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Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk

Linkage and candidate gene studies have identified several breast cancer susceptibility genes, but the overall contribution of coding variation to breast cancer is unclear. To evaluate the role of rare coding variants more comprehensively, we performed a meta-analysis across three large whole-exome...

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Autores principales: Wilcox, Naomi, Dumont, Martine, González-Neira, Anna, Carvalho, Sara, Joly Beauparlant, Charles, Crotti, Marco, Luccarini, Craig, Soucy, Penny, Dubois, Stéphane, Nuñez-Torres, Rocio, Pita, Guillermo, Gardner, Eugene J., Dennis, Joe, Alonso, M. Rosario, Álvarez, Nuria, Baynes, Caroline, Collin-Deschesnes, Annie Claude, Desjardins, Sylvie, Becher, Heiko, Behrens, Sabine, Bolla, Manjeet K., Castelao, Jose E., Chang-Claude, Jenny, Cornelissen, Sten, Dörk, Thilo, Engel, Christoph, Gago-Dominguez, Manuela, Guénel, Pascal, Hadjisavvas, Andreas, Hahnen, Eric, Hartman, Mikael, Herráez, Belén, Jung, Audrey, Keeman, Renske, Kiechle, Marion, Li, Jingmei, Loizidou, Maria A., Lush, Michael, Michailidou, Kyriaki, Panayiotidis, Mihalis I., Sim, Xueling, Teo, Soo Hwang, Tyrer, Jonathan P., van der Kolk, Lizet E., Wahlström, Cecilia, Wang, Qin, Perry, John R. B., Benitez, Javier, Schmidt, Marjanka K., Schmutzler, Rita K., Pharoah, Paul D. P., Droit, Arnaud, Dunning, Alison M., Kvist, Anders, Devilee, Peter, Easton, Douglas F., Simard, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484782/
https://www.ncbi.nlm.nih.gov/pubmed/37592023
http://dx.doi.org/10.1038/s41588-023-01466-z
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author Wilcox, Naomi
Dumont, Martine
González-Neira, Anna
Carvalho, Sara
Joly Beauparlant, Charles
Crotti, Marco
Luccarini, Craig
Soucy, Penny
Dubois, Stéphane
Nuñez-Torres, Rocio
Pita, Guillermo
Gardner, Eugene J.
Dennis, Joe
Alonso, M. Rosario
Álvarez, Nuria
Baynes, Caroline
Collin-Deschesnes, Annie Claude
Desjardins, Sylvie
Becher, Heiko
Behrens, Sabine
Bolla, Manjeet K.
Castelao, Jose E.
Chang-Claude, Jenny
Cornelissen, Sten
Dörk, Thilo
Engel, Christoph
Gago-Dominguez, Manuela
Guénel, Pascal
Hadjisavvas, Andreas
Hahnen, Eric
Hartman, Mikael
Herráez, Belén
Jung, Audrey
Keeman, Renske
Kiechle, Marion
Li, Jingmei
Loizidou, Maria A.
Lush, Michael
Michailidou, Kyriaki
Panayiotidis, Mihalis I.
Sim, Xueling
Teo, Soo Hwang
Tyrer, Jonathan P.
van der Kolk, Lizet E.
Wahlström, Cecilia
Wang, Qin
Perry, John R. B.
Benitez, Javier
Schmidt, Marjanka K.
Schmutzler, Rita K.
Pharoah, Paul D. P.
Droit, Arnaud
Dunning, Alison M.
Kvist, Anders
Devilee, Peter
Easton, Douglas F.
Simard, Jacques
author_facet Wilcox, Naomi
Dumont, Martine
González-Neira, Anna
Carvalho, Sara
Joly Beauparlant, Charles
Crotti, Marco
Luccarini, Craig
Soucy, Penny
Dubois, Stéphane
Nuñez-Torres, Rocio
Pita, Guillermo
Gardner, Eugene J.
Dennis, Joe
Alonso, M. Rosario
Álvarez, Nuria
Baynes, Caroline
Collin-Deschesnes, Annie Claude
Desjardins, Sylvie
Becher, Heiko
Behrens, Sabine
Bolla, Manjeet K.
Castelao, Jose E.
Chang-Claude, Jenny
Cornelissen, Sten
Dörk, Thilo
Engel, Christoph
Gago-Dominguez, Manuela
Guénel, Pascal
Hadjisavvas, Andreas
Hahnen, Eric
Hartman, Mikael
Herráez, Belén
Jung, Audrey
Keeman, Renske
Kiechle, Marion
Li, Jingmei
Loizidou, Maria A.
Lush, Michael
Michailidou, Kyriaki
Panayiotidis, Mihalis I.
Sim, Xueling
Teo, Soo Hwang
Tyrer, Jonathan P.
van der Kolk, Lizet E.
Wahlström, Cecilia
Wang, Qin
Perry, John R. B.
Benitez, Javier
Schmidt, Marjanka K.
Schmutzler, Rita K.
Pharoah, Paul D. P.
Droit, Arnaud
Dunning, Alison M.
Kvist, Anders
Devilee, Peter
Easton, Douglas F.
Simard, Jacques
author_sort Wilcox, Naomi
collection PubMed
description Linkage and candidate gene studies have identified several breast cancer susceptibility genes, but the overall contribution of coding variation to breast cancer is unclear. To evaluate the role of rare coding variants more comprehensively, we performed a meta-analysis across three large whole-exome sequencing datasets, containing 26,368 female cases and 217,673 female controls. Burden tests were performed for protein-truncating and rare missense variants in 15,616 and 18,601 genes, respectively. Associations between protein-truncating variants and breast cancer were identified for the following six genes at exome-wide significance (P < 2.5 × 10(−6)): the five known susceptibility genes ATM, BRCA1, BRCA2, CHEK2 and PALB2, together with MAP3K1. Associations were also observed for LZTR1, ATRIP and BARD1 with P < 1 × 10(−4). Associations between predicted deleterious rare missense or protein-truncating variants and breast cancer were additionally identified for CDKN2A at exome-wide significance. The overall contribution of coding variants in genes beyond the previously known genes is estimated to be small.
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spelling pubmed-104847822023-09-09 Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk Wilcox, Naomi Dumont, Martine González-Neira, Anna Carvalho, Sara Joly Beauparlant, Charles Crotti, Marco Luccarini, Craig Soucy, Penny Dubois, Stéphane Nuñez-Torres, Rocio Pita, Guillermo Gardner, Eugene J. Dennis, Joe Alonso, M. Rosario Álvarez, Nuria Baynes, Caroline Collin-Deschesnes, Annie Claude Desjardins, Sylvie Becher, Heiko Behrens, Sabine Bolla, Manjeet K. Castelao, Jose E. Chang-Claude, Jenny Cornelissen, Sten Dörk, Thilo Engel, Christoph Gago-Dominguez, Manuela Guénel, Pascal Hadjisavvas, Andreas Hahnen, Eric Hartman, Mikael Herráez, Belén Jung, Audrey Keeman, Renske Kiechle, Marion Li, Jingmei Loizidou, Maria A. Lush, Michael Michailidou, Kyriaki Panayiotidis, Mihalis I. Sim, Xueling Teo, Soo Hwang Tyrer, Jonathan P. van der Kolk, Lizet E. Wahlström, Cecilia Wang, Qin Perry, John R. B. Benitez, Javier Schmidt, Marjanka K. Schmutzler, Rita K. Pharoah, Paul D. P. Droit, Arnaud Dunning, Alison M. Kvist, Anders Devilee, Peter Easton, Douglas F. Simard, Jacques Nat Genet Letter Linkage and candidate gene studies have identified several breast cancer susceptibility genes, but the overall contribution of coding variation to breast cancer is unclear. To evaluate the role of rare coding variants more comprehensively, we performed a meta-analysis across three large whole-exome sequencing datasets, containing 26,368 female cases and 217,673 female controls. Burden tests were performed for protein-truncating and rare missense variants in 15,616 and 18,601 genes, respectively. Associations between protein-truncating variants and breast cancer were identified for the following six genes at exome-wide significance (P < 2.5 × 10(−6)): the five known susceptibility genes ATM, BRCA1, BRCA2, CHEK2 and PALB2, together with MAP3K1. Associations were also observed for LZTR1, ATRIP and BARD1 with P < 1 × 10(−4). Associations between predicted deleterious rare missense or protein-truncating variants and breast cancer were additionally identified for CDKN2A at exome-wide significance. The overall contribution of coding variants in genes beyond the previously known genes is estimated to be small. Nature Publishing Group US 2023-08-17 2023 /pmc/articles/PMC10484782/ /pubmed/37592023 http://dx.doi.org/10.1038/s41588-023-01466-z Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Letter
Wilcox, Naomi
Dumont, Martine
González-Neira, Anna
Carvalho, Sara
Joly Beauparlant, Charles
Crotti, Marco
Luccarini, Craig
Soucy, Penny
Dubois, Stéphane
Nuñez-Torres, Rocio
Pita, Guillermo
Gardner, Eugene J.
Dennis, Joe
Alonso, M. Rosario
Álvarez, Nuria
Baynes, Caroline
Collin-Deschesnes, Annie Claude
Desjardins, Sylvie
Becher, Heiko
Behrens, Sabine
Bolla, Manjeet K.
Castelao, Jose E.
Chang-Claude, Jenny
Cornelissen, Sten
Dörk, Thilo
Engel, Christoph
Gago-Dominguez, Manuela
Guénel, Pascal
Hadjisavvas, Andreas
Hahnen, Eric
Hartman, Mikael
Herráez, Belén
Jung, Audrey
Keeman, Renske
Kiechle, Marion
Li, Jingmei
Loizidou, Maria A.
Lush, Michael
Michailidou, Kyriaki
Panayiotidis, Mihalis I.
Sim, Xueling
Teo, Soo Hwang
Tyrer, Jonathan P.
van der Kolk, Lizet E.
Wahlström, Cecilia
Wang, Qin
Perry, John R. B.
Benitez, Javier
Schmidt, Marjanka K.
Schmutzler, Rita K.
Pharoah, Paul D. P.
Droit, Arnaud
Dunning, Alison M.
Kvist, Anders
Devilee, Peter
Easton, Douglas F.
Simard, Jacques
Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk
title Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk
title_full Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk
title_fullStr Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk
title_full_unstemmed Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk
title_short Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk
title_sort exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484782/
https://www.ncbi.nlm.nih.gov/pubmed/37592023
http://dx.doi.org/10.1038/s41588-023-01466-z
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