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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2018 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Classification of Genetic Variants

Authors: Maurizio Genuardi; Elke Holinski-Feder; Andreas Laner; Alexandra Martins;

Classification of Genetic Variants

Abstract

Widespread resequencing for research and diagnostic purposes has disclosed a huge amount of genetic variability in the human genome, including the genes associated with inherited predisposition to colorectal cancer. The functional and clinical consequences of the gene variants identified are often difficult to predict. Therefore, it has becoming increasingly evident that standardized approaches for the clinical interpretation of gene variants are needed in order to maximize the clinical utility of molecular testing. In this chapter, we discuss strategies for variant classification, with special reference to hereditary colorectal cancer genes and to the functional and clinical points of evidence that are available for their interpretation.

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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!
0
Average
Average
Average
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Cancer Research
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