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4. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes.

Author

Fachal, Laura, Aschard, Hugues, Beesley, Jonathan, Barnes, Daniel R, Allen, Jamie, Kar, Siddhartha, Pooley, Karen A, Dennis, Joe, Michailidou, Kyriaki, Turman, Constance, Soucy, Penny, Lemaçon, Audrey, Lush, Michael, Tyrer, Jonathan P, Ghoussaini, Maya, Moradi Marjaneh, Mahdi, Jiang, Xia, Agata, Simona, Aittomäki, Kristiina, Alonso, M Rosario, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arason, Adalgeir, Arndt, Volker, Aronson, Kristan J, Arun, Banu K, Auber, Bernd, Auer, Paul L, Azzollini, Jacopo, Balmaña, Judith, Barkardottir, Rosa B, Barrowdale, Daniel, Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Białkowska, Katarzyna, Blanco, Amie M, Blomqvist, Carl, Blot, William, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Borg, Ake, Bosse, Kristin, Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Brock, Ian W, Brooks-Wilson, Angela, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Cai, Qiuyin, Caldés, Trinidad, Caligo, Maria A, Camp, Nicola J, Campbell, Ian, Canzian, Federico, Carroll, Jason S, Carter, Brian D, Castelao, Jose E, Chiquette, Jocelyne, Christiansen, Hans, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, GEMO Study Collaborators, EMBRACE Collaborators, Collée, J Margriet, Cornelissen, Sten, Couch, Fergus J, Cox, Angela, Cross, Simon S, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, de la Hoya, Miguel, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Dite, Gillian S, Domchek, Susan M, Dörk, Thilo, Dos-Santos-Silva, Isabel, Droit, Arnaud, Dubois, Stéphane, Dumont, Martine, Duran, Mercedes, Durcan, Lorraine, Dwek, Miriam, Eccles, Diana M, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Fletcher, Olivia, Floris, Giuseppe, and Flyger, Henrik

Subjects
GEMO Study Collaborators, EMBRACE Collaborators, KConFab Investigators, HEBON Investigators, ABCTB Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Bayes Theorem, Risk Factors, Chromosome Mapping, Regulatory Sequences, Nucleic Acid, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Female, Genome-Wide Association Study, Biomarkers, Tumor, Genetic Testing, Prevention, Genetics, Cancer, Breast Cancer, Human Genome, Biotechnology, 2.1 Biological and endogenous factors, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract

Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of those potentially causal variants, using gene expression (expression quantitative trait loci), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways were over-represented among the highest-confidence target genes.

Published
2020

5. 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

6. 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

7. A response to "Personalised medicine and population health: breast and ovarian cancer".

Author

Antoniou, Antonis, Anton-Culver, Hoda, Borowsky, Alexander, Broeders, Mireille, Brooks, Jennifer, Chiarelli, Anna, Chiquette, Jocelyne, Cuzick, Jack, Delaloge, Suzette, Devilee, Peter, Dorval, Michael, Easton, Douglas, Eisen, Andrea, Eklund, Martin, Eloy, Laurence, Esserman, Laura, Garcia-Closas, Montserrat, Goldgar, David, Hall, Per, Knoppers, Bartha Maria, Kraft, Peter, La Croix, Andrea, Madalensky, Lisa, Mavaddat, Nasim, Mittman, Nicole, Nabi, Hermann, Olopade, Olufunmilayo, Pashayan, Nora, Schmidt, Marjanka, Shieh, Yiwey, Simard, Jacques, Stover-Fiscallini, Allison, Tice, Jeffrey A, Van't Veer, Laura, Wenger, Neil, Wolfson, Michael, Yau, Christina, and Ziv, Elad

Subjects
Humans, Breast Neoplasms, Ovarian Neoplasms, Health Care Costs, Female, Early Detection of Cancer, Precision Medicine, Population Health, Genetics & Heredity, Genetics, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine
Published
2019

8. Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations.

Author

Rebbeck, Timothy R, Friebel, Tara M, Friedman, Eitan, Hamann, Ute, Huo, Dezheng, Kwong, Ava, Olah, Edith, Olopade, Olufunmilayo I, Solano, Angela R, Teo, Soo-Hwang, Thomassen, Mads, Weitzel, Jeffrey N, Chan, TL, Couch, Fergus J, Goldgar, David E, Kruse, Torben A, Palmero, Edenir Inêz, Park, Sue Kyung, Torres, Diana, van Rensburg, Elizabeth J, McGuffog, Lesley, Parsons, Michael T, Leslie, Goska, Aalfs, Cora M, Abugattas, Julio, Adlard, Julian, Agata, Simona, Aittomäki, Kristiina, Andrews, Lesley, Andrulis, Irene L, Arason, Adalgeir, Arnold, Norbert, Arun, Banu K, Asseryanis, Ella, Auerbach, Leo, Azzollini, Jacopo, Balmaña, Judith, Barile, Monica, Barkardottir, Rosa B, Barrowdale, Daniel, Benitez, Javier, Berger, Andreas, Berger, Raanan, Blanco, Amie M, Blazer, Kathleen R, Blok, Marinus J, Bonadona, Valérie, Bonanni, Bernardo, Bradbury, Angela R, Brewer, Carole, Buecher, Bruno, Buys, Saundra S, Caldes, Trinidad, Caliebe, Almuth, Caligo, Maria A, Campbell, Ian, Caputo, Sandrine M, Chiquette, Jocelyne, Chung, Wendy K, Claes, Kathleen BM, Collée, J Margriet, Cook, Jackie, Davidson, Rosemarie, de la Hoya, Miguel, De Leeneer, Kim, de Pauw, Antoine, Delnatte, Capucine, Diez, Orland, Ding, Yuan Chun, Ditsch, Nina, Domchek, Susan M, Dorfling, Cecilia M, Velazquez, Carolina, Dworniczak, Bernd, Eason, Jacqueline, Easton, Douglas F, Eeles, Ros, Ehrencrona, Hans, Ejlertsen, Bent, EMBRACE, Engel, Christoph, Engert, Stefanie, Evans, D Gareth, Faivre, Laurence, Feliubadaló, Lidia, Ferrer, Sandra Fert, Foretova, Lenka, Fowler, Jeffrey, Frost, Debra, Galvão, Henrique CR, Ganz, Patricia A, Garber, Judy, Gauthier-Villars, Marion, Gehrig, Andrea, GEMO Study Collaborators, Gerdes, Anne-Marie, Gesta, Paul, Giannini, Giuseppe, Giraud, Sophie, and Glendon, Gord

Subjects
EMBRACE, GEMO Study Collaborators, HEBON, Humans, BRCA1 Protein, BRCA2 Protein, Family, Mutation, Geography, Internationality, Databases, Genetic, BRCA1, BRCA2, breast cancer, ethnicity, geography, mutation, ovarian cancer, Databases, Genetic, Genetics & Heredity, Genetics, Clinical Sciences
Abstract

The prevalence and spectrum of germline mutations in BRCA1 and BRCA2 have been reported in single populations, with the majority of reports focused on White in Europe and North America. The Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) has assembled data on 18,435 families with BRCA1 mutations and 11,351 families with BRCA2 mutations ascertained from 69 centers in 49 countries on six continents. This study comprehensively describes the characteristics of the 1,650 unique BRCA1 and 1,731 unique BRCA2 deleterious (disease-associated) mutations identified in the CIMBA database. We observed substantial variation in mutation type and frequency by geographical region and race/ethnicity. In addition to known founder mutations, mutations of relatively high frequency were identified in specific racial/ethnic or geographic groups that may reflect founder mutations and which could be used in targeted (panel) first pass genotyping for specific populations. Knowledge of the population-specific mutational spectrum in BRCA1 and BRCA2 could inform efficient strategies for genetic testing and may justify a more broad-based oncogenetic testing in some populations.

Published
2018

9. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer

Author

Milne, Roger L, Kuchenbaecker, Karoline B, Michailidou, Kyriaki, Beesley, Jonathan, Kar, Siddhartha, Lindström, Sara, Hui, Shirley, Lemaçon, Audrey, Soucy, Penny, Dennis, Joe, Jiang, Xia, Rostamianfar, Asha, Finucane, Hilary, Bolla, Manjeet K, McGuffog, Lesley, Wang, Qin, Aalfs, Cora M, Adams, Marcia, Adlard, Julian, Agata, Simona, Ahmed, Shahana, Ahsan, Habibul, Aittomäki, Kristiina, Al-Ejeh, Fares, Allen, Jamie, Ambrosone, Christine B, Amos, Christopher I, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Auber, Bernd, Auer, Paul L, Ausems, Margreet GEM, Azzollini, Jacopo, Bacot, François, Balmaña, Judith, Barile, Monica, Barjhoux, Laure, Barkardottir, Rosa B, Barrdahl, Myrto, Barnes, Daniel, Barrowdale, Daniel, Baynes, Caroline, Beckmann, Matthias W, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Bignon, Yves-Jean, Blazer, Kathleen R, Blok, Marinus J, Blomqvist, Carl, Blot, William, Bobolis, Kristie, Boeckx, Bram, Bogdanova, Natalia V, Bojesen, Anders, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Bozsik, Aniko, Bradbury, Angela R, Brand, Judith S, Brauch, Hiltrud, Brenner, Hermann, Bressac-de Paillerets, Brigitte, Brewer, Carole, Brinton, Louise, Broberg, Per, Brooks-Wilson, Angela, Brunet, Joan, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Byun, Jinyoung, Cai, Qiuyin, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Canzian, Federico, Caron, Olivier, Carracedo, Angel, Carter, Brian D, Castelao, J Esteban, Castera, Laurent, Caux-Moncoutier, Virginie, Chan, Salina B, Chang-Claude, Jenny, Chanock, Stephen J, Chen, Xiaoqing, Cheng, Ting-Yuan David, Chiquette, Jocelyne, Christiansen, Hans, Claes, Kathleen BM, Clarke, Christine L, Conner, Thomas, Conroy, Don M, and Cook, Jackie

Subjects
Biological Sciences, Genetics, Cancer, Human Genome, Prevention, Breast Cancer, Aging, Estrogen, 2.1 Biological and endogenous factors, Aetiology, BRCA1 Protein, Breast Neoplasms, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Heterozygote, Humans, Mutation, Polymorphism, Single Nucleotide, Receptors, Estrogen, Risk Factors, White People, ABCTB Investigators, EMBRACE, GEMO Study Collaborators, HEBON, kConFab/AOCS Investigators, NBSC Collaborators, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease. We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin. We identified independent associations at P < 5 × 10-8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1 mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.

Published
2017

10. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.

Author

Phelan, Catherine M, Kuchenbaecker, Karoline B, Tyrer, Jonathan P, Kar, Siddhartha P, Lawrenson, Kate, Winham, Stacey J, Dennis, Joe, Pirie, Ailith, Riggan, Marjorie J, Chornokur, Ganna, Earp, Madalene A, Lyra, Paulo C, Lee, Janet M, Coetzee, Simon, Beesley, Jonathan, McGuffog, Lesley, Soucy, Penny, Dicks, Ed, Lee, Andrew, Barrowdale, Daniel, Lecarpentier, Julie, Leslie, Goska, Aalfs, Cora M, Aben, Katja KH, Adams, Marcia, Adlard, Julian, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia, AOCS study group, Aravantinos, Gerasimos, Arnold, Norbert, Arun, Banu K, Arver, Brita, Azzollini, Jacopo, Balmaña, Judith, Banerjee, Susana N, Barjhoux, Laure, Barkardottir, Rosa B, Bean, Yukie, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q, Birrer, Michael J, Bjorge, Line, Black, Amanda, Blankstein, Kenneth, Blok, Marinus J, Bodelon, Clara, Bogdanova, Natalia, Bojesen, Anders, Bonanni, Bernardo, Borg, Åke, Bradbury, Angela R, Brenton, James D, Brewer, Carole, Brinton, Louise, Broberg, Per, Brooks-Wilson, Angela, Bruinsma, Fiona, Brunet, Joan, Buecher, Bruno, Butzow, Ralf, Buys, Saundra S, Caldes, Trinidad, Caligo, Maria A, Campbell, Ian, Cannioto, Rikki, Carney, Michael E, Cescon, Terence, Chan, Salina B, Chang-Claude, Jenny, Chanock, Stephen, Chen, Xiao Qing, Chiew, Yoke-Eng, Chiquette, Jocelyne, Chung, Wendy K, Claes, Kathleen BM, Conner, Thomas, Cook, Linda S, Cook, Jackie, Cramer, Daniel W, Cunningham, Julie M, D'Aloisio, Aimee A, Daly, Mary B, Damiola, Francesca, Damirovna, Sakaeva Dina, Dansonka-Mieszkowska, Agnieszka, Dao, Fanny, Davidson, Rosemarie, DeFazio, Anna, Delnatte, Capucine, Doheny, Kimberly F, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer Anne, Domchek, Susan M, and Dorfling, Cecilia M

Subjects
AOCS study group, EMBRACE Study, GEMO Study Collaborators, HEBON Study, KConFab Investigators, OPAL study group, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Genetic Predisposition to Disease, Telomere-Binding Proteins, BRCA1 Protein, BRCA2 Protein, Risk Factors, Genotype, Mutation, Polymorphism, Single Nucleotide, Alleles, Female, Meta-Analysis as Topic, Genome-Wide Association Study, Genetic Loci, Carcinoma, Ovarian Epithelial, Genetics, Cancer, Human Genome, Rare Diseases, Prevention, Ovarian Cancer, Aetiology, 2.1 Biological and endogenous factors, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.

Published
2017

11. 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

12. Implementing Multifactorial Risk Assessment with Polygenic Risk Scores for Personalized Breast Cancer Screening in the Population Setting: Challenges and Opportunities.

Author

Walker, Meghan J., Blackmore, Kristina M., Chang, Amy, Lambert-Côté, Laurence, Turgeon, Annie, Antoniou, Antonis C., Bell, Kathleen A., Broeders, Mireille J. M., Brooks, Jennifer D., Carver, Tim, Chiquette, Jocelyne, Després, Philippe, Easton, Douglas F., Eisen, Andrea, Eloy, Laurence, Evans, D. Gareth, Fienberg, Samantha, Joly, Yann, Kim, Raymond H., and Kim, Shana J.

Subjects
BREAST tumor diagnosis, RISK assessment, HEALTH status indicators, RESEARCH funding, EARLY detection of cancer, HEALTH, LOGISTIC regression analysis, MEDICAL care, INFORMATION resources, DESCRIPTIVE statistics, INTERNET, AGE distribution, GENETIC risk score, LONGITUDINAL method, CONTENT mining, TELEPHONES, BIRTHPLACES, HEALTH outcome assessment, MINORITIES, EDUCATIONAL attainment
Abstract

Simple Summary: The current approach to breast cancer screening, which is based on a person's age, overlooks individual-level differences in breast cancer risk. As a result, many people are over- or under-screened according to their actual risk of breast cancer. Risk-stratified breast screening may overcome the limitations of age-based screening, but there are still many knowledge gaps regarding how best to implement it in the population setting. This study will generate the first Canadian evidence on the adoption of breast cancer risk assessment in the population setting, to support the future implementation of risk-stratified breast cancer screening. This study demonstrated that, while risk assessment for risk-stratified screening at the population level is feasible, an equity lens must be considered in implementation to ensure cancer-screening disparities are not widened. Risk-stratified breast screening has been proposed as a strategy to overcome the limitations of age-based screening. A prospective cohort study was undertaken within the PERSPECTIVE I&I project, which will generate the first Canadian evidence on multifactorial breast cancer risk assessment in the population setting to inform the implementation of risk-stratified screening. Recruited females aged 40–69 unaffected by breast cancer, with a previous mammogram, underwent multifactorial breast cancer risk assessment. The adoption of multifactorial risk assessment, the effectiveness of methods for collecting risk factor information and the costs of risk assessment were examined. Associations between participant characteristics and study sites, as well as data collection methods, were assessed using logistic regression; all p-values are two-sided. Of the 4246 participants recruited, 88.4% completed a risk assessment, with 79.8%, 15.7% and 4.4% estimated at average, higher than average and high risk, respectively. The total per-participant cost for risk assessment was CAD 315. Participants who chose to provide risk factor information on paper/telephone (27.2%) vs. online were more likely to be older (p = 0.021), not born in Canada (p = 0.043), visible minorities (p = 0.01) and have a lower attained education (p < 0.0001) and perceived fair/poor health (p < 0.001). The 34.4% of participants requiring risk factor verification for missing/unusual values were more likely to be visible minorities (p = 0.009) and have a lower attained education (p ≤ 0.006). This study demonstrates the feasibility of risk assessment for risk-stratified screening at the population level. Implementation should incorporate an equity lens to ensure cancer-screening disparities are not widened. [ABSTRACT FROM AUTHOR]

Published
2024
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14. 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

15. Functional mechanisms underlying pleiotropic risk alleles at the 19p13.1 breast-ovarian cancer susceptibility locus.

Author

Lawrenson, Kate, Kar, Siddhartha, McCue, Karen, Kuchenbaeker, Karoline, Michailidou, Kyriaki, Tyrer, Jonathan, Beesley, Jonathan, Ramus, Susan J, Li, Qiyuan, Delgado, Melissa K, Lee, Janet M, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Arun, Banu K, Arver, Brita, Bandera, Elisa V, Barile, Monica, Barkardottir, Rosa B, Barrowdale, Daniel, Beckmann, Matthias W, Benitez, Javier, Berchuck, Andrew, Bisogna, Maria, Bjorge, Line, Blomqvist, Carl, Blot, William, Bogdanova, Natalia, Bojesen, Anders, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brennan, Paul, Brenner, Hermann, Bruinsma, Fiona, Brunet, Joan, Buhari, Shaik Ahmad, Burwinkel, Barbara, Butzow, Ralf, Buys, Saundra S, Cai, Qiuyin, Caldes, Trinidad, Campbell, Ian, Canniotto, Rikki, Chang-Claude, Jenny, Chiquette, Jocelyne, Choi, Ji-Yeob, Claes, Kathleen BM, GEMO Study Collaborators, Cook, Linda S, Cox, Angela, Cramer, Daniel W, Cross, Simon S, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, Damiola, Francesca, Dansonka-Mieszkowska, Agnieszka, Darabi, Hatef, Dennis, Joe, Devilee, Peter, Diez, Orland, Doherty, Jennifer A, Domchek, Susan M, Dorfling, Cecilia M, Dörk, Thilo, Dumont, Martine, Ehrencrona, Hans, Ejlertsen, Bent, Ellis, Steve, EMBRACE, Engel, Christoph, Lee, Eunjung, Evans, D Gareth, Fasching, Peter A, Feliubadalo, Lidia, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Foretova, Lenka, Fostira, Florentia, Foulkes, William D, Fridley, Brooke L, Friedman, Eitan, Frost, Debra, Gambino, Gaetana, Ganz, Patricia A, Garber, Judy, García-Closas, Montserrat, Gentry-Maharaj, Aleksandra, Ghoussaini, Maya, Giles, Graham G, Glasspool, Rosalind, Godwin, Andrew K, Goldberg, Mark S, and Goldgar, David E

Subjects
GEMO Study Collaborators, EMBRACE, Hereditary Breast and Ovarian Cancer Research Group Netherlands, KConFab Investigators, Australian Ovarian Cancer Study Group, Chromosomes, Human, Pair 19, Humans, Breast Neoplasms, Ovarian Neoplasms, Genetic Predisposition to Disease, RNA, Messenger, Genotype, Polymorphism, Single Nucleotide, Alleles, African Continental Ancestry Group, Asian Continental Ancestry Group, Female, Genome-Wide Association Study, Chromosomes, Human, Pair 19, RNA, Messenger, Polymorphism, Single Nucleotide, Prevention, Breast Cancer, Ovarian Cancer, Cancer, Rare Diseases, Genetics, 2.1 Biological and endogenous factors
Abstract

A locus at 19p13 is associated with breast cancer (BC) and ovarian cancer (OC) risk. Here we analyse 438 SNPs in this region in 46,451 BC and 15,438 OC cases, 15,252 BRCA1 mutation carriers and 73,444 controls and identify 13 candidate causal SNPs associated with serous OC (P=9.2 × 10(-20)), ER-negative BC (P=1.1 × 10(-13)), BRCA1-associated BC (P=7.7 × 10(-16)) and triple negative BC (P-diff=2 × 10(-5)). Genotype-gene expression associations are identified for candidate target genes ANKLE1 (P=2 × 10(-3)) and ABHD8 (P

Published
2016

18. Canadian Healthcare Professionals’ Views and Attitudes toward Risk-Stratified Breast Cancer Screening

Author

Lapointe, Julie, primary, Côté, Jean-Martin, additional, Mbuya-Bienge, Cynthia, additional, Dorval, Michel, additional, Pashayan, Nora, additional, Chiquette, Jocelyne, additional, Eloy, Laurence, additional, Turgeon, Annie, additional, Lambert-Côté, Laurence, additional, Brooks, Jennifer D., additional, Walker, Meghan J., additional, Blackmore, Kristina Maria, additional, Joly, Yann, additional, Knoppers, Bartha Maria, additional, Chiarelli, Anna Maria, additional, Simard, Jacques, additional, and Nabi, Hermann, additional

Published
2023
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21. Supplementary Table 2 from Candidate Genetic Modifiers for Breast and Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers

Author

Peterlongo, Paolo, primary, Chang-Claude, Jenny, primary, Moysich, Kirsten B., primary, Rudolph, Anja, primary, Schmutzler, Rita K., primary, Simard, Jacques, primary, Soucy, Penny, primary, Eeles, Rosalind A., primary, Easton, Douglas F., primary, Hamann, Ute, primary, Wilkening, Stefan, primary, Chen, Bowang, primary, Rookus, Matti A., primary, Schmidt, Marjanka K., primary, van der Baan, Frederieke H., primary, Spurdle, Amanda B., primary, Walker, Logan C., primary, Lose, Felicity, primary, Maia, Ana-Teresa, primary, Montagna, Marco, primary, Matricardi, Laura, primary, Lubinski, Jan, primary, Jakubowska, Anna, primary, Gómez Garcia, Encarna B., primary, Olopade, Olufunmilayo I., primary, Nussbaum, Robert L., primary, Nathanson, Katherine L., primary, Domchek, Susan M., primary, Rebbeck, Timothy R., primary, Arun, Banu K., primary, Karlan, Beth Y., primary, Orsulic, Sandra, primary, Lester, Jenny, primary, Chung, Wendy K., primary, Miron, Alex, primary, Southey, Melissa C., primary, Goldgar, David E., primary, Buys, Saundra S., primary, Janavicius, Ramunas, primary, Dorfling, Cecilia M., primary, van Rensburg, Elizabeth J., primary, Ding, Yuan Chun, primary, Neuhausen, Susan L., primary, Hansen, Thomas V.O., primary, Gerdes, Anne-Marie, primary, Ejlertsen, Bent, primary, Jønson, Lars, primary, Osorio, Ana, primary, Martínez-Bouzas, Cristina, primary, Benitez, Javier, primary, Conway, Edye E., primary, Blazer, Kathleen R., primary, Weitzel, Jeffrey N., primary, Manoukian, Siranoush, primary, Peissel, Bernard, primary, Zaffaroni, Daniela, primary, Scuvera, Giulietta, primary, Barile, Monica, primary, Ficarazzi, Filomena, primary, Mariette, Frederique, primary, Fortuzzi, Stefano, primary, Viel, Alessandra, primary, Giannini, Giuseppe, primary, Papi, Laura, primary, Martayan, Aline, primary, Tibiletti, Maria Grazia, primary, Radice, Paolo, primary, Vratimos, Athanassios, primary, Fostira, Florentia, primary, Garber, Judy E., primary, Donaldson, Alan, primary, Brewer, Carole, primary, Foo, Claire, primary, Evans, D. Gareth R., primary, Frost, Debra, primary, Eccles, Diana, primary, Brady, Angela, primary, Cook, Jackie, primary, Tischkowitz, Marc, primary, Adlard, Julian, primary, Barwell, Julian, primary, Walker, Lisa, primary, Izatt, Louise, primary, Side, Lucy E., primary, Kennedy, M. John, primary, Rogers, Mark T., primary, Porteous, Mary E., primary, Morrison, Patrick J., primary, Platte, Radka, primary, Davidson, Rosemarie, primary, Hodgson, Shirley V., primary, Ellis, Steve, primary, Cole, Trevor, primary, Godwin, Andrew K., primary, Claes, Kathleen, primary, Van Maerken, Tom, primary, Meindl, Alfons, primary, Gehrig, Andrea, primary, Sutter, Christian, primary, Engel, Christoph, primary, Niederacher, Dieter, primary, Steinemann, Doris, primary, Plendl, Hansjoerg, primary, Kast, Karin, primary, Rhiem, Kerstin, primary, Ditsch, Nina, primary, Arnold, Norbert, primary, Varon-Mateeva, Raymonda, primary, Wappenschmidt, Barbara, primary, Wang-Gohrke, Shan, primary, Bressac-de Paillerets, Brigitte, primary, Buecher, Bruno, primary, Delnatte, Capucine, primary, Houdayer, Claude, primary, Stoppa-Lyonnet, Dominique, primary, Damiola, Francesca, primary, Coupier, Isabelle, primary, Barjhoux, Laure, primary, Venat-Bouvet, Laurence, primary, Golmard, Lisa, primary, Boutry-Kryza, Nadia, primary, Sinilnikova, Olga M., primary, Caron, Olivier, primary, Pujol, Pascal, primary, Mazoyer, Sylvie, primary, Belotti, Muriel, primary, Piedmonte, Marion, primary, Friedlander, Michael L., primary, Rodriguez, Gustavo C., primary, Copeland, Larry J., primary, de la Hoya, Miguel, primary, Segura, Pedro Perez, primary, Nevanlinna, Heli, primary, Aittomäki, Kristiina, primary, van Os, Theo A.M., primary, Meijers-Heijboer, Hanne E.J., primary, van der Hout, Annemarie H., primary, Vreeswijk, Maaike P.G., primary, Hoogerbrugge, Nicoline, primary, Ausems, Margreet G.E.M., primary, van Doorn, Helena C., primary, Collée, J. Margriet, primary, Olah, Edith, primary, Diez, Orland, primary, Blanco, Ignacio, primary, Lazaro, Conxi, primary, Brunet, Joan, primary, Feliubadalo, Lidia, primary, Cybulski, Cezary, primary, Gronwald, Jacek, primary, Durda, Katarzyna, primary, Jaworska-Bieniek, Katarzyna, primary, Sukiennicki, Grzegorz, primary, Arason, Adalgeir, primary, Chiquette, Jocelyne, primary, Teixeira, Manuel R., primary, Olswold, Curtis, primary, Couch, Fergus J., primary, Lindor, Noralane M., primary, Wang, Xianshu, primary, Szabo, Csilla I., primary, Offit, Kenneth, primary, Corines, Marina, primary, Jacobs, Lauren, primary, Robson, Mark E., primary, Zhang, Liying, primary, Joseph, Vijai, primary, Berger, Andreas, primary, Singer, Christian F., primary, Rappaport, Christine, primary, Kaulich, Daphne Geschwantler, primary, Pfeiler, Georg, primary, Tea, Muy-Kheng M., primary, Phelan, Catherine M., primary, Greene, Mark H., primary, Mai, Phuong L., primary, Rennert, Gad, primary, Mulligan, Anna Marie, primary, Glendon, Gord, primary, Tchatchou, Sandrine, primary, Andrulis, Irene L., primary, Toland, Amanda Ewart, primary, Bojesen, Anders, primary, Pedersen, Inge Sokilde, primary, Thomassen, Mads, primary, Jensen, Uffe Birk, primary, Laitman, Yael, primary, Rantala, Johanna, primary, von Wachenfeldt, Anna, primary, Ehrencrona, Hans, primary, Askmalm, Marie Stenmark, primary, Borg, Åke, primary, Kuchenbaecker, Karoline B., primary, McGuffog, Lesley, primary, Barrowdale, Daniel, primary, Healey, Sue, primary, Lee, Andrew, primary, Pharoah, Paul D.P., primary, Chenevix-Trench, Georgia, primary, Antoniou, Antonis C., primary, and Friedman, Eitan, primary

Published
2023
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23. Supplementary Table 3 from Candidate Genetic Modifiers for Breast and Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers

Author

Peterlongo, Paolo, primary, Chang-Claude, Jenny, primary, Moysich, Kirsten B., primary, Rudolph, Anja, primary, Schmutzler, Rita K., primary, Simard, Jacques, primary, Soucy, Penny, primary, Eeles, Rosalind A., primary, Easton, Douglas F., primary, Hamann, Ute, primary, Wilkening, Stefan, primary, Chen, Bowang, primary, Rookus, Matti A., primary, Schmidt, Marjanka K., primary, van der Baan, Frederieke H., primary, Spurdle, Amanda B., primary, Walker, Logan C., primary, Lose, Felicity, primary, Maia, Ana-Teresa, primary, Montagna, Marco, primary, Matricardi, Laura, primary, Lubinski, Jan, primary, Jakubowska, Anna, primary, Gómez Garcia, Encarna B., primary, Olopade, Olufunmilayo I., primary, Nussbaum, Robert L., primary, Nathanson, Katherine L., primary, Domchek, Susan M., primary, Rebbeck, Timothy R., primary, Arun, Banu K., primary, Karlan, Beth Y., primary, Orsulic, Sandra, primary, Lester, Jenny, primary, Chung, Wendy K., primary, Miron, Alex, primary, Southey, Melissa C., primary, Goldgar, David E., primary, Buys, Saundra S., primary, Janavicius, Ramunas, primary, Dorfling, Cecilia M., primary, van Rensburg, Elizabeth J., primary, Ding, Yuan Chun, primary, Neuhausen, Susan L., primary, Hansen, Thomas V.O., primary, Gerdes, Anne-Marie, primary, Ejlertsen, Bent, primary, Jønson, Lars, primary, Osorio, Ana, primary, Martínez-Bouzas, Cristina, primary, Benitez, Javier, primary, Conway, Edye E., primary, Blazer, Kathleen R., primary, Weitzel, Jeffrey N., primary, Manoukian, Siranoush, primary, Peissel, Bernard, primary, Zaffaroni, Daniela, primary, Scuvera, Giulietta, primary, Barile, Monica, primary, Ficarazzi, Filomena, primary, Mariette, Frederique, primary, Fortuzzi, Stefano, primary, Viel, Alessandra, primary, Giannini, Giuseppe, primary, Papi, Laura, primary, Martayan, Aline, primary, Tibiletti, Maria Grazia, primary, Radice, Paolo, primary, Vratimos, Athanassios, primary, Fostira, Florentia, primary, Garber, Judy E., primary, Donaldson, Alan, primary, Brewer, Carole, primary, Foo, Claire, primary, Evans, D. Gareth R., primary, Frost, Debra, primary, Eccles, Diana, primary, Brady, Angela, primary, Cook, Jackie, primary, Tischkowitz, Marc, primary, Adlard, Julian, primary, Barwell, Julian, primary, Walker, Lisa, primary, Izatt, Louise, primary, Side, Lucy E., primary, Kennedy, M. John, primary, Rogers, Mark T., primary, Porteous, Mary E., primary, Morrison, Patrick J., primary, Platte, Radka, primary, Davidson, Rosemarie, primary, Hodgson, Shirley V., primary, Ellis, Steve, primary, Cole, Trevor, primary, Godwin, Andrew K., primary, Claes, Kathleen, primary, Van Maerken, Tom, primary, Meindl, Alfons, primary, Gehrig, Andrea, primary, Sutter, Christian, primary, Engel, Christoph, primary, Niederacher, Dieter, primary, Steinemann, Doris, primary, Plendl, Hansjoerg, primary, Kast, Karin, primary, Rhiem, Kerstin, primary, Ditsch, Nina, primary, Arnold, Norbert, primary, Varon-Mateeva, Raymonda, primary, Wappenschmidt, Barbara, primary, Wang-Gohrke, Shan, primary, Bressac-de Paillerets, Brigitte, primary, Buecher, Bruno, primary, Delnatte, Capucine, primary, Houdayer, Claude, primary, Stoppa-Lyonnet, Dominique, primary, Damiola, Francesca, primary, Coupier, Isabelle, primary, Barjhoux, Laure, primary, Venat-Bouvet, Laurence, primary, Golmard, Lisa, primary, Boutry-Kryza, Nadia, primary, Sinilnikova, Olga M., primary, Caron, Olivier, primary, Pujol, Pascal, primary, Mazoyer, Sylvie, primary, Belotti, Muriel, primary, Piedmonte, Marion, primary, Friedlander, Michael L., primary, Rodriguez, Gustavo C., primary, Copeland, Larry J., primary, de la Hoya, Miguel, primary, Segura, Pedro Perez, primary, Nevanlinna, Heli, primary, Aittomäki, Kristiina, primary, van Os, Theo A.M., primary, Meijers-Heijboer, Hanne E.J., primary, van der Hout, Annemarie H., primary, Vreeswijk, Maaike P.G., primary, Hoogerbrugge, Nicoline, primary, Ausems, Margreet G.E.M., primary, van Doorn, Helena C., primary, Collée, J. Margriet, primary, Olah, Edith, primary, Diez, Orland, primary, Blanco, Ignacio, primary, Lazaro, Conxi, primary, Brunet, Joan, primary, Feliubadalo, Lidia, primary, Cybulski, Cezary, primary, Gronwald, Jacek, primary, Durda, Katarzyna, primary, Jaworska-Bieniek, Katarzyna, primary, Sukiennicki, Grzegorz, primary, Arason, Adalgeir, primary, Chiquette, Jocelyne, primary, Teixeira, Manuel R., primary, Olswold, Curtis, primary, Couch, Fergus J., primary, Lindor, Noralane M., primary, Wang, Xianshu, primary, Szabo, Csilla I., primary, Offit, Kenneth, primary, Corines, Marina, primary, Jacobs, Lauren, primary, Robson, Mark E., primary, Zhang, Liying, primary, Joseph, Vijai, primary, Berger, Andreas, primary, Singer, Christian F., primary, Rappaport, Christine, primary, Kaulich, Daphne Geschwantler, primary, Pfeiler, Georg, primary, Tea, Muy-Kheng M., primary, Phelan, Catherine M., primary, Greene, Mark H., primary, Mai, Phuong L., primary, Rennert, Gad, primary, Mulligan, Anna Marie, primary, Glendon, Gord, primary, Tchatchou, Sandrine, primary, Andrulis, Irene L., primary, Toland, Amanda Ewart, primary, Bojesen, Anders, primary, Pedersen, Inge Sokilde, primary, Thomassen, Mads, primary, Jensen, Uffe Birk, primary, Laitman, Yael, primary, Rantala, Johanna, primary, von Wachenfeldt, Anna, primary, Ehrencrona, Hans, primary, Askmalm, Marie Stenmark, primary, Borg, Åke, primary, Kuchenbaecker, Karoline B., primary, McGuffog, Lesley, primary, Barrowdale, Daniel, primary, Healey, Sue, primary, Lee, Andrew, primary, Pharoah, Paul D.P., primary, Chenevix-Trench, Georgia, primary, Antoniou, Antonis C., primary, and Friedman, Eitan, primary

Published
2023
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26. Polygenic risk scores and risk-stratified breast cancer screening: Familiarity and perspectives of health care professionals

Author

Lapointe, Julie, primary, Buron, Anne-Catherine, additional, Mbuya-Bienge, Cynthia, additional, Dorval, Michel, additional, Pashayan, Nora, additional, Brooks, Jennifer D., additional, Walker, Meghan J., additional, Chiquette, Jocelyne, additional, Eloy, Laurence, additional, Blackmore, Kristina, additional, Turgeon, Annie, additional, Lambert-Côté, Laurence, additional, Leclerc, Lucas, additional, Dalpé, Gratien, additional, Joly, Yann, additional, Knoppers, Bartha Maria, additional, Chiarelli, Anna Maria, additional, Simard, Jacques, additional, and Nabi, Hermann, additional

Published
2022
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27. A collaborative model to implement flexible, accessible and efficient oncogenetic services for hereditary breast and ovarian cancer : the C-MOnGene study

Author

Gekas, Jean, Simard, Jacques, Castonguay, Lysanne, Joly, Yann, Ruizmangas, Maria-Gabriela, Hébert, Johanne, Lapointe, Julie, Chiquette, Jocelyne, Roy, Marie-Claude, Pomey, Marie-Pascale, Desbiens, Christine, Cruz-Mariño, Tania, Dorval, Michel, Touhami, Omar, Brousseau, Claire, Guertin, Jason Robert, Gagnon, Sylvain, Fortier, Sylvain, Lachapelle, Philippe, Rhéaume, Josée., Gosselin, Isabelle, Côté, Madeleine, Laberge, Maude, Nabi, Hermann, Boisvert, Karine, Poirier, Brigitte, Bouchard, Karine, Roy, Stéphane, Lavoie, Sabrina, Blanchet Saint-Pierre, Arnaud, Beaumont, Martin, Plante, Marie, Sebastianelli, Alexandra, Racine, Marie-Michelle, Renaud, Marie-Claude, Côté, Nathalie, Brisson, Carmen, Charette, Nelson, Faucher, Valérie, Leblanc, Josianne, Dubeau, Marie-Ève, Gekas, Jean, Simard, Jacques, Castonguay, Lysanne, Joly, Yann, Ruizmangas, Maria-Gabriela, Hébert, Johanne, Lapointe, Julie, Chiquette, Jocelyne, Roy, Marie-Claude, Pomey, Marie-Pascale, Desbiens, Christine, Cruz-Mariño, Tania, Dorval, Michel, Touhami, Omar, Brousseau, Claire, Guertin, Jason Robert, Gagnon, Sylvain, Fortier, Sylvain, Lachapelle, Philippe, Rhéaume, Josée., Gosselin, Isabelle, Côté, Madeleine, Laberge, Maude, Nabi, Hermann, Boisvert, Karine, Poirier, Brigitte, Bouchard, Karine, Roy, Stéphane, Lavoie, Sabrina, Blanchet Saint-Pierre, Arnaud, Beaumont, Martin, Plante, Marie, Sebastianelli, Alexandra, Racine, Marie-Michelle, Renaud, Marie-Claude, Côté, Nathalie, Brisson, Carmen, Charette, Nelson, Faucher, Valérie, Leblanc, Josianne, and Dubeau, Marie-Ève

Abstract

Medical genetic services are facing an unprecedented demand for counseling and testing for hereditary breast and ovarian cancer (HBOC) in a context of limited resources. To help resolve this issue, a collaborative oncogenetic model was recently developed and implemented at the CHU de Québec-Université Laval; Quebec; Canada. Here, we present the protocol of the C-MOnGene (Collaborative Model in OncoGenetics) study, funded to examine the context in which the model was implemented and document the lessons that can be learned to optimize the delivery of oncogenetic services. Within three years of implementation, the model allowed researchers to double the annual number of patients seen in genetic counseling. The average number of days between genetic counseling and disclosure of test results significantly decreased. Group counseling sessions improved participants' understanding of breast cancer risk and increased knowledge of breast cancer and genetics and a large majority of them reported to be overwhelmingly satisfied with the process. These quality and performance indicators suggest this oncogenetic model offers a flexible, patient-centered and efficient genetic counseling and testing for HBOC. By identifying the critical facilitating factors and barriers, our study will provide an evidence base for organizations interested in transitioning to an oncogenetic model integrated into oncology care; including teams that are not specialized but are trained in genetics.

Published
2022

28. Personalized Risk Assessment for Prevention and Early Detection of Breast Cancer: Integration and Implementation (PERSPECTIVE I&I)

Author

Brooks, Jennifer D, Nabi, Hermann H, Andrulis, Irene L, Antoniou, Antonis C, Chiquette, Jocelyne, Després, Philippe, Devilee, Peter, Dorval, Michel, Droit, Arnaud, Easton, Douglas F, Eisen, Andrea, Eloy, Laurence, Fienberg, Samantha, Goldgar, David, Hahnen, Eric, Joly, Yann, Knoppers, Bartha Maria, Lofters, Aisha, Masson, Jean-Yves, Mittmann, Nicole, Paquette, Jean-Sébastien, Pashayan, Nora, Schmutzler, Rita, Stockley, Tracy, Tavtigian, Sean V, Walker, Meghan J, Wolfson, Michael, Chiarelli, Anna Maria, and Simard, Jacques

Subjects
Breast cancer, Screening, Risk Prediction, Risk stratification
Abstract

Early detection of breast cancer through screening reduces breast cancer mortality. The benefits of screening must also be considered within the context of potential harms (e.g., false positives, overdiagnosis). Furthermore, while breast cancer risk is highly variable within the population, most screening programs use age to determine eligibility. A risk-based approach is expected to improve the benefit-harm ratio of breast cancer screening programs. The PERSPECTIVE I&I (Personalized Risk Assessment for Prevention and Early Detection of Breast Cancer: Integration and Implementation) project seeks to improve personalized risk assessment to allow for a cost-effective, population-based approach to risk-based screening and determine best practices for implementation in Canada. This commentary describes the four inter-related activities that comprise the PERSPECTIVE I&I project. 1: Identification and validation of novel moderate to high-risk susceptibility genes. 2: Improvement, validation, and adaptation of a risk prediction web-tool for the Canadian context. 3: Development and piloting of a socio-ethical framework to support implementation of risk-based breast cancer screening. 4: Economic analysis to optimize the implementation of risk-based screening. Risk-based screening and prevention is expected to benefit all women, empowering them to work with their healthcare provider to make informed decisions about screening and prevention.

Published
2021
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29. Risk-Stratified Approach to Breast Cancer Screening in Canada: Women’s Knowledge of the Legislative Context and Concerns about Discrimination from Genetic and Other Predictive Health Data

Author

Alarie, Samuel, Hagan, Julie, Dalpé, Gratien, Faraji, Sina, Mbuya-Bienge, Cynthia, Nabi, Hermann, Pashayan, Nora, Brooks, Jennifer, Dorval, Michel, Chiquette, Jocelyne, Eloy, Laurence, Turgeon, Annie, Lambert-Côté, Laurence, Paquette, Jean-Sébastien, Walker, Meghan, Lapointe, Julie, Moreno, Palmira Granados, Blackmore, Kristina, Wolfson, Michael, Broeders, Mireille, Group, The PERSPECTIVE I&I Study, Knoppers, Bartha, Chiarelli, Anna, Simard, Jacques, and Joly, Yann

Subjects
0301 basic medicine, medicine.medical_specialty, Population, Medicine (miscellaneous), Context (language use), Article, genetic discrimination, 03 medical and health sciences, Breast cancer screening, All institutes and research themes of the Radboud University Medical Center, 0302 clinical medicine, Breast cancer, breast cancer, medicine, Genetic discrimination, education, Genetic testing, education.field_of_study, medicine.diagnostic_test, business.industry, risk-stratified screening, women’s perspectives, Legislature, medicine.disease, population survey, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], 030104 developmental biology, 030220 oncology & carcinogenesis, Family medicine, Medicine, business, Risk assessment
Abstract

The success of risk-stratified approaches in improving population-based breast cancer screening programs depends in no small part on women’s buy-in. Fear of genetic discrimination (GD) could be a potential barrier to genetic testing uptake as part of risk assessment. Thus, the objective of this study was twofold. First, to evaluate Canadian women’s knowledge of the legislative context governing GD. Second, to assess their concerns about the possible use of breast cancer risk levels by insurance companies or employers. We use a cross-sectional survey of 4293 (age: 30–69) women, conducted in four Canadian provinces (Alberta, British Colombia, Ontario and Québec). Canadian women’s knowledge of the regulatory framework for GD is relatively limited, with some gaps and misconceptions noted. About a third (34.7%) of the participants had a lot of concerns about the use of their health information by employers or insurers, another third had some concerns (31.9%), while 20% had no concerns. There is a need to further educate and inform the Canadian public about GD and the legal protections that exist to prevent it. Enhanced knowledge could facilitate the implementation and uptake of risk prediction informed by genetic factors, such as the risk-stratified approach to breast cancer screening that includes risk levels.

Published
2021

30. Should Age-Dependent Absolute Risk Thresholds Be Used for Risk Stratification in Risk-Stratified Breast Cancer Screening?

Author

Pashayan, Nora, primary, Antoniou, Antonis C., additional, Lee, Andrew, additional, Wolfson, Michael, additional, Chiquette, Jocelyne, additional, Eloy, Laurence, additional, Eisen, Andrea, additional, Stockley, Tracy L., additional, Nabi, Hermann, additional, Brooks, Jennifer D., additional, Dorval, Michel, additional, Easton, Douglas F., additional, Knoppers, Bartha Maria, additional, Chiarelli, Anna M., additional, and Simard, Jacques, additional

Published
2021
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31. Cross-Cultural Adaptation and Validation of a French Version of the Genetic Counseling Satisfaction Scale (GCSS) as an Outcome Measure of Genetic Counseling for Hereditary Breast and Ovarian Cancer

Author

Villafane-Bernier, Célia, primary, Lapointe, Julie, additional, Raîche, Camille, additional, Lauzier, Sophie, additional, Chiquette, Jocelyne, additional, Bouchard, Karine, additional, Pelletier, Sylvie, additional, Omeranovic, Arian, additional, Rhéaume, Josée, additional, Brousseau, Claire, additional, Hébert, Johanne, additional, Dorval, Michel, additional, and Nabi, Hermann, additional

Published
2021
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32. Personalized Risk Assessment for Prevention and Early Detection of Breast Cancer: Integration and Implementation (PERSPECTIVE I&I)

Author

Brooks, Jennifer, primary, Nabi, Hermann, additional, Andrulis, Irene, additional, Antoniou, Antonis, additional, Chiquette, Jocelyne, additional, Després, Philippe, additional, Devilee, Peter, additional, Dorval, Michel, additional, Droit, Arnaud, additional, Easton, Douglas, additional, Eisen, Andrea, additional, Eloy, Laurence, additional, Fienberg, Samantha, additional, Goldgar, David, additional, Hahnen, Eric, additional, Joly, Yann, additional, Knoppers, Bartha, additional, Lofters, Aisha, additional, Masson, Jean-Yves, additional, Mittmann, Nicole, additional, Paquette, Jean-Sébastien, additional, Pashayan, Nora, additional, Schmutzler, Rita, additional, Stockley, Tracy, additional, Tavtigian, Sean, additional, Walker, Meghan, additional, Wolfson, Michael, additional, Chiarelli, Anna, additional, and Simard, Jacques, additional

Published
2021
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33. Additional file 1 of Whether, when, how, and how much? General public’s and cancer patients’ views about the disclosure of genomic secondary findings

Author

Cléophat, Jude Emmanuel, Dorval, Michel, El Haffaf, Zaki, Chiquette, Jocelyne, Collins, Stephanie, Malo, Benjamin, Fradet, Vincent, Joly, Yann, and Nabi, Hermann

Subjects
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Data_FILES
Abstract

Additional file 1. This document presents the discussion guide.

Published
2021
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35. Women's Views on Multifactorial Breast Cancer Risk Assessment and Risk-Stratified Screening: A Population-Based Survey from Four Provinces in Canada

Author

Mbuya-Bienge, Cynthia, Pashayan, Nora, Brooks, Jennifer D., Dorval, Michel, Chiquette, Jocelyne, Eloy, Laurence, Broeders, M.J., Simard, Jacques, Nabi, Hermann, Mbuya-Bienge, Cynthia, Pashayan, Nora, Brooks, Jennifer D., Dorval, Michel, Chiquette, Jocelyne, Eloy, Laurence, Broeders, M.J., Simard, Jacques, and Nabi, Hermann

Abstract

Contains fulltext : 231441.pdf (publisher's version ) (Open Access)

Published
2021

36. A collaborative model to implement flexible, accessible and efficient oncogenetic services for hereditary breast and ovarian cancer : the C-MOnGene study

Author

Lapointe, Julie, Dorval, Michel, Chiquette, Jocelyne, Joly, Yann, Guertin, Jason Robert, Laberge, Maude, Gekas, Jean, Hébert, Johanne, Pomey, Marie-Pascale, Cruz-Mariño, Tania, Touhami, Omar, Blanchet Saint-Pierre, Arnaud, Gagnon, Sylvain, Bouchard, Karine, Rhéaume, Josée, Boisvert, Karine, Brousseau, Claire, Castonguay, Lysanne, Fortier, Sylvain, Gosselin, Isabelle, Lachapelle, Philippe, Lavoie, Sabrina, Poirier, Brigitte, Renaud, Marie-Claude, Ruizmangas, Maria-Gabriela, Sebastianelli, Alexandra, Roy, Stéphane, Côté, Madeleine, Racine, Marie-Michelle, Roy, Marie-Claude, Côté, Nathalie, Brisson, Carmen, Charette, Nelson, Faucher, Valérie, Leblanc, Josianne, Dubeau, Marie-Ève, Plante, Marie, Desbiens, Christine, Beaumont, Martin, Simard, Jacques, Nabi, Hermann, Lapointe, Julie, Dorval, Michel, Chiquette, Jocelyne, Joly, Yann, Guertin, Jason Robert, Laberge, Maude, Gekas, Jean, Hébert, Johanne, Pomey, Marie-Pascale, Cruz-Mariño, Tania, Touhami, Omar, Blanchet Saint-Pierre, Arnaud, Gagnon, Sylvain, Bouchard, Karine, Rhéaume, Josée, Boisvert, Karine, Brousseau, Claire, Castonguay, Lysanne, Fortier, Sylvain, Gosselin, Isabelle, Lachapelle, Philippe, Lavoie, Sabrina, Poirier, Brigitte, Renaud, Marie-Claude, Ruizmangas, Maria-Gabriela, Sebastianelli, Alexandra, Roy, Stéphane, Côté, Madeleine, Racine, Marie-Michelle, Roy, Marie-Claude, Côté, Nathalie, Brisson, Carmen, Charette, Nelson, Faucher, Valérie, Leblanc, Josianne, Dubeau, Marie-Ève, Plante, Marie, Desbiens, Christine, Beaumont, Martin, Simard, Jacques, and Nabi, Hermann

Abstract

Medical genetic services are facing an unprecedented demand for counseling and testing for hereditary breast and ovarian cancer (HBOC) in a context of limited resources. To help resolve this issue, a collaborative oncogenetic model was recently developed and implemented at the CHU de Québec-Université Laval; Quebec; Canada. Here, we present the protocol of the C-MOnGene (Collaborative Model in OncoGenetics) study, funded to examine the context in which the model was implemented and document the lessons that can be learned to optimize the delivery of oncogenetic services. Within three years of implementation, the model allowed researchers to double the annual number of patients seen in genetic counseling. The average number of days between genetic counseling and disclosure of test results significantly decreased. Group counseling sessions improved participants' understanding of breast cancer risk and increased knowledge of breast cancer and genetics and a large majority of them reported to be overwhelmingly satisfied with the process. These quality and performance indicators suggest this oncogenetic model offers a flexible, patient-centered and efficient genetic counseling and testing for HBOC. By identifying the critical facilitating factors and barriers, our study will provide an evidence base for organizations interested in transitioning to an oncogenetic model integrated into oncology care; including teams that are not specialized but are trained in genetics.

Published
2021

37. Personalized Risk Assessment for Prevention and Early Detection of Breast Cancer: Integration and Implementation (PERSPECTIVE I&I)

Author

Brooks, Jennifer D., Nabi, Hermann H., Andrulis, Irene L., Antoniou, Antonis C., Chiquette, Jocelyne, Despres, Philippe, Devilee, Peter, Dorval, Michel, Droit, Arnaud, Easton, Douglas F., Eisen, Andrea, Eloy, Laurence, Fienberg, Samantha, Goldgar, David, Hahnen, Eric, Joly, Yann, Knoppers, Bartha Maria, Lofters, Aisha, Masson, Jean-Yves, Mittmann, Nicole, Paquette, Jean-Sebastien, Pashayan, Nora, Schmutzler, Rita, Stockley, Tracy, Tavtigian, Sean, V, Walker, Meghan J., Wolfson, Michael, Chiarelli, Anna Maria, Simard, Jacques, Brooks, Jennifer D., Nabi, Hermann H., Andrulis, Irene L., Antoniou, Antonis C., Chiquette, Jocelyne, Despres, Philippe, Devilee, Peter, Dorval, Michel, Droit, Arnaud, Easton, Douglas F., Eisen, Andrea, Eloy, Laurence, Fienberg, Samantha, Goldgar, David, Hahnen, Eric, Joly, Yann, Knoppers, Bartha Maria, Lofters, Aisha, Masson, Jean-Yves, Mittmann, Nicole, Paquette, Jean-Sebastien, Pashayan, Nora, Schmutzler, Rita, Stockley, Tracy, Tavtigian, Sean, V, Walker, Meghan J., Wolfson, Michael, Chiarelli, Anna Maria, and Simard, Jacques

Abstract

Early detection of breast cancer through screening reduces breast cancer mortality. The benefits of screening must also be considered within the context of potential harms (e.g., false positives, overdiagnosis). Furthermore, while breast cancer risk is highly variable within the population, most screening programs use age to determine eligibility. A risk-based approach is expected to improve the benefit-harm ratio of breast cancer screening programs. The PERSPECTIVE I&I (Personalized Risk Assessment for Prevention and Early Detection of Breast Cancer: Integration and Implementation) project seeks to improve personalized risk assessment to allow for a cost-effective, population-based approach to risk-based screening and determine best practices for implementation in Canada. This commentary describes the four inter-related activities that comprise the PERSPECTIVE I&I project. 1: Identification and validation of novel moderate to high-risk susceptibility genes. 2: Improvement, validation, and adaptation of a risk prediction web-tool for the Canadian context. 3: Development and piloting of a socio-ethical framework to support implementation of risk-based breast cancer screening. 4: Economic analysis to optimize the implementation of risk-based screening. Risk-based screening and prevention is expected to benefit all women, empowering them to work with their healthcare provider to make informed decisions about screening and prevention.

Published
2021

41. A Collaborative Model to Implement Flexible, Accessible and Efficient Oncogenetic Services for Hereditary Breast and Ovarian Cancer: The C-MOnGene Study

Author

Lapointe, Julie, primary, Dorval, Michel, additional, Chiquette, Jocelyne, additional, Joly, Yann, additional, Guertin, Jason Robert, additional, Laberge, Maude, additional, Gekas, Jean, additional, Hébert, Johanne, additional, Pomey, Marie-Pascale, additional, Cruz-Marino, Tania, additional, Touhami, Omar, additional, Blanchet Saint-Pierre, Arnaud, additional, Gagnon, Sylvain, additional, Bouchard, Karine, additional, Rhéaume, Josée, additional, Boisvert, Karine, additional, Brousseau, Claire, additional, Castonguay, Lysanne, additional, Fortier, Sylvain, additional, Gosselin, Isabelle, additional, Lachapelle, Philippe, additional, Lavoie, Sabrina, additional, Poirier, Brigitte, additional, Renaud, Marie-Claude, additional, Ruizmangas, Maria-Gabriela, additional, Sebastianelli, Alexandra, additional, Roy, Stéphane, additional, Côté, Madeleine, additional, Racine, Marie-Michelle, additional, Roy, Marie-Claude, additional, Côté, Nathalie, additional, Brisson, Carmen, additional, Charette, Nelson, additional, Faucher, Valérie, additional, Leblanc, Josianne, additional, Dubeau, Marie-Ève, additional, Plante, Marie, additional, Desbiens, Christine, additional, Beaumont, Martin, additional, Simard, Jacques, additional, and Nabi, Hermann, additional

Published
2021
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46. Women’s Views on Multifactorial Breast Cancer Risk Assessment and Risk-Stratified Screening: A Population-Based Survey from Four Provinces in Canada

Author

Mbuya Bienge, Cynthia, primary, Pashayan, Nora, additional, Brooks, Jennifer, additional, Dorval, Michel, additional, Chiquette, Jocelyne, additional, Eloy, Laurence, additional, Turgeon, Annie, additional, Lambert-Côté, Laurence, additional, Paquette, Jean-Sébastien, additional, Lévesque, Emmanuelle, additional, Hagan, Julie, additional, Walker, Meghan, additional, Lapointe, Julie, additional, Dalpé, Gratien, additional, Granados Moreno, Palmira, additional, Blackmore, Kristina, additional, Wolfson, Michael, additional, Joly, Yann, additional, Broeders, Mireille, additional, Knoppers, Bartha, additional, Chiarelli, Anna, additional, Simard, Jacques, additional, and Nabi, Hermann, additional

Published
2021
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47. Common alleles at 6q25.1 and 1p11.2 are associated with breast cancer risk for BRCA1 and BRCA2 mutation carriers

Author

Antoniou, Antonis C, Kartsonaki, Christiana, Sinilnikova, Olga M., Soucy, Penny, McGuffog, Lesley, Healey, Sue, Lee, Andrew, Peterlongo, Paolo, Manoukian, Siranoush, Peissel, Bernard, Zaffaroni, Daniela, Cattaneo, Elisa, Barile, Monica, Pensotti, Valeria, Pasini, Barbara, Dolcetti, Riccardo, Giannini, Giuseppe, Laura Putignano, Anna, Varesco, Liliana, Radice, Paolo, Mai, Phuong L., Greene, Mark H., Andrulis, Irene L., Glendon, Gord, Ozcelik, Hilmi, Thomassen, Mads, Gerdes, Anne-Marie, Kruse, Torben A., Birk Jensen, Uffe, Crüger, Dorthe G., Caligo, Maria A., Laitman, Yael, Milgrom, Roni, Kaufman, Bella, Paluch-Shimon, Shani, Friedman, Eitan, Loman, Niklas, Harbst, Katja, Lindblom, Annika, Arver, Brita, Ehrencrona, Hans, Melin, Beatrice, Nathanson, Katherine L., Domchek, Susan M., Rebbeck, Timothy, Jakubowska, Ania, Lubinski, Jan, Gronwald, Jacek, Huzarski, Tomasz, Byrski, Tomasz, Cybulski, Cezary, Gorski, Bohdan, Osorio, Ana, Ramón y Cajal, Teresa, Fostira, Florentia, Andrés, Raquel, Benitez, Javier, Hamann, Ute, Hogervorst, Frans B., Rookus, Matti A., Hooning, Maartje J., Nelen, Marcel R., van der Luijt, Rob B., van Os, Theo A.M., van Asperen, Christi J., Devilee, Peter, Meijers-Heijboer, Hanne E.J., Gómez Garcia, Encarna B., Peock, Susan, Cook, Margaret, Frost, Debra, Platte, Radka, Leyland, Jean, Gareth Evans, D., Lalloo, Fiona, Eeles, Ros, Izatt, Louise, Adlard, Julian, Davidson, Rosemarie, Eccles, Diana, Ong, Kai-ren, Cook, Jackie, Douglas, Fiona, Paterson, Joan, John Kennedy, M., Miedzybrodzka, Zosia, Godwin, Andrew, Stoppa-Lyonnet, Dominique, Buecher, Bruno, Belotti, Muriel, Tirapo, Carole, Mazoyer, Sylvie, Barjhoux, Laure, Lasset, Christine, Leroux, Dominique, Faivre, Laurence, Bronner, Myriam, Prieur, Fabienne, Nogues, Catherine, Rouleau, Etienne, Pujol, Pascal, Coupier, Isabelle, Frénay, Marc, Hopper, John L., Daly, Mary B., Terry, Mary B., John, Esther M., Buys, Saundra S., Yassin, Yosuf, Miron, Alexander, Goldgar, David, Singer, Christian F., Tea, Muy-Kheng, Pfeiler, Georg, Catharina Dressler, Anne, Hansen, Thomas v.O., Jønson, Lars, Ejlertsen, Bent, Bjork Barkardottir, Rosa, Kirchhoff, Tomas, Offit, Kenneth, Piedmonte, Marion, Rodriguez, Gustavo, Small, Laurie, Boggess, John, Blank, Stephanie, Basil, Jack, Azodi, Masoud, Ewart Toland, Amanda, Montagna, Marco, Tognazzo, Silvia, Agata, Simona, Imyanitov, Evgeny, Janavicius, Ramunas, Lazaro, Conxi, Blanco, Ignacio, Pharoah, Paul D.P., Sucheston, Lara, Karlan, Beth Y., Walsh, Christine S., Olah, Edith, Bozsik, Aniko, Teo, Soo-Hwang, Seldon, Joyce L., Beattie, Mary S., van Rensburg, Elizabeth J., Sluiter, Michelle D., Diez, Orland, Schmutzler, Rita K., Wappenschmidt, Barbara, Engel, Christoph, Meindl, Alfons, Ruehl, Ina, Varon-Mateeva, Raymonda, Kast, Karin, Deissler, Helmut, Niederacher, Dieter, Arnold, Norbert, Gadzicki, Dorothea, Schönbuchner, Ines, Caldes, Trinidad, de la Hoya, Miguel, Nevanlinna, Heli, Aittomäki, Kristiina, Dumont, Martine, Chiquette, Jocelyne, Tischkowitz, Marc, Chen, Xiaoqing, Beesley, Jonathan, Spurdle, Amanda B., Neuhausen, Susan L., Chun Ding, Yuan, Fredericksen, Zachary, Wang, Xianshu, Pankratz, Vernon S., Couch, Fergus, Simard, Jacques, Easton, Douglas F., and Chenevix-Trench, Georgia

Published
2011
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48. Survey of palliative care providers’ needs, perceived roles, and ethical concerns about addressing cancer family history at the end of life

Author

Cléophat, Jude E., primary, Pelletier, Sylvie, additional, Déry, Alberte, additional, Joly, Yann, additional, Gagnon, Pierre, additional, Marin, Ana, additional, Chiquette, Jocelyne, additional, Gagnon, Bruno, additional, Roy, Louis, additional, Bitzas, Vasiliki, additional, Nabi, Hermann, additional, and Dorval, Michel, additional

Published
2020
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50. Fine-mapping of 150 breast cancer risk regions identifies 178 high confidence target genes

Author

Fachal, Laura, Aschard, Hugues, Beesley, Jonathan, Barnes, Daniel, Allen, Jamie, Kar, Siddhartha, Pooley, Karen, Dennis, Joe, Michailidou, Kyriaki, Turman, Constance, Soucy, Penny, Lemacon, Audrey, Lush, Michael, Tyrer, Jonathan, Ghoussaini, Maya, Moradi Marjaneh, Mahdi, Jiang, Xia, Agata, Simona, Aittomaki, Kristiina, Alonso, M. Rosario, Andrulis, Irene, Anton-Culver, Hoda, Antonenkova, Natalia, Arason, Adalgeir, Arndt, Volker, Aronson, Kristan, Arun, Banu, Auber, Bernd, Auer, Paul, Azzollini, Jacopo, Balmana, Judith, Barkardottir, Rosa, Barrowdale, Daniel, Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bialkowska, Katarzyna, Blanco, Amie, Blomqvist, Carl, Blot, William, Bogdanova, Natalia, Bojesen, Stig, Bolla, Manjeet, Bonanni, Bernardo, Borg, Ake, Bosse, Kristin, Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Brock, Ian, Brooks-Wilson, Angela, Bruning, Thomas, Burwinkel, Barbara, Buys, Saundra, Cai, Qiuyin, Caldes, Trinidad, Caligo, Maria, Camp, Nicola, Campbell, Ian, Canzian, Federico, Carroll, Jason, Carter, Brian, Castelao, Jose, Chiquette, Jocelyne, Christiansen, Hans, Chung, Wendy, Claes, Kathleen, Clarke, Christine, Collee, J. Margriet, Cornelissen, Sten, Couch, Fergus, Cox, Angela, Cross, Simon, Cybulski, Cezary, Czene, Kamila, Daly, Mary, de la Hoya, Miguel, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Dite, Gillian, Domchek, Susan, Dork, Thilo, dos-Santos-Silva, Isabel, Droit, Arnaud, Dubois, Stephane, Dumont, Martine, Duran, Mercedes, Durcan, Lorraine, Dwek, Miriam, Eccles, Diana, Engel, Christoph, Eriksson, Mikael, Evans, D. 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Subjects
0303 health sciences, Linkage disequilibrium, In silico, Computational biology, Biology, 3. Good health, Chromatin, DNA binding site, 03 medical and health sciences, 0302 clinical medicine, 030220 oncology & carcinogenesis, Expression quantitative trait loci, Transcription factor, Gene, 030304 developmental biology, Genetic association
Abstract

Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants (CCVs) in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium, and enriched genomic features to determine variants with high posterior probabilities (HPPs) of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of potentially causal variants, using gene expression (eQTL), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways, were over-represented among the 178 highest confidence target genes.

Published
2019
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