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1. 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

2. 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

3. 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

4. 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

5. 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

6. Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer.

Author

Couch, Fergus J, Kuchenbaecker, Karoline B, Michailidou, Kyriaki, Mendoza-Fandino, Gustavo A, Nord, Silje, Lilyquist, Janna, Olswold, Curtis, Hallberg, Emily, Agata, Simona, Ahsan, Habibul, Aittomäki, Kristiina, Ambrosone, Christine, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Arun, Banu K, Arver, Brita, Barile, Monica, Barkardottir, Rosa B, Barrowdale, Daniel, Beckmann, Lars, Beckmann, Matthias W, Benitez, Javier, Blank, Stephanie V, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Buys, Saundra S, Caldes, Trinidad, Caligo, Maria A, Canzian, Federico, Carpenter, Jane, Chang-Claude, Jenny, Chanock, Stephen J, Chung, Wendy K, Claes, Kathleen BM, Cox, Angela, Cross, Simon S, Cunningham, Julie M, Czene, Kamila, Daly, Mary B, Damiola, Francesca, Darabi, Hatef, de la Hoya, Miguel, Devilee, Peter, Diez, Orland, Ding, Yuan C, Dolcetti, Riccardo, Domchek, Susan M, Dorfling, Cecilia M, Dos-Santos-Silva, Isabel, Dumont, Martine, Dunning, Alison M, Eccles, Diana M, Ehrencrona, Hans, Ekici, Arif B, Eliassen, Heather, Ellis, Steve, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Försti, Asta, Fostira, Florentia, Foulkes, William D, Friebel, Tara, Friedman, Eitan, Frost, Debra, Gabrielson, Marike, Gammon, Marilie D, Ganz, Patricia A, Gapstur, Susan M, Garber, Judy, Gaudet, Mia M, Gayther, Simon A, Gerdes, Anne-Marie, Ghoussaini, Maya, Giles, Graham G, Glendon, Gord, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Gronwald, Jacek, Guénel, Pascal, Gunter, Marc, Haeberle, Lothar, Haiman, Christopher A, Hamann, Ute, Hansen, Thomas VO, Hart, Steven, Healey, Sue, Heikkinen, Tuomas, Henderson, Brian E, and Herzog, Josef

Subjects
Chromosomes, Human, Pair 2, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Cyclophilins, tRNA Methyltransferases, BRCA1 Protein, Receptors, Estrogen, Risk Factors, Genotype, Heterozygote, Mutation, Polymorphism, Single Nucleotide, Female, Genome-Wide Association Study, Chromosomes, Human, Pair 2, Receptors, Estrogen, Polymorphism, Single Nucleotide, Breast Cancer, Cancer, Prevention, Genetics, Human Genome, 2.1 Biological and endogenous factors
Abstract

Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P

Published
2016

7. BRCA2 Polymorphic Stop Codon K3326X and the Risk of Breast, Prostate, and Ovarian Cancers.

Author

Meeks, Huong D, Song, Honglin, Michailidou, Kyriaki, Bolla, Manjeet K, Dennis, Joe, Wang, Qin, Barrowdale, Daniel, Frost, Debra, EMBRACE, McGuffog, Lesley, Ellis, Steve, Feng, Bingjian, Buys, Saundra S, Hopper, John L, Southey, Melissa C, Tesoriero, Andrea, kConFab Investigators, James, Paul A, Bruinsma, Fiona, Campbell, Ian G, Australia Ovarian Cancer Study Group, Broeks, Annegien, Schmidt, Marjanka K, Hogervorst, Frans BL, HEBON, Beckman, Matthias W, Fasching, Peter A, Fletcher, Olivia, Johnson, Nichola, Sawyer, Elinor J, Riboli, Elio, Banerjee, Susana, Menon, Usha, Tomlinson, Ian, Burwinkel, Barbara, Hamann, Ute, Marme, Frederik, Rudolph, Anja, Janavicius, Ramunas, Tihomirova, Laima, Tung, Nadine, Garber, Judy, Cramer, Daniel, Terry, Kathryn L, Poole, Elizabeth M, Tworoger, Shelley S, Dorfling, Cecilia M, van Rensburg, Elizabeth J, Godwin, Andrew K, Guénel, Pascal, Truong, Thérèse, GEMO Study Collaborators, Stoppa-Lyonnet, Dominique, Damiola, Francesca, Mazoyer, Sylvie, Sinilnikova, Olga M, Isaacs, Claudine, Maugard, Christine, Bojesen, Stig E, Flyger, Henrik, Gerdes, Anne-Marie, Hansen, Thomas VO, Jensen, Allen, Kjaer, Susanne K, Hogdall, Claus, Hogdall, Estrid, Pedersen, Inge Sokilde, Thomassen, Mads, Benitez, Javier, González-Neira, Anna, Osorio, Ana, Hoya, Miguel de la, Segura, Pedro Perez, Diez, Orland, Lazaro, Conxi, Brunet, Joan, Anton-Culver, Hoda, Eunjung, Lee, John, Esther M, Neuhausen, Susan L, Ding, Yuan Chun, Castillo, Danielle, Weitzel, Jeffrey N, Ganz, Patricia A, Nussbaum, Robert L, Chan, Salina B, Karlan, Beth Y, Lester, Jenny, Wu, Anna, Gayther, Simon, Ramus, Susan J, Sieh, Weiva, Whittermore, Alice S, Monteiro, Alvaro NA, Phelan, Catherine M, Terry, Mary Beth, Piedmonte, Marion, Offit, Kenneth, Robson, Mark, and Levine, Douglas

Subjects
EMBRACE, kConFab Investigators, Australia Ovarian Cancer Study Group, HEBON, GEMO Study Collaborators, OCGN, PRostate cancer AssoCiation group To Investigate Cancer Associated aLterations in the genome, Humans, Breast Neoplasms, Ovarian Neoplasms, Prostatic Neoplasms, Neoplasm Invasiveness, Genetic Predisposition to Disease, Lysine, BRCA2 Protein, Codon, Terminator, Logistic Models, Odds Ratio, Risk Assessment, Risk Factors, Heterozygote, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, Female, Male, Clinical Research, Prevention, Cancer, Prostate Cancer, Aging, Urologic Diseases, Breast Cancer, Ovarian Cancer, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

The K3326X variant in BRCA2 (BRCA2*c.9976A>T; p.Lys3326*; rs11571833) has been found to be associated with small increased risks of breast cancer. However, it is not clear to what extent linkage disequilibrium with fully pathogenic mutations might account for this association. There is scant information about the effect of K3326X in other hormone-related cancers. Using weighted logistic regression, we analyzed data from the large iCOGS study including 76 637 cancer case patients and 83 796 control patients to estimate odds ratios (ORw) and 95% confidence intervals (CIs) for K3326X variant carriers in relation to breast, ovarian, and prostate cancer risks, with weights defined as probability of not having a pathogenic BRCA2 variant. Using Cox proportional hazards modeling, we also examined the associations of K3326X with breast and ovarian cancer risks among 7183 BRCA1 variant carriers. All statistical tests were two-sided. The K3326X variant was associated with breast (ORw = 1.28, 95% CI = 1.17 to 1.40, P = 5.9x10(-) (6)) and invasive ovarian cancer (ORw = 1.26, 95% CI = 1.10 to 1.43, P = 3.8x10(-3)). These associations were stronger for serous ovarian cancer and for estrogen receptor-negative breast cancer (ORw = 1.46, 95% CI = 1.2 to 1.70, P = 3.4x10(-5) and ORw = 1.50, 95% CI = 1.28 to 1.76, P = 4.1x10(-5), respectively). For BRCA1 mutation carriers, there was a statistically significant inverse association of the K3326X variant with risk of ovarian cancer (HR = 0.43, 95% CI = 0.22 to 0.84, P = .013) but no association with breast cancer. No association with prostate cancer was observed. Our study provides evidence that the K3326X variant is associated with risk of developing breast and ovarian cancers independent of other pathogenic variants in BRCA2. Further studies are needed to determine the biological mechanism of action responsible for these associations.

Published
2016

8. 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

9. An original phylogenetic approach identified mitochondrial haplogroup T1a1 as inversely associated with breast cancer risk in BRCA2 mutation carriers

Author

Blein, Sophie, Bardel, Claire, Danjean, Vincent, McGuffog, Lesley, Healey, Sue, Barrowdale, Daniel, Lee, Andrew, Dennis, Joe, Kuchenbaecker, Karoline B, Soucy, Penny, Terry, Mary Beth, Chung, Wendy K, Goldgar, David E, Buys, Saundra S, Breast Cancer Family Registry, Janavicius, Ramunas, Tihomirova, Laima, Tung, Nadine, Dorfling, Cecilia M, van Rensburg, Elizabeth J, Neuhausen, Susan L, Ding, Yuan Chun, Gerdes, Anne-Marie, Ejlertsen, Bent, Nielsen, Finn C, Hansen, Thomas VO, Osorio, Ana, Benitez, Javier, Conejero, Raquel Andrés, Segota, Ena, Weitzel, Jeffrey N, Thelander, Margo, Peterlongo, Paolo, Radice, Paolo, Pensotti, Valeria, Dolcetti, Riccardo, Bonanni, Bernardo, Peissel, Bernard, Zaffaroni, Daniela, Scuvera, Giulietta, Manoukian, Siranoush, Varesco, Liliana, Capone, Gabriele L, Papi, Laura, Ottini, Laura, Yannoukakos, Drakoulis, Konstantopoulou, Irene, Garber, Judy, Hamann, Ute, Donaldson, Alan, Brady, Angela, Brewer, Carole, Foo, Claire, Evans, D Gareth, Frost, Debra, Eccles, Diana, EMBRACE, Douglas, Fiona, Cook, Jackie, Adlard, Julian, Barwell, Julian, Walker, Lisa, Izatt, Louise, Side, Lucy E, Kennedy, M John, Tischkowitz, Marc, Rogers, Mark T, Porteous, Mary E, Morrison, Patrick J, Platte, Radka, Eeles, Ros, Davidson, Rosemarie, Hodgson, Shirley, Cole, Trevor, Godwin, Andrew K, Isaacs, Claudine, Claes, Kathleen, De Leeneer, Kim, Meindl, Alfons, Gehrig, Andrea, Wappenschmidt, Barbara, Sutter, Christian, Engel, Christoph, Niederacher, Dieter, Steinemann, Doris, Plendl, Hansjoerg, Kast, Karin, Rhiem, Kerstin, Ditsch, Nina, Arnold, Norbert, Varon-Mateeva, Raymonda, Schmutzler, Rita K, Preisler-Adams, Sabine, Markov, Nadja Bogdanova, Wang-Gohrke, Shan, de Pauw, Antoine, Lefol, Cédrick, Lasset, Christine, Leroux, Dominique, and Rouleau, Etienne

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Breast Cancer, Cancer, 2.1 Biological and endogenous factors, Aetiology, BRCA1 Protein, Breast Neoplasms, Female, Genes, BRCA2, Genes, Mitochondrial, Genetic Predisposition to Disease, Haplotypes, Heterozygote, Humans, Mutation, Phylogeny, Risk, Breast Cancer Family Registry, EMBRACE, GEMO Study Collaborators, HEBON, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

IntroductionIndividuals carrying pathogenic mutations in the BRCA1 and BRCA2 genes have a high lifetime risk of breast cancer. BRCA1 and BRCA2 are involved in DNA double-strand break repair, DNA alterations that can be caused by exposure to reactive oxygen species, a main source of which are mitochondria. Mitochondrial genome variations affect electron transport chain efficiency and reactive oxygen species production. Individuals with different mitochondrial haplogroups differ in their metabolism and sensitivity to oxidative stress. Variability in mitochondrial genetic background can alter reactive oxygen species production, leading to cancer risk. In the present study, we tested the hypothesis that mitochondrial haplogroups modify breast cancer risk in BRCA1/2 mutation carriers.MethodsWe genotyped 22,214 (11,421 affected, 10,793 unaffected) mutation carriers belonging to the Consortium of Investigators of Modifiers of BRCA1/2 for 129 mitochondrial polymorphisms using the iCOGS array. Haplogroup inference and association detection were performed using a phylogenetic approach. ALTree was applied to explore the reference mitochondrial evolutionary tree and detect subclades enriched in affected or unaffected individuals.ResultsWe discovered that subclade T1a1 was depleted in affected BRCA2 mutation carriers compared with the rest of clade T (hazard ratio (HR) = 0.55; 95% confidence interval (CI), 0.34 to 0.88; P = 0.01). Compared with the most frequent haplogroup in the general population (that is, H and T clades), the T1a1 haplogroup has a HR of 0.62 (95% CI, 0.40 to 0.95; P = 0.03). We also identified three potential susceptibility loci, including G13708A/rs28359178, which has demonstrated an inverse association with familial breast cancer risk.ConclusionsThis study illustrates how original approaches such as the phylogeny-based method we used can empower classical molecular epidemiological studies aimed at identifying association or risk modification effects.

Published
2015

10. Association of type and location of BRCA1 and BRCA2 mutations with risk of breast and ovarian cancer.

Author

Rebbeck, Timothy R, Mitra, Nandita, Wan, Fei, Sinilnikova, Olga M, Healey, Sue, McGuffog, Lesley, Mazoyer, Sylvie, Chenevix-Trench, Georgia, Easton, Douglas F, Antoniou, Antonis C, Nathanson, Katherine L, CIMBA Consortium, Laitman, Yael, Kushnir, Anya, Paluch-Shimon, Shani, Berger, Raanan, Zidan, Jamal, Friedman, Eitan, Ehrencrona, Hans, Stenmark-Askmalm, Marie, Einbeigi, Zakaria, Loman, Niklas, Harbst, Katja, Rantala, Johanna, Melin, Beatrice, Huo, Dezheng, Olopade, Olufunmilayo I, Seldon, Joyce, Ganz, Patricia A, Nussbaum, Robert L, Chan, Salina B, Odunsi, Kunle, Gayther, Simon A, Domchek, Susan M, Arun, Banu K, Lu, Karen H, Mitchell, Gillian, Karlan, Beth Y, Walsh, Christine, Lester, Jenny, Godwin, Andrew K, Pathak, Harsh, Ross, Eric, Daly, Mary B, Whittemore, Alice S, John, Esther M, Miron, Alexander, Terry, Mary Beth, Chung, Wendy K, Goldgar, David E, Buys, Saundra S, Janavicius, Ramunas, Tihomirova, Laima, Tung, Nadine, Dorfling, Cecilia M, van Rensburg, Elizabeth J, Steele, Linda, Neuhausen, Susan L, Ding, Yuan Chun, Ejlertsen, Bent, Gerdes, Anne-Marie, Hansen, Thomas VO, Ramón y Cajal, Teresa, Osorio, Ana, Benitez, Javier, Godino, Javier, Tejada, Maria-Isabel, Duran, Mercedes, Weitzel, Jeffrey N, Bobolis, Kristie A, Sand, Sharon R, Fontaine, Annette, Savarese, Antonella, Pasini, Barbara, Peissel, Bernard, Bonanni, Bernardo, Zaffaroni, Daniela, Vignolo-Lutati, Francesca, Scuvera, Giulietta, Giannini, Giuseppe, Bernard, Loris, Genuardi, Maurizio, Radice, Paolo, Dolcetti, Riccardo, Manoukian, Siranoush, Pensotti, Valeria, Gismondi, Viviana, Yannoukakos, Drakoulis, Fostira, Florentia, Garber, Judy, Torres, Diana, Rashid, Muhammad Usman, Hamann, Ute, Peock, Susan, Frost, Debra, Platte, Radka, Evans, D Gareth, Eeles, Rosalind, Davidson, Rosemarie, and Eccles, Diana

Subjects
CIMBA Consortium, Humans, Breast Neoplasms, Ovarian Neoplasms, Genetic Predisposition to Disease, Nucleotides, Risk Factors, Age of Onset, Heterozygote, Mutation, Genes, BRCA1, Genes, BRCA2, Adult, Middle Aged, Female, Cancer, Prevention, Rare Diseases, Breast Cancer, Clinical Research, Ovarian Cancer, General & Internal Medicine, Medical and Health Sciences
Abstract

ImportanceLimited information about the relationship between specific mutations in BRCA1 or BRCA2 (BRCA1/2) and cancer risk exists.ObjectiveTo identify mutation-specific cancer risks for carriers of BRCA1/2.Design, setting, and participantsObservational study of women who were ascertained between 1937 and 2011 (median, 1999) and found to carry disease-associated BRCA1 or BRCA2 mutations. The international sample comprised 19,581 carriers of BRCA1 mutations and 11,900 carriers of BRCA2 mutations from 55 centers in 33 countries on 6 continents. We estimated hazard ratios for breast and ovarian cancer based on mutation type, function, and nucleotide position. We also estimated RHR, the ratio of breast vs ovarian cancer hazard ratios. A value of RHR greater than 1 indicated elevated breast cancer risk; a value of RHR less than 1 indicated elevated ovarian cancer risk.ExposuresMutations of BRCA1 or BRCA2.Main outcomes and measuresBreast and ovarian cancer risks.ResultsAmong BRCA1 mutation carriers, 9052 women (46%) were diagnosed with breast cancer, 2317 (12%) with ovarian cancer, 1041 (5%) with breast and ovarian cancer, and 7171 (37%) without cancer. Among BRCA2 mutation carriers, 6180 women (52%) were diagnosed with breast cancer, 682 (6%) with ovarian cancer, 272 (2%) with breast and ovarian cancer, and 4766 (40%) without cancer. In BRCA1, we identified 3 breast cancer cluster regions (BCCRs) located at c.179 to c.505 (BCCR1; RHR = 1.46; 95% CI, 1.22-1.74; P = 2 × 10(-6)), c.4328 to c.4945 (BCCR2; RHR = 1.34; 95% CI, 1.01-1.78; P = .04), and c. 5261 to c.5563 (BCCR2', RHR = 1.38; 95% CI, 1.22-1.55; P = 6 × 10(-9)). We also identified an ovarian cancer cluster region (OCCR) from c.1380 to c.4062 (approximately exon 11) with RHR = 0.62 (95% CI, 0.56-0.70; P = 9 × 10(-17)). In BRCA2, we observed multiple BCCRs spanning c.1 to c.596 (BCCR1; RHR = 1.71; 95% CI, 1.06-2.78; P = .03), c.772 to c.1806 (BCCR1'; RHR = 1.63; 95% CI, 1.10-2.40; P = .01), and c.7394 to c.8904 (BCCR2; RHR = 2.31; 95% CI, 1.69-3.16; P = .00002). We also identified 3 OCCRs: the first (OCCR1) spanned c.3249 to c.5681 that was adjacent to c.5946delT (6174delT; RHR = 0.51; 95% CI, 0.44-0.60; P = 6 × 10(-17)). The second OCCR spanned c.6645 to c.7471 (OCCR2; RHR = 0.57; 95% CI, 0.41-0.80; P = .001). Mutations conferring nonsense-mediated decay were associated with differential breast or ovarian cancer risks and an earlier age of breast cancer diagnosis for both BRCA1 and BRCA2 mutation carriers.Conclusions and relevanceBreast and ovarian cancer risks varied by type and location of BRCA1/2 mutations. With appropriate validation, these data may have implications for risk assessment and cancer prevention decision making for carriers of BRCA1 and BRCA2 mutations.

Published
2015

11. Identification of six new susceptibility loci for invasive epithelial ovarian cancer.

Author

Kuchenbaecker, Karoline B, Ramus, Susan J, Tyrer, Jonathan, Lee, Andrew, Shen, Howard C, Beesley, Jonathan, Lawrenson, Kate, McGuffog, Lesley, Healey, Sue, Lee, Janet M, Spindler, Tassja J, Lin, Yvonne G, Pejovic, Tanja, Bean, Yukie, Li, Qiyuan, Coetzee, Simon, Hazelett, Dennis, Miron, Alexander, Southey, Melissa, Terry, Mary Beth, Goldgar, David E, Buys, Saundra S, Janavicius, Ramunas, Dorfling, Cecilia M, van Rensburg, Elizabeth J, Neuhausen, Susan L, Ding, Yuan Chun, Hansen, Thomas VO, Jønson, Lars, Gerdes, Anne-Marie, Ejlertsen, Bent, Barrowdale, Daniel, Dennis, Joe, Benitez, Javier, Osorio, Ana, Garcia, Maria Jose, Komenaka, Ian, Weitzel, Jeffrey N, Ganschow, Pamela, Peterlongo, Paolo, Bernard, Loris, Viel, Alessandra, Bonanni, Bernardo, Peissel, Bernard, Manoukian, Siranoush, Radice, Paolo, Papi, Laura, Ottini, Laura, Fostira, Florentia, Konstantopoulou, Irene, Garber, Judy, Frost, Debra, Perkins, Jo, Platte, Radka, Ellis, Steve, EMBRACE, Godwin, Andrew K, Schmutzler, Rita Katharina, Meindl, Alfons, Engel, Christoph, Sutter, Christian, Sinilnikova, Olga M, GEMO Study Collaborators, Damiola, Francesca, Mazoyer, Sylvie, Stoppa-Lyonnet, Dominique, Claes, Kathleen, De Leeneer, Kim, Kirk, Judy, Rodriguez, Gustavo C, Piedmonte, Marion, O'Malley, David M, de la Hoya, Miguel, Caldes, Trinidad, Aittomäki, Kristiina, Nevanlinna, Heli, Collée, J Margriet, Rookus, Matti A, Oosterwijk, Jan C, Breast Cancer Family Registry, Tihomirova, Laima, Tung, Nadine, Hamann, Ute, Isaccs, Claudine, Tischkowitz, Marc, Imyanitov, Evgeny N, Caligo, Maria A, Campbell, Ian G, Hogervorst, Frans BL, HEBON, Olah, Edith, Diez, Orland, Blanco, Ignacio, Brunet, Joan, Lazaro, Conxi, Pujana, Miquel Angel, Jakubowska, Anna, Gronwald, Jacek, Lubinski, Jan, and Sukiennicki, Grzegorz

Subjects
EMBRACE, GEMO Study Collaborators, Breast Cancer Family Registry, HEBON, KConFab Investigators, Australian Cancer Study, Australian Ovarian Cancer Study Group, Consortium of Investigators of Modifiers of BRCA1 and BRCA2, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, BRCA2 Protein, Risk, Genotype, Heterozygote, Mutation, Polymorphism, Single Nucleotide, Alleles, Genes, Reporter, Quantitative Trait Loci, Adolescent, Adult, Female, Genome-Wide Association Study, Young Adult, Carcinoma, Ovarian Epithelial, Human Genome, Rare Diseases, Genetics, Cancer, Prevention, Ovarian Cancer, 2.1 Biological and endogenous factors, Aetiology, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Genome-wide association studies (GWAS) have identified 12 epithelial ovarian cancer (EOC) susceptibility alleles. The pattern of association at these loci is consistent in BRCA1 and BRCA2 mutation carriers who are at high risk of EOC. After imputation to 1000 Genomes Project data, we assessed associations of 11 million genetic variants with EOC risk from 15,437 cases unselected for family history and 30,845 controls and from 15,252 BRCA1 mutation carriers and 8,211 BRCA2 mutation carriers (3,096 with ovarian cancer), and we combined the results in a meta-analysis. This new study design yielded increased statistical power, leading to the discovery of six new EOC susceptibility loci. Variants at 1p36 (nearest gene, WNT4), 4q26 (SYNPO2), 9q34.2 (ABO) and 17q11.2 (ATAD5) were associated with EOC risk, and at 1p34.3 (RSPO1) and 6p22.1 (GPX6) variants were specifically associated with the serous EOC subtype, all with P < 5 × 10(-8). Incorporating these variants into risk assessment tools will improve clinical risk predictions for BRCA1 and BRCA2 mutation carriers.

Published
2015

12. Candidate Genetic Modifiers for Breast and Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers

Author

Peterlongo, Paolo, Chang-Claude, Jenny, Moysich, Kirsten B, Rudolph, Anja, Schmutzler, Rita K, Simard, Jacques, Soucy, Penny, Eeles, Rosalind A, Easton, Douglas F, Hamann, Ute, Wilkening, Stefan, Chen, Bowang, Rookus, Matti A, Schmidt, Marjanka K, van der Baan, Frederieke H, Spurdle, Amanda B, Walker, Logan C, Lose, Felicity, Maia, Ana-Teresa, Montagna, Marco, Matricardi, Laura, Lubinski, Jan, Jakubowska, Anna, Garcia, Encarna B Gómez, Olopade, Olufunmilayo I, Nussbaum, Robert L, Nathanson, Katherine L, Domchek, Susan M, Rebbeck, Timothy R, Arun, Banu K, Karlan, Beth Y, Orsulic, Sandra, Lester, Jenny, Chung, Wendy K, Miron, Alex, Southey, Melissa C, Goldgar, David E, Buys, Saundra S, Janavicius, Ramunas, Dorfling, Cecilia M, van Rensburg, Elizabeth J, Ding, Yuan Chun, Neuhausen, Susan L, Hansen, Thomas VO, Gerdes, Anne-Marie, Ejlertsen, Bent, Jønson, Lars, Osorio, Ana, Martínez-Bouzas, Cristina, Benitez, Javier, Conway, Edye E, Blazer, Kathleen R, Weitzel, Jeffrey N, Manoukian, Siranoush, Peissel, Bernard, Zaffaroni, Daniela, Scuvera, Giulietta, Barile, Monica, Ficarazzi, Filomena, Mariette, Frederique, Fortuzzi, Stefano, Viel, Alessandra, Giannini, Giuseppe, Papi, Laura, Martayan, Aline, Tibiletti, Maria Grazia, Radice, Paolo, Vratimos, Athanassios, Fostira, Florentia, Garber, Judy E, Donaldson, Alan, Brewer, Carole, Foo, Claire, Evans, D Gareth R, Frost, Debra, Eccles, Diana, Brady, Angela, Cook, Jackie, Tischkowitz, Marc, Adlard, Julian, Barwell, Julian, Walker, Lisa, Izatt, Louise, Side, Lucy E, Kennedy, M John, Rogers, Mark T, Porteous, Mary E, Morrison, Patrick J, Platte, Radka, Davidson, Rosemarie, Hodgson, Shirley V, Ellis, Steve, Cole, Trevor, behalf of EMBRACE, on, Godwin, Andrew K, Claes, Kathleen, Van Maerken, Tom, Meindl, Alfons, Gehrig, Andrea, and Sutter, Christian

Subjects
Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Cancer, Women's Health, Rare Diseases, Human Genome, Breast Cancer, Genetic Testing, Prevention, Genetics, Ovarian Cancer, 2.1 Biological and endogenous factors, Aetiology, Adult, Breast Neoplasms, Cohort Studies, Female, Genes, BRCA1, Genes, BRCA2, Humans, Mutation, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Retrospective Studies, Young Adult, EMBRACE, GEMO Study Collaborators, HEBON, KConFab Investigators, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundBRCA1 and BRCA2 mutation carriers are at substantially increased risk for developing breast and ovarian cancer. The incomplete penetrance coupled with the variable age at diagnosis in carriers of the same mutation suggests the existence of genetic and nongenetic modifying factors. In this study, we evaluated the putative role of variants in many candidate modifier genes.MethodsGenotyping data from 15,252 BRCA1 and 8,211 BRCA2 mutation carriers, for known variants (n = 3,248) located within or around 445 candidate genes, were available through the iCOGS custom-designed array. Breast and ovarian cancer association analysis was performed within a retrospective cohort approach.ResultsThe observed P values of association ranged between 0.005 and 1.000. None of the variants was significantly associated with breast or ovarian cancer risk in either BRCA1 or BRCA2 mutation carriers, after multiple testing adjustments.ConclusionThere is little evidence that any of the evaluated candidate variants act as modifiers of breast and/or ovarian cancer risk in BRCA1 or BRCA2 mutation carriers.ImpactGenome-wide association studies have been more successful at identifying genetic modifiers of BRCA1/2 penetrance than candidate gene studies.

Published
2015

13. Refined histopathological predictors of BRCA1 and BRCA2 mutation status: a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia.

Author

Spurdle, Amanda B, Couch, Fergus J, Parsons, Michael T, McGuffog, Lesley, Barrowdale, Daniel, Bolla, Manjeet K, Wang, Qin, Healey, Sue, Schmutzler, Rita, Wappenschmidt, Barbara, Rhiem, Kerstin, Hahnen, Eric, Engel, Christoph, Meindl, Alfons, Ditsch, Nina, Arnold, Norbert, Plendl, Hansjoerg, Niederacher, Dieter, Sutter, Christian, Wang-Gohrke, Shan, Steinemann, Doris, Preisler-Adams, Sabine, Kast, Karin, Varon-Mateeva, Raymonda, Ellis, Steve, Frost, Debra, Platte, Radka, Perkins, Jo, Evans, D Gareth, Izatt, Louise, Eeles, Ros, Adlard, Julian, Davidson, Rosemarie, Cole, Trevor, Scuvera, Giulietta, Manoukian, Siranoush, Bonanni, Bernardo, Mariette, Frederique, Fortuzzi, Stefano, Viel, Alessandra, Pasini, Barbara, Papi, Laura, Varesco, Liliana, Balleine, Rosemary, Nathanson, Katherine L, Domchek, Susan M, Offitt, Kenneth, Jakubowska, Anna, Lindor, Noralane, Thomassen, Mads, Jensen, Uffe Birk, Rantala, Johanna, Borg, Åke, Andrulis, Irene L, Miron, Alexander, Hansen, Thomas VO, Caldes, Trinidad, Neuhausen, Susan L, Toland, Amanda E, Nevanlinna, Heli, Montagna, Marco, Garber, Judy, Godwin, Andrew K, Osorio, Ana, Factor, Rachel E, Terry, Mary B, Rebbeck, Timothy R, Karlan, Beth Y, Southey, Melissa, Rashid, Muhammad Usman, Tung, Nadine, Pharoah, Paul DP, Blows, Fiona M, Dunning, Alison M, Provenzano, Elena, Hall, Per, Czene, Kamila, Schmidt, Marjanka K, Broeks, Annegien, Cornelissen, Sten, Verhoef, Senno, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Slamon, Dennis J, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Chang-Claude, Jenny, Flesch-Janys, Dieter, Rudolph, Anja, Seibold, Petra, Aittomäki, Kristiina, Muranen, Taru A, Heikkilä, Päivi, Blomqvist, Carl, Figueroa, Jonine, Chanock, Stephen J, and Brinton, Louise

Subjects
ABCTB Investigators, EMBRACE Group, GENICA Network, HEBON Group, kConFab Investigators, Humans, Carcinoma, Breast Neoplasms, Receptor, erbB-2, Receptors, Estrogen, Receptors, Progesterone, Neoplasm Staging, Likelihood Functions, Age Factors, Mutation, Genes, BRCA1, Genes, BRCA2, Adult, Aged, Middle Aged, Female, Neoplasm Grading, Triple Negative Breast Neoplasms, Receptor, ErbB-2, Receptor, erbB-2, Receptors, Estrogen, Progesterone, Genes, BRCA1, BRCA2, ErbB-2, Prevention, Breast Cancer, Cancer, Genetics, 4.2 Evaluation of markers and technologies, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

IntroductionThe distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline mutation carriers differs from that of individuals with no known mutation. Histopathological features thus have utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical modeling.MethodsSelection criteria for study/center inclusion were estrogen receptor (ER) status or grade data available for invasive breast cancer diagnosed younger than 70 years. The dataset included 4,477 BRCA1 mutation carriers, 2,565 BRCA2 mutation carriers, and 47,565 BCAC breast cancer cases. Country-stratified estimates of the likelihood of mutation status by histopathological markers were derived using a Mantel-Haenszel approach.ResultsER-positive phenotype negatively predicted BRCA1 mutation status, irrespective of grade (LRs from 0.08 to 0.90). ER-negative grade 3 histopathology was more predictive of positive BRCA1 mutation status in women 50 years or older (LR = 4.13 (3.70 to 4.62)) versus younger than 50 years (LR = 3.16 (2.96 to 3.37)). For BRCA2, ER-positive grade 3 phenotype modestly predicted positive mutation status irrespective of age (LR = 1.7-fold), whereas ER-negative grade 3 features modestly predicted positive mutation status at 50 years or older (LR = 1.54 (1.27 to 1.88)). Triple-negative tumor status was highly predictive of BRCA1 mutation status for women younger than 50 years (LR = 3.73 (3.43 to 4.05)) and 50 years or older (LR = 4.41 (3.86 to 5.04)), and modestly predictive of positive BRCA2 mutation status in women 50 years or older (LR = 1.79 (1.42 to 2.24)).ConclusionsThese results refine likelihood-ratio estimates for predicting BRCA1 and BRCA2 mutation status by using commonly measured histopathological features. Age at diagnosis is an important variable for most analyses, and grade is more informative than ER status for BRCA2 mutation carrier prediction. The estimates will improve BRCA1 and BRCA2 variant classification and inform patient mutation testing and clinical management.

Published
2014

14. Refined histopathological predictors of BRCA1 and BRCA2mutation status: a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia

Author

Spurdle, Amanda B, Couch, Fergus J, Parsons, Michael T, McGuffog, Lesley, Barrowdale, Daniel, Bolla, Manjeet K, Wang, Qin, Healey, Sue, Schmutzler, Rita Katharina, Wappenschmidt, Barbara, Rhiem, Kerstin, Hahnen, Eric, Engel, Christoph, Meindl, Alfons, Ditsch, Nina, Arnold, Norbert, Plendl, Hansjoerg, Niederacher, Dieter, Sutter, Christian, Wang-Gohrke, Shan, Steinemann, Doris, Preisler-Adams, Sabine, Kast, Karin, Varon-Mateeva, Raymonda, Ellis, Steve, Frost, Debra, Platte, Radka, Perkins, Jo, Evans, D Gareth, Izatt, Louise, Eeles, Ros, Adlard, Julian, Davidson, Rosemarie, Cole, Trevor, Scuvera, Giulietta, Manoukian, Siranoush, Bonanni, Bernardo, Mariette, Frederique, Fortuzzi, Stefano, Viel, Alessandra, Pasini, Barbara, Papi, Laura, Varesco, Liliana, Balleine, Rosemary, Nathanson, Katherine L, Domchek, Susan M, Offitt, Kenneth, Jakubowska, Anna, Lindor, Noralane, Thomassen, Mads, Jensen, Uffe Birk, Rantala, Johanna, Borg, Åke, Andrulis, Irene L, Miron, Alexander, Hansen, Thomas VO, Caldes, Trinidad, Neuhausen, Susan L, Toland, Amanda E, Nevanlinna, Heli, Montagna, Marco, Garber, Judy, Godwin, Andrew K, Osorio, Ana, Factor, Rachel E, Terry, Mary B, Rebbeck, Timothy R, Karlan, Beth Y, Southey, Melissa, Rashid, Muhammad Usman, Tung, Nadine, Pharoah, Paul DP, Blows, Fiona M, Dunning, Alison M, Provenzano, Elena, Hall, Per, Czene, Kamila, Schmidt, Marjanka K, Broeks, Annegien, Cornelissen, Sten, Verhoef, Senno, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Slamon, Dennis J, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Chang-Claude, Jenny, Flesch-Janys, Dieter, Rudolph, Anja, Seibold, Petra, Aittomäki, Kristiina, Muranen, Taru A, Heikkilä, Päivi, Blomqvist, Carl, Figueroa, Jonine, Chanock, Stephen J, and Brinton, Louise

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Breast Cancer, Cancer, Prevention, Genetics, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Adult, Age Factors, Aged, Breast Neoplasms, Carcinoma, Female, Genes, BRCA1, Genes, BRCA2, Humans, Likelihood Functions, Middle Aged, Mutation, Neoplasm Grading, Neoplasm Staging, Receptor, ErbB-2, Receptors, Estrogen, Receptors, Progesterone, Triple Negative Breast Neoplasms, ABCTB Investigators, EMBRACE Group, GENICA Network, HEBON Group, kConFab Investigators, Receptor, erbB-2, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

The distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline mutation carriers differs from that of individuals with no known mutation. Histopathological features thus have utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical modeling. Selection criteria for study/center inclusion were estrogen receptor (ER) status or grade data available for invasive breast cancer diagnosed younger than 70 years. The dataset included 4,477 BRCA1 mutation carriers, 2,565 BRCA2 mutation carriers, and 47,565 BCAC breast cancer cases. Country-stratified estimates of the likelihood of mutation status by histopathological markers were derived using a Mantel-Haenszel approach. ER-positive phenotype negatively predicted BRCA1 mutation status, irrespective of grade (LRs from 0.08 to 0.90). ER-negative grade 3 histopathology was more predictive of positive BRCA1 mutation status in women 50 years or older (LR = 4.13 (3.70 to 4.62)) versus younger than 50 years (LR = 3.16 (2.96 to 3.37)). For BRCA2, ER-positive grade 3 phenotype modestly predicted positive mutation status irrespective of age (LR = 1.7-fold), whereas ER-negative grade 3 features modestly predicted positive mutation status at 50 years or older (LR = 1.54 (1.27 to 1.88)). Triple-negative tumor status was highly predictive of BRCA1 mutation status for women younger than 50 years (LR = 3.73 (3.43 to 4.05)) and 50 years or older (LR = 4.41 (3.86 to 5.04)), and modestly predictive of positive BRCA2 mutation status in women 50 years or older (LR = 1.79 (1.42 to 2.24)). These results refine likelihood-ratio estimates for predicting BRCA1 and BRCA2 mutation status by using commonly measured histopathological features. Age at diagnosis is an important variable for most analyses, and grade is more informative than ER status for BRCA2 mutation carrier prediction. The estimates will improve BRCA1 and BRCA2 variant classification and inform patient mutation testing and clinical management.

Published
2014

15. The genetic prehistory of the New World Arctic

Author

Raghavan, Maanasa, DeGiorgio, Michael, Albrechtsen, Anders, Moltke, Ida, Skoglund, Pontus, Korneliussen, Thorfinn S, Grønnow, Bjarne, Appelt, Martin, Gulløv, Hans Christian, Friesen, T Max, Fitzhugh, William, Malmström, Helena, Rasmussen, Simon, Olsen, Jesper, Melchior, Linea, Fuller, Benjamin T, Fahrni, Simon M, Stafford, Thomas, Grimes, Vaughan, Renouf, MA Priscilla, Cybulski, Jerome, Lynnerup, Niels, Lahr, Marta Mirazon, Britton, Kate, Knecht, Rick, Arneborg, Jette, Metspalu, Mait, Cornejo, Omar E, Malaspinas, Anna-Sapfo, Wang, Yong, Rasmussen, Morten, Raghavan, Vibha, Hansen, Thomas VO, Khusnutdinova, Elza, Pierre, Tracey, Dneprovsky, Kirill, Andreasen, Claus, Lange, Hans, Hayes, M Geoffrey, Coltrain, Joan, Spitsyn, Victor A, Götherström, Anders, Orlando, Ludovic, Kivisild, Toomas, Villems, Richard, Crawford, Michael H, Nielsen, Finn C, Dissing, Jørgen, Heinemeier, Jan, Meldgaard, Morten, Bustamante, Carlos, O'Rourke, Dennis H, Jakobsson, Mattias, Gilbert, M Thomas P, Nielsen, Rasmus, and Willerslev, Eske

Subjects
Genetics, Alaska, Arctic Regions, Base Sequence, Bone and Bones, Canada, DNA, Mitochondrial, Genome, Human, Greenland, Hair, History, Ancient, Human Migration, Humans, Inuit, Molecular Sequence Data, Siberia, Survivors, Tooth, General Science & Technology
Abstract

The New World Arctic, the last region of the Americas to be populated by humans, has a relatively well-researched archaeology, but an understanding of its genetic history is lacking. We present genome-wide sequence data from ancient and present-day humans from Greenland, Arctic Canada, Alaska, Aleutian Islands, and Siberia. We show that Paleo-Eskimos (~3000 BCE to 1300 CE) represent a migration pulse into the Americas independent of both Native American and Inuit expansions. Furthermore, the genetic continuity characterizing the Paleo-Eskimo period was interrupted by the arrival of a new population, representing the ancestors of present-day Inuit, with evidence of past gene flow between these lineages. Despite periodic abandonment of major Arctic regions, a single Paleo-Eskimo metapopulation likely survived in near-isolation for more than 4000 years, only to vanish around 700 years ago.

Published
2014

16. DNA glycosylases involved in base excision repair may be associated with cancer risk in BRCA1 and BRCA2 mutation carriers.

Author

Osorio, Ana, Milne, Roger L, Kuchenbaecker, Karoline, Vaclová, Tereza, Pita, Guillermo, Alonso, Rosario, Peterlongo, Paolo, Blanco, Ignacio, de la Hoya, Miguel, Duran, Mercedes, Díez, Orland, Ramón Y Cajal, Teresa, Konstantopoulou, Irene, Martínez-Bouzas, Cristina, Andrés Conejero, Raquel, Soucy, Penny, McGuffog, Lesley, Barrowdale, Daniel, Lee, Andrew, SWE-BRCA, Arver, Brita, Rantala, Johanna, Loman, Niklas, Ehrencrona, Hans, Olopade, Olufunmilayo I, Beattie, Mary S, Domchek, Susan M, Nathanson, Katherine, Rebbeck, Timothy R, Arun, Banu K, Karlan, Beth Y, Walsh, Christine, Lester, Jenny, John, Esther M, Whittemore, Alice S, Daly, Mary B, Southey, Melissa, Hopper, John, Terry, Mary B, Buys, Saundra S, Janavicius, Ramunas, Dorfling, Cecilia M, van Rensburg, Elizabeth J, Steele, Linda, Neuhausen, Susan L, Ding, Yuan Chun, Hansen, Thomas VO, Jønson, Lars, Ejlertsen, Bent, Gerdes, Anne-Marie, Infante, Mar, Herráez, Belén, Moreno, Leticia Thais, Weitzel, Jeffrey N, Herzog, Josef, Weeman, Kisa, Manoukian, Siranoush, Peissel, Bernard, Zaffaroni, Daniela, Scuvera, Giulietta, Bonanni, Bernardo, Mariette, Frederique, Volorio, Sara, Viel, Alessandra, Varesco, Liliana, Papi, Laura, Ottini, Laura, Tibiletti, Maria Grazia, Radice, Paolo, Yannoukakos, Drakoulis, Garber, Judy, Ellis, Steve, Frost, Debra, Platte, Radka, Fineberg, Elena, Evans, Gareth, Lalloo, Fiona, Izatt, Louise, Eeles, Ros, Adlard, Julian, Davidson, Rosemarie, Cole, Trevor, Eccles, Diana, Cook, Jackie, Hodgson, Shirley, Brewer, Carole, Tischkowitz, Marc, Douglas, Fiona, Porteous, Mary, Side, Lucy, Walker, Lisa, Morrison, Patrick, Donaldson, Alan, Kennedy, John, Foo, Claire, Godwin, Andrew K, Schmutzler, Rita Katharina, Wappenschmidt, Barbara, Rhiem, Kerstin, and Engel, Christoph

Subjects
SWE-BRCA, HEBON, KConFab Investigators, Humans, Breast Neoplasms, Ovarian Neoplasms, Genetic Predisposition to Disease, DNA Glycosylases, BRCA1 Protein, BRCA2 Protein, Risk, DNA Repair, Genotype, Polymorphism, Single Nucleotide, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Female, Polymorphism, Single Nucleotide, and over, Developmental Biology, Genetics
Abstract

Single Nucleotide Polymorphisms (SNPs) in genes involved in the DNA Base Excision Repair (BER) pathway could be associated with cancer risk in carriers of mutations in the high-penetrance susceptibility genes BRCA1 and BRCA2, given the relation of synthetic lethality that exists between one of the components of the BER pathway, PARP1 (poly ADP ribose polymerase), and both BRCA1 and BRCA2. In the present study, we have performed a comprehensive analysis of 18 genes involved in BER using a tagging SNP approach in a large series of BRCA1 and BRCA2 mutation carriers. 144 SNPs were analyzed in a two stage study involving 23,463 carriers from the CIMBA consortium (the Consortium of Investigators of Modifiers of BRCA1 and BRCA2). Eleven SNPs showed evidence of association with breast and/or ovarian cancer at p

Published
2014

17. Genome-wide association study in BRCA1 mutation carriers identifies novel loci associated with breast and ovarian cancer risk.

Author

Couch, Fergus J, Wang, Xianshu, McGuffog, Lesley, Lee, Andrew, Olswold, Curtis, Kuchenbaecker, Karoline B, Soucy, Penny, Fredericksen, Zachary, Barrowdale, Daniel, Dennis, Joe, Gaudet, Mia M, Dicks, Ed, Kosel, Matthew, Healey, Sue, Sinilnikova, Olga M, Lee, Adam, Bacot, François, Vincent, Daniel, Hogervorst, Frans BL, Peock, Susan, Stoppa-Lyonnet, Dominique, Jakubowska, Anna, kConFab Investigators, Radice, Paolo, Schmutzler, Rita Katharina, SWE-BRCA, Domchek, Susan M, Piedmonte, Marion, Singer, Christian F, Friedman, Eitan, Thomassen, Mads, Ontario Cancer Genetics Network, Hansen, Thomas VO, Neuhausen, Susan L, Szabo, Csilla I, Blanco, Ignacio, Greene, Mark H, Karlan, Beth Y, Garber, Judy, Phelan, Catherine M, Weitzel, Jeffrey N, Montagna, Marco, Olah, Edith, Andrulis, Irene L, Godwin, Andrew K, Yannoukakos, Drakoulis, Goldgar, David E, Caldes, Trinidad, Nevanlinna, Heli, Osorio, Ana, Terry, Mary Beth, Daly, Mary B, van Rensburg, Elizabeth J, Hamann, Ute, Ramus, Susan J, Toland, Amanda Ewart, Caligo, Maria A, Olopade, Olufunmilayo I, Tung, Nadine, Claes, Kathleen, Beattie, Mary S, Southey, Melissa C, Imyanitov, Evgeny N, Tischkowitz, Marc, Janavicius, Ramunas, John, Esther M, Kwong, Ava, Diez, Orland, Balmaña, Judith, Barkardottir, Rosa B, Arun, Banu K, Rennert, Gad, Teo, Soo-Hwang, Ganz, Patricia A, Campbell, Ian, van der Hout, Annemarie H, van Deurzen, Carolien HM, Seynaeve, Caroline, Gómez Garcia, Encarna B, van Leeuwen, Flora E, Meijers-Heijboer, Hanne EJ, Gille, Johannes JP, Ausems, Margreet GEM, Blok, Marinus J, Ligtenberg, Marjolijn JL, Rookus, Matti A, Devilee, Peter, Verhoef, Senno, van Os, Theo AM, Wijnen, Juul T, HEBON, EMBRACE, Frost, Debra, Ellis, Steve, Fineberg, Elena, Platte, Radka, Evans, D Gareth, Izatt, Louise, Eeles, Rosalind A, and Adlard, Julian

Subjects
kConFab Investigators, SWE-BRCA, Ontario Cancer Genetics Network, HEBON, EMBRACE, GEMO Study Collaborators, BCFR, CIMBA, Humans, Breast Neoplasms, Ovarian Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, BRCA2 Protein, Prognosis, Risk Factors, Genotype, Heterozygote, Mutation, Polymorphism, Single Nucleotide, Middle Aged, Female, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Developmental Biology, Genetics
Abstract

BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 × 10(-8), HR = 1.14, 95% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4 × 10(-8), HR = 1.27, 95% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4 × 10(-8), HR = 1.20, 95% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2×10(-4)). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%-50% compared to 81%-100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers.

Published
2013

18. Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers

Author

Antoniou, Antonis C, Kuchenbaecker, Karoline B, Soucy, Penny, Beesley, Jonathan, Chen, Xiaoqing, McGuffog, Lesley, Lee, Andrew, Barrowdale, Daniel, Healey, Sue, Sinilnikova, Olga M, Caligo, Maria A, Loman, Niklas, Harbst, Katja, Lindblom, Annika, Arver, Brita, Rosenquist, Richard, Karlsson, Per, Nathanson, Kate, Domchek, Susan, Rebbeck, Tim, Jakubowska, Anna, Lubinski, Jan, Jaworska, Katarzyna, Durda, Katarzyna, Złowowcka-Perłowska, Elżbieta, Osorio, Ana, Durán, Mercedes, Andrés, Raquel, Benítez, Javier, Hamann, Ute, Hogervorst, Frans B, van Os, Theo A, Verhoef, Senno, Meijers-Heijboer, Hanne EJ, Wijnen, Juul, Gómez Garcia, Encarna B, Ligtenberg, Marjolijn J, Kriege, Mieke, Collée, J Margriet, Ausems, Margreet GEM, Oosterwijk, Jan C, Peock, Susan, Frost, Debra, Ellis, Steve D, Platte, Radka, Fineberg, Elena, Evans, D Gareth, Lalloo, Fiona, Jacobs, Chris, Eeles, Ros, Adlard, Julian, Davidson, Rosemarie, Cole, Trevor, Cook, Jackie, Paterson, Joan, Douglas, Fiona, Brewer, Carole, Hodgson, Shirley, Morrison, Patrick J, Walker, Lisa, Rogers, Mark T, Donaldson, Alan, Dorkins, Huw, Godwin, Andrew K, Bove, Betsy, Stoppa-Lyonnet, Dominique, Houdayer, Claude, Buecher, Bruno, de Pauw, Antoine, Mazoyer, Sylvie, Calender, Alain, Léoné, Mélanie, Bressac- de Paillerets, Brigitte, Caron, Olivier, Sobol, Hagay, Frenay, Marc, Prieur, Fabienne, Ferrer, Sandra, Mortemousque, Isabelle, Buys, Saundra, Daly, Mary, Miron, Alexander, Terry, Mary, Hopper, John L, John, Esther M, Southey, Melissa, Goldgar, David, Singer, Christian F, Fink-Retter, Anneliese, Tea, Muy-Kheng, Kaulich, Daphne, Hansen, Thomas VO, Nielsen, Finn C, Barkardottir, Rosa B, Gaudet, Mia, Kirchhoff, Tomas, Joseph, Vijai, Dutra-Clarke, Ana, Offit, Kenneth, and Piedmonte, Marion

Abstract

AbstractIntroductionSeveral common alleles have been shown to be associated with breast and/or ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Recent genome-wide association studies of breast cancer have identified eight additional breast cancer susceptibility loci: rs1011970 (9p21, CDKN2A/B), rs10995190 (ZNF365), rs704010 (ZMIZ1), rs2380205 (10p15), rs614367 (11q13), rs1292011 (12q24), rs10771399 (12p11 near PTHLH) and rs865686 (9q31.2). MethodsTo evaluate whether these single nucleotide polymorphisms (SNPs) are associated with breast cancer risk for BRCA1 and BRCA2 carriers, we genotyped these SNPs in 12599 BRCA1 and 7132 BRCA2 mutation carriers and analysed the associations with breast cancer risk within a retrospective likelihood framework. ResultsOnly SNP rs10771399 near PTHLH was associated with breast cancer risk for BRCA1 mutation carriers (per-allele Hazard Ratio (HR)= 0.87, 95%CI:0.81-0.94, P-trend=3x10^-4). The association was restricted to mutations proven or predicted to lead to absence of protein expression (HR=0.82, 95%CI:0.74-0.90, P-trend=3.1x10^-5, P-difference=0.03). Four SNPs were associated with the risk of breast cancer for BRCA2 mutation carriers: rs10995190, P-trend=0.015; rs1011970, P-trend=0.048; rs865686, 2df-P=0.007; rs1292011 2df-P=0.03. rs10771399 (PTHLH) was predominantly associated with estrogen receptor (ER)-negative breast cancer for BRCA1 mutation carriers (HR=0.81, 95%CI: 0.74-0.90, P-trend=4x10^-5) and there was marginal evidence of association with ER-negative breast cancer for BRCA2 mutation carriers (HR=0.78, 95%CI:0.62-1.00, P-trend=0.049). ConclusionsThe present findings, in combination with previously identified modifiers of risk, will ultimately lead to more accurate risk prediction and an improved understanding of the disease etiology in BRCA1 and BRCA2 mutation carriers.

Published
2012

19. Common breast cancer susceptibility alleles are associated with tumor subtypes in BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2.

Author

Mulligan, Anna, Couch, Fergus J, Barrowdale, Daniel, Domchek, Susan M, Eccles, Diana, Nevanlinna, Heli, Ramus, Susan J, Robson, Mark, Sherman, Mark, Spurdle, Amanda B, Wappenschmidt, Barbara, Lee, Andrew, McGuffog, Lesley, Healey, Sue, Sinilnikova, Olga M, Janavicius, Ramunas, Hansen, Thomas vO, Nielsen, Finn C, Ejlertsen, Bent, Osorio, Ana, Muñoz-Repeto, Iván, Durán, Mercedes, Godino, Javier, Pertesi, Maroulio, Benítez, Javier, Peterlongo, Paolo, Manoukian, Siranoush, Peissel, Bernard, Zaffaroni, Daniela, Cattaneo, Elisa, Bonanni, Bernardo, Viel, Alessandra, Pasini, Barbara, Papi, Laura, Ottini, Laura, Savarese, Antonella, Bernard, Loris, Radice, Paolo, Hamann, Ute, Verheus, Martijn, Meijers-Heijboer, Hanne EJ, Wijnen, Juul, Gómez García, Encarna B, Nelen, Marcel R, Kets, C Marleen, Seynaeve, Caroline, Tilanus-Linthorst, Madeleine MA, van der Luijt, Rob B, Os, Theo, Rookus, Matti, Frost, Debra, Jones, J Louise, Evans, D Gareth, Lalloo, Fiona, Eeles, Ros, Izatt, Louise, Adlard, Julian, Davidson, Rosemarie, Cook, Jackie, Donaldson, Alan, Dorkins, Huw, Gregory, Helen, Eason, Jacqueline, Houghton, Catherine, Barwell, Julian, Side, Lucy E, McCann, Emma, Murray, Alex, Peock, Susan, Godwin, Andrew K, Schmutzler, Rita K, Rhiem, Kerstin, Engel, Christoph, Meindl, Alfons, Ruehl, Ina, Arnold, Norbert, Niederacher, Dieter, Sutter, Christian, Deissler, Helmut, Gadzicki, Dorothea, Kast, Karin, Preisler-Adams, Sabine, Varon-Mateeva, Raymonda, Schoenbuchner, Ines, Fiebig, Britta, Heinritz, Wolfram, Schäfer, Dieter, Gevensleben, Heidrun, Caux-Moncoutier, Virginie, Fassy-Colcombet, Marion, Cornelis, François, Mazoyer, Sylvie, Léoné, Mélanie, Boutry-Kryza, Nadia, Hardouin, Agnès, Berthet, Pascaline, Muller, Danièle, Fricker, Jean-Pierre, Mortemousque, Isabelle, and Pujol, Pascal

Abstract

Abstract Introduction Previous studies have demonstrated that common breast cancer susceptibility alleles are differentially associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers. It is currently unknown how these alleles are associated with different breast cancer subtypes in BRCA1 and BRCA2 mutation carriers defined by estrogen (ER) or progesterone receptor (PR) status of the tumour. Methods We used genotype data on up to 11,421 BRCA1 and 7,080 BRCA2 carriers, of whom 4,310 had been affected with breast cancer and had information on either ER or PR status of the tumour, to assess the associations of 12 loci with breast cancer tumour characteristics. Associations were evaluated using a retrospective cohort approach. Results The results suggested stronger associations with ER-positive breast cancer than ER-negative for 11 loci in both BRCA1 and BRCA2 carriers. Among BRCA1 carriers, single nucleotide polymorphism (SNP) rs2981582 (FGFR2) exhibited the biggest difference based on ER status (per-allele hazard ratio (HR) for ER-positive = 1.35, 95% CI: 1.17 to 1.56 vs HR = 0.91, 95% CI: 0.85 to 0.98 for ER-negative, P-heterogeneity = 6.5 × 10-6). In contrast, SNP rs2046210 at 6q25.1 near ESR1 was primarily associated with ER-negative breast cancer risk for both BRCA1 and BRCA2 carriers. In BRCA2 carriers, SNPs in FGFR2, TOX3, LSP1, SLC4A7/NEK10, 5p12, 2q35, and 1p11.2 were significantly associated with ER-positive but not ER-negative disease. Similar results were observed when differentiating breast cancer cases by PR status. Conclusions The associations of the 12 SNPs with risk for BRCA1 and BRCA2 carriers differ by ER-positive or ER-negative breast cancer status. The apparent differences in SNP associations between BRCA1 and BRCA2 carriers, and non-carriers, may be explicable by differences in the prevalence of tumour subtypes. As more risk modifying variants are identified, incorporating these associations into breast cancer subtype-specific risk models may improve clinical management for mutation carriers.

Published
2011

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