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Breast cancer risks associated with missense variants in breast cancer susceptibility genes
BACKGROUND: Protein truncating variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2 are associated with increased breast cancer risk, but risks associated with missense variants in these genes are uncertain. METHODS: We analyzed data on 59,639 breast cancer cases and 53,165 controls from studies particip...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116026/ https://www.ncbi.nlm.nih.gov/pubmed/35585550 http://dx.doi.org/10.1186/s13073-022-01052-8 |
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author | Dorling, Leila Carvalho, Sara Allen, Jamie Parsons, Michael T. Fortuno, Cristina González-Neira, Anna Heijl, Stephan M. Adank, Muriel A. Ahearn, Thomas U. Andrulis, Irene L. Auvinen, Päivi Becher, Heiko Beckmann, Matthias W. Behrens, Sabine Bermisheva, Marina Bogdanova, Natalia V. Bojesen, Stig E. Bolla, Manjeet K. Bremer, Michael Briceno, Ignacio Camp, Nicola J. Campbell, Archie Castelao, Jose E. Chang-Claude, Jenny Chanock, Stephen J. Chenevix-Trench, Georgia Collée, J. Margriet Czene, Kamila Dennis, Joe Dörk, Thilo Eriksson, Mikael Evans, D. Gareth Fasching, Peter A. Figueroa, Jonine Flyger, Henrik Gabrielson, Marike Gago-Dominguez, Manuela García-Closas, Montserrat Giles, Graham G. Glendon, Gord Guénel, Pascal Gündert, Melanie Hadjisavvas, Andreas Hahnen, Eric Hall, Per Hamann, Ute Harkness, Elaine F. Hartman, Mikael Hogervorst, Frans B. L. Hollestelle, Antoinette Hoppe, Reiner Howell, Anthony Jakubowska, Anna Jung, Audrey Khusnutdinova, Elza Kim, Sung-Won Ko, Yon-Dschun Kristensen, Vessela N. Lakeman, Inge M. M. Li, Jingmei Lindblom, Annika Loizidou, Maria A. Lophatananon, Artitaya Lubiński, Jan Luccarini, Craig Madsen, Michael J. Mannermaa, Arto Manoochehri, Mehdi Margolin, Sara Mavroudis, Dimitrios Milne, Roger L. Mohd Taib, Nur Aishah Muir, Kenneth Nevanlinna, Heli Newman, William G. Oosterwijk, Jan C. Park, Sue K. Peterlongo, Paolo Radice, Paolo Saloustros, Emmanouil Sawyer, Elinor J. Schmutzler, Rita K. Shah, Mitul Sim, Xueling Southey, Melissa C. Surowy, Harald Suvanto, Maija Tomlinson, Ian Torres, Diana Truong, Thérèse van Asperen, Christi J. Waltes, Regina Wang, Qin Yang, Xiaohong R. Pharoah, Paul D. P. Schmidt, Marjanka K. Benitez, Javier Vroling, Bas Dunning, Alison M. Teo, Soo Hwang Kvist, Anders de la Hoya, Miguel Devilee, Peter Spurdle, Amanda B. Vreeswijk, Maaike P. G. Easton, Douglas F. |
author_facet | Dorling, Leila Carvalho, Sara Allen, Jamie Parsons, Michael T. Fortuno, Cristina González-Neira, Anna Heijl, Stephan M. Adank, Muriel A. Ahearn, Thomas U. Andrulis, Irene L. Auvinen, Päivi Becher, Heiko Beckmann, Matthias W. Behrens, Sabine Bermisheva, Marina Bogdanova, Natalia V. Bojesen, Stig E. Bolla, Manjeet K. Bremer, Michael Briceno, Ignacio Camp, Nicola J. Campbell, Archie Castelao, Jose E. Chang-Claude, Jenny Chanock, Stephen J. Chenevix-Trench, Georgia Collée, J. Margriet Czene, Kamila Dennis, Joe Dörk, Thilo Eriksson, Mikael Evans, D. Gareth Fasching, Peter A. Figueroa, Jonine Flyger, Henrik Gabrielson, Marike Gago-Dominguez, Manuela García-Closas, Montserrat Giles, Graham G. Glendon, Gord Guénel, Pascal Gündert, Melanie Hadjisavvas, Andreas Hahnen, Eric Hall, Per Hamann, Ute Harkness, Elaine F. Hartman, Mikael Hogervorst, Frans B. L. Hollestelle, Antoinette Hoppe, Reiner Howell, Anthony Jakubowska, Anna Jung, Audrey Khusnutdinova, Elza Kim, Sung-Won Ko, Yon-Dschun Kristensen, Vessela N. Lakeman, Inge M. M. Li, Jingmei Lindblom, Annika Loizidou, Maria A. Lophatananon, Artitaya Lubiński, Jan Luccarini, Craig Madsen, Michael J. Mannermaa, Arto Manoochehri, Mehdi Margolin, Sara Mavroudis, Dimitrios Milne, Roger L. Mohd Taib, Nur Aishah Muir, Kenneth Nevanlinna, Heli Newman, William G. Oosterwijk, Jan C. Park, Sue K. Peterlongo, Paolo Radice, Paolo Saloustros, Emmanouil Sawyer, Elinor J. Schmutzler, Rita K. Shah, Mitul Sim, Xueling Southey, Melissa C. Surowy, Harald Suvanto, Maija Tomlinson, Ian Torres, Diana Truong, Thérèse van Asperen, Christi J. Waltes, Regina Wang, Qin Yang, Xiaohong R. Pharoah, Paul D. P. Schmidt, Marjanka K. Benitez, Javier Vroling, Bas Dunning, Alison M. Teo, Soo Hwang Kvist, Anders de la Hoya, Miguel Devilee, Peter Spurdle, Amanda B. Vreeswijk, Maaike P. G. Easton, Douglas F. |
author_sort | Dorling, Leila |
collection | PubMed |
description | BACKGROUND: Protein truncating variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2 are associated with increased breast cancer risk, but risks associated with missense variants in these genes are uncertain. METHODS: We analyzed data on 59,639 breast cancer cases and 53,165 controls from studies participating in the Breast Cancer Association Consortium BRIDGES project. We sampled training (80%) and validation (20%) sets to analyze rare missense variants in ATM (1146 training variants), BRCA1 (644), BRCA2 (1425), CHEK2 (325), and PALB2 (472). We evaluated breast cancer risks according to five in silico prediction-of-deleteriousness algorithms, functional protein domain, and frequency, using logistic regression models and also mixture models in which a subset of variants was assumed to be risk-associated. RESULTS: The most predictive in silico algorithms were Helix (BRCA1, BRCA2 and CHEK2) and CADD (ATM). Increased risks appeared restricted to functional protein domains for ATM (FAT and PIK domains) and BRCA1 (RING and BRCT domains). For ATM, BRCA1, and BRCA2, data were compatible with small subsets (approximately 7%, 2%, and 0.6%, respectively) of rare missense variants giving similar risk to those of protein truncating variants in the same gene. For CHEK2, data were more consistent with a large fraction (approximately 60%) of rare missense variants giving a lower risk (OR 1.75, 95% CI (1.47–2.08)) than CHEK2 protein truncating variants. There was little evidence for an association with risk for missense variants in PALB2. The best fitting models were well calibrated in the validation set. CONCLUSIONS: These results will inform risk prediction models and the selection of candidate variants for functional assays and could contribute to the clinical reporting of gene panel testing for breast cancer susceptibility. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-022-01052-8. |
format | Online Article Text |
id | pubmed-9116026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91160262022-05-19 Breast cancer risks associated with missense variants in breast cancer susceptibility genes Dorling, Leila Carvalho, Sara Allen, Jamie Parsons, Michael T. Fortuno, Cristina González-Neira, Anna Heijl, Stephan M. Adank, Muriel A. Ahearn, Thomas U. Andrulis, Irene L. Auvinen, Päivi Becher, Heiko Beckmann, Matthias W. Behrens, Sabine Bermisheva, Marina Bogdanova, Natalia V. Bojesen, Stig E. Bolla, Manjeet K. Bremer, Michael Briceno, Ignacio Camp, Nicola J. Campbell, Archie Castelao, Jose E. Chang-Claude, Jenny Chanock, Stephen J. Chenevix-Trench, Georgia Collée, J. Margriet Czene, Kamila Dennis, Joe Dörk, Thilo Eriksson, Mikael Evans, D. Gareth Fasching, Peter A. Figueroa, Jonine Flyger, Henrik Gabrielson, Marike Gago-Dominguez, Manuela García-Closas, Montserrat Giles, Graham G. Glendon, Gord Guénel, Pascal Gündert, Melanie Hadjisavvas, Andreas Hahnen, Eric Hall, Per Hamann, Ute Harkness, Elaine F. Hartman, Mikael Hogervorst, Frans B. L. Hollestelle, Antoinette Hoppe, Reiner Howell, Anthony Jakubowska, Anna Jung, Audrey Khusnutdinova, Elza Kim, Sung-Won Ko, Yon-Dschun Kristensen, Vessela N. Lakeman, Inge M. M. Li, Jingmei Lindblom, Annika Loizidou, Maria A. Lophatananon, Artitaya Lubiński, Jan Luccarini, Craig Madsen, Michael J. Mannermaa, Arto Manoochehri, Mehdi Margolin, Sara Mavroudis, Dimitrios Milne, Roger L. Mohd Taib, Nur Aishah Muir, Kenneth Nevanlinna, Heli Newman, William G. Oosterwijk, Jan C. Park, Sue K. Peterlongo, Paolo Radice, Paolo Saloustros, Emmanouil Sawyer, Elinor J. Schmutzler, Rita K. Shah, Mitul Sim, Xueling Southey, Melissa C. Surowy, Harald Suvanto, Maija Tomlinson, Ian Torres, Diana Truong, Thérèse van Asperen, Christi J. Waltes, Regina Wang, Qin Yang, Xiaohong R. Pharoah, Paul D. P. Schmidt, Marjanka K. Benitez, Javier Vroling, Bas Dunning, Alison M. Teo, Soo Hwang Kvist, Anders de la Hoya, Miguel Devilee, Peter Spurdle, Amanda B. Vreeswijk, Maaike P. G. Easton, Douglas F. Genome Med Research BACKGROUND: Protein truncating variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2 are associated with increased breast cancer risk, but risks associated with missense variants in these genes are uncertain. METHODS: We analyzed data on 59,639 breast cancer cases and 53,165 controls from studies participating in the Breast Cancer Association Consortium BRIDGES project. We sampled training (80%) and validation (20%) sets to analyze rare missense variants in ATM (1146 training variants), BRCA1 (644), BRCA2 (1425), CHEK2 (325), and PALB2 (472). We evaluated breast cancer risks according to five in silico prediction-of-deleteriousness algorithms, functional protein domain, and frequency, using logistic regression models and also mixture models in which a subset of variants was assumed to be risk-associated. RESULTS: The most predictive in silico algorithms were Helix (BRCA1, BRCA2 and CHEK2) and CADD (ATM). Increased risks appeared restricted to functional protein domains for ATM (FAT and PIK domains) and BRCA1 (RING and BRCT domains). For ATM, BRCA1, and BRCA2, data were compatible with small subsets (approximately 7%, 2%, and 0.6%, respectively) of rare missense variants giving similar risk to those of protein truncating variants in the same gene. For CHEK2, data were more consistent with a large fraction (approximately 60%) of rare missense variants giving a lower risk (OR 1.75, 95% CI (1.47–2.08)) than CHEK2 protein truncating variants. There was little evidence for an association with risk for missense variants in PALB2. The best fitting models were well calibrated in the validation set. CONCLUSIONS: These results will inform risk prediction models and the selection of candidate variants for functional assays and could contribute to the clinical reporting of gene panel testing for breast cancer susceptibility. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-022-01052-8. BioMed Central 2022-05-18 /pmc/articles/PMC9116026/ /pubmed/35585550 http://dx.doi.org/10.1186/s13073-022-01052-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Dorling, Leila Carvalho, Sara Allen, Jamie Parsons, Michael T. Fortuno, Cristina González-Neira, Anna Heijl, Stephan M. Adank, Muriel A. Ahearn, Thomas U. Andrulis, Irene L. Auvinen, Päivi Becher, Heiko Beckmann, Matthias W. Behrens, Sabine Bermisheva, Marina Bogdanova, Natalia V. Bojesen, Stig E. Bolla, Manjeet K. Bremer, Michael Briceno, Ignacio Camp, Nicola J. Campbell, Archie Castelao, Jose E. Chang-Claude, Jenny Chanock, Stephen J. Chenevix-Trench, Georgia Collée, J. Margriet Czene, Kamila Dennis, Joe Dörk, Thilo Eriksson, Mikael Evans, D. Gareth Fasching, Peter A. Figueroa, Jonine Flyger, Henrik Gabrielson, Marike Gago-Dominguez, Manuela García-Closas, Montserrat Giles, Graham G. Glendon, Gord Guénel, Pascal Gündert, Melanie Hadjisavvas, Andreas Hahnen, Eric Hall, Per Hamann, Ute Harkness, Elaine F. Hartman, Mikael Hogervorst, Frans B. L. Hollestelle, Antoinette Hoppe, Reiner Howell, Anthony Jakubowska, Anna Jung, Audrey Khusnutdinova, Elza Kim, Sung-Won Ko, Yon-Dschun Kristensen, Vessela N. Lakeman, Inge M. M. Li, Jingmei Lindblom, Annika Loizidou, Maria A. Lophatananon, Artitaya Lubiński, Jan Luccarini, Craig Madsen, Michael J. Mannermaa, Arto Manoochehri, Mehdi Margolin, Sara Mavroudis, Dimitrios Milne, Roger L. Mohd Taib, Nur Aishah Muir, Kenneth Nevanlinna, Heli Newman, William G. Oosterwijk, Jan C. Park, Sue K. Peterlongo, Paolo Radice, Paolo Saloustros, Emmanouil Sawyer, Elinor J. Schmutzler, Rita K. Shah, Mitul Sim, Xueling Southey, Melissa C. Surowy, Harald Suvanto, Maija Tomlinson, Ian Torres, Diana Truong, Thérèse van Asperen, Christi J. Waltes, Regina Wang, Qin Yang, Xiaohong R. Pharoah, Paul D. P. Schmidt, Marjanka K. Benitez, Javier Vroling, Bas Dunning, Alison M. Teo, Soo Hwang Kvist, Anders de la Hoya, Miguel Devilee, Peter Spurdle, Amanda B. Vreeswijk, Maaike P. G. Easton, Douglas F. Breast cancer risks associated with missense variants in breast cancer susceptibility genes |
title | Breast cancer risks associated with missense variants in breast cancer susceptibility genes |
title_full | Breast cancer risks associated with missense variants in breast cancer susceptibility genes |
title_fullStr | Breast cancer risks associated with missense variants in breast cancer susceptibility genes |
title_full_unstemmed | Breast cancer risks associated with missense variants in breast cancer susceptibility genes |
title_short | Breast cancer risks associated with missense variants in breast cancer susceptibility genes |
title_sort | breast cancer risks associated with missense variants in breast cancer susceptibility genes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116026/ https://www.ncbi.nlm.nih.gov/pubmed/35585550 http://dx.doi.org/10.1186/s13073-022-01052-8 |
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