Author: "Michailidou, Kyriaki" / Topic: polymorphism - Searchworks@Jio Institute Digital Library Search Results

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104 results on '"Michailidou, Kyriaki"'

1. Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel

Author: Levi, Hagai, Carmi, Shai, Rosset, Saharon, Yerushalmi, Rinat, Zick, Aviad, Yablonski-Peretz, Tamar, Consortium, The BCAC, Wang, Qin, Bolla, Manjeet K, Dennis, Joe, Michailidou, Kyriaki, Lush, Michael, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Antoniou, Antonis C, Arndt, Volker, Augustinsson, Annelie, Auvinen, Päivi, Freeman, Laura Beane, Beckmann, Matthias, Behrens, Sabine, Bermisheva, Marina, Bodelon, Clara, Bogdanova, Natalia V, Bojesen, Stig E, Brenner, Hermann, Byers, Helen, Camp, Nicola, Castelao, Jose, Chang-Claude, Jenny, Chirlaque, María-Dolores, Chung, Wendy, Clarke, Christine, Collaborators, NBCS, Collee, Margriet J, Colonna, Sarah, Consortium, CTS, Couch, Fergus, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary, Devilee, Peter, Dork, Thilo, Dossus, Laure, Eccles, Diana M, Eliassen, A Heather, Eriksson, Mikael, Evans, Gareth, Fasching, Peter, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, Garcia-Saenz, Jose Angel, Genkinger, Jeanine, Giles, Graham G, Goldberg, Mark, Guénel, Pascal, Hall, Per, Hamann, Ute, He, Wei, Hillemanns, Peter, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John, Investigators, ABCTB, Jakovchevska, Simona, Jakubowska, Anna, Jernström, Helena, John, Esther, Johnson, Nichola, Jones, Michael, Vijai, Joseph, Kaaks, Rudolf, Khusnutdinova, Elza, Kitahara, Cari, Koutros, Stella, Kristensen, Vessela, Kurian, Allison W, Lacey, James, Lambrechts, Diether, Le Marchand, Loic, Lejbkowicz, Flavio, Lindblom, Annika, Loibl, Sibylle, Lori, Adriana, Lubinski, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Mavroudis, Dimitrios, Menon, Usha, Mulligan, AnnaMarie, Murphy, Rachel, Nevelsteen, Ines, Newman, William G, and Obi, Nadia
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Breast Cancer, Prevention, Cancer, Humans, Female, Breast Neoplasms, Genome-Wide Association Study, Jews, Israel, Genetic Predisposition to Disease, Risk Factors, Multifactorial Inheritance, Transcription Factors, Genomics, Polymorphism, Genetic, BCAC Consortium, NBCS Collaborators, CTS Consortium, ABCTB Investigators, Polymorphism, Genetic, Medical and Health Sciences, Genetics & Heredity, Clinical sciences
Abstract: BackgroundPolygenic risk score (PRS), calculated based on genome-wide association studies (GWASs), can improve breast cancer (BC) risk assessment. To date, most BC GWASs have been performed in individuals of European (EUR) ancestry, and the generalisation of EUR-based PRS to other populations is a major challenge. In this study, we examined the performance of EUR-based BC PRS models in Ashkenazi Jewish (AJ) women.MethodsWe generated PRSs based on data on EUR women from the Breast Cancer Association Consortium (BCAC). We tested the performance of the PRSs in a cohort of 2161 AJ women from Israel (1437 cases and 724 controls) from BCAC (BCAC cohort from Israel (BCAC-IL)). In addition, we tested the performance of these EUR-based BC PRSs, as well as the established 313-SNP EUR BC PRS, in an independent cohort of 181 AJ women from Hadassah Medical Center (HMC) in Israel.ResultsIn the BCAC-IL cohort, the highest OR per 1 SD was 1.56 (±0.09). The OR for AJ women at the top 10% of the PRS distribution compared with the middle quintile was 2.10 (±0.24). In the HMC cohort, the OR per 1 SD of the EUR-based PRS that performed best in the BCAC-IL cohort was 1.58±0.27. The OR per 1 SD of the commonly used 313-SNP BC PRS was 1.64 (±0.28).ConclusionsExtant EUR GWAS data can be used for generating PRSs that identify AJ women with markedly elevated risk of BC and therefore hold promise for improving BC risk assessment in AJ women.
Published: 2023

2. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry

Author: Middha, Pooja, Wang, Xiaoliang, Behrens, Sabine, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Augustinsson, Annelie, Baert, Thaïs, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Benitez, Javier, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Cordina-Duverger, Emilie, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dossus, Laure, Dugué, Pierre-Antoine, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine D, Fletcher, Olivia, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Giles, Graham G, González-Neira, Anna, Grassmann, Felix, Grundy, Anne, Guénel, Pascal, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan E, Harkness, Elaine F, Holleczek, Bernd, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Hunter, David J, Ingvar, Christian, Isaksson, Karolin, Jernström, Helena, John, Esther M, Jones, Michael E, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W, Lacey, James V, Lambrechts, Diether, Larson, Nicole L, Larsson, Susanna, Le Marchand, Loic, Lejbkowicz, Flavio, Li, Shuai, Linet, Martha, Lissowska, Jolanta, Martinez, Maria Elena, Maurer, Tabea, Mulligan, Anna Marie, Mulot, Claire, Murphy, Rachel A, Newman, William G, Nielsen, Sune F, Nordestgaard, Børge G, Norman, Aaron, O’Brien, Katie M, Olson, Janet E, Patel, Alpa V, Prentice, Ross, Rees-Punia, Erika, Rennert, Gad, Rhenius, Valerie, Ruddy, Kathryn J, and Sandler, Dale P
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer Genomics, Human Genome, Estrogen, Cancer, Women's Health, Genetics, Prevention, Aging, Breast Cancer, 2.1 Biological and endogenous factors, Adult, Female, Humans, Gene-Environment Interaction, Genetic Predisposition to Disease, Breast Neoplasms, Bayes Theorem, Genome-Wide Association Study, Risk Factors, Polymorphism, Single Nucleotide, Case-Control Studies, Breast cancer, Gene-environment interactions, Genetic epidemiology, European ancestry, CTS Consortium, ABCTB Investigators, kConFab Investigators, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract: BackgroundGenome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer.MethodsAnalyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs.ResultsAssuming a 1 × 10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability
Published: 2023

3. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

Author: Mueller, Stefanie H, Lai, Alvina G, Valkovskaya, Maria, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Abu-Ful, Zomoruda, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baert, Thais, Freeman, Laura E Beane, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Brenner, Hermann, Brucker, Sara Y, Buys, Saundra S, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Choi, Ji-Yeob, Chung, Wendy K, Colonna, Sarah V, Cornelissen, Sten, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Gago-Dominguez, Manuela, Gao, Yu-Tang, García-Closas, Montserrat, García-Sáenz, José A, Genkinger, Jeanine, Gentry-Maharaj, Aleksandra, Grassmann, Felix, Guénel, Pascal, Gündert, Melanie, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Harkness, Elaine F, Harrington, Patricia A, Hartikainen, Jaana M, Hartman, Mikael, Hein, Alexander, Ho, Weang-Kee, Hooning, Maartje J, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Hunter, David J, Huo, Dezheng, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Khusnutdinova, Elza K, Kim, Sung-Won, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Kwong, Ava, Lacey, James V, Lambrechts, Diether, and Le Marchand, Loic
Subjects: Breast Cancer, Genetics, Clinical Research, Cancer, Aetiology, 2.1 Biological and endogenous factors, Humans, Female, Breast Neoplasms, Genetic Predisposition to Disease, Black People, Genetic Testing, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Formins, Breast cancer susceptibility, Diverse ancestry, Rare variants, Gene regulation, Genome-wide association study, NBCS Collaborators, CTS Consortium, ABCTB Investigators, Clinical Sciences
Abstract: BackgroundLow-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes.MethodsWe evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes' coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry.ResultsIn European ancestry samples, 14 genes were significantly associated (q
Published: 2023

4. Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study

Author: Dixon-Suen, Suzanne C, Lewis, Sarah J, Martin, Richard M, English, Dallas R, Boyle, Terry, Giles, Graham G, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Investigators, ABCTB, Ahearn, Thomas U, Ambrosone, Christine B, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Auvinen, Päivi, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Brenner, Hermann, Brüning, Thomas, Buys, Saundra S, Camp, Nicola J, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Cessna, Melissa H, Chang-Claude, Jenny, Chanock, Stephen J, Clarke, Christine L, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Goldberg, Mark S, Guénel, Pascal, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A, Häberle, Lothar, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hart, Steven N, Harvie, Michelle, Hillemanns, Peter, Hollestelle, Antoinette, Hooning, Maartje J, Hoppe, Reiner, Hopper, John, Howell, Anthony, Hunter, David J, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic, Lindblom, Annika, Loibl, Sibylle, Lubiński, Jan, Mannermaa, Arto, and Manoochehri, Mehdi
Subjects: Aging, Genetics, Breast Cancer, Clinical Research, Cancer, Prevention, Female, Humans, Breast Neoplasms, Exercise, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Risk Factors, Sedentary Behavior, Breast Cancer Association Consortium, Breast, Physical activity, Sedentary Behaviour, Engineering, Medical and Health Sciences, Education, Sport Sciences
Abstract: ObjectivesPhysical inactivity and sedentary behaviour are associated with higher breast cancer risk in observational studies, but ascribing causality is difficult. Mendelian randomisation (MR) assesses causality by simulating randomised trial groups using genotype. We assessed whether lifelong physical activity or sedentary time, assessed using genotype, may be causally associated with breast cancer risk overall, pre/post-menopause, and by case-groups defined by tumour characteristics.MethodsWe performed two-sample inverse-variance-weighted MR using individual-level Breast Cancer Association Consortium case-control data from 130 957 European-ancestry women (69 838 invasive cases), and published UK Biobank data (n=91 105-377 234). Genetic instruments were single nucleotide polymorphisms (SNPs) associated in UK Biobank with wrist-worn accelerometer-measured overall physical activity (nsnps=5) or sedentary time (nsnps=6), or accelerometer-measured (nsnps=1) or self-reported (nsnps=5) vigorous physical activity.ResultsGreater genetically-predicted overall activity was associated with lower breast cancer overall risk (OR=0.59; 95% confidence interval (CI) 0.42 to 0.83 per-standard deviation (SD;~8 milligravities acceleration)) and for most case-groups. Genetically-predicted vigorous activity was associated with lower risk of pre/perimenopausal breast cancer (OR=0.62; 95% CI 0.45 to 0.87,≥3 vs. 0 self-reported days/week), with consistent estimates for most case-groups. Greater genetically-predicted sedentary time was associated with higher hormone-receptor-negative tumour risk (OR=1.77; 95% CI 1.07 to 2.92 per-SD (~7% time spent sedentary)), with elevated estimates for most case-groups. Results were robust to sensitivity analyses examining pleiotropy (including weighted-median-MR, MR-Egger).ConclusionOur study provides strong evidence that greater overall physical activity, greater vigorous activity, and lower sedentary time are likely to reduce breast cancer risk. More widespread adoption of active lifestyles may reduce the burden from the most common cancer in women.
Published: 2022

5. Association of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment

Author: Morra, Anna, Escala-Garcia, Maria, Beesley, Jonathan, Keeman, Renske, Canisius, Sander, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Auer, Paul L, Augustinsson, Annelie, Beane Freeman, Laura E, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bojesen, Stig E, Bolla, Manjeet K, Brenner, Hermann, Brüning, Thomas, Buys, Saundra S, Caan, Bette, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Cheng, Ting-Yuan David, Clarke, Christine L, Colonna, Sarah V, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Dennis, Joe, Dörk, Thilo, Dossus, Laure, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Fritschi, Lin, Gago-Dominguez, Manuela, García-Sáenz, José A, Giles, Graham G, Grip, Mervi, Guénel, Pascal, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hart, Steven N, Hartikainen, Jaana M, Hartmann, Arndt, He, Wei, Hooning, Maartje J, Hoppe, Reiner, Hopper, John L, Howell, Anthony, Hunter, David J, Jager, Agnes, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey Y, Kaaks, Rudolf, Keupers, Machteld, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kurian, Allison W, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic, Lindblom, Annika, Linet, Martha, Luben, Robert N, Lubiński, Jan, Lush, Michael, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martens, John WM, Martinez, Maria Elena, Mavroudis, Dimitrios, Michailidou, Kyriaki, Milne, Roger L, Mulligan, Anna Marie, Muranen, Taru A, Nevanlinna, Heli, Newman, William G, and Nielsen, Sune F
Subjects: Clinical Research, Cancer, Breast Cancer, Human Genome, Genetics, 2.1 Biological and endogenous factors, Aetiology, Breast Neoplasms, Female, Genome-Wide Association Study, Germ-Line Mutation, Humans, Polymorphism, Single Nucleotide, Prognosis, Survival Analysis, Common germline genetic variants, Breast cancer-specific survival, Patient subgroups, Tumor biology, Systemic treatment, NBCS Collaborators, ABCTB Investigators, kConFab Investigators, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract: BackgroundGiven the high heterogeneity among breast tumors, associations between common germline genetic variants and survival that may exist within specific subgroups could go undetected in an unstratified set of breast cancer patients.MethodsWe performed genome-wide association analyses within 15 subgroups of breast cancer patients based on prognostic factors, including hormone receptors, tumor grade, age, and type of systemic treatment. Analyses were based on 91,686 female patients of European ancestry from the Breast Cancer Association Consortium, including 7531 breast cancer-specific deaths over a median follow-up of 8.1 years. Cox regression was used to assess associations of common germline variants with 15-year and 5-year breast cancer-specific survival. We assessed the probability of these associations being true positives via the Bayesian false discovery probability (BFDP
Published: 2021

6. Mendelian randomisation study of smoking exposure in relation to breast cancer risk

Author: Park, Hanla A, Neumeyer, Sonja, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baten, Adinda, Beane Freeman, Laura E, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brucker, Sara Y, Burwinkel, Barbara, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, dos-Santos-Silva, Isabel, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Fritschi, Lin, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Glendon, Gord, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Grip, Mervi, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Han, Sileny, Harkness, Elaine F, Hart, Steven N, He, Wei, Heemskerk-Gerritsen, Bernadette AM, Hopper, John L, Hunter, David J, Jager, Agnes, Jakubowska, Anna, John, Esther M, Jung, Audrey, Kaaks, Rudolf, Kapoor, Pooja Middha, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Koppert, Linetta B, Koutros, Stella, Kristensen, Vessela N, Kurian, Allison W, Lacey, James, Lambrechts, Diether, Le Marchand, Loic, Lo, Wing-Yee, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, Mavroudis, Dimitrios, Meindl, Alfons, Menon, Usha, Milne, Roger L, Muranen, Taru A, and Nevanlinna, Heli
Subjects: Genetics, Cancer, Substance Misuse, Clinical Research, Human Genome, Prevention, Drug Abuse (NIDA only), Breast Cancer, Tobacco, Tobacco Smoke and Health, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Breast Neoplasms, Case-Control Studies, Cigarette Smoking, Female, Genetic Pleiotropy, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotyping Techniques, Humans, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, NBCS Collaborators, ABCTB Investigators, kConFab Investigators, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract: BackgroundDespite a modest association between tobacco smoking and breast cancer risk reported by recent epidemiological studies, it is still equivocal whether smoking is causally related to breast cancer risk.MethodsWe applied Mendelian randomisation (MR) to evaluate a potential causal effect of cigarette smoking on breast cancer risk. Both individual-level data as well as summary statistics for 164 single-nucleotide polymorphisms (SNPs) reported in genome-wide association studies of lifetime smoking index (LSI) or cigarette per day (CPD) were used to obtain MR effect estimates. Data from 108,420 invasive breast cancer cases and 87,681 controls were used for the LSI analysis and for the CPD analysis conducted among ever-smokers from 26,147 cancer cases and 26,072 controls. Sensitivity analyses were conducted to address pleiotropy.ResultsGenetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07-1.30, P = 0.11 × 10-2), but there was no evidence of association for genetically predicted CPD (OR 1.02, 95% CI: 0.78-1.19, P = 0.85). The sensitivity analyses yielded similar results and showed no strong evidence of pleiotropic effect.ConclusionOur MR study provides supportive evidence for a potential causal association with breast cancer risk for lifetime smoking exposure but not cigarettes per day among smokers.
Published: 2021

7. Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women.

Author: Adedokun, Babatunde, Du, Zhaohui, Gao, Guimin, Ahearn, Thomas U, Lunetta, Kathryn L, Zirpoli, Gary, Figueroa, Jonine, John, Esther M, Bernstein, Leslie, Zheng, Wei, Hu, Jennifer J, Ziegler, Regina G, Nyante, Sarah, Bandera, Elisa V, Ingles, Sue A, Press, Michael F, Deming-Halverson, Sandra L, Rodriguez-Gil, Jorge L, Yao, Song, Ogundiran, Temidayo O, Ojengbede, Oladosu, Blot, William, Troester, Melissa A, Nathanson, Katherine L, Hennis, Anselm, Nemesure, Barbara, Ambs, Stefan, Fiorica, Peter N, Sucheston-Campbell, Lara E, Bensen, Jeannette T, Kushi, Lawrence H, Torres-Mejia, Gabriela, Hu, Donglei, Fejerman, Laura, Bolla, Manjeet K, Dennis, Joe, Dunning, Alison M, Easton, Douglas F, Michailidou, Kyriaki, Pharoah, Paul DP, Wang, Qin, Sandler, Dale P, Taylor, Jack A, O'Brien, Katie M, Kitahara, Cari M, Falusi, Adeyinka G, Babalola, Chinedum, Yarney, Joel, Awuah, Baffour, Addai-Wiafe, Beatrice, GBHS Study Team, Chanock, Stephen J, Olshan, Andrew F, Ambrosone, Christine B, Conti, David V, Ziv, Elad, Olopade, Olufunmilayo I, Garcia-Closas, Montserrat, Palmer, Julie R, Haiman, Christopher A, and Huo, Dezheng
Subjects: GBHS Study Team, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Introns, African Continental Ancestry Group, European Continental Ancestry Group, Female, Genome-Wide Association Study
Abstract: Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first identify variants that are associated with breast cancer at P
Published: 2021

8. Combined Associations of a Polygenic Risk Score and Classical Risk Factors With Breast Cancer Risk.

Author: Kapoor, Pooja Middha, Mavaddat, Nasim, Choudhury, Parichoy Pal, Wilcox, Amber N, Lindström, Sara, Behrens, Sabine, Michailidou, Kyriaki, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Jung, Audrey, Abu-Ful, Zomoroda, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bernstein, Leslie, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chatterjee, Nilanjan, Chenevix-Trench, Georgia, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dai, James Y, Earp, H Shelton, Ekici, Arif B, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gao, Chi, Gapstur, Susan M, Gaudet, Mia M, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hatse, Sigrid, Heyworth, Jane, Holleczek, Bernd, Hoover, Robert N, Hopper, John L, Howell, Anthony, Hunter, David J, ABCTB Investigators, kConFab/AOCS Investigators, John, Esther M, Jones, Michael E, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, MacInnis, Robert J, Martinez, Maria Elena, Maurer, Tabea, McLean, Catriona, Neuhausen, Susan L, Newman, William G, Norman, Aaron, O'Brien, Katie M, Olshan, Andrew F, Olson, Janet E, Olsson, Håkan, and Orr, Nick
Subjects: ABCTB Investigators, kConFab/AOCS Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Receptors, Estrogen, Medical History Taking, Body Mass Index, Logistic Models, Risk Factors, Case-Control Studies, Polymorphism, Single Nucleotide, Aged, Aged, 80 and over, Middle Aged, Female, White People, Aging, Breast Cancer, Prevention, Cancer, Clinical Research, 2.1 Biological and endogenous factors, Aetiology, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract: We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer.
Published: 2021

9. Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers.

Author: Zhang, Yan Dora, Hurson, Amber N, Zhang, Haoyu, Choudhury, Parichoy Pal, Easton, Douglas F, Milne, Roger L, Simard, Jacques, Hall, Per, Michailidou, Kyriaki, Dennis, Joe, Schmidt, Marjanka K, Chang-Claude, Jenny, Gharahkhani, Puya, Whiteman, David, Campbell, Peter T, Hoffmeister, Michael, Jenkins, Mark, Peters, Ulrike, Hsu, Li, Gruber, Stephen B, Casey, Graham, Schmit, Stephanie L, O'Mara, Tracy A, Spurdle, Amanda B, Thompson, Deborah J, Tomlinson, Ian, De Vivo, Immaculata, Landi, Maria Teresa, Law, Matthew H, Iles, Mark M, Demenais, Florence, Kumar, Rajiv, MacGregor, Stuart, Bishop, D Timothy, Ward, Sarah V, Bondy, Melissa L, Houlston, Richard, Wiencke, John K, Melin, Beatrice, Barnholtz-Sloan, Jill, Kinnersley, Ben, Wrensch, Margaret R, Amos, Christopher I, Hung, Rayjean J, Brennan, Paul, McKay, James, Caporaso, Neil E, Berndt, Sonja I, Birmann, Brenda M, Camp, Nicola J, Kraft, Peter, Rothman, Nathaniel, Slager, Susan L, Berchuck, Andrew, Pharoah, Paul DP, Sellers, Thomas A, Gayther, Simon A, Pearce, Celeste L, Goode, Ellen L, Schildkraut, Joellen M, Moysich, Kirsten B, Amundadottir, Laufey T, Jacobs, Eric J, Klein, Alison P, Petersen, Gloria M, Risch, Harvey A, Stolzenberg-Solomon, Rachel Z, Wolpin, Brian M, Li, Donghui, Eeles, Rosalind A, Haiman, Christopher A, Kote-Jarai, Zsofia, Schumacher, Fredrick R, Al Olama, Ali Amin, Purdue, Mark P, Scelo, Ghislaine, Dalgaard, Marlene D, Greene, Mark H, Grotmol, Tom, Kanetsky, Peter A, McGlynn, Katherine A, Nathanson, Katherine L, Turnbull, Clare, Wiklund, Fredrik, Breast Cancer Association Consortium (BCAC), Barrett’s and Esophageal Adenocarcinoma Consortium (BEACON), Colon Cancer Family Registry (CCFR), Transdisciplinary Studies of Genetic Variation in Colorectal Cancer (CORECT), Endometrial Cancer Association Consortium (ECAC), Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), Melanoma Genetics Consortium (GenoMEL), Glioma International Case-Control Study (GICC), International Lung Cancer Consortium (ILCCO), Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Consortium, International Consortium of Investigators Working on Non-Hodgkin’s Lymphoma Epidemiologic Studies (InterLymph), Ovarian Cancer Association Consortium (OCAC), Oral Cancer GWAS, Pancreatic Cancer Case-Control Consortium (PanC4), Pancreatic Cancer Cohort Consortium (PanScan), and Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL)
Subjects: Breast Cancer Association Consortium, Barrett’s and Esophageal Adenocarcinoma Consortium, Colon Cancer Family Registry, Transdisciplinary Studies of Genetic Variation in Colorectal Cancer, Endometrial Cancer Association Consortium, Genetics and Epidemiology of Colorectal Cancer Consortium, Melanoma Genetics Consortium, Glioma International Case-Control Study, International Lung Cancer Consortium, Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Consortium, International Consortium of Investigators Working on Non-Hodgkin’s Lymphoma Epidemiologic Studies, Ovarian Cancer Association Consortium, Oral Cancer GWAS, Pancreatic Cancer Case-Control Consortium, Pancreatic Cancer Cohort Consortium, Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome, Renal Cancer GWAS, Testicular Cancer Consortium, Animals, Humans, Neoplasms, Genetic Predisposition to Disease, Incidence, Risk Assessment, Risk Factors, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Models, Genetic, Female, Male, Genome-Wide Association Study, Human Genome, Prevention, Cancer, Prostate Cancer, Genetics, Urologic Diseases, 2.1 Biological and endogenous factors
Abstract: Genome-wide association studies (GWAS) have led to the identification of hundreds of susceptibility loci across cancers, but the impact of further studies remains uncertain. Here we analyse summary-level data from GWAS of European ancestry across fourteen cancer sites to estimate the number of common susceptibility variants (polygenicity) and underlying effect-size distribution. All cancers show a high degree of polygenicity, involving at a minimum of thousands of loci. We project that sample sizes required to explain 80% of GWAS heritability vary from 60,000 cases for testicular to over 1,000,000 cases for lung cancer. The maximum relative risk achievable for subjects at the 99th risk percentile of underlying polygenic risk scores (PRS), compared to average risk, ranges from 12 for testicular to 2.5 for ovarian cancer. We show that PRS have potential for risk stratification for cancers of breast, colon and prostate, but less so for others because of modest heritability and lower incidence.
Published: 2020

10. Assessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk, in the Breast Cancer Association Consortium

Author: Kapoor, Pooja Middha, Lindström, Sara, Behrens, Sabine, Wang, Xiaoliang, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Dunning, Alison M, Pharoah, Paul DP, Schmidt, Marjanka K, Kraft, Peter, García-Closas, Montserrat, Easton, Douglas F, Milne, Roger L, Chang-Claude, Jenny, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Augustinsson, Annelie, Freeman, Laura E Beane, Beckmann, Matthias W, Benitez, Javier, Bernstein, Leslie, Berrandou, Takiy, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brock, Ian W, Broeks, Annegien, Brooks-Wilson, Angela, Butterbach, Katja, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Cheng, Ting-Yuan David, Clarke, Christine L, Cordina-Duverger, Emilie, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dai, James Y, Dite, Gillian S, Earp, H Shelton, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, Gaudet, Mia M, Giles, Graham G, González-Neira, Anna, Grundy, Anne, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan E, Harkness, Elaine F, Harstad, Tricia, He, Wei, Heyworth, Jane, Hoover, Robert N, Hopper, John L, Humphreys, Keith, Hunter, David J, Marrón, Pablo Isidro, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Krüger, Ute, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, Lo, Wing-Yee, and Makalic, Enes
Subjects: Genetics, Estrogen, Clinical Research, Cancer, Breast Cancer, Prevention, 2.1 Biological and endogenous factors, Aetiology, Alleles, Breast Neoplasms, Case-Control Studies, Europe, Factor XIII, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide, Receptors, Estrogen, Risk Factors, White People, Breast Cancer Association Consortium, Europeans, Gene-environment interaction, breast cancer, epidemiology, risk factors, single nucleotide polymorphism, Statistics, Public Health and Health Services, Epidemiology
Abstract: BackgroundPrevious gene-environment interaction studies of breast cancer risk have provided sparse evidence of interactions. Using the largest available dataset to date, we performed a comprehensive assessment of potential effect modification of 205 common susceptibility variants by 13 established breast cancer risk factors, including replication of previously reported interactions.MethodsAnalyses were performed using 28 176 cases and 32 209 controls genotyped with iCOGS array and 44 109 cases and 48 145 controls genotyped using OncoArray from the Breast Cancer Association Consortium (BCAC). Gene-environment interactions were assessed using unconditional logistic regression and likelihood ratio tests for breast cancer risk overall and by estrogen-receptor (ER) status. Bayesian false discovery probability was used to assess the noteworthiness of the meta-analysed array-specific interactions.ResultsNoteworthy evidence of interaction at ≤1% prior probability was observed for three single nucleotide polymorphism (SNP)-risk factor pairs. SNP rs4442975 was associated with a greater reduction of risk of ER-positive breast cancer [odds ratio (OR)int = 0.85 (0.78-0.93), Pint = 2.8 x 10-4] and overall breast cancer [ORint = 0.85 (0.78-0.92), Pint = 7.4 x 10-5) in current users of estrogen-progesterone therapy compared with non-users. This finding was supported by replication using OncoArray data of the previously reported interaction between rs13387042 (r2 = 0.93 with rs4442975) and current estrogen-progesterone therapy for overall disease (Pint = 0.004). The two other interactions suggested stronger associations between SNP rs6596100 and ER-negative breast cancer with increasing parity and younger age at first birth.ConclusionsOverall, our study does not suggest strong effect modification of common breast cancer susceptibility variants by established risk factors.
Published: 2020

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

Author: Fachal, Laura, Aschard, Hugues, Beesley, Jonathan, Barnes, Daniel R, Allen, Jamie, Kar, Siddhartha, Pooley, Karen A, Dennis, Joe, Michailidou, Kyriaki, Turman, Constance, Soucy, Penny, Lemaçon, Audrey, Lush, Michael, Tyrer, Jonathan P, Ghoussaini, Maya, Moradi Marjaneh, Mahdi, Jiang, Xia, Agata, Simona, Aittomäki, Kristiina, Alonso, M Rosario, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arason, Adalgeir, Arndt, Volker, Aronson, Kristan J, Arun, Banu K, Auber, Bernd, Auer, Paul L, Azzollini, Jacopo, Balmaña, Judith, Barkardottir, Rosa B, Barrowdale, Daniel, Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Białkowska, Katarzyna, Blanco, Amie M, Blomqvist, Carl, Blot, William, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Borg, Ake, Bosse, Kristin, Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Brock, Ian W, Brooks-Wilson, Angela, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Cai, Qiuyin, Caldés, Trinidad, Caligo, Maria A, Camp, Nicola J, Campbell, Ian, Canzian, Federico, Carroll, Jason S, Carter, Brian D, Castelao, Jose E, Chiquette, Jocelyne, Christiansen, Hans, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, GEMO Study Collaborators, EMBRACE Collaborators, Collée, J Margriet, Cornelissen, Sten, Couch, Fergus J, Cox, Angela, Cross, Simon S, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, de la Hoya, Miguel, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Dite, Gillian S, Domchek, Susan M, Dörk, Thilo, Dos-Santos-Silva, Isabel, Droit, Arnaud, Dubois, Stéphane, Dumont, Martine, Duran, Mercedes, Durcan, Lorraine, Dwek, Miriam, Eccles, Diana M, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Fletcher, Olivia, Floris, Giuseppe, and Flyger, Henrik
Subjects: GEMO Study Collaborators, EMBRACE Collaborators, KConFab Investigators, HEBON Investigators, ABCTB Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Bayes Theorem, Risk Factors, Chromosome Mapping, Regulatory Sequences, Nucleic Acid, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Female, Genome-Wide Association Study, Biomarkers, Tumor, Genetic Testing, Prevention, Genetics, Cancer, Breast Cancer, Human Genome, Biotechnology, 2.1 Biological and endogenous factors, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract: Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of those potentially causal variants, using gene expression (expression quantitative trait loci), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways were over-represented among the highest-confidence target genes.
Published: 2020

12. Shared heritability and functional enrichment across six solid cancers.

Author: Jiang, Xia, Finucane, Hilary K, Schumacher, Fredrick R, Schmit, Stephanie L, Tyrer, Jonathan P, Han, Younghun, Michailidou, Kyriaki, Lesseur, Corina, Kuchenbaecker, Karoline B, Dennis, Joe, Conti, David V, Casey, Graham, Gaudet, Mia M, Huyghe, Jeroen R, Albanes, Demetrius, Aldrich, Melinda C, Andrew, Angeline S, Andrulis, Irene L, Anton-Culver, Hoda, Antoniou, Antonis C, Antonenkova, Natalia N, Arnold, Susanne M, Aronson, Kristan J, Arun, Banu K, Bandera, Elisa V, Barkardottir, Rosa B, Barnes, Daniel R, Batra, Jyotsna, Beckmann, Matthias W, Benitez, Javier, Benlloch, Sara, Berchuck, Andrew, Berndt, Sonja I, Bickeböller, Heike, Bien, Stephanie A, Blomqvist, Carl, Boccia, Stefania, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Brauch, Hiltrud, Brenner, Hermann, Brenton, James D, Brook, Mark N, Brunet, Joan, Brunnström, Hans, Buchanan, Daniel D, Burwinkel, Barbara, Butzow, Ralf, Cadoni, Gabriella, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Campbell, Peter T, Cancel-Tassin, Géraldine, Cannon-Albright, Lisa, Campa, Daniele, Caporaso, Neil, Carvalho, André L, Chan, Andrew T, Chang-Claude, Jenny, Chanock, Stephen J, Chen, Chu, Christiani, David C, Claes, Kathleen BM, Claessens, Frank, Clements, Judith, Collée, J Margriet, Correa, Marcia Cruz, Couch, Fergus J, Cox, Angela, Cunningham, Julie M, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, deFazio, Anna, Devilee, Peter, Diez, Orland, Gago-Dominguez, Manuela, Donovan, Jenny L, Dörk, Thilo, Duell, Eric J, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Edlund, Christopher K, Edwards, Digna R Velez, Ellberg, Carolina, Evans, D Gareth, Fasching, Peter A, Ferris, Robert L, Liloglou, Triantafillos, Figueiredo, Jane C, Fletcher, Olivia, Fortner, Renée T, Fostira, Florentia, Franceschi, Silvia, Friedman, Eitan, Gallinger, Steven J, and Ganz, Patricia A
Subjects: Humans, Breast Neoplasms, Colorectal Neoplasms, Ovarian Neoplasms, Head and Neck Neoplasms, Lung Neoplasms, Prostatic Neoplasms, Genetic Predisposition to Disease, Neoplasm Proteins, Case-Control Studies, Smoking, Mental Disorders, Inheritance Patterns, Phenotype, Polymorphism, Single Nucleotide, European Continental Ancestry Group, Female, Male, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Prevention, Cancer, Breast Cancer, Genetics, Rare Diseases, Lung Cancer, Human Genome, Colo-Rectal Cancer, Digestive Diseases, Lung, MD Multidisciplinary
Abstract: Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 × 10-8), breast and ovarian cancer (rg = 0.24, p = 7 × 10-5), breast and lung cancer (rg = 0.18, p =1.5 × 10-6) and breast and colorectal cancer (rg = 0.15, p = 1.1 × 10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.
Published: 2019

13. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.

Author: Mavaddat, Nasim, Michailidou, Kyriaki, Dennis, Joe, Lush, Michael, Fachal, Laura, Lee, Andrew, Tyrer, Jonathan P, Chen, Ting-Huei, Wang, Qin, Bolla, Manjeet K, Yang, Xin, Adank, Muriel A, Ahearn, Thomas, Aittomäki, Kristiina, Allen, Jamie, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Auvinen, Päivi, Barrdahl, Myrto, Beane Freeman, Laura E, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Bremer, Michael, Brenner, Hermann, Brentnall, Adam, Brock, Ian W, Brooks-Wilson, Angela, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Campa, Daniele, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chlebowski, Rowan, Christiansen, Hans, Clarke, Christine L, Collée, J Margriet, Cordina-Duverger, Emilie, Cornelissen, Sten, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dos-Santos-Silva, Isabel, Dumont, Martine, Durcan, Lorraine, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fletcher, Olivia, Flyger, Henrik, Försti, Asta, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Sáenz, José A, Gaudet, Mia M, Georgoulias, Vassilios, Giles, Graham G, Gilyazova, Irina R, Glendon, Gord, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Grenaker Alnæs, Grethe I, Grip, Mervi, Gronwald, Jacek, Grundy, Anne, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, and Hankinson, Susan E
Subjects: ABCTB Investigators, kConFab/AOCS Investigators, NBCS Collaborators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Receptors, Estrogen, Medical History Taking, Risk Assessment, Reproducibility of Results, Age Factors, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Adult, Aged, Aged, 80 and over, Middle Aged, Female, breast, cancer, epidemiology, genetic, polygenic, prediction, risk, score, screening, stratification, Human Genome, Cancer, Genetics, Clinical Research, Prevention, Breast Cancer, Good Health and Well Being, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.
Published: 2019

14. A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer

Author: Wu, Lang, Shi, Wei, Long, Jirong, Guo, Xingyi, Michailidou, Kyriaki, Beesley, Jonathan, Bolla, Manjeet K, Shu, Xiao-Ou, Lu, Yingchang, Cai, Qiuyin, Al-Ejeh, Fares, Rozali, Esdy, Wang, Qin, Dennis, Joe, Li, Bingshan, Zeng, Chenjie, Feng, Helian, Gusev, Alexander, Barfield, Richard T, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Barrdahl, Myrto, Baynes, Caroline, Beckmann, Matthias W, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brinton, Louise, Broberg, Per, Brucker, Sara Y, Burwinkel, Barbara, Caldés, Trinidad, Canzian, Federico, Carter, Brian D, Castelao, J Esteban, Chang-Claude, Jenny, Chen, Xiaoqing, Cheng, Ting-Yuan David, Christiansen, Hans, Clarke, Christine L, NBCS Collaborators, Collée, Margriet, Cornelissen, Sten, Couch, Fergus J, Cox, David, Cox, Angela, Cross, Simon S, Cunningham, Julie M, Czene, Kamila, Daly, Mary B, Devilee, Peter, Doheny, Kimberly F, Dörk, Thilo, dos-Santos-Silva, Isabel, Dumont, Martine, Dwek, Miriam, Eccles, Diana M, Eilber, Ursula, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Fachal, Laura, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, Gaudet, Mia M, Ghoussaini, Maya, Giles, Graham G, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hallberg, Emily, Hamann, Ute, Harrington, Patricia, Hein, Alexander, Hicks, Belynda, Hillemanns, Peter, Hollestelle, Antoinette, Hoover, Robert N, Hopper, John L, and Huang, Guanmengqian
Subjects: Biological Sciences, Genetics, Human Genome, Biotechnology, Prevention, Breast Cancer, Women's Health, Cancer Genomics, Cancer, 2.1 Biological and endogenous factors, Generic health relevance, Breast Neoplasms, Case-Control Studies, Female, Gene Expression, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk, Transcriptome, NBCS Collaborators, kConFab/AOCS Investigators, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: The breast cancer risk variants identified in genome-wide association studies explain only a small fraction of the familial relative risk, and the genes responsible for these associations remain largely unknown. To identify novel risk loci and likely causal genes, we performed a transcriptome-wide association study evaluating associations of genetically predicted gene expression with breast cancer risk in 122,977 cases and 105,974 controls of European ancestry. We used data from the Genotype-Tissue Expression Project to establish genetic models to predict gene expression in breast tissue and evaluated model performance using data from The Cancer Genome Atlas. Of the 8,597 genes evaluated, significant associations were identified for 48 at a Bonferroni-corrected threshold of P
Published: 2018

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

Author: Milne, Roger L, Kuchenbaecker, Karoline B, Michailidou, Kyriaki, Beesley, Jonathan, Kar, Siddhartha, Lindström, Sara, Hui, Shirley, Lemaçon, Audrey, Soucy, Penny, Dennis, Joe, Jiang, Xia, Rostamianfar, Asha, Finucane, Hilary, Bolla, Manjeet K, McGuffog, Lesley, Wang, Qin, Aalfs, Cora M, Adams, Marcia, Adlard, Julian, Agata, Simona, Ahmed, Shahana, Ahsan, Habibul, Aittomäki, Kristiina, Al-Ejeh, Fares, Allen, Jamie, Ambrosone, Christine B, Amos, Christopher I, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Auber, Bernd, Auer, Paul L, Ausems, Margreet GEM, Azzollini, Jacopo, Bacot, François, Balmaña, Judith, Barile, Monica, Barjhoux, Laure, Barkardottir, Rosa B, Barrdahl, Myrto, Barnes, Daniel, Barrowdale, Daniel, Baynes, Caroline, Beckmann, Matthias W, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Bignon, Yves-Jean, Blazer, Kathleen R, Blok, Marinus J, Blomqvist, Carl, Blot, William, Bobolis, Kristie, Boeckx, Bram, Bogdanova, Natalia V, Bojesen, Anders, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Bozsik, Aniko, Bradbury, Angela R, Brand, Judith S, Brauch, Hiltrud, Brenner, Hermann, Bressac-de Paillerets, Brigitte, Brewer, Carole, Brinton, Louise, Broberg, Per, Brooks-Wilson, Angela, Brunet, Joan, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Byun, Jinyoung, Cai, Qiuyin, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Canzian, Federico, Caron, Olivier, Carracedo, Angel, Carter, Brian D, Castelao, J Esteban, Castera, Laurent, Caux-Moncoutier, Virginie, Chan, Salina B, Chang-Claude, Jenny, Chanock, Stephen J, Chen, Xiaoqing, Cheng, Ting-Yuan David, Chiquette, Jocelyne, Christiansen, Hans, Claes, Kathleen BM, Clarke, Christine L, Conner, Thomas, Conroy, Don M, and Cook, Jackie
Subjects: Biological Sciences, Genetics, Cancer, Human Genome, Prevention, Breast Cancer, Aging, Estrogen, 2.1 Biological and endogenous factors, Aetiology, BRCA1 Protein, Breast Neoplasms, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Heterozygote, Humans, Mutation, Polymorphism, Single Nucleotide, Receptors, Estrogen, Risk Factors, White People, ABCTB Investigators, EMBRACE, GEMO Study Collaborators, HEBON, kConFab/AOCS Investigators, NBSC Collaborators, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease. We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin. We identified independent associations at P < 5 × 10-8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1 mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.
Published: 2017

16. Association analysis identifies 65 new breast cancer risk loci

Author: Michailidou, Kyriaki, Lindström, Sara, Dennis, Joe, Beesley, Jonathan, Hui, Shirley, Kar, Siddhartha, Lemaçon, Audrey, Soucy, Penny, Glubb, Dylan, Rostamianfar, Asha, Bolla, Manjeet K, Wang, Qin, Tyrer, Jonathan, Dicks, Ed, Lee, Andrew, Wang, Zhaoming, Allen, Jamie, Keeman, Renske, Eilber, Ursula, French, Juliet D, Qing Chen, Xiao, Fachal, Laura, McCue, Karen, McCart Reed, Amy E, Ghoussaini, Maya, Carroll, Jason S, Jiang, Xia, Finucane, Hilary, Adams, Marcia, Adank, Muriel A, Ahsan, Habibul, Aittomäki, Kristiina, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Arun, Banu, Auer, Paul L, Bacot, François, Barrdahl, Myrto, Baynes, Caroline, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brand, Judith S, Brauch, Hiltrud, Brennan, Paul, Brenner, Hermann, Brinton, Louise, Broberg, Per, Brock, Ian W, Broeks, Annegien, Brooks-Wilson, Angela, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Butterbach, Katja, Cai, Qiuyin, Cai, Hui, Caldés, Trinidad, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chan, Tsun L, David Cheng, Ting-Yuan, Seng Chia, Kee, Choi, Ji-Yeob, Christiansen, Hans, Clarke, Christine L, Collée, Margriet, Conroy, Don M, Cordina-Duverger, Emilie, Cornelissen, Sten, Cox, David G, Cox, Angela, Cross, Simon S, Cunningham, Julie M, Czene, Kamila, Daly, Mary B, Devilee, Peter, Doheny, Kimberly F, Dörk, Thilo, dos-Santos-Silva, Isabel, Dumont, Martine, Durcan, Lorraine, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Elvira, Mingajeva, and Engel, Christoph
Subjects: Cancer, Asia, Asian People, Binding Sites, Breast Neoplasms, Computer Simulation, Europe, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Regulatory Sequences, Nucleic Acid, Risk Assessment, Transcription Factors, White People, NBCS Collaborators, ABCTB Investigators, ConFab/AOCS Investigators, General Science & Technology
Abstract: Breast cancer risk is influenced by rare coding variants in susceptibility genes, such as BRCA1, and many common, mostly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. Here we report the results of a genome-wide association study of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry. We identified 65 new loci that are associated with overall breast cancer risk at P
Published: 2017

17. Evaluating genetic variants associated with breast cancer risk in high and moderate-penetrance genes in Asians

Author: Han, Mi-Ryung, Zheng, Wei, Cai, Qiuyin, Gao, Yu-Tang, Zheng, Ying, Bolla, Manjeet K, Michailidou, Kyriaki, Dennis, Joe, Wang, Qin, Dunning, Alison M, Brennan, Paul, Chen, Shou-Tung, Choi, Ji-Yeob, Hartman, Mikael, Ito, Hidemi, Lophatananon, Artitaya, Matsuo, Keitaro, Miao, Hui, Muir, Kenneth, Sangrajrang, Suleeporn, Shen, Chen-Yang, Teo, Soo Hwang, Tseng, Chiu-chen, Wu, Anna H, Yip, Cheng Har, Kang, Daehee, Xiang, Yong-Bing, Easton, Douglas F, Shu, Xiao-Ou, and Long, Jirong
Subjects: Clinical Research, Breast Cancer, Cancer, Prevention, Genetics, Genetic Testing, 2.1 Biological and endogenous factors, Aetiology, Alleles, Asian People, Breast Neoplasms, Chromosome Mapping, Databases, Genetic, Female, Gene Frequency, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Humans, Penetrance, Polymorphism, Single Nucleotide, Population Surveillance, Risk, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract: Over the past 20 years, high-penetrance pathogenic mutations in genes BRCA1, BRCA2, TP53, PTEN, STK11 and CDH1 and moderate-penetrance mutations in genes CHEK2, ATM, BRIP1, PALB2, RAD51C, RAD50 and NBN have been identified for breast cancer. In this study, we investigated whether there are additional variants in these 13 genes associated with breast cancer among women of Asian ancestry. We analyzed up to 654 single nucleotide polymorphisms (SNPs) from 6269 cases and 6624 controls of Asian descent included in the Breast Cancer Association Consortium (BCAC), and up to 236 SNPs from 5794 cases and 5529 controls included in the Shanghai Breast Cancer Genetics Study (SBCGS). We found three missense variants with minor allele frequency (MAF)
Published: 2017

18. Association of breast cancer risk with genetic variants showing differential allelic expression: Identification of a novel breast cancer susceptibility locus at 4q21

Author: Hamdi, Yosr, Soucy, Penny, Adoue, Véronique, Michailidou, Kyriaki, Canisius, Sander, Lemaçon, Audrey, Droit, Arnaud, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Baynes, Caroline, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Borresen-Dale, Anne-Lise, Brand, Judith S, Brauch, Hiltrud, Brenner, Hermann, Broeks, Annegien, Burwinkel, Barbara, Chang-Claude, Jenny, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Darabi, Hatef, Dennis, Joe, Devilee, Peter, Dörk, Thilo, Dos-Santos-Silva, Isabel, Eriksson, Mikael, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, García-Closas, Montserrat, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Grenaker-Alnæs, Grethe, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Hamann, Ute, Hallberg, Emily, Hooning, Maartje J, Hopper, John L, Jakubowska, Anna, Jones, Michael, Kabisch, Maria, Kataja, Vesa, Lambrechts, Diether, Marchand, Loic Le, Lindblom, Annika, Lubinski, Jan, Mannermaa, Arto, Maranian, Mel, Margolin, Sara, Marme, Frederik, Milne, Roger L, Neuhausen, Susan L, Nevanlinna, Heli, Neven, Patrick, Olswold, Curtis, Peto, Julian, Plaseska-Karanfilska, Dijana, Pylkäs, Katri, Radice, Paolo, Rudolph, Anja, Sawyer, Elinor J, Schmidt, Marjanka K, Shu, Xiao-Ou, Southey, Melissa C, Swerdlow, Anthony, Tollenaar, Rob AEM, Tomlinson, Ian, Torres, Diana, Truong, Thérèse, Vachon, Celine, Van Den Ouweland, Ans MW, Wang, Qin, Winqvist, Robert, Investigators, kConFab AOCS, Zheng, Wei, Benitez, Javier, Chenevix-Trench, Georgia, Dunning, Alison M, Pharoah, Paul DP, Kristensen, Vessela, Hall, Per, Easton, Douglas F, Pastinen, Tomi, Nord, Silje, and Simard, Jacques
Subjects: Human Genome, Cancer, Breast Cancer, Prevention, Genetics, Biotechnology, 2.1 Biological and endogenous factors, Aetiology, Biomarkers, Tumor, Breast Neoplasms, Canada, Carrier Proteins, Case-Control Studies, Chromosomes, Human, Pair 4, DNA Helicases, Europe, Female, Gene Frequency, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Linkage Disequilibrium, Mitochondrial Proteins, Odds Ratio, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Assessment, Risk Factors, breast cancer, genetic susceptibility, association studies, differential allelic expression, cis-regulatory variants, NBCS Collaborators, kConFab/AOCS Investigators, Oncology and Carcinogenesis
Abstract: There are significant inter-individual differences in the levels of gene expression. Through modulation of gene expression, cis-acting variants represent an important source of phenotypic variation. Consequently, cis-regulatory SNPs associated with differential allelic expression are functional candidates for further investigation as disease-causing variants. To investigate whether common variants associated with differential allelic expression were involved in breast cancer susceptibility, a list of genes was established on the basis of their involvement in cancer related pathways and/or mechanisms. Thereafter, using data from a genome-wide map of allelic expression associated SNPs, 313 genetic variants were selected and their association with breast cancer risk was then evaluated in 46,451 breast cancer cases and 42,599 controls of European ancestry ascertained from 41 studies participating in the Breast Cancer Association Consortium. The associations were evaluated with overall breast cancer risk and with estrogen receptor negative and positive disease. One novel breast cancer susceptibility locus on 4q21 (rs11099601) was identified (OR = 1.05, P = 5.6x10-6). rs11099601 lies in a 135 kb linkage disequilibrium block containing several genes, including, HELQ, encoding the protein HEL308 a DNA dependant ATPase and DNA Helicase involved in DNA repair, MRPS18C encoding the Mitochondrial Ribosomal Protein S18C and FAM175A (ABRAXAS), encoding a BRCA1 BRCT domain-interacting protein involved in DNA damage response and double-strand break (DSB) repair. Expression QTL analysis in breast cancer tissue showed rs11099601 to be associated with HELQ (P = 8.28x10-14), MRPS18C (P = 1.94x10-27) and FAM175A (P = 3.83x10-3), explaining about 20%, 14% and 1%, respectively of the variance inexpression of these genes in breast carcinomas.
Published: 2016

19. Evidence that the 5p12 Variant rs10941679 Confers Susceptibility to Estrogen-Receptor-Positive Breast Cancer through FGF10 and MRPS30 Regulation

Author: Ghoussaini, Maya, French, Juliet D, Michailidou, Kyriaki, Nord, Silje, Beesley, Jonathan, Canisus, Sander, Hillman, Kristine M, Kaufmann, Susanne, Sivakumaran, Haran, Marjaneh, Moradi, Lee, Jason S, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Dicks, Ed, Milne, Roger L, Hopper, John L, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A, Beckmann, Matthias W, Fletcher, Olivia, Johnson, Nichola, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Marme, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Flyger, Henrik, Benitez, Javier, González-Neira, Anna, Alonso, M Rosario, Pita, Guillermo, Neuhausen, Susan L, Anton-Culver, Hoda, Brenner, Hermann, Arndt, Volker, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Hamann, Ute, Tessier, Daniel C, Vincent, Daniel, Nevanlinna, Heli, Khan, Sofia, Matsuo, Keitaro, Ito, Hidemi, Dörk, Thilo, Bogdanova, Natalia V, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kosma, Veli-Matti, Investigators, kConFab AOCS, Wu, Anna H, Van Den Berg, David, Lambrechts, Diether, Floris, Giuseppe, Chang-Claude, Jenny, Rudolph, Anja, Radice, Paolo, Barile, Monica, Couch, Fergus J, Hallberg, Emily, Giles, Graham G, Haiman, Christopher A, Le Marchand, Loic, Goldberg, Mark S, Teo, Soo H, Yip, Cheng Har, Borresen-Dale, Anne-Lise, Collaborators, NBCS, Zheng, Wei, Cai, Qiuyin, Winqvist, Robert, Pylkäs, Katri, Andrulis, Irene L, Devilee, Peter, Tollenaar, Rob AEM, García-Closas, Montserrat, Figueroa, Jonine, Hall, Per, Czene, Kamila, Brand, Judith S, Darabi, Hatef, Eriksson, Mikael, Hooning, Maartje J, Koppert, Linetta B, Li, Jingmei, Shu, Xiao-Ou, Zheng, Ying, Cox, Angela, Cross, Simon S, Shah, Mitul, and Rhenius, Valerie
Subjects: Prevention, Genetics, Cancer, Breast Cancer, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Alleles, Breast Neoplasms, Case-Control Studies, Cell Line, Tumor, Chromosomes, Human, Pair 5, Enhancer Elements, Genetic, Fibroblast Growth Factor 10, Genetic Predisposition to Disease, Haplotypes, Humans, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, Quantitative Trait Loci, Receptor, Fibroblast Growth Factor, Type 2, Receptors, Estrogen, kConFab/AOCS Investigators, NBCS Collaborators, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: Genome-wide association studies (GWASs) have revealed increased breast cancer risk associated with multiple genetic variants at 5p12. Here, we report the fine mapping of this locus using data from 104,660 subjects from 50 case-control studies in the Breast Cancer Association Consortium (BCAC). With data for 3,365 genotyped and imputed SNPs across a 1 Mb region (positions 44,394,495-45,364,167; NCBI build 37), we found evidence for at least three independent signals: the strongest signal, consisting of a single SNP rs10941679, was associated with risk of estrogen-receptor-positive (ER+) breast cancer (per-g allele OR ER+ = 1.15; 95% CI 1.13-1.18; p = 8.35 × 10-30). After adjustment for rs10941679, we detected signal 2, consisting of 38 SNPs more strongly associated with ER-negative (ER-) breast cancer (lead SNP rs6864776: per-a allele OR ER- = 1.10; 95% CI 1.05-1.14; p conditional = 1.44 × 10-12), and a single signal 3 SNP (rs200229088: per-t allele OR ER+ = 1.12; 95% CI 1.09-1.15; p conditional = 1.12 × 10-05). Expression quantitative trait locus analysis in normal breast tissues and breast tumors showed that the g (risk) allele of rs10941679 was associated with increased expression of FGF10 and MRPS30. Functional assays demonstrated that SNP rs10941679 maps to an enhancer element that physically interacts with the FGF10 and MRPS30 promoter regions in breast cancer cell lines. FGF10 is an oncogene that binds to FGFR2 and is overexpressed in ∼10% of human breast cancers, whereas MRPS30 plays a key role in apoptosis. These data suggest that the strongest signal of association at 5p12 is mediated through coordinated activation of FGF10 and MRPS30, two candidate genes for breast cancer pathogenesis.
Published: 2016

20. Fine‐scale mapping of 8q24 locus identifies multiple independent risk variants for breast cancer

Author: Shi, Jiajun, Zhang, Yanfeng, Zheng, Wei, Michailidou, Kyriaki, Ghoussaini, Maya, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Milne, Roger L, Shu, Xiao‐Ou, Beesley, Jonathan, Kar, Siddhartha, Andrulis, Irene L, Anton‐Culver, Hoda, Arndt, Volker, Beckmann, Matthias W, Zhao, Zhiguo, Guo, Xingyi, Benitez, Javier, Beeghly‐Fadiel, Alicia, Blot, William, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brinton, Louise, Broeks, Annegien, Brüning, Thomas, Burwinkel, Barbara, Cai, Hui, Canisius, Sander, Chang‐Claude, Jenny, Choi, Ji‐Yeob, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Darabi, Hatef, Devilee, Peter, Droit, Arnaud, Dork, Thilo, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Fostira, Florentia, Gaborieau, Valerie, García‐Closas, Montserrat, Giles, Graham G, Grip, Mervi, Guenel, Pascal, Haiman, Christopher A, Hamann, Ute, Hartman, Mikael, Miao, Hui, Hollestelle, Antoinette, Hopper, John L, Hsiung, Chia‐Ni, Investigators, kConFab, Ito, Hidemi, Jakubowska, Anna, Johnson, Nichola, Torres, Diana, Kabisch, Maria, Kang, Daehee, Khan, Sofia, Knight, Julia A, Kosma, Veli‐Matti, Lambrechts, Diether, Li, Jingmei, Lindblom, Annika, Lophatananon, Artitaya, Lubinski, Jan, Mannermaa, Arto, Manoukian, Siranoush, Le Marchand, Loic, Margolin, Sara, Marme, Frederik, Matsuo, Keitaro, McLean, Catriona, Meindl, Alfons, Muir, Kenneth, Neuhausen, Susan L, Nevanlinna, Heli, Nord, Silje, Børresen‐Dale, Anne‐Lise, Olson, Janet E, Orr, Nick, van den Ouweland, Ans MW, Peterlongo, Paolo, Putti, Thomas Choudary, Rudolph, Anja, Sangrajrang, Suleeporn, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Shen, Chen‐Yang, Hou, Ming‐Feng, Shrubsole, Matha J, and Southey, Melissa C
Subjects: Genetics, Cancer, Breast Cancer, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Alleles, Breast Neoplasms, Case-Control Studies, Chromosome Mapping, Chromosomes, Human, Pair 8, Female, Genetic Variation, Genome-Wide Association Study, Genotype, Haplotypes, Humans, Linkage Disequilibrium, Odds Ratio, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk, White People, breast cancer, genetic susceptibility, 8q24, fine-mapping, single nucleotide polymorphism, Mervi Grip, kConFab Investigators, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract: Previous genome-wide association studies among women of European ancestry identified two independent breast cancer susceptibility loci represented by single nucleotide polymorphisms (SNPs) rs13281615 and rs11780156 at 8q24. A fine-mapping study across 2.06 Mb (chr8:127,561,724-129,624,067, hg19) in 55,540 breast cancer cases and 51,168 controls within the Breast Cancer Association Consortium was conducted. Three additional independent association signals in women of European ancestry, represented by rs35961416 (OR = 0.95, 95% CI = 0.93-0.97, conditional p = 5.8 × 10(-6) ), rs7815245 (OR = 0.94, 95% CI = 0.91-0.96, conditional p = 1.1 × 10(-6) ) and rs2033101 (OR = 1.05, 95% CI = 1.02-1.07, conditional p = 1.1 × 10(-4) ) were found. Integrative analysis using functional genomic data from the Roadmap Epigenomics, the Encyclopedia of DNA Elements project, the Cancer Genome Atlas and other public resources implied that SNPs rs7815245 in Signal 3, and rs1121948 in Signal 5 (in linkage disequilibrium with rs11780156, r(2) = 0.77), were putatively functional variants for two of the five independent association signals. The results highlighted multiple 8q24 variants associated with breast cancer susceptibility in women of European ancestry.
Published: 2016

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

Author: Lawrenson, Kate, Kar, Siddhartha, McCue, Karen, Kuchenbaeker, Karoline, Michailidou, Kyriaki, Tyrer, Jonathan, Beesley, Jonathan, Ramus, Susan J, Li, Qiyuan, Delgado, Melissa K, Lee, Janet M, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Arun, Banu K, Arver, Brita, Bandera, Elisa V, Barile, Monica, Barkardottir, Rosa B, Barrowdale, Daniel, Beckmann, Matthias W, Benitez, Javier, Berchuck, Andrew, Bisogna, Maria, Bjorge, Line, Blomqvist, Carl, Blot, William, Bogdanova, Natalia, Bojesen, Anders, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brennan, Paul, Brenner, Hermann, Bruinsma, Fiona, Brunet, Joan, Buhari, Shaik Ahmad, Burwinkel, Barbara, Butzow, Ralf, Buys, Saundra S, Cai, Qiuyin, Caldes, Trinidad, Campbell, Ian, Canniotto, Rikki, Chang-Claude, Jenny, Chiquette, Jocelyne, Choi, Ji-Yeob, Claes, Kathleen BM, GEMO Study Collaborators, Cook, Linda S, Cox, Angela, Cramer, Daniel W, Cross, Simon S, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, Damiola, Francesca, Dansonka-Mieszkowska, Agnieszka, Darabi, Hatef, Dennis, Joe, Devilee, Peter, Diez, Orland, Doherty, Jennifer A, Domchek, Susan M, Dorfling, Cecilia M, Dörk, Thilo, Dumont, Martine, Ehrencrona, Hans, Ejlertsen, Bent, Ellis, Steve, EMBRACE, Engel, Christoph, Lee, Eunjung, Evans, D Gareth, Fasching, Peter A, Feliubadalo, Lidia, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Foretova, Lenka, Fostira, Florentia, Foulkes, William D, Fridley, Brooke L, Friedman, Eitan, Frost, Debra, Gambino, Gaetana, Ganz, Patricia A, Garber, Judy, García-Closas, Montserrat, Gentry-Maharaj, Aleksandra, Ghoussaini, Maya, Giles, Graham G, Glasspool, Rosalind, Godwin, Andrew K, Goldberg, Mark S, and Goldgar, David E
Subjects: GEMO Study Collaborators, EMBRACE, Hereditary Breast and Ovarian Cancer Research Group Netherlands, KConFab Investigators, Australian Ovarian Cancer Study Group, Chromosomes, Human, Pair 19, Humans, Breast Neoplasms, Ovarian Neoplasms, Genetic Predisposition to Disease, RNA, Messenger, Genotype, Polymorphism, Single Nucleotide, Alleles, African Continental Ancestry Group, Asian Continental Ancestry Group, Female, Genome-Wide Association Study, Chromosomes, Human, Pair 19, RNA, Messenger, Polymorphism, Single Nucleotide, Prevention, Breast Cancer, Ovarian Cancer, Cancer, Rare Diseases, Genetics, 2.1 Biological and endogenous factors
Abstract: A locus at 19p13 is associated with breast cancer (BC) and ovarian cancer (OC) risk. Here we analyse 438 SNPs in this region in 46,451 BC and 15,438 OC cases, 15,252 BRCA1 mutation carriers and 73,444 controls and identify 13 candidate causal SNPs associated with serous OC (P=9.2 × 10(-20)), ER-negative BC (P=1.1 × 10(-13)), BRCA1-associated BC (P=7.7 × 10(-16)) and triple negative BC (P-diff=2 × 10(-5)). Genotype-gene expression associations are identified for candidate target genes ANKLE1 (P=2 × 10(-3)) and ABHD8 (P
Published: 2016

22. Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Kar, Siddhartha P, Beesley, Jonathan, Olama, Ali Amin Al, Michailidou, Kyriaki, Tyrer, Jonathan, Kote-Jarai, ZSofia, Lawrenson, Kate, Lindstrom, Sara, Ramus, Susan J, Thompson, Deborah J, Investigators, ABCTB, Kibel, Adam S, Dansonka-Mieszkowska, Agnieszka, Michael, Agnieszka, Dieffenbach, Aida K, Gentry-Maharaj, Aleksandra, Whittemore, Alice S, Wolk, Alicja, Monteiro, Alvaro, Peixoto, Ana, Kierzek, Andrzej, Cox, Angela, Rudolph, Anja, Gonzalez-Neira, Anna, Wu, Anna H, Lindblom, Annika, Swerdlow, Anthony, Study, AOCS Study Group amp Australian Cancer, BioResource, APCB, Ziogas, Argyrios, Ekici, Arif B, Burwinkel, Barbara, Karlan, Beth Y, Nordestgaard, Børge G, Blomqvist, Carl, Phelan, Catherine, McLean, Catriona, Pearce, Celeste Leigh, Vachon, Celine, Cybulski, Cezary, Slavov, Chavdar, Stegmaier, Christa, Maier, Christiane, Ambrosone, Christine B, Høgdall, Claus K, Teerlink, Craig C, Kang, Daehee, Tessier, Daniel C, Schaid, Daniel J, Stram, Daniel O, Cramer, Daniel W, Neal, David E, Eccles, Diana, Flesch-Janys, Dieter, Edwards, Digna R Velez, Wokozorczyk, Dominika, Levine, Douglas A, Yannoukakos, Drakoulis, Sawyer, Elinor J, Bandera, Elisa V, Poole, Elizabeth M, Goode, Ellen L, Khusnutdinova, Elza, Høgdall, Estrid, Song, Fengju, Bruinsma, Fiona, Heitz, Florian, Modugno, Francesmary, Hamdy, Freddie C, Wiklund, Fredrik, Giles, Graham G, Olsson, Håkan, Wildiers, Hans, Ulmer, Hans-Ulrich, Pandha, Hardev, Risch, Harvey A, Darabi, Hatef, Salvesen, Helga B, Nevanlinna, Heli, Gronberg, Henrik, Brenner, Hermann, Brauch, Hiltrud, Anton-Culver, Hoda, Song, Honglin, Lim, Hui-Yi, McNeish, Iain, Campbell, Ian, Vergote, Ignace, Gronwald, Jacek, Lubiński, Jan, Stanford, Janet L, Benítez, Javier, Doherty, Jennifer A, Permuth, Jennifer B, Chang-Claude, Jenny, Donovan, Jenny L, Dennis, Joe, Schildkraut, Joellen M, Schleutker, Johanna, and Hopper, John L
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Breast Cancer, Aging, Urologic Diseases, Prostate Cancer, Ovarian Cancer, Rare Diseases, Human Genome, Cancer, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Case-Control Studies, Chromosome Mapping, Datasets as Topic, Enhancer Elements, Genetic, Female, Gene Regulatory Networks, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Organ Specificity, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Quantitative Trait Loci, Signal Transduction, ABCTB Investigators, AOCS Study Group & Australian Cancer Study, APCB BioResource, kConFab Investigators, NBCS Investigators, GENICA Network, PRACTICAL consortium, Biochemistry and cell biology, Oncology and carcinogenesis
Abstract: UnlabelledBreast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10(-8) seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type-specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10(-5) in the three-cancer meta-analysis.SignificanceWe demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers. Cancer Discov; 6(9); 1052-67. ©2016 AACR.This article is highlighted in the In This Issue feature, p. 932.
Published: 2016

23. Genetically Predicted Body Mass Index and Breast Cancer Risk: Mendelian Randomization Analyses of Data from 145,000 Women of European Descent.

Author: Guo, Yan, Warren Andersen, Shaneda, Shu, Xiao-Ou, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Garcia-Closas, Montserrat, Milne, Roger L, Schmidt, Marjanka K, Chang-Claude, Jenny, Dunning, Allison, Bojesen, Stig E, Ahsan, Habibul, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bogdanova, Natalia V, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brand, Judith, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Burwinkel, Barbara, Casey, Graham, Chenevix-Trench, Georgia, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Devilee, Peter, Dörk, Thilo, Dumont, Martine, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Fostira, Florentia, Gammon, Marilie, Giles, Graham G, Guénel, Pascal, Haiman, Christopher A, Hamann, Ute, Hooning, Maartje J, Hopper, John L, Jakubowska, Anna, Jasmine, Farzana, Jenkins, Mark, John, Esther M, Johnson, Nichola, Jones, Michael E, Kabisch, Maria, Kibriya, Muhammad, Knight, Julia A, Koppert, Linetta B, Kosma, Veli-Matti, Kristensen, Vessela, Le Marchand, Loic, Lee, Eunjung, Li, Jingmei, Lindblom, Annika, Luben, Robert, Lubinski, Jan, Malone, Kathi E, Mannermaa, Arto, Margolin, Sara, Marme, Frederik, McLean, Catriona, Meijers-Heijboer, Hanne, Meindl, Alfons, Neuhausen, Susan L, Nevanlinna, Heli, Neven, Patrick, Olson, Janet E, Perez, Jose IA, Perkins, Barbara, Peterlongo, Paolo, Phillips, Kelly-Anne, Pylkäs, Katri, Rudolph, Anja, Santella, Regina, Sawyer, Elinor J, Schmutzler, Rita K, Seynaeve, Caroline, Shah, Mitul, Shrubsole, Martha J, Southey, Melissa C, Swerdlow, Anthony J, Toland, Amanda E, Tomlinson, Ian, Torres, Diana, Truong, Thérèse, Ursin, Giske, Van Der Luijt, Rob B, and Verhoef, Senno
Subjects: Humans, Breast Neoplasms, Genetic Predisposition to Disease, Body Mass Index, Models, Statistical, Risk Factors, Menopause, Polymorphism, Single Nucleotide, Middle Aged, European Continental Ancestry Group, Female, Mendelian Randomization Analysis, Models, Statistical, Polymorphism, Single Nucleotide, Genetics, Prevention, Breast Cancer, Nutrition, Clinical Research, Cancer, Aging, Human Genome, 2.1 Biological and endogenous factors, General & Internal Medicine, Medical and Health Sciences
Abstract: BackgroundObservational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or environmental factors.MethodsWe applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated genetically predicted BMI in association with breast cancer risk using individual-level data from the Breast Cancer Association Consortium (BCAC) (cases = 46,325, controls = 42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from 16,003 cases and 41,335 controls from the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Project. Because most studies measured BMI after cancer diagnosis, we could not conduct a parallel analysis to adequately evaluate the association of measured BMI with breast cancer risk prospectively.ResultsIn the BCAC data, genetically predicted BMI was found to be inversely associated with breast cancer risk (odds ratio [OR] = 0.65 per 5 kg/m2 increase, 95% confidence interval [CI]: 0.56-0.75, p = 3.32 × 10-10). The associations were similar for both premenopausal (OR = 0.44, 95% CI:0.31-0.62, p = 9.91 × 10-8) and postmenopausal breast cancer (OR = 0.57, 95% CI: 0.46-0.71, p = 1.88 × 10-8). This association was replicated in the data from the DRIVE consortium (OR = 0.72, 95% CI: 0.60-0.84, p = 1.64 × 10-7). Single marker analyses identified 17 of the 84 BMI-associated single nucleotide polymorphisms (SNPs) in association with breast cancer risk at p
Published: 2016

24. Association of genetic susceptibility variants for type 2 diabetes with breast cancer risk in women of European ancestry

Author: Zhao, Zhiguo, Wen, Wanqing, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Zhang, Ben, Long, Jirong, Shu, Xiao-Ou, Schmidt, Marjanka K, Milne, Roger L, García-Closas, Montserrat, Chang-Claude, Jenny, Lindstrom, Sara, Bojesen, Stig E, Ahsan, Habibul, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Blomqvist, Carl, Bogdanova, Natalia V, Børresen-Dale, Anne-Lise, Brand, Judith, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Cai, Qiuyin, Casey, Graham, Chenevix-Trench, Georgia, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dörk, Thilo, Dumont, Martine, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Fostira, Florentia, Gammon, Marilie, Giles, Graham G, Guénel, Pascal, Haiman, Christopher A, Hamann, Ute, Harrington, Patricia, Hartman, Mikael, Hooning, Maartje J, Hopper, John L, Jakubowska, Anna, Jasmine, Farzana, John, Esther M, Johnson, Nichola, Kabisch, Maria, Khan, Sofia, Kibriya, Muhammad, Knight, Julia A, Kosma, Veli-Matti, Kriege, Mieke, Kristensen, Vessela, Le Marchand, Loic, Lee, Eunjung, Li, Jingmei, Lindblom, Annika, Lophatananon, Artitaya, Luben, Robert, Lubinski, Jan, Malone, Kathleen E, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Marme, Frederik, McLean, Catriona, Meijers-Heijboer, Hanne, Meindl, Alfons, Miao, Hui, Muir, Kenneth, Neuhausen, Susan L, Nevanlinna, Heli, Neven, Patrick, Olson, Janet E, Perkins, Barbara, Peterlongo, Paolo, Phillips, Kelly-Anne, Pylkäs, Katri, Rudolph, Anja, Santella, Regina, Sawyer, Elinor J, Schmutzler, Rita K, Schoemaker, Minouk, Shah, Mitul, Shrubsole, Martha, Southey, Melissa C, Swerdlow, Anthony J, Toland, Amanda E, and Tomlinson, Ian
Subjects: Genetics, Breast Cancer, Prevention, Diabetes, Aging, Cancer, Clinical Research, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Case-Control Studies, Diabetes Mellitus, Type 2, Ethnicity, Female, Genetic Predisposition to Disease, Genetic Variation, Humans, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Risk Factors, White People, Type 2 diabetes, Genetic susceptibility, GWAS, Breast cancer, Epidemiology, Oncology and Carcinogenesis, Public Health and Health Services
Abstract: PurposeType 2 diabetes (T2D) has been reported to be associated with an elevated risk of breast cancer. It is unclear, however, whether this association is due to shared genetic factors.MethodsWe constructed a genetic risk score (GRS) using risk variants from 33 known independent T2D susceptibility loci and evaluated its relation to breast cancer risk using the data from two consortia, including 62,328 breast cancer patients and 83,817 controls of European ancestry. Unconditional logistic regression models were used to derive adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) to measure the association of breast cancer risk with T2D GRS or T2D-associated genetic risk variants. Meta-analyses were conducted to obtain summary ORs across all studies.ResultsThe T2D GRS was not found to be associated with breast cancer risk, overall, by menopausal status, or for estrogen receptor positive or negative breast cancer. Three T2D associated risk variants were individually associated with breast cancer risk after adjustment for multiple comparisons using the Bonferroni method (at p < 0.001), rs9939609 (FTO) (OR 0.94, 95 % CI = 0.92-0.95, p = 4.13E-13), rs7903146 (TCF7L2) (OR 1.04, 95 % CI = 1.02-1.06, p = 1.26E-05), and rs8042680 (PRC1) (OR 0.97, 95 % CI = 0.95-0.99, p = 8.05E-04).ConclusionsWe have shown that several genetic risk variants were associated with the risk of both T2D and breast cancer. However, overall genetic susceptibility to T2D may not be related to breast cancer risk.
Published: 2016

25. 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

26. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170.

Author: Dunning, Alison M, Michailidou, Kyriaki, Kuchenbaecker, Karoline B, Thompson, Deborah, French, Juliet D, Beesley, Jonathan, Healey, Catherine S, Kar, Siddhartha, Pooley, Karen A, Lopez-Knowles, Elena, Dicks, Ed, Barrowdale, Daniel, Sinnott-Armstrong, Nicholas A, Sallari, Richard C, Hillman, Kristine M, Kaufmann, Susanne, Sivakumaran, Haran, Moradi Marjaneh, Mahdi, Lee, Jason S, Hills, Margaret, Jarosz, Monika, Drury, Suzie, Canisius, Sander, Bolla, Manjeet K, Dennis, Joe, Wang, Qin, Hopper, John L, Southey, Melissa C, Broeks, Annegien, Schmidt, Marjanka K, Lophatananon, Artitaya, Muir, Kenneth, Beckmann, Matthias W, Fasching, Peter A, Dos-Santos-Silva, Isabel, Peto, Julian, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Marme, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Flyger, Henrik, González-Neira, Anna, Perez, Jose IA, Anton-Culver, Hoda, Eunjung, Lee, Arndt, Volker, Brenner, Hermann, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Hamann, Ute, Aittomäki, Kristiina, Blomqvist, Carl, Ito, Hidemi, Matsuo, Keitaro, Bogdanova, Natasha, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Kosma, Veli-Matti, Mannermaa, Arto, Tseng, Chiu-Chen, Wu, Anna H, Lambrechts, Diether, Wildiers, Hans, Chang-Claude, Jenny, Rudolph, Anja, Peterlongo, Paolo, Radice, Paolo, Olson, Janet E, Giles, Graham G, Milne, Roger L, Haiman, Christopher A, Henderson, Brian E, Goldberg, Mark S, Teo, Soo H, Yip, Cheng Har, Nord, Silje, Borresen-Dale, Anne-Lise, Kristensen, Vessela, Long, Jirong, Zheng, Wei, Pylkäs, Katri, Winqvist, Robert, Andrulis, Irene L, Knight, Julia A, Devilee, Peter, Seynaeve, Caroline, Figueroa, Jonine, Sherman, Mark E, Czene, Kamila, Darabi, Hatef, Hollestelle, Antoinette, van den Ouweland, Ans MW, Humphreys, Keith, Gao, Yu-Tang, and Shu, Xiao-Ou
Subjects: EMBRACE, GEMO Study Collaborators, HEBON, kConFab Investigators, Chromosomes, Human, Pair 6, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Carrier Proteins, Cell Cycle Proteins, Estrogen Receptor alpha, Risk Factors, Gene Expression, Gene Expression Regulation, Neoplastic, Base Sequence, Protein Binding, Phenotype, Polymorphism, Single Nucleotide, Female, Genetic Association Studies, Cancer, Clinical Research, Breast Cancer, Genetics, Aetiology, 2.1 Biological and endogenous factors, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract: We analyzed 3,872 common genetic variants across the ESR1 locus (encoding estrogen receptor α) in 118,816 subjects from three international consortia. We found evidence for at least five independent causal variants, each associated with different phenotype sets, including estrogen receptor (ER(+) or ER(-)) and human ERBB2 (HER2(+) or HER2(-)) tumor subtypes, mammographic density and tumor grade. The best candidate causal variants for ER(-) tumors lie in four separate enhancer elements, and their risk alleles reduce expression of ESR1, RMND1 and CCDC170, whereas the risk alleles of the strongest candidates for the remaining independent causal variant disrupt a silencer element and putatively increase ESR1 and RMND1 expression.
Published: 2016

27. CYP19A1 fine-mapping and Mendelian randomization: estradiol is causal for endometrial cancer

Author: Thompson, Deborah J, O'Mara, Tracy A, Glubb, Dylan M, Painter, Jodie N, Cheng, Timothy, Folkerd, Elizabeth, Doody, Deborah, Dennis, Joe, Webb, Penelope M, Gorman, Maggie, Martin, Lynn, Hodgson, Shirley, Michailidou, Kyriaki, Tyrer, Jonathan P, Maranian, Mel J, Hall, Per, Czene, Kamila, Darabi, Hatef, Li, Jingmei, Fasching, Peter A, Hein, Alexander, Beckmann, Matthias W, Ekici, Arif B, Dörk, Thilo, Hillemanns, Peter, Dürst, Matthias, Runnebaum, Ingo, Zhao, Hui, Depreeuw, Jeroen, Schrauwen, Stefanie, Amant, Frederic, Goode, Ellen L, Fridley, Brooke L, Dowdy, Sean C, Winham, Stacey J, Salvesen, Helga B, Trovik, Jone, Njolstad, Tormund S, Werner, Henrica MJ, Ashton, Katie, Proietto, Tony, Otton, Geoffrey, Carvajal-Carmona, Luis, Tham, Emma, Liu, Tao, Mints, Miriam, Scott, Rodney J, McEvoy, Mark, Attia, John, Holliday, Elizabeth G, Montgomery, Grant W, Martin, Nicholas G, Nyholt, Dale R, Henders, Anjali K, Hopper, John L, Traficante, Nadia, Ruebner, Matthias, Swerdlow, Anthony J, Burwinkel, Barbara, Brenner, Hermann, Meindl, Alfons, Brauch, Hiltrud, Lindblom, Annika, Lambrechts, Diether, Chang-Claude, Jenny, Couch, Fergus J, Giles, Graham G, Kristensen, Vessela N, Cox, Angela, Bolla, Manjeet K, Wang, Qin, Bojesen, Stig E, Shah, Mitul, Luben, Robert, Khaw, Kay-Tee, Pharoah, Paul DP, Dunning, Alison M, Tomlinson, Ian, Dowsett, Mitch, Easton, Douglas F, and Spurdle, Amanda B
Subjects: Uterine Cancer, Genetics, Cancer, Prevention, Aging, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Age Factors, Alleles, Aromatase, Body Mass Index, Case-Control Studies, Endometrial Neoplasms, Estradiol, Female, Gene-Environment Interaction, Genetic Association Studies, Genetic Predisposition to Disease, Genotype, Humans, Phenotype, Polymorphism, Single Nucleotide, endometrial cancer, CYP19A1, estradiol, Australian National Endometrial Cancer Study Group, National Study of Endometrial Cancer Genetics Group, for RENDOCAS, AOCS Group, Biological Sciences, Medical and Health Sciences, Oncology & Carcinogenesis
Abstract: Candidate gene studies have reported CYP19A1 variants to be associated with endometrial cancer and with estradiol (E2) concentrations. We analyzed 2937 single nucleotide polymorphisms (SNPs) in 6608 endometrial cancer cases and 37 925 controls and report the first genome wide-significant association between endometrial cancer and a CYP19A1 SNP (rs727479 in intron 2, P=4.8×10(-11)). SNP rs727479 was also among those most strongly associated with circulating E2 concentrations in 2767 post-menopausal controls (P=7.4×10(-8)). The observed endometrial cancer odds ratio per rs727479 A-allele (1.15, CI=1.11-1.21) is compatible with that predicted by the observed effect on E2 concentrations (1.09, CI=1.03-1.21), consistent with the hypothesis that endometrial cancer risk is driven by E2. From 28 candidate-causal SNPs, 12 co-located with three putative gene-regulatory elements and their risk alleles associated with higher CYP19A1 expression in bioinformatical analyses. For both phenotypes, the associations with rs727479 were stronger among women with a higher BMI (Pinteraction=0.034 and 0.066 respectively), suggesting a biologically plausible gene-environment interaction.
Published: 2016

28. 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

29. Fine-Mapping of the 1p11.2 Breast Cancer Susceptibility Locus.

Author: Horne, Hisani N, Chung, Charles C, Zhang, Han, Yu, Kai, Prokunina-Olsson, Ludmila, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Hopper, John L, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A, Beckmann, Matthias W, Fletcher, Olivia, Johnson, Nichola, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Marme, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Flyger, Henrik, Benitez, Javier, González-Neira, Anna, Anton-Culver, Hoda, Neuhausen, Susan L, Brenner, Hermann, Arndt, Volker, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Hamann, Ute, Nevanlinna, Heli, Khan, Sofia, Matsuo, Keitaro, Iwata, Hiroji, Dörk, Thilo, Bogdanova, Natalia V, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kosma, Veli-Matti, Chenevix-Trench, Georgia, kConFab/AOCS Investigators, Wu, Anna H, Ven den Berg, David, Smeets, Ann, Zhao, Hui, Chang-Claude, Jenny, Rudolph, Anja, Radice, Paolo, Barile, Monica, Couch, Fergus J, Vachon, Celine, Giles, Graham G, Milne, Roger L, Haiman, Christopher A, Marchand, Loic Le, Goldberg, Mark S, Teo, Soo H, Taib, Nur AM, Kristensen, Vessela, Borresen-Dale, Anne-Lise, Zheng, Wei, Shrubsole, Martha, Winqvist, Robert, Jukkola-Vuorinen, Arja, Andrulis, Irene L, Knight, Julia A, Devilee, Peter, Seynaeve, Caroline, García-Closas, Montserrat, Czene, Kamila, Darabi, Hatef, Hollestelle, Antoinette, Martens, John WM, Li, Jingmei, Lu, Wei, Shu, Xiao-Ou, Cox, Angela, Cross, Simon S, Blot, William, Cai, Qiuyin, Shah, Mitul, Luccarini, Craig, Baynes, Caroline, Harrington, Patricia, Kang, Daehee, Choi, Ji-Yeob, Hartman, Mikael, Chia, Kee Seng, Kabisch, Maria, Torres, Diana, Jakubowska, Anna, and Lubinski, Jan
Subjects: kConFab/AOCS Investigators, Chromosomes, Human, Pair 1, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Population Surveillance, Risk Assessment, Case-Control Studies, Chromosome Mapping, Computational Biology, Gene Frequency, Genotype, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Alleles, Quantitative Trait Loci, Female, Genetic Association Studies, Neoplasm Grading, General Science & Technology
Abstract: The Cancer Genetic Markers of Susceptibility genome-wide association study (GWAS) originally identified a single nucleotide polymorphism (SNP) rs11249433 at 1p11.2 associated with breast cancer risk. To fine-map this locus, we genotyped 92 SNPs in a 900kb region (120,505,799-121,481,132) flanking rs11249433 in 45,276 breast cancer cases and 48,998 controls of European, Asian and African ancestry from 50 studies in the Breast Cancer Association Consortium. Genotyping was done using iCOGS, a custom-built array. Due to the complicated nature of the region on chr1p11.2: 120,300,000-120,505,798, that lies near the centromere and contains seven duplicated genomic segments, we restricted analyses to 429 SNPs excluding the duplicated regions (42 genotyped and 387 imputed). Per-allelic associations with breast cancer risk were estimated using logistic regression models adjusting for study and ancestry-specific principal components. The strongest association observed was with the original identified index SNP rs11249433 (minor allele frequency (MAF) 0.402; per-allele odds ratio (OR) = 1.10, 95% confidence interval (CI) 1.08-1.13, P = 1.49 x 10-21). The association for rs11249433 was limited to ER-positive breast cancers (test for heterogeneity P≤8.41 x 10-5). Additional analyses by other tumor characteristics showed stronger associations with moderately/well differentiated tumors and tumors of lobular histology. Although no significant eQTL associations were observed, in silico analyses showed that rs11249433 was located in a region that is likely a weak enhancer/promoter. Fine-mapping analysis of the 1p11.2 breast cancer susceptibility locus confirms this region to be limited to risk to cancers that are ER-positive.
Published: 2016

30. RAD51B in Familial Breast Cancer.

Author: Pelttari, Liisa M, Khan, Sofia, Vuorela, Mikko, Kiiski, Johanna I, Vilske, Sara, Nevanlinna, Viivi, Ranta, Salla, Schleutker, Johanna, Winqvist, Robert, Kallioniemi, Anne, Dörk, Thilo, Bogdanova, Natalia V, Figueroa, Jonine, Pharoah, Paul DP, Schmidt, Marjanka K, Dunning, Alison M, García-Closas, Montserrat, Bolla, Manjeet K, Dennis, Joe, Michailidou, Kyriaki, Wang, Qin, Hopper, John L, Southey, Melissa C, Rosenberg, Efraim H, Fasching, Peter A, Beckmann, Matthias W, Peto, Julian, Dos-Santos-Silva, Isabel, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Surowy, Harald, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Nordestgaard, Børge G, Benitez, Javier, González-Neira, Anna, Neuhausen, Susan L, Anton-Culver, Hoda, Brenner, Hermann, Arndt, Volker, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Brüning, Thomas, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Hartikainen, Jaana M, Chenevix-Trench, Georgia, kConFab/AOCS Investigators, Van Dyck, Laurien, Janssen, Hilde, Chang-Claude, Jenny, Rudolph, Anja, Radice, Paolo, Peterlongo, Paolo, Hallberg, Emily, Olson, Janet E, Giles, Graham G, Milne, Roger L, Haiman, Christopher A, Schumacher, Fredrick, Simard, Jacques, Dumont, Martine, Kristensen, Vessela, Borresen-Dale, Anne-Lise, Zheng, Wei, Beeghly-Fadiel, Alicia, Grip, Mervi, Andrulis, Irene L, Glendon, Gord, Devilee, Peter, Seynaeve, Caroline, Hooning, Maartje J, Collée, Margriet, Cox, Angela, Cross, Simon S, Shah, Mitul, Luben, Robert N, Hamann, Ute, Torres, Diana, Jakubowska, Anna, Lubinski, Jan, Couch, Fergus J, Yannoukakos, Drakoulis, Orr, Nick, Swerdlow, Anthony, Darabi, Hatef, Li, Jingmei, Czene, Kamila, Hall, Per, Easton, Douglas F, Mattson, Johanna, Blomqvist, Carl, Aittomäki, Kristiina, and Nevanlinna, Heli
Subjects: kConFab/AOCS Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, DNA-Binding Proteins, Haplotypes, Heterozygote, Mutation, Missense, Polymorphism, Single Nucleotide, Middle Aged, Finland, Female, Male, Genotyping Techniques, General Science & Technology
Abstract: Common variation on 14q24.1, close to RAD51B, has been associated with breast cancer: rs999737 and rs2588809 with the risk of female breast cancer and rs1314913 with the risk of male breast cancer. The aim of this study was to investigate the role of RAD51B variants in breast cancer predisposition, particularly in the context of familial breast cancer in Finland. We sequenced the coding region of RAD51B in 168 Finnish breast cancer patients from the Helsinki region for identification of possible recurrent founder mutations. In addition, we studied the known rs999737, rs2588809, and rs1314913 SNPs and RAD51B haplotypes in 44,791 breast cancer cases and 43,583 controls from 40 studies participating in the Breast Cancer Association Consortium (BCAC) that were genotyped on a custom chip (iCOGS). We identified one putatively pathogenic missense mutation c.541C>T among the Finnish cancer patients and subsequently genotyped the mutation in additional breast cancer cases (n = 5259) and population controls (n = 3586) from Finland and Belarus. No significant association with breast cancer risk was seen in the meta-analysis of the Finnish datasets or in the large BCAC dataset. The association with previously identified risk variants rs999737, rs2588809, and rs1314913 was replicated among all breast cancer cases and also among familial cases in the BCAC dataset. The most significant association was observed for the haplotype carrying the risk-alleles of all the three SNPs both among all cases (odds ratio (OR): 1.15, 95% confidence interval (CI): 1.11-1.19, P = 8.88 x 10-16) and among familial cases (OR: 1.24, 95% CI: 1.16-1.32, P = 6.19 x 10-11), compared to the haplotype with the respective protective alleles. Our results suggest that loss-of-function mutations in RAD51B are rare, but common variation at the RAD51B region is significantly associated with familial breast cancer risk.
Published: 2016

31. Meta-analysis of genome-wide association studies identifies common susceptibility polymorphisms for colorectal and endometrial cancer near SH2B3 and TSHZ1.

Author: Cheng, Timothy HT, Thompson, Deborah, Painter, Jodie, O'Mara, Tracy, Gorman, Maggie, Martin, Lynn, Palles, Claire, Jones, Angela, Buchanan, Daniel D, Win, Aung Ko, Hopper, John, Jenkins, Mark, Lindor, Noralane M, Newcomb, Polly A, Gallinger, Steve, Conti, David, Schumacher, Fred, Casey, Graham, Giles, Graham G, Pharoah, Paul, Peto, Julian, Cox, Angela, Swerdlow, Anthony, Couch, Fergus, Cunningham, Julie M, Goode, Ellen L, Winham, Stacey J, Lambrechts, Diether, Fasching, Peter, Burwinkel, Barbara, Brenner, Hermann, Brauch, Hiltrud, Chang-Claude, Jenny, Salvesen, Helga B, Kristensen, Vessela, Darabi, Hatef, Li, Jingmei, Liu, Tao, Lindblom, Annika, Hall, Per, de Polanco, Magdalena Echeverry, Sans, Monica, Carracedo, Angel, Castellvi-Bel, Sergi, Rojas-Martinez, Augusto, Aguiar Jnr, Samuel, Teixeira, Manuel R, Dunning, Alison M, Dennis, Joe, Otton, Geoffrey, Proietto, Tony, Holliday, Elizabeth, Attia, John, Ashton, Katie, Scott, Rodney J, McEvoy, Mark, Dowdy, Sean C, Fridley, Brooke L, Werner, Henrica MJ, Trovik, Jone, Njolstad, Tormund S, Tham, Emma, Mints, Miriam, Runnebaum, Ingo, Hillemanns, Peter, Dörk, Thilo, Amant, Frederic, Schrauwen, Stefanie, Hein, Alexander, Beckmann, Matthias W, Ekici, Arif, Czene, Kamila, Meindl, Alfons, Bolla, Manjeet K, Michailidou, Kyriaki, Tyrer, Jonathan P, Wang, Qin, Ahmed, Shahana, Healey, Catherine S, Shah, Mitul, Annibali, Daniela, Depreeuw, Jeroen, Al-Tassan, Nada A, Harris, Rebecca, Meyer, Brian F, Whiffin, Nicola, Hosking, Fay J, Kinnersley, Ben, Farrington, Susan M, Timofeeva, Maria, Tenesa, Albert, Campbell, Harry, Haile, Robert W, Hodgson, Shirley, Carvajal-Carmona, Luis, Cheadle, Jeremy P, Easton, Douglas, Dunlop, Malcolm, Houlston, Richard, and Spurdle, Amanda
Subjects: Humans, Colorectal Neoplasms, Endometrial Neoplasms, Genetic Predisposition to Disease, Intracellular Signaling Peptides and Proteins, Proteins, Homeodomain Proteins, Neoplasm Proteins, Polymorphism, Genetic, Alleles, Female, Male, Genome-Wide Association Study, Polymorphism, Genetic
Abstract: High-risk mutations in several genes predispose to both colorectal cancer (CRC) and endometrial cancer (EC). We therefore hypothesised that some lower-risk genetic variants might also predispose to both CRC and EC. Using CRC and EC genome-wide association series, totalling 13,265 cancer cases and 40,245 controls, we found that the protective allele [G] at one previously-identified CRC polymorphism, rs2736100 near TERT, was associated with EC risk (odds ratio (OR) = 1.08, P = 0.000167); this polymorphism influences the risk of several other cancers. A further CRC polymorphism near TERC also showed evidence of association with EC (OR = 0.92; P = 0.03). Overall, however, there was no good evidence that the set of CRC polymorphisms was associated with EC risk, and neither of two previously-reported EC polymorphisms was associated with CRC risk. A combined analysis revealed one genome-wide significant polymorphism, rs3184504, on chromosome 12q24 (OR = 1.10, P = 7.23 × 10(-9)) with shared effects on CRC and EC risk. This polymorphism, a missense variant in the gene SH2B3, is also associated with haematological and autoimmune disorders, suggesting that it influences cancer risk through the immune response. Another polymorphism, rs12970291 near gene TSHZ1, was associated with both CRC and EC (OR = 1.26, P = 4.82 × 10(-8)), with the alleles showing opposite effects on the risks of the two cancers.
Published: 2015

32. Polymorphisms in a Putative Enhancer at the 10q21.2 Breast Cancer Risk Locus Regulate NRBF2 Expression

Author: Darabi, Hatef, McCue, Karen, Beesley, Jonathan, Michailidou, Kyriaki, Nord, Silje, Kar, Siddhartha, Humphreys, Keith, Thompson, Deborah, Ghoussaini, Maya, Bolla, Manjeet K, Dennis, Joe, Wang, Qin, Canisius, Sander, Scott, Christopher G, Apicella, Carmel, Hopper, John L, Southey, Melissa C, Stone, Jennifer, Broeks, Annegien, Schmidt, Marjanka K, Scott, Rodney J, Lophatananon, Artitaya, Muir, Kenneth, Beckmann, Matthias W, Ekici, Arif B, Fasching, Peter A, Heusinger, Katharina, dos-Santos-Silva, Isabel, Peto, Julian, Tomlinson, Ian, Sawyer, Elinor J, Burwinkel, Barbara, Marme, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Flyger, Henrik, Benitez, Javier, González-Neira, Anna, Anton-Culver, Hoda, Neuhausen, Susan L, Arndt, Volker, Brenner, Hermann, Engel, Christoph, Meindl, Alfons, Schmutzler, Rita K, Cancer, German Consortium of Hereditary Breast and Ovarian, Arnold, Norbert, Brauch, Hiltrud, Hamann, Ute, Chang-Claude, Jenny, Khan, Sofia, Nevanlinna, Heli, Ito, Hidemi, Matsuo, Keitaro, Bogdanova, Natalia V, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Investigators, kConFab AOCS, Kosma, Veli-Matti, Mannermaa, Arto, Tseng, Chiu-chen, Wu, Anna H, Floris, Giuseppe, Lambrechts, Diether, Rudolph, Anja, Peterlongo, Paolo, Radice, Paolo, Couch, Fergus J, Vachon, Celine, Giles, Graham G, McLean, Catriona, Milne, Roger L, Dugué, Pierre-Antoine, Haiman, Christopher A, Maskarinec, Gertraud, Woolcott, Christy, Henderson, Brian E, Goldberg, Mark S, Simard, Jacques, Teo, Soo H, Mariapun, Shivaani, Helland, Åslaug, Haakensen, Vilde, Zheng, Wei, Beeghly-Fadiel, Alicia, Tamimi, Rulla, Jukkola-Vuorinen, Arja, Winqvist, Robert, Andrulis, Irene L, Knight, Julia A, Devilee, Peter, Tollenaar, Robert AEM, Figueroa, Jonine, García-Closas, Montserrat, Czene, Kamila, Hooning, Maartje J, Tilanus-Linthorst, Madeleine, and Li, Jingmei
Subjects: Human Genome, Aging, Cancer, Clinical Research, Breast Cancer, Genetics, Aetiology, 2.1 Biological and endogenous factors, Age Factors, Asian People, Autophagy-Related Proteins, Body Mass Index, Breast Neoplasms, Chromosome Mapping, Chromosomes, Human, Pair 10, DNA-Binding Proteins, Enhancer Elements, Genetic, Female, Gene Expression Regulation, Genome-Wide Association Study, Genotype, Humans, Luciferases, Odds Ratio, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Regression Analysis, Trans-Activators, Transcription Factors, White People, German Consortium of Hereditary Breast and Ovarian Cancer, kConFab/AOCS Investigators, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: Genome-wide association studies have identified SNPs near ZNF365 at 10q21.2 that are associated with both breast cancer risk and mammographic density. To identify the most likely causal SNPs, we fine mapped the association signal by genotyping 428 SNPs across the region in 89,050 European and 12,893 Asian case and control subjects from the Breast Cancer Association Consortium. We identified four independent sets of correlated, highly trait-associated variants (iCHAVs), three of which were located within ZNF365. The most strongly risk-associated SNP, rs10995201 in iCHAV1, showed clear evidence of association with both estrogen receptor (ER)-positive (OR = 0.85 [0.82-0.88]) and ER-negative (OR = 0.87 [0.82-0.91]) disease, and was also the SNP most strongly associated with percent mammographic density. iCHAV2 (lead SNP, chr10: 64,258,684:D) and iCHAV3 (lead SNP, rs7922449) were also associated with ER-positive (OR = 0.93 [0.91-0.95] and OR = 1.06 [1.03-1.09]) and ER-negative (OR = 0.95 [0.91-0.98] and OR = 1.08 [1.04-1.13]) disease. There was weaker evidence for iCHAV4, located 5' of ADO, associated only with ER-positive breast cancer (OR = 0.93 [0.90-0.96]). We found 12, 17, 18, and 2 candidate causal SNPs for breast cancer in iCHAVs 1-4, respectively. Chromosome conformation capture analysis showed that iCHAV2 interacts with the ZNF365 and NRBF2 (more than 600 kb away) promoters in normal and cancerous breast epithelial cells. Luciferase assays did not identify SNPs that affect transactivation of ZNF365, but identified a protective haplotype in iCHAV2, associated with silencing of the NRBF2 promoter, implicating this gene in the etiology of breast cancer.
Published: 2015

33. Prediction of breast cancer risk based on profiling with common genetic variants.

Author: Mavaddat, Nasim, Pharoah, Paul, Michailidou, Kyriaki, Tyrer, Jonathan, Brook, Mark, Bolla, Manjeet, Wang, Qin, Dennis, Joe, Dunning, Alison, Shah, Mitul, Luben, Robert, Brown, Judith, Bojesen, Stig, Nordestgaard, Børge, Nielsen, Sune, Flyger, Henrik, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Peto, Julian, Dos-Santos-Silva, Isabel, Dudbridge, Frank, Johnson, Nichola, Schmidt, Marjanka, Broeks, Annegien, Verhoef, Senno, Rutgers, Emiel, Swerdlow, Anthony, Ashworth, Alan, Orr, Nick, Schoemaker, Minouk, Figueroa, Jonine, Chanock, Stephen, Brinton, Louise, Lissowska, Jolanta, Couch, Fergus, Olson, Janet, Vachon, Celine, Pankratz, Vernon, Lambrechts, Diether, Wildiers, Hans, Van Ongeval, Chantal, van Limbergen, Erik, Kristensen, Vessela, Grenaker Alnæs, Grethe, Nord, Silje, Borresen-Dale, Anne-Lise, Nevanlinna, Heli, Muranen, Taru, Aittomäki, Kristiina, Blomqvist, Carl, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Fasching, Peter, Haeberle, Lothar, Ekici, Arif, Beckmann, Matthias, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Trentham-Dietz, Amy, Newcomb, Polly, Titus, Linda, Egan, Kathleen, Hunter, David, Lindstrom, Sara, Tamimi, Rulla, Kraft, Peter, Rahman, Nazneen, Turnbull, Clare, Renwick, Anthony, Seal, Sheila, Li, Jingmei, Liu, Jianjun, Humphreys, Keith, Benitez, Javier, Pilar Zamora, M, Arias Perez, Jose, Menéndez, Primitiva, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, Katarzyna, Durda, Katarzyna, Bogdanova, Natalia, Antonenkova, Natalia, Dörk, Thilo, Anton-Culver, Hoda, Neuhausen, Susan, Ziogas, Argyrios, Bernstein, Leslie, Devilee, Peter, Tollenaar, Robert, Seynaeve, Caroline, van Asperen, Christi, Cox, Angela, Cross, Simon, and Reed, Malcolm
Subjects: Adult, Aged, Biomarkers, Tumor, Breast Neoplasms, Europe, Female, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Genetic Predisposition to Disease, Genotype, Humans, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Predictive Value of Tests, Receptors, Estrogen, Risk Assessment, Risk Factors
Abstract: BACKGROUND: Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer risk. Such stratification could guide preventive and screening strategies. However, empirical evidence for genetic risk stratification is lacking. METHODS: We investigated the value of using 77 breast cancer-associated single nucleotide polymorphisms (SNPs) for risk stratification, in a study of 33 673 breast cancer cases and 33 381 control women of European origin. We tested all possible pair-wise multiplicative interactions and constructed a 77-SNP polygenic risk score (PRS) for breast cancer overall and by estrogen receptor (ER) status. Absolute risks of breast cancer by PRS were derived from relative risk estimates and UK incidence and mortality rates. RESULTS: There was no strong evidence for departure from a multiplicative model for any SNP pair. Women in the highest 1% of the PRS had a three-fold increased risk of developing breast cancer compared with women in the middle quintile (odds ratio [OR] = 3.36, 95% confidence interval [CI] = 2.95 to 3.83). The ORs for ER-positive and ER-negative disease were 3.73 (95% CI = 3.24 to 4.30) and 2.80 (95% CI = 2.26 to 3.46), respectively. Lifetime risk of breast cancer for women in the lowest and highest quintiles of the PRS were 5.2% and 16.6% for a woman without family history, and 8.6% and 24.4% for a woman with a first-degree family history of breast cancer. CONCLUSIONS: The PRS stratifies breast cancer risk in women both with and without a family history of breast cancer. The observed level of risk discrimination could inform targeted screening and prevention strategies. Further discrimination may be achievable through combining the PRS with lifestyle/environmental factors, although these were not considered in this report.
Published: 2015

34. Fine-mapping of the HNF1B multicancer locus identifies candidate variants that mediate endometrial cancer risk

Author: Painter, Jodie N, O'Mara, Tracy A, Batra, Jyotsna, Cheng, Timothy, Lose, Felicity A, Dennis, Joe, Michailidou, Kyriaki, Tyrer, Jonathan P, Ahmed, Shahana, Ferguson, Kaltin, Healey, Catherine S, Kaufmann, Susanne, Hillman, Kristine M, Walpole, Carina, Moya, Leire, Pollock, Pamela, Jones, Angela, Howarth, Kimberley, Martin, Lynn, Gorman, Maggie, Hodgson, Shirley, De Polanco, Ma Magdalena Echeverry, Sans, Monica, Carracedo, Angel, Castellvi-Bel, Sergi, Rojas-Martinez, Augusto, Santos, Erika, Teixeira, Manuel R, Carvajal-Carmona, Luis, Shu, Xiao-Ou, Long, Jirong, Zheng, Wei, Xiang, Yong-Bing, Montgomery, Grant W, Webb, Penelope M, Scott, Rodney J, McEvoy, Mark, Attia, John, Holliday, Elizabeth, Martin, Nicholas G, Nyholt, Dale R, Henders, Anjali K, Fasching, Peter A, Hein, Alexander, Beckmann, Matthias W, Renner, Stefan P, Dörk, Thilo, Hillemanns, Peter, Dürst, Matthias, Runnebaum, Ingo, Lambrechts, Diether, Coenegrachts, Lieve, Schrauwen, Stefanie, Amant, Frederic, Winterhoff, Boris, Dowdy, Sean C, Goode, Ellen L, Teoman, Attila, Salvesen, Helga B, Trovik, Jone, Njolstad, Tormund S, Werner, Henrica MJ, Ashton, Katie, Proietto, Tony, Otton, Geoffrey, Tzortzatos, Gerasimos, Mints, Miriam, Tham, Emma, Hall, Per, Czene, Kamila, Liu, Jianjun, Li, Jingmei, Hopper, John L, Southey, Melissa C, Ekici, Arif B, Ruebner, Matthias, Johnson, Nicola, Peto, Julian, Burwinkel, Barbara, Marme, Frederik, Brenner, Hermann, Dieffenbach, Aida K, Meindl, Alfons, Brauch, Hiltrud, Lindblom, Annika, Depreeuw, Jeroen, Moisse, Matthieu, Chang-Claude, Jenny, Rudolph, Anja, Couch, Fergus J, Olson, Janet E, Giles, Graham G, Bruinsma, Fiona, Cunningham, Julie M, Fridley, Brooke L, Børresen-Dale, Anne-Lise, Kristensen, Vessela N, Cox, Angela, Swerdlow, Anthony J, and Orr, Nicholas
Subjects: Cancer, Biotechnology, Human Genome, Prevention, Genetics, 2.1 Biological and endogenous factors, Aetiology, Alleles, Case-Control Studies, Cell Line, Tumor, Chromosome Mapping, Computational Biology, Databases, Genetic, Endometrial Neoplasms, Epigenesis, Genetic, Female, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Genotype, Haplotypes, Hepatocyte Nuclear Factor 1-beta, Humans, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, RNA, Messenger, Risk Factors, White People, National Study of Endometrial Cancer Genetics Group, CHIBCHA Consortium, Australian National Endometrial Cancer Study Group, RENDOCAS, Australian Ovarian Cancer Study, GENICA Network, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: Common variants in the hepatocyte nuclear factor 1 homeobox B (HNF1B) gene are associated with the risk of Type II diabetes and multiple cancers. Evidence to date indicates that cancer risk may be mediated via genetic or epigenetic effects on HNF1B gene expression. We previously found single-nucleotide polymorphisms (SNPs) at the HNF1B locus to be associated with endometrial cancer, and now report extensive fine-mapping and in silico and laboratory analyses of this locus. Analysis of 1184 genotyped and imputed SNPs in 6608 Caucasian cases and 37 925 controls, and 895 Asian cases and 1968 controls, revealed the best signal of association for SNP rs11263763 (P = 8.4 × 10(-14), odds ratio = 0.86, 95% confidence interval = 0.82-0.89), located within HNF1B intron 1. Haplotype analysis and conditional analyses provide no evidence of further independent endometrial cancer risk variants at this locus. SNP rs11263763 genotype was associated with HNF1B mRNA expression but not with HNF1B methylation in endometrial tumor samples from The Cancer Genome Atlas. Genetic analyses prioritized rs11263763 and four other SNPs in high-to-moderate linkage disequilibrium as the most likely causal SNPs. Three of these SNPs map to the extended HNF1B promoter based on chromatin marks extending from the minimal promoter region. Reporter assays demonstrated that this extended region reduces activity in combination with the minimal HNF1B promoter, and that the minor alleles of rs11263763 or rs8064454 are associated with decreased HNF1B promoter activity. Our findings provide evidence for a single signal associated with endometrial cancer risk at the HNF1B locus, and that risk is likely mediated via altered HNF1B gene expression.
Published: 2015

35. Candidate locus analysis of the TERT–CLPTM1L cancer risk region on chromosome 5p15 identifies multiple independent variants associated with endometrial cancer risk

Author: Carvajal-Carmona, Luis G, O’Mara, Tracy A, Painter, Jodie N, Lose, Felicity A, Dennis, Joe, Michailidou, Kyriaki, Tyrer, Jonathan P, Ahmed, Shahana, Ferguson, Kaltin, Healey, Catherine S, Pooley, Karen, Beesley, Jonathan, Cheng, Timothy, Jones, Angela, Howarth, Kimberley, Martin, Lynn, Gorman, Maggie, Hodgson, Shirley, National Study of Endometrial Cancer Genetics Group (NSECG), The Australian National Endometrial Cancer Study Group (ANECS), Wentzensen, Nicholas, Fasching, Peter A, Hein, Alexander, Beckmann, Matthias W, Renner, Stefan P, Dörk, Thilo, Hillemanns, Peter, Dürst, Matthias, Runnebaum, Ingo, Lambrechts, Diether, Coenegrachts, Lieve, Schrauwen, Stefanie, Amant, Frederic, Winterhoff, Boris, Dowdy, Sean C, Goode, Ellen L, Teoman, Attila, Salvesen, Helga B, Trovik, Jone, Njolstad, Tormund S, Werner, Henrica MJ, Scott, Rodney J, Ashton, Katie, Proietto, Tony, Otton, Geoffrey, Wersäll, Ofra, Mints, Miriam, Tham, Emma, RENDOCAS, Hall, Per, Czene, Kamila, Liu, Jianjun, Li, Jingmei, Hopper, John L, Southey, Melissa C, Australian Ovarian Cancer Study (AOCS), Ekici, Arif B, Ruebner, Matthias, Johnson, Nichola, Peto, Julian, Burwinkel, Barbara, Marme, Frederik, Brenner, Hermann, Dieffenbach, Aida K, Meindl, Alfons, Brauch, Hiltrud, The GENICA Network, Lindblom, Annika, Depreeuw, Jeroen, Moisse, Matthieu, Chang-Claude, Jenny, Rudolph, Anja, Couch, Fergus J, Olson, Janet E, Giles, Graham G, Bruinsma, Fiona, Cunningham, Julie M, Fridley, Brooke L, Børresen-Dale, Anne-Lise, Kristensen, Vessela N, Cox, Angela, Swerdlow, Anthony J, Orr, Nicholas, Bolla, Manjeet K, Wang, Qin, Weber, Rachel Palmieri, Chen, Zhihua, Shah, Mitul, Pharoah, Paul DP, Dunning, Alison M, Tomlinson, Ian, Easton, Douglas F, Spurdle, Amanda B, and Thompson, Deborah J
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Genetic Testing, Human Genome, Prevention, Cancer, Uterine Cancer, 2.1 Biological and endogenous factors, Aetiology, Chromosomes, Human, Pair 5, Databases, Nucleic Acid, Female, Gene Expression Regulation, Neoplastic, Genetic Loci, Haplotypes, Humans, Membrane Proteins, Models, Genetic, Neoplasm Proteins, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, Risk Factors, Telomerase, National Study of Endometrial Cancer Genetics Group, Australian National Endometrial Cancer Study Group, RENDOCAS, Australian Ovarian Cancer Study, GENICA Network, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine, Genetics & Heredity, Reproductive medicine
Abstract: Several studies have reported associations between multiple cancer types and single-nucleotide polymorphisms (SNPs) on chromosome 5p15, which harbours TERT and CLPTM1L, but no such association has been reported with endometrial cancer. To evaluate the role of genetic variants at the TERT-CLPTM1L region in endometrial cancer risk, we carried out comprehensive fine-mapping analyses of genotyped and imputed SNPs using a custom Illumina iSelect array which includes dense SNP coverage of this region. We examined 396 SNPs (113 genotyped, 283 imputed) in 4,401 endometrial cancer cases and 28,758 controls. Single-SNP and forward/backward logistic regression models suggested evidence for three variants independently associated with endometrial cancer risk (P = 4.9 × 10(-6) to P = 7.7 × 10(-5)). Only one falls into a haplotype previously associated with other cancer types (rs7705526, in TERT intron 1), and this SNP has been shown to alter TERT promoter activity. One of the novel associations (rs13174814) maps to a second region in the TERT promoter and the other (rs62329728) is in the promoter region of CLPTM1L; neither are correlated with previously reported cancer-associated SNPs. Using TCGA RNASeq data, we found significantly increased expression of both TERT and CLPTM1L in endometrial cancer tissue compared with normal tissue (TERT P = 1.5 × 10(-18), CLPTM1L P = 1.5 × 10(-19)). Our study thus reports a novel endometrial cancer risk locus and expands the spectrum of cancer types associated with genetic variation at 5p15, further highlighting the importance of this region for cancer susceptibility.
Published: 2015

36. 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

37. Fine-Scale Mapping of the 5q11.2 Breast Cancer Locus Reveals at Least Three Independent Risk Variants Regulating MAP3K1

Author: Glubb, Dylan M, Maranian, Mel J, Michailidou, Kyriaki, Pooley, Karen A, Meyer, Kerstin B, Kar, Siddhartha, Carlebur, Saskia, O’Reilly, Martin, Betts, Joshua A, Hillman, Kristine M, Kaufmann, Susanne, Beesley, Jonathan, Canisius, Sander, Hopper, John L, Southey, Melissa C, Tsimiklis, Helen, Apicella, Carmel, Schmidt, Marjanka K, Broeks, Annegien, Hogervorst, Frans B, van der Schoot, C Ellen, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Fasching, Peter A, Ruebner, Matthias, Ekici, Arif B, Beckmann, Matthias W, Peto, Julian, dos-Santos-Silva, Isabel, Fletcher, Olivia, Johnson, Nichola, Pharoah, Paul DP, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Burwinkel, Barbara, Marme, Frederik, Yang, Rongxi, Surowy, Harald, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Sanchez, Marie, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, González-Neira, Anna, Benitez, Javier, Zamora, M Pilar, Perez, Jose Ignacio Arias, Anton-Culver, Hoda, Neuhausen, Susan L, Brenner, Hermann, Dieffenbach, Aida Karina, Arndt, Volker, Stegmaier, Christa, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Ko, Yon-Dschun, Brüning, Thomas, Network, The GENICA, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Tanaka, Hideo, Dörk, Thilo, Bogdanova, Natalia V, Helbig, Sonja, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Investigators, kConFab, Wu, Anna H, Tseng, Chiu-chen, Van Den Berg, David, Stram, Daniel O, Lambrechts, Diether, Zhao, Hui, Weltens, Caroline, van Limbergen, Erik, Chang-Claude, Jenny, Flesch-Janys, Dieter, Rudolph, Anja, Seibold, Petra, and Radice, Paolo
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Human Genome, Prevention, Breast Cancer, Cancer, Estrogen, 2.1 Biological and endogenous factors, Aetiology, Alleles, Breast Neoplasms, Case-Control Studies, Cell Line, Tumor, Chromosome Mapping, Chromosomes, Human, Pair 5, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotyping Techniques, Humans, MAP Kinase Kinase Kinase 1, MCF-7 Cells, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, Quantitative Trait Loci, Racial Groups, Risk Factors, GENICA Network, kConFab Investigators, Norwegian Breast Cancer Study, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract: Genome-wide association studies (GWASs) have revealed SNP rs889312 on 5q11.2 to be associated with breast cancer risk in women of European ancestry. In an attempt to identify the biologically relevant variants, we analyzed 909 genetic variants across 5q11.2 in 103,991 breast cancer individuals and control individuals from 52 studies in the Breast Cancer Association Consortium. Multiple logistic regression analyses identified three independent risk signals: the strongest associations were with 15 correlated variants (iCHAV1), where the minor allele of the best candidate, rs62355902, associated with significantly increased risks of both estrogen-receptor-positive (ER(+): odds ratio [OR] = 1.24, 95% confidence interval [CI] = 1.21-1.27, ptrend = 5.7 × 10(-44)) and estrogen-receptor-negative (ER(-): OR = 1.10, 95% CI = 1.05-1.15, ptrend = 3.0 × 10(-4)) tumors. After adjustment for rs62355902, we found evidence of association of a further 173 variants (iCHAV2) containing three subsets with a range of effects (the strongest was rs113317823 [pcond = 1.61 × 10(-5)]) and five variants composing iCHAV3 (lead rs11949391; ER(+): OR = 0.90, 95% CI = 0.87-0.93, pcond = 1.4 × 10(-4)). Twenty-six percent of the prioritized candidate variants coincided with four putative regulatory elements that interact with the MAP3K1 promoter through chromatin looping and affect MAP3K1 promoter activity. Functional analysis indicated that the cancer risk alleles of four candidates (rs74345699 and rs62355900 [iCHAV1], rs16886397 [iCHAV2a], and rs17432750 [iCHAV3]) increased MAP3K1 transcriptional activity. Chromatin immunoprecipitation analysis revealed diminished GATA3 binding to the minor (cancer-protective) allele of rs17432750, indicating a mechanism for its action. We propose that the cancer risk alleles act to increase MAP3K1 expression in vivo and might promote breast cancer cell survival.
Published: 2015

38. Identification and characterization of novel associations in the CASP8/ALS2CR12 region on chromosome 2 with breast cancer risk.

Author: Lin, Wei-Yu, Camp, Nicola J, Ghoussaini, Maya, Beesley, Jonathan, Michailidou, Kyriaki, Hopper, John L, Apicella, Carmel, Southey, Melissa C, Stone, Jennifer, Schmidt, Marjanka K, Broeks, Annegien, Van't Veer, Laura J, Th Rutgers, Emiel J, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Fasching, Peter A, Haeberle, Lothar, Ekici, Arif B, Beckmann, Matthias W, Peto, Julian, Dos-Santos-Silva, Isabel, Fletcher, Olivia, Johnson, Nichola, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Sawyer, Elinor J, Cheng, Timothy, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Marmé, Frederik, Surowy, Harald M, Burwinkel, Barbara, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Mulot, Claire, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Benitez, Javier, Zamora, M Pilar, Arias Perez, Jose Ignacio, Menéndez, Primitiva, González-Neira, Anna, Pita, Guillermo, Alonso, M Rosario, Alvarez, Nuria, Herrero, Daniel, Anton-Culver, Hoda, Brenner, Hermann, Dieffenbach, Aida Karina, Arndt, Volker, Stegmaier, Christa, Meindl, Alfons, Lichtner, Peter, Schmutzler, Rita K, Müller-Myhsok, Bertram, Brauch, Hiltrud, Brüning, Thomas, Ko, Yon-Dschun, GENICA Network, Tessier, Daniel C, Vincent, Daniel, Bacot, Francois, Nevanlinna, Heli, Aittomäki, Kristiina, Blomqvist, Carl, Khan, Sofia, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Horio, Akiyo, Bogdanova, Natalia V, Antonenkova, Natalia N, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, kConFab Investigators, Australian Ovarian Cancer Study Group, Wu, Anna H, Tseng, Chiu-Chen, Van Den Berg, David, Stram, Daniel O, Neven, Patrick, Wauters, Els, Wildiers, Hans, Lambrechts, Diether, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, and Flesch-Janys, Dieter
Subjects: GENICA Network, kConFab Investigators, Australian Ovarian Cancer Study Group, Breast and Ovarian Cancer Susceptibility (BOCS) Study, Chromosomes, Human, Pair 2, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Proteins, Case-Control Studies, Polymorphism, Single Nucleotide, European Continental Ancestry Group, Female, Caspase 8, CASP8 and FADD-Like Apoptosis Regulating Protein, Genome-Wide Association Study, Genotyping Techniques, Chromosomes, Human, Pair 2, Polymorphism, Single Nucleotide, Prevention, Genetics, Human Genome, Breast Cancer, Cancer, Biotechnology, 2.1 Biological and endogenous factors, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: Previous studies have suggested that polymorphisms in CASP8 on chromosome 2 are associated with breast cancer risk. To clarify the role of CASP8 in breast cancer susceptibility, we carried out dense genotyping of this region in the Breast Cancer Association Consortium (BCAC). Single-nucleotide polymorphisms (SNPs) spanning a 1 Mb region around CASP8 were genotyped in 46 450 breast cancer cases and 42 600 controls of European origin from 41 studies participating in the BCAC as part of a custom genotyping array experiment (iCOGS). Missing genotypes and SNPs were imputed and, after quality exclusions, 501 typed and 1232 imputed SNPs were included in logistic regression models adjusting for study and ancestry principal components. The SNPs retained in the final model were investigated further in data from nine genome-wide association studies (GWAS) comprising in total 10 052 case and 12 575 control subjects. The most significant association signal observed in European subjects was for the imputed intronic SNP rs1830298 in ALS2CR12 (telomeric to CASP8), with per allele odds ratio and 95% confidence interval [OR (95% confidence interval, CI)] for the minor allele of 1.05 (1.03-1.07), P = 1 × 10(-5). Three additional independent signals from intronic SNPs were identified, in CASP8 (rs36043647), ALS2CR11 (rs59278883) and CFLAR (rs7558475). The association with rs1830298 was replicated in the imputed results from the combined GWAS (P = 3 × 10(-6)), yielding a combined OR (95% CI) of 1.06 (1.04-1.08), P = 1 × 10(-9). Analyses of gene expression associations in peripheral blood and normal breast tissue indicate that CASP8 might be the target gene, suggesting a mechanism involving apoptosis.
Published: 2015

39. Common non-synonymous SNPs associated with breast cancer susceptibility: findings from the Breast Cancer Association Consortium.

Author: Milne, Roger, Burwinkel, Barbara, Michailidou, Kyriaki, Arias-Perez, Jose-Ignacio, Zamora, M, Menéndez-Rodríguez, Primitiva, Hardisson, David, Mendiola, Marta, González-Neira, Anna, Pita, Guillermo, Alonso, M, Dennis, Joe, Wang, Qin, Bolla, Manjeet, Swerdlow, Anthony, Ashworth, Alan, Orr, Nick, Schoemaker, Minouk, Ko, Yon-Dschun, Brauch, Hiltrud, Hamann, Ute, Andrulis, Irene, Knight, Julia, Glendon, Gord, Tchatchou, Sandrine, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Tajima, Kazuo, Li, Jingmei, Brand, Judith, Brenner, Hermann, Dieffenbach, Aida, Arndt, Volker, Stegmaier, Christa, Lambrechts, Diether, Peuteman, Gilian, Christiaens, Marie-Rose, Smeets, Ann, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, Katarzyna, Durda, Katazyna, Hartman, Mikael, Hui, Miao, Yen Lim, Wei, Wan Chan, Ching, Marme, Federick, Yang, Rongxi, Bugert, Peter, Lindblom, Annika, Margolin, Sara, García-Closas, Montserrat, Chanock, Stephen, Lissowska, Jolanta, Figueroa, Jonine, Bojesen, Stig, Nordestgaard, Børge, Flyger, Henrik, Hooning, Maartje, Kriege, Mieke, van den Ouweland, Ans, Koppert, Linetta, Fletcher, Olivia, Johnson, Nichola, dos-Santos-Silva, Isabel, Peto, Julian, Zheng, Wei, Deming-Halverson, Sandra, Shrubsole, Martha, Long, Jirong, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Cox, Angela, Cross, Simon, Reed, Malcolm, Schmidt, Marjanka, Broeks, Annegien, Cornelissen, Sten, Braaf, Linde, Kang, Daehee, Choi, Ji-Yeob, Park, Sue, Noh, Dong-Young, Simard, Jacques, Dumont, Martine, Goldberg, Mark, Labrèche, France, Fasching, Peter, Hein, Alexander, Ekici, Arif, Beckmann, Matthias, Radice, Paolo, and Peterlongo, Paolo
Subjects: A Kinase Anchor Proteins, Adult, Alleles, Ataxin-7, Breast Neoplasms, Case-Control Studies, Cytoskeletal Proteins, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Middle Aged, NIMA-Related Kinases, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Protein Serine-Threonine Kinases
Abstract: Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which evidence of association with breast cancer risk had been previously reported. Case-control data were combined from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21 [rs1053338, per allele OR = 1.07, 95% confidence interval (CI) = 1.04-1.10, P = 2.9 × 10(-6)], AKAP9-M463I at 7q21 (rs6964587, OR = 1.05, 95% CI = 1.03-1.07, P = 1.7 × 10(-6)) and NEK10-L513S at 3p24 (rs10510592, OR = 1.10, 95% CI = 1.07-1.12, P = 5.1 × 10(-17)). The first two associations reached genome-wide statistical significance in a combined analysis of available data, including independent data from nine genome-wide association studies (GWASs): for ATXN7-K264R, OR = 1.07 (95% CI = 1.05-1.10, P = 1.0 × 10(-8)); for AKAP9-M463I, OR = 1.05 (95% CI = 1.04-1.07, P = 2.0 × 10(-10)). Further analysis of other common variants in these two regions suggested that intronic SNPs nearby are more strongly associated with disease risk. We have thus identified a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying variants and the genes through which they act.
Published: 2014

40. Genetic variation in mitotic regulatory pathway genes is associated with breast tumor grade.

Author: Purrington, Kristen, Slettedahl, Seth, Bolla, Manjeet, Michailidou, Kyriaki, Czene, Kamila, Nevanlinna, Heli, Bojesen, Stig, Andrulis, Irene, Cox, Angela, Hall, Per, Carpenter, Jane, Yannoukakos, Drakoulis, Haiman, Christopher, Fasching, Peter, Mannermaa, Arto, Winqvist, Robert, Brenner, Hermann, Lindblom, Annika, Chenevix-Trench, Georgia, Benitez, Javier, Swerdlow, Anthony, Kristensen, Vessela, Guénel, Pascal, Meindl, Alfons, Darabi, Hatef, Eriksson, Mikael, Fagerholm, Rainer, Aittomäki, Kristiina, Blomqvist, Carl, Nordestgaard, Børge, Nielsen, Sune, Flyger, Henrik, Wang, Xianshu, Olswold, Curtis, Olson, Janet, Mulligan, Anna, Knight, Julia, Tchatchou, Sandrine, Reed, Malcolm, Cross, Simon, Liu, Jianjun, Li, Jingmei, Humphreys, Keith, Clarke, Christine, Scott, Rodney, Fostira, Florentia, Fountzilas, George, Konstantopoulou, Irene, Henderson, Brian, Schumacher, Fredrick, Le Marchand, Loic, Ekici, Arif, Hartmann, Arndt, Beckmann, Matthias, Hartikainen, Jaana, Kosma, Veli-Matti, Kataja, Vesa, Jukkola-Vuorinen, Arja, Pylkäs, Katri, Kauppila, Saila, Dieffenbach, Aida, Stegmaier, Christa, Arndt, Volker, Margolin, Sara, Balleine, Rosemary, Arias Perez, Jose, Pilar Zamora, M, Menéndez, Primitiva, Ashworth, Alan, Jones, Michael, Orr, Nick, Arveux, Patrick, Kerbrat, Pierre, Truong, Thérèse, Bugert, Peter, Toland, Amanda, Ambrosone, Christine, Labrèche, France, Goldberg, Mark, Dumont, Martine, Ziogas, Argyrios, Lee, Eunjung, Dite, Gillian, Apicella, Carmel, Southey, Melissa, Long, Jirong, Shrubsole, Martha, Deming-Halverson, Sandra, Ficarazzi, Filomena, Barile, Monica, Peterlongo, Paolo, Durda, Katarzyna, Jaworska-Bieniek, Katarzyna, Tollenaar, Robert, Seynaeve, Caroline, Brüning, Thomas, Ko, Yon-Dschun, Van Deurzen, Carolien, Martens, John, and Kriege, Mieke
Subjects: Breast Neoplasms, Carrier Proteins, Case-Control Studies, Female, Genetic Variation, Haplotypes, Humans, Neoplasm Staging, Polymorphism, Single Nucleotide, Receptor, Fibroblast Growth Factor, Type 2, Risk Factors, Tumor Suppressor Proteins
Abstract: Mitotic index is an important component of histologic grade and has an etiologic role in breast tumorigenesis. Several small candidate gene studies have reported associations between variation in mitotic genes and breast cancer risk. We measured associations between 2156 single nucleotide polymorphisms (SNPs) from 194 mitotic genes and breast cancer risk, overall and by histologic grade, in the Breast Cancer Association Consortium (BCAC) iCOGS study (n = 39 067 cases; n = 42 106 controls). SNPs in TACC2 [rs17550038: odds ratio (OR) = 1.24, 95% confidence interval (CI) 1.16-1.33, P = 4.2 × 10(-10)) and EIF3H (rs799890: OR = 1.07, 95% CI 1.04-1.11, P = 8.7 × 10(-6)) were significantly associated with risk of low-grade breast cancer. The TACC2 signal was retained (rs17550038: OR = 1.15, 95% CI 1.07-1.23, P = 7.9 × 10(-5)) after adjustment for breast cancer risk SNPs in the nearby FGFR2 gene, suggesting that TACC2 is a novel, independent genome-wide significant genetic risk locus for low-grade breast cancer. While no SNPs were individually associated with high-grade disease, a pathway-level gene set analysis showed that variation across the 194 mitotic genes was associated with high-grade breast cancer risk (P = 2.1 × 10(-3)). These observations will provide insight into the contribution of mitotic defects to histological grade and the etiology of breast cancer.
Published: 2014

41. Evidence that breast cancer risk at the 2q35 locus is mediated through IGFBP5 regulation.

Author: Ghoussaini, Maya, Edwards, Stacey L, Michailidou, Kyriaki, Nord, Silje, Cowper-Sal Lari, Richard, Desai, Kinjal, Kar, Siddhartha, Hillman, Kristine M, Kaufmann, Susanne, Glubb, Dylan M, Beesley, Jonathan, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Dicks, Ed, Guo, Qi, Schmidt, Marjanka K, Shah, Mitul, Luben, Robert, Brown, Judith, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Klevebring, Daniel, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Lambrechts, Diether, Thienpont, Bernard, Neven, Patrick, Wildiers, Hans, Broeks, Annegien, Van't Veer, Laura J, Th Rutgers, Emiel J, Couch, Fergus J, Olson, Janet E, Hallberg, Emily, Vachon, Celine, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Peto, Julian, Dos-Santos-Silva, Isabel, Gibson, Lorna, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Hall, Per, Li, Jingmei, Liu, Jianjun, Humphreys, Keith, Kang, Daehee, Choi, Ji-Yeob, Park, Sue K, Noh, Dong-Young, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Yatabe, Yasushi, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Sanchez, Marie, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Wu, Anna H, Tseng, Chiu-Chen, Van Den Berg, David, Stram, Daniel O, Benitez, Javier, Zamora, M Pilar, Perez, Jose Ignacio Arias, Menéndez, Primitiva, Shu, Xiao-Ou, Lu, Wei, Gao, Yu-Tang, Cai, Qiuyin, 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, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Lindblom, Annika, Margolin, Sara, and Teo, Soo Hwang
Subjects: Australian Ovarian Cancer Management Group, Cell Line, Tumor, Chromosomes, Human, Pair 2, Chromatin, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Insulin-Like Growth Factor Binding Protein 5, RNA, Messenger, Polymorphism, Single Nucleotide, Female, Hepatocyte Nuclear Factor 3-alpha, Promoter Regions, Genetic, MCF-7 Cells, Cell Line, Tumor, Chromosomes, Human, Pair 2, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, RNA, Messenger
Abstract: GWAS have identified a breast cancer susceptibility locus on 2q35. Here we report the fine mapping of this locus using data from 101,943 subjects from 50 case-control studies. We genotype 276 SNPs using the 'iCOGS' genotyping array and impute genotypes for a further 1,284 using 1000 Genomes Project data. All but two, strongly correlated SNPs (rs4442975 G/T and rs6721996 G/A) are excluded as candidate causal variants at odds against >100:1. The best functional candidate, rs4442975, is associated with oestrogen receptor positive (ER+) disease with an odds ratio (OR) in Europeans of 0.85 (95% confidence interval=0.84-0.87; P=1.7 × 10(-43)) per t-allele. This SNP flanks a transcriptional enhancer that physically interacts with the promoter of IGFBP5 (encoding insulin-like growth factor-binding protein 5) and displays allele-specific gene expression, FOXA1 binding and chromatin looping. Evidence suggests that the g-allele confers increased breast cancer susceptibility through relative downregulation of IGFBP5, a gene with known roles in breast cell biology.
Published: 2014

42. A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46,450 cases and 42,461 controls from the breast cancer association consortium.

Author: Milne, Roger, Herranz, Jesús, Michailidou, Kyriaki, Dennis, Joe, Tyrer, Jonathan, Zamora, M, Arias-Perez, José, González-Neira, Anna, Pita, Guillermo, Alonso, M, Wang, Qin, Bolla, Manjeet, Czene, Kamila, Eriksson, Mikael, Humphreys, Keith, Darabi, Hatef, Li, Jingmei, Orr, Nicholas, Schoemaker, Minouk, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, Katarzyna, Durda, Katarzyna, Andrulis, Irene, Knight, Julia, Glendon, Gord, Mulligan, Anna, Bojesen, Stig, Nordestgaard, Børge, Flyger, Henrik, Nevanlinna, Heli, Muranen, Taru, Aittomäki, Kristiina, Blomqvist, Carl, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Wang, Xianshu, Olson, Janet, Vachon, Celine, Purrington, Kristen, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Dunning, Alison, Shah, Mitul, Guénel, Pascal, Truong, Thérèse, Sanchez, Marie, Mulot, Claire, Brenner, Hermann, Dieffenbach, Aida, Arndt, Volker, Stegmaier, Christa, Lindblom, Annika, Margolin, Sara, Hooning, Maartje, Hollestelle, Antoinette, Collée, J, Jager, Agnes, Cox, Angela, Brock, Ian, Reed, Malcolm, Devilee, Peter, Tollenaar, Robert, Seynaeve, Caroline, Haiman, Christopher, Henderson, Brian, Schumacher, Fredrick, Le Marchand, Loic, Simard, Jacques, Dumont, Martine, Soucy, Penny, Dörk, Thilo, Bogdanova, Natalia, Hamann, Ute, Försti, Asta, Rüdiger, Thomas, Ulmer, Hans-Ulrich, Fasching, Peter, Häberle, Lothar, Ekici, Arif, Beckmann, Matthias, Fletcher, Olivia, Johnson, Nichola, dos Santos Silva, Isabel, Peto, Julian, Radice, Paolo, Peterlongo, Paolo, Peissel, Bernard, Mariani, Paolo, Giles, Graham, Severi, Gianluca, Baglietto, Laura, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, and Miller, Nicola
Subjects: Breast Neoplasms, Case-Control Studies, Epistasis, Genetic, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Logistic Models, Polymorphism, Single Nucleotide
Abstract: Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer cases and 42,461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10(-8). Results from the second analytic approach were consistent with those from the first (P > 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.
Published: 2014

43. A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46 450 cases and 42 461 controls from the breast cancer association consortium

Author: Milne, Roger L, Herranz, Jesús, Michailidou, Kyriaki, Dennis, Joe, Tyrer, Jonathan P, Zamora, M Pilar, Arias-Perez, José Ignacio, González-Neira, Anna, Pita, Guillermo, Alonso, M Rosario, Wang, Qin, Bolla, Manjeet K, Czene, Kamila, Eriksson, Mikael, Humphreys, Keith, Darabi, Hatef, Li, Jingmei, Anton-Culver, Hoda, Neuhausen, Susan L, Ziogas, Argyrios, Clarke, Christina A, Hopper, John L, Dite, Gillian S, Apicella, Carmel, Southey, Melissa C, Chenevix-Trench, Georgia, Swerdlow, Anthony, Ashworth, Alan, Orr, Nicholas, Schoemaker, Minouk, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, Katarzyna, Durda, Katarzyna, Andrulis, Irene L, Knight, Julia A, Glendon, Gord, Mulligan, Anna Marie, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Wang, Xianshu, Olson, Janet E, Vachon, Celine, Purrington, Kristen, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Dunning, Alison M, Shah, Mitul, Guénel, Pascal, Truong, Thérèse, Sanchez, Marie, Mulot, Claire, Brenner, Hermann, Dieffenbach, Aida Karina, Arndt, Volker, Stegmaier, Christa, Lindblom, Annika, Margolin, Sara, Hooning, Maartje J, Hollestelle, Antoinette, Collée, J Margriet, Jager, Agnes, Cox, Angela, Brock, Ian W, Reed, Malcolm WR, Devilee, Peter, Tollenaar, Robert AEM, Seynaeve, Caroline, Haiman, Christopher A, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Simard, Jacques, Dumont, Martine, Soucy, Penny, Dörk, Thilo, Bogdanova, Natalia V, Hamann, Ute, Försti, Asta, Rüdiger, Thomas, Ulmer, Hans-Ulrich, Fasching, Peter A, Häberle, Lothar, Ekici, Arif B, Beckmann, Matthias W, Fletcher, Olivia, Johnson, Nichola, dos Santos Silva, Isabel, and Peto, Julian
Subjects: Breast Cancer, Human Genome, Genetics, Cancer, Prevention, 2.1 Biological and endogenous factors, Aetiology, Breast Neoplasms, Case-Control Studies, Epistasis, Genetic, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Logistic Models, Polymorphism, Single Nucleotide, kConFab Investigators, Australian Ovarian Cancer Study Group, GENICA Network, TNBCC, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer cases and 42,461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10(-8). Results from the second analytic approach were consistent with those from the first (P > 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.
Published: 2014

44. Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer.

Author: Bojesen, Stig E, Pooley, Karen A, Johnatty, Sharon E, Beesley, Jonathan, Michailidou, Kyriaki, Tyrer, Jonathan P, Edwards, Stacey L, Pickett, Hilda A, Shen, Howard C, Smart, Chanel E, Hillman, Kristine M, Mai, Phuong L, Lawrenson, Kate, Stutz, Michael D, Lu, Yi, Karevan, Rod, Woods, Nicholas, Johnston, Rebecca L, French, Juliet D, Chen, Xiaoqing, Weischer, Maren, Nielsen, Sune F, Maranian, Melanie J, Ghoussaini, Maya, Ahmed, Shahana, Baynes, Caroline, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, McGuffog, Lesley, Barrowdale, Daniel, Lee, Andrew, Healey, Sue, Lush, Michael, Tessier, Daniel C, Vincent, Daniel, Bacot, Françis, Australian Cancer Study, Australian Ovarian Cancer Study, Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer (kConFab), Gene Environment Interaction and Breast Cancer (GENICA), Swedish Breast Cancer Study (SWE-BRCA), Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON), Epidemiological study of BRCA1 & BRCA2 Mutation Carriers (EMBRACE), Genetic Modifiers of Cancer Risk in BRCA1/2 Mutation Carriers (GEMO), Vergote, Ignace, Lambrechts, Sandrina, Despierre, Evelyn, Risch, Harvey A, González-Neira, Anna, Rossing, Mary Anne, Pita, Guillermo, Doherty, Jennifer A, Alvarez, Nuria, Larson, Melissa C, Fridley, Brooke L, Schoof, Nils, Chang-Claude, Jenny, Cicek, Mine S, Peto, Julian, Kalli, Kimberly R, Broeks, Annegien, Armasu, Sebastian M, Schmidt, Marjanka K, Braaf, Linde M, Winterhoff, Boris, Nevanlinna, Heli, Konecny, Gottfried E, Lambrechts, Diether, Rogmann, Lisa, Guénel, Pascal, Teoman, Attila, Milne, Roger L, Garcia, Joaquin J, Cox, Angela, Shridhar, Vijayalakshmi, Burwinkel, Barbara, Marme, Frederik, Hein, Rebecca, Sawyer, Elinor J, Haiman, Christopher A, Wang-Gohrke, Shan, Andrulis, Irene L, Moysich, Kirsten B, Hopper, John L, Odunsi, Kunle, Lindblom, Annika, Giles, Graham G, Brenner, Hermann, Simard, Jacques, Lurie, Galina, Fasching, Peter A, Carney, Michael E, Radice, Paolo, Wilkens, Lynne R, Swerdlow, Anthony, Goodman, Marc T, Brauch, Hiltrud, Garcia-Closas, Montserrat, and Hillemanns, Peter
Subjects: Australian Cancer Study, Australian Ovarian Cancer Study, Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer, Gene Environment Interaction and Breast Cancer, Swedish Breast Cancer Study, Hereditary Breast and Ovarian Cancer Research Group Netherlands, Epidemiological study of BRCA1 & BRCA2 Mutation Carriers, Genetic Modifiers of Cancer Risk in BRCA1/2 Mutation Carriers, Chromatin, Telomere, Humans, Breast Neoplasms, Ovarian Neoplasms, Genetic Predisposition to Disease, Luciferases, Telomerase, RNA, Messenger, Oligonucleotide Array Sequence Analysis, Risk Factors, Case-Control Studies, Gene Expression Profiling, Reverse Transcriptase Polymerase Chain Reaction, DNA Methylation, Alternative Splicing, Genotype, Polymorphism, Single Nucleotide, Female, Genome-Wide Association Study, Genetic Loci, Real-Time Polymerase Chain Reaction, Biomarkers, Tumor, Genetics, Breast Cancer, Cancer, Ovarian Cancer, Rare Diseases, Prevention, 2.1 Biological and endogenous factors, Aetiology, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract: TERT-locus SNPs and leukocyte telomere measures are reportedly associated with risks of multiple cancers. Using the Illumina custom genotyping array iCOGs, we analyzed ∼480 SNPs at the TERT locus in breast (n = 103,991), ovarian (n = 39,774) and BRCA1 mutation carrier (n = 11,705) cancer cases and controls. Leukocyte telomere measurements were also available for 53,724 participants. Most associations cluster into three independent peaks. The minor allele at the peak 1 SNP rs2736108 associates with longer telomeres (P = 5.8 × 10(-7)), lower risks for estrogen receptor (ER)-negative (P = 1.0 × 10(-8)) and BRCA1 mutation carrier (P = 1.1 × 10(-5)) breast cancers and altered promoter assay signal. The minor allele at the peak 2 SNP rs7705526 associates with longer telomeres (P = 2.3 × 10(-14)), higher risk of low-malignant-potential ovarian cancer (P = 1.3 × 10(-15)) and greater promoter activity. The minor alleles at the peak 3 SNPs rs10069690 and rs2242652 increase ER-negative (P = 1.2 × 10(-12)) and BRCA1 mutation carrier (P = 1.6 × 10(-14)) breast and invasive ovarian (P = 1.3 × 10(-11)) cancer risks but not via altered telomere length. The cancer risk alleles of rs2242652 and rs10069690, respectively, increase silencing and generate a truncated TERT splice variant.
Published: 2013

45. Large-scale genotyping identifies 41 new loci associated with breast cancer risk

Author: Michailidou, Kyriaki, Hall, Per, Gonzalez-Neira, Anna, Ghoussaini, Maya, Dennis, Joe, Milne, Roger L, Schmidt, Marjanka K, Chang-Claude, Jenny, Bojesen, Stig E, Bolla, Manjeet K, Wang, Qin, Dicks, Ed, Lee, Andrew, Turnbull, Clare, Rahman, Nazneen, Fletcher, Olivia, Peto, Julian, Gibson, Lorna, dos Santos Silva, Isabel, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Czene, Kamila, Irwanto, Astrid, Liu, Jianjun, Waisfisz, Quinten, Meijers-Heijboer, Hanne, Adank, Muriel, van der Luijt, Rob B, Hein, Rebecca, Dahmen, Norbert, Beckman, Lars, Meindl, Alfons, Schmutzler, Rita K, Müller-Myhsok, Bertram, Lichtner, Peter, Hopper, John L, Southey, Melissa C, Makalic, Enes, Schmidt, Daniel F, Uitterlinden, Andre G, Hofman, Albert, Hunter, David J, Chanock, Stephen J, Vincent, Daniel, Bacot, François, Tessier, Daniel C, Canisius, Sander, Wessels, Lodewyk FA, Haiman, Christopher A, Shah, Mitul, Luben, Robert, Brown, Judith, Luccarini, Craig, Schoof, Nils, Humphreys, Keith, Li, Jingmei, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Couch, Fergus J, Wang, Xianshu, Vachon, Celine, Stevens, Kristen N, Lambrechts, Diether, Moisse, Matthieu, Paridaens, Robert, Christiaens, Marie-Rose, Rudolph, Anja, Nickels, Stefan, Flesch-Janys, Dieter, Johnson, Nichola, Aitken, Zoe, Aaltonen, Kirsimari, Heikkinen, Tuomas, Broeks, Annegien, Veer, Laura J Van't, van der Schoot, C Ellen, Guénel, Pascal, Truong, Thérèse, Laurent-Puig, Pierre, Menegaux, Florence, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Zamora, M Pilar, Perez, Jose Ignacio Arias, Pita, Guillermo, Alonso, M Rosario, Cox, Angela, Brock, Ian W, Cross, Simon S, Reed, Malcolm WR, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, and Henderson, Brian E
Subjects: Biological Sciences, Genetics, Human Genome, Prevention, Breast Cancer, Cancer, Breast Neoplasms, Case-Control Studies, Cooperative Behavior, Female, Gene-Environment Interaction, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Risk Factors, Breast and Ovarian Cancer Susceptibility Collaboration, Hereditary Breast and Ovarian Cancer Research Group Netherlands, kConFab Investigators, Australian Ovarian Cancer Study Group, GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological Gene-environment Study, COGS) and used a custom Illumina iSelect genotyping array, iCOGS, comprising more than 200,000 SNPs. We identified SNPs at 41 new breast cancer susceptibility loci at genome-wide significance (P < 5 × 10(-8)). Further analyses suggest that more than 1,000 additional loci are involved in breast cancer susceptibility.
Published: 2013

46. Functional Variants at the 11q13 Risk Locus for Breast Cancer Regulate Cyclin D1 Expression through Long-Range Enhancers

Author: French, Juliet D, Ghoussaini, Maya, Edwards, Stacey L, Meyer, Kerstin B, Michailidou, Kyriaki, Ahmed, Shahana, Khan, Sofia, Maranian, Mel J, O’Reilly, Martin, Hillman, Kristine M, Betts, Joshua A, Carroll, Thomas, Bailey, Peter J, Dicks, Ed, Beesley, Jonathan, Tyrer, Jonathan, Maia, Ana-Teresa, Beck, Andrew, Knoblauch, Nicholas W, Chen, Constance, Kraft, Peter, Barnes, Daniel, González-Neira, Anna, Alonso, M Rosario, Herrero, Daniel, Tessier, Daniel C, Vincent, Daniel, Bacot, Francois, Luccarini, Craig, Baynes, Caroline, Conroy, Don, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Hopper, John L, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Verhoef, Senno, Cornelissen, Sten, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Fasching, Peter A, Loehberg, Christian R, Ekici, Arif B, Beckmann, Matthias W, Peto, Julian, dos Santos Silva, Isabel, Johnson, Nichola, Aitken, Zoe, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Guénel, Pascal, Truong, Thérèse, Laurent-Puig, Pierre, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Milne, Roger L, Zamora, M Pilar, Perez, Jose Ignacio Arias, Benitez, Javier, Anton-Culver, Hoda, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Stegmaier, Christa, Meindl, Alfons, Lichtner, Peter, Schmutzler, Rita K, Engel, Christoph, Brauch, Hiltrud, Hamann, Ute, Justenhoven, Christina, Network, The GENICA, Aaltonen, Kirsimari, Heikkilä, Päivi, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Sueta, Aiko, Bogdanova, Natalia V, Antonenkova, Natalia N, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, and Kataja, Vesa
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Breast Cancer, Cancer, Aetiology, 2.1 Biological and endogenous factors, Binding Sites, Breast Neoplasms, Case-Control Studies, Cell Line, Tumor, Chromatin, Chromatin Immunoprecipitation, Chromosomes, Human, Pair 11, Cyclin D1, Electrophoretic Mobility Shift Assay, Enhancer Elements, Genetic, Female, GATA3 Transcription Factor, Gene Expression Regulation, Neoplastic, Humans, Luciferases, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, RNA, Messenger, RNA, Small Interfering, Real-Time Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction, Silencer Elements, Transcriptional, ets-Domain Protein Elk-4, GENICA Network, kConFab Investigators, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract: Analysis of 4,405 variants in 89,050 European subjects from 41 case-control studies identified three independent association signals for estrogen-receptor-positive tumors at 11q13. The strongest signal maps to a transcriptional enhancer element in which the G allele of the best candidate causative variant rs554219 increases risk of breast cancer, reduces both binding of ELK4 transcription factor and luciferase activity in reporter assays, and may be associated with low cyclin D1 protein levels in tumors. Another candidate variant, rs78540526, lies in the same enhancer element. Risk association signal 2, rs75915166, creates a GATA3 binding site within a silencer element. Chromatin conformation studies demonstrate that these enhancer and silencer elements interact with each other and with their likely target gene, CCND1.
Published: 2013

47. Genome-wide association studies identify four ER negative-specific breast cancer risk loci.

Author: Garcia-Closas, Montserrat, Couch, Fergus J, Lindstrom, Sara, Michailidou, Kyriaki, Schmidt, Marjanka K, Brook, Mark N, Orr, Nick, Rhie, Suhn Kyong, Riboli, Elio, Feigelson, Heather S, Le Marchand, Loic, Buring, Julie E, Eccles, Diana, Miron, Penelope, Fasching, Peter A, Brauch, Hiltrud, Chang-Claude, Jenny, Carpenter, Jane, Godwin, Andrew K, Nevanlinna, Heli, Giles, Graham G, Cox, Angela, Hopper, John L, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Dicks, Ed, Howat, Will J, Schoof, Nils, Bojesen, Stig E, Lambrechts, Diether, Broeks, Annegien, Andrulis, Irene L, Guénel, Pascal, Burwinkel, Barbara, Sawyer, Elinor J, Hollestelle, Antoinette, Fletcher, Olivia, Winqvist, Robert, Brenner, Hermann, Mannermaa, Arto, Hamann, Ute, Meindl, Alfons, Lindblom, Annika, Zheng, Wei, Devillee, Peter, Goldberg, Mark S, Lubinski, Jan, Kristensen, Vessela, Swerdlow, Anthony, Anton-Culver, Hoda, Dörk, Thilo, Muir, Kenneth, Matsuo, Keitaro, Wu, Anna H, Radice, Paolo, Teo, Soo Hwang, Shu, Xiao-Ou, Blot, William, Kang, Daehee, Hartman, Mikael, Sangrajrang, Suleeporn, Shen, Chen-Yang, Southey, Melissa C, Park, Daniel J, Hammet, Fleur, Stone, Jennifer, Veer, Laura J Van't, Rutgers, Emiel J, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Peto, Julian, Schrauder, Michael G, Ekici, Arif B, Beckmann, Matthias W, Dos Santos Silva, Isabel, Johnson, Nichola, Warren, Helen, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Marme, Federick, Schneeweiss, Andreas, Sohn, Christof, Truong, Therese, Laurent-Puig, Pierre, Kerbrat, Pierre, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Milne, Roger L, Perez, Jose Ignacio Arias, Menéndez, Primitiva, Müller, Heiko, Arndt, Volker, Stegmaier, Christa, Lichtner, Peter, Lochmann, Magdalena, and Justenhoven, Christina
Subjects: Gene ENvironmental Interaction and breast CAncer (GENICA) Network, kConFab Investigators, Familial Breast Cancer Study, Australian Breast Cancer Tissue Bank (ABCTB) Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Receptors, Estrogen, Oligonucleotide Array Sequence Analysis, Risk Factors, Case-Control Studies, Cooperative Behavior, Genotype, Polymorphism, Single Nucleotide, Female, Meta-Analysis as Topic, Genome-Wide Association Study, Genetic Loci, Genetics, Human Genome, Estrogen, Breast Cancer, Cancer, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract: Estrogen receptor (ER)-negative tumors represent 20-30% of all breast cancers, with a higher proportion occurring in younger women and women of African ancestry. The etiology and clinical behavior of ER-negative tumors are different from those of tumors expressing ER (ER positive), including differences in genetic predisposition. To identify susceptibility loci specific to ER-negative disease, we combined in a meta-analysis 3 genome-wide association studies of 4,193 ER-negative breast cancer cases and 35,194 controls with a series of 40 follow-up studies (6,514 cases and 41,455 controls), genotyped using a custom Illumina array, iCOGS, developed by the Collaborative Oncological Gene-environment Study (COGS). SNPs at four loci, 1q32.1 (MDM4, P = 2.1 × 10(-12) and LGR6, P = 1.4 × 10(-8)), 2p24.1 (P = 4.6 × 10(-8)) and 16q12.2 (FTO, P = 4.0 × 10(-8)), were associated with ER-negative but not ER-positive breast cancer (P > 0.05). These findings provide further evidence for distinct etiological pathways associated with invasive ER-positive and ER-negative breast cancers.
Published: 2013

48. A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11

Author: Siddiq, Afshan, Couch, Fergus J, Chen, Gary K, Lindström, Sara, Eccles, Diana, Millikan, Robert C, Michailidou, Kyriaki, Stram, Daniel O, Beckmann, Lars, Rhie, Suhn Kyong, Ambrosone, Christine B, Aittomäki, Kristiina, Amiano, Pilar, Apicella, Carmel, Investigators, Australian Breast Cancer Tissue Bank, Baglietto, Laura, Bandera, Elisa V, Beckmann, Matthias W, Berg, Christine D, Bernstein, Leslie, Blomqvist, Carl, Brauch, Hiltrud, Brinton, Louise, Bui, Quang M, Buring, Julie E, Buys, Saundra S, Campa, Daniele, Carpenter, Jane E, Chasman, Daniel I, Chang-Claude, Jenny, Chen, Constance, Clavel-Chapelon, Françoise, Cox, Angela, Cross, Simon S, Czene, Kamila, Deming, Sandra L, Diasio, Robert B, Diver, W Ryan, Dunning, Alison M, Durcan, Lorraine, Ekici, Arif B, Fasching, Peter A, Study, Familial Breast Cancer, Feigelson, Heather Spencer, Fejerman, Laura, Figueroa, Jonine D, Fletcher, Olivia, Flesch-Janys, Dieter, Gaudet, Mia M, Consortium, The GENICA, Gerty, Susan M, Rodriguez-Gil, Jorge L, Giles, Graham G, van Gils, Carla H, Godwin, Andrew K, Graham, Nikki, Greco, Dario, Hall, Per, Hankinson, Susan E, Hartmann, Arndt, Hein, Rebecca, Heinz, Judith, Hoover, Robert N, Hopper, John L, Hu, Jennifer J, Huntsman, Scott, Ingles, Sue A, Irwanto, Astrid, Isaacs, Claudine, Jacobs, Kevin B, John, Esther M, Justenhoven, Christina, Kaaks, Rudolf, Kolonel, Laurence N, Coetzee, Gerhard A, Lathrop, Mark, Le Marchand, Loic, Lee, Adam M, Lee, I-Min, Lesnick, Timothy, Lichtner, Peter, Liu, Jianjun, Lund, Eiliv, Makalic, Enes, Martin, Nicholas G, McLean, Catriona A, Meijers-Heijboer, Hanne, Meindl, Alfons, Miron, Penelope, Monroe, Kristine R, Montgomery, Grant W, Müller-Myhsok, Bertram, Nickels, Stefan, Nyante, Sarah J, Olswold, Curtis, Overvad, Kim, Palli, Domenico, Park, Daniel J, Palmer, Julie R, and Pathak, Harsh
Subjects: Biological Sciences, Genetics, Clinical Research, Aging, Human Genome, Breast Cancer, Cancer, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Receptors, Estrogen, Australian Breast Cancer Tissue Bank Investigators, Familial Breast Cancer Study, GENICA Consortium, Medical and Health Sciences, Genetics & Heredity
Abstract: Genome-wide association studies (GWAS) of breast cancer defined by hormone receptor status have revealed loci contributing to susceptibility of estrogen receptor (ER)-negative subtypes. To identify additional genetic variants for ER-negative breast cancer, we conducted the largest meta-analysis of ER-negative disease to date, comprising 4754 ER-negative cases and 31 663 controls from three GWAS: NCI Breast and Prostate Cancer Cohort Consortium (BPC3) (2188 ER-negative cases; 25 519 controls of European ancestry), Triple Negative Breast Cancer Consortium (TNBCC) (1562 triple negative cases; 3399 controls of European ancestry) and African American Breast Cancer Consortium (AABC) (1004 ER-negative cases; 2745 controls). We performed in silico replication of 86 SNPs at P ≤ 1 × 10(-5) in an additional 11 209 breast cancer cases (946 with ER-negative disease) and 16 057 controls of Japanese, Latino and European ancestry. We identified two novel loci for breast cancer at 20q11 and 6q14. SNP rs2284378 at 20q11 was associated with ER-negative breast cancer (combined two-stage OR = 1.16; P = 1.1 × 10(-8)) but showed a weaker association with overall breast cancer (OR = 1.08, P = 1.3 × 10(-6)) based on 17 869 cases and 43 745 controls and no association with ER-positive disease (OR = 1.01, P = 0.67) based on 9965 cases and 22 902 controls. Similarly, rs17530068 at 6q14 was associated with breast cancer (OR = 1.12; P = 1.1 × 10(-9)), and with both ER-positive (OR = 1.09; P = 1.5 × 10(-5)) and ER-negative (OR = 1.16, P = 2.5 × 10(-7)) disease. We also confirmed three known loci associated with ER-negative (19p13) and both ER-negative and ER-positive breast cancer (6q25 and 12p11). Our results highlight the value of large-scale collaborative studies to identify novel breast cancer risk loci.
Published: 2012

49. 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

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

Author: Milne, Roger L., Kuchenbaecker, Karoline B., Michailidou, Kyriaki, Beesley, Jonathan, Kar, Siddhartha, Lindstrom, Sara, Hui, Shirley, Lemaçon, Audrey, Soucy, Penny, Dennis, Joe, Jiang, Xia, Rostamianfar, Asha, Finucane, Hilary, Bolla, Manjeet K., McGuffog, Lesley, Wang, Qin, Aalfs, Cora M., Abctctb, Investigators, Adams, Marcia, Adlard, Julian, Agata, Simona, Ahmed, Shahana, Ahsan, Habibul, Aittom, Kristiina Äki, Fares, Al Ejeh, Allen, Jamie, Ambrosone, Christine B., Amos, Christopher I., Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Arndt, Volker, Arnold, Norbert, Aronson, Kristan J., Auber, Bernd, Auer, Paul L., Ausems, Margreet G.M., Azzollini, Jacopo, François, Bacot, Balma, Judith Nã, Barile, Monica, Barjhoux, Laure, Barkardottir, Rosa B., Barrdahl, Myrto, Barnes, Daniel, Barrowdale, Daniel, Baynes, Caroline, Beckmann, Matthias W., Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Bignon, Yves Jean, Blazer, Kathleen R., Blok, Marinus J., Blomqvist, Carl, Blot, William, Bobolis, Kristie, Boeckx, Bram, Bogdanova, Natalia V., Bojesen, Anders, Bojesen, Stig E., Bonanni, Bernardo, Anne-Lise, Børresen Dale, Bozsik, Aniko, Bradbury, Angela R., Brand, Judith S., Brauch, Hiltrud, Brenner, Hermann, Brigitte, Bressac De Paillerets, Brewer, Carole, Brinton, Louise, Broberg, Per, Angela, Brooks Wilson, Brunet, Joan, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S., Byun, Jinyoung, Cai, Qiuyin, Cald, Trinidad És, Caligo, Maria A., Campbell, Ian, Canzian, Federico, Caron, Olivier, Carracedo, Angel, Carter, Brian D., Esteban, Castelao, Castera, Laurent, Virginie, Caux Moncoutier, Chan, Salina B., Jenny, Chang Claude, Chanock, Stephen J., Chen, Xiaoqing, Cheng, Ting Yuan David, Chiquette, Jocelyne, Christiansen, Hans, Claes, Kathleen B., Clarke, Christine L., Conner, Thomas, Conroy, Don M., Cook, Jackie, Cordina-Duverger, Emilie, Cornelissen, Sten, Coupier, Isabelle, Cox, Angela, Cox, David G., Cross, Simon S., Cuk, Katarina, Cunningham, J. M., Czene, Kamila, Daly, Mary B., Damiola, Francesca, Darabi, Hatef, Davidson, Rosemarie, Leeneer, Kim De L., Devilee, Peter, Dicks, Ed, Diez, Orland, Ding, Yuan Chun, Ditsch, Nina, Doheny, Kimberly F., Domchek, Susan M., Dorfling, Cecilia M., Dörk, Thilo, Dos-Santos-Silva, Isabel, Dubois, Stéphane, Dugué, Pierre Antoine, Dumont, Martine, Dunning, Alison M., Durcan, Lorraine, Dwek, Miriam, Dworniczak, Bernd, Eccles, Diana, Eeles, Ros, Ehrencrona, Hans, Eilber, Ursula, Ejlertsen, Bent, Ekici, Arif B., Eliassen, A. Heather, Engel, Christoph, Eriksson, Mikael, Fachal, Laura, Faivre, Laurence, Fasching, Peter A., Faust, Ulrike, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Foulkes, William D., Friedman, Eitan, Fritschi, Lin, Frost, Debra, Gabrielson, Marike, Gaddam, Pragna, Gammon, Marilie D., Ganz, Patricia A., Gapstur, Susan M., Garber, Judy, Garcia-Barberan, Vanesa, Garciá-Saénz, José A., Gaudet, Mia M., Gauthier-Villars, Marion, Gehrig, Andrea, Georgoulias, Vassilios, Gerdes, Anne Marie, Giles, Graham G., Glendon, Gord, Godwin, Andrew K., Goldberg, Mark S., Goldgar, David E., González-Neira, Anna, Goodfellow, Paul, Greene, Mark H., Grenaker, Grethe Alnæs I., Grip, Mervi, Gronwald, Jacek, Grundy, Anne, Gschwantler, Daphne Kaulich, Guénel, Pascal, Guo, Qi, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hallberg, Emily, Hamann, Ute, Hamel, Nathalie, Hankinson, Susan, Hansen, Thomas V., Harrington, Patricia, Hart, Steven N., Hartikainen, Jaana M., Healey, Catherine S., Hein, Alexander, Helbig, Sonja, Henderson, Alex, Heyworth, Jane, Hicks, Belynda, Hillemanns, Peter, Hodgson, Shirley, Hogervorst, Frans B., Hollestelle, Antoinette, Hooning, Maartje J., Hoover, Bob, Hopper, John L., Hu, Chunling, Huang, Guanmengqian, Hulick, Peter J., Humphreys, Keith, Hunter, David J., Imyanitov, Evgeny N., Isaacs, Claudine, Iwasaki, Motoki, Izatt, Louise, Jakubowska, Anna, James, Paul, Janavicius, Ramunas, Janni, Wolfgang, Jensen, Uffe Birk, John, Esther M., Johnson, Nichola, Jones, Kristine, Jones, Michael, Jukkola-Vuorinen, Arja, Kaaks, Rudolf, Kabisch, Maria, Kaczmarek, Katarzyna, Kang, Daehee, Kast, Karin, Keeman, Renske, Kerin, Michael J., Kets, Carolien M., Keupers, Mac Hteld, Khan, Sofia, Khusnutdinova, Elza, Kiiski, Johanna I., Kim, Sung Won, Knight, Julia A., Konstantopoulou, Irene, Kosma, Veli Matti, Kristensen, Vessela N., Kruse, Torben A., Kwong, Ava, Lænkholm, Anne Vibeke, Laitman, Yael, Lalloo, Fiona, Lambrechts, Diether, Landsman, Keren, Lasset, Christine, Lazaro, Conxi, Marchand, Loic Le, Lindström, Sara, Al-Ejeh, Fares, Margreet, G. M.Ausems, Bacot, François, Børresen-Dale, Anne Lise, Bressac-De, Brigitte Paillerets, Brooks-Wilson, Angela, Castelao, J. Esteban, Caux-Moncoutier, Virginie, Chang-Claude, Jenny, McLaes, Kathleen B., Leeneer, Kim De, Dieter, Flesch Janys, Gschwantler-Kaulich, Daphne, Keupers, MacHteld, Lecarpentier, Julie, Lee, Andrew, Lee, Eunjung, Won, Jong Lee, Lee, Min Hyuk, Lejbkowicz, Flavio, Lesueur, Fabienne, Li, Jingmei, Lilyquist, Jenna, Lincoln, Anne, Lindblom, Annika, Lissowska, Jolanta, Lo, Wing Yee, Loibl, Sibylle, Long, Jirong, Loud, Jennifer T., Lubinski, Jan, Luccarini, Craig, Lush, Michael, MacInnis, Robert J., Maishman, Tom, Makalic, Enes, Kostovska, Ivana Maleva, Malone, Kathleen E., Siranoush, Manoukian, Manson, Joann E., Margolin, Sara, Martens, John W., Martinez, Maria Elena, Matsuo, Keitaro, Mavroudis, Dimitrios, Mazoyer, Sylvie, McLean, Catriona, Meijers-Heijboer, Hanne, Menéndez, Primitiva, Meyer, Jeffery, Miao, Hui, Miller, Austin, Miller, Nicola, Mitchell, Gillian, Montagna, Marco, Muir, Kenneth, Mulligan, Anna Marie, Mulot, Claire, Nadesan, Sue, Nathanson, Katherine L., Neuhausen, Susan L., Nevanlinna, Heli, Nevelsteen, Ines, Niederacher, Dieter, Nielsen, Sune F., Nordestgaard, Børge G., Norman, Aaron, Nussbaum, Robert L., Olah, Edith, Olopade, Olufunmilayo I., Olson, Janet E., Olswold, Curtis, Ong, Kai Ren, Oosterwijk, Jan C., Orr, Nick, Osorio, Ana, Pankratz, V. Shane, Papi, Laura, Park-Simon, Tjoung Won, Paulsson-Karlsson, Ylva, Lloyd, Rachel, Pedersen, Inge Søkilde, Peissel, Bernard, Peixoto, Ana, Perez, Jose I., Peterlongo, Paolo, Peto, Julian, Pfeiler, Georg, Phelan, Catherine M., Pinchev, Mila, Plaseska-Karanfilska, Dijana, Poppe, Bruce, Porteous, Mary E., Prentice, Ross, Presneau, Nadege, Prokofieva, Darya, Pugh, Elizabeth, Pujana, Miquel Angel, Pylkäs, Katri, Rack, Brigitte, Radice, Paolo, Rahman, Nazneen, Rantala, Johanna, Rappaport-Fuerhauser, Christine, Rennert, Gad, Rennert, Hedy S., Rhenius, Valerie, Rhiem, Kerstin, Richardson, Andrea, Rodriguez, Gustavo C., Romero, Atocha, Romm, Jane, Rookus, Matti A., Rudolph, Anja, Ruediger, Thomas, Saloustros, Emmanouil, Sanders, Joyce, Sandler, Dale P., Sangrajrang, Suleeporn, Sawyer, Elinor J., Schmidt, Daniel F., Schoemaker, Minouk J., Schumacher, Fredrick, Schürmann, Peter, Schwentner, Lukas, Scott, Christopher, Scott, Rodney J., Seal, Sheila, Senter, Leigha, Seynaeve, Caroline, Shah, Mitul, Sharma, Priyanka, Shen, Chen Yang, Sheng, Xin, Shimelis, Hermela, Shrubsole, Martha J., Shu, Xiao Ou, Side, Lucy E., Singer, Christian F., Sohn, Christof, Southey, Melissa C., Spinelli, John J., Spurdle, Amanda B., Stegmaier, Christa, Stoppa-Lyonnet, Dominique, Sukiennicki, Grzegorz, Surowy, Harald, Sutter, Christian, Swerdlow, Anthony, Szabo, Csilla I., Tamimi, Rulla M., Tan, Yen Y., Taylor, Jack A., Tejada, Maria Isabel, Tengström, Maria, Teo, Soo H., Terry, Mary B., Tessier, Daniel C., Teul, Alex E., Thöne, Kathrin, Thull, Darcy L., Tibiletti, Maria Grazia, Tihomirova, Laima, Tischkowitz, Marc, Toland, Amanda E., Tollenaar, Rob A.M., Tomlinson, Ian, Tong, Ling, Torres, Diana, Tranchant, Martine, Truong, Thérèse, Tucker, Kathy, Tung, Nadine, Tyrer, Jonathan, Ulmer, Hans Ulrich, Vachon, Celine, Christi, Van Asperen J., Den Berg, David Van, Ouweland, Ans M.Vanden, Rensburg, Elizabeth J., Varesco, Liliana, Varon-Mateeva, Raymonda, Vega, Ana, Viel, Alessandra, Vijai, Joseph, Vincent, Daniel, Vollenweider, Jason, Walker, Lisa, Wang, Zhaoming, Wang-Gohrke, Shan, Wappenschmidt, Barbara, Weinberg, Clarice R., Weitzel, Jeffrey N., Wendt, Camilla, Wesseling, Jelle, Whittemore, Alice S., Wijnen, Juul T., Willett, Walter, Winqvist, Robert, Wolk, Alicja, Wu, Anna H., Xia, Lucy, Yang, Xiaohong R., Yannoukakos, Drakoulis, Zaffaroni, Daniela, Zheng, Wei, Zhu, Bin, Ziogas, Argyrios, Ziv, Elad, Zorn, Kristin K., Gago-Dominguez, Manuela, Mannermaa, Arto, Olsson, Håkan, Teixeira, Manuel R., Stone, Jennifer, Offit, Kenneth, Ottini, Laura, Park, Sue K., Thomassen, Mads, Hall, Per, Meindl, Alfons, Schmutzler, Rita K., Droit, Arnaud, Bader, Gary D., Pharoah, Paul D., Couch, Fergus J., Easton, Douglas F., Kraft, Peter, Chenevix-Trench, Georgia, Garciá-Closas, Montserrat, Schmidt, Marjanka K., Antoniou, Antonis C., Simard, Jacques, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Targeted Gynaecologic Oncology (TARGON), Human Genetics, CCA - Cancer biology and immunology, Epidemiology and Data Science, Amsterdam Neuroscience - Complex Trait Genetics, Human genetics, Amsterdam Reproduction & Development (AR&D), Clinical Genetics, Medical Oncology, Internal Medicine, Obstetrics & Gynecology, MUMC+: DA KG Lab Centraal Lab (9), and RS: GROW - R4 - Reproductive and Perinatal Medicine
Subjects: 0301 basic medicine, Oncology, Estrogen receptor, Genome-wide association study, consortium, Gene mutation, DISEASE, Breast cancer, Risk Factors, Receptors, common variants, BRCA2 MUTATION CARRIERS, Medicine and Health Sciences, CONFER SUSCEPTIBILITY, skin and connective tissue diseases, ovarian cancers, BRCA1 Protein, COMMON VARIANTS, Single Nucleotide, OVARIAN CANCERS, 3. Good health, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], Receptors, Estrogen, functional variants, Female, estrogen receptor, SNPs, EXPRESSION, medicine.medical_specialty, Heterozygote, SUSCEPTIBILITY LOCI, European Continental Ancestry Group, Breast cancer, estrogen receptor, SNPs, Single-nucleotide polymorphism, Breast Neoplasms, Biology, Polymorphism, Single Nucleotide, White People, Article, Càncer de mama, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Internal medicine, expression, medicine, Genetic predisposition, Genetics, Journal Article, Humans, Genetic Predisposition to Disease, ddc:610, Risk factor, Polymorphism, GENOME-WIDE ASSOCIATION, FUNCTIONAL VARIANTS, disease, CONSORTIUM, Case-control study, Biology and Life Sciences, medicine.disease, confer susceptibility, Estrogen, susceptibility loci, 030104 developmental biology, Mutation, genome-wide association, brca2 mutation carriers, Genome-Wide Association Study
Abstract: Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease1. We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin. We identified independent associations at P < 5 × 10−8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.
Published: 2017

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