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Evaluating DNA Sequence Variants of Unknown Biological Significance

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Book cover Clinical Bioinformatics

Part of the book series: Methods in Molecular Medicine™ ((MIMM,volume 141))

Summary

Increasingly, the molecular genetics laboratory has to assess the biological significance of changes (variants) in a DNA sequence. Using the large genes BRCA1 and BRCA2 as examples, some approaches used to determine the biological significance of DNA variants are described. These include the characterization of the variant through a review of the literature and the various databases to assess if it has previously been described. Potential difficulties with the various databases that are available are described. Other considerations include the co-inheritance of the variant with other DNA changes, and its evolutionary conservation. Determining the possible effect of the variant on protein function is described in terms of the Grantham assessment as well as identifying functional domains. Studies looking at the distribution of the variant in both the population and the family can also help in assessing its significance. Loss of the variant in a tumor sample would imply that it is not deleterious. Ultimately, it is not any single parameter that helps determine the DNA variants biological significance. Usually this requires multiple lines of evidence.

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Abbreviations

ESE:

exonic splicing enhancer

HGVS:

Human Genome Variation Society

OMIM:

Online Mendelian Inheritance in Man

LSDB:

Locus Specific Data Base

UTR:

untranslated region

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© 2008 Humana Press, a part of Springer Science+Business Media, LLC

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Grist, S.A., Dubowsky, A., Suthers, G. (2008). Evaluating DNA Sequence Variants of Unknown Biological Significance. In: Trent, R.J. (eds) Clinical Bioinformatics. Methods in Molecular Medicine™, vol 141. Humana Press. https://doi.org/10.1007/978-1-60327-148-6_11

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  • DOI: https://doi.org/10.1007/978-1-60327-148-6_11

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-58829-791-4

  • Online ISBN: 978-1-60327-148-6

  • eBook Packages: Springer Protocols

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