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Blais J, Lavoie SB, Giroux S, Bussières J, Lindsay C, Dionne J, Laroche M, Giguère Y, Rousseau F. Risk of Misdiagnosis Due to Allele Dropout and False-Positive PCR Artifacts in Molecular Diagnostics: Analysis of 30,769 Genotypes. J Mol Diagn 2015; 17:505-14. [PMID: 26146130 DOI: 10.1016/j.jmoldx.2015.04.004] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2014] [Revised: 04/12/2015] [Accepted: 04/14/2015] [Indexed: 10/23/2022] Open
Abstract
Quality control is a complex issue for clinical molecular diagnostic applications. In the case of genotyping assays, artifacts such as allele dropout represent a risk of misdiagnosis for amplification-based methods. However, its frequency of occurrence in PCR-based diagnostic assays remains unknown. To maximize the likelihood of detecting allele dropout, our clinical genotyping PCR-based assays are designed with two independent assays for each allele (nonoverlapping primers on each DNA strand). To estimate the incidence of allelic dropout, we took advantage of the capacity of our clinical assays to detect such events. We retrospectively studied their occurrence in the initial PCR assay for 30,769 patient reports for mutations involved in four diseases produced over 8 years. Ninety-three allele dropout events were detected and all were solved before reporting. In addition, 42 cases of artifacts caused by amplification of an allele ultimately confirmed to not be part of the genotype (drop-in events) were detected and solved. These artifacts affected 1:227 genotypes, 94% of which were due to nonreproducible PCR failures rather than sequence variants interfering with the assay, suggesting that careful primer design cannot prevent most of these errors. This provides a quantitative estimate for clinical laboratories to take this phenomenon into account in quality management and to favor assay designs that can detect (and minimize) occurrence of these artifacts in routine clinical use.
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Affiliation(s)
- Jonatan Blais
- Service of Medical Biochemistry, Department of Medical Biology, CHU de Québec, Quebec City, Quebec, Canada; Human and Molecular Genetics Research Unit, Research Center, CHU de Québec, Quebec City, Quebec, Canada; Department of Molecular Biology, Medical Biochemistry, and Pathology, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada
| | - Sébastien B Lavoie
- Service of Medical Biochemistry, Department of Medical Biology, CHU de Québec, Quebec City, Quebec, Canada
| | - Sylvie Giroux
- Human and Molecular Genetics Research Unit, Research Center, CHU de Québec, Quebec City, Quebec, Canada
| | - Johanne Bussières
- Human and Molecular Genetics Research Unit, Research Center, CHU de Québec, Quebec City, Quebec, Canada
| | - Carmen Lindsay
- Human and Molecular Genetics Research Unit, Research Center, CHU de Québec, Quebec City, Quebec, Canada
| | - Jacqueline Dionne
- Service of Medical Biochemistry, Department of Medical Biology, CHU de Québec, Quebec City, Quebec, Canada
| | - Mélissa Laroche
- Service of Medical Biochemistry, Department of Medical Biology, CHU de Québec, Quebec City, Quebec, Canada
| | - Yves Giguère
- Service of Medical Biochemistry, Department of Medical Biology, CHU de Québec, Quebec City, Quebec, Canada; Department of Molecular Biology, Medical Biochemistry, and Pathology, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada; APOGEE-Net/CanGèneTest Research and Knowledge Network on Genetic Health Services and Policy, Quebec City, Quebec, Canada
| | - François Rousseau
- Service of Medical Biochemistry, Department of Medical Biology, CHU de Québec, Quebec City, Quebec, Canada; Human and Molecular Genetics Research Unit, Research Center, CHU de Québec, Quebec City, Quebec, Canada; Department of Molecular Biology, Medical Biochemistry, and Pathology, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada; APOGEE-Net/CanGèneTest Research and Knowledge Network on Genetic Health Services and Policy, Quebec City, Quebec, Canada.
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Zhang C, Liu Y, Ring BZ, Nie K, Yang M, Wang M, Shen H, Wu X, Ma X. A novel multiplex tetra-primer ARMS-PCR for the simultaneous genotyping of six single nucleotide polymorphisms associated with female cancers. PLoS One 2013; 8:e62126. [PMID: 23614025 PMCID: PMC3629144 DOI: 10.1371/journal.pone.0062126] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2012] [Accepted: 03/19/2013] [Indexed: 11/18/2022] Open
Abstract
Background The tetra-primer amplification refractory mutation system PCR (T-ARMS-PCR) is a fast and economical means of assaying SNP's, requiring only PCR amplification and subsequent electrophoresis for the determination of genotypes. To improve the throughput and efficiency of T-ARMS-PCR, we combined T-ARMS-PCR with a chimeric primer-based temperature switch PCR (TSP) strategy, and used capillary electrophoresis (CE) for amplicon separation and identification. We assessed this process in the simultaneous genotyping of four breast cancer–and two cervical cancer risk–related SNPs. Methods A total of 24 T-ARMS-PCR primers, each 5′-tagged with a universal sequence and a pair of universal primers, were pooled together to amplify the 12 target alleles of 6 SNPs in 186 control female blood samples. Direct sequencing of all samples was also performed to assess the accuracy of this method. Results Of the 186 samples, as many as 11 amplicons can be produced in one single PCR and separated by CE. Genotyping results of the multiplex T-ARMS-PCR were in complete agreement with direct sequencing of all samples. Conclusions This novel multiplex T-ARMS-PCR method is the first reported method allowing one to genotype six SNPs in a single reaction with no post-PCR treatment other than electrophoresis. This method is reliable, fast, and easy to perform.
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Affiliation(s)
- Chen Zhang
- Key Laboratory for Medical Virology, Ministry of Health-National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ying Liu
- Key Laboratory for Medical Virology, Ministry of Health-National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Food Science and Engineering, College of Science and Engineering, Jinan University, Guangzhou, China
| | - Brian Z. Ring
- Institute of Genomic and Personalized Medicine, School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Kai Nie
- Key Laboratory for Medical Virology, Ministry of Health-National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mengjie Yang
- Key Laboratory for Medical Virology, Ministry of Health-National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Miao Wang
- Key Laboratory for Medical Virology, Ministry of Health-National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hongwei Shen
- Key Laboratory for Medical Virology, Ministry of Health-National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiyang Wu
- Department of Food Science and Engineering, College of Science and Engineering, Jinan University, Guangzhou, China
- * E-mail: (XM); (XW)
| | - Xuejun Ma
- Key Laboratory for Medical Virology, Ministry of Health-National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- * E-mail: (XM); (XW)
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