Literature DB >> 15858148

A novel method for creating artificial mutant samples for performance evaluation and quality control in clinical molecular genetics.

Michael Jarvis1, Ramaswamy K Iyer, Laurina O Williams, Walter W Noll, Kirk Thomas, Milhan Telatar, Wayne W Grody.   

Abstract

The lack of readily available, patient-derived materials for molecular genetic testing of many heterozygous or rare disorders creates a major impediment for laboratory proficiency and quality control procedures. The paucity of clinically derived mutation-positive samples could be surmounted if it were possible to construct artificial samples containing mutations of interest that would sufficiently resemble natural human samples. Such samples could then function as acceptable and realistic performance evaluation challenges and quality control reagents for recipient laboratories. Using the cystic fibrosis gene (CFTR) as a prototype, we have devised and executed experiments designed to generate unique DNA samples that could be used for these purposes. We used site-directed mutagenesis to generate mutations of interest in plasmid DNA derived from common bacterial artificial chromosome sources containing the cystic fibrosis transmembrane conductance receptor gene. CFTR mutations G85E and 1078delT were chosen to represent mutations in the original American College of Medical Genetics-recommended population-screening panel of 25 mutations. DNA samples containing predetermined concentrations and ratios of wild-type and mutated plasmids, bacterial artificial chromosomes of interest, and nonhuman genomic carrier DNA were characterized and tested in-house and in a group of nine pilot testing laboratories using a variety of technical platforms. The results indicate that these constructs, containing CFTR mutations in heterozygous and homozygous states, can serve as valid and accessible materials for quality assurance, including performance evaluation, proficiency testing, and assay quality control.

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Year:  2005        PMID: 15858148      PMCID: PMC1867527          DOI: 10.1016/S1525-1578(10)60551-X

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  12 in total

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3.  Quest for controls in molecular genetics.

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Journal:  J Mol Diagn       Date:  2003-11       Impact factor: 5.568

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Authors:  Susan H Bernacki; Ana K Stankovic; Laurina O Williams; Jeanne C Beck; James E Herndon; Karen Snow-Bailey; Thomas W Prior; Karla J Matteson; Linda M Wasserman; Eugene C Cole; Timothy T Stenzel
Journal:  J Mol Diagn       Date:  2003-11       Impact factor: 5.568

5.  Single tube multiplex PCR detection of 27 cystic fibrosis mutations and 4 polymorphisms using neonatal blood samples collected on Guthrie cards.

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6.  Diversity of cystic fibrosis mutation-screening practices.

Authors:  W W Grody; R J Desnick; N J Carpenter; W W Noll
Journal:  Am J Hum Genet       Date:  1998-05       Impact factor: 11.025

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Authors:  W W Grody; G R Cutting; K W Klinger; C S Richards; M S Watson; R J Desnick
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9.  Analytic validity of cystic fibrosis testing: a preliminary estimate.

Authors:  Glenn E Palomaki; Linda A Bradley; C Sue Richards; James E Haddow
Journal:  Genet Med       Date:  2003 Jan-Feb       Impact factor: 8.822

10.  Cystic fibrosis population carrier screening: 2004 revision of American College of Medical Genetics mutation panel.

Authors:  Michael S Watson; Garry R Cutting; Robert J Desnick; Deborah A Driscoll; Katherine Klinger; Michael Mennuti; Glenn E Palomaki; Bradley W Popovich; Victoria M Pratt; Elizabeth M Rohlfs; Charles M Strom; C Sue Richards; David R Witt; Wayne W Grody
Journal:  Genet Med       Date:  2004 Sep-Oct       Impact factor: 8.822

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Authors:  M Makhoul; C Rambla; K P Voss-Fels; L T Hickey; R J Snowdon; C Obermeier
Journal:  Theor Appl Genet       Date:  2020-06-04       Impact factor: 5.699

4.  The reliable assurance of detecting somatic mutations in cancer-related genes by next-generation sequencing: the results of external quality assessment in China.

Authors:  Rui Zhang; Jiansheng Ding; Yanxi Han; Lang Yi; Jiehong Xie; Xin Yang; Gaowei Fan; Guojing Wang; Mingju Hao; Dong Zhang; Kuo Zhang; Guigao Lin; Jinming Li
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  4 in total

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