Identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach

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Karageorgos, I., Mizzi, C., Giannopoulou, E., Pavlidis, C., Peters, B., Zagoriti, Z., Stenson, P., Mitropoulos, K., Borg, J., Kalofonos, H., Drmanac, R., Stubbs, A., van der Spek, P., Cooper, D., Katsila, T. and Patrinos, G. 2015. Identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach. Human Genomics. 9 (1), pp. 1-10. https://doi.org/10.1186/s40246-015-0034-2
TypeArticle
TitleIdentification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach
AuthorsKarageorgos, I., Mizzi, C., Giannopoulou, E., Pavlidis, C., Peters, B., Zagoriti, Z., Stenson, P., Mitropoulos, K., Borg, J., Kalofonos, H., Drmanac, R., Stubbs, A., van der Spek, P., Cooper, D., Katsila, T. and Patrinos, G.
Abstract

Cancer, like many common disorders, has a complex etiology, often with a strong genetic component and with multiple environmental factors contributing to susceptibility. A considerable number of genomic variants have been previously reported to be causative of, or associated with, an increased risk for various types of cancer. Here, we adopted a next-generation sequencing approach in 11 members of two families of Greek descent to identify all genomic variants with the potential to predispose family members to cancer. Cross-comparison with data from the Human Gene Mutation Database identified a total of 571 variants, from which 47 % were disease-associated polymorphisms, 26 % disease-associated polymorphisms with additional supporting functional evidence, 19 % functional polymorphisms with in vitro/laboratory or in vivo supporting evidence but no known disease association, 4 % putative disease-causing mutations but with some residual doubt as to their pathological significance, and 3 % disease-causing mutations. Subsequent analysis, focused on the latter variant class most likely to be involved in cancer predisposition, revealed two variants of prime interest, namely MSH2 c.2732T>A (p.L911R) and BRCA1 c.2955delC, the first of which is novel. KMT2D c.13895delC and c.1940C>A variants are additionally reported as incidental findings. The next-generation sequencing-based family genomics approach described herein has the potential to be applied to other types of complex genetic disorder in order to identify variants of potential pathological significance.

PublisherBioMed Central
JournalHuman Genomics
ISSN1473-9542
Electronic1479-7364
Publication dates
Online20 Jun 2015
Print31 Dec 2015
Publication process dates
Deposited24 Apr 2020
Accepted11 Jun 2015
Output statusPublished
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Copyright Statement

© 2015 Karageorgos et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Digital Object Identifier (DOI)https://doi.org/10.1186/s40246-015-0034-2
LanguageEnglish
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