Search

Your search keyword '"Hogervorst, Frans BL"' showing total 26 results
Start Over Author "Hogervorst, Frans BL" Publication Type Academic Journals
26 results on '"Hogervorst, Frans BL"'

1. A Likelihood Ratio Approach for Utilizing Case‐Control Data in the Clinical Classification of Rare Sequence Variants: Application to BRCA1 and BRCA2

Author

Zanti, Maria, O′Mahony, Denise G, Parsons, Michael T, Li, Hongyan, Dennis, Joe, Aittomäkkiki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Aronson, Kristan J, Augustinsson, Annelie, Becher, Heiko, Bojesen, Stig E, Bolla, Manjeet K, Brenner, Hermann, Brown, Melissa A, Buys, Saundra S, Canzian, Federico, Caputo, Sandrine M, Castelao, Jose E, Chang-Claude, Jenny, Collaborators, GC-HBOC study, Czene, Kamila, Daly, Mary B, De Nicolo, Arcangela, Devilee, Peter, Dörk, Thilo, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Gentry-Maharaj, Aleksandra, Giele, Willemina RR Geurts-, Giles, Graham G, Glendon, Gord, Goldberg, Mark S, Garcia, Encarna B Gómez, Güendert, Melanie, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Hall, Per, Hamann, Ute, Harkness, Elaine F, Hogervorst, Frans BL, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John L, Houdayer, Claude, Houlston, Richard S, Howell, Anthony, Investigators, ABCTB, Jakimovska, Milena, Jakubowska, Anna, Jernström, Helena, John, Esther M, Kaaks, Rudolf, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Lacey, James V, Lambrechts, Diether, Léoné, Melanie, Lindblom, Annika, Lubiński, Jan, Lush, Michael, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Maria Elena, Menon, Usha, Milne, Roger L, Monteiro, Alvaro N, Murphy, Rachel A, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Offit, Kenneth, Park, Sue K, James, Paul, Peterlongo, Paolo, Peto, Julian, Plaseska-Karanfilska, Dijana, Punie, Kevin, Radice, Paolo, Rashid, Muhammad U, Rennert, Gad, Romero, Atocha, Rosenberg, Efraim H, Saloustros, Emmanouil, Sandler, Dale P, Schmidt, Marjanka K, Schmutzler, Rita K, and Shu, Xiao-Ou

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Biotechnology, Genetic Testing, Prevention, Cancer, Human Genome, Women's Health, Breast Cancer, 2.1 Biological and endogenous factors, Good Health and Well Being, Humans, Case-Control Studies, BRCA2 Protein, Genetic Predisposition to Disease, Female, BRCA1 Protein, Breast Neoplasms, Likelihood Functions, Genetic Variation, Penetrance, GC-HBOC study Collaborators, ABCTB Investigators, ACMG/AMP, BRCA, PS4, VUS, case-control, likelihood ratio, variant classification, Clinical Sciences, Genetics & Heredity, Clinical sciences
Abstract

A large number of variants identified through clinical genetic testing in disease susceptibility genes, are of uncertain significance (VUS). Following the recommendations of the American College of Medical Genetics and Genomics (ACMG) and Association for Molecular Pathology (AMP), the frequency in case-control datasets (PS4 criterion), can inform their interpretation. We present a novel case-control likelihood ratio-based method that incorporates gene-specific age-related penetrance. We demonstrate the utility of this method in the analysis of simulated and real datasets. In the analyses of simulated data, the likelihood ratio method was more powerful compared to other methods. Likelihood ratios were calculated for a case-control dataset of BRCA1 and BRCA2 variants from the Breast Cancer Association Consortium (BCAC), and compared with logistic regression results. A larger number of variants reached evidence in favor of pathogenicity, and a substantial number of variants had evidence against pathogenicity - findings that would not have been reached using other case-control analysis methods. Our novel method provides greater power to classify rare variants compared to classical case-control methods. As an initiative from the ENIGMA Analytical Working Group, we provide user-friendly scripts and pre-formatted excel calculators for implementation of the method for rare variants in BRCA1, BRCA2 and other high-risk genes with known penetrance.

Published
2023

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

Author

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

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

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

Published
2021

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

Author

Coignard, Juliette, Lush, Michael, Beesley, Jonathan, O'Mara, Tracy A, Dennis, Joe, Tyrer, Jonathan P, Barnes, Daniel R, McGuffog, Lesley, Leslie, Goska, Bolla, Manjeet K, Adank, Muriel A, Agata, Simona, Ahearn, Thomas, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Arun, Banu K, Augustinsson, Annelie, Azzollini, Jacopo, Barrowdale, Daniel, Baynes, Caroline, Becher, Heko, Bermisheva, Marina, Bernstein, Leslie, Białkowska, Katarzyna, Blomqvist, Carl, Bojesen, Stig E, Bonanni, Bernardo, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Buys, Saundra S, Caldés, Trinidad, Caligo, Maria A, Campa, Daniele, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, GEMO Study Collaborators, EMBRACE Collaborators, Collée, J Margriet, Conroy, Don M, Czene, Kamila, Daly, Mary B, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Domchek, Susan M, Dörk, Thilo, Dos-Santos-Silva, Isabel, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Fostira, Florentia, Friedman, Eitan, Fritschi, Lin, Frost, Debra, Gago-Dominguez, Manuela, Gapstur, Susan M, Garber, Judy, Garcia-Barberan, Vanesa, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Gayther, Simon A, Gehrig, Andrea, Georgoulias, Vassilios, Giles, Graham G, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Harrington, Patricia A, Hart, Steven N, He, Wei, Hogervorst, Frans BL, Hollestelle, Antoinette, and Hopper, John L

Subjects
GEMO Study Collaborators, EMBRACE Collaborators, KConFab Investigators, HEBON Investigators, ABCTB Investigators, Cancer
Abstract

A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-23162-4.

Published
2021

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

Author

Coignard, Juliette, Lush, Michael, Beesley, Jonathan, O'Mara, Tracy A, Dennis, Joe, Tyrer, Jonathan P, Barnes, Daniel R, McGuffog, Lesley, Leslie, Goska, Bolla, Manjeet K, Adank, Muriel A, Agata, Simona, Ahearn, Thomas, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Arun, Banu K, Augustinsson, Annelie, Azzollini, Jacopo, Barrowdale, Daniel, Baynes, Caroline, Becher, Heiko, Bermisheva, Marina, Bernstein, Leslie, Białkowska, Katarzyna, Blomqvist, Carl, Bojesen, Stig E, Bonanni, Bernardo, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Buys, Saundra S, Caldés, Trinidad, Caligo, Maria A, Campa, Daniele, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, GEMO Study Collaborators, EMBRACE Collaborators, Collée, J Margriet, Conroy, Don M, Czene, Kamila, Daly, Mary B, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Domchek, Susan M, Dörk, Thilo, Dos-Santos-Silva, Isabel, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Fostira, Florentia, Friedman, Eitan, Fritschi, Lin, Frost, Debra, Gago-Dominguez, Manuela, Gapstur, Susan M, Garber, Judy, Garcia-Barberan, Vanesa, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Gayther, Simon A, Gehrig, Andrea, Georgoulias, Vassilios, Giles, Graham G, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Harrington, Patricia A, Hart, Steven N, He, Wei, Hogervorst, Frans BL, Hollestelle, Antoinette, and Hopper, John L

Subjects
GEMO Study Collaborators, EMBRACE Collaborators, KConFab Investigators, HEBON Investigators, ABCTB Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, BRCA2 Protein, Risk Factors, Genotype, Linkage Disequilibrium, Mutation, Polymorphism, Single Nucleotide, Alleles, Quantitative Trait Loci, Adult, Middle Aged, Female, Genome-Wide Association Study, Breast Cancer, Prevention, Cancer, Genetic Testing, Human Genome, Genetics, 2.1 Biological and endogenous factors
Abstract

Breast cancer (BC) risk for BRCA1 and BRCA2 mutation carriers varies by genetic and familial factors. About 50 common variants have been shown to modify BC risk for mutation carriers. All but three, were identified in general population studies. Other mutation carrier-specific susceptibility variants may exist but studies of mutation carriers have so far been underpowered. We conduct a novel case-only genome-wide association study comparing genotype frequencies between 60,212 general population BC cases and 13,007 cases with BRCA1 or BRCA2 mutations. We identify robust novel associations for 2 variants with BC for BRCA1 and 3 for BRCA2 mutation carriers, P

Published
2021

5. Breast Cancer Risk Genes — Association Analysis in More than 113,000 Women

Author

Dorling, Leila, Carvalho, Sara, Allen, Jamie, González-Neira, Anna, Luccarini, Craig, Wahlström, Cecilia, Pooley, Karen A, Parsons, Michael T, Fortuno, Cristina, Wang, Qin, Bolla, Manjeet K, Dennis, Joe, Keeman, Renske, Alonso, M Rosario, Álvarez, Nuria, Herraez, Belen, Fernandez, Victoria, Núñez-Torres, Rocio, Osorio, Ana, Valcich, Jeanette, Li, Minerva, Törngren, Therese, Harrington, Patricia A, Baynes, Caroline, Conroy, Don M, Decker, Brennan, Fachal, Laura, Mavaddat, Nasim, Ahearn, Thomas, Aittomäki, Kristiina, Antonenkova, Natalia N, Arnold, Norbert, Arveux, Patrick, Ausems, Margreet GEM, Auvinen, Päivi, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bermisheva, Marina, Białkowska, Katarzyna, Blomqvist, Carl, Bogdanova, Natalia V, Bogdanova-Markov, Nadja, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Bremer, Michael, Briceno, Ignacio, Brüning, Thomas, Burwinkel, Barbara, Cameron, David A, Camp, Nicola J, Campbell, Archie, Carracedo, Angel, Castelao, Jose E, Cessna, Melissa H, Chanock, Stephen J, Christiansen, Hans, Collée, J Margriet, Cordina-Duverger, Emilie, Cornelissen, Sten, Czene, Kamila, Dörk, Thilo, Ekici, Arif B, Engel, Christoph, Eriksson, Mikael, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Försti, Asta, Gabrielson, Marike, Gago-Dominguez, Manuela, Georgoulias, Vassilios, Gil, Fabian, Giles, Graham G, Glendon, Gord, Garcia, Encarna B Gómez, Alnæs, Grethe I Grenaker, Guénel, Pascal, Hadjisavvas, Andreas, Haeberle, Lothar, Hahnen, Eric, Hall, Per, Hamann, Ute, Harkness, Elaine F, Hartikainen, Jaana M, Hartman, Mikael, He, Wei, Heemskerk-Gerritsen, Bernadette AM, Hillemanns, Peter, Hogervorst, Frans BL, Hollestelle, Antoinette, Ho, Weang Kee, Hooning, Maartje J, Howell, Anthony, Humphreys, Keith, Idris, Faiza, Jakubowska, Anna, and Jung, Audrey

Subjects
Breast Cancer, Cancer, Genetics, Aetiology, 2.1 Biological and endogenous factors, Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Breast Neoplasms, Female, Genetic Predisposition to Disease, Genetic Variation, Humans, Logistic Models, Middle Aged, Mutation, Missense, Odds Ratio, Risk, Sequence Analysis, DNA, Young Adult, Breast Cancer Association Consortium, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundGenetic testing for breast cancer susceptibility is widely used, but for many genes, evidence of an association with breast cancer is weak, underlying risk estimates are imprecise, and reliable subtype-specific risk estimates are lacking.MethodsWe used a panel of 34 putative susceptibility genes to perform sequencing on samples from 60,466 women with breast cancer and 53,461 controls. In separate analyses for protein-truncating variants and rare missense variants in these genes, we estimated odds ratios for breast cancer overall and tumor subtypes. We evaluated missense-variant associations according to domain and classification of pathogenicity.ResultsProtein-truncating variants in 5 genes (ATM, BRCA1, BRCA2, CHEK2, and PALB2) were associated with a risk of breast cancer overall with a P value of less than 0.0001. Protein-truncating variants in 4 other genes (BARD1, RAD51C, RAD51D, and TP53) were associated with a risk of breast cancer overall with a P value of less than 0.05 and a Bayesian false-discovery probability of less than 0.05. For protein-truncating variants in 19 of the remaining 25 genes, the upper limit of the 95% confidence interval of the odds ratio for breast cancer overall was less than 2.0. For protein-truncating variants in ATM and CHEK2, odds ratios were higher for estrogen receptor (ER)-positive disease than for ER-negative disease; for protein-truncating variants in BARD1, BRCA1, BRCA2, PALB2, RAD51C, and RAD51D, odds ratios were higher for ER-negative disease than for ER-positive disease. Rare missense variants (in aggregate) in ATM, CHEK2, and TP53 were associated with a risk of breast cancer overall with a P value of less than 0.001. For BRCA1, BRCA2, and TP53, missense variants (in aggregate) that would be classified as pathogenic according to standard criteria were associated with a risk of breast cancer overall, with the risk being similar to that of protein-truncating variants.ConclusionsThe results of this study define the genes that are most clinically useful for inclusion on panels for the prediction of breast cancer risk, as well as provide estimates of the risks associated with protein-truncating variants, to guide genetic counseling. (Funded by European Union Horizon 2020 programs and others.).

Published
2021

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

Author

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

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

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

Published
2020

7. Two truncating variants in FANCC and breast cancer risk.

Author

Dörk, Thilo, Peterlongo, Paolo, Mannermaa, Arto, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Freeman, Laura E Beane, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Behrens, Sabine, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Canzian, Federico, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Choi, Ji-Yeob, Christiansen, Hans, Clarke, Christine L, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Dos-Santos-Silva, Isabel, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gao, Chi, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, Goldgar, David E, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hartman, Mikael, Hauke, Jan, Hein, Alexander, Hillemanns, Peter, Hogervorst, Frans BL, Hooning, Maartje J, Hopper, John L, Howell, Tony, Huo, Dezheng, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Kapoor, Pooja Middha, Khusnutdinova, Elza, Kim, Sung-Won, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kwong, Ava, Lambrechts, Diether, Marchand, Loic Le, Li, Jingmei, Lindström, Sara, Linet, Martha, Lo, Wing-Yee, Long, Jirong, Lophatananon, Artitaya, Lubiński, Jan, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Elena, Matsuo, Keitaro, Mavroudis, Dimitris, and Meindl, Alfons

Subjects
ABCTB Investigators, NBCS Collaborators, Humans, Breast Neoplasms, Fanconi Anemia, Genetic Predisposition to Disease, BRCA1 Protein, BRCA2 Protein, Case-Control Studies, Sequence Deletion, Female, Fanconi Anemia Complementation Group C Protein, Genetic Variation, Clinical Research, Breast Cancer, Genetics, Cancer, 2.1 Biological and endogenous factors, Biochemistry and Cell Biology, Other Physical Sciences
Abstract

Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44-1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.

Published
2019

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

Author

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

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

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

Published
2019

9. 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

10. 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

11. 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

12. Inherited variants in the inner centromere protein (INCENP) gene of the chromosomal passenger complex contribute to the susceptibility of ER-negative breast cancer

Author

Kabisch, Maria, Bermejo, Justo Lorenzo, Dünnebier, Thomas, Ying, Shibo, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Shah, Mitul, Perkins, Barbara J, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Lambrechts, Diether, Neven, Patrick, Peeters, Stephanie, Weltens, Caroline, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Purrington, Kristen, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Peto, Julian, dos-Santos-Silva, Isabel, Johnson, Nichola, Fletcher, Olivia, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Schmidt, Marjanka K, Broeks, Annegien, Cornelissen, Sten, Hogervorst, Frans BL, Li, Jingmei, Brand, Judith S, Humphreys, Keith, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Sanchez, Marie, Burwinkel, Barbara, Marmé, Frederik, Yang, Rongxi, Bugert, Peter, González-Neira, Anna, Benitez, Javier, Zamora, M Pilar, Perez, Jose I Arias, Cox, Angela, Cross, Simon S, Reed, Malcolm WR, Andrulis, Irene L, Knight, Julia A, Glendon, Gord, Tchatchou, Sandrine, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Haiman, Christopher A, Schumacher, Fredrick, Henderson, Brian E, Le Marchand, Loic, Lindblom, Annika, Margolin, Sara, Hooning, Maartje J, Hollestelle, Antoinette, Kriege, Mieke, Koppert, Linetta B, Hopper, John L, Southey, Melissa C, Tsimiklis, Helen, Apicella, Carmel, Slettedahl, Seth, Toland, Amanda E, Vachon, Celine, Yannoukakos, Drakoulis, Giles, Graham G, Milne, Roger L, McLean, Catriona, Fasching, Peter A, Ruebner, Matthias, Ekici, Arif B, Beckmann, Matthias W, Brenner, Hermann, Dieffenbach, Aida K, Arndt, Volker, Stegmaier, Christa, Ashworth, Alan, Orr, Nicholas, Schoemaker, Minouk J, and Swerdlow, Anthony

Subjects
Cancer, Human Genome, Prevention, Breast Cancer, Genetics, Aetiology, 2.1 Biological and endogenous factors, 3' Untranslated Regions, Aurora Kinase B, Breast Neoplasms, Case-Control Studies, Cell Cycle Proteins, Chromosomal Proteins, Non-Histone, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Inhibitor of Apoptosis Proteins, Polymorphism, Single Nucleotide, Receptors, Estrogen, Risk, Survivin, White People, kConFab Investigators, Australian Ovarian Cancer Study Group, GENICA Network, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

The chromosomal passenger complex (CPC) plays a pivotal role in the regulation of cell division. Therefore, inherited CPC variability could influence tumor development. The present candidate gene approach investigates the relationship between single nucleotide polymorphisms (SNPs) in genes encoding key CPC components and breast cancer risk. Fifteen SNPs in four CPC genes (INCENP, AURKB, BIRC5 and CDCA8) were genotyped in 88 911 European women from 39 case-control studies of the Breast Cancer Association Consortium. Possible associations were investigated in fixed-effects meta-analyses. The synonymous SNP rs1675126 in exon 7 of INCENP was associated with overall breast cancer risk [per A allele odds ratio (OR) 0.95, 95% confidence interval (CI) 0.92-0.98, P = 0.007] and particularly with estrogen receptor (ER)-negative breast tumors (per A allele OR 0.89, 95% CI 0.83-0.95, P = 0.0005). SNPs not directly genotyped were imputed based on 1000 Genomes. The SNPs rs1047739 in the 3' untranslated region and rs144045115 downstream of INCENP showed the strongest association signals for overall (per T allele OR 1.03, 95% CI 1.00-1.06, P = 0.0009) and ER-negative breast cancer risk (per A allele OR 1.06, 95% CI 1.02-1.10, P = 0.0002). Two genotyped SNPs in BIRC5 were associated with familial breast cancer risk (top SNP rs2071214: per G allele OR 1.12, 95% CI 1.04-1.21, P = 0.002). The data suggest that INCENP in the CPC pathway contributes to ER-negative breast cancer susceptibility in the European population. In spite of a modest contribution of CPC-inherited variants to the total burden of sporadic and familial breast cancer, their potential as novel targets for breast cancer treatment should be further investigated.

Published
2015

13. 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

14. Assessing Associations between the AURKA-HMMR-TPX2-TUBG1 Functional Module and Breast Cancer Risk in BRCA1/2 Mutation Carriers

Author

Blanco, Ignacio, Kuchenbaecker, Karoline, Cuadras, Daniel, Wang, Xianshu, Barrowdale, Daniel, de Garibay, Gorka Ruiz, Librado, Pablo, Sánchez-Gracia, Alejandro, Rozas, Julio, Bonifaci, Núria, McGuffog, Lesley, Pankratz, Vernon S, Islam, Abul, Mateo, Francesca, Berenguer, Antoni, Petit, Anna, Català, Isabel, Brunet, Joan, Feliubadaló, Lidia, Tornero, Eva, Benítez, Javier, Osorio, Ana, Cajal, Teresa Ramón Y, Nevanlinna, Heli, Aittomäki, Kristiina, Arun, Banu K, Toland, Amanda E, Karlan, Beth Y, Walsh, Christine, Lester, Jenny, Greene, Mark H, Mai, Phuong L, Nussbaum, Robert L, Andrulis, Irene L, Domchek, Susan M, Nathanson, Katherine L, Rebbeck, Timothy R, Barkardottir, Rosa B, Jakubowska, Anna, Lubinski, Jan, Durda, Katarzyna, Jaworska-Bieniek, Katarzyna, Claes, Kathleen, Van Maerken, Tom, Díez, Orland, Hansen, Thomas V, Jønson, Lars, Gerdes, Anne-Marie, Ejlertsen, Bent, de la Hoya, Miguel, Caldés, Trinidad, Dunning, Alison M, Oliver, Clare, Fineberg, Elena, Cook, Margaret, Peock, Susan, McCann, Emma, Murray, Alex, Jacobs, Chris, Pichert, Gabriella, Lalloo, Fiona, Chu, Carol, Dorkins, Huw, Paterson, Joan, Ong, Kai-Ren, Teixeira, Manuel R, Hogervorst, Frans BL, van der Hout, Annemarie H, Seynaeve, Caroline, van der Luijt, Rob B, Ligtenberg, Marjolijn JL, Devilee, Peter, Wijnen, Juul T, Rookus, Matti A, Meijers-Heijboer, Hanne EJ, Blok, Marinus J, van den Ouweland, Ans MW, Aalfs, Cora M, Rodriguez, Gustavo C, Phillips, Kelly-Anne A, Piedmonte, Marion, Nerenstone, Stacy R, Bae-Jump, Victoria L, O'Malley, David M, Ratner, Elena S, Schmutzler, Rita K, Wappenschmidt, Barbara, Rhiem, Kerstin, Engel, Christoph, Meindl, Alfons, Ditsch, Nina, Arnold, Norbert, Plendl, Hansjoerg J, Niederacher, Dieter, Sutter, Christian, Wang-Gohrke, Shan, Steinemann, Doris, Preisler-Adams, Sabine, Kast, Karin, and Varon-Mateeva, Raymonda

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Health Services and Systems, Health Sciences, Oncology and Carcinogenesis, Cancer, Breast Cancer, Prevention, 2.1 Biological and endogenous factors, Aetiology, Aurora Kinase A, Breast Neoplasms, Carcinogenesis, Cell Cycle Proteins, Estrogen Receptor alpha, Evolution, Molecular, Extracellular Matrix Proteins, Female, Genes, BRCA1, Genes, BRCA2, Genetic Loci, Genetic Predisposition to Disease, Humans, Hyaluronan Receptors, Likelihood Functions, Mammary Glands, Human, Microtubule-Associated Proteins, Mutation, Nuclear Proteins, Polymorphism, Single Nucleotide, Retrospective Studies, Tubulin, Teixeira, BCFR, SWE-BRCA, kConFab Investigators, GEMO, General Science & Technology
Abstract

While interplay between BRCA1 and AURKA-RHAMM-TPX2-TUBG1 regulates mammary epithelial polarization, common genetic variation in HMMR (gene product RHAMM) may be associated with risk of breast cancer in BRCA1 mutation carriers. Following on these observations, we further assessed the link between the AURKA-HMMR-TPX2-TUBG1 functional module and risk of breast cancer in BRCA1 or BRCA2 mutation carriers. Forty-one single nucleotide polymorphisms (SNPs) were genotyped in 15,252 BRCA1 and 8,211 BRCA2 mutation carriers and subsequently analyzed using a retrospective likelihood approach. The association of HMMR rs299290 with breast cancer risk in BRCA1 mutation carriers was confirmed: per-allele hazard ratio (HR) = 1.10, 95% confidence interval (CI) 1.04-1.15, p = 1.9 x 10(-4) (false discovery rate (FDR)-adjusted p = 0.043). Variation in CSTF1, located next to AURKA, was also found to be associated with breast cancer risk in BRCA2 mutation carriers: rs2426618 per-allele HR = 1.10, 95% CI 1.03-1.16, p = 0.005 (FDR-adjusted p = 0.045). Assessment of pairwise interactions provided suggestions (FDR-adjusted pinteraction values > 0.05) for deviations from the multiplicative model for rs299290 and CSTF1 rs6064391, and rs299290 and TUBG1 rs11649877 in both BRCA1 and BRCA2 mutation carriers. Following these suggestions, the expression of HMMR and AURKA or TUBG1 in sporadic breast tumors was found to potentially interact, influencing patients' survival. Together, the results of this study support the hypothesis of a causative link between altered function of AURKA-HMMR-TPX2-TUBG1 and breast carcinogenesis in BRCA1/2 mutation carriers.

Published
2015

15. 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

16. Genome-wide association analysis identifies three new breast cancer susceptibility loci

Author

Ghoussaini, Maya, Fletcher, Olivia, Michailidou, Kyriaki, Turnbull, Clare, Schmidt, Marjanka K, Dicks, Ed, Dennis, Joe, Wang, Qin, Humphreys, Manjeet K, Luccarini, Craig, Baynes, Caroline, Conroy, Don, Maranian, Melanie, Ahmed, Shahana, Driver, Kristy, Johnson, Nichola, Orr, Nicholas, dos Santos Silva, Isabel, Waisfisz, Quinten, Meijers-Heijboer, Hanne, Uitterlinden, Andre G, Rivadeneira, Fernando, Hall, Per, Czene, Kamila, Irwanto, Astrid, Liu, Jianjun, Nevanlinna, Heli, Aittomäki, Kristiina, Blomqvist, Carl, Meindl, Alfons, Schmutzler, Rita K, Müller-Myhsok, Bertram, Lichtner, Peter, Chang-Claude, Jenny, Hein, Rebecca, Nickels, Stefan, Flesch-Janys, Dieter, Tsimiklis, Helen, Makalic, Enes, Schmidt, Daniel, Bui, Minh, Hopper, John L, Apicella, Carmel, Park, Daniel J, Southey, Melissa, Hunter, David J, Chanock, Stephen J, Broeks, Annegien, Verhoef, Senno, Hogervorst, Frans BL, Fasching, Peter A, Lux, Michael P, Beckmann, Matthias W, Ekici, Arif B, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Guénel, Pascal, Truong, Thérèse, Cordina-Duverger, Emilie, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Milne, Roger L, Alonso, M Rosario, González-Neira, Anna, Benítez, Javier, Anton-Culver, Hoda, Ziogas, Argyrios, Bernstein, Leslie, Dur, Christina Clarke, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Stegmaier, Christa, Justenhoven, Christina, Brauch, Hiltrud, Brüning, Thomas, Wang-Gohrke, Shan, Eilber, Ursula, Dörk, Thilo, Schürmann, Peter, Bremer, Michael, Hillemanns, Peter, Bogdanova, Natalia V, Antonenkova, Natalia N, Rogov, Yuri I, Karstens, Johann H, Bermisheva, Marina, Prokofieva, Darya, Khusnutdinova, Elza, Lindblom, Annika, Margolin, Sara, and Mannermaa, Arto

Subjects
Biological Sciences, Genetics, Estrogen, Human Genome, Prevention, Cancer, Breast Cancer, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Chromosomes, Human, Pair 12, Chromosomes, Human, Pair 21, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Logistic Models, Polymorphism, Single Nucleotide, Principal Component Analysis, White People, Netherlands Collaborative Group on Hereditary Breast and Ovarian Cancer, Familial Breast Cancer Study, Gene Environment Interaction of Breast Cancer in Germany (GENICA) Network, kConFab Investigators, Australian Ovarian Cancer Study Group, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for ∼8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies (GWAS) in ∼70,000 cases and ∼68,000 controls from 41 case-control studies and 9 breast cancer GWAS. We identified three new breast cancer risk loci at 12p11 (rs10771399; P = 2.7 × 10(-35)), 12q24 (rs1292011; P = 4.3 × 10(-19)) and 21q21 (rs2823093; P = 1.1 × 10(-12)). rs10771399 was associated with similar relative risks for both estrogen receptor (ER)-negative and ER-positive breast cancer, whereas the other two loci were associated only with ER-positive disease. Two of the loci lie in regions that contain strong plausible candidate genes: PTHLH (12p11) has a crucial role in mammary gland development and the establishment of bone metastasis in breast cancer, and NRIP1 (21q21) encodes an ER cofactor and has a role in the regulation of breast cancer cell growth.

Published
2012

17. Interplay between BRCA1 and RHAMM regulates epithelial apicobasal polarization and may influence risk of breast cancer.

Author

Maxwell, Christopher A, Benítez, Javier, Gómez-Baldó, Laia, Osorio, Ana, Bonifaci, Núria, Fernández-Ramires, Ricardo, Costes, Sylvain V, Guinó, Elisabet, Chen, Helen, Evans, Gareth JR, Mohan, Pooja, Català, Isabel, Petit, Anna, Aguilar, Helena, Villanueva, Alberto, Aytes, Alvaro, Serra-Musach, Jordi, Rennert, Gad, Lejbkowicz, Flavio, Peterlongo, Paolo, Manoukian, Siranoush, Peissel, Bernard, Ripamonti, Carla B, Bonanni, Bernardo, Viel, Alessandra, Allavena, Anna, Bernard, Loris, Radice, Paolo, Friedman, Eitan, Kaufman, Bella, Laitman, Yael, Dubrovsky, Maya, Milgrom, Roni, Jakubowska, Anna, Cybulski, Cezary, Gorski, Bohdan, Jaworska, Katarzyna, Durda, Katarzyna, Sukiennicki, Grzegorz, Lubiński, Jan, Shugart, Yin Yao, Domchek, Susan M, Letrero, Richard, Weber, Barbara L, Hogervorst, Frans BL, Rookus, Matti A, Collee, J Margriet, Devilee, Peter, Ligtenberg, Marjolijn J, Luijt, Rob B van der, Aalfs, Cora M, Waisfisz, Quinten, Wijnen, Juul, Roozendaal, Cornelis EP van, HEBON, EMBRACE, Easton, Douglas F, Peock, Susan, Cook, Margaret, Oliver, Clare, Frost, Debra, Harrington, Patricia, Evans, D Gareth, Lalloo, Fiona, Eeles, Rosalind, Izatt, Louise, Chu, Carol, Eccles, Diana, Douglas, Fiona, Brewer, Carole, Nevanlinna, Heli, Heikkinen, Tuomas, Couch, Fergus J, Lindor, Noralane M, Wang, Xianshu, Godwin, Andrew K, Caligo, Maria A, Lombardi, Grazia, Loman, Niklas, Karlsson, Per, Ehrencrona, Hans, Wachenfeldt, Anna von, SWE-BRCA, Barkardottir, Rosa Bjork, Hamann, Ute, Rashid, Muhammad U, Lasa, Adriana, Caldés, Trinidad, Andrés, Raquel, Schmitt, Michael, Assmann, Volker, Stevens, Kristen, Offit, Kenneth, Curado, João, Tilgner, Hagen, Guigó, Roderic, Aiza, Gemma, Brunet, Joan, Castellsagué, Joan, and Martrat, Griselda

Subjects
HEBON, EMBRACE, SWE-BRCA, BCFR, GEMO Study Collaborators, kConFab, Breast, Cell Line, Tumor, Hela Cells, Microtubules, Epithelial Cells, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Protein-Serine-Threonine Kinases, BRCA1 Protein, BRCA2 Protein, Receptors, Estrogen, Extracellular Matrix Proteins, Cell Polarity, Genotype, Heterozygote, Genes, BRCA1, Genes, BRCA2, Female, Genetic Variation, Aurora Kinase A, Aurora Kinases, Hyaluronan Receptors, HeLa Cells, Cell Line, Tumor, Receptors, Estrogen, Genes, BRCA1, BRCA2, Biological Sciences, Agricultural and Veterinary Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Differentiated mammary epithelium shows apicobasal polarity, and loss of tissue organization is an early hallmark of breast carcinogenesis. In BRCA1 mutation carriers, accumulation of stem and progenitor cells in normal breast tissue and increased risk of developing tumors of basal-like type suggest that BRCA1 regulates stem/progenitor cell proliferation and differentiation. However, the function of BRCA1 in this process and its link to carcinogenesis remain unknown. Here we depict a molecular mechanism involving BRCA1 and RHAMM that regulates apicobasal polarity and, when perturbed, may increase risk of breast cancer. Starting from complementary genetic analyses across families and populations, we identified common genetic variation at the low-penetrance susceptibility HMMR locus (encoding for RHAMM) that modifies breast cancer risk among BRCA1, but probably not BRCA2, mutation carriers: n = 7,584, weighted hazard ratio ((w)HR) = 1.09 (95% CI 1.02-1.16), p(trend) = 0.017; and n = 3,965, (w)HR = 1.04 (95% CI 0.94-1.16), p(trend) = 0.43; respectively. Subsequently, studies of MCF10A apicobasal polarization revealed a central role for BRCA1 and RHAMM, together with AURKA and TPX2, in essential reorganization of microtubules. Mechanistically, reorganization is facilitated by BRCA1 and impaired by AURKA, which is regulated by negative feedback involving RHAMM and TPX2. Taken together, our data provide fundamental insight into apicobasal polarization through BRCA1 function, which may explain the expanded cell subsets and characteristic tumor type accompanying BRCA1 mutation, while also linking this process to sporadic breast cancer through perturbation of HMMR/RHAMM.

Published
2011

18. Identification of women with an increased risk of developing radiation-induced breast cancer: a case only study

Author

Broeks, Annegien, Braaf, Linde M, Huseinovic, Angelina, Nooijen, Anke, Urbanus, Jos, Hogervorst, Frans BL, Schmidt, Marjanka K, Klijn, Jan GM, Russell, Nicola S, Van Leeuwen, Flora E, and Van 't Veer, Laura J

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Prevention, Genetic Testing, Breast Cancer, Clinical Research, Cancer, Genetics, Aetiology, 2.1 Biological and endogenous factors, Adult, Ataxia Telangiectasia Mutated Proteins, Breast Neoplasms, Cell Cycle Proteins, Checkpoint Kinase 2, DNA Damage, DNA Repair, DNA-Binding Proteins, Female, Genes, BRCA1, Genes, BRCA2, Genetic Predisposition to Disease, Germ-Line Mutation, Humans, Middle Aged, Neoplasms, Radiation-Induced, Protein Serine-Threonine Kinases, Risk Factors, Tumor Suppressor Proteins, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

IntroductionRadiation exposure at a young age is one of the strongest risk factors for breast cancer. Germline mutations in genes involved in the DNA-damage repair pathway (DDRP) may render women more susceptible to radiation-induced breast cancer.MethodsWe evaluated the contribution of germline mutations in the DDRP genes BRCA1, BRCA2, CHEK2 and ATM to the risk of radiation-induced contralateral breast cancer (CBC). The germline mutation frequency was assessed, in a case-only study, in women who developed a CBC after they had a first breast cancer diagnosed before the age of 50 years, and who were (n = 169) or were not (n = 78) treated with radiotherapy for their first breast tumour.ResultsWe identified 27 BRCA1, 5 BRCA2, 15 CHEK2 and 4 truncating ATM germline mutation carriers among all CBC patients tested (21%). The mutation frequency was 24.3% among CBC patients with a history of radiotherapy, and 12.8% among patients not irradiated for the first breast tumour (odds ratio 2.18 (95% confidence interval 1.03 to 4.62); p = 0.043). The association between DDRP germline mutation carriers and risk of radiation-induced CBC seemed to be strongest in women who developed their second primary breast tumour at least 5 years after radiotherapy. Those patients had an odds ratio of 2.51 (95% confidence interval 1.03 to 6.10; p = 0.049) of developing radiation-induced breast cancer, in comparison with non-carriers.ConclusionThis study shows that carriers of germline mutations in a DDRP gene have an increased risk of developing (contralateral) breast cancer after radiotherapy; that is, over and above the risk associated with their carrier status. The increased risk indicates that knowledge of germline status of these DDRP genes at the time of breast cancer diagnosis may have important implications for the choice of treatment.

Published
2007

19. Risk of colorectal and endometrial cancers in EPCAM deletion-positive Lynch syndrome: a cohort study

Author

Kempers, Marlies JE, Kuiper, Roland P, Ockeloen, Charlotte W, Chappuis, Pierre O, Hutter, Pierre, Rahner, Nils, Schackert, Hans K, Steinke, Verena, Holinski-Feder, Elke, Morak, Monika, Kloor, Matthias, Büttner, Reinhard, Verwiel, Eugene TP, van Krieken, J Han, Nagtegaal, Iris D, Goossens, Monique, van der Post, Rachel S, Niessen, Renée C, Sijmons, Rolf H, Kluijt, Irma, Hogervorst, Frans BL, Leter, Edward M, Gille, Johan JP, Aalfs, Cora M, Redeker, Egbert JW, Hes, Frederik J, Tops, Carli MJ, van Nesselrooij, Bernadette PM, van Gijn, Marielle E, García, Encarna B Gómez, Eccles, Diana M, Bunyan, David J, Syngal, Sapna, Stoffel, Elena M, Culver, Julie O, Palomares, Melanie R, Graham, Tracy, Velsher, Lea, Papp, Janos, Oláh, Edith, Chan, Tsun L, Leung, Suet Y, van Kessel, Ad Geurts, Kiemeney, Lambertus ALM, Hoogerbrugge, Nicoline, and Ligtenberg, Marjolijn JL

Published
2011
Full Text
View/download PDF

21. Exploring the link between MORF4L1 and risk of breast cancer

Author

Martrat, Griselda, Maxwell, Christopher A, Tominaga, Emiko, Porta-de-la-Riva, Montserrat, Bonifaci, Núria, Gómez-Baldó, Laia, Bogliolo, Massimo, Lázaro, Conxi, Blanco, Ignacio, Brunet, Joan, Aguilar, Helena, Fernández-Rodríguez, Juana, Seal, Sheila, Renwick, Anthony, Rahman, Nazneen, Kühl, Julia, Neveling, Kornelia, Schindler, Detlev, Ramírez, María J, Castellà, María, Hernández, Gonzalo, Easton, Douglas F, Peock, Susan, Cook, Margaret, Oliver, Clare T, Frost, Debra, Platte, Radka, Evans, D Gareth, Lalloo, Fiona, Eeles, Rosalind, Izatt, Louise, Chu, Carol, Davidson, Rosemarie, Ong, Kai-Ren, Cook, Jackie, Douglas, Fiona, Hodgson, Shirley, Brewer, Carole, Morrison, Patrick J, Porteous, Mary, Peterlongo, Paolo, Manoukian, Siranoush, Peissel, Bernard, Zaffaroni, Daniela, Roversi, Gaia, Barile, Monica, Viel, Alessandra, Pasini, Barbara, Ottini, Laura, Putignano, Anna Laura, Savarese, Antonella, Bernard, Loris, Radice, Paolo, Healey, Sue, Spurdle, Amanda, Chen, Xiaoqing, Beesley, Jonathan, Rookus, Matti A, Verhoef, Senno, Tilanus-Linthorst, Madeleine A, Vreeswijk, Maaike P, Asperen, Christi J, Bodmer, Danielle, Ausems, Margreet GEM, van Os, Theo A, Blok, Marinus J, Meijers-Heijboer, Hanne EJ, Hogervorst, Frans BL, Goldgar, David E, Buys, Saundra, John, Esther M, Miron, Alexander, Southey, Melissa, Daly, Mary B, Harbst, Katja, Borg, Åke, Rantala, Johanna, Barbany-Bustinza, Gisela, Ehrencrona, Hans, Stenmark-Askmalm, Marie, Kaufman, Bella, Laitman, Yael, Milgrom, Roni, Friedman, Eitan, Domchek, Susan M, Nathanson, Katherine L, Rebbeck, Timothy R, Johannsson, Oskar Thor, Couch, Fergus J, Wang, Xianshu, Fredericksen, Zachary, Cuadras, Daniel, Moreno, Víctor, Pientka, Friederike K, Depping, Reinhard, Caldés, Trinidad, Osorio, Ana, Benítez, Javier, Bueren, Juan, Heikkinen, Tuomas, Nevanlinna, Heli, Hamann, Ute, Torres, Diana, Caligo, Maria Adelaide, Godwin, Andrew K, Imyanitov, Evgeny N, Janavicius, Ramunas, Sinilnikova, Olga M, Stoppa-Lyonnet, Dominique, Mazoyer, Sylvie, Verny-Pierre, Carole, Castera, Laurent, de Pauw, Antoine, Bignon, Yves-Jean, Uhrhammer, Nancy, Peyrat, Jean-Philippe, Vennin, Philippe, Ferrer, Sandra Fert, Collonge-Rame, Marie-Agnès, Mortemousque, Isabelle, McGuffog, Lesley, Chenevix-Trench, Georgia, Pereira-Smith, Olivia M, Antoniou, Antonis C, Cerón, Julián, Tominaga, Kaoru, Surrallés, Jordi, and Pujana, Miguel Angel

Published
2011
Full Text
View/download PDF

22. Behavioral and psychosocial effects of rapid genetic counseling and testing in newly diagnosed breast cancer patients: Design of a multicenter randomized clinical trial

Author

Valdimarsdottir Heiddis B, van der Luijt Rob B, Hogervorst Frans BL, Hahn Daniela EE, Bleiker Eveline MA, Verhoef Senno, Ausems Margreet GEM, Wevers Marijke R, van Hillegersberg Richard, Rutgers Emiel, and Aaronson Neil K

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background It has been estimated that between 5% and 10% of women diagnosed with breast cancer have a hereditary form of the disease, primarily caused by a BRCA1 or BRCA2 gene mutation. Such women have an increased risk of developing a new primary breast and/or ovarian tumor, and may therefore opt for preventive surgery (e.g., bilateral mastectomy, oophorectomy). It is common practice to offer high-risk patients genetic counseling and DNA testing after their primary treatment, with genetic test results being available within 4-6 months. However, some non-commercial laboratories can currently generate test results within 3 to 6 weeks, and thus make it possible to provide rapid genetic counseling and testing (RGCT) prior to primary treatment. The aim of this study is to determine the effect of RGCT on treatment decisions and on psychosocial health. Methods/Design In this randomized controlled trial, 255 newly diagnosed breast cancer patients with at least a 10% risk of carrying a BRCA gene mutation are being recruited from 12 hospitals in the Netherlands. Participants are randomized in a 2:1 ratio to either a RGCT intervention group (the offer of RGCT directly following diagnosis with tests results available before surgical treatment) or to a usual care control group. The primary behavioral outcome is the uptake of direct bilateral mastectomy or delayed prophylactic contralateral mastectomy. Psychosocial outcomes include cancer risk perception, cancer-related worry and distress, health-related quality of life, decisional satisfaction and the perceived need for and use of additional decisional counseling and psychosocial support. Data are collected via medical chart audits and self-report questionnaires administered prior to randomization, and at 6 month and at 12 month follow-up. Discussion This trial will provide essential information on the impact of RGCT on the choice of primary surgical treatment among women with breast cancer with an increased risk of hereditary cancer. This study will also provide data on the psychosocial consequences of RGCT and of risk-reducing behavior. Trial registration The study is registered at the Netherlands Trial Register (NTR1493) and ClinicalTrials.gov (NCT00783822).

Published
2011
Full Text
View/download PDF

23. A novel pathogenic MLH1 missense mutation, c.112A > C, p.Asn38His, in six families with Lynch syndrome

Author

van Riel Els, Ausems Margreet GEM, Hogervorst Frans BL, Kluijt Irma, van Gijn Marielle E, van Echtelt Jeanne, Scheidel-Jacobse Karen, Hennekam Eric FAM, Stulp Rein P, Vos Yvonne J, Offerhaus G Johan A, Menko Fred H, and Gille Johan JP

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Genetics, QH426-470
Abstract

Abstract Background An unclassified variant (UV) in exon 1 of the MLH1 gene, c.112A > C, p.Asn38His, was found in six families who meet diagnostic criteria for Lynch syndrome. The pathogenicity of this variant was unknown. We aim to elucidate the pathogenicity of this MLH1 variant in order to counsel these families adequately and to enable predictive testing in healthy at-risk relatives. Methods We studied clinical data, microsatellite instability and immunohistochemical staining of MMR proteins, and performed genealogy, haplotype analysis and DNA testing of control samples. Results The UV showed co-segregation with the disease in all families. All investigated tumors showed a microsatellite instable pattern. Immunohistochemical data were variable among tested tumors. Three families had a common ancestor and all families originated from the same geographical area in The Netherlands. Haplotype analysis showed a common haplotype in all six families. Conclusions We conclude that the MLH1 variant is a pathogenic mutation and genealogy and haplotype analysis results strongly suggest that it is a Dutch founder mutation. Our findings imply that predictive testing can be offered to healthy family members. The immunohistochemical data of MMR protein expression show that interpreting these results in case of a missense mutation should be done with caution.

Published
2010
Full Text
View/download PDF

24. Genome-wide association analysis identifies three new breast cancer susceptibility loci

Author

Ghoussaini, Maya, Fletcher, Olivia, Michailidou, Kyriaki, Turnbull, Clare, Schmidt, Marjanka K, Dicks, Ed, Dennis, Joe, Wang, Qin, Humphreys, Manjeet K, Luccarini, Craig, Baynes, Caroline, Conroy, Don, Maranian, Melanie, Ahmed, Shahana, Driver, Kristy, Johnson, Nichola, Orr, Nicholas, Silva, Isabel dos Santos, Waisfisz, Quinten, Meijers-Heijboer, Hanne, Uitterlinden, Andre G., Rivadeneira, Fernando, Hall, Per, Czene, Kamila, Irwanto, Astrid, Liu, Jianjun, Nevanlinna, Heli, Aittomäki, Kristiina, Blomqvist, Carl, Meindl, Alfons, Schmutzler, Rita K, Müller-Myhsok, Bertram, Lichtner, Peter, Chang-Claude, Jenny, Hein, Rebecca, Nickels, Stefan, Flesch-Janys, Dieter, Tsimiklis, Helen, Makalic, Enes, Schmidt, Daniel, Bui, Minh, Hopper, John L, Apicella, Carmel, Park, Daniel J, Southey, Melissa, Hunter, David J., Chanock, Stephen J, Broeks, Annegien, Verhoef, Senno, Hogervorst, Frans BL, Fasching, Peter A., Lux, Michael P., Beckmann, Matthias W., Ekici, Arif B., Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Guénel, Pascal, Truong, Thérèse, Cordina-Duverger, Emilie, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Milne, Roger L., Alonso, M. Rosario, González-Neira, Anna, Benítez, Javier, Anton-Culver, Hoda, Ziogas, Argyrios, Bernstein, Leslie, Dur, Christina Clarke, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Stegmaier, Christa, Justenhoven, Christina, Brauch, Hiltrud, Brüning, Thomas, Wang-Gohrke, Shan, Eilber, Ursula, Dörk, Thilo, Schürmann, Peter, Bremer, Michael, Hillemanns, Peter, Bogdanova, Natalia V., Antonenkova, Natalia N., Rogov, Yuri I., Karstens, Johann H., Bermisheva, Marina, Prokofieva, Darya, Khusnutdinova, Elza, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Lambrechts, Diether, Yesilyurt, Betul T., Floris, Giuseppe, Leunen, Karin, Manoukian, Siranoush, Bonanni, Bernardo, Fortuzzi, Stefano, Peterlongo, Paolo, Couch, Fergus J, Wang, Xianshu, Stevens, Kristen, Lee, Adam, Giles, Graham G., Baglietto, Laura, Severi, Gianluca, McLean, Catriona, Alnæs, Grethe Grenaker, Kristensen, Vessela, Børrensen-Dale, Anne-Lise, John, Esther M., Miron, Alexander, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Kauppila, Saila, Andrulis, Irene L., Glendon, Gord, Mulligan, Anna Marie, Devilee, Peter, van Asperen, Christie J., Tollenaar, Rob A.E.M., Seynaeve, Caroline, Figueroa, Jonine D, Garcia-Closas, Montserrat, Brinton, Louise, Lissowska, Jolanta, Hooning, Maartje J., Hollestelle, Antoinette, Oldenburg, Rogier A., van den Ouweland, Ans M.W., Cox, Angela, Reed, Malcolm WR, Shah, Mitul, Jakubowska, Ania, Lubinski, Jan, Jaworska, Katarzyna, Durda, Katarzyna, Jones, Michael, Schoemaker, Minouk, Ashworth, Alan, Swerdlow, Anthony, Beesley, Jonathan, Chen, Xiaoqing, Muir, Kenneth R, Lophatananon, Artitaya, Rattanamongkongul, Suthee, Chaiwerawattana, Arkom, Kang, Daehee, Yoo, Keun-Young, Noh, Dong-Young, Shen, Chen-Yang, Yu, Jyh-Cherng, Wu, Pei-Ei, Hsiung, Chia-Ni, Perkins, Annie, Swann, Ruth, Velentzis, Louiza, Eccles, Diana M, Tapper, Will J, Gerty, Susan M, Graham, Nikki J, Ponder, Bruce A. J., Chenevix-Trench, Georgia, Pharoah, Paul D.P., Lathrop, Mark, Dunning, Alison M., Rahman, Nazneen, Peto, Julian, and Easton, Douglas F

Abstract

Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for ~ 8% of the heritability of the disease. We followed up 72 promising associations from two independent Genome Wide Association Studies (GWAS) in ~70,000 cases and ~68,000 controls from 41 case-control studies and nine breast cancer GWAS. We identified three new breast cancer risk loci on 12p11 (rs10771399; P=2.7 × 10−35), 12q24 (rs1292011; P=4.3×10−19) and 21q21 (rs2823093; P=1.1×10−12). SNP rs10771399 was associated with similar relative risks for both estrogen receptor (ER)-negative and ER-positive breast cancer, whereas the other two loci were associated only with ER-positive disease. Two of the loci lie in regions that contain strong plausible candidate genes: PTHLH (12p11) plays a crucial role in mammary gland development and the establishment of bone metastasis in breast cancer, while NRIP1 (21q21) encodes an ER co-factor and has a role in the regulation of breast cancer cell growth.

Published
2013
Full Text
View/download PDF

25. Evaluation of copy-number variants as modifiers of breast and ovarian cancer risk for BRCA1 pathogenic variant carriers.

Author

Walker LC, Marquart L, Pearson JF, Wiggins GA, O'Mara TA, Parsons MT, Barrowdale D, McGuffog L, Dennis J, Benitez J, Slavin TP, Radice P, Frost D, Godwin AK, Meindl A, Schmutzler RK, Isaacs C, Peshkin BN, Caldes T, Hogervorst FB, Lazaro C, Jakubowska A, Montagna M, Chen X, Offit K, Hulick PJ, Andrulis IL, Lindblom A, Nussbaum RL, Nathanson KL, Chenevix-Trench G, Antoniou AC, Couch FJ, and Spurdle AB

Subjects
Adult, Aryl Hydrocarbon Hydroxylases genetics, Cytochrome P450 Family 2 genetics, DNA-Binding Proteins genetics, Female, Glutamate Carboxypeptidase II genetics, Heterozygote, Humans, Pregnancy-Specific beta 1-Glycoproteins genetics, Transcription Factors, TFII genetics, BRCA1 Protein genetics, Breast Neoplasms genetics, DNA Copy Number Variations, Genes, Modifier, Ovarian Neoplasms genetics
Abstract

Genome-wide studies of patients carrying pathogenic variants (mutations) in BRCA1 or BRCA2 have reported strong associations between single-nucleotide polymorphisms (SNPs) and cancer risk. To conduct the first genome-wide association analysis of copy-number variants (CNVs) with breast or ovarian cancer risk in a cohort of 2500 BRCA1 pathogenic variant carriers, CNV discovery was performed using multiple calling algorithms and Illumina 610k SNP array data from a previously published genome-wide association study. Our analysis, which focused on functionally disruptive genomic deletions overlapping gene regions, identified a number of loci associated with risk of breast or ovarian cancer for BRCA1 pathogenic variant carriers. Despite only including putative deletions called by at least two or more algorithms, detection of selected CNVs by ancillary molecular technologies only confirmed 40% of predicted common (>1% allele frequency) variants. These include four loci that were associated (unadjusted P<0.05) with breast cancer (GTF2H2, ZNF385B, NAALADL2 and PSG5), and two loci associated with ovarian cancer (CYP2A7 and OR2A1). An interesting finding from this study was an association of a validated CNV deletion at the CYP2A7 locus (19q13.2) with decreased ovarian cancer risk (relative risk=0.50, P=0.007). Genomic analysis found this deletion coincides with a region displaying strong regulatory potential in ovarian tissue, but not in breast epithelial cells. This study highlighted the need to verify CNVs in vitro, but also provides evidence that experimentally validated CNVs (with plausible biological consequences) can modify risk of breast or ovarian cancer in BRCA1 pathogenic variant carriers.

Published
2017
Full Text
View/download PDF

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

Author

Blein S, Bardel C, Danjean V, McGuffog L, Healey S, Barrowdale D, Lee A, Dennis J, Kuchenbaecker KB, Soucy P, Terry MB, Chung WK, Goldgar DE, Buys SS, Janavicius R, Tihomirova L, Tung N, Dorfling CM, van Rensburg EJ, Neuhausen SL, Ding YC, Gerdes AM, Ejlertsen B, Nielsen FC, Hansen TV, Osorio A, Benitez J, Conejero RA, Segota E, Weitzel JN, Thelander M, Peterlongo P, Radice P, Pensotti V, Dolcetti R, Bonanni B, Peissel B, Zaffaroni D, Scuvera G, Manoukian S, Varesco L, Capone GL, Papi L, Ottini L, Yannoukakos D, Konstantopoulou I, Garber J, Hamann U, Donaldson A, Brady A, Brewer C, Foo C, Evans DG, Frost D, Eccles D, Douglas F, Cook J, Adlard J, Barwell J, Walker L, Izatt L, Side LE, Kennedy MJ, Tischkowitz M, Rogers MT, Porteous ME, Morrison PJ, Platte R, Eeles R, Davidson R, Hodgson S, Cole T, Godwin AK, Isaacs C, Claes K, De Leeneer K, Meindl A, Gehrig A, Wappenschmidt B, Sutter C, Engel C, Niederacher D, Steinemann D, Plendl H, Kast K, Rhiem K, Ditsch N, Arnold N, Varon-Mateeva R, Schmutzler RK, Preisler-Adams S, Markov NB, Wang-Gohrke S, de Pauw A, Lefol C, Lasset C, Leroux D, Rouleau E, Damiola F, Dreyfus H, Barjhoux L, Golmard L, Uhrhammer N, Bonadona V, Sornin V, Bignon YJ, Carter J, Van Le L, Piedmonte M, DiSilvestro PA, de la Hoya M, Caldes T, Nevanlinna H, Aittomäki K, Jager A, van den Ouweland AM, Kets CM, Aalfs CM, van Leeuwen FE, Hogervorst FB, Meijers-Heijboer HE, Oosterwijk JC, van Roozendaal KE, Rookus MA, Devilee P, van der Luijt RB, Olah E, Diez O, Teulé A, Lazaro C, Blanco I, Del Valle J, Jakubowska A, Sukiennicki G, Gronwald J, Lubinski J, Durda K, Jaworska-Bieniek K, Agnarsson BA, Maugard C, Amadori A, Montagna M, Teixeira MR, Spurdle AB, Foulkes W, Olswold C, Lindor NM, Pankratz VS, Szabo CI, Lincoln A, Jacobs L, Corines M, Robson M, Vijai J, Berger A, Fink-Retter A, Singer CF, Rappaport C, Kaulich DG, Pfeiler G, Tea MK, Greene MH, Mai PL, Rennert G, Imyanitov EN, Mulligan AM, Glendon G, Andrulis IL, Tchatchou S, Toland AE, Pedersen IS, Thomassen M, Kruse TA, Jensen UB, Caligo MA, Friedman E, Zidan J, Laitman Y, Lindblom A, Melin B, Arver B, Loman N, Rosenquist R, Olopade OI, Nussbaum RL, Ramus SJ, Nathanson KL, Domchek SM, Rebbeck TR, Arun BK, Mitchell G, Karlan BY, Lester J, Orsulic S, Stoppa-Lyonnet D, Thomas G, Simard J, Couch FJ, Offit K, Easton DF, Chenevix-Trench G, Antoniou AC, Mazoyer S, Phelan CM, Sinilnikova OM, and Cox DG

Subjects
BRCA1 Protein genetics, Female, Genetic Predisposition to Disease, Haplotypes, Humans, Phylogeny, Risk, Breast Neoplasms genetics, Genes, BRCA2, Genes, Mitochondrial, Heterozygote, Mutation
Abstract

Introduction: Individuals 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., Methods: We 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., Results: We 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., Conclusions: This 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
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results