Rami Kantor; Hezhao Ji
Journal:  Viruses       Date:  2020-06-20       Impact factor: 5.818

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