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Disease Markers
Article . 2004 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Disease Markers
Article
License: CC BY
Data sources: UnpayWall
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Disease Markers
Article . 2005
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PubMed Central
Other literature type . 2004
Data sources: PubMed Central
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Quasimonomorphic Mononucleotide Repeats for High‐Level Microsatellite Instability Analysis

Authors: Asad Umar; Olivier Buhard; Nirosha Suraweera; Aude Lectard; Alex Duval; Richard Hamelin;

Quasimonomorphic Mononucleotide Repeats for High‐Level Microsatellite Instability Analysis

Abstract

Microsatellite instability (MSI) analysis is becoming more and more important to detect sporadic primary tumors of the MSI phenotype as well as in helping to determine Hereditary Non‐Polyposis Colorectal Cancer (HNPCC) cases. After some years of conflicting data due to the absence of consensus markers for the MSI phenotype, a meeting held in Bethesda to clarify the situation proposed a set of 5 microsatellites (2 mononucleotide repeats and 3 dinucleotide repeats) to determine MSI tumors. A second Bethesda consensus meeting was held at the end of 2002. It was discussed here that the 1998 microsatellite panel could underestimate high‐level MSI tumors and overestimate low‐level MSI tumors. Amongst the suggested changes was the exclusive use of mononucleotide repeats in place of dinucleotide repeats. We have already proposed a pentaplex MSI screening test comprising 5 quasimonomorphic mononucleotide repeats. This article compares the advantages of mono or dinucleotide repeats in determining microsatellite instability.

Keywords

Polymorphism, Genetic, DNA Sequence, Unstable, Sequence Analysis, DNA, Colorectal Neoplasms, Hereditary Nonpolyposis, Sensitivity and Specificity, Genomic Instability, Phenotype, Mutation, Biomarkers, Tumor, Humans, Other, Colorectal Neoplasms, Alleles, Microsatellite Repeats, Repetitive Sequences, Nucleic Acid

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    selected citations
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    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).
    155
    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    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!
155
Top 1%
Top 10%
Top 10%
Green
gold
Related to Research communities
Cancer Research