Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/174181
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dc.contributor.authorWilcox, Naomien_US
dc.contributor.authorDumont, Martineen_US
dc.contributor.authorGonzález-Neira, Annaen_US
dc.contributor.authorCarvalho, Saraen_US
dc.contributor.authorBeauparlant, Charles Jolyen_US
dc.contributor.authorCrotti, Marcoen_US
dc.contributor.authorLuccarini, Craigen_US
dc.contributor.authorSoucy, Pennyen_US
dc.contributor.authorDubois, Stéphaneen_US
dc.contributor.authorNuñez-Torres, Rocioen_US
dc.contributor.authorPita, Guillermoen_US
dc.contributor.authorGardner, Eugene J.en_US
dc.contributor.authorDennis, Joeen_US
dc.contributor.authorAlonso, M. Rosarioen_US
dc.contributor.authorÁlvarez, Nuriaen_US
dc.contributor.authorBaynes, Carolineen_US
dc.contributor.authorCollin-Deschesnes, Annie Claudeen_US
dc.contributor.authorDesjardins, Sylvieen_US
dc.contributor.authorBecher, Heikoen_US
dc.contributor.authorBehrens, Sabineen_US
dc.contributor.authorBolla, Manjeet K.en_US
dc.contributor.authorCastelao, Jose E.en_US
dc.contributor.authorChang-Claude, Jennyen_US
dc.contributor.authorCornelissen, Stenen_US
dc.contributor.authorDörk, Thiloen_US
dc.contributor.authorEngel, Christophen_US
dc.contributor.authorGago-Dominguez, Manuelaen_US
dc.contributor.authorGuénel, Pascalen_US
dc.contributor.authorHadjisavvas, Andreasen_US
dc.contributor.authorHahnen, Ericen_US
dc.contributor.authorHartman, Mikaelen_US
dc.contributor.authorHerráez, Belénen_US
dc.contributor.authorJung, Audreyen_US
dc.contributor.authorKeeman, Renskeen_US
dc.contributor.authorKiechle, Marionen_US
dc.contributor.authorLi, Jingmeien_US
dc.contributor.authorLoizidou, Maria A.en_US
dc.contributor.authorLush, Michaelen_US
dc.contributor.authorMichailidou, Kyriakien_US
dc.contributor.authorPanayiotidis, Mihalis I.en_US
dc.contributor.authorSim, Xuelingen_US
dc.contributor.authorTeo, Soo Hwangen_US
dc.contributor.authorTyrer, Jonathan P.en_US
dc.contributor.authorvan der Kolk, Lizet E.en_US
dc.contributor.authorWahlström, Ceciliaen_US
dc.contributor.authorWang, Qinen_US
dc.contributor.authorPerry, John R. B.en_US
dc.contributor.authorBenitez, Javieren_US
dc.contributor.authorSchmidt, Marjanka K.en_US
dc.contributor.authorSchmutzler, Rita K.en_US
dc.contributor.authorPharoah, Paul D. P.en_US
dc.contributor.authorDroit, Arnauden_US
dc.contributor.authorDunning, Alison M.en_US
dc.contributor.authorKvist, Andersen_US
dc.contributor.authorDevilee, Peteren_US
dc.contributor.authorEaston, Douglas F.en_US
dc.contributor.authorSimard, Jacquesen_US
dc.contributor.authorTan, Benita Kiat-Teeen_US
dc.contributor.authorTan,Veronique Kiak Mienen_US
dc.contributor.authorTan, Su-Mingen_US
dc.contributor.authorLim, Geok Hoonen_US
dc.contributor.authorTan, Ern Yuen_US
dc.contributor.authorHo, Peh Jooen_US
dc.contributor.authorKhng, Alexis Jiayingen_US
dc.date.accessioned2024-03-19T01:01:49Z-
dc.date.available2024-03-19T01:01:49Z-
dc.date.issued2023-
dc.identifier.citationWilcox, 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-zen_US
dc.identifier.issn1061-4036en_US
dc.identifier.urihttps://hdl.handle.net/10356/174181-
dc.description.abstractLinkage 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.en_US
dc.language.isoenen_US
dc.relation.ispartofNature Geneticsen_US
dc.rights© 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/.en_US
dc.subjectMedicine, Health and Life Sciencesen_US
dc.titleExome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risken_US
dc.typeJournal Articleen
dc.contributor.schoolLee Kong Chian School of Medicine (LKCMedicine)en_US
dc.contributor.organizationTan Tock Seng Hospitalen_US
dc.contributor.organizationInstitute of Molecular and Cell Biologyen_US
dc.identifier.doi10.1038/s41588-023-01466-z-
dc.description.versionPublished versionen_US
dc.identifier.pmid37592023-
dc.identifier.scopus2-s2.0-85168388705-
dc.identifier.issue9en_US
dc.identifier.volume55en_US
dc.identifier.spage1435en_US
dc.identifier.epage1439en_US
dc.subject.keywordsBreast canceren_US
dc.subject.keywordsCancer risken_US
dc.description.acknowledgementSequencing 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.en_US
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