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Identification of rare germline copy number variations over-represented in five human cancer types

BACKGROUND: Copy number variations (CNVs) are increasingly recognized as significant disease susceptibility markers in many complex disorders including cancer. The availability of a large number of chromosomal copy number profiles in both malignant and normal tissues in cancer patients presents an o...

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Autores principales: Park, Richard W, Kim, Tae-Min, Kasif, Simon, Park, Peter J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381456/
https://www.ncbi.nlm.nih.gov/pubmed/25644941
http://dx.doi.org/10.1186/s12943-015-0292-6
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author Park, Richard W
Kim, Tae-Min
Kasif, Simon
Park, Peter J
author_facet Park, Richard W
Kim, Tae-Min
Kasif, Simon
Park, Peter J
author_sort Park, Richard W
collection PubMed
description BACKGROUND: Copy number variations (CNVs) are increasingly recognized as significant disease susceptibility markers in many complex disorders including cancer. The availability of a large number of chromosomal copy number profiles in both malignant and normal tissues in cancer patients presents an opportunity to characterize not only somatic alterations but also germline CNVs, which may confer increased risk for cancer. RESULTS: We explored the germline CNVs in five cancer cohorts from the Cancer Genome Atlas (TCGA) consisting of 351 brain, 336 breast, 342 colorectal, 370 renal, and 314 ovarian cancers, genotyped on Affymetrix SNP6.0 arrays. Comparing these to ~3000 normal controls from another study, our case–control association study revealed 39 genomic loci (9 brain, 3 breast, 4 colorectal, 11 renal, and 12 ovarian cancers) as potential candidates of tumor susceptibility loci. Many of these loci are new and in some cases are associated with a substantial increase in disease risk. The majority of the observed loci do not overlap with coding sequences; however, several observed genomic loci overlap with known cancer genes including RET in brain cancers, ERBB2 in renal cell carcinomas, and DCC in ovarian cancers, all of which have not been previously associated with germline changes in cancer. CONCLUSIONS: This large-scale genome-wide association study for CNVs across multiple cancer types identified several novel rare germline CNVs as cancer predisposing genomic loci. These loci can potentially serve as clinically useful markers conferring increased cancer risk. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12943-015-0292-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-43814562015-04-02 Identification of rare germline copy number variations over-represented in five human cancer types Park, Richard W Kim, Tae-Min Kasif, Simon Park, Peter J Mol Cancer Research BACKGROUND: Copy number variations (CNVs) are increasingly recognized as significant disease susceptibility markers in many complex disorders including cancer. The availability of a large number of chromosomal copy number profiles in both malignant and normal tissues in cancer patients presents an opportunity to characterize not only somatic alterations but also germline CNVs, which may confer increased risk for cancer. RESULTS: We explored the germline CNVs in five cancer cohorts from the Cancer Genome Atlas (TCGA) consisting of 351 brain, 336 breast, 342 colorectal, 370 renal, and 314 ovarian cancers, genotyped on Affymetrix SNP6.0 arrays. Comparing these to ~3000 normal controls from another study, our case–control association study revealed 39 genomic loci (9 brain, 3 breast, 4 colorectal, 11 renal, and 12 ovarian cancers) as potential candidates of tumor susceptibility loci. Many of these loci are new and in some cases are associated with a substantial increase in disease risk. The majority of the observed loci do not overlap with coding sequences; however, several observed genomic loci overlap with known cancer genes including RET in brain cancers, ERBB2 in renal cell carcinomas, and DCC in ovarian cancers, all of which have not been previously associated with germline changes in cancer. CONCLUSIONS: This large-scale genome-wide association study for CNVs across multiple cancer types identified several novel rare germline CNVs as cancer predisposing genomic loci. These loci can potentially serve as clinically useful markers conferring increased cancer risk. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12943-015-0292-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-03 /pmc/articles/PMC4381456/ /pubmed/25644941 http://dx.doi.org/10.1186/s12943-015-0292-6 Text en © Park et al.; licensee BioMed Central. 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 Research
Park, Richard W
Kim, Tae-Min
Kasif, Simon
Park, Peter J
Identification of rare germline copy number variations over-represented in five human cancer types
title Identification of rare germline copy number variations over-represented in five human cancer types
title_full Identification of rare germline copy number variations over-represented in five human cancer types
title_fullStr Identification of rare germline copy number variations over-represented in five human cancer types
title_full_unstemmed Identification of rare germline copy number variations over-represented in five human cancer types
title_short Identification of rare germline copy number variations over-represented in five human cancer types
title_sort identification of rare germline copy number variations over-represented in five human cancer types
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381456/
https://www.ncbi.nlm.nih.gov/pubmed/25644941
http://dx.doi.org/10.1186/s12943-015-0292-6
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