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Patterns and functional implications of rare germline variants across 12 cancer types
Large-scale cancer sequencing data enable discovery of rare germline cancer susceptibility variants. Here we systematically analyse 4,034 cases from The Cancer Genome Atlas cancer cases representing 12 cancer types. We find that the frequency of rare germline truncations in 114 cancer-susceptibility...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4703835/ https://www.ncbi.nlm.nih.gov/pubmed/26689913 http://dx.doi.org/10.1038/ncomms10086 |
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author | Lu, Charles Xie, Mingchao Wendl, Michael C. Wang, Jiayin McLellan, Michael D. Leiserson, Mark D. M. Huang, Kuan-lin Wyczalkowski, Matthew A. Jayasinghe, Reyka Banerjee, Tapahsama Ning, Jie Tripathi, Piyush Zhang, Qunyuan Niu, Beifang Ye, Kai Schmidt, Heather K. Fulton, Robert S. McMichael, Joshua F. Batra, Prag Kandoth, Cyriac Bharadwaj, Maheetha Koboldt, Daniel C. Miller, Christopher A. Kanchi, Krishna L. Eldred, James M. Larson, David E. Welch, John S. You, Ming Ozenberger, Bradley A. Govindan, Ramaswamy Walter, Matthew J. Ellis, Matthew J. Mardis, Elaine R. Graubert, Timothy A. Dipersio, John F. Ley, Timothy J. Wilson, Richard K. Goodfellow, Paul J. Raphael, Benjamin J. Chen, Feng Johnson, Kimberly J. Parvin, Jeffrey D. Ding, Li |
author_facet | Lu, Charles Xie, Mingchao Wendl, Michael C. Wang, Jiayin McLellan, Michael D. Leiserson, Mark D. M. Huang, Kuan-lin Wyczalkowski, Matthew A. Jayasinghe, Reyka Banerjee, Tapahsama Ning, Jie Tripathi, Piyush Zhang, Qunyuan Niu, Beifang Ye, Kai Schmidt, Heather K. Fulton, Robert S. McMichael, Joshua F. Batra, Prag Kandoth, Cyriac Bharadwaj, Maheetha Koboldt, Daniel C. Miller, Christopher A. Kanchi, Krishna L. Eldred, James M. Larson, David E. Welch, John S. You, Ming Ozenberger, Bradley A. Govindan, Ramaswamy Walter, Matthew J. Ellis, Matthew J. Mardis, Elaine R. Graubert, Timothy A. Dipersio, John F. Ley, Timothy J. Wilson, Richard K. Goodfellow, Paul J. Raphael, Benjamin J. Chen, Feng Johnson, Kimberly J. Parvin, Jeffrey D. Ding, Li |
author_sort | Lu, Charles |
collection | PubMed |
description | Large-scale cancer sequencing data enable discovery of rare germline cancer susceptibility variants. Here we systematically analyse 4,034 cases from The Cancer Genome Atlas cancer cases representing 12 cancer types. We find that the frequency of rare germline truncations in 114 cancer-susceptibility-associated genes varies widely, from 4% (acute myeloid leukaemia (AML)) to 19% (ovarian cancer), with a notably high frequency of 11% in stomach cancer. Burden testing identifies 13 cancer genes with significant enrichment of rare truncations, some associated with specific cancers (for example, RAD51C, PALB2 and MSH6 in AML, stomach and endometrial cancers, respectively). Significant, tumour-specific loss of heterozygosity occurs in nine genes (ATM, BAP1, BRCA1/2, BRIP1, FANCM, PALB2 and RAD51C/D). Moreover, our homology-directed repair assay of 68 BRCA1 rare missense variants supports the utility of allelic enrichment analysis for characterizing variants of unknown significance. The scale of this analysis and the somatic-germline integration enable the detection of rare variants that may affect individual susceptibility to tumour development, a critical step toward precision medicine. |
format | Online Article Text |
id | pubmed-4703835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47038352016-01-22 Patterns and functional implications of rare germline variants across 12 cancer types Lu, Charles Xie, Mingchao Wendl, Michael C. Wang, Jiayin McLellan, Michael D. Leiserson, Mark D. M. Huang, Kuan-lin Wyczalkowski, Matthew A. Jayasinghe, Reyka Banerjee, Tapahsama Ning, Jie Tripathi, Piyush Zhang, Qunyuan Niu, Beifang Ye, Kai Schmidt, Heather K. Fulton, Robert S. McMichael, Joshua F. Batra, Prag Kandoth, Cyriac Bharadwaj, Maheetha Koboldt, Daniel C. Miller, Christopher A. Kanchi, Krishna L. Eldred, James M. Larson, David E. Welch, John S. You, Ming Ozenberger, Bradley A. Govindan, Ramaswamy Walter, Matthew J. Ellis, Matthew J. Mardis, Elaine R. Graubert, Timothy A. Dipersio, John F. Ley, Timothy J. Wilson, Richard K. Goodfellow, Paul J. Raphael, Benjamin J. Chen, Feng Johnson, Kimberly J. Parvin, Jeffrey D. Ding, Li Nat Commun Article Large-scale cancer sequencing data enable discovery of rare germline cancer susceptibility variants. Here we systematically analyse 4,034 cases from The Cancer Genome Atlas cancer cases representing 12 cancer types. We find that the frequency of rare germline truncations in 114 cancer-susceptibility-associated genes varies widely, from 4% (acute myeloid leukaemia (AML)) to 19% (ovarian cancer), with a notably high frequency of 11% in stomach cancer. Burden testing identifies 13 cancer genes with significant enrichment of rare truncations, some associated with specific cancers (for example, RAD51C, PALB2 and MSH6 in AML, stomach and endometrial cancers, respectively). Significant, tumour-specific loss of heterozygosity occurs in nine genes (ATM, BAP1, BRCA1/2, BRIP1, FANCM, PALB2 and RAD51C/D). Moreover, our homology-directed repair assay of 68 BRCA1 rare missense variants supports the utility of allelic enrichment analysis for characterizing variants of unknown significance. The scale of this analysis and the somatic-germline integration enable the detection of rare variants that may affect individual susceptibility to tumour development, a critical step toward precision medicine. Nature Publishing Group 2015-12-22 /pmc/articles/PMC4703835/ /pubmed/26689913 http://dx.doi.org/10.1038/ncomms10086 Text en Copyright © 2015, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Lu, Charles Xie, Mingchao Wendl, Michael C. Wang, Jiayin McLellan, Michael D. Leiserson, Mark D. M. Huang, Kuan-lin Wyczalkowski, Matthew A. Jayasinghe, Reyka Banerjee, Tapahsama Ning, Jie Tripathi, Piyush Zhang, Qunyuan Niu, Beifang Ye, Kai Schmidt, Heather K. Fulton, Robert S. McMichael, Joshua F. Batra, Prag Kandoth, Cyriac Bharadwaj, Maheetha Koboldt, Daniel C. Miller, Christopher A. Kanchi, Krishna L. Eldred, James M. Larson, David E. Welch, John S. You, Ming Ozenberger, Bradley A. Govindan, Ramaswamy Walter, Matthew J. Ellis, Matthew J. Mardis, Elaine R. Graubert, Timothy A. Dipersio, John F. Ley, Timothy J. Wilson, Richard K. Goodfellow, Paul J. Raphael, Benjamin J. Chen, Feng Johnson, Kimberly J. Parvin, Jeffrey D. Ding, Li Patterns and functional implications of rare germline variants across 12 cancer types |
title | Patterns and functional implications of rare germline variants across 12 cancer types |
title_full | Patterns and functional implications of rare germline variants across 12 cancer types |
title_fullStr | Patterns and functional implications of rare germline variants across 12 cancer types |
title_full_unstemmed | Patterns and functional implications of rare germline variants across 12 cancer types |
title_short | Patterns and functional implications of rare germline variants across 12 cancer types |
title_sort | patterns and functional implications of rare germline variants across 12 cancer types |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4703835/ https://www.ncbi.nlm.nih.gov/pubmed/26689913 http://dx.doi.org/10.1038/ncomms10086 |
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