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

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...

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Autores principales: Karageorgos, Ioannis, Mizzi, Clint, Giannopoulou, Efstathia, Pavlidis, Cristiana, Peters, Brock A., Zagoriti, Zoi, Stenson, Peter D., Mitropoulos, Konstantinos, Borg, Joseph, Kalofonos, Haralabos P., Drmanac, Radoje, Stubbs, Andrew, van der Spek, Peter, Cooper, David N., Katsila, Theodora, Patrinos, George P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499216/
https://www.ncbi.nlm.nih.gov/pubmed/26092435
http://dx.doi.org/10.1186/s40246-015-0034-2
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author Karageorgos, Ioannis
Mizzi, Clint
Giannopoulou, Efstathia
Pavlidis, Cristiana
Peters, Brock A.
Zagoriti, Zoi
Stenson, Peter D.
Mitropoulos, Konstantinos
Borg, Joseph
Kalofonos, Haralabos P.
Drmanac, Radoje
Stubbs, Andrew
van der Spek, Peter
Cooper, David N.
Katsila, Theodora
Patrinos, George P.
author_facet Karageorgos, Ioannis
Mizzi, Clint
Giannopoulou, Efstathia
Pavlidis, Cristiana
Peters, Brock A.
Zagoriti, Zoi
Stenson, Peter D.
Mitropoulos, Konstantinos
Borg, Joseph
Kalofonos, Haralabos P.
Drmanac, Radoje
Stubbs, Andrew
van der Spek, Peter
Cooper, David N.
Katsila, Theodora
Patrinos, George P.
author_sort Karageorgos, Ioannis
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40246-015-0034-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-44992162015-07-12 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 D. Mitropoulos, Konstantinos Borg, Joseph Kalofonos, Haralabos P. Drmanac, Radoje Stubbs, Andrew van der Spek, Peter Cooper, David N. Katsila, Theodora Patrinos, George P. Hum Genomics Primary Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40246-015-0034-2) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-20 /pmc/articles/PMC4499216/ /pubmed/26092435 http://dx.doi.org/10.1186/s40246-015-0034-2 Text en © Karageorgos et al. 2015 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.
spellingShingle Primary Research
Karageorgos, Ioannis
Mizzi, Clint
Giannopoulou, Efstathia
Pavlidis, Cristiana
Peters, Brock A.
Zagoriti, Zoi
Stenson, Peter D.
Mitropoulos, Konstantinos
Borg, Joseph
Kalofonos, Haralabos P.
Drmanac, Radoje
Stubbs, Andrew
van der Spek, Peter
Cooper, David N.
Katsila, Theodora
Patrinos, George P.
Identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach
title Identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach
title_full Identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach
title_fullStr Identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach
title_full_unstemmed Identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach
title_short Identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach
title_sort identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499216/
https://www.ncbi.nlm.nih.gov/pubmed/26092435
http://dx.doi.org/10.1186/s40246-015-0034-2
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