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Clinical Chemistry
Article . 2004 . Peer-reviewed
License: OUP Standard Publication Reuse
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Clinical Chemistry
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PubMed Central
Other literature type . 2004
Data sources: PubMed Central
Clinical Chemistry
Article . 2004 . Peer-reviewed
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Multiplexed Genetic Analysis Using an Expanded Genetic Alphabet

Authors: Johnson, Scott C; Marshall, David J; Harms, Gerda; Miller, Christie M; Sherrill, Christopher B; Beaty, Edward L; Lederer, Scott A; +9 Authors

Multiplexed Genetic Analysis Using an Expanded Genetic Alphabet

Abstract

AbstractBackground: All states require some kind of testing for newborns, but the policies are far from standardized. In some states, newborn screening may include genetic tests for a wide range of targets, but the costs and complexities of the newer genetic tests inhibit expansion of newborn screening. We describe the development and technical evaluation of a multiplex platform that may foster increased newborn genetic screening.Methods: MultiCode® PLx involves three major steps: PCR, target-specific extension, and liquid chip decoding. Each step is performed in the same reaction vessel, and the test is completed in ∼3 h. For site-specific labeling and room-temperature decoding, we use an additional base pair constructed from isoguanosine and isocytidine. We used the method to test for mutations within the cystic fibrosis transmembrane conductance regulator (CFTR) gene. The developed test was performed manually and by automated liquid handling. Initially, 225 samples with a range of genotypes were tested retrospectively with the method. A prospective study used samples from >400 newborns.Results: In the retrospective study, 99.1% of samples were correctly genotyped with no incorrect calls made. In the perspective study, 95% of the samples were correctly genotyped for all targets, and there were no incorrect calls.Conclusions: The unique genetic multiplexing platform was successfully able to test for 31 targets within the CFTR gene and provides accurate genotype assignments in a clinical setting.

Keywords

Biochemistry, medical, Autoanalysis, Cystic Fibrosis, Genotype, DNA Mutational Analysis, Clinical Biochemistry, Infant, Newborn, Cystic Fibrosis Transmembrane Conductance Regulator, Robotics, Polymerase Chain Reaction, Neonatal Screening, Mutation, Humans, Molecular Diagnostics and Genetics, Prospective Studies, Software, Retrospective Studies

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    47
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
47
Top 10%
Top 10%
Top 10%
Green
hybrid