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

Karageorgos, Ioannis, Mizzi, Clint, Giannopoulou, Efstathia, Pavlidis, Cristiana, Peters, Brock A., Zagoriti, Zoi, Stenson, Peter Daniel, Mitropoulos, Konstantinos, Borg, Joseph, Kalofonos, Haralabos P., Drmanac, Radoje, Stubbs, Andrew, van der Spek, Peter, Cooper, David Neil, Katsila, Theodora and Patrinos, George P. 2015. Identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach. Human Genomics 9 , 12. 10.1186/s40246-015-0034-2

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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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
Subjects: Q Science > QH Natural history > QH426 Genetics
R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Publisher: Henry Stuart Publications
ISSN: 1479-7364
Date of First Compliant Deposit: 30 March 2016
Date of Acceptance: 11 June 2015
Last Modified: 10 Jun 2019 13:27
URI: http://orca.cf.ac.uk/id/eprint/84070

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