Aimee L Davidson, Kyriaki Michailidou, Michael T Parsons, Cristina Fortuno, Manjeet K Bolla, Qin Wang, Joe Dennis, Marc Naven, Mustapha Abubakar, Thomas U Ahearn, M Rosario Alonso, Irene L Andrulis, Antonis C Antoniou, Päivi Auvinen, Sabine Behrens, Marina A Bermisheva, Natalia V Bogdanova, Stig E Bojesen, Thomas Brüning, Helen J Byers, Nicola J Camp, Archie Campbell, Jose E Castelao, Melissa H Cessna, Jenny Chang-Claude, Stephen J Chanock, Georgia Chenevix-Trench, J Margriet Collée, Kamila Czene, Thilo Dörk, Mikael Eriksson, D Gareth Evans, Peter A Fasching, Jonine D Figueroa, Henrik Flyger, Manuela Gago-Dominguez, Montserrat García-Closas, Gord Glendon, Anna González-Neira, Felix Grassmann, Jacek Gronwald, Pascal Guénel, Andreas Hadjisavvas, Lothar Haeberle, Per Hall, Ute Hamann, Mikael Hartman, Peh Joo Ho, Maartje J Hooning, Reiner Hoppe, Anthony Howell, Anna Jakubowska, Elza K Khusnutdinova, Vessela N Kristensen, Jingmei Li, Joanna Lim, Annika Lindblom, Jenny Liu, Artitaya Lophatananon, Arto Mannermaa, Dimitrios A Mavroudis, Arjen R Mensenkamp, Roger L Milne, Kenneth R Muir, William G Newman, Nadia Obi, Mihalis I Panayiotidis, Sue K Park, Tjoung-Won Park-Simon, Paolo Peterlongo, Paolo Radice, Muhammad U Rashid, Valerie Rhenius, Emmanouil Saloustros, Elinor J Sawyer, Marjanka K Schmidt, Petra Seibold, Mitul Shah, Melissa C Southey, Soo Hwang Teo, Ian Tomlinson, Diana Torres, Thérèse Truong, Irma van de Beek, Annemieke H van der Hout, Camilla C Wendt, Alison M Dunning, Paul D P Pharoah, Peter Devilee, Douglas F Easton, Paul A James, Amanda B Spurdle
{"title":"乳腺癌易感基因种系致病变异的共同观察:BRIDGES 测序数据集的分析结果。","authors":"Aimee L Davidson, Kyriaki Michailidou, Michael T Parsons, Cristina Fortuno, Manjeet K Bolla, Qin Wang, Joe Dennis, Marc Naven, Mustapha Abubakar, Thomas U Ahearn, M Rosario Alonso, Irene L Andrulis, Antonis C Antoniou, Päivi Auvinen, Sabine Behrens, Marina A Bermisheva, Natalia V Bogdanova, Stig E Bojesen, Thomas Brüning, Helen J Byers, Nicola J Camp, Archie Campbell, Jose E Castelao, Melissa H Cessna, Jenny Chang-Claude, Stephen J Chanock, Georgia Chenevix-Trench, J Margriet Collée, Kamila Czene, Thilo Dörk, Mikael Eriksson, D Gareth Evans, Peter A Fasching, Jonine D Figueroa, Henrik Flyger, Manuela Gago-Dominguez, Montserrat García-Closas, Gord Glendon, Anna González-Neira, Felix Grassmann, Jacek Gronwald, Pascal Guénel, Andreas Hadjisavvas, Lothar Haeberle, Per Hall, Ute Hamann, Mikael Hartman, Peh Joo Ho, Maartje J Hooning, Reiner Hoppe, Anthony Howell, Anna Jakubowska, Elza K Khusnutdinova, Vessela N Kristensen, Jingmei Li, Joanna Lim, Annika Lindblom, Jenny Liu, Artitaya Lophatananon, Arto Mannermaa, Dimitrios A Mavroudis, Arjen R Mensenkamp, Roger L Milne, Kenneth R Muir, William G Newman, Nadia Obi, Mihalis I Panayiotidis, Sue K Park, Tjoung-Won Park-Simon, Paolo Peterlongo, Paolo Radice, Muhammad U Rashid, Valerie Rhenius, Emmanouil Saloustros, Elinor J Sawyer, Marjanka K Schmidt, Petra Seibold, Mitul Shah, Melissa C Southey, Soo Hwang Teo, Ian Tomlinson, Diana Torres, Thérèse Truong, Irma van de Beek, Annemieke H van der Hout, Camilla C Wendt, Alison M Dunning, Paul D P Pharoah, Peter Devilee, Douglas F Easton, Paul A James, Amanda B Spurdle","doi":"10.1016/j.ajhg.2024.07.004","DOIUrl":null,"url":null,"abstract":"<p><p>Co-observation of a gene variant with a pathogenic variant in another gene that explains the disease presentation has been designated as evidence against pathogenicity for commonly used variant classification guidelines. Multiple variant curation expert panels have specified, from consensus opinion, that this evidence type is not applicable for the classification of breast cancer predisposition gene variants. Statistical analysis of sequence data for 55,815 individuals diagnosed with breast cancer from the BRIDGES sequencing project was undertaken to formally assess the utility of co-observation data for germline variant classification. Our analysis included expected loss-of-function variants in 11 breast cancer predisposition genes and pathogenic missense variants in BRCA1, BRCA2, and TP53. We assessed whether co-observation of pathogenic variants in two different genes occurred more or less often than expected under the assumption of independence. Co-observation of pathogenic variants in each of BRCA1, BRCA2, and PALB2 with the remaining genes was less frequent than expected. This evidence for depletion remained after adjustment for age at diagnosis, study design (familial versus population-based), and country. Co-observation of a variant of uncertain significance in BRCA1, BRCA2, or PALB2 with a pathogenic variant in another breast cancer gene equated to supporting evidence against pathogenicity following criterion strength assignment based on the likelihood ratio and showed utility in reclassification of missense BRCA1 and BRCA2 variants identified in BRIDGES. Our approach has applicability for assessing the value of co-observation as a predictor of variant pathogenicity in other clinical contexts, including for gene-specific guidelines developed by ClinGen Variant Curation Expert Panels.</p>","PeriodicalId":7659,"journal":{"name":"American journal of human genetics","volume":" ","pages":"2059-2069"},"PeriodicalIF":8.1000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11393698/pdf/","citationCount":"0","resultStr":"{\"title\":\"Co-observation of germline pathogenic variants in breast cancer predisposition genes: Results from analysis of the BRIDGES sequencing dataset.\",\"authors\":\"Aimee L Davidson, Kyriaki Michailidou, Michael T Parsons, Cristina Fortuno, Manjeet K Bolla, Qin Wang, Joe Dennis, Marc Naven, Mustapha Abubakar, Thomas U Ahearn, M Rosario Alonso, Irene L Andrulis, Antonis C Antoniou, Päivi Auvinen, Sabine Behrens, Marina A Bermisheva, Natalia V Bogdanova, Stig E Bojesen, Thomas Brüning, Helen J Byers, Nicola J Camp, Archie Campbell, Jose E Castelao, Melissa H Cessna, Jenny Chang-Claude, Stephen J Chanock, Georgia Chenevix-Trench, J Margriet Collée, Kamila Czene, Thilo Dörk, Mikael Eriksson, D Gareth Evans, Peter A Fasching, Jonine D Figueroa, Henrik Flyger, Manuela Gago-Dominguez, Montserrat García-Closas, Gord Glendon, Anna González-Neira, Felix Grassmann, Jacek Gronwald, Pascal Guénel, Andreas Hadjisavvas, Lothar Haeberle, Per Hall, Ute Hamann, Mikael Hartman, Peh Joo Ho, Maartje J Hooning, Reiner Hoppe, Anthony Howell, Anna Jakubowska, Elza K Khusnutdinova, Vessela N Kristensen, Jingmei Li, Joanna Lim, Annika Lindblom, Jenny Liu, Artitaya Lophatananon, Arto Mannermaa, Dimitrios A Mavroudis, Arjen R Mensenkamp, Roger L Milne, Kenneth R Muir, William G Newman, Nadia Obi, Mihalis I Panayiotidis, Sue K Park, Tjoung-Won Park-Simon, Paolo Peterlongo, Paolo Radice, Muhammad U Rashid, Valerie Rhenius, Emmanouil Saloustros, Elinor J Sawyer, Marjanka K Schmidt, Petra Seibold, Mitul Shah, Melissa C Southey, Soo Hwang Teo, Ian Tomlinson, Diana Torres, Thérèse Truong, Irma van de Beek, Annemieke H van der Hout, Camilla C Wendt, Alison M Dunning, Paul D P Pharoah, Peter Devilee, Douglas F Easton, Paul A James, Amanda B Spurdle\",\"doi\":\"10.1016/j.ajhg.2024.07.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Co-observation of a gene variant with a pathogenic variant in another gene that explains the disease presentation has been designated as evidence against pathogenicity for commonly used variant classification guidelines. Multiple variant curation expert panels have specified, from consensus opinion, that this evidence type is not applicable for the classification of breast cancer predisposition gene variants. Statistical analysis of sequence data for 55,815 individuals diagnosed with breast cancer from the BRIDGES sequencing project was undertaken to formally assess the utility of co-observation data for germline variant classification. Our analysis included expected loss-of-function variants in 11 breast cancer predisposition genes and pathogenic missense variants in BRCA1, BRCA2, and TP53. We assessed whether co-observation of pathogenic variants in two different genes occurred more or less often than expected under the assumption of independence. Co-observation of pathogenic variants in each of BRCA1, BRCA2, and PALB2 with the remaining genes was less frequent than expected. This evidence for depletion remained after adjustment for age at diagnosis, study design (familial versus population-based), and country. Co-observation of a variant of uncertain significance in BRCA1, BRCA2, or PALB2 with a pathogenic variant in another breast cancer gene equated to supporting evidence against pathogenicity following criterion strength assignment based on the likelihood ratio and showed utility in reclassification of missense BRCA1 and BRCA2 variants identified in BRIDGES. Our approach has applicability for assessing the value of co-observation as a predictor of variant pathogenicity in other clinical contexts, including for gene-specific guidelines developed by ClinGen Variant Curation Expert Panels.</p>\",\"PeriodicalId\":7659,\"journal\":{\"name\":\"American journal of human genetics\",\"volume\":\" \",\"pages\":\"2059-2069\"},\"PeriodicalIF\":8.1000,\"publicationDate\":\"2024-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11393698/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of human genetics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.ajhg.2024.07.004\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/8/2 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of human genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.ajhg.2024.07.004","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/2 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Co-observation of germline pathogenic variants in breast cancer predisposition genes: Results from analysis of the BRIDGES sequencing dataset.
Co-observation of a gene variant with a pathogenic variant in another gene that explains the disease presentation has been designated as evidence against pathogenicity for commonly used variant classification guidelines. Multiple variant curation expert panels have specified, from consensus opinion, that this evidence type is not applicable for the classification of breast cancer predisposition gene variants. Statistical analysis of sequence data for 55,815 individuals diagnosed with breast cancer from the BRIDGES sequencing project was undertaken to formally assess the utility of co-observation data for germline variant classification. Our analysis included expected loss-of-function variants in 11 breast cancer predisposition genes and pathogenic missense variants in BRCA1, BRCA2, and TP53. We assessed whether co-observation of pathogenic variants in two different genes occurred more or less often than expected under the assumption of independence. Co-observation of pathogenic variants in each of BRCA1, BRCA2, and PALB2 with the remaining genes was less frequent than expected. This evidence for depletion remained after adjustment for age at diagnosis, study design (familial versus population-based), and country. Co-observation of a variant of uncertain significance in BRCA1, BRCA2, or PALB2 with a pathogenic variant in another breast cancer gene equated to supporting evidence against pathogenicity following criterion strength assignment based on the likelihood ratio and showed utility in reclassification of missense BRCA1 and BRCA2 variants identified in BRIDGES. Our approach has applicability for assessing the value of co-observation as a predictor of variant pathogenicity in other clinical contexts, including for gene-specific guidelines developed by ClinGen Variant Curation Expert Panels.
期刊介绍:
The American Journal of Human Genetics (AJHG) is a monthly journal published by Cell Press, chosen by The American Society of Human Genetics (ASHG) as its premier publication starting from January 2008. AJHG represents Cell Press's first society-owned journal, and both ASHG and Cell Press anticipate significant synergies between AJHG content and that of other Cell Press titles.