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...
Saved in:
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/174181 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-174181 |
---|---|
record_format |
dspace |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Medicine, Health and Life Sciences Breast cancer Cancer risk |
spellingShingle |
Medicine, Health and Life Sciences Breast cancer Cancer risk Wilcox, Naomi Dumont, Martine González-Neira, Anna Carvalho, Sara Beauparlant, Charles Joly 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 Tan, Benita Kiat-Tee Tan,Veronique Kiak Mien Tan, Su-Ming Lim, Geok Hoon Tan, Ern Yu Ho, Peh Joo Khng, Alexis Jiaying Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk |
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, ATR 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. |
author2 |
Lee Kong Chian School of Medicine (LKCMedicine) |
author_facet |
Lee Kong Chian School of Medicine (LKCMedicine) Wilcox, Naomi Dumont, Martine González-Neira, Anna Carvalho, Sara Beauparlant, Charles Joly 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 Tan, Benita Kiat-Tee Tan,Veronique Kiak Mien Tan, Su-Ming Lim, Geok Hoon Tan, Ern Yu Ho, Peh Joo Khng, Alexis Jiaying |
format |
Article |
author |
Wilcox, Naomi Dumont, Martine González-Neira, Anna Carvalho, Sara Beauparlant, Charles Joly 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 Tan, Benita Kiat-Tee Tan,Veronique Kiak Mien Tan, Su-Ming Lim, Geok Hoon Tan, Ern Yu Ho, Peh Joo Khng, Alexis Jiaying |
author_sort |
Wilcox, Naomi |
title |
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_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_sort |
exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/174181 |
_version_ |
1794549455619358720 |
spelling |
sg-ntu-dr.10356-1741812024-03-24T15:38:49Z 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 Beauparlant, Charles Joly 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 Tan, Benita Kiat-Tee Tan,Veronique Kiak Mien Tan, Su-Ming Lim, Geok Hoon Tan, Ern Yu Ho, Peh Joo Khng, Alexis Jiaying Lee Kong Chian School of Medicine (LKCMedicine) Tan Tock Seng Hospital Institute of Molecular and Cell Biology Medicine, Health and Life Sciences Breast cancer 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 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, ATR 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. Published version Sequencing and analysis for this project were funded by the European Union’s Horizon 2020 Research and Innovation Program (BRIDGES: grants 634935 to A.G.-N., A.M.D., A.K., P.D. and D.F.E.), the PERSPECTIVE I&I project (funded by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research, the Ministère de l’Économie et de l’Innovation du Québec through Genome Québec, the Quebec Breast Cancer Foundation, Agilent Technologies Canada and Illumina Canada Ulc to J.S.), the Wellcome Trust (grant v203477/Z/16/Z to S.H.T. and D.F.E.) and the Medical Research Council (unit programs MC_UU_12015/2 and MC_UU_00006/2 to S.H.T.). BCAC is funded by the European Union Horizon 2020 Research and Innovation Program (grants 634935 for BRIDGES and 633784 for B-CAST to M.K.S., P.D.P.P. and D.F.E.), the PERSPECTIVE I&I project and via the Confluence project which is funded with intramural funds from the National Cancer Institute Intramural Research Program, National Institutes of Health (to D.F.E.). The funders had no role in the study design, data collection, data analysis, data interpretation or writing of the report. This research has been conducted using the UKB Resource under application number 28126. BCAC study-specific funding is given in the Supplementary Note. N.W. was supported by the International Alliance for Cancer Early Detection, an alliance between Cancer Research UK (C14478/A29329), Canary Center at Stanford University, the University of Cambridge, OHSU Knight Cancer Institute, University College London and the University of Manchester. 2024-03-19T01:01:49Z 2024-03-19T01:01:49Z 2023 Journal Article Wilcox, N., Dumont, M., González-Neira, A., Carvalho, S., Beauparlant, C. J., Crotti, M., Luccarini, C., Soucy, P., Dubois, S., Nuñez-Torres, R., Pita, G., Gardner, E. J., Dennis, J., Alonso, M. R., Álvarez, N., Baynes, C., Collin-Deschesnes, A. C., Desjardins, S., Becher, H., ...Khng, A. J. (2023). Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk. Nature Genetics, 55(9), 1435-1439. https://dx.doi.org/10.1038/s41588-023-01466-z 1061-4036 https://hdl.handle.net/10356/174181 10.1038/s41588-023-01466-z 37592023 2-s2.0-85168388705 9 55 1435 1439 en Nature Genetics © The Author(s) 2023, corrected publication 2023. 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/. application/pdf |