Literature DB >> 10834394

Standardization and quality control of PCR analyses.

H J Burkardt1.   

Abstract

In the very beginning of polymerase chain reaction (PCR) tests entering the field of diagnosis of infectious agents, the introduction of this technology into routine diagnosis was hampered by its frequent tendency to create false-positive results because of contamination. This problem is now widely solved by the introduction of the uracil-N-glycosylase (UNG) anticontamination technology. However, care must still be taken to avoid other sources of producing false positive results. They might additionally derive from human error and/or insufficient PCR amplification and detection protocols. A special case lies in the fact that PCR also amplifies DNA from dead organisms rendering a result diagnostically correct as positive, but clinically as false-positive. In PCR, as in any other diagnostic test, the risk of creating a false-negative result also exists. In such a case, the most probable source besides human error, low target or poor amplification and detection protocols is an inhibition caused by interfering substances in a patient's sample. Strategies to recognize and overcome this issue are discussed in this article. Finally a few results from quality control studies on amplification technologies in the diagnosis of infectious agents are reviewed.

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Mesh:

Year:  2000        PMID: 10834394     DOI: 10.1515/CCLM.2000.014

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  31 in total

Review 1.  Molecular diagnostics in preimplantation genetic diagnosis.

Authors:  Alan R Thornhill; Karen Snow
Journal:  J Mol Diagn       Date:  2002-02       Impact factor: 5.568

2.  Removal of PCR inhibitors by silica membranes: evaluating the Amplicor Mycobacterium tuberculosis kit.

Authors:  B Böddinghaus; T A Wichelhaus; V Brade; T Bittner
Journal:  J Clin Microbiol       Date:  2001-10       Impact factor: 5.948

Review 3.  Specificity and performance of PCR detection assays for microbial pathogens.

Authors:  Konrad Sachse
Journal:  Mol Biotechnol       Date:  2004-01       Impact factor: 2.695

4.  Kinetic Outlier Detection (KOD) in real-time PCR.

Authors:  Tzachi Bar; Anders Ståhlberg; Anders Muszta; Mikael Kubista
Journal:  Nucleic Acids Res       Date:  2003-09-01       Impact factor: 16.971

5.  Diagnosis of extrapulmonary tuberculosis by smear, culture, and PCR using universal sample processing technology.

Authors:  Soumitesh Chakravorty; Manas Kamal Sen; Jaya Sivaswami Tyagi
Journal:  J Clin Microbiol       Date:  2005-09       Impact factor: 5.948

Review 6.  Nucleic acid amplification testing for Neisseria gonorrhoeae: an ongoing challenge.

Authors:  David M Whiley; John W Tapsall; Theo P Sloots
Journal:  J Mol Diagn       Date:  2006-02       Impact factor: 5.568

7.  Application of traditional clinical pathology quality control techniques to molecular pathology.

Authors:  Shu-Ling Liang; Ming-Tseh Lin; Michael J Hafez; Christopher D Gocke; Kathleen M Murphy; Lori J Sokoll; James R Eshleman
Journal:  J Mol Diagn       Date:  2008-02-07       Impact factor: 5.568

8.  Advances and prospects for molecular diagnostics of fungal infections.

Authors:  Stéphane Bretagne
Journal:  Curr Infect Dis Rep       Date:  2010-11       Impact factor: 3.725

9.  Design and validation of an H5 TaqMan real-time one-step reverse transcription-PCR and confirmatory assays for diagnosis and verification of influenza A virus H5 infections in humans.

Authors:  Joanna S Ellis; Joanne W Smith; Sharleen Braham; Matthew Lock; Katrina Barlow; Maria C Zambon
Journal:  J Clin Microbiol       Date:  2007-03-14       Impact factor: 5.948

10.  Analysis of an IS2404-based nested PCR for diagnosis of Buruli ulcer disease in regions of Ghana where the disease is endemic.

Authors:  Ymkje Stienstra; Tjip S van der Werf; Jeannette Guarner; Pratima L Raghunathan; Ellen A Spotts Whitney; Winette T A van der Graaf; Kwame Asamoa; Jordan W Tappero; David A Ashford; C Harold King
Journal:  J Clin Microbiol       Date:  2003-02       Impact factor: 5.948

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