Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782380749796671488 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4499216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT karageorgosioannis identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT mizziclint identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT giannopoulouefstathia identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT pavlidiscristiana identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT petersbrocka identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT zagoritizoi identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT stensonpeterd identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT mitropouloskonstantinos identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT borgjoseph identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT kalofonosharalabosp identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT drmanacradoje identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT stubbsandrew identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT vanderspekpeter identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT cooperdavidn identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT katsilatheodora identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach AT patrinosgeorgep identificationofcancerpredispositionvariantsinapparentlyhealthyindividualsusinganextgenerationsequencingbasedfamilygenomicsapproach |