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5. Ovarian cancer pathology characteristics as predictors of variant pathogenicity in BRCA1 and BRCA2

Author

O’Mahony, Denise G, Ramus, Susan J, Southey, Melissa C, Meagher, Nicola S, Hadjisavvas, Andreas, John, Esther M, Hamann, Ute, Imyanitov, Evgeny N, Andrulis, Irene L, Sharma, Priyanka, Daly, Mary B, Hake, Christopher R, Weitzel, Jeffrey N, Jakubowska, Anna, Godwin, Andrew K, Arason, Adalgeir, Bane, Anita, Simard, Jacques, Soucy, Penny, Caligo, Maria A, Mai, Phuong L, Claes, Kathleen BM, Teixeira, Manuel R, Chung, Wendy K, Lazaro, Conxi, Hulick, Peter J, Toland, Amanda E, Pedersen, Inge Sokilde, Neuhausen, Susan L, Vega, Ana, de la Hoya, Miguel, Nevanlinna, Heli, Dhawan, Mallika, Zampiga, Valentina, Danesi, Rita, Varesco, Liliana, Gismondi, Viviana, Vellone, Valerio Gaetano, James, Paul A, Janavicius, Ramunas, Nikitina-Zake, Liene, Nielsen, Finn Cilius, van Overeem Hansen, Thomas, Pejovic, Tanja, Borg, Ake, Rantala, Johanna, Offit, Kenneth, Montagna, Marco, Nathanson, Katherine L, Domchek, Susan M, Osorio, Ana, García, María J, Karlan, Beth Y, De Fazio, Anna, Bowtell, David, McGuffog, Lesley, Leslie, Goska, Parsons, Michael T, Dörk, Thilo, Speith, Lisa-Marie, dos Santos, Elizabeth Santana, da Costa, Alexandre André BA, Radice, Paolo, Peterlongo, Paolo, Papi, Laura, Engel, Christoph, Hahnen, Eric, Schmutzler, Rita K, Wappenschmidt, Barbara, Easton, Douglas F, Tischkowitz, Marc, Singer, Christian F, Tan, Yen Yen, Whittemore, Alice S, Sieh, Weiva, Brenton, James D, Yannoukakos, Drakoulis, Fostira, Florentia, Konstantopoulou, Irene, Soukupova, Jana, Vocka, Michal, Chenevix-Trench, Georgia, Pharoah, Paul DP, Antoniou, Antonis C, Goldgar, David E, Spurdle, Amanda B, and Michailidou, Kyriaki

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Rare Diseases, Cancer, Breast Cancer, Genetics, Ovarian Cancer, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Humans, Female, Virulence, BRCA1 Protein, BRCA2 Protein, Ovarian Neoplasms, Genetic Predisposition to Disease, Breast Neoplasms, HEBON Investigators, GEMO Study Collaborators, AOCS Group, CZECANCA Consortium, Consortium of Investigators of Modifiers of BRCA1/2, Evidence-based Network for the Interpretation of Germline Mutant Alleles Consortium, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundThe distribution of ovarian tumour characteristics differs between germline BRCA1 and BRCA2 pathogenic variant carriers and non-carriers. In this study, we assessed the utility of ovarian tumour characteristics as predictors of BRCA1 and BRCA2 variant pathogenicity, for application using the American College of Medical Genetics and the Association for Molecular Pathology (ACMG/AMP) variant classification system.MethodsData for 10,373 ovarian cancer cases, including carriers and non-carriers of BRCA1 or BRCA2 pathogenic variants, were collected from unpublished international cohorts and consortia and published studies. Likelihood ratios (LR) were calculated for the association of ovarian cancer histology and other characteristics, with BRCA1 and BRCA2 variant pathogenicity. Estimates were aligned to ACMG/AMP code strengths (supporting, moderate, strong).ResultsNo histological subtype provided informative ACMG/AMP evidence in favour of BRCA1 and BRCA2 variant pathogenicity. Evidence against variant pathogenicity was estimated for the mucinous and clear cell histologies (supporting) and borderline cases (moderate). Refined associations are provided according to tumour grade, invasion and age at diagnosis.ConclusionsWe provide detailed estimates for predicting BRCA1 and BRCA2 variant pathogenicity based on ovarian tumour characteristics. This evidence can be combined with other variant information under the ACMG/AMP classification system, to improve classification and carrier clinical management.

Published
2023

6. Ethnicity-specific BRCA1, BRCA2, PALB2, and ATM pathogenic alleles in breast and ovarian cancer patients from the North Caucasus

Author

Sokolenko, Anna P., Bakaeva, Elvina Kh., Venina, Aigul R., Kuligina, Ekaterina Sh., Romanko, Alexandr A., Aleksakhina, Svetlana N., Belysheva, Yana V., Belogubova, Evgeniya V., Stepanov, Ilya A., Zaitseva, Olga A., Yatsuk, Olga S., Togo, Alexandr V., Khamgokov, Zaur M., Kadyrova, Azinat O., Pirmagomedov, Albert Sh., Bolieva, Marina B., Epkhiev, Alexandr A., Tsutsaev, Aslan K., Chakhieva, Madina D., Khabrieva, Khalimat M., Khabriev, Idris M., Murachuev, Mirza A., Buttaeva, Bella N., Baboshkina, Liliya S., Bayramkulova, Fatima I., Katchiev, Islam R., Alieva, Lina Kh., Raskin, Grigory A., Orlov, Sergey V., Khachmamuk, Zarema K., Levonyan, Karine R., Gichko, Dariya M., Kirtbaya, Dmitriy V., Degtyariov, Alexey M., Sultanova, Luisa V., Musayeva, Hedi S., Belyaev, Alexey M., and Imyanitov, Evgeny N.

Published
2024
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7. Copy number variants as modifiers of breast cancer risk for BRCA1/BRCA2 pathogenic variant carriers

Author

Hakkaart, Christopher, Pearson, John F, Marquart, Louise, Dennis, Joe, Wiggins, George AR, Barnes, Daniel R, Robinson, Bridget A, Mace, Peter D, Aittomäki, Kristiina, Andrulis, Irene L, Arun, Banu K, Azzollini, Jacopo, Balmaña, Judith, Barkardottir, Rosa B, Belhadj, Sami, Berger, Lieke, Blok, Marinus J, Boonen, Susanne E, Borde, Julika, Bradbury, Angela R, Brunet, Joan, Buys, Saundra S, Caligo, Maria A, Campbell, Ian, Chung, Wendy K, Claes, Kathleen BM, Collonge-Rame, Marie-Agnès, Cook, Jackie, Cosgrove, Casey, Couch, Fergus J, Daly, Mary B, Dandiker, Sita, Davidson, Rosemarie, de la Hoya, Miguel, de Putter, Robin, Delnatte, Capucine, Dhawan, Mallika, Diez, Orland, Ding, Yuan Chun, Domchek, Susan M, Donaldson, Alan, Eason, Jacqueline, Easton, Douglas F, Ehrencrona, Hans, Engel, Christoph, Evans, D Gareth, Faust, Ulrike, Feliubadaló, Lidia, Fostira, Florentia, Friedman, Eitan, Frone, Megan, Frost, Debra, Garber, Judy, Gayther, Simon A, Gehrig, Andrea, Gesta, Paul, Godwin, Andrew K, Goldgar, David E, Greene, Mark H, Hahnen, Eric, Hake, Christopher R, Hamann, Ute, Hansen, Thomas VO, Hauke, Jan, Hentschel, Julia, Herold, Natalie, Honisch, Ellen, Hulick, Peter J, Imyanitov, Evgeny N, Isaacs, Claudine, Izatt, Louise, Izquierdo, Angel, Jakubowska, Anna, James, Paul A, Janavicius, Ramunas, John, Esther M, Joseph, Vijai, Karlan, Beth Y, Kemp, Zoe, Kirk, Judy, Konstantopoulou, Irene, Koudijs, Marco, Kwong, Ava, Laitman, Yael, Lalloo, Fiona, Lasset, Christine, Lautrup, Charlotte, Lazaro, Conxi, Legrand, Clémentine, Leslie, Goska, Lesueur, Fabienne, Mai, Phuong L, Manoukian, Siranoush, Mari, Véronique, Martens, John WM, McGuffog, Lesley, Mebirouk, Noura, Meindl, Alfons, Miller, Austin, and Montagna, Marco

Subjects
Human Genome, Prevention, Breast Cancer, Cancer, Genetics, Aetiology, 2.1 Biological and endogenous factors, BRCA1 Protein, BRCA2 Protein, Breast Neoplasms, DNA Copy Number Variations, Female, Genetic Predisposition to Disease, Heterozygote, Humans, RNA, Messenger, GEMO Study Collaborators, EMBRACE Collaborators, SWE-BRCA Investigators, kConFab Investigators, HEBON Investigators
Abstract

The contribution of germline copy number variants (CNVs) to risk of developing cancer in individuals with pathogenic BRCA1 or BRCA2 variants remains relatively unknown. We conducted the largest genome-wide analysis of CNVs in 15,342 BRCA1 and 10,740 BRCA2 pathogenic variant carriers. We used these results to prioritise a candidate breast cancer risk-modifier gene for laboratory analysis and biological validation. Notably, the HR for deletions in BRCA1 suggested an elevated breast cancer risk estimate (hazard ratio (HR) = 1.21), 95% confidence interval (95% CI = 1.09-1.35) compared with non-CNV pathogenic variants. In contrast, deletions overlapping SULT1A1 suggested a decreased breast cancer risk (HR = 0.73, 95% CI 0.59-0.91) in BRCA1 pathogenic variant carriers. Functional analyses of SULT1A1 showed that reduced mRNA expression in pathogenic BRCA1 variant cells was associated with reduced cellular proliferation and reduced DNA damage after treatment with DNA damaging agents. These data provide evidence that deleterious variants in BRCA1 plus SULT1A1 deletions contribute to variable breast cancer risk in BRCA1 carriers.

Published
2022

8. Correction: Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author

Dareng, Eileen O, Tyrer, Jonathan P, Barnes, Daniel R, Jones, Michelle R, Yang, Xin, Aben, Katja KH, Adank, Muriel A, Agata, Simona, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Aravantinos, Gerasimos, Arun, Banu K, Augustinsson, Annelie, Balmaña, Judith, Bandera, Elisa V, Barkardottir, Rosa B, Barrowdale, Daniel, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q, Bjorge, Line, Black, Amanda, Bogdanova, Natalia V, Bonanni, Bernardo, Borg, Ake, Brenton, James D, Budzilowska, Agnieszka, Butzow, Ralf, Buys, Saundra S, Cai, Hui, Caligo, Maria A, Campbell, Ian, Cannioto, Rikki, Cassingham, Hayley, Chang-Claude, Jenny, Chanock, Stephen J, Chen, Kexin, Chiew, Yoke-Eng, Chung, Wendy K, Claes, Kathleen BM, Colonna, Sarah, Cook, Linda S, Couch, Fergus J, Daly, Mary B, Dao, Fanny, Davies, Eleanor, de la Hoya, Miguel, de Putter, Robin, Dennis, Joe, DePersia, Allison, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer A, Domchek, Susan M, Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana M, Eliassen, Heather A, Engel, Christoph, Evans, Gareth D, Fasching, Peter A, Flanagan, James M, Fortner, Renée T, Machackova, Eva, Friedman, Eitan, Ganz, Patricia A, Garber, Judy, Gensini, Francesca, Giles, Graham G, Glendon, Gord, Godwin, Andrew K, Goodman, Marc T, Greene, Mark H, Gronwald, Jacek, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Hansen, Thomas VO, Harris, Holly R, Hartman, Mikael, Heitz, Florian, Hildebrandt, Michelle AT, Høgdall, Estrid, Høgdall, Claus K, Hopper, John L, Huang, Ruea-Yea, Huff, Chad, Hulick, Peter J, Huntsman, David G, Imyanitov, Evgeny N, Isaacs, Claudine, Jakubowska, Anna, James, Paul A, and Janavicius, Ramunas

Subjects
GEMO Study Collaborators, GC-HBOC Study Collaborators, EMBRACE Collaborators, OPAL Study Group, AOCS Group, KConFab Investigators, HEBON Investigators, OCAC Consortium, CIMBA Consortium, Genetics, Clinical Sciences, Genetics & Heredity
Published
2022

9. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author

Dareng, Eileen O, Tyrer, Jonathan P, Barnes, Daniel R, Jones, Michelle R, Yang, Xin, Aben, Katja KH, Adank, Muriel A, Agata, Simona, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Aravantinos, Gerasimos, Arun, Banu K, Augustinsson, Annelie, Balmaña, Judith, Bandera, Elisa V, Barkardottir, Rosa B, Barrowdale, Daniel, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q, Bjorge, Line, Black, Amanda, Bogdanova, Natalia V, Bonanni, Bernardo, Borg, Ake, Brenton, James D, Budzilowska, Agnieszka, Butzow, Ralf, Buys, Saundra S, Cai, Hui, Caligo, Maria A, Campbell, Ian, Cannioto, Rikki, Cassingham, Hayley, Chang-Claude, Jenny, Chanock, Stephen J, Chen, Kexin, Chiew, Yoke-Eng, Chung, Wendy K, Claes, Kathleen BM, Colonna, Sarah, Cook, Linda S, Couch, Fergus J, Daly, Mary B, Dao, Fanny, Davies, Eleanor, de la Hoya, Miguel, de Putter, Robin, Dennis, Joe, DePersia, Allison, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer A, Domchek, Susan M, Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana M, Eliassen, Heather A, Engel, Christoph, Evans, Gareth D, Fasching, Peter A, Flanagan, James M, Fortner, Renée T, Machackova, Eva, Friedman, Eitan, Ganz, Patricia A, Garber, Judy, Gensini, Francesca, Giles, Graham G, Glendon, Gord, Godwin, Andrew K, Goodman, Marc T, Greene, Mark H, Gronwald, Jacek, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Hansen, Thomas VO, Harris, Holly R, Hartman, Mikael, Heitz, Florian, Hildebrandt, Michelle AT, Høgdall, Estrid, Høgdall, Claus K, Hopper, John L, Huang, Ruea-Yea, Huff, Chad, Hulick, Peter J, Huntsman, David G, Imyanitov, Evgeny N, Isaacs, Claudine, Jakubowska, Anna, James, Paul A, and Janavicius, Ramunas

Subjects
Prevention, Cancer, Ovarian Cancer, Rare Diseases, Good Health and Well Being, Bayes Theorem, Breast Neoplasms, Carcinoma, Ovarian Epithelial, Female, Genetic Predisposition to Disease, Humans, Male, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Prospective Studies, Risk Factors, GEMO Study Collaborators, GC-HBOC Study Collaborators, EMBRACE Collaborators, OPAL Study Group, AOCS Group, KConFab Investigators, HEBON Investigators, OCAC Consortium, CIMBA Consortium, Genetics, Clinical Sciences, Genetics & Heredity
Abstract

Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28-1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08-1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21-1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29-1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35-1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.

Published
2022

11. The predictive ability of the 313 variant-based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant.

Author

Lakeman, Inge MM, van den Broek, Alexandra J, Vos, Juliën AM, Barnes, Daniel R, Adlard, Julian, Andrulis, Irene L, Arason, Adalgeir, Arnold, Norbert, Arun, Banu K, Balmaña, Judith, Barrowdale, Daniel, Benitez, Javier, Borg, Ake, Caldés, Trinidad, Caligo, Maria A, Chung, Wendy K, Claes, Kathleen BM, GEMO Study Collaborators, EMBRACE Collaborators, Collée, J Margriet, Couch, Fergus J, Daly, Mary B, Dennis, Joe, Dhawan, Mallika, Domchek, Susan M, Eeles, Ros, Engel, Christoph, Evans, D Gareth, Feliubadaló, Lidia, Foretova, Lenka, Friedman, Eitan, Frost, Debra, Ganz, Patricia A, Garber, Judy, Gayther, Simon A, Gerdes, Anne-Marie, Godwin, Andrew K, Goldgar, David E, Hahnen, Eric, Hake, Christopher R, Hamann, Ute, Hogervorst, Frans BL, Hooning, Maartje J, Hopper, John L, Hulick, Peter J, Imyanitov, Evgeny N, OCGN Investigators, HEBON Investigators, KconFab Investigators, Isaacs, Claudine, Izatt, Louise, Jakubowska, Anna, James, Paul A, Janavicius, Ramunas, Jensen, Uffe Birk, Jiao, Yue, John, Esther M, Joseph, Vijai, Karlan, Beth Y, Kets, Carolien M, Konstantopoulou, Irene, Kwong, Ava, Legrand, Clémentine, Leslie, Goska, Lesueur, Fabienne, Loud, Jennifer T, Lubiński, Jan, Manoukian, Siranoush, McGuffog, Lesley, Miller, Austin, Gomes, Denise Molina, Montagna, Marco, Mouret-Fourme, Emmanuelle, Nathanson, Katherine L, Neuhausen, Susan L, Nevanlinna, Heli, Yie, Joanne Ngeow Yuen, Olah, Edith, Olopade, Olufunmilayo I, Park, Sue K, Parsons, Michael T, Peterlongo, Paolo, Piedmonte, Marion, Radice, Paolo, Rantala, Johanna, Rennert, Gad, Risch, Harvey A, Schmutzler, Rita K, Sharma, Priyanka, Simard, Jacques, Singer, Christian F, Stadler, Zsofia, Stoppa-Lyonnet, Dominique, Sutter, Christian, Tan, Yen Yen, Teixeira, Manuel R, Teo, Soo Hwang, Teulé, Alex, Thomassen, Mads, and Thull, Darcy L

Subjects
GEMO Study Collaborators, EMBRACE Collaborators, OCGN Investigators, HEBON Investigators, KconFab Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, BRCA2 Protein, Risk Factors, Retrospective Studies, Heterozygote, Mutation, Adult, Female, Prevention, Cancer, Aging, Breast Cancer, 2.1 Biological and endogenous factors, Genetics & Heredity, Genetics, Clinical Sciences
Abstract

PurposeTo evaluate the association between a previously published 313 variant-based breast cancer (BC) polygenic risk score (PRS313) and contralateral breast cancer (CBC) risk, in BRCA1 and BRCA2 pathogenic variant heterozygotes.MethodsWe included women of European ancestry with a prevalent first primary invasive BC (BRCA1 = 6,591 with 1,402 prevalent CBC cases; BRCA2 = 4,208 with 647 prevalent CBC cases) from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA), a large international retrospective series. Cox regression analysis was performed to assess the association between overall and ER-specific PRS313 and CBC risk.ResultsFor BRCA1 heterozygotes the estrogen receptor (ER)-negative PRS313 showed the largest association with CBC risk, hazard ratio (HR) per SD = 1.12, 95% confidence interval (CI) (1.06-1.18), C-index = 0.53; for BRCA2 heterozygotes, this was the ER-positive PRS313, HR = 1.15, 95% CI (1.07-1.25), C-index = 0.57. Adjusting for family history, age at diagnosis, treatment, or pathological characteristics for the first BC did not change association effect sizes. For women developing first BC

Published
2021

12. Functional genomics of human clear cell sarcoma: genomic, transcriptomic and chemical biology landscape for clear cell sarcoma

Author

Rasmussen, Samuel V., Wozniak, Agnieszka, Lathara, Melvin, Goldenberg, Joshua M., Samudio, Benjamin M., Bickford, Lissett R., Nagamori, Kiyo, Wright, Hollis, Woods, Andrew D., Chauhan, Shefali, Lee, Che-Jui, Rudzinski, Erin R., Swift, Michael K., Kondo, Tadashi, Fisher, David E., Imyanitov, Evgeny, Machado, Isidro, Llombart-Bosch, Antonio, Andrulis, Irene L., Gokgoz, Nalan, Wunder, Jay, Mirotaki, Hiroshi, Nakamura, Takuro, Srinivasa, Ganapati, Thway, Khin, Jones, Robin L., Huang, Paul H., Berlow, Noah E., Schöffski, Patrick, and Keller, Charles

Published
2023
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14. Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants

Author

Barnes, Daniel R, Rookus, Matti A, McGuffog, Lesley, Leslie, Goska, Mooij, Thea M, Dennis, Joe, Mavaddat, Nasim, Adlard, Julian, Ahmed, Munaza, Aittomäki, Kristiina, Andrieu, Nadine, Andrulis, Irene L, Arnold, Norbert, Arun, Banu K, Azzollini, Jacopo, Balmaña, Judith, Barkardottir, Rosa B, Barrowdale, Daniel, Benitez, Javier, Berthet, Pascaline, Białkowska, Katarzyna, Blanco, Amie M, Blok, Marinus J, Bonanni, Bernardo, Boonen, Susanne E, Borg, Åke, Bozsik, Aniko, Bradbury, Angela R, Brennan, Paul, Brewer, Carole, Brunet, Joan, Buys, Saundra S, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Christensen, Lise Lotte, Chung, Wendy K, Claes, Kathleen BM, Colas, Chrystelle, Collonge-Rame, Marie-Agnès, Cook, Jackie, Daly, Mary B, Davidson, Rosemarie, de la Hoya, Miguel, de Putter, Robin, Delnatte, Capucine, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Domchek, Susan M, Dorfling, Cecilia M, Dumont, Martine, Eeles, Ros, Ejlertsen, Bent, Engel, Christoph, Evans, D Gareth, Faivre, Laurence, Foretova, Lenka, Fostira, Florentia, Friedlander, Michael, Friedman, Eitan, Frost, Debra, Ganz, Patricia A, Garber, Judy, Gehrig, Andrea, Gerdes, Anne-Marie, Gesta, Paul, Giraud, Sophie, Glendon, Gord, Godwin, Andrew K, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Gschwantler-Kaulich, Daphne, Hahnen, Eric, Hamann, Ute, Hanson, Helen, Hentschel, Julia, Hogervorst, Frans BL, Hooning, Maartje J, Horvath, Judit, Hu, Chunling, Hulick, Peter J, Imyanitov, Evgeny N, Isaacs, Claudine, Izatt, Louise, Izquierdo, Angel, Jakubowska, Anna, James, Paul A, Janavicius, Ramunas, John, Esther M, Joseph, Vijai, Karlan, Beth Y, Kast, Karin, Koudijs, Marco, Kruse, Torben A, Kwong, Ava, Laitman, Yael, Lasset, Christine, and Lazaro, Conxi

Subjects
Clinical Research, Cancer, Ovarian Cancer, Prevention, Rare Diseases, Breast Cancer, 2.1 Biological and endogenous factors, Aetiology, BRCA1 Protein, BRCA2 Protein, Breast Neoplasms, Carcinoma, Ovarian Epithelial, Female, Genetic Predisposition to Disease, Heterozygote, Humans, Mutation, Ovarian Neoplasms, Prospective Studies, Retrospective Studies, Risk Factors, BRCA1, 2, breast cancer, ovarian cancer, PRS, genetics, GEMO Study Collaborators, EMBRACE Collaborators, kConFab Investigators, HEBON Investigators, GENEPSO Investigators, Consortium of Investigators of Modifiers of BRCA and BRCA2, BRCA1/2, Genetics, Clinical Sciences, Genetics & Heredity
Abstract

PurposeWe assessed the associations between population-based polygenic risk scores (PRS) for breast (BC) or epithelial ovarian cancer (EOC) with cancer risks for BRCA1 and BRCA2 pathogenic variant carriers.MethodsRetrospective cohort data on 18,935 BRCA1 and 12,339 BRCA2 female pathogenic variant carriers of European ancestry were available. Three versions of a 313 single-nucleotide polymorphism (SNP) BC PRS were evaluated based on whether they predict overall, estrogen receptor (ER)-negative, or ER-positive BC, and two PRS for overall or high-grade serous EOC. Associations were validated in a prospective cohort.ResultsThe ER-negative PRS showed the strongest association with BC risk for BRCA1 carriers (hazard ratio [HR] per standard deviation = 1.29 [95% CI 1.25-1.33], P = 3×10-72). For BRCA2, the strongest association was with overall BC PRS (HR = 1.31 [95% CI 1.27-1.36], P = 7×10-50). HR estimates decreased significantly with age and there was evidence for differences in associations by predicted variant effects on protein expression. The HR estimates were smaller than general population estimates. The high-grade serous PRS yielded the strongest associations with EOC risk for BRCA1 (HR = 1.32 [95% CI 1.25-1.40], P = 3×10-22) and BRCA2 (HR = 1.44 [95% CI 1.30-1.60], P = 4×10-12) carriers. The associations in the prospective cohort were similar.ConclusionPopulation-based PRS are strongly associated with BC and EOC risks for BRCA1/2 carriers and predict substantial absolute risk differences for women at PRS distribution extremes.

Published
2020

15. Mendelian randomisation study of height and body mass index as modifiers of ovarian cancer risk in 22,588 BRCA1 and BRCA2 mutation carriers

Author

Qian, Frank, Rookus, Matti A, Leslie, Goska, Risch, Harvey A, Greene, Mark H, Aalfs, Cora M, Adank, Muriel A, Adlard, Julian, Agnarsson, Bjarni A, Ahmed, Munaza, Aittomäki, Kristiina, Andrulis, Irene L, Arnold, Norbert, Arun, Banu K, Ausems, Margreet GEM, Azzollini, Jacopo, Barrowdale, Daniel, Barwell, Julian, Benitez, Javier, Białkowska, Katarzyna, Bonadona, Valérie, Borde, Julika, Borg, Ake, Bradbury, Angela R, Brunet, Joan, Buys, Saundra S, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Carter, Jonathan, Chiquette, Jocelyne, Chung, Wendy K, Claes, Kathleen BM, Collée, J Margriet, Collonge-Rame, Marie-Agnès, Couch, Fergus J, Daly, Mary B, Delnatte, Capucine, Diez, Orland, Domchek, Susan M, Dorfling, Cecilia M, Eason, Jacqueline, Easton, Douglas F, Eeles, Ros, Engel, Christoph, Evans, D Gareth, Faivre, Laurence, Feliubadaló, Lidia, Foretova, Lenka, Friedman, Eitan, Frost, Debra, Ganz, Patricia A, Garber, Judy, Garcia-Barberan, Vanesa, Gehrig, Andrea, Glendon, Gord, Godwin, Andrew K, Gómez Garcia, Encarna B, Hamann, Ute, Hauke, Jan, Hopper, John L, Hulick, Peter J, Imyanitov, Evgeny N, Isaacs, Claudine, Izatt, Louise, Jakubowska, Anna, Janavicius, Ramunas, John, Esther M, Karlan, Beth Y, Kets, Carolien M, Laitman, Yael, Lázaro, Conxi, Leroux, Dominique, Lester, Jenny, Lesueur, Fabienne, Loud, Jennifer T, Lubiński, Jan, Łukomska, Alicja, McGuffog, Lesley, Mebirouk, Noura, Meijers-Heijboer, Hanne EJ, Meindl, Alfons, Miller, Austin, Montagna, Marco, Mooij, Thea M, Mouret-Fourme, Emmanuelle, Nathanson, Katherine L, Nehoray, Bita, Neuhausen, Susan L, Nevanlinna, Heli, Nielsen, Finn C, Offit, Kenneth, Olah, Edith, Ong, Kai-ren, Oosterwijk, Jan C, Ottini, Laura, Parsons, Michael T, Peterlongo, Paolo, Pfeiler, Georg, and Pradhan, Nisha

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Clinical Research, Prevention, Ovarian Cancer, Breast Cancer, Genetics, Aging, Cancer, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Adult, Aged, Body Height, Body Mass Index, Female, Genes, BRCA1, Genes, BRCA2, Heterozygote, Humans, Mendelian Randomization Analysis, Menopause, Middle Aged, Mutation, Ovarian Neoplasms, Proportional Hazards Models, KConFab Investigators, HEBON Investigators, GEMO Study Collaborators, EMBRACE Collaborators, CIMBA, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundHeight and body mass index (BMI) are associated with higher ovarian cancer risk in the general population, but whether such associations exist among BRCA1/2 mutation carriers is unknown.MethodsWe applied a Mendelian randomisation approach to examine height/BMI with ovarian cancer risk using the Consortium of Investigators for the Modifiers of BRCA1/2 (CIMBA) data set, comprising 14,676 BRCA1 and 7912 BRCA2 mutation carriers, with 2923 ovarian cancer cases. We created a height genetic score (height-GS) using 586 height-associated variants and a BMI genetic score (BMI-GS) using 93 BMI-associated variants. Associations were assessed using weighted Cox models.ResultsObserved height was not associated with ovarian cancer risk (hazard ratio [HR]: 1.07 per 10-cm increase in height, 95% confidence interval [CI]: 0.94-1.23). Height-GS showed similar results (HR = 1.02, 95% CI: 0.85-1.23). Higher BMI was significantly associated with increased risk in premenopausal women with HR = 1.25 (95% CI: 1.06-1.48) and HR = 1.59 (95% CI: 1.08-2.33) per 5-kg/m2 increase in observed and genetically determined BMI, respectively. No association was found for postmenopausal women. Interaction between menopausal status and BMI was significant (Pinteraction

Published
2019

16. Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer.

Author

Ferreira, Manuel A, Gamazon, Eric R, Al-Ejeh, Fares, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arason, Adalgeir, Arndt, Volker, Aronson, Kristan J, Arun, Banu K, Asseryanis, Ella, Azzollini, Jacopo, Balmaña, Judith, Barnes, Daniel R, Barrowdale, Daniel, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Białkowska, Katarzyna, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Broeks, Annegien, Burwinkel, Barbara, Caldés, Trinidad, Caligo, Maria A, Campa, Daniele, Campbell, Ian, Canzian, Federico, Carter, Jonathan, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Christiansen, Hans, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, EMBRACE Collaborators, GC-HBOC Study Collaborators, GEMO Study Collaborators, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, de la Hoya, Miguel, Dennis, Joe, Devilee, Peter, Diez, Orland, Dörk, Thilo, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Ejlertsen, Bent, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Friedman, Eitan, Frost, Debra, Gabrielson, Marike, Gago-Dominguez, Manuela, Ganz, Patricia A, Gapstur, Susan M, Garber, Judy, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Glendon, Gord, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Gronwald, Jacek, Guénel, Pascal, Haiman, Christopher A, Hall, Per, Hamann, Ute, He, Wei, Heyworth, Jane, Hogervorst, Frans BL, Hollestelle, Antoinette, Hoover, Robert N, Hopper, John L, Hulick, Peter J, Humphreys, Keith, Imyanitov, Evgeny N, ABCTB Investigators, HEBON Investigators, and BCFR Investigators

Subjects
EMBRACE Collaborators, GC-HBOC Study Collaborators, GEMO Study Collaborators, ABCTB Investigators, HEBON Investigators, BCFR Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Gene Expression Profiling, Quantitative Trait Loci, Female, Genome-Wide Association Study, Prevention, Cancer, Human Genome, Aging, Breast Cancer, Genetics, Biotechnology, 2.1 Biological and endogenous factors
Abstract

Genome-wide association studies (GWAS) have identified more than 170 breast cancer susceptibility loci. Here we hypothesize that some risk-associated variants might act in non-breast tissues, specifically adipose tissue and immune cells from blood and spleen. Using expression quantitative trait loci (eQTL) reported in these tissues, we identify 26 previously unreported, likely target genes of overall breast cancer risk variants, and 17 for estrogen receptor (ER)-negative breast cancer, several with a known immune function. We determine the directional effect of gene expression on disease risk measured based on single and multiple eQTL. In addition, using a gene-based test of association that considers eQTL from multiple tissues, we identify seven (and four) regions with variants associated with overall (and ER-negative) breast cancer risk, which were not reported in previous GWAS. Further investigation of the function of the implicated genes in breast and immune cells may provide insights into the etiology of breast cancer.

Published
2019

17. Height and Body Mass Index as Modifiers of Breast Cancer Risk in BRCA1/2 Mutation Carriers: A Mendelian Randomization Study.

Author

Qian, Frank, Wang, Shengfeng, Mitchell, Jonathan, McGuffog, Lesley, Barrowdale, Daniel, Leslie, Goska, Oosterwijk, Jan C, Chung, Wendy K, Evans, D Gareth, Engel, Christoph, Kast, Karin, Aalfs, Cora M, Adank, Muriel A, Adlard, Julian, Agnarsson, Bjarni A, Aittomäki, Kristiina, Alducci, Elisa, Andrulis, Irene L, Arun, Banu K, Ausems, Margreet GEM, Azzollini, Jacopo, Barouk-Simonet, Emmanuelle, Barwell, Julian, Belotti, Muriel, Benitez, Javier, Berger, Andreas, Borg, Ake, Bradbury, Angela R, Brunet, Joan, Buys, Saundra S, Caldes, Trinidad, Caligo, Maria A, Campbell, Ian, Caputo, Sandrine M, Chiquette, Jocelyne, Claes, Kathleen BM, Margriet Collée, J, Couch, Fergus J, Coupier, Isabelle, Daly, Mary B, Davidson, Rosemarie, Diez, Orland, Domchek, Susan M, Donaldson, Alan, Dorfling, Cecilia M, Eeles, Ros, Feliubadaló, Lidia, Foretova, Lenka, Fowler, Jeffrey, Friedman, Eitan, Frost, Debra, Ganz, Patricia A, Garber, Judy, Garcia-Barberan, Vanesa, Glendon, Gord, Godwin, Andrew K, Gómez Garcia, Encarna B, Gronwald, Jacek, Hahnen, Eric, Hamann, Ute, Henderson, Alex, Hendricks, Carolyn B, Hopper, John L, Hulick, Peter J, Imyanitov, Evgeny N, Isaacs, Claudine, Izatt, Louise, Izquierdo, Ángel, Jakubowska, Anna, Kaczmarek, Katarzyna, Kang, Eunyoung, Karlan, Beth Y, Kets, Carolien M, Kim, Sung-Won, Kim, Zisun, Kwong, Ava, Laitman, Yael, Lasset, Christine, Hyuk Lee, Min, Won Lee, Jong, Lee, Jihyoun, Lester, Jenny, Lesueur, Fabienne, Loud, Jennifer T, Lubinski, Jan, Mebirouk, Noura, Meijers-Heijboer, Hanne EJ, Meindl, Alfons, Miller, Austin, Montagna, Marco, Mooij, Thea M, Morrison, Patrick J, Mouret-Fourme, Emmanuelle, Nathanson, Katherine L, Neuhausen, Susan L, Nevanlinna, Heli, Niederacher, Dieter, Nielsen, Finn C, Nussbaum, Robert L, and Offit, Kenneth

Subjects
GEMO Study Collaborators, HEBON, EMBRACE, Humans, Breast Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, BRCA2 Protein, Body Mass Index, Body Height, Prognosis, Risk Factors, Mutation, Polymorphism, Single Nucleotide, Adult, Female, Mendelian Randomization Analysis, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

BackgroundBRCA1/2 mutations confer high lifetime risk of breast cancer, although other factors may modify this risk. Whether height or body mass index (BMI) modifies breast cancer risk in BRCA1/2 mutation carriers remains unclear.MethodsWe used Mendelian randomization approaches to evaluate the association of height and BMI on breast cancer risk, using data from the Consortium of Investigators of Modifiers of BRCA1/2 with 14 676 BRCA1 and 7912 BRCA2 mutation carriers, including 11 451 cases of breast cancer. We created a height genetic score using 586 height-associated variants and a BMI genetic score using 93 BMI-associated variants. We examined both observed and genetically determined height and BMI with breast cancer risk using weighted Cox models. All statistical tests were two-sided.ResultsObserved height was positively associated with breast cancer risk (HR = 1.09 per 10 cm increase, 95% confidence interval [CI] = 1.0 to 1.17; P = 1.17). Height genetic score was positively associated with breast cancer, although this was not statistically significant (per 10 cm increase in genetically predicted height, HR = 1.04, 95% CI = 0.93 to 1.17; P = .47). Observed BMI was inversely associated with breast cancer risk (per 5 kg/m2 increase, HR = 0.94, 95% CI = 0.90 to 0.98; P = .007). BMI genetic score was also inversely associated with breast cancer risk (per 5 kg/m2 increase in genetically predicted BMI, HR = 0.87, 95% CI = 0.76 to 0.98; P = .02). BMI was primarily associated with premenopausal breast cancer.ConclusionHeight is associated with overall breast cancer and BMI is associated with premenopausal breast cancer in BRCA1/2 mutation carriers. Incorporating height and BMI, particularly genetic score, into risk assessment may improve cancer management.

Published
2019

19. Changes in the concentration of EGFR-mutated plasma DNA in the first hours of targeted therapy allow the prediction of tumor response in patients with EGFR-driven lung cancer

Author

Moiseyenko, Fedor V., Kuligina, Ekaterina S., Zhabina, Albina S., Belukhin, Sergey A., Laidus, Tatiana A., Martianov, Aleksandr S., Zagorodnev, Kirill A., Sokolova, Tatyana N., Chuinyshena, Svetlana A., Kholmatov, Maxim M., Artemieva, Elizaveta V., Stepanova, Ekaterina O., Shuginova, Tatiana N., Volkov, Nikita M., Yanus, Grigoriy A., and Imyanitov, Evgeny N.

Published
2022
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21. Epidermal growth factor receptor-mutated lung carcinomas with insufficient response to epidermal growth factor receptor inhibitors.

Author

Moiseenko, Fedor, Kuligina, Ekaterina, Elsakova, Ekaterina, and Imyanitov, Evgeny

Abstract

Administration of single-agent epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) is a standard treatment option for metastatic non–small cell lung carcinomas with EGFR exon 19 deletions (ex19del) and L858R substitutions. However, there is a significant interpatient heterogeneity with regard to the degree of the response and its duration. Patients with EGFR ex19del mutation, TP53 wild-type, good performance status, low tumor burden and no circulating tumor DNA (ctDNA) at baseline have the best chances to derive pronounced benefit from TKI therapy. In contrast, subjects with EGFR L858R substitution, mutated TP53, poor overall condition, high tumor volume and detectable ctDNA are generally poor responders to EGFR inhibitors. ctDNA dynamics in the first days or weeks of treatment allows reliable identification of patients, who are very unlikely to derive clinically meaningful benefit from single-agent TKIs. These patients are candidates for clinical trials, which may involve the addition of chemotherapy and antiangiogenic drugs to patients, who failed to achieve immediate benefit from TKI monotherapy. Article highlights Virtually all patients with epidermal growth factor receptor (EGFR) mutations demonstrate some benefit immediately after initiation of EGFR tyrosine kinase inhibitors (TKI) therapy; therefore, EGFR testing is the first and a critical step in treatment planning. However, there is significant interpatient heterogeneity in the degree of the response and its duration. Patients with the EGFR ex19del mutation are more likely to derive a marked benefit from TKI therapy. In contrast, those with the EGFR L858R substitution are generally poor responders. Poor performance status, high number of metastatic sites and the presence of extrathoracic tumor spread are also well-established negative prognostic factors. TP53 is strong negative predictor for response to EGFR TKIs. Genetic alterations in some other genes may affect the efficacy of EGFR TKIs, although none of the proposed predictors has the level of evidence comparable with that of TP53. The predictive value of the baseline ctDNA level may be attributed to its ability to identify particularly aggressive tumors. Measurement of ctDNA may outperform imaging tools for assessment of the tumor volume and spread of NSCLC. Clinical trials comparing the efficacy of combined administration of EGFR TKI and cytotoxic therapy with TKI alone demonstrated significant prolongation of progression-free survival. This outcome is expected, given that both TKIs and chemotherapy are efficacious against EGFR-mutated NSCLC. Synergy between antiangiogenic drugs and EGFR TKIs has been observed. Bevacizumab and ramucirumab seem particularly promising. Combining bevacizumab with TKIs and chemotherapy seems feasible and warrants further study. Patients with poor early response to single-agent EGFR TKIs, as assessed by ctDNA dynamics, are candidates for clinical trials combining EGFR TKIs with other drugs. [ABSTRACT FROM AUTHOR]

Published
2024
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22. The Spectrum of Disease-Associated Alleles in Countries with a Predominantly Slavic Population.

Author

Yanus, Grigoriy A., Suspitsin, Evgeny N., and Imyanitov, Evgeny N.

Subjects
MEDICAL genetics, GENETIC mutation, NUCLEOTIDE sequencing, GENETIC disorders, ALLELES
Abstract

There are more than 260 million people of Slavic descent worldwide, who reside mainly in Eastern Europe but also represent a noticeable share of the population in the USA and Canada. Slavic populations, particularly Eastern Slavs and some Western Slavs, demonstrate a surprisingly high degree of genetic homogeneity, and, consequently, remarkable contribution of recurrent alleles associated with hereditary diseases. Along with pan-European pathogenic variants with clearly elevated occurrence in Slavic people (e.g., ATP7B c.3207C>A and PAH c.1222C>T), there are at least 52 pan-Slavic germ-line mutations (e.g., NBN c.657_661del and BRCA1 c.5266dupC) as well as several disease-predisposing alleles characteristic of the particular Slavic communities (e.g., Polish SDHD c.33C>A and Russian ARSB c.1562G>A variants). From a clinical standpoint, Slavs have some features of a huge founder population, thus providing a unique opportunity for efficient genetic studies. [ABSTRACT FROM AUTHOR]

Published
2024
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24. A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

Author

Lu, Yingchang, Beeghly-Fadiel, Alicia, Wu, Lang, Guo, Xingyi, Li, Bingshan, Schildkraut, Joellen M, Im, Hae Kyung, Chen, Yian A, Permuth, Jennifer B, Reid, Brett M, Teer, Jamie K, Moysich, Kirsten B, Andrulis, Irene L, Anton-Culver, Hoda, Arun, Banu K, Bandera, Elisa V, Barkardottir, Rosa B, Barnes, Daniel R, Benitez, Javier, Bjorge, Line, Brenton, James, Butzow, Ralf, Caldes, Trinidad, Caligo, Maria A, Campbell, Ian, Chang-Claude, Jenny, Claes, Kathleen BM, Couch, Fergus J, Cramer, Daniel W, Daly, Mary B, deFazio, Anna, Dennis, Joe, Diez, Orland, Domchek, Susan M, Dörk, Thilo, Easton, Douglas F, Eccles, Diana M, Fasching, Peter A, Fortner, Renée T, Fountzilas, George, Friedman, Eitan, Ganz, Patricia A, Garber, Judy, Giles, Graham G, Godwin, Andrew K, Goldgar, David E, Goodman, Marc T, Greene, Mark H, Gronwald, Jacek, Hamann, Ute, Heitz, Florian, Hildebrandt, Michelle AT, Høgdall, Claus K, Hollestelle, Antoinette, Hulick, Peter J, Huntsman, David G, Imyanitov, Evgeny N, Isaacs, Claudine, Jakubowska, Anna, James, Paul, Karlan, Beth Y, Kelemen, Linda E, Kiemeney, Lambertus A, Kjaer, Susanne K, Kwong, Ava, Le, Nhu D, Leslie, Goska, Lesueur, Fabienne, Levine, Douglas A, Mattiello, Amalia, May, Taymaa, McGuffog, Lesley, McNeish, Iain A, Merritt, Melissa A, Modugno, Francesmary, Montagna, Marco, Neuhausen, Susan L, Nevanlinna, Heli, Nielsen, Finn C, Nikitina-Zake, Liene, Nussbaum, Robert L, Offit, Kenneth, Olah, Edith, Olopade, Olufunmilayo I, Olson, Sara H, Olsson, Håkan, Osorio, Ana, Park, Sue K, Parsons, Michael T, Peeters, Petra HM, Pejovic, Tanja, Peterlongo, Paolo, Phelan, Catherine M, Pujana, Miquel Angel, Ramus, Susan J, Rennert, Gad, Risch, Harvey, Rodriguez, Gustavo C, Rodríguez-Antona, Cristina, and Romieu, Isabelle

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Prevention, Human Genome, Ovarian Cancer, Rare Diseases, Cancer, 2.1 Biological and endogenous factors, Aetiology, Carcinogenesis, Carcinoma, Ovarian Epithelial, Cohort Studies, Female, Gene Expression Profiling, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Prognosis, Quantitative Trait Loci, Risk Factors, Transcriptome, Oncology and Carcinogenesis, Oncology & Carcinogenesis, Biochemistry and cell biology, Oncology and carcinogenesis
Abstract

Large-scale genome-wide association studies (GWAS) have identified approximately 35 loci associated with epithelial ovarian cancer (EOC) risk. The majority of GWAS-identified disease susceptibility variants are located in noncoding regions, and causal genes underlying these associations remain largely unknown. Here, we performed a transcriptome-wide association study to search for novel genetic loci and plausible causal genes at known GWAS loci. We used RNA sequencing data (68 normal ovarian tissue samples from 68 individuals and 6,124 cross-tissue samples from 369 individuals) and high-density genotyping data from European descendants of the Genotype-Tissue Expression (GTEx V6) project to build ovarian and cross-tissue models of genetically regulated expression using elastic net methods. We evaluated 17,121 genes for their cis-predicted gene expression in relation to EOC risk using summary statistics data from GWAS of 97,898 women, including 29,396 EOC cases. With a Bonferroni-corrected significance level of P < 2.2 × 10-6, we identified 35 genes, including FZD4 at 11q14.2 (Z = 5.08, P = 3.83 × 10-7, the cross-tissue model; 1 Mb away from any GWAS-identified EOC risk variant), a potential novel locus for EOC risk. All other 34 significantly associated genes were located within 1 Mb of known GWAS-identified loci, including 23 genes at 6 loci not previously linked to EOC risk. Upon conditioning on nearby known EOC GWAS-identified variants, the associations for 31 genes disappeared and three genes remained (P < 1.47 × 10-3). These data identify one novel locus (FZD4) and 34 genes at 13 known EOC risk loci associated with EOC risk, providing new insights into EOC carcinogenesis.Significance: Transcriptomic analysis of a large cohort confirms earlier GWAS loci and reveals FZD4 as a novel locus associated with EOC risk. Cancer Res; 78(18); 5419-30. ©2018 AACR.

Published
2018

27. Content of circulating tumor DNA depends on the tumor type and the dynamics of tumor size, but is not influenced significantly by physical exercise, time of the day or recent meal

Author

Kuligina, Ekaterina S., Meerovich, Roman, Zagorodnev, Kirill A., Kholmatov, Maxim M., Sokolova, Tatyana N., Laidus, Tatiana A., Romanko, Aleksandr A., Martianov, Aleksandr S., Anisimova, Maria O., Zaitseva, Olga A., Yatsuk, Olga S., Yanus, Grigoriy A., and Imyanitov, Evgeny N.

Published
2021
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28. Association of breast cancer risk in BRCA1 and BRCA2 mutation carriers with genetic variants showing differential allelic expression: identification of a modifier of breast cancer risk at locus 11q22.3.

Author

Hamdi, Yosr, Soucy, Penny, Kuchenbaeker, Karoline B, Pastinen, Tomi, Droit, Arnaud, Lemaçon, Audrey, Adlard, Julian, Aittomäki, Kristiina, Andrulis, Irene L, Arason, Adalgeir, Arnold, Norbert, Arun, Banu K, Azzollini, Jacopo, Bane, Anita, Barjhoux, Laure, Barrowdale, Daniel, Benitez, Javier, Berthet, Pascaline, Blok, Marinus J, Bobolis, Kristie, Bonadona, Valérie, Bonanni, Bernardo, Bradbury, Angela R, Brewer, Carole, Buecher, Bruno, Buys, Saundra S, Caligo, Maria A, Chiquette, Jocelyne, Chung, Wendy K, Claes, Kathleen BM, Daly, Mary B, Damiola, Francesca, Davidson, Rosemarie, De la Hoya, Miguel, De Leeneer, Kim, Diez, Orland, Ding, Yuan Chun, Dolcetti, Riccardo, Domchek, Susan M, Dorfling, Cecilia M, Eccles, Diana, Eeles, Ros, Einbeigi, Zakaria, Ejlertsen, Bent, EMBRACE, Engel, Christoph, Gareth Evans, D, Feliubadalo, Lidia, Foretova, Lenka, Fostira, Florentia, Foulkes, William D, Fountzilas, George, Friedman, Eitan, Frost, Debra, Ganschow, Pamela, Ganz, Patricia A, Garber, Judy, Gayther, Simon A, GEMO Study Collaborators, Gerdes, Anne-Marie, Glendon, Gord, Godwin, Andrew K, Goldgar, David E, Greene, Mark H, Gronwald, Jacek, Hahnen, Eric, Hamann, Ute, Hansen, Thomas VO, Hart, Steven, Hays, John L, HEBON, Hogervorst, Frans BL, Hulick, Peter J, Imyanitov, Evgeny N, Isaacs, Claudine, Izatt, Louise, Jakubowska, Anna, James, Paul, Janavicius, Ramunas, Jensen, Uffe Birk, John, Esther M, Joseph, Vijai, Just, Walter, Kaczmarek, Katarzyna, Karlan, Beth Y, KConFab Investigators, Kets, Carolien M, Kirk, Judy, Kriege, Mieke, Laitman, Yael, Laurent, Maïté, Lazaro, Conxi, Leslie, Goska, Lester, Jenny, Lesueur, Fabienne, Liljegren, Annelie, Loman, Niklas, Loud, Jennifer T, Manoukian, Siranoush, and Mariani, Milena

Subjects
EMBRACE, GEMO Study Collaborators, HEBON, KConFab Investigators, Chromosomes, Human, Pair 11, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Risk, Gene Expression, Heterozygote, Mutation, Alleles, Genes, BRCA1, Genes, BRCA2, Quantitative Trait Loci, Female, Genetic Variation, Biomarkers, Tumor, BRCA1 and BRCA2 mutation carriers, Breast cancer, Cis-regulatory variants, Differential allelic expression, Genetic modifiers, Genetic susceptibility, Chromosomes, Human, Pair 11, Genes, BRCA1, BRCA2, Biomarkers, Tumor, Oncology & Carcinogenesis, Oncology and Carcinogenesis, Clinical Sciences
Abstract

PurposeCis-acting regulatory SNPs resulting in differential allelic expression (DAE) may, in part, explain the underlying phenotypic variation associated with many complex diseases. To investigate whether common variants associated with DAE were involved in breast cancer susceptibility among BRCA1 and BRCA2 mutation carriers, a list of 175 genes was developed based of their involvement in cancer-related pathways.MethodsUsing data from a genome-wide map of SNPs associated with allelic expression, we assessed the association of ~320 SNPs located in the vicinity of these genes with breast and ovarian cancer risks in 15,252 BRCA1 and 8211 BRCA2 mutation carriers ascertained from 54 studies participating in the Consortium of Investigators of Modifiers of BRCA1/2.ResultsWe identified a region on 11q22.3 that is significantly associated with breast cancer risk in BRCA1 mutation carriers (most significant SNP rs228595 p = 7 × 10-6). This association was absent in BRCA2 carriers (p = 0.57). The 11q22.3 region notably encompasses genes such as ACAT1, NPAT, and ATM. Expression quantitative trait loci associations were observed in both normal breast and tumors across this region, namely for ACAT1, ATM, and other genes. In silico analysis revealed some overlap between top risk-associated SNPs and relevant biological features in mammary cell data, which suggests potential functional significance.ConclusionWe identified 11q22.3 as a new modifier locus in BRCA1 carriers. Replication in larger studies using estrogen receptor (ER)-negative or triple-negative (i.e., ER-, progesterone receptor-, and HER2-negative) cases could therefore be helpful to confirm the association of this locus with breast cancer risk.

Published
2017

29. Male breast cancer in BRCA1 and BRCA2 mutation carriers: pathology data from the Consortium of Investigators of Modifiers of BRCA1/2

Author

Silvestri, Valentina, Barrowdale, Daniel, Mulligan, Anna Marie, Neuhausen, Susan L, Fox, Stephen, Karlan, Beth Y, Mitchell, Gillian, James, Paul, Thull, Darcy L, Zorn, Kristin K, Carter, Natalie J, Nathanson, Katherine L, Domchek, Susan M, Rebbeck, Timothy R, Ramus, Susan J, Nussbaum, Robert L, Olopade, Olufunmilayo I, Rantala, Johanna, Yoon, Sook-Yee, Caligo, Maria A, Spugnesi, Laura, Bojesen, Anders, Pedersen, Inge Sokilde, Thomassen, Mads, Jensen, Uffe Birk, Toland, Amanda Ewart, Senter, Leigha, Andrulis, Irene L, Glendon, Gord, Hulick, Peter J, Imyanitov, Evgeny N, Greene, Mark H, Mai, Phuong L, Singer, Christian F, Rappaport-Fuerhauser, Christine, Kramer, Gero, Vijai, Joseph, Offit, Kenneth, Robson, Mark, Lincoln, Anne, Jacobs, Lauren, Machackova, Eva, Foretova, Lenka, Navratilova, Marie, Vasickova, Petra, Couch, Fergus J, Hallberg, Emily, Ruddy, Kathryn J, Sharma, Priyanka, Kim, Sung-Won, kConFab Investigators, Teixeira, Manuel R, Pinto, Pedro, Montagna, Marco, Matricardi, Laura, Arason, Adalgeir, Johannsson, Oskar Th, Barkardottir, Rosa B, Jakubowska, Anna, Lubinski, Jan, Izquierdo, Angel, Pujana, Miguel Angel, Balmaña, Judith, Diez, Orland, Ivady, Gabriella, Papp, Janos, Olah, Edith, Kwong, Ava, Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON), Nevanlinna, Heli, Aittomäki, Kristiina, Perez Segura, Pedro, Caldes, Trinidad, Van Maerken, Tom, Poppe, Bruce, Claes, Kathleen BM, Isaacs, Claudine, Elan, Camille, Lasset, Christine, Stoppa-Lyonnet, Dominique, Barjhoux, Laure, Belotti, Muriel, Meindl, Alfons, Gehrig, Andrea, Sutter, Christian, Engel, Christoph, Niederacher, Dieter, Steinemann, Doris, Hahnen, Eric, Kast, Karin, Arnold, Norbert, Varon-Mateeva, Raymonda, Wand, Dorothea, Godwin, Andrew K, Evans, D Gareth, Frost, Debra, Perkins, Jo, Adlard, Julian, Izatt, Louise, and Platte, Radka

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Breast Cancer, Cancer, 2.1 Biological and endogenous factors, Aetiology, Adult, Aged, BRCA1 Protein, BRCA2 Protein, Breast Neoplasms, Breast Neoplasms, Male, Female, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Mutation, Neoplasm Staging, Polymorphism, Single Nucleotide, Male breast cancer, BRCA1/2, Pathology, Histologic grade, Genotype-phenotype correlations, kConFab Investigators, Hereditary Breast and Ovarian Cancer Research Group Netherlands, EMBRACE, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundBRCA1 and, more commonly, BRCA2 mutations are associated with increased risk of male breast cancer (MBC). However, only a paucity of data exists on the pathology of breast cancers (BCs) in men with BRCA1/2 mutations. Using the largest available dataset, we determined whether MBCs arising in BRCA1/2 mutation carriers display specific pathologic features and whether these features differ from those of BRCA1/2 female BCs (FBCs).MethodsWe characterised the pathologic features of 419 BRCA1/2 MBCs and, using logistic regression analysis, contrasted those with data from 9675 BRCA1/2 FBCs and with population-based data from 6351 MBCs in the Surveillance, Epidemiology, and End Results (SEER) database.ResultsAmong BRCA2 MBCs, grade significantly decreased with increasing age at diagnosis (P = 0.005). Compared with BRCA2 FBCs, BRCA2 MBCs were of significantly higher stage (P for trend = 2 × 10(-5)) and higher grade (P for trend = 0.005) and were more likely to be oestrogen receptor-positive [odds ratio (OR) 10.59; 95 % confidence interval (CI) 5.15-21.80] and progesterone receptor-positive (OR 5.04; 95 % CI 3.17-8.04). With the exception of grade, similar patterns of associations emerged when we compared BRCA1 MBCs and FBCs. BRCA2 MBCs also presented with higher grade than MBCs from the SEER database (P for trend = 4 × 10(-12)).ConclusionsOn the basis of the largest series analysed to date, our results show that BRCA1/2 MBCs display distinct pathologic characteristics compared with BRCA1/2 FBCs, and we identified a specific BRCA2-associated MBC phenotype characterised by a variable suggesting greater biological aggressiveness (i.e., high histologic grade). These findings could lead to the development of gender-specific risk prediction models and guide clinical strategies appropriate for MBC management.

Published
2016

33. Clinical predictors of response to single‑agent immune checkpoint inhibitors in chemotherapy‑pretreated non‑small cell lung cancer

Author

Musaelyan, Aram, primary, Moiseyenko, Fedor, additional, Emileva, Tancholpon, additional, Oganesyan, Ani, additional, Oganyan, Karina, additional, Urtenova, Magaripa, additional, Odintsova, Svetlana, additional, Chistyakov, Ivan, additional, Degtyarev, Alexey, additional, Akopov, Andrey, additional, Imyanitov, Evgeny, additional, and Orlov, Sergey, additional

Published
2024
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35. HLA gene polymorphism is a modifier of age-related breast cancer penetrance in carriers of BRCA1 pathogenic alleles

Author

Kuligina, Ekaterina S., primary, Romanko, Alexandr A., additional, Jankevic, Tatjana, additional, Martianov, Aleksandr S., additional, Ivantsov, Alexandr O., additional, Sokolova, Tatyana N., additional, Trofimov, Dmitry, additional, Kashyap, Aniruddh, additional, Cybulski, Cezary, additional, Lubiński, Jan, additional, and Imyanitov, Evgeny N., additional

Published
2024
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36. Inheritance of deleterious mutations at both BRCA1 and BRCA2 in an international sample of 32,295 women.

Author

Rebbeck, Timothy R, Friebel, Tara M, Mitra, Nandita, Wan, Fei, Chen, Stephanie, Andrulis, Irene L, Apostolou, Paraskevi, Arnold, Norbert, Arun, Banu K, Barrowdale, Daniel, Benitez, Javier, Berger, Raanan, Berthet, Pascaline, Borg, Ake, Buys, Saundra S, Caldes, Trinidad, Carter, Jonathan, Chiquette, Jocelyne, Claes, Kathleen BM, Couch, Fergus J, Cybulski, Cezary, Daly, Mary B, de la Hoya, Miguel, Diez, Orland, Domchek, Susan M, Nathanson, Katherine L, Durda, Katarzyna, Ellis, Steve, EMBRACE, Evans, D Gareth, Foretova, Lenka, Friedman, Eitan, Frost, Debra, Ganz, Patricia A, Garber, Judy, Glendon, Gord, Godwin, Andrew K, Greene, Mark H, Gronwald, Jacek, Hahnen, Eric, Hallberg, Emily, Hamann, Ute, Hansen, Thomas VO, HEBON, Imyanitov, Evgeny N, Isaacs, Claudine, Jakubowska, Anna, Janavicius, Ramunas, Jaworska-Bieniek, Katarzyna, John, Esther M, Karlan, Beth Y, Kaufman, Bella, Investigators, KConFab, Kwong, Ava, Laitman, Yael, Lasset, Christine, Lazaro, Conxi, Lester, Jenny, Loman, Niklas, Lubinski, Jan, Manoukian, Siranoush, Mitchell, Gillian, Montagna, Marco, Neuhausen, Susan L, Nevanlinna, Heli, Niederacher, Dieter, Nussbaum, Robert L, Offit, Kenneth, Olah, Edith, Olopade, Olufunmilayo I, Park, Sue Kyung, Piedmonte, Marion, Radice, Paolo, Rappaport-Fuerhauser, Christine, Rookus, Matti A, Seynaeve, Caroline, Simard, Jacques, Singer, Christian F, Soucy, Penny, Southey, Melissa, Stoppa-Lyonnet, Dominique, Sukiennicki, Grzegorz, Szabo, Csilla I, Tancredi, Mariella, Teixeira, Manuel R, Teo, Soo-Hwang, Terry, Mary Beth, Thomassen, Mads, Tihomirova, Laima, Tischkowitz, Marc, Toland, Amanda Ewart, Toloczko-Grabarek, Aleksandra, Tung, Nadine, van Rensburg, Elizabeth J, Villano, Danylo, Wang-Gohrke, Shan, Wappenschmidt, Barbara, Weitzel, Jeffrey N, Zidan, Jamal, and Zorn, Kristin K

Subjects
EMBRACE, HEBON, Humans, Breast Neoplasms, Population Surveillance, Heterozygote, Phenotype, Loss of Heterozygosity, Germ-Line Mutation, Alleles, Genes, BRCA1, Genes, BRCA2, Exons, Female, Promoter Regions, Genetic, BRCA1, BRCA2, Hereditary breast and ovarian cancer, Transheterozygosity, Genes, Promoter Regions, Genetic, Clinical Research, Breast Cancer, Cancer, 2.1 Biological and endogenous factors, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

BackgroundMost BRCA1 or BRCA2 mutation carriers have inherited a single (heterozygous) mutation. Transheterozygotes (TH) who have inherited deleterious mutations in both BRCA1 and BRCA2 are rare, and the consequences of transheterozygosity are poorly understood.MethodsFrom 32,295 female BRCA1/2 mutation carriers, we identified 93 TH (0.3 %). "Cases" were defined as TH, and "controls" were single mutations at BRCA1 (SH1) or BRCA2 (SH2). Matched SH1 "controls" carried a BRCA1 mutation found in the TH "case". Matched SH2 "controls" carried a BRCA2 mutation found in the TH "case". After matching the TH carriers with SH1 or SH2, 91 TH were matched to 9316 SH1, and 89 TH were matched to 3370 SH2.ResultsThe majority of TH (45.2 %) involved the three common Jewish mutations. TH were more likely than SH1 and SH2 women to have been ever diagnosed with breast cancer (BC; p = 0.002). TH were more likely to be diagnosed with ovarian cancer (OC) than SH2 (p = 0.017), but not SH1. Age at BC diagnosis was the same in TH vs. SH1 (p = 0.231), but was on average 4.5 years younger in TH than in SH2 (p

Published
2016

38. Fine-Scale Mapping at 9p22.2 Identifies Candidate Causal Variants That Modify Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers.

Author

Vigorito, Elena, Kuchenbaecker, Karoline B, Beesley, Jonathan, Adlard, Julian, Agnarsson, Bjarni A, Andrulis, Irene L, Arun, Banu K, Barjhoux, Laure, Belotti, Muriel, Benitez, Javier, Berger, Andreas, Bojesen, Anders, Bonanni, Bernardo, Brewer, Carole, Caldes, Trinidad, Caligo, Maria A, Campbell, Ian, Chan, Salina B, Claes, Kathleen BM, Cohn, David E, Cook, Jackie, Daly, Mary B, Damiola, Francesca, Davidson, Rosemarie, Pauw, Antoine de, Delnatte, Capucine, Diez, Orland, Domchek, Susan M, Dumont, Martine, Durda, Katarzyna, Dworniczak, Bernd, Easton, Douglas F, Eccles, Diana, Edwinsdotter Ardnor, Christina, Eeles, Ros, Ejlertsen, Bent, Ellis, Steve, Evans, D Gareth, Feliubadalo, Lidia, Fostira, Florentia, Foulkes, William D, Friedman, Eitan, Frost, Debra, Gaddam, Pragna, Ganz, Patricia A, Garber, Judy, Garcia-Barberan, Vanesa, Gauthier-Villars, Marion, Gehrig, Andrea, Gerdes, Anne-Marie, Giraud, Sophie, Godwin, Andrew K, Goldgar, David E, Hake, Christopher R, Hansen, Thomas VO, Healey, Sue, Hodgson, Shirley, Hogervorst, Frans BL, Houdayer, Claude, Hulick, Peter J, Imyanitov, Evgeny N, Isaacs, Claudine, Izatt, Louise, Izquierdo, Angel, Jacobs, Lauren, Jakubowska, Anna, Janavicius, Ramunas, Jaworska-Bieniek, Katarzyna, Jensen, Uffe Birk, John, Esther M, Vijai, Joseph, Karlan, Beth Y, Kast, Karin, KConFab Investigators, Khan, Sofia, Kwong, Ava, Laitman, Yael, Lester, Jenny, Lesueur, Fabienne, Liljegren, Annelie, Lubinski, Jan, Mai, Phuong L, Manoukian, Siranoush, Mazoyer, Sylvie, Meindl, Alfons, Mensenkamp, Arjen R, Montagna, Marco, Nathanson, Katherine L, Neuhausen, Susan L, Nevanlinna, Heli, Niederacher, Dieter, Olah, Edith, Olopade, Olufunmilayo I, Ong, Kai-Ren, Osorio, Ana, Park, Sue Kyung, Paulsson-Karlsson, Ylva, Pedersen, Inge Sokilde, Peissel, Bernard, and Peterlongo, Paolo

Subjects
KConFab Investigators, Chromosomes, Human, Pair 9, Humans, Ovarian Neoplasms, Genetic Predisposition to Disease, Chromosome Mapping, Polymorphism, Single Nucleotide, Genes, BRCA1, Genes, BRCA2, Female, Genetic Carrier Screening, General Science & Technology
Abstract

Population-based genome wide association studies have identified a locus at 9p22.2 associated with ovarian cancer risk, which also modifies ovarian cancer risk in BRCA1 and BRCA2 mutation carriers. We conducted fine-scale mapping at 9p22.2 to identify potential causal variants in BRCA1 and BRCA2 mutation carriers. Genotype data were available for 15,252 (2,462 ovarian cancer cases) BRCA1 and 8,211 (631 ovarian cancer cases) BRCA2 mutation carriers. Following genotype imputation, ovarian cancer associations were assessed for 4,873 and 5,020 SNPs in BRCA1 and BRCA 2 mutation carriers respectively, within a retrospective cohort analytical framework. In BRCA1 mutation carriers one set of eight correlated candidate causal variants for ovarian cancer risk modification was identified (top SNP rs10124837, HR: 0.73, 95%CI: 0.68 to 0.79, p-value 2× 10-16). These variants were located up to 20 kb upstream of BNC2. In BRCA2 mutation carriers one region, up to 45 kb upstream of BNC2, and containing 100 correlated SNPs was identified as candidate causal (top SNP rs62543585, HR: 0.69, 95%CI: 0.59 to 0.80, p-value 1.0 × 10-6). The candidate causal in BRCA1 mutation carriers did not include the strongest associated variant at this locus in the general population. In sum, we identified a set of candidate causal variants in a region that encompasses the BNC2 transcription start site. The ovarian cancer association at 9p22.2 may be mediated by different variants in BRCA1 mutation carriers and in the general population. Thus, potentially different mechanisms may underlie ovarian cancer risk for mutation carriers and the general population.

Published
2016

44. A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers

Author

Coignard, Juliette, Lush, Michael, Beesley, Jonathan, O’Mara, Tracy A., Dennis, Joe, Tyrer, Jonathan P., Barnes, Daniel R., McGuffog, Lesley, Leslie, Goska, Bolla, Manjeet K., Adank, Muriel A., Agata, Simona, Ahearn, Thomas, Aittomäki, Kristiina, Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J., Arun, Banu K., Augustinsson, Annelie, Azzollini, Jacopo, Barrowdale, Daniel, Baynes, Caroline, Becher, Heiko, Bermisheva, Marina, Bernstein, Leslie, Białkowska, Katarzyna, Blomqvist, Carl, Bojesen, Stig E., Bonanni, Bernardo, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Buys, Saundra S., Caldés, Trinidad, Caligo, Maria A., Campa, Daniele, Carter, Brian D., Castelao, Jose E., Chang-Claude, Jenny, Chanock, Stephen J., Chung, Wendy K., Claes, Kathleen B. M., Clarke, Christine L., Collée, J. Margriet, Conroy, Don M., Czene, Kamila, Daly, Mary B., Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Domchek, Susan M., Dörk, Thilo, dos-Santos-Silva, Isabel, Dunning, Alison M., Dwek, Miriam, Eccles, Diana M., Eliassen, A. Heather, Engel, Christoph, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Flyger, Henrik, Fostira, Florentia, Friedman, Eitan, Fritschi, Lin, Frost, Debra, Gago-Dominguez, Manuela, Gapstur, Susan M., Garber, Judy, Garcia-Barberan, Vanesa, García-Closas, Montserrat, García-Sáenz, José A., Gaudet, Mia M., Gayther, Simon A., Gehrig, Andrea, Georgoulias, Vassilios, Giles, Graham G., Godwin, Andrew K., Goldberg, Mark S., Goldgar, David E., González-Neira, Anna, Greene, Mark H., Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hall, Per, Hamann, Ute, Harrington, Patricia A., Hart, Steven N., He, Wei, Hogervorst, Frans B. L., Hollestelle, Antoinette, Hopper, John L., Horcasitas, Darling J., Hulick, Peter J., Hunter, David J., Imyanitov, Evgeny N., Jager, Agnes, Jakubowska, Anna, James, Paul A., Jensen, Uffe Birk, John, Esther M., Jones, Michael E., Kaaks, Rudolf, Kapoor, Pooja Middha, Karlan, Beth Y., Keeman, Renske, Khusnutdinova, Elza, Kiiski, Johanna I., Ko, Yon-Dschun, Kosma, Veli-Matti, Kraft, Peter, Kurian, Allison W., Laitman, Yael, Lambrechts, Diether, Le Marchand, Loic, Lester, Jenny, Lesueur, Fabienne, Lindstrom, Tricia, Lopez-Fernández, Adria, Loud, Jennifer T., Luccarini, Craig, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Martens, John W. M., Mebirouk, Noura, Meindl, Alfons, Miller, Austin, Milne, Roger L., Montagna, Marco, Nathanson, Katherine L., Neuhausen, Susan L., Nevanlinna, Heli, Nielsen, Finn C., O’Brien, Katie M., Olopade, Olufunmilayo I., Olson, Janet E., Olsson, Håkan, Osorio, Ana, Ottini, Laura, Park-Simon, Tjoung-Won, Parsons, Michael T., Pedersen, Inge Sokilde, Peshkin, Beth, Peterlongo, Paolo, Peto, Julian, Pharoah, Paul D. P., Phillips, Kelly-Anne, Polley, Eric C., Poppe, Bruce, Presneau, Nadege, Pujana, Miquel Angel, Punie, Kevin, Radice, Paolo, Rantala, Johanna, Rashid, Muhammad U., Rennert, Gad, Rennert, Hedy S., Robson, Mark, Romero, Atocha, Rossing, Maria, Saloustros, Emmanouil, Sandler, Dale P., Santella, Regina, Scheuner, Maren T., Schmidt, Marjanka K., Schmidt, Gunnar, Scott, Christopher, Sharma, Priyanka, Soucy, Penny, Southey, Melissa C., Spinelli, John J., Steinsnyder, Zoe, Stone, Jennifer, Stoppa-Lyonnet, Dominique, Swerdlow, Anthony, Tamimi, Rulla M., Tapper, William J., Taylor, Jack A., Terry, Mary Beth, Teulé, Alex, Thull, Darcy L., Tischkowitz, Marc, Toland, Amanda E., Torres, Diana, Trainer, Alison H., Truong, Thérèse, Tung, Nadine, Vachon, Celine M., Vega, Ana, Vijai, Joseph, Wang, Qin, Wappenschmidt, Barbara, Weinberg, Clarice R., Weitzel, Jeffrey N., Wendt, Camilla, Wolk, Alicja, Yadav, Siddhartha, Yang, Xiaohong R., Yannoukakos, Drakoulis, Zheng, Wei, Ziogas, Argyrios, Zorn, Kristin K., Park, Sue K., Thomassen, Mads, Offit, Kenneth, Schmutzler, Rita K., Couch, Fergus J., Simard, Jacques, Chenevix-Trench, Georgia, Easton, Douglas F., Andrieu, Nadine, and Antoniou, Antonis C.

Published
2021
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49. Frequency and spectrum of founder and non-founder BRCA1 and BRCA2 mutations in a large series of Russian breast cancer and ovarian cancer patients

Author

Sokolenko, Anna P., Sokolova, Tatiana N., Ni, Valeria I., Preobrazhenskaya, Elena V., Iyevleva, Aglaya G., Aleksakhina, Svetlana N., Romanko, Alexandr A., Bessonov, Alexandr A., Gorodnova, Tatiana V., Anisimova, Elena I., Savonevich, Elena L., Bizin, Ilya V., Stepanov, Ilya A., Krivorotko, Petr V., Berlev, Igor V., Belyaev, Alexey M., Togo, Alexandr V., and Imyanitov, Evgeny N.

Published
2020
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