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48 results on '"Jones, Michael E."'

1. Associations of a Breast Cancer Polygenic Risk Score With Tumor Characteristics and Survival

Author

Lopes Cardozo, Josephine MN, Andrulis, Irene L, Bojesen, Stig E, Dörk, Thilo, Eccles, Diana M, Fasching, Peter A, Hooning, Maartje J, Keeman, Renske, Nevanlinna, Heli, Rutgers, Emiel JT, Easton, Douglas F, Hall, Per, Pharoah, Paul DP, van 't Veer, Laura J, Schmidt, Marjanka K, Ahearn, Thomas U, Anton-Culver, Hoda, Arndt, Volker, Auer, Paul L, Augustinsson, Annelie, Beane Freeman, Laura E, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bolla, Manjeet K, Bonanni, Bernardo, Boyle, Terry, Brenner, Hermann, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Camp, Nicola J, Canzian, Federico, Cardoso, Fatima, Castelao, Jose E, Cessna, Melissa H, Chan, Tsun L, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Choi, Ji-Yeob, Colonna, Sarah V, Copson, Ellen, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Dennis, Joe, Devilee, Peter, Drukker, Caroline A, Dunning, Alison M, Dwek, Miriam, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Figueroa, Jonine D, Fletcher, Olivia, Flyger, Henrik, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Genkinger, Jeanine, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Hartman, Mikael, Heemskerk-Gerritsen, Bernadette AM, Hein, Alexander, Ho, Weang-Kee, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Hunter, David J, Ito, Hidemi, Jakubowska, Anna, Jernström, Helena, John, Esther M, Johnson, Nichola, Jones, Michael E, Joseph, Vijai, Kaaks, Rudolf, Kang, Daehee, Kim, Sung-Won, Kitahara, Cari M, Koppert, Linetta B, Kosma, Veli-Matti, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, and Koutros, Stella

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Breast Cancer, Cancer, Good Health and Well Being, Female, Humans, Breast Neoplasms, Risk Factors, Prognosis, Proportional Hazards Models, Breast, Breast Cancer Association Consortium and MINDACT Collaborators, Clinical Sciences, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

PurposeA polygenic risk score (PRS) consisting of 313 common genetic variants (PRS313) is associated with risk of breast cancer and contralateral breast cancer. This study aimed to evaluate the association of the PRS313 with clinicopathologic characteristics of, and survival following, breast cancer.MethodsWomen with invasive breast cancer were included, 98,397 of European ancestry and 12,920 of Asian ancestry, from the Breast Cancer Association Consortium (BCAC), and 683 women from the European MINDACT trial. Associations between PRS313 and clinicopathologic characteristics, including the 70-gene signature for MINDACT, were evaluated using logistic regression analyses. Associations of PRS313 (continuous, per standard deviation) with overall survival (OS) and breast cancer-specific survival (BCSS) were evaluated with Cox regression, adjusted for clinicopathologic characteristics and treatment.ResultsThe PRS313 was associated with more favorable tumor characteristics. In BCAC, increasing PRS313 was associated with lower grade, hormone receptor-positive status, and smaller tumor size. In MINDACT, PRS313 was associated with a low risk 70-gene signature. In European women from BCAC, higher PRS313 was associated with better OS and BCSS: hazard ratio (HR) 0.96 (95% CI, 0.94 to 0.97) and 0.96 (95% CI, 0.94 to 0.98), but the association disappeared after adjustment for clinicopathologic characteristics (and treatment): OS HR, 1.01 (95% CI, 0.98 to 1.05) and BCSS HR, 1.02 (95% CI, 0.98 to 1.07). The results in MINDACT and Asian women from BCAC were consistent.ConclusionAn increased PRS313 is associated with favorable tumor characteristics, but is not independently associated with prognosis. Thus, PRS313 has no role in the clinical management of primary breast cancer at the time of diagnosis. Nevertheless, breast cancer mortality rates will be higher for women with higher PRS313 as increasing PRS313 is associated with an increased risk of disease. This information is crucial for modeling effective stratified screening programs.

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. Hypertensive conditions of pregnancy, preterm birth, and premenopausal breast cancer risk: a premenopausal breast cancer collaborative group analysis

Author

Nichols, Hazel B., House, Melissa G., Yarosh, Rina, Mitra, Sara, Goldberg, Mandy, Bertrand, Kimberly A., Eliassen, A. Heather, Giles, Graham G., Jones, Michael E., Milne, Roger L., O’Brien, Katie M., Palmer, Julie R., Sandin, Sven, Willett, Walter C., Yin, Weiyao, Sandler, Dale P., Swerdlow, Anthony J., and Schoemaker, Minouk J.

Published
2023
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5. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author

Ahearn, Thomas U, Zhang, Haoyu, Michailidou, Kyriaki, Milne, Roger L, Bolla, Manjeet K, Dennis, Joe, Dunning, Alison M, Lush, Michael, Wang, Qin, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Augustinsson, Annelie, Baten, Adinda, Becher, Heiko, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, Collée, J Margriet, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dwek, Miriam, Eccles, Diana M, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Floris, Giuseppe, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Alnæs, Grethe I Grenaker, Grip, Mervi, Guénel, Pascal, Haiman, Christopher A, Hall, Per, Hamann, Ute, Harkness, Elaine F, Heemskerk-Gerritsen, Bernadette AM, Holleczek, Bernd, Hollestelle, Antoinette, Hooning, Maartje J, Hoover, Robert N, Hopper, John L, Howell, Anthony, Jakimovska, Milena, Jakubowska, Anna, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Kauppila, Saila, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kristensen, Vessela N, Krüger, Ute, Kubelka-Sabit, Katerina, Kurian, Allison W, Kyriacou, Kyriacos, Lambrechts, Diether, Lee, Derrick G, Lindblom, Annika, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, Lo, Wing-Yee, MacInnis, Robert J, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, and McLean, Catriona

Subjects
Human Genome, Cancer, Genetics, Clinical Research, Breast Cancer, 2.1 Biological and endogenous factors, Aetiology, Biomarkers, Tumor, Breast Neoplasms, Female, Genome-Wide Association Study, Humans, Receptor, ErbB-2, Receptors, Estrogen, Receptors, Progesterone, Risk, Breast cancer, Etiologic heterogeneity, Genetic predisposition, Common breast cancer susceptibility variants, NBCS Collaborators, ABCTB Investigators, kConFab/AOCS Investigators, Receptor, erbB-2, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

BackgroundGenome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear.MethodsAmong 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes.ResultsEighty-five of 173 variants were associated with at least one tumor feature (false discovery rate

Published
2022

6. Genome-wide interaction analysis of menopausal hormone therapy use and breast cancer risk among 62,370 women

Author

Wang, Xiaoliang, Kapoor, Pooja Middha, Auer, Paul L, Dennis, Joe, Dunning, Alison M, Wang, Qin, Lush, Michael, Michailidou, Kyriaki, Bolla, Manjeet K, Aronson, Kristan J, Murphy, Rachel A, Brooks-Wilson, Angela, Lee, Derrick G, Cordina-Duverger, Emilie, Guénel, Pascal, Truong, Thérèse, Mulot, Claire, Teras, Lauren R, Patel, Alpa V, Dossus, Laure, Kaaks, Rudolf, Hoppe, Reiner, Lo, Wing-Yee, Brüning, Thomas, Hamann, Ute, Czene, Kamila, Gabrielson, Marike, Hall, Per, Eriksson, Mikael, Jung, Audrey, Becher, Heiko, Couch, Fergus J, Larson, Nicole L, Olson, Janet E, Ruddy, Kathryn J, Giles, Graham G, MacInnis, Robert J, Southey, Melissa C, Le Marchand, Loic, Wilkens, Lynne R, Haiman, Christopher A, Olsson, Håkan, Augustinsson, Annelie, Krüger, Ute, Wagner, Philippe, Scott, Christopher, Winham, Stacey J, Vachon, Celine M, Perou, Charles M, Olshan, Andrew F, Troester, Melissa A, Hunter, David J, Eliassen, Heather A, Tamimi, Rulla M, Brantley, Kristen, Andrulis, Irene L, Figueroa, Jonine, Chanock, Stephen J, Ahearn, Thomas U, García-Closas, Montserrat, Evans, Gareth D, Newman, William G, van Veen, Elke M, Howell, Anthony, Wolk, Alicja, Håkansson, Niclas, Anton-Culver, Hoda, Ziogas, Argyrios, Jones, Michael E, Orr, Nick, Schoemaker, Minouk J, Swerdlow, Anthony J, Kitahara, Cari M, Linet, Martha, Prentice, Ross L, Easton, Douglas F, Milne, Roger L, Kraft, Peter, Chang-Claude, Jenny, and Lindström, Sara

Subjects
Genetics, Cancer, Aging, Human Genome, Breast Cancer, Prevention, Estrogen, 2.1 Biological and endogenous factors, Aetiology, Breast, Breast Neoplasms, Estrogen Replacement Therapy, Female, Hormone Replacement Therapy, Humans, Male, Menopause, Risk Factors
Abstract

Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values

Published
2022

7. Rare germline copy number variants (CNVs) and breast cancer risk

Author

Dennis, Joe, Tyrer, Jonathan P, Walker, Logan C, Michailidou, Kyriaki, Dorling, Leila, Bolla, Manjeet K, Wang, Qin, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Freeman, Laura E Beane, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Brenner, Hermann, Castelao, Jose E, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Clarke, Christine L, Collée, J Margriet, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Hall, Per, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John L, Howell, Anthony, Jager, Agnes, Jakubowska, Anna, John, Esther M, Johnson, Nichola, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Ko, Yon-Dschun, Kosma, Veli-Matti, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Lacey, James V, Lambrechts, Diether, Larson, Nicole L, Linet, Martha, Ogrodniczak, Alicja, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Mavroudis, Dimitrios, Milne, Roger L, Muranen, Taru A, Murphy, Rachel A, Nevanlinna, Heli, Olson, Janet E, Olsson, Håkan, Park-Simon, Tjoung-Won, Perou, Charles M, Peterlongo, Paolo, Plaseska-Karanfilska, Dijana, Pylkäs, Katri, Rennert, Gad, Saloustros, Emmanouil, Sandler, Dale P, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Shibli, Rana, Smeets, Ann, and Soucy, Penny

Subjects
Human Genome, Breast Cancer, Genetics, Clinical Research, Cancer, Prevention, 2.1 Biological and endogenous factors, Aetiology, Breast Neoplasms, Case-Control Studies, DNA Copy Number Variations, Female, Genome, Human, Genome-Wide Association Study, Germ Cells, Humans, Risk Factors, NBCS Collaborators, CTS Consortium, ABCTB Investigators, kConFab/AOCS Investigators
Abstract

Germline copy number variants (CNVs) are pervasive in the human genome but potential disease associations with rare CNVs have not been comprehensively assessed in large datasets. We analysed rare CNVs in genes and non-coding regions for 86,788 breast cancer cases and 76,122 controls of European ancestry with genome-wide array data. Gene burden tests detected the strongest association for deletions in BRCA1 (P = 3.7E-18). Nine other genes were associated with a p-value

Published
2022

8. Genome-Wide Interaction Analysis of Menopausal Hormone Therapy Use and Breast Cancer Risk Among 62,370 Women

Author

Wang, Xiaoliang, Kapoor, Pooja Middha, Auer, Paul L, Dennis, Joe, Dunning, Alison M, Wang, Qin, Lush, Michael, Michailidou, Kyriaki, Bolla, Manjeet K, Aronson, Kristan J, Murphy, Rachel A, Brooks-Wilson, Angela, Lee, Derrick G, Cordina-Duverger, Emilie, Guénel, Pascal, Truong, Thérèse, Mulot, Claire, Teras, Lauren R, Patel, Alpa V, Dossus, Laure, Kaaks, Rudolf, Hoppe, Reiner, Lo, Wing-Yee, Brüning, Thomas, Hamann, Ute, Czene, Kamila, Gabrielson, Marike, Hall, Per, Eriksson, Mikael, Jung, Audrey, Becher, Heiko, Couch, Fergus J, Larson, Nicole L, Olson, Janet E, Ruddy, Kathryn J, Giles, Graham G, MacInnis, Robert J, Southey, Melissa C, Marchand, Loic Le, Wilkens, Lynne R, Haiman, Christopher A, Olsson, Håkan, Augustinsson, Annelie, Krüger, Ute, Wagner, Philippe, Scott, Christopher, Winham, Stacey J, Vachon, Celine M, Perou, Charles M, Olshan, Andrew F, Troester, Melissa A, Hunter, David J, Eliassen, A Heather, Tamimi, Rulla M, Brantley, Kristen, Andrulis, Irene L, Figueroa, Jonine, Chanock, Stephen J, Ahearn, Thomas U, García-Closas, Montserrat, Evans, Gareth D, Newman, William G, Veen, Elke M van, Howell, Anthony, Wolk, Alicja, Håkansson, Niclas, Anton-Culver, Hoda, Ziogas, Argyrios, Jones, Michael E, Orr, Nick, Schoemaker, Minouk J, Swerdlow, Anthony J, Kitahara, Cari M, Linet, Martha, Prentice, Ross L, Easton, Douglas F, Milne, Roger L, Kraft, Peter, Chang-Claude, Jenny, and Lindström, Sara

Subjects
Cancer, Prevention, Breast Cancer, Genetics, Human Genome, Aging, Estrogen, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being
Abstract

Abstract Background: Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. Methods: We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values

Published
2021

9. 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

10. CYP3A7*1C allele: linking premenopausal oestrone and progesterone levels with risk of hormone receptor-positive breast cancers

Author

Johnson, Nichola, Maguire, Sarah, Morra, Anna, Kapoor, Pooja Middha, Tomczyk, Katarzyna, Jones, Michael E, Schoemaker, Minouk J, Gilham, Clare, 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, Baynes, Caroline, Freeman, Laura E Beane, Beckmann, Matthias W, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Boeckx, Bram, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, 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, Dörk, Thilo, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Floris, Giuseppe, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Harrington, Patricia A, Hart, Steven N, Hooning, Maartje J, Hopper, John L, Howell, Anthony, Hunter, David J, Jager, Agnes, Jakubowska, Anna, John, Esther M, Kaaks, Rudolf, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Kosma, Veli-Matti, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kurian, Allison W, Lambrechts, Diether, Le Marchand, Loic, Linet, Martha, Lubiński, Jan, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Martens, John WM, Mavroudis, Dimitrios, Mayes, Rebecca, Meindl, Alfons, Milne, Roger L, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Nielsen, Sune F, Nordestgaard, Børge G, Obi, Nadia, Olshan, Andrew F, and Olson, Janet E

Subjects
Estrogen, Human Genome, Clinical Research, Cancer, Aging, Breast Cancer, Genetics, 2.1 Biological and endogenous factors, Aetiology, Alleles, Breast Neoplasms, Case-Control Studies, Cytochrome P-450 CYP3A, Estrone, Female, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Pregnanediol, Premenopause, Progesterone, Receptors, Estrogen, Receptors, Progesterone, NBCS Collaborators, AOCS Group, ABCTB Investigators, kConFab Investigators, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract

BackgroundEpidemiological studies provide strong evidence for a role of endogenous sex hormones in the aetiology of breast cancer. The aim of this analysis was to identify genetic variants that are associated with urinary sex-hormone levels and breast cancer risk.MethodsWe carried out a genome-wide association study of urinary oestrone-3-glucuronide and pregnanediol-3-glucuronide levels in 560 premenopausal women, with additional analysis of progesterone levels in 298 premenopausal women. To test for the association with breast cancer risk, we carried out follow-up genotyping in 90,916 cases and 89,893 controls from the Breast Cancer Association Consortium. All women were of European ancestry.ResultsFor pregnanediol-3-glucuronide, there were no genome-wide significant associations; for oestrone-3-glucuronide, we identified a single peak mapping to the CYP3A locus, annotated by rs45446698. The minor rs45446698-C allele was associated with lower oestrone-3-glucuronide (-49.2%, 95% CI -56.1% to -41.1%, P = 3.1 × 10-18); in follow-up analyses, rs45446698-C was also associated with lower progesterone (-26.7%, 95% CI -39.4% to -11.6%, P = 0.001) and reduced risk of oestrogen and progesterone receptor-positive breast cancer (OR = 0.86, 95% CI 0.82-0.91, P = 6.9 × 10-8).ConclusionsThe CYP3A7*1C allele is associated with reduced risk of hormone receptor-positive breast cancer possibly mediated via an effect on the metabolism of endogenous sex hormones in premenopausal women.

Published
2021

11. Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies?

Author

Park, JooYong, Choi, Ji-Yeob, Choi, Jaesung, Chung, Seokang, Song, Nan, Park, Sue K, Han, Wonshik, Noh, Dong-Young, Ahn, Sei-Hyun, Lee, Jong Won, Kim, Mi Kyung, Jee, Sun Ha, Wen, Wanqing, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Shah, Mitul, Conroy, Don M, Harrington, Patricia A, Mayes, Rebecca, Czene, Kamila, Hall, Per, Teras, Lauren R, Patel, Alpa V, Couch, Fergus J, Olson, Janet E, Sawyer, Elinor J, Roylance, Rebecca, Bojesen, Stig E, Flyger, Henrik, Lambrechts, Diether, Baten, Adinda, Matsuo, Keitaro, Ito, Hidemi, Guénel, Pascal, Truong, Thérèse, Keeman, Renske, Schmidt, Marjanka K, Wu, Anna H, Tseng, Chiu-Chen, Cox, Angela, Cross, Simon S, kConFab Investigators, Andrulis, Irene L, Hopper, John L, Southey, Melissa C, Wu, Pei-Ei, Shen, Chen-Yang, Fasching, Peter A, Ekici, Arif B, Muir, Kenneth, Lophatananon, Artitaya, Brenner, Hermann, Arndt, Volker, Jones, Michael E, Swerdlow, Anthony J, Hoppe, Reiner, Ko, Yon-Dschun, Hartman, Mikael, Li, Jingmei, Mannermaa, Arto, Hartikainen, Jaana M, Benitez, Javier, González-Neira, Anna, Haiman, Christopher A, Dörk, Thilo, Bogdanova, Natalia V, Teo, Soo Hwang, Mohd Taib, Nur Aishah, Fletcher, Olivia, Johnson, Nichola, Grip, Mervi, Winqvist, Robert, Blomqvist, Carl, Nevanlinna, Heli, Lindblom, Annika, Wendt, Camilla, Kristensen, Vessela N, Nbcs Collaborators, Tollenaar, Rob AEM, Heemskerk-Gerritsen, Bernadette AM, Radice, Paolo, Bonanni, Bernardo, Hamann, Ute, Manoochehri, Mehdi, Lacey, James V, Martinez, Maria Elena, Dunning, Alison M, Pharoah, Paul DP, Easton, Douglas F, Yoo, Keun-Young, and Kang, Daehee

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Human Genome, Estrogen, Prevention, Aging, Genetics, Women's Health, Clinical Research, Cancer, Breast Cancer, 2.1 Biological and endogenous factors, breast cancer, estrogen, gene-environment interaction, Oncology and carcinogenesis
Abstract

In this study we aim to examine gene-environment interactions (GxEs) between genes involved with estrogen metabolism and environmental factors related to estrogen exposure. GxE analyses were conducted with 1970 Korean breast cancer cases and 2052 controls in the case-control study, the Seoul Breast Cancer Study (SEBCS). A total of 11,555 SNPs from the 137 candidate genes were included in the GxE analyses with eight established environmental factors. A replication test was conducted by using an independent population from the Breast Cancer Association Consortium (BCAC), with 62,485 Europeans and 9047 Asians. The GxE tests were performed by using two-step methods in GxEScan software. Two interactions were found in the SEBCS. The first interaction was shown between rs13035764 of NCOA1 and age at menarche in the GE|2df model (p-2df = 1.2 × 10-3). The age at menarche before 14 years old was associated with the high risk of breast cancer, and the risk was higher when subjects had homozygous minor allele G. The second GxE was shown between rs851998 near ESR1 and height in the GE|2df model (p-2df = 1.1 × 10-4). Height taller than 160 cm was associated with a high risk of breast cancer, and the risk increased when the minor allele was added. The findings were not replicated in the BCAC. These results would suggest specificity in Koreans for breast cancer risk.

Published
2021

12. Circulating vitamin D and breast cancer risk: an international pooling project of 17 cohorts

Author

Visvanathan, Kala, Mondul, Alison M., Zeleniuch-Jacquotte, Anne, Wang, Molin, Gail, Mitchell H., Yaun, Shiaw-Shyuan, Weinstein, Stephanie J., McCullough, Marjorie L., Eliassen, A. Heather, Cook, Nancy R., Agnoli, Claudia, Almquist, Martin, Black, Amanda, Buring, Julie E., Chen, Chu, Chen, Yu, Clendenen, Tess, Dossus, Laure, Fedirko, Veronika, Gierach, Gretchen L., Giovannucci, Edward L., Goodman, Gary E., Goodman, Marc T., Guénel, Pascal, Hallmans, Göran, Hankinson, Susan E., Horst, Ronald L., Hou, Tao, Huang, Wen-Yi, Jones, Michael E., Joshu, Corrine E., Kaaks, Rudolf, Krogh, Vittorio, Kühn, Tilman, Kvaskoff, Marina, Lee, I-Min, Mahamat-Saleh, Yahya, Malm, Johan, Manjer, Jonas, Maskarinec, Gertraud, Millen, Amy E., Mukhtar, Toqir K., Neuhouser, Marian L., Robsahm, Trude E., Schoemaker, Minouk J., Sieri, Sabina, Sund, Malin, Swerdlow, Anthony J., Thomson, Cynthia A., Ursin, Giske, Wactawski-Wende, Jean, Wang, Ying, Wilkens, Lynne R., Wu, Yujie, Zoltick, Emilie, Willett, Walter C., Smith-Warner, Stephanie A., and Ziegler, Regina G.

Published
2023
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13. 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

15. PHIP - a novel candidate breast cancer susceptibility locus on 6q14.1

Author

Jiao, Xiang, Aravidis, Christos, Marikkannu, Rajeshwari, Rantala, Johanna, Picelli, Simone, Adamovic, Tatjana, Liu, Tao, Maguire, Paula, Kremeyer, Barbara, Luo, Liping, von Holst, Susanna, Kontham, Vinaykumar, Thutkawkorapin, Jessada, Margolin, Sara, Du, Quan, Lundin, Johanna, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Ambrosone, Christine B, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Beckmann, Matthias W, Blomqvist, Carl, Blot, William, Boeckx, Bram, Bojesen, Stig E, Bonanni, Bernardo, Brand, Judith S, Brauch, Hiltrud, Brenner, Hermann, Broeks, Annegien, Brüning, Thomas, Burwinkel, Barbara, Cai, Qiuyin, Chang-Claude, Jenny, Couch, Fergus J, Cox, Angela, Cross, Simon S, Deming-Halverson, Sandra L, Devilee, Peter, dos-Santos-Silva, Isabel, Dörk, Thilo, Eriksson, Mikael, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Flyger, Henrik, Gabrielson, Marike, García-Closas, Montserrat, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Guo, Qi, Gündert, Melanie, Haiman, Christopher A, Hallberg, Emily, Hamann, Ute, Harrington, Patricia, Hooning, Maartje J, Hopper, John L, Huang, Guanmengqian, Jakubowska, Anna, Jones, Michael E, Kerin, Michael J, Kosma, Veli-Matti, Kristensen, Vessela N, Lambrechts, Diether, Le Marchand, Loic, Lubinski, Jan, Mannermaa, Arto, Martens, John WM, Meindl, Alfons, Milne, Roger L, Mulligan, Anna Marie, Neuhausen, Susan L, Nevanlinna, Heli, Peto, Julian, Pylkäs, Katri, Radice, Paolo, Rhenius, Valerie, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Seynaeve, Caroline, Shah, Mitul, Simard, Jacques, Southey, Melissa C, Swerdlow, Anthony J, Truong, Thérèse, Wendt, Camilla, Winqvist, Robert, Zheng, Wei, Benitez, Javier, Dunning, Alison M, and Pharoah, Paul DP

Subjects
Cancer, Prevention, Breast Cancer, Genetics, Human Genome, Genetic Testing, 2.1 Biological and endogenous factors, Aetiology, familial breast cancer, linkage analysis, risk haplotype, sequencing, NBCS Collaborators, kConFab/AOCS Investigators, Oncology and Carcinogenesis
Abstract

Most non-BRCA1/2 breast cancer families have no identified genetic cause. We used linkage and haplotype analyses in familial and sporadic breast cancer cases to identify a susceptibility locus on chromosome 6q. Two independent genome-wide linkage analysis studies suggested a 3 Mb locus on chromosome 6q and two unrelated Swedish families with a LOD >2 together seemed to share a haplotype in 6q14.1. We hypothesized that this region harbored a rare high-risk founder allele contributing to breast cancer in these two families. Sequencing of DNA and RNA from the two families did not detect any pathogenic mutations. Finally, 29 SNPs in the region were analyzed in 44,214 cases and 43,532 controls from BCAC, and the original haplotypes in the two families were suggested as low-risk alleles for European and Swedish women specifically. There was also some support for one additional independent moderate-risk allele in Swedish familial samples. The results were consistent with our previous findings in familial breast cancer and supported a breast cancer susceptibility locus at 6q14.1 around the PHIP gene.

Published
2017

16. 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

17. Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry

Author

Pal Choudhury, Parichoy, Brook, Mark N., Hurson, Amber N., Lee, Andrew, Mulder, Charlotta V., Coulson, Penny, Schoemaker, Minouk J., Jones, Michael E., Swerdlow, Anthony J., Chatterjee, Nilanjan, Antoniou, Antonis C., and Garcia-Closas, Montserrat

Published
2021
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18. Genetic variation at CYP3A is associated with age at menarche and breast cancer risk: a case-control study.

Author

Johnson, Nichola, Dudbridge, Frank, Orr, Nick, Gibson, Lorna, Jones, Michael E, Schoemaker, Minouk J, Folkerd, Elizabeth J, Haynes, Ben P, Hopper, John L, Southey, Melissa C, Dite, Gillian S, Apicella, Carmel, Schmidt, Marjanka K, Broeks, Annegien, Van't Veer, Laura J, Atsma, Femke, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Renner, Stefan P, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Miller, Nicola, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Guénel, Pascal, Truong, Therese, Cordina, Emilie, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Milne, Roger, Zamora, M Pilar, Arias Perez, Jose Ignacio, Benitez, Javier, Bernstein, Leslie, Anton-Culver, Hoda, Ziogas, Argyrios, Clarke Dur, Christina, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Dieffenbach, Aida Karina, Meindl, Alfons, Heil, Joerg, Bartram, Claus R, Schmutzler, Rita K, Brauch, Hiltrud, Justenhoven, Christina, Ko, Yon-Dschun, GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Dörk, Thilo, Bogdanova, Natalia V, Antonenkova, Natalia N, Lindblom, Annika, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Chenevix-Trench, Georgia, Beesley, Jonathan, kConFab Investigators, Australian Ovarian Cancer Study Group, Wu, Anna H, Van den Berg, David, Tseng, Chiu-Chen, Lambrechts, Diether, Smeets, Dominiek, Neven, Patrick, Wildiers, Hans, Chang-Claude, Jenny, Rudolph, Anja, Nickels, Stefan, Flesch-Janys, Dieter, Radice, Paolo, Peterlongo, Paolo, Bonanni, Bernardo, Pensotti, Valeria, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Fredericksen, Zachary, Pankratz, Vernon S, Giles, Graham G, Severi, Gianluca, Baglietto, Laura, Haiman, Chris, Simard, Jacques, and Goldberg, Mark S

Subjects
GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, kConFab Investigators, Australian Ovarian Cancer Study Group, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Reproductive History, Risk Factors, Age Factors, Age of Onset, Premenopause, Menarche, Genotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, European Continental Ancestry Group, Female, Cytochrome P-450 CYP3A, Genetic Association Studies, Human Genome, Aging, Clinical Research, Cancer, Genetics, Breast Cancer, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

IntroductionWe have previously shown that a tag single nucleotide polymorphism (rs10235235), which maps to the CYP3A locus (7q22.1), was associated with a reduction in premenopausal urinary estrone glucuronide levels and a modest reduction in risk of breast cancer in women age ≤50 years.MethodsWe further investigated the association of rs10235235 with breast cancer risk in a large case control study of 47,346 cases and 47,570 controls from 52 studies participating in the Breast Cancer Association Consortium. Genotyping of rs10235235 was conducted using a custom Illumina Infinium array. Stratified analyses were conducted to determine whether this association was modified by age at diagnosis, ethnicity, age at menarche or tumor characteristics.ResultsWe confirmed the association of rs10235235 with breast cancer risk for women of European ancestry but found no evidence that this association differed with age at diagnosis. Heterozygote and homozygote odds ratios (ORs) were OR = 0.98 (95% CI 0.94, 1.01; P = 0.2) and OR = 0.80 (95% CI 0.69, 0.93; P = 0.004), respectively (P(trend) = 0.02). There was no evidence of effect modification by tumor characteristics. rs10235235 was, however, associated with age at menarche in controls (P(trend) = 0.005) but not cases (P(trend) = 0.97). Consequently the association between rs10235235 and breast cancer risk differed according to age at menarche (P(het) = 0.02); the rare allele of rs10235235 was associated with a reduction in breast cancer risk for women who had their menarche age ≥15 years (OR(het) = 0.84, 95% CI 0.75, 0.94; OR(hom) = 0.81, 95% CI 0.51, 1.30; P(trend) = 0.002) but not for those who had their menarche age ≤11 years (OR(het) = 1.06, 95% CI 0.95, 1.19, OR(hom) = 1.07, 95% CI 0.67, 1.72; P(trend) = 0.29).ConclusionsTo our knowledge rs10235235 is the first single nucleotide polymorphism to be associated with both breast cancer risk and age at menarche consistent with the well-documented association between later age at menarche and a reduction in breast cancer risk. These associations are likely mediated via an effect on circulating hormone levels.

Published
2014

19. Epigenome-wide association study for lifetime estrogen exposure identifies an epigenetic signature associated with breast cancer risk

Author

Johansson, Annelie, Palli, Domenico, Masala, Giovanna, Grioni, Sara, Agnoli, Claudia, Tumino, Rosario, Giurdanella, Maria Concetta, Fasanelli, Francesca, Sacerdote, Carlotta, Panico, Salvatore, Mattiello, Amalia, Polidoro, Silvia, Jones, Michael E., Schoemaker, Minouk J., Orr, Nick, Tomczyk, Katarzyna, Johnson, Nichola, Fletcher, Olivia, Perduca, Vittorio, Baglietto, Laura, Dugué, Pierre-Antoine, Southey, Melissa C., Giles, Graham G., English, Dallas R., Milne, Roger L., Severi, Gianluca, Ambatipudi, Srikant, Cuenin, Cyrille, Chajès, Veronique, Romieu, Isabelle, Herceg, Zdenko, Swerdlow, Anthony J., Vineis, Paolo, and Flanagan, James M.

Published
2019
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21. Rare germline copy number variants (CNVs) and breast cancer risk

Author

Dennis, Joe, Tyrer, Jonathan, Walker, Logan C, Michailidou, Kyriaki, Dorling, Leila, Bolla, Manjeet K, Wang, Jean, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Freeman, Laura E Beane, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Brenner, Hermann, Castelao, Jose E, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Clarke, Christine L, Kristensen, Vessela N, Sahlberg, Kristine K, Børresen-Dale, Anne-Lise, Gram, Inger Torhild, Engebråten, Olav, Naume, Bjørn, Geisler, Jürgen, Alnæs, Grethe I Grenaker, Collée, J Margriet, Lacey, James, Martinez, Elena, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Hall, Per, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John L, Howell, Anthony, Clarke, Christine, Carpenter, Jane, Marsh, Deborah, Scott, Rodney, Baxter, Robert, Yip, Desmond, Davis, Alison, Pathmanathan, Nirmala, Simpson, Peter, Graham, Dinny, Sachchithananthan, Mythily, Campbell, Ian, De Fazio, Anna, Fox, Stephen, Kirk, Judy, Lindeman, Geoff, Milne, Roger, Southey, Melissa, Spurdle, Amanda, Thorne, Heather, Jager, Agnes, Jakubowska, Anna, John, Esther M, Johnson, Nichola, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Ko, Yon-Dschun, Kosma, Veli-Matti, Koutros, Stella, Kraft, Peter, Kubelka-Sabit, Katerina, Kurian, Allison W, Lacey, James V, Lambrechts, Diether, Larson, Nicole L, Linet, Martha, Ogrodniczak, Alicja, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Mavroudis, Dimitrios, Milne, Roger L, Muranen, Taru A, Murphy, Rachel A, Nevanlinna, Heli, Olson, Janet E, Olsson, Håkan, Park-Simon, Tjoung-Won, Perou, Charles M, Peterlongo, Paolo, Plaseska-Karanfilska, Dijana, Pylkäs, Katri, Rennert, Gad, Saloustros, Emmanouil, Sandler, Dale P, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Shibli, Rana, Smeets, Ann, Soucy, Penny, Southey, Melissa C, Swerdlow, Anthony J, Tamimi, Rulla M, Taylor, Jack A, Teras, Lauren R, Terry, Mary Beth, Tomlinson, Ian, Troester, Melissa A, Truong, Thérèse, Vachon, Celine M, Wendt, Camilla, Winqvist, Robert, Wolk, Alicja, Yang, Xiaohong R, Zheng, Wei, Ziogas, Argyrios, Simard, Jacques, Dunning, Alison, Pharoah, Paul, Easton, Douglas, Dennis, Joe [0000-0003-4591-1214], Tyrer, Jonathan [0000-0003-3724-4757], Walker, Logan C [0000-0003-0018-3719], Michailidou, Kyriaki [0000-0001-7065-1237], Wang, Jean [0000-0002-9139-0627], Andrulis, Irene L [0000-0002-4226-6435], Arndt, Volker [0000-0001-9320-8684], Aronson, Kristan J [0000-0002-7865-7243], Behrens, Sabine [0000-0002-9714-104X], Kristensen, Vessela N [0000-0001-5012-7438], Dörk, Thilo [0000-0002-9458-0282], Dossus, Laure [0000-0003-2716-5748], Figueroa, Jonine [0000-0002-5100-623X], Fritschi, Lin [0000-0002-7692-3560], Giles, Graham G [0000-0003-4946-9099], Hollestelle, Antoinette [0000-0003-1166-1966], Jakubowska, Anna [0000-0002-5650-0501], Johnson, Nichola [0000-0002-8230-5662], Jones, Michael E [0000-0001-7479-3451], Keeman, Renske [0000-0002-5452-9933], Larson, Nicole L [0000-0002-2129-6934], Milne, Roger L [0000-0001-5764-7268], Nevanlinna, Heli [0000-0002-0916-2976], Olson, Janet E [0000-0003-4944-7789], Peterlongo, Paolo [0000-0001-6951-6855], Plaseska-Karanfilska, Dijana [0000-0001-8877-2416], Pylkäs, Katri [0000-0002-2449-0521], Rennert, Gad [0000-0002-8512-068X], Tomlinson, Ian [0000-0003-3037-1470], Truong, Thérèse [0000-0002-2943-6786], Vachon, Celine M [0000-0002-1962-9322], Wolk, Alicja [0000-0001-7387-6845], Ziogas, Argyrios [0000-0003-4529-3727], Simard, Jacques [0000-0001-6906-3390], Dunning, Alison [0000-0001-6651-7166], Pharoah, Paul [0000-0001-8494-732X], Easton, Douglas [0000-0003-2444-3247], Apollo - University of Cambridge Repository, Wilson, Leila [0000-0003-1214-8080], Clinical Genetics, Medical Oncology, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, and Clinicum

Subjects
endocrine system diseases, 45/43, Medicine (miscellaneous), Genome-wide association studies, Basic medicine, Breast cancer, Other medical sciences, Runx2, Risk Factors, Biology (General), skin and connective tissue diseases, 0303 health sciences, 030305 genetics & heredity, article, 3. Good health, Female, General Agricultural and Biological Sciences, Medical Genetics, Mutations, DNA Copy Number Variations, Locus, QH301-705.5, kConFab/AOCS Investigators, ABCTB Investigators, 631/208/205/2138, Breast Neoplasms, Breast Neoplasms/genetics, General Biochemistry, Genetics and Molecular Biology, NBCS Collaborators, Association, Deletion, 03 medical and health sciences, SDG 3 - Good Health and Well-being, mental disorders, Humans, 030304 developmental biology, Medicinsk genetik, Cancer och onkologi, Genome, Human, Health sciences, 631/67/1347, CTS Consortium, Germ Cells, Genes, Clinical medicine, Cancer and Oncology, Case-Control Studies, 3111 Biomedicine, Structural variation, Brca1, Genome-Wide Association Study
Abstract

Germline copy number variants (CNVs) are pervasive in the human genome but potential disease associations with rare CNVs have not been comprehensively assessed in large datasets. We analysed rare CNVs in genes and non-coding regions for 86,788 breast cancer cases and 76,122 controls of European ancestry with genome-wide array data. Gene burden tests detected the strongest association for deletions in BRCA1 (P = 3.7E−18). Nine other genes were associated with a p-value, Dennis et al. investigate potential breast cancer associations with rare germline copy number variants (CNVs) by conducting a genome-wide analysis in a large breast cancer case-control dataset. The authors detected associations with exonic deletions in established breast cancer susceptibility genes and suggestive associations for a number of non-coding CNVs.

Published
2021

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

Author

Coignard, Juliette, Lush, Michael, Beesley, Jonathan, O’Mara, Tracy A., Dennis, Joe, Tyrer, Jonathan P., Barnes, Daniel R., McGuffog, Lesley, Leslie, Goska, Bolla, Manjeet K., Adank, Muriel A., Agata, Simona, Ahearn, Thomas, Aittomäki, Kristiina, Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J., Arun, Banu K., Augustinsson, Annelie, Azzollini, Jacopo, Barrowdale, Daniel, Baynes, Caroline, Becher, Heko, Bermisheva, Marina, Bernstein, Leslie, Białkowska, Katarzyna, Blomqvist, Carl, Bojesen, Stig E., Bonanni, Bernardo, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Buys, Saundra S., Caldés, Trinidad, Caligo, Maria A., Campa, Daniele, Carter, Brian D., Castelao, Jose E., Chang-Claude, Jenny, Chanock, Stephen J., Chung, Wendy K., Claes, Kathleen B. M., Clarke, Christine L., Bertrand, Ophélie, Caputo, Sandrine, Dupré, Anaïs, le Mentec, Marine, Belotti, Muriel, Birot, Anne-Marie, Buecher, Bruno, Fourme, Emmanuelle, Gauthier-Villars, Marion, Golmard, Lisa, Houdayer, Claude, Moncoutier, Virginie, de Pauw, Antoine, Saule, Claire, Sinilnikova, Olga, Mazoyer, Sylvie, Damiola, Francesca, Barjhoux, Laure, Verny-Pierre, Carole, Léone, M. lanie, Boutry-Kryza, Nadia, Calender, Alain, Giraud, Sophie, Caron, Olivier, Guillaud-Bataille, Marine, Bressac-de-Paillerets, Brigitte, Bignon, Yves- Jean, Uhrhammer, Nancy, Lasset, Christine, Bonadona, Valérie, Berthet, Pascaline, Vaur, Dominique, Castera, Laurent, Noguchi, Tetsuro, Popovici, Cornel, Sobol, Hagay, Bourdon, Violaine, Remenieras, Audrey, Noguès, Catherine, Coupier, Isabelle, Pujol, Pascal, Dumont, Aurélie, Révillion, Françoise, Adenis, Claude, Muller, Danièle, Barouk-Simonet, Emmanuelle, Bonnet, Françoise, Bubien, Virginie, Sevenet, Nicolas, Longy, Michel, Toulas, Christine, Guimbaud, Rosine, Gladieff, Laurence, Feillel, Viviane, Leroux, Dominique, Dreyfus, H. lène, Rebischung, Christine, Peysselon, Magalie, Coron, Fanny, Faivre, Laurence, Baurand, Amandine, Jacquot, Caroline, Bertolone, Geoffrey, Lizard, Sarab, Prieur, Fabienne, Lebrun, Marine, Kientz, Caroline, Ferrer, Sandra Fert, Mari, V. ronique, Vénat-Bouvet, Laurence, Delnatte, Capucine, Bézieau, Stéphane, Mortemousque, Isabelle, Coulet, Florence, Colas, Chrystelle, Soubrier, Florent, Warcoin, Mathilde, Sokolowska, Johanna, Bronner, Myriam, Collonge-Rame, Marie-Agnès, Damette, Alexandre, Gesta, Paul, Lallaoui, Hakima, Chiesa, Jean, Molina-Gomes, Denise, Ingster, Olivier, Gregory, Helen, Miedzybrodzka, Zosia, Morrison, Patrick J., Ong, Kai-ren, Donaldson, Alan, Rogers, Mark T., Kennedy, M. John, Porteous, Mary E., Brewer, Carole, Davidson, Rosemarie, Izatt, Louise, Brady, Angela, Barwell, Julian, Adlard, Julian, Foo, Claire, Lalloo, Fiona, Side, Lucy E., Eason, Jacqueline, Henderson, Alex, Walker, Lisa, Eeles, Rosalind A., Cook, Jackie, Snape, Katie, Eccles, Diana, Murray, Alex, McCann, Emma, Collée, J. Margriet, Conroy, Don M., Czene, Kamila, Daly, Mary B., Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Domchek, Susan M., Dörk, Thilo, dos-Santos-Silva, Isabel, Dunning, Alison M., Dwek, Miriam, Eccles, Diana M., Eliassen, A. Heather, Engel, Christoph, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Flyger, Henrik, Fostira, Florentia, Friedman, Eitan, Fritschi, Lin, Frost, Debra, Gago-Dominguez, Manuela, Gapstur, Susan M., Garber, Judy, Garcia-Barberan, Vanesa, García-Closas, Montserrat, García-Sáenz, José A., Gaudet, Mia M., Gayther, Simon A., Gehrig, Andrea, Georgoulias, Vassilios, Giles, Graham G., Godwin, Andrew K., Goldberg, Mark S., Goldgar, David E., González-Neira, Anna, Greene, Mark H., Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hall, Per, Hamann, Ute, Harrington, Patricia A., Hart, Steven N., He, Wei, Hogervorst, Frans B. L., Hollestelle, Antoinette, Hopper, John L., Horcasitas, Darling J., Hulick, Peter J., Hunter, David J., Imyanitov, Evgeny N., Fox, Stephen, Campbell, Ian, Spurdle, Amanda, Webb, Penny, de Fazio, Anna, Tassell, Margaret, Kirk, Judy, Lindeman, Geoff, Price, Melanie, Southey, Melissa, Milne, Roger, Deb, Sid, Bowtell, David, van der Hout, Annemieke H., van den Ouweland, Ans M. W., Mensenkamp, Arjen R., van Deurzen, Carolien H. M., Kets, Carolien M., Seynaeve, Caroline, van Asperen, Christi J., Aalfs, Cora M., Gómez Garcia, Encarna B., van Leeuwen, Flora E., de Bock, G. H., Meijers-Heijboer, Hanne E. J., Obdeijn, Inge M., Gille, J. J. P., Oosterwijk, Jan C., Wijnen, Juul T., van der Kolk, Lizet E., Hooning, Maartje J., Ausems, Margreet G. E. M., Mourits, Marian J. E., Blok, Marinus J., Rookus, Matti A., van der Luijt, Rob B., van Cronenburg, T. C. T. E. F., van der Pol, Carmen C., Russell, Nicola S., Siesling, Sabine, Overbeek, Lucy, Wijnands, R., de Lange, Judith L., Clarke, Christine, Graham, Dinny, Sachchithananthan, Mythily, Marsh, Deborah, Scott, Rodney, Baxter, Robert, Yip, Desmond, Carpenter, Jane, Davis, Alison, Pathmanathan, Nirmala, Simpson, Peter, Jager, Agnes, Jakubowska, Anna, James, Paul A., Jensen, Uffe Birk, John, Esther M., Jones, Michael E., Kaaks, Rudolf, Kapoor, Pooja Middha, Karlan, Beth Y., Keeman, Renske, Khusnutdinova, Elza, Kiiski, Johanna I., Ko, Yon-Dschun, Kosma, Veli-Matti, Kraft, Peter, Kurian, Allison W., Laitman, Yael, Lambrechts, Diether, le Marchand, Loic, Lester, Jenny, Lesueur, Fabienne, Lindstrom, Tricia, Lopez-Fernández, Adria, Loud, Jennifer T., Luccarini, Craig, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Martens, John W. M., Mebirouk, Noura, Meindl, Alfons, Miller, Austin, Milne, Roger L., Montagna, Marco, Nathanson, Katherine L., Neuhausen, Susan L., Nevanlinna, Heli, Nielsen, Finn C., O’Brien, Katie M., Olopade, Olufunmilayo I., Olson, Janet E., Olsson, H. kan, Osorio, Ana, Ottini, Laura, Park-Simon, Tjoung-Won, Parsons, Michael T., Pedersen, Inge Sokilde, Peshkin, Beth, Peterlongo, Paolo, Peto, Julian, Pharoah, Paul D. P., Phillips, Kelly-Anne, Polley, Eric C., Poppe, Bruce, Presneau, Nadege, Pujana, Miquel Angel, Punie, Kevin, Radice, Paolo, Rantala, Johanna, Rashid, Muhammad U., Rennert, Gad, Rennert, Hedy S., Robson, Mark, Romero, Atocha, Rossing, Maria, Saloustros, Emmanouil, Sandler, Dale P., Santella, Regina, Scheuner, Maren T., Schmidt, Marjanka K., Schmidt, Gunnar, Scott, Christopher, Sharma, Priyanka, Soucy, Penny, Southey, Melissa C., Spinelli, John J., Steinsnyder, Zoe, Stone, Jennifer, Stoppa-Lyonnet, Dominique, Swerdlow, Anthony, Tamimi, Rulla M., Tapper, William J., Taylor, Jack A., Terry, Mary Beth, Teulé, Alex, Thull, Darcy L., Tischkowitz, Marc, Toland, Amanda E., Torres, Diana, Trainer, Alison H., Truong, Thérèse, Tung, Nadine, Vachon, Celine M., Vega, Ana, Vijai, Joseph, Wang, Qin, Wappenschmidt, Barbara, Weinberg, Clarice R., Weitzel, Jeffrey N., Wendt, Camilla, Wolk, Alicja, Yadav, Siddhartha, Yang, Xiaohong R., Yannoukakos, Drakoulis, Zheng, Wei, Ziogas, Argyrios, Zorn, Kristin K., Park, Sue K., Thomassen, Mads, Offit, Kenneth, Schmutzler, Rita K., Couch, Fergus J., Simard, Jacques, Chenevix-Trench, Georgia, Easton, Douglas F., Andrieu, Nadine, Antoniou, Antonis C., German Cancer Research Center, National Health and Medical Research Council (Australia), United States of Department of Health & Human Services, National Institute for Health Research (Reino Unido), French National Cancer Institute, Ligue Nationale Contre le Cancer (Francia), Cancer Research UK (Reino Unido), Unión Europea. Comisión Europea, Canadian Institutes of Health Research, Cancer Council New South Wales (Australia), KWF Kankerbestrijding, Instituto de Salud Carlos III, Xunta de Galicia (España), Ministerio de Sanidad, Política Social e Igualdad (España), Helmholtz Association, California Breast Cancer Research Program, Federal Ministry of Education & Research (Alemania), Government of Netherlands, Russian Foundation for Basic Research, O’Mara, Tracy A. [0000-0002-5436-3232], Dennis, Joe [0000-0003-4591-1214], Tyrer, Jonathan P. [0000-0003-3724-4757], Barnes, Daniel R. [0000-0002-3781-7570], Leslie, Goska [0000-0001-5756-6222], Ahearn, Thomas [0000-0003-0771-7752], Andrulis, Irene L. [0000-0002-4226-6435], Arndt, Volker [0000-0001-9320-8684], Azzollini, Jacopo [0000-0002-9364-9778], Barrowdale, Daniel [0000-0003-1661-3939], Becher, Heko [0000-0002-8808-6667], Bernstein, Leslie [0000-0002-7692-6518], Bojesen, Stig E. [0000-0002-4061-4133], Bonanni, Bernardo [0000-0003-3589-2128], Brauch, Hiltrud [0000-0001-7531-2736], Caldés, Trinidad [0000-0002-1038-5392], Chanock, Stephen J. [0000-0002-2324-3393], Chung, Wendy K. [0000-0003-3438-5685], Claes, Kathleen B. M. [0000-0003-0841-7372], Collée, J. Margriet [0000-0002-9272-9346], Devilee, Peter [0000-0002-8023-2009], Dörk, Thilo [0000-0002-9458-0282], Dunning, Alison M. [0000-0001-6651-7166], Dwek, Miriam [0000-0001-7184-2932], Eliassen, A. Heather [0000-0002-3961-6609], Fritschi, Lin [0000-0002-7692-3560], García-Closas, Montserrat [0000-0003-1033-2650], García-Sáenz, José A. [0000-0001-6880-0301], Gayther, Simon A. [0000-0001-7937-5443], Giles, Graham G. [0000-0003-4946-9099], Greene, Mark H. [0000-0003-1852-9239], Guénel, Pascal [0000-0002-8359-518X], Håkansson, Niclas [0000-0001-7673-5554], Hart, Steven N. [0000-0001-7714-2734], He, Wei [0000-0003-0161-3274], Hollestelle, Antoinette [0000-0003-1166-1966], Hulick, Peter J. [0000-0001-8397-4078], Jakubowska, Anna [0000-0002-5650-0501], James, Paul A. [0000-0002-4361-4657], Jensen, Uffe Birk [0000-0002-6205-6355], Jones, Michael E. [0000-0001-7479-3451], Kapoor, Pooja Middha [0000-0001-5503-8215], Keeman, Renske [0000-0002-5452-9933], Kraft, Peter [0000-0002-4472-8103], Kurian, Allison W. [0000-0002-6175-9470], Lambrechts, Diether [0000-0002-3429-302X], Lesueur, Fabienne [0000-0001-7404-4549], Martens, John W. M. [0000-0002-3428-3366], Miller, Austin [0000-0001-9739-8462], Milne, Roger L. [0000-0001-5764-7268], Nathanson, Katherine L. [0000-0002-6740-0901], Nevanlinna, Heli [0000-0002-0916-2976], Olopade, Olufunmilayo I. [0000-0002-9936-1599], Olson, Janet E. [0000-0003-4944-7789], Ottini, Laura [0000-0001-8030-0449], Parsons, Michael T. [0000-0003-3242-8477], Pedersen, Inge Sokilde [0000-0002-9902-8040], Peshkin, Beth [0000-0002-2997-4701], Peterlongo, Paolo [0000-0001-6951-6855], Peto, Julian [0000-0002-1685-8912], Pharoah, Paul D. P. [0000-0001-8494-732X], Punie, Kevin [0000-0002-1162-7963], Radice, Paolo [0000-0001-6298-4111], Rennert, Gad [0000-0002-8512-068X], Robson, Mark [0000-0002-3109-1692], Romero, Atocha [0000-0002-1634-7397], Saloustros, Emmanouil [0000-0002-0485-0120], Sandler, Dale P. [0000-0002-6776-0018], Schmidt, Marjanka K. [0000-0002-2228-429X], Scott, Christopher [0000-0003-1340-0647], Stone, Jennifer [0000-0001-5077-0124], Toland, Amanda E. [0000-0002-0271-1792], Truong, Thérèse [0000-0002-2943-6786], Vachon, Celine M. [0000-0002-1962-9322], Vega, Ana [0000-0002-7416-5137], Vijai, Joseph [0000-0002-7933-151X], Weitzel, Jeffrey N. [0000-0001-6714-092X], Wolk, Alicja [0000-0001-7387-6845], Yadav, Siddhartha [0000-0003-4630-9903], Yannoukakos, Drakoulis [0000-0001-7509-3510], Ziogas, Argyrios [0000-0003-4529-3727], Zorn, Kristin K. [0000-0003-2143-8979], Park, Sue K. [0000-0001-5002-9707], Simard, Jacques [0000-0001-6906-3390], Easton, Douglas F. [0000-0003-2444-3247], Apollo - University of Cambridge Repository, Becher, Heiko [0000-0002-8808-6667], RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA KG Polikliniek (9), Klinische Genetica, German Cancer Research Center (DKFZ), National Health and Medical Research Council of Australia, United States Department of Health & Human Services National Institutes of Health (NIH) - USA, National Institute for Health Research (NIHR), Institut National du Cancer (INCA) France, Ligue nationale contre le cancer, Cancer Research UK, European Commision, Canadian Institutes of Health Research (CIHR), Cancer Council New South Wales, Accion Estrategica de Salud del Instituto de Salud Carlos III FIS Intrasalud, Xunta de Galicia, Fomento de la Investigacion Clinica Independiente, Ministerio de Sanidad, Servicios Sociales e Igualdad, Spain, Fondo de Investigacion Sanitario, California Breast Cancer Research Fund, Federal Ministry of Education & Research (BMBF), Netherlands Government, Russian Foundation for Basic Research (RFBR), O'Mara, Tracy A [0000-0002-5436-3232], Tyrer, Jonathan P [0000-0003-3724-4757], Barnes, Daniel R [0000-0002-3781-7570], Andrulis, Irene L [0000-0002-4226-6435], Bojesen, Stig E [0000-0002-4061-4133], Chanock, Stephen J [0000-0002-2324-3393], Chung, Wendy K [0000-0003-3438-5685], Claes, Kathleen BM [0000-0003-0841-7372], Collée, J Margriet [0000-0002-9272-9346], Dunning, Alison M [0000-0001-6651-7166], Eliassen, A Heather [0000-0002-3961-6609], García-Sáenz, José A [0000-0001-6880-0301], Gayther, Simon A [0000-0001-7937-5443], Giles, Graham G [0000-0003-4946-9099], Greene, Mark H [0000-0003-1852-9239], Hart, Steven N [0000-0001-7714-2734], Hulick, Peter J [0000-0001-8397-4078], James, Paul A [0000-0002-4361-4657], Jones, Michael E [0000-0001-7479-3451], Kurian, Allison W [0000-0002-6175-9470], Martens, John WM [0000-0002-3428-3366], Milne, Roger L [0000-0001-5764-7268], Nathanson, Katherine L [0000-0002-6740-0901], Olopade, Olufunmilayo I [0000-0002-9936-1599], Olson, Janet E [0000-0003-4944-7789], Parsons, Michael T [0000-0003-3242-8477], Pharoah, Paul DP [0000-0001-8494-732X], Sandler, Dale P [0000-0002-6776-0018], Schmidt, Marjanka K [0000-0002-2228-429X], Toland, Amanda E [0000-0002-0271-1792], Vachon, Celine M [0000-0002-1962-9322], Weitzel, Jeffrey N [0000-0001-6714-092X], Zorn, Kristin K [0000-0003-2143-8979], Park, Sue K [0000-0001-5002-9707], Easton, Douglas F [0000-0003-2444-3247], HUS Comprehensive Cancer Center, Department of Oncology, Clinicum, INDIVIDRUG - Individualized Drug Therapy, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, Institut Català de la Salut, [Coignard J] Genetic Epidemiology of Cancer team, Inserm, U900, Paris, France. Institut Curie Paris, Paris, France. Mines ParisTech Fontainebleau, Paris, France. Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. PSL University Paris, Paris, France. Paris Sud University, Orsay, France. [Lush M, Dennis J] Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. [Beesley J, O'Mara TA] Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. [Tyrer JP] Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK. [Diez O] Oncogenetics Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. Àrea de Genètica Clínica i Molecular, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Lopez-Fernández A] High Risk and Cancer Prevention Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain, Vall d'Hebron Barcelona Hospital Campus, ​Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Life Course Epidemiology (LCE), Damage and Repair in Cancer Development and Cancer Treatment (DARE), Targeted Gynaecologic Oncology (TARGON), Human Genetics, ARD - Amsterdam Reproduction and Development, Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, CCA - Cancer biology and immunology, Clinical Genetics, Medical Oncology, Pathology, and Radiology & Nuclear Medicine

Subjects
0301 basic medicine, Linkage disequilibrium, endocrine system diseases, Neoplasms::Neoplasms by Site::Breast Neoplasms [DISEASES], 45/43, General Physics and Astronomy, Genome-wide association study, Linkage Disequilibrium, Breast cancer, 0302 clinical medicine, 3123 Gynaecology and paediatrics, Risk Factors, Genotype, breast neoplasms, Medicine and Health Sciences, 631/208/68, skin and connective tissue diseases, Cancer genetics, adult, alleles, BRCA1 protein, BRCA2 protein, female, genetic predisposition to disease, genome-wide association study, genotype, humans, linkage disequilibrium, middle aged, mutation, quantitative trait loci, risk factors, polymorphism, single nucleotide, HEBON Investigators, Genetics, neoplasias::neoplasias por localización::neoplasias de la mama [ENFERMEDADES], education.field_of_study, Women's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17], Multidisciplinary, Otros calificadores::Otros calificadores::/genética [Otros calificadores], BRCA1 Protein, Genetic Predisposition to Disease/genetics, article, Single Nucleotide, Middle Aged, BRCA2 Protein/genetics, 3. Good health, Mama - Càncer - Factors de risc, 030220 oncology & carcinogenesis, Mutation (genetic algorithm), Genome-Wide Association Study/methods, Medical genetics, Female, Medical Genetics, 692/499, Adult, medicine.medical_specialty, 45/61, Science, 3122 Cancers, Population, Quantitative Trait Loci, Genetic Phenomena::Genetic Variation::Mutation [PHENOMENA AND PROCESSES], ABCTB Investigators, 631/67/2324, Breast Neoplasms, Biology, Breast Neoplasms/genetics, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Càncer de mama, GEMO Study Collaborators, 03 medical and health sciences, Cancer epidemiology, SDG 3 - Good Health and Well-being, Other subheadings::Other subheadings::/genetics [Other subheadings], medicine, Humans, Genetic Predisposition to Disease, Allele, Polymorphism, education, EMBRACE Collaborators, fenómenos genéticos::variación genética::mutación [FENÓMENOS Y PROCESOS], Alleles, Medicinsk genetik, BRCA2 Protein, Mutació (Biologia), General Chemistry, 631/67/1347, Genotype frequency, 030104 developmental biology, Mutation, Mama - Càncer - Aspectes genètics, BRCA1 Protein/genetics, 3111 Biomedicine, KConFab Investigators, Quantitative Trait Loci/genetics, Genètica, Genome-Wide Association Study
Abstract

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

Published
2021

24. Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries

Author

Hurson, Amber N, Pal Choudhury, Parichoy, Gao, Chi, Hüsing, Anika, Eriksson, Mikael, Shi, Min, Jones, Michael E, Evans, D Gareth R, Milne, Roger L, Gaudet, Mia M, Vachon, Celine M, Chasman, Daniel I, Easton, Douglas F, Schmidt, Marjanka K, Kraft, Peter, Garcia-Closas, Montserrat, Chatterjee, Nilanjan, B-CAST Risk Modelling Group, Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository

Subjects
model validation, risk prediction, Breast cancer, iCARE, polygenic risk score, risk stratification
Abstract

BACKGROUND: Rigorous evaluation of the calibration and discrimination of breast-cancer risk-prediction models in prospective cohorts is critical for applications under clinical guidelines. We comprehensively evaluated an integrated model incorporating classical risk factors and a 313-variant polygenic risk score (PRS) to predict breast-cancer risk. METHODS: Fifteen prospective cohorts from six countries with 239 340 women (7646 incident breast-cancer cases) of European ancestry aged 19-75 years were included. Calibration of 5-year risk was assessed by comparing expected and observed proportions of cases overall and within risk categories. Risk stratification for women of European ancestry aged 50-70 years in those countries was evaluated by the proportion of women and future cases crossing clinically relevant risk thresholds. RESULTS: Among women

Published
2021

25. Risk of breast cancer in men in relation to weight change: A national case‐control study in England and Wales.

Author

Swerdlow, Anthony J., Bruce, Cydney, Cooke, Rosie, Coulson, Penny, Schoemaker, Minouk J., and Jones, Michael E.

Subjects
MALE breast cancer, DISEASE risk factors, CASE-control method, BODY mass index, CANCER patients
Abstract

Breast cancer is uncommon in men and knowledge about its causation limited. Obesity is a risk factor but there has been no investigation of whether weight change is an independent risk factor, as it is in women. In a national case‐control study, 1998 men with breast cancer incident in England and Wales during 2005 to 2017 and 1597 male controls were interviewed about risk factors for breast cancer including anthropometric factors at several ages. Relative risks of breast cancer in relation to changes in body mass index (BMI) and waist/height ratios at these ages were obtained by logistic regression modelling. There were significant trends of increasing breast cancer risk with increase in BMI from age 20 to 40 (odds ratio [OR] 1.11 [95% confidence interval (CI) 1.05‐1.17] per 2 kg/m2 increase in BMI; P <.001), and from age 40 to 60 (OR 1.12 [1.04‐1.20]; P =.003), and with increase in self‐reported adiposity compared to peers at age 11 to BMI compared with peers at age 20 (OR 1.19 [1.09‐1.30]; P <.001). Increase in waist/height ratio from age 20 to 5 years before diagnosis was also highly significantly associated with risk (OR 1.13 [1.08‐1.19]; P <.001). The associations with increases in BMI and waist/height ratio were significant independently of each other and of BMI or waist/height ratio at the start of the period of change analysed, and effects were similar for invasive and in situ tumours separately. Increases in BMI and abdominal obesity are each risk factors for breast cancer in men, independently of obesity per se. These associations might relate to increasing oestrogen levels with weight gain, but this needs investigation. What's new? Although obesity is an established risk factor for breast cancer in men, there have been no investigations of whether weight change is an independent risk factor, as it is in women. In an interview case‐control study including 1998 cases and 1597 controls, authors found that increase in body mass index and in abdominal obesity are each significant risk factors for breast cancer in men, independent of obesity per se. [ABSTRACT FROM AUTHOR]

Published
2022
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26. Breast cancer risk in relation to history of preeclampsia and hyperemesis gravidarum: Prospective analysis in the Generations Study

Author

Wright, Lauren B., Schoemaker, Minouk J., Jones, Michael E., Ashworth, Alan, and Swerdlow, Anthony J.

Subjects
Adult, Receptor, ErbB-2, Breast Neoplasms, Middle Aged, United Kingdom, preeclampsia, Postmenopause, breast cancer, Pre-Eclampsia, Premenopause, Pregnancy, Risk Factors, Hyperemesis Gravidarum, cohort study, Humans, Female, Neoplasm Invasiveness, Prospective Studies, Breast Carcinoma In Situ, skin and connective tissue diseases, Cancer Epidemiology, Follow-Up Studies, Proportional Hazards Models
Abstract

Preeclampsia and hyperemesis gravidarum are pregnancy complications associated with altered sex hormone levels. Previous studies suggest preeclampsia may be associated with a decreased risk of subsequent breast cancer and hyperemesis with an increased risk, but the evidence remains unclear. We used data from the Generations Study, a large prospective study of women in the United Kingdom, to estimate relative risks of breast cancer in relation to a history of preeclampsia and hyperemesis using Cox regression adjusting for known breast cancer risk factors. During 7.5 years average follow‐up of 82,053 parous women, 1,969 were diagnosed with invasive or in situ breast cancer. Women who had experienced preeclampsia during pregnancy had a significantly decreased risk of premenopausal breast cancer (hazard ratio (HR) =0.67, 95% confidence interval (CI): 0.49–0.90) and of HER2‐enriched tumours (HR = 0.33, 95% CI: 0.12–0.91), but there was no association with overall (HR = 0.90, 95% CI: 0.80–1.02) or postmenopausal (HR = 0.97, 95% CI: 0.85–1.12) breast cancer risk. Risk reductions among premenopausal women were strongest within 20 years since the last pregnancy with preeclampsia. Hyperemesis was associated with a significantly increased risk of HER2‐enriched tumours (HR = 1.76, 95% CI: 1.07–2.87), but not with other intrinsic subtypes or breast cancer risk overall. These results provide evidence that preeclampsia is associated with a decreased risk of premenopausal and HER2‐enriched breast cancer and that hyperemesis, although not associated with breast cancer risk overall, may be associated with raised risk of HER2‐enriched tumours., What's new? Although the link of preeclampsia and hyperemesis gravidarum with altered sex hormone levels is well established, relatively little is known about the association of these pregnancy complications with breast cancer risk. Here, the authors found that a history of preeclampsia decreased the risk of premenopausal breast cancer and tumors enriched for the receptor tyrosine‐protein kinase HER2. In contrast, hyperemesis gravidarum increased the risk to develop HER2‐enriched tumors, pointing to nuanced differences of sex hormone alterations during pregnancy with respect to breast cancer subtypes and menopausal status.

Published
2018

28. Common Susceptibility Loci for Male Breast Cancer.

Author

Maguire, Sarah, Perraki, Eleni, Tomczyk, Katarzyna, Jones, Michael E, Fletcher, Olivia, Pugh, Matthew, Winter, Timothy, Thompson, Kyle, Cooke, Rosie, Consortium, kConFab, Trainer, Alison, James, Paul, Bojesen, Stig, Flyger, Henrik, Nevanlinna, Heli, Mattson, Johanna, Friedman, Eitan, Laitman, Yael, Palli, Domenico, and Masala, Giovanna

Subjects
BREAST cancer, SINGLE nucleotide polymorphisms, GENETIC correlations, DISEASE susceptibility, LINKAGE disequilibrium, PROTEINS, RESEARCH, SEQUENCE analysis, GENETICS, CONFIDENCE intervals, RESEARCH methodology, GENETIC polymorphisms, CASE-control method, REGRESSION analysis, MEDICAL cooperation, EVALUATION research, MALE breast cancer, COMPARATIVE studies, GENES, RESEARCH funding, ODDS ratio
Abstract

Background: The etiology of male breast cancer (MBC) is poorly understood. In particular, the extent to which the genetic basis of MBC differs from female breast cancer (FBC) is unknown. A previous genome-wide association study of MBC identified 2 predisposition loci for the disease, both of which were also associated with risk of FBC.Methods: We performed genome-wide single nucleotide polymorphism genotyping of European ancestry MBC case subjects and controls in 3 stages. Associations between directly genotyped and imputed single nucleotide polymorphisms with MBC were assessed using fixed-effects meta-analysis of 1380 cases and 3620 controls. Replication genotyping of 810 cases and 1026 controls was used to validate variants with P values less than 1 × 10-06. Genetic correlation with FBC was evaluated using linkage disequilibrium score regression, by comprehensively examining the associations of published FBC risk loci with risk of MBC and by assessing associations between a FBC polygenic risk score and MBC. All statistical tests were 2-sided.Results: The genome-wide association study identified 3 novel MBC susceptibility loci that attained genome-wide statistical significance (P < 5 × 10-08). Genetic correlation analysis revealed a strong shared genetic basis with estrogen receptor-positive FBC. Men in the top quintile of genetic risk had a fourfold increased risk of breast cancer relative to those in the bottom quintile (odds ratio = 3.86, 95% confidence interval = 3.07 to 4.87, P = 2.08 × 10-30).Conclusions: These findings advance our understanding of the genetic basis of MBC, providing support for an overlapping genetic etiology with FBC and identifying a fourfold high-risk group of susceptible men. [ABSTRACT FROM AUTHOR]

Published
2021
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29. Adult weight change and premenopausal breast cancer risk: A prospective pooled analysis of data from 628,463 women.

Author

Schoemaker, Minouk J., Nichols, Hazel B., Wright, Lauren B., Brook, Mark N., Jones, Michael E., O'Brien, Katie M., Adami, Hans‐Olov, Baglietto, Laura, Bernstein, Leslie, Bertrand, Kimberly A., Boutron‐Ruault, Marie‐Christine, Chen, Yu, Connor, Avonne E., Dossus, Laure, Eliassen, A. Heather, Giles, Graham G., Gram, Inger T., Hankinson, Susan E., Kaaks, Rudolf, and Key, Timothy J.

Subjects
BREAST cancer, DATA analysis, BODY size, WEIGHT gain, BODY weight
Abstract

Early‐adulthood body size is strongly inversely associated with risk of premenopausal breast cancer. It is unclear whether subsequent changes in weight affect risk. We pooled individual‐level data from 17 prospective studies to investigate the association of weight change with premenopausal breast cancer risk, considering strata of initial weight, timing of weight change, other breast cancer risk factors and breast cancer subtype. Hazard ratios (HR) and 95% confidence intervals (CI) were obtained using Cox regression. Among 628,463 women, 10,886 were diagnosed with breast cancer before menopause. Models adjusted for initial weight at ages 18–24 years and other breast cancer risk factors showed that weight gain from ages 18–24 to 35–44 or to 45–54 years was inversely associated with breast cancer overall (e.g., HR per 5 kg to ages 45–54: 0.96, 95% CI: 0.95–0.98) and with oestrogen‐receptor(ER)‐positive breast cancer (HR per 5 kg to ages 45–54: 0.96, 95% CI: 0.94–0.98). Weight gain from ages 25–34 was inversely associated with ER‐positive breast cancer only and weight gain from ages 35–44 was not associated with risk. None of these weight gains were associated with ER‐negative breast cancer. Weight loss was not consistently associated with overall or ER‐specific risk after adjusting for initial weight. Weight increase from early‐adulthood to ages 45–54 years is associated with a reduced premenopausal breast cancer risk independently of early‐adulthood weight. Biological explanations are needed to account for these two separate factors. What's new? Body weight in childhood and early adulthood plays a key role in determining premenopausal breast cancer risk but little is conclusively known about how subsequent weight changes affect this risk. Here the authors pooled results from existing studies on weight changes and breast cancer risk including more than 600,000 premenopausal women. The results show that weight gain >10–15 kg from early adulthood on lowers the risk of developing premenopausal breast cancer, providing further evidence of body weight as an important determinant of breast cancer risk. [ABSTRACT FROM AUTHOR]

Published
2020
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30. Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification.

Author

Choudhury, Parichoy Pal, Wilcox, Amber N, Brook, Mark N, Zhang, Yan, Ahearn, Thomas, Orr, Nick, Coulson, Penny, Schoemaker, Minouk J, Jones, Michael E, Gail, Mitchell H, Swerdlow, Anthony J, Chatterjee, Nilanjan, Garcia-Closas, Montserrat, and Pal Choudhury, Parichoy

Subjects
BREAST cancer, PREDICTION models, POPULATION forecasting, PROSTATE cancer, CANCER prevention, RELATIVE medical risk, RESEARCH, RESEARCH evaluation, RESEARCH methodology, EVALUATION research, MEDICAL cooperation, COMPARATIVE studies, RESEARCH funding, STATISTICAL models, BREAST tumors
Abstract

Background: External validation of risk models is critical for risk-stratified breast cancer prevention. We used the Individualized Coherent Absolute Risk Estimation (iCARE) as a flexible tool for risk model development and comparative model validation and to make projections for population risk stratification.Methods: Performance of two recently developed models, one based on the Breast and Prostate Cancer Cohort Consortium analysis (iCARE-BPC3) and another based on a literature review (iCARE-Lit), were compared with two established models (Breast Cancer Risk Assessment Tool and International Breast Cancer Intervention Study Model) based on classical risk factors in a UK-based cohort of 64 874 white non-Hispanic women (863 patients) age 35-74 years. Risk projections in a target population of US white non-Hispanic women age 50-70 years assessed potential improvements in risk stratification by adding mammographic breast density (MD) and polygenic risk score (PRS).Results: The best calibrated models were iCARE-Lit (expected to observed number of cases [E/O] = 0.98, 95% confidence interval [CI] = 0.87 to 1.11) for women younger than 50 years, and iCARE-BPC3 (E/O = 1.00, 95% CI = 0.93 to 1.09) for women 50 years or older. Risk projections using iCARE-BPC3 indicated classical risk factors can identify approximately 500 000 women at moderate to high risk (>3% 5-year risk) in the target population. Addition of MD and a 313-variant PRS is expected to increase this number to approximately 3.5 million women, and among them, approximately 153 000 are expected to develop invasive breast cancer within 5 years.Conclusions: iCARE models based on classical risk factors perform similarly to or better than BCRAT or IBIS in white non-Hispanic women. Addition of MD and PRS can lead to substantial improvements in risk stratification. However, these integrated models require independent prospective validation before broad clinical applications. [ABSTRACT FROM AUTHOR]

Published
2020
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31. Mortality and cancer incidence in carriers of constitutional t(11;22)(q23;q11) translocations: A prospective study.

Author

Schoemaker, Minouk J, Jones, Michael E, Higgins, Craig D, Wright, Alan F, and Swerdlow, Anthony J

Subjects
CANCER-related mortality, LONGITUDINAL method, POPULATION, BREAST cancer, CHROMOSOME banding
Abstract

The constitutional t(11;22)(q23;q11) translocation is the only recurrent non‐Robertsonian translocation known in humans. Carriers are phenotypically normal and are usually referred for cytogenetic testing because of multiple miscarriages, infertility, or having aneuploidy in offspring. A breast cancer predisposition has been suggested, but previous studies have been small and had methodological shortcomings. We therefore conducted a long‐term prospective study of cancer and mortality risk in carriers. We followed 65 male and 101 female carriers of t(11;22)(q23;q11) diagnosed in cytogenetic laboratories in Britain during 1976–2005 for cancer and deaths for an average of 21.4 years per subject. Standardised mortality (SMR) and incidence (SIR) ratios were calculated comparing the numbers of observed events with those expected from national age‐, sex‐, country‐ and calendar‐period‐specific population rates. Cancer incidence was borderline significantly raised for cancer overall (SIR = 1.56, 95% CI: 0.98–2.36, n = 22), and significantly raised for invasive breast cancer (SIR = 2.74, 95% CI: 1.18–5.40, n = 8) and in situ breast cancer (SIR = 13.0, 95% CI: 3.55–33.4, n = 4). Breast cancer risks were particularly increased at ages <50 (SIR = 4.37, 95% CI: 1.42–10.2 for invasive, SIR = 22.8, 95% CI: 2.76–82.5 for in situ). Mortality was borderline significantly raised for breast cancer (SMR = 4.82, 95% CI: 0.99–14.1) but not significantly raised for other cancers or causes. Individuals diagnosed with t(11;22)(q23;q11) appear to be at several‐fold increased breast cancer risk, with the greatest risks at premenopausal ages. Further research is required to understand the genetic mechanism involving 11q23 and 22q11 and there may be a need for enhanced breast cancer surveillance among female carriers. What's new? The constitutional translocation between chromosome bands 11q23 and 22q11 is recurrent in human populations, with highly consistent breakpoints. A breast cancer predisposition among carriers has been suggested, but previous studies have been small and had methodological shortcomings. In this first long‐term follow‐up study of site‐specific cancer and mortality risks among carriers, an increased risk of breast cancer was observed compared to the general population, with greatest risks in younger women. The results suggest that carriers of t(11;22)(q23;q11) may require enhanced surveillance for breast cancer and point to the importance of the chromosomal regions 11q23 and 22q11 in breast cancer development. [ABSTRACT FROM AUTHOR]

Published
2019
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32. Breast Cancer Risk After Recent Childbirth: A Pooled Analysis of 15 Prospective Studies.

Author

Nichols, Hazel B., Schoemaker, Minouk J., Cai, Jianwen, Xu, Jiawei, Wright, Lauren B., Brook, Mark N., Jones, Michael E., Adami, Hans-Olov, Baglietto, Laura, Bertrand, Kimberly A., Blot, William J., Boutron-Ruault, Marie-Christine, Dorronsoro, Miren, Dossus, Laure, Eliassen, A. Heather, Giles, Graham G., Gram, Inger T., Hankinson, Susan E., Hoffman-Bolton, Judy, and Kaaks, Rudolf

Subjects
CHILDBIRTH, BREAST cancer, BREASTFEEDING, PROPORTIONAL hazards models, EPIDERMAL growth factor receptors, BREAST tumor diagnosis, PROTEIN analysis, BREAST tumors, COMPARATIVE studies, DISEASE susceptibility, LABOR (Obstetrics), LONGITUDINAL method, MATERNAL age, RESEARCH methodology, MEDICAL cooperation, RESEARCH, RESEARCH funding, PERIMENOPAUSE, EVALUATION research, PARITY (Obstetrics)
Abstract

Background: Parity is widely recognized as protective for breast cancer, but breast cancer risk may be increased shortly after childbirth. Whether this risk varies with breastfeeding, family history of breast cancer, or specific tumor subtype has rarely been evaluated.Objective: To characterize breast cancer risk in relation to recent childbirth.Design: Pooled analysis of individual-level data from 15 prospective cohort studies.Setting: The international Premenopausal Breast Cancer Collaborative Group.Participants: Women younger than 55 years.Measurements: During 9.6 million person-years of follow-up, 18 826 incident cases of breast cancer were diagnosed. Hazard ratios (HRs) and 95% CIs for breast cancer were calculated using Cox proportional hazards regression.Results: Compared with nulliparous women, parous women had an HR for breast cancer that peaked about 5 years after birth (HR, 1.80 [95% CI, 1.63 to 1.99]) before decreasing to 0.77 (CI, 0.67 to 0.88) after 34 years. The association crossed over from positive to negative about 24 years after birth. The overall pattern was driven by estrogen receptor (ER)-positive breast cancer; no crossover was seen for ER-negative cancer. Increases in breast cancer risk after childbirth were pronounced when combined with a family history of breast cancer and were greater for women who were older at first birth or who had more births. Breastfeeding did not modify overall risk patterns.Limitations: Breast cancer diagnoses during pregnancy were not uniformly distinguishable from early postpartum diagnoses. Data on human epidermal growth factor receptor 2 (HER2) oncogene overexpression were limited.Conclusion: Compared with nulliparous women, parous women have an increased risk for breast cancer for more than 20 years after childbirth. Health care providers should consider recent childbirth a risk factor for breast cancer in young women.Primary Funding Source: The Avon Foundation, the National Institute of Environmental Health Sciences, Breast Cancer Now and the UK National Health Service, and the Institute of Cancer Research. [ABSTRACT FROM AUTHOR]

Published
2019
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33. Psychological stress, adverse life events and breast cancer incidence: a cohort investigation in 106,000 women in the United Kingdom.

Author

Schoemaker, Minouk J., Jones, Michael E., Wright, Lauren B., Griffin, James, McFadden, Emily, Ashworth, Alan, and Swerdlow, Anthony J.

Subjects
PSYCHOLOGICAL stress, BREAST cancer, LIFE change events, BEREAVEMENT, RELATIVE medical risk, BREAST tumors, PUBLIC health surveillance, RISK assessment, DISEASE incidence, PROPORTIONAL hazards models, ODDS ratio
Abstract

Background: Women diagnosed with breast cancer frequently attribute their cancer to psychological stress, but scientific evidence is inconclusive. We investigated whether experienced frequency of stress and adverse life events affect subsequent breast cancer risk.Methods: Breast cancer incidence was analysed with respect to stress variables collected at enrolment in a prospective cohort study of 106,000 women in the United Kingdom, with 1783 incident breast cancer cases. Relative risks (RR) were obtained as hazard ratios using Cox proportional hazards models.Results: There was no association of breast cancer risk overall with experienced frequency of stress. Risk was reduced for death of a close relative during the 5 years preceding study entry (RR = 0.87, 95 % confidence interval (CI): 0.78-0.97), but not for death of a spouse/partner or close friend, personal illness/injury, or divorce/separation. There was a positive association of divorce with oestrogen-receptor-negative (RR = 1.54, 95 % CI: 1.01-2.34), but not with oestrogen-receptor-positive breast cancer. Risk was raised in women who were under age 20 at the death of their mother (RR = 1.31, 95 % CI: 1.02-1.67), but not of their father, and the effect was attenuated after excluding mothers with breast or ovarian cancer (RR = 1.17, 95 % CI: 0.85-1.61).Conclusions: This large prospective study did not show consistent evidence for an association of breast cancer risk with perceived stress levels or adverse life events in the preceding 5 years, or loss of parents during childhood and adolescence. [ABSTRACT FROM AUTHOR]

Published
2016
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34. Epigenome-wide association study reveals decreased average methylation levels years before breast cancer diagnosis.

Author

van Veldhoven, Karin, Polidoro, Silvia, Baglietto, Laura, Severi, Gianluca, Sacerdote, Carlotta, Panico, Salvatore, Mattiello, Amalia, Palli, Domenico, Masala, Giovanna, Krogh, Vittorio, Agnoli, Claudia, Tumino, Rosario, Frasca, Graziella, Flower, Kirsty, Curry, Ed, Orr, Nicholas, Tomczyk, Katarzyna, Jones, Michael E., Ashworth, Alan, and Swerdlow, Anthony

Subjects
EPIGENOMICS, METHYLATION, BIOMARKERS, BREAST cancer, CANCER diagnosis
Abstract

Background: Interest in the potential of DNA methylation in peripheral blood as a biomarker of cancer risk is increasing. We aimed to assess whether epigenome-wide DNA methylation measured in peripheral blood samples obtained before onset of the disease is associated with increased risk of breast cancer. We report on three independent prospective nested case-control studies from the European Prospective Investigation into Cancer and Nutrition (EPIC-Italy; n = 162 matched case-control pairs), the Norwegian Women and Cancer study (NOWAC; n = 168 matched pairs), and the Breakthrough Generations Study (BGS; n = 548 matched pairs). We used the Illumina 450k array to measure methylation in the EPIC and NOWAC cohorts. Whole-genome bisulphite sequencing (WGBS) was performed on the BGS cohort using pooled DNA samples, combined to reach 50x coverage across ~16 million CpG sites in the genome including 450k array CpG sites. Mean β values over all probes were calculated as a measurement for epigenome-wide methylation. Results: In EPIC, we found that high epigenome-wide methylation was associated with lower risk of breast cancer (odds ratio (OR) per 1 SD = 0.61, 95 % confidence interval (CI) 0.47-0.80; -0.2 % average difference in epigenome-wide methylation for cases and controls). Specifically, this was observed in gene bodies (OR = 0.51, 95 % CI 0.38-0.69) but not in gene promoters (OR = 0.92, 95 % CI 0.64-1.32). The association was not replicated in NOWAC (OR = 1.03 95 % CI 0.81-1.30). The reasons for heterogeneity across studies are unclear. However, data from the BGS cohort was consistent with epigenome-wide hypomethylation in breast cancer cases across the overlapping 450k probe sites (difference in average epigenome-wide methylation in case and control DNA pools = -0.2 %). Conclusions: We conclude that epigenome-wide hypomethylation of DNA from pre-diagnostic blood samples may be predictive of breast cancer risk and may thus be useful as a clinical biomarker. [ABSTRACT FROM AUTHOR]

Published
2015
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35. Correction to: Timing of pubertal stages and breast cancer risk: the Breakthrough Generations Study.

Author

Bodicoat, Danielle H., Schoemaker, Minouk J., Jones, Michael E., McFadden, Emily, Griffin, James, Ashworth, Alan, and Swerdlow, Anthony J.

Subjects
TUMOR classification, BREAST cancer, GENERATIONS
Abstract

As a consequence of responding to colleagues who asked about the publication of the original article [1], the authors have determined that the data published in Table 4 of the paper are incorrect. [ABSTRACT FROM AUTHOR]

Published
2020
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36. Tamoxifen Treatment for Breast Cancer and Risk of Endometrial Cancer: A Case-Control Study.

Author

Swerdlow, Anthony J. and Jones, Michael E.

Subjects
*BREAST cancer, *THERAPEUTICS, *TAMOXIFEN, *MENOPAUSE, *CANCER risk factors, *CANCER diagnosis
Abstract

Background: Tamoxifen treatment of breast cancer is associated with an increased risk of endometrial cancer, but tamoxifen-related risks of endometrial cancer are unclear in premenopausal women, in long-term users of tamoxifen, and in women for whom several years have passed since ending treatment. We conducted a case-control study in Britain to investigate these risks. Methods: We compared treatment information on 813 case patients who had endometrial cancer after their diagnosis for breast cancer and 1067 control patients who had breast cancer but not subsequent endometrial cancer. We assessed risk by conditional logistic regression analysis. All statistical tests were two-sided. Results: Overall, tamoxifen treatment, compared with no treatment, was associated with an increased risk of endometrial cancer (odds ratio IORI = 2.4; 95% confidence interval [CI] = 1.8 to 3.0). Risk increased statistically significantly (Ptrend<.001) with duration of treatment (for ≥5 years of treatment compared with no treatment, OR = 3.6, 95% CI = 2.6 to 4.8). As an indication of background levels of treatment, 16% of control patients received 5 years or more of treatment. Risk of endometrial cancer adjusted for treatment duration did not diminish in follow-up to at least 5 years after the last treatment ended. Risk of endometrial cancer was not associated with the daily dose of tamoxifen and was comparable in pre- and postmenopausal women. Ever treatment with tamoxifen was associated with a much greater risk of Mullerian and mesodermal mixed endometrial tumors (OR = 13.5, 95% CI = 4.1 to 44.5) than of adenocarcinoma (OR = 2.1, 95% CI = 1.6 to 2.7) or clear cell and papillary serous tumors (OR = 3.1, 95% CI = 0.8 to 17.9). Conclusions: There is an increasing risk of endometrial cancer associated with longer tamoxifen treatment, extending well beyond 5 years. The increased risk of endometrial cancer associated with tamoxifen treatment should be considered clinically for both premenopausal and postmenopausal women during treatment and for at least 5 years after the last treatment. [ABSTRACT FROM AUTHOR]

Published
2005
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37. Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry

Author

Pal Choudhury, Parichoy, Brook, Mark N., Hurson, Amber N., Lee, Andrew, Mulder, Charlotta V., Coulson, Penny, Schoemaker, Minouk J., Jones, Michael E., Swerdlow, Anthony J., Chatterjee, Nilanjan, Antoniou, Antonis C., and Garcia-Closas, Montserrat

Subjects
Breast cancer, Tyrer-Cuzick, Model validation, Short Report, IBIS, BOADICEA, Absolute risk, Prospective cohort, Risk prediction, 3. Good health
Abstract

Background: The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) and the Tyrer-Cuzick breast cancer risk prediction models are commonly used in clinical practice and have recently been extended to include polygenic risk scores (PRS). In addition, BOADICEA has also been extended to include reproductive and lifestyle factors, which were already part of Tyrer-Cuzick model. We conducted a comparative prospective validation of these models after incorporating the recently developed 313-variant PRS. Methods: Calibration and discrimination of 5-year absolute risk was assessed in a nested case-control sample of 1337 women of European ancestry (619 incident breast cancer cases) aged 23–75 years from the Generations Study. Results: The extended BOADICEA model with reproductive/lifestyle factors and PRS was well calibrated across risk deciles; expected-to-observed ratio (E/O) at the highest risk decile :0.97 (95 % CI 0.51 − 1.86) for women younger than 50 years and 1.09 (0.66 − 1.80) for women 50 years or older. Adding reproductive/lifestyle factors and PRS to the BOADICEA model improved discrimination modestly in younger women (area under the curve (AUC) 69.7 % vs. 69.1%) and substantially in older women (AUC 64.6 % vs. 56.8%). The Tyrer-Cuzick model with PRS showed evidence of overestimation at the highest risk decile: E/O = 1.54(0.81 − 2.92) for younger and 1.73 (1.03 − 2.90) for older women. Conclusion: The extended BOADICEA model identified women in a European-ancestry population at elevated breast cancer risk more accurately than the Tyrer-Cuzick model with PRS. With the increasing availability of PRS, these analyses can inform choice of risk models incorporating PRS for risk stratified breast cancer prevention among women of European ancestry.

38. Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies?

Author

Park, JooYong, Choi, Ji-Yeob, Choi, Jaesung, Chung, Seokang, Song, Nan, Park, Sue K, Han, Wonshik, Noh, Dong-Young, Ahn, Sei-Hyun, Lee, Jong Won, Kim, Mi Kyung, Jee, Sun Ha, Wen, Wanqing, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Shah, Mitul, Conroy, Don M, Harrington, Patricia A, Mayes, Rebecca, Czene, Kamila, Hall, Per, Teras, Lauren R, Patel, Alpa V, Couch, Fergus J, Olson, Janet E, Sawyer, Elinor J, Roylance, Rebecca, Bojesen, Stig E, Flyger, Henrik, Lambrechts, Diether, Baten, Adinda, Matsuo, Keitaro, Ito, Hidemi, Guénel, Pascal, Truong, Thérèse, Keeman, Renske, Schmidt, Marjanka K, Wu, Anna H, Tseng, Chiu-Chen, Cox, Angela, Cross, Simon S, KConFab Investigators, Andrulis, Irene L, Hopper, John L, Southey, Melissa C, Wu, Pei-Ei, Shen, Chen-Yang, Fasching, Peter A, Ekici, Arif B, Muir, Kenneth, Lophatananon, Artitaya, Brenner, Hermann, Arndt, Volker, Jones, Michael E, Swerdlow, Anthony J, Hoppe, Reiner, Ko, Yon-Dschun, Hartman, Mikael, Li, Jingmei, Mannermaa, Arto, Hartikainen, Jaana M, Benitez, Javier, González-Neira, Anna, Haiman, Christopher A, Dörk, Thilo, Bogdanova, Natalia V, Teo, Soo Hwang, Mohd Taib, Nur Aishah, Fletcher, Olivia, Johnson, Nichola, Grip, Mervi, Winqvist, Robert, Blomqvist, Carl, Nevanlinna, Heli, Lindblom, Annika, Wendt, Camilla, Kristensen, Vessela N, Nbcs Collaborators, Tollenaar, Rob AEM, Heemskerk-Gerritsen, Bernadette AM, Radice, Paolo, Bonanni, Bernardo, Hamann, Ute, Manoochehri, Mehdi, Lacey, James V, Martinez, Maria Elena, Dunning, Alison M, Pharoah, Paul DP, Easton, Douglas F, Yoo, Keun-Young, and Kang, Daehee

Subjects
breast cancer, estrogen, 3. Good health, gene-environment interaction
Abstract

In this study we aim to examine gene-environment interactions (GxEs) between genes involved with estrogen metabolism and environmental factors related to estrogen exposure. GxE analyses were conducted with 1970 Korean breast cancer cases and 2052 controls in the case-control study, the Seoul Breast Cancer Study (SEBCS). A total of 11,555 SNPs from the 137 candidate genes were included in the GxE analyses with eight established environmental factors. A replication test was conducted by using an independent population from the Breast Cancer Association Consortium (BCAC), with 62,485 Europeans and 9047 Asians. The GxE tests were performed by using two-step methods in GxEScan software. Two interactions were found in the SEBCS. The first interaction was shown between rs13035764 of NCOA1 and age at menarche in the GE|2df model (p-2df = 1.2 × 10-3). The age at menarche before 14 years old was associated with the high risk of breast cancer, and the risk was higher when subjects had homozygous minor allele G. The second GxE was shown between rs851998 near ESR1 and height in the GE|2df model (p-2df = 1.1 × 10-4). Height taller than 160 cm was associated with a high risk of breast cancer, and the risk increased when the minor allele was added. The findings were not replicated in the BCAC. These results would suggest specificity in Koreans for breast cancer risk.

39. Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry

Author

Pal Choudhury, Parichoy, Brook, Mark N., Hurson, Amber N., Lee, Andrew, Mulder, Charlotta V., Coulson, Penny, Schoemaker, Minouk J., Jones, Michael E., Swerdlow, Anthony J., Chatterjee, Nilanjan, Antoniou, Antonis C., and Garcia-Closas, Montserrat

Subjects
Breast cancer, Tyrer-Cuzick, Model validation, Short Report, IBIS, BOADICEA, Absolute risk, Prospective cohort, Risk prediction, 3. Good health
Abstract

Background: The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) and the Tyrer-Cuzick breast cancer risk prediction models are commonly used in clinical practice and have recently been extended to include polygenic risk scores (PRS). In addition, BOADICEA has also been extended to include reproductive and lifestyle factors, which were already part of Tyrer-Cuzick model. We conducted a comparative prospective validation of these models after incorporating the recently developed 313-variant PRS. Methods: Calibration and discrimination of 5-year absolute risk was assessed in a nested case-control sample of 1337 women of European ancestry (619 incident breast cancer cases) aged 23–75 years from the Generations Study. Results: The extended BOADICEA model with reproductive/lifestyle factors and PRS was well calibrated across risk deciles; expected-to-observed ratio (E/O) at the highest risk decile :0.97 (95 % CI 0.51 − 1.86) for women younger than 50 years and 1.09 (0.66 − 1.80) for women 50 years or older. Adding reproductive/lifestyle factors and PRS to the BOADICEA model improved discrimination modestly in younger women (area under the curve (AUC) 69.7 % vs. 69.1%) and substantially in older women (AUC 64.6 % vs. 56.8%). The Tyrer-Cuzick model with PRS showed evidence of overestimation at the highest risk decile: E/O = 1.54(0.81 − 2.92) for younger and 1.73 (1.03 − 2.90) for older women. Conclusion: The extended BOADICEA model identified women in a European-ancestry population at elevated breast cancer risk more accurately than the Tyrer-Cuzick model with PRS. With the increasing availability of PRS, these analyses can inform choice of risk models incorporating PRS for risk stratified breast cancer prevention among women of European ancestry.

40. Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies?

Author

Park, JooYong, Choi, Ji-Yeob, Choi, Jaesung, Chung, Seokang, Song, Nan, Park, Sue K., Han, Wonshik, Noh, Dong-Young, Ahn, Sei-Hyun, Lee, Jong Won, Kim, Mi Kyung, Jee, Sun Ha, Wen, Wanqing, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Shah, Mitul, Conroy, Don M., Harrington, Patricia A., Mayes, Rebecca, Czene, Kamila, Hall, Per, Teras, Lauren R., Patel, Alpa V., Couch, Fergus J., Olson, Janet E., Sawyer, Elinor J., Roylance, Rebecca, Bojesen, Stig E., Flyger, Henrik, Lambrechts, Diether, Baten, Adinda, Matsuo, Keitaro, Ito, Hidemi, Guénel, Pascal, Truong, Thérèse, Keeman, Renske, Schmidt, Marjanka K., Wu, Anna H., Tseng, Chiu-Chen, Cox, Angela, Cross, Simon S., KConFab Investigators, KConFab Investigators, Andrulis, Irene L., Hopper, John L., Southey, Melissa C., Wu, Pei-Ei, Shen, Chen-Yang, Fasching, Peter A., Ekici, Arif B., Muir, Kenneth, Lophatananon, Artitaya, Brenner, Hermann, Arndt, Volker, Jones, Michael E., Swerdlow, Anthony J., Hoppe, Reiner, Ko, Yon-Dschun, Hartman, Mikael, Li, Jingmei, Mannermaa, Arto, Hartikainen, Jaana M., Benitez, Javier, González-Neira, Anna, Haiman, Christopher A., Dörk, Thilo, Bogdanova, Natalia V., Teo, Soo Hwang, Mohd Taib, Nur Aishah, Fletcher, Olivia, Johnson, Nichola, Grip, Mervi, Winqvist, Robert, Blomqvist, Carl, Nevanlinna, Heli, Lindblom, Annika, Wendt, Camilla, Kristensen, Vessela N., NBCS Collaborators, NBCS Collaborators, Tollenaar, Rob A. E. M., Heemskerk-Gerritsen, Bernadette A. M., Radice, Paolo, Bonanni, Bernardo, Hamann, Ute, Manoochehri, Mehdi, Lacey, James V., Martinez, Maria Elena, Dunning, Alison M., Pharoah, Paul D. P., Easton, Douglas F., Yoo, Keun-Young, and Kang, Daehee

Subjects
breast cancer, estrogen, 3. Good health, gene-environment interaction
Abstract

In this study we aim to examine gene–environment interactions (GxEs) between genes involved with estrogen metabolism and environmental factors related to estrogen exposure. GxE analyses were conducted with 1970 Korean breast cancer cases and 2052 controls in the case-control study, the Seoul Breast Cancer Study (SEBCS). A total of 11,555 SNPs from the 137 candidate genes were included in the GxE analyses with eight established environmental factors. A replication test was conducted by using an independent population from the Breast Cancer Association Consortium (BCAC), with 62,485 Europeans and 9047 Asians. The GxE tests were performed by using two-step methods in GxEScan software. Two interactions were found in the SEBCS. The first interaction was shown between rs13035764 of NCOA1 and age at menarche in the GE|2df model (p-2df = 1.2 × 10−3). The age at menarche before 14 years old was associated with the high risk of breast cancer, and the risk was higher when subjects had homozygous minor allele G. The second GxE was shown between rs851998 near ESR1 and height in the GE|2df model (p-2df = 1.1 × 10−4). Height taller than 160 cm was associated with a high risk of breast cancer, and the risk increased when the minor allele was added. The findings were not replicated in the BCAC. These results would suggest specificity in Koreans for breast cancer risk.

41. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author

Ahearn, Thomas U, Zhang, Haoyu, Michailidou, Kyriaki, Milne, Roger L, Bolla, Manjeet K, Dennis, Joe, Dunning, Alison M, Lush, Michael, Wang, Qin, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Augustinsson, Annelie, Baten, Adinda, Becher, Heiko, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, NBCS Collaborators, Collée, J Margriet, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dwek, Miriam, Eccles, Diana M, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Floris, Giuseppe, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Alnæs, Grethe I Grenaker, Grip, Mervi, Guénel, Pascal, Haiman, Christopher A, Hall, Per, Hamann, Ute, Harkness, Elaine F, Heemskerk-Gerritsen, Bernadette AM, Holleczek, Bernd, Hollestelle, Antoinette, Hooning, Maartje J, Hoover, Robert N, Hopper, John L, Howell, Anthony, ABCTB Investigators, KConFab/AOCS Investigators, Jakimovska, Milena, Jakubowska, Anna, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Kauppila, Saila, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kristensen, Vessela N, Krüger, Ute, Kubelka-Sabit, Katerina, Kurian, Allison W, Kyriacou, Kyriacos, Lambrechts, Diether, Lee, Derrick G, Lindblom, Annika, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, Lo, Wing-Yee, MacInnis, Robert J, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, McLean, Catriona, Meindl, Alfons, Menon, Usha, Nevanlinna, Heli, Newman, William G, Nodora, Jesse, Offit, Kenneth, Olsson, Håkan, Orr, Nick, Park-Simon, Tjoung-Won, Patel, Alpa V, Peto, Julian, Pita, Guillermo, Plaseska-Karanfilska, Dijana, Prentice, Ross, Punie, Kevin, Pylkäs, Katri, Radice, Paolo, Rennert, Gad, Romero, Atocha, Rüdiger, Thomas, Saloustros, Emmanouil, Sampson, Sarah, Sandler, Dale P, Sawyer, Elinor J, Schmutzler, Rita K, Schoemaker, Minouk J, Schöttker, Ben, Sherman, Mark E, Shu, Xiao-Ou, Smichkoska, Snezhana, Southey, Melissa C, Spinelli, John J, Swerdlow, Anthony J, Tamimi, Rulla M, Tapper, William J, Taylor, Jack A, Teras, Lauren R, Terry, Mary Beth, Torres, Diana, Troester, Melissa A, Vachon, Celine M, Van Deurzen, Carolien HM, Van Veen, Elke M, Wagner, Philippe, Weinberg, Clarice R, Wendt, Camilla, Wesseling, Jelle, Winqvist, Robert, Wolk, Alicja, Yang, Xiaohong R, Zheng, Wei, Couch, Fergus J, Simard, Jacques, Kraft, Peter, Easton, Douglas F, Pharoah, Paul DP, Schmidt, Marjanka K, García-Closas, Montserrat, and Chatterjee, Nilanjan

Subjects
Common breast cancer susceptibility variants, Risk, Receptor, ErbB-2, Genetic predisposition, Etiologic heterogeneity, Breast Neoplasms, 3. Good health, Breast cancer, Receptors, Estrogen, Biomarkers, Tumor, Humans, Female, Receptors, Progesterone, Genome-Wide Association Study
Abstract

BACKGROUND: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. METHODS: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. RESULTS: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. CONCLUSION: This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.

42. Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries

Author

Hurson, Amber N, Pal Choudhury, Parichoy, Gao, Chi, Hüsing, Anika, Eriksson, Mikael, Shi, Min, Jones, Michael E, Evans, D Gareth R, Milne, Roger L, Gaudet, Mia M, Vachon, Celine M, Chasman, Daniel I, Easton, Douglas F, Schmidt, Marjanka K, Kraft, Peter, Garcia-Closas, Montserrat, Chatterjee, Nilanjan, Scott, Christopher G, Carter, Brian D, Martin, Kara, Harkness, Elaine F, Brook, Mark N, Ahearn, Thomas U, Mavaddat, Nasim, Antoniou, Antonis C, Chang-Claude, Jenny, Simard, Jacques, Orr, Nick, Schoemaker, Minouk J, Swerdlow, Anthony J, Sampson, Sarah, Newman, William G, van Veen, Elke M, MacInnis, Robert J, Giles, Graham G, Southey, Melissa, Gapstur, Susan M, Winham, Stacey J, Brandt, Kathy, Norman, Aaron, Sandler, Dale P, Weinberg, Clarice R, Czene, Kamila, Gabrielson, Marike, Hall, Per, van Gils, Carla H, Khaw, Kay-Tee, Barrdahl, Myrto, Kaaks, Rudolf, Ridker, Paul M, and Buring, Julie E

Subjects
Adult, 0301 basic medicine, Multifactorial Inheritance, Epidemiology, Breast Neoplasms, Risk Assessment, Prospective evaluation, Risk category, Decile, Young Adult, 03 medical and health sciences, Risk model, 0302 clinical medicine, Breast cancer, Risk Factors, Germany, Breast Cancer, Humans, Medicine, Genetic Predisposition to Disease, Risk threshold, Aged, business.industry, General Medicine, Middle Aged, medicine.disease, 3. Good health, 030104 developmental biology, 030220 oncology & carcinogenesis, Risk stratification, Female, Polygenic risk score, business, Demography
Abstract

Background Rigorous evaluation of the calibration and discrimination of breast-cancer risk-prediction models in prospective cohorts is critical for applications under clinical guidelines. We comprehensively evaluated an integrated model incorporating classical risk factors and a 313-variant polygenic risk score (PRS) to predict breast-cancer risk. Methods Fifteen prospective cohorts from six countries with 239 340 women (7646 incident breast-cancer cases) of European ancestry aged 19–75 years were included. Calibration of 5-year risk was assessed by comparing expected and observed proportions of cases overall and within risk categories. Risk stratification for women of European ancestry aged 50–70 years in those countries was evaluated by the proportion of women and future cases crossing clinically relevant risk thresholds. Results Among women Conclusion Integrating a 313-variant PRS with classical risk factors can improve the identification of European-ancestry women at elevated risk who could benefit from targeted risk-reducing strategies under current clinical guidelines.

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43. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author

Ahearn, Thomas U, Zhang, Haoyu, Michailidou, Kyriaki, Milne, Roger L, Bolla, Manjeet K, Dennis, Joe, Dunning, Alison M, Lush, Michael, Wang, Qin, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Augustinsson, Annelie, Baten, Adinda, Becher, Heiko, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bojesen, Stig E, Bonanni, Bernardo, B��rresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Br��ning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, NBCS Collaborators, Coll��e, J Margriet, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, D��rk, Thilo, Dwek, Miriam, Eccles, Diana M, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Floris, Giuseppe, Gago-Dominguez, Manuela, Gapstur, Susan M, Garc��a-S��enz, Jos�� A, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, Gonz��lez-Neira, Anna, Aln��s, Grethe I Grenaker, Grip, Mervi, Gu��nel, Pascal, Haiman, Christopher A, Hall, Per, Hamann, Ute, Harkness, Elaine F, Heemskerk-Gerritsen, Bernadette AM, Holleczek, Bernd, Hollestelle, Antoinette, Hooning, Maartje J, Hoover, Robert N, Hopper, John L, Howell, Anthony, ABCTB Investigators, KConFab/AOCS Investigators, Jakimovska, Milena, Jakubowska, Anna, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Kauppila, Saila, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kristensen, Vessela N, Kr��ger, Ute, Kubelka-Sabit, Katerina, Kurian, Allison W, Kyriacou, Kyriacos, Lambrechts, Diether, Lee, Derrick G, Lindblom, Annika, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, Lo, Wing-Yee, MacInnis, Robert J, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, McLean, Catriona, Meindl, Alfons, Menon, Usha, Nevanlinna, Heli, Newman, William G, Nodora, Jesse, Offit, Kenneth, Olsson, H��kan, Orr, Nick, Park-Simon, Tjoung-Won, Patel, Alpa V, Peto, Julian, Pita, Guillermo, Plaseska-Karanfilska, Dijana, Prentice, Ross, Punie, Kevin, Pylk��s, Katri, Radice, Paolo, Rennert, Gad, Romero, Atocha, R��diger, Thomas, Saloustros, Emmanouil, Sampson, Sarah, Sandler, Dale P, Sawyer, Elinor J, Schmutzler, Rita K, Schoemaker, Minouk J, Sch��ttker, Ben, Sherman, Mark E, Shu, Xiao-Ou, Smichkoska, Snezhana, Southey, Melissa C, Spinelli, John J, Swerdlow, Anthony J, Tamimi, Rulla M, Tapper, William J, Taylor, Jack A, Teras, Lauren R, Terry, Mary Beth, Torres, Diana, Troester, Melissa A, Vachon, Celine M, Van Deurzen, Carolien HM, Van Veen, Elke M, Wagner, Philippe, Weinberg, Clarice R, Wendt, Camilla, Wesseling, Jelle, Winqvist, Robert, Wolk, Alicja, Yang, Xiaohong R, Zheng, Wei, Couch, Fergus J, Simard, Jacques, Kraft, Peter, Easton, Douglas, Pharoah, Paul, Schmidt, Marjanka K, Garc��a-Closas, Montserrat, and Chatterjee, Nilanjan

Subjects
Common breast cancer susceptibility variants, Breast cancer, Genetic predisposition, Etiologic heterogeneity, 3. Good health, Research Article
Abstract

Funder: Genome Canada and the Canadian Institutes of Health Research, Funder: G��nome Qu��bec; doi: http://dx.doi.org/10.13039/100013062, Funder: Foundation for the National Institutes of Health; doi: http://dx.doi.org/10.13039/100000009, Funder: Center for Inherited Disease Research, Funder: Cancer Research UK, Funder: Odense University Hospital Research Foundation, Funder: National R&D Program for Cancer Control���Ministry of Health and Welfare, Funder: Italian Association for Cancer Research, Funder: Carol M. Baldwin Breast Cancer Research Fund; doi: http://dx.doi.org/10.13039/100002645, Funder: National Health and Medical Research Council, Funder: Deutsche Kinderkrebsstiftung; doi: http://dx.doi.org/10.13039/501100007311, Funder: European Union, Funder: National Institutes of Health; doi: http://dx.doi.org/10.13039/100000002, Funder: National Cancer Institute, Funder: Canadian Institutes of Health Research; doi: http://dx.doi.org/10.13039/501100000024, Funder: Susan G. Komen for the Cure, Komen Wyoming Affiliate; doi: http://dx.doi.org/10.13039/100005987, Funder: Ovarian Cancer Research Fund; doi: http://dx.doi.org/10.13039/100001282, Funder: National Cancer Institute (NCI), BACKGROUND: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. METHODS: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. RESULTS: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate

44. Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry

Author

Pal Choudhury, Parichoy, Brook, Mark N., Hurson, Amber N., Lee, Andrew, Mulder, Charlotta V., Coulson, Penny, Schoemaker, Minouk J., Jones, Michael E., Swerdlow, Anthony J., Chatterjee, Nilanjan, Antoniou, Antonis C., and Garcia-Closas, Montserrat

Subjects
Breast cancer, Tyrer-Cuzick, Model validation, Short Report, IBIS, BOADICEA, Absolute risk, Prospective cohort, Risk prediction, 3. Good health
Abstract

Background: The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) and the Tyrer-Cuzick breast cancer risk prediction models are commonly used in clinical practice and have recently been extended to include polygenic risk scores (PRS). In addition, BOADICEA has also been extended to include reproductive and lifestyle factors, which were already part of Tyrer-Cuzick model. We conducted a comparative prospective validation of these models after incorporating the recently developed 313-variant PRS. Methods: Calibration and discrimination of 5-year absolute risk was assessed in a nested case-control sample of 1337 women of European ancestry (619 incident breast cancer cases) aged 23–75 years from the Generations Study. Results: The extended BOADICEA model with reproductive/lifestyle factors and PRS was well calibrated across risk deciles; expected-to-observed ratio (E/O) at the highest risk decile :0.97 (95 % CI 0.51 − 1.86) for women younger than 50 years and 1.09 (0.66 − 1.80) for women 50 years or older. Adding reproductive/lifestyle factors and PRS to the BOADICEA model improved discrimination modestly in younger women (area under the curve (AUC) 69.7 % vs. 69.1%) and substantially in older women (AUC 64.6 % vs. 56.8%). The Tyrer-Cuzick model with PRS showed evidence of overestimation at the highest risk decile: E/O = 1.54(0.81 − 2.92) for younger and 1.73 (1.03 − 2.90) for older women. Conclusion: The extended BOADICEA model identified women in a European-ancestry population at elevated breast cancer risk more accurately than the Tyrer-Cuzick model with PRS. With the increasing availability of PRS, these analyses can inform choice of risk models incorporating PRS for risk stratified breast cancer prevention among women of European ancestry.

45. Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry

Author

Pal Choudhury, Parichoy, Brook, Mark N, Hurson, Amber N, Lee, Andrew, Mulder, Charlotta V, Coulson, Penny, Schoemaker, Minouk J, Jones, Michael E, Swerdlow, Anthony J, Chatterjee, Nilanjan, Antoniou, Antonis C, and Garcia-Closas, Montserrat

Subjects
Adult, Multifactorial Inheritance, Tyrer-Cuzick, Model validation, Breast Neoplasms, Absolute risk, Prospective cohort, Middle Aged, Models, Theoretical, Risk Assessment, Risk prediction, White People, 3. Good health, Young Adult, Breast cancer, Risk Factors, Population Surveillance, IBIS, Humans, BOADICEA, Female, Genetic Predisposition to Disease, Algorithms, Aged
Abstract

BACKGROUND: The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) and the Tyrer-Cuzick breast cancer risk prediction models are commonly used in clinical practice and have recently been extended to include polygenic risk scores (PRS). In addition, BOADICEA has also been extended to include reproductive and lifestyle factors, which were already part of Tyrer-Cuzick model. We conducted a comparative prospective validation of these models after incorporating the recently developed 313-variant PRS. METHODS: Calibration and discrimination of 5-year absolute risk was assessed in a nested case-control sample of 1337 women of European ancestry (619 incident breast cancer cases) aged 23-75 years from the Generations Study. RESULTS: The extended BOADICEA model with reproductive/lifestyle factors and PRS was well calibrated across risk deciles; expected-to-observed ratio (E/O) at the highest risk decile :0.97 (95 % CI 0.51 - 1.86) for women younger than 50 years and 1.09 (0.66 - 1.80) for women 50 years or older. Adding reproductive/lifestyle factors and PRS to the BOADICEA model improved discrimination modestly in younger women (area under the curve (AUC) 69.7 % vs. 69.1%) and substantially in older women (AUC 64.6 % vs. 56.8%). The Tyrer-Cuzick model with PRS showed evidence of overestimation at the highest risk decile: E/O = 1.54(0.81 - 2.92) for younger and 1.73 (1.03 - 2.90) for older women. CONCLUSION: The extended BOADICEA model identified women in a European-ancestry population at elevated breast cancer risk more accurately than the Tyrer-Cuzick model with PRS. With the increasing availability of PRS, these analyses can inform choice of risk models incorporating PRS for risk stratified breast cancer prevention among women of European ancestry.

46. The impact of risk stratification by polygenic risk and age on breast cancer screening in women aged 40–49 years: a modelling study.

Author

Huntley, Catherine, Torr, Bethany, Sud, Amit, Houlston, Richard S, Hingorani, Aroon D, Jones, Michael E, and Turnbull, Clare

Subjects
*BREAST cancer, *MONOGENIC & polygenic inheritance (Genetics), *DIGITAL mammography, *DISEASE risk factors, *MEDICAL screening
Abstract

Polygenic Risk Scores (PRSs) have been proposed as a mechanism for risk-stratification of screening, increasing efficiency and enabling extension of existing programmes to improve survival in our aging population. We sought to model the impact of three hypothetical programmes of annual breast cancer screening in women aged 40–49 years: screening the PRS-defined high-risk quintile, screening the oldest quintile, and screening the full population. In this UK-based modelling study, we used the published estimate of the area under the curve (AUC) of a currently available breast cancer PRS (0·64) to calculate the proportion of cancers captured by the PRS-defined high-risk quintile. We used population size estimates from the Office for National Statistics alongside age-stratified incidence rates of breast cancer, and age or stage-specific survival data from the National Cancer Registry, to build our model. We used stage-specific route-to-diagnosis data to reassign stage-specific survival for screen-detected cancers. Ethics approval was not required. The PRS-defined high-risk quintile, oldest quintile, and full population capture 37% (n=2811), 29% (n=2198), and 100% (n=7533) of breast cancers occurring in women aged 40–49 each year. Annual screening of each group using digital mammography (sensitivity 70%, specificity 92%) would identify 1968, 1538, and 5273 breast cancers per year, respectively. This corresponds to an improvement in survival of 1·4% (102 deaths averted), 1·1% (80 deaths averted) and 3·6% (274 deaths averted) compared with baseline (no screening). Full population screening would require 4 369 703 mammograms and 354 246 confirmatory tests (breast biopsies) every year, while screening the oldest quintile would require 937 850 mammograms and 76 390 biopsies. Screening the PRS-defined high-risk quintile would require 873 941 mammograms and 71 658 biopsies, in addition to a PRS for all women in the age group (4 369 703). Under favourable assumptions, stratifying screening by PRS rather than age results in modest gains in survival but increases overdiagnoses, logistical complexity, and economic costs. Our study is limited by our modelling parameters (anticipated to maximise survival estimates), including complete uptake of PRS profiling and cancer screening, no interval cancers, and application of screening tools superior to those currently available in the UK. Only with randomised controlled trials, can the uptake, clinical impact, costs, and harms of PRS-stratified screening be definitively assessed. The Wellcome Trust. [ABSTRACT FROM AUTHOR]

Published
2023
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47. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes

Author

Fachal, L., Aschard, H., Beesley, J., Barnes, D.R., Allen, J., Kar, S., Pooley, K.A., Dennis, J., Michailidou, K., Turman, C., Soucy, P., Lemaçon, A., Lush, M., Tyrer, J.P., Ghoussaini, M., Marjaneh, M.M., Jiang, X., Agata, S., Aittomäki, K., Alonso, M.R., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Arason, A., Arndt, V., Aronson, K.J., Arun, B.K., Auber, B., Auer, P.L., Azzollini, J., Balmaña, J., Barkardottir, R.B., Barrowdale, D., Beeghly-Fadiel, A., Benitez, J., Bermisheva, M., Białkowska, K., Blanco, A.M., Blomqvist, C., Blot, W., Bogdanova, N.V., Bojesen, S.E., Bolla, M.K., Bonanni, B., Borg, A., Bosse, K., Brauch, H., Brenner, H., Briceno, I., Brock, I.W., Brooks-Wilson, A., Brüning, T., Burwinkel, B., Buys, S.S., Cai, Q., Caldés, T., Caligo, M.A., Camp, N.J., Campbell, I., Canzian, F., Carroll, J.S., Carter, B.D., Castelao, J.E., Chiquette, J., Christiansen, H., Chung, W.K., Claes, K.B.M., Clarke, C.L., Mari, V., Berthet, P., Castera, L., Vaur, D., Lallaoui, H., Bignon, Y.-J., Uhrhammer, N., Bonadona, V., Lasset, C., Révillion, F., Vennin, P., Muller, D., Gomes, D.M., Ingster, O., Coupier, I., Pujol, P., Collonge-Rame, M.-A., Mortemousque, I., Bera, O., Rose, M., Baurand, A., Bertolone, G., Faivre, L., Dreyfus, H., Leroux, D., Venat-Bouvet, L., Bézieau, S., Delnatte, C., Chiesa, J., Gilbert-Dussardier, B., Gesta, P., Prieur, F.P., Bronner, M., Sokolowska, J., Coulet, F., Boutry-Kryza, N., Calender, A., Giraud, S., Leone, M., Fert-Ferrer, S., Stoppa-Lyonnet, D., Jiao, Y., Lesueur, F.L., Mebirouk, N., Barouk-Simonet, E., Bubien, V., Longy, M., Sevenet, N., Gladieff, L., Toulas, C., Reimineras, A., Sobol, H., Paillerets, B.B.-D., Cabaret, O., Caron, O., Guillaud-Bataille, M., Rouleau, E., Belotti, M., Buecher, B., Caputo, S., Colas, C., Pauw, A.D., Fourme, E., Gauthier-Villars, M., Golmard, L., Moncoutier, V., Saule, C., Donaldson, A., Murray, A., Brady, A., Brewer, C., Pottinger, C., Miller, C., Gallagher, D., Gregory, H., Cook, J., Eason, J., Adlard, J., Barwell, J., Ong, K.-R., Snape, K., Walker, L., Izatt, L., Side, L., Tischkowitz, M., Rogers, M.T., Porteous, M.E., Ahmed, M., Morrison, P.J., Brennan, P., Eeles, R., Davidson, R., Collée, M., Cornelissen, S., Couch, F.J., Cox, A., Cross, S.S., Cybulski, C., Czene, K., Daly, M.B., de la Hoya, M., Devilee, P., Diez, O., Ding, Y.C., Dite, G.S., Domchek, S.M., Dörk, T., dos-Santos-Silva, I., Droit, A., Dubois, S., Dumont, M., Duran, M., Durcan, L., Dwek, M., Eccles, D.M., Engel, C., Eriksson, M., Evans, D.G., Fasching, P.A., Fletcher, O., Floris, G., Flyger, H., Foretova, L., Foulkes, W.D., Friedman, E., Fritschi, L., Frost, D., Gabrielson, M., Gago-Dominguez, M., Gambino, G., Ganz, P.A., Gapstur, S.M., Garber, J., García-Sáenz, J.A., Gaudet, M.M., Georgoulias, V., Giles, G., Glendon, G., Godwin, A.K., Goldberg, M.S., Goldgar, D.E., González-Neira, A., Tibiletti, M.G., Greene, M.H., Grip, M., Gronwald, J., Grundy, A., Guénel, P., Hahnen, E., Haiman, C.A., Håkansson, N., Hall, P., Hamann, U., Harrington, P.A., Hartikainen, J.M., Hartman, M., He, W., Healey, C.S., Heemskerk-Gerritsen, B.A.M., Heyworth, J., Hillemanns, P., Hogervorst, F.B.L., Hollestelle, A., Hooning, M., Hopper, J., Howell, A., Huang, G., Hulick, P.J., Imyanitov, E.N., Sexton, A., Christian, A., Trainer, A., Spigelman, A., Fellows, A., Shelling, A., Fazio, A.D., Blackburn, A., Crook, A., Meiser, B., Patterson, B., Clarke, C., Saunders, C., Hunt, C., Scott, C., Amor, D., Marsh, D., Edkins, E., Salisbury, E., Haan, E., Neidermayr, E., Macrea, F., Farshid, G., Lindeman, G., Chenevix-Trench, G., Mann, G., Gill, G., Thorne, H., Hickie, I., Winship, I., Flanagan, J., Kollias, J., Visvader, J., Stone, J., Taylor, J., Burke, J., Saunus, J., Forbes, J., Kirk, J., French, J., Tucker, K., Wu, K., Phillips, K., Lipton, L., Andrews, L., Lobb, L., Kentwell, M., Spurdle, M., Cummings, M., Gleeson, M., Harris, M., Jenkins, M., Young, M.A., Delatycki, M., Wallis, M., Burgess, M., Price, M., Brown, M., Southey, M., Bogwitz, M., Field, M., Friedlander, M., Gattas, M., Saleh, M., Hayward, N., Pachter, N., Cohen, P., Duijf, P., James, P., Simpson, P., Fong, P., Butow, P., Williams, R., Kefford, R., Scott, R., Milne, R.L., Balleine, R., Dawson, S.–J., Lok, S., O’Connell, S., Greening, S., Nightingale, S., Edwards, S., Fox, S., McLachlan, S.-A., Lakhani, S., Antill, Y., Aalfs, C., Meijers-Heijboer, H., van Engelen, K., Gille, H., Boere, I., van Deurzen, C., Obdeijn, I.-M., van den Ouweland, A., Seynaeve, C., Siesling, S., Verloop, J., van Asperen, C.J., van Cronenburg, T., Blok, R., de Boer, M., Garcia, E.G., Adank, M., Hogervorst, F., Jenner, D., van Leeuwen, F., Rookus, M., Russell, N., Schmidt, M., van den Belt-Dusebout, S., Kets, C., Mensenkamp, A., de Bock, T., van der Hout, A., Mourits, M., Oosterwijk, J., Ausems, M., Koudijs, M., Baxter, R., Yip, D., Carpenter, J., Davis, A., Pathmanathan, N., Graham, D., Sachchithananthan, M., Isaacs, C., Iwasaki, M., Jager, A., Jakimovska, M., Jakubowska, A., James, P.A., Janavicius, R., Jankowitz, R.C., John, E.M., Johnson, N., Jones, M.E., Jukkola-Vuorinen, A., Jung, A., Kaaks, R., Kang, D., Kapoor, P.M., Karlan, B.Y., Keeman, R., Kerin, M.J., Khusnutdinova, E., Kiiski, J.I., Kitahara, C.M., Ko, Y.-D., Konstantopoulou, I., Kosma, V.-M., Koutros, S., Kubelka-Sabit, K., Kwong, A., Kyriacou, K., Laitman, Y., Lambrechts, D., Lee, E., Leslie, G., Lester, J., Lesueur, F., Lindblom, A., Lo, W.-Y., Long, J., Lophatananon, A., Loud, J.T., Lubiński, J., MacInnis, R.J., Maishman, T., Makalic, E., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, M.E., Matsuo, K., Maurer, T., Mavroudis, D., Mayes, R., McGuffog, L., McLean, C., Meindl, A., Miller, A., Miller, N., Montagna, M., Moreno, F., Muir, K., Mulligan, A.M., Muñoz-Garzon, V.M., Muranen, T.A., Narod, S.A., Nassir, R., Nathanson, K.L., Neuhausen, S.L., Nevanlinna, H., Neven, P., Nielsen, F.C., Nikitina-Zake, L., Norman, A., Offit, K., Olah, E., Olopade, O.I., Olsson, H., Orr, N., Osorio, A., Pankratz, V.S., Papp, J., Park, S.K., Park-Simon, T.-W., Parsons, M.T., Paul, J., Pedersen, I.S., Peissel, B., Peshkin, B., Peterlongo, P., Peto, J., Plaseska-Karanfilska, D., Prajzendanc, K., Prentice, R., Presneau, N., Prokofyeva, D., Pujana, M.A., Pylkäs, K., Radice, P., Ramus, S.J., Rantala, J., Rau-Murthy, R., Rennert, G., Risch, H.A., Robson, M., Romero, A., Rossing, M., Saloustros, E., Sánchez-Herrero, E., Sandler, D.P., Santamariña, M., Sawyer, E.J., Scheuner, M.T., Schmidt, D.F., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., Schöttker, B., Schürmann, P., Scott, R.J., Senter, L., Seynaeve, C.M., Shah, M., Sharma, P., Shen, C.-Y., Shu, X.-O., Singer, C.F., Slavin, T.P., Smichkoska, S., Southey, M.C., Spinelli, J.J., Spurdle, A.B., Sutter, C., Swerdlow, A.J., Tamimi, R.M., Tan, Y.Y., Tapper, W.J., Taylor, J.A., Teixeira, M.R., Tengström, M., Teo, S.H., Terry, M.B., Teulé, A., Thomassen, M., Thull, D.L., Toland, A.E., Tollenaar, R.A.E.M., Tomlinson, I., Torres, D., Torres-Mejía, G., Troester, M.A., Truong, T., Tung, N., Tzardi, M., Ulmer, H.-U., Vachon, C.M., van der Kolk, L.E., van Rensburg, E.J., Vega, A., Viel, A., Vijai, J., Vogel, M.J., Wang, Q., Wappenschmidt, B., Weinberg, C.R., Weitzel, J.N., Wendt, C., Wildiers, H., Winqvist, R., Wolk, A., Wu, A.H., Yannoukakos, D., Zhang, Y., Zheng, W., Hunter, D., Pharoah, P.D.P., Chang-Claude, J., García-Closas, M., Schmidt, M.K., Kristensen, V.N., French, J.D., Edwards, S.L., Antoniou, A.C., Simard, J., Easton, D.F., Kraft, P., Dunning, A.M., Collaborators, GEMO Study, Collaborators, EMBRACE, Investigators, KConFab, Investigators, HEBON, Investigators, ABCTB, Fachal, Laura, Aschard, Hugues, Beesley, Jonathan, Barnes, Daniel R, Duijf, Pascal, Dunning, Alison M, GEMO Study Collaborators, EMBRACE Collaborators, KConFab Investigators, HEBON Investigators, ABCTB Investigators, MUMC+: MA Medische Oncologie (9), RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy, Klinische Genetica, MUMC+: DA KG Polikliniek (9), RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA KG Lab Centraal Lab (9), European Commission, Government of Canada, Canadian Institutes of Health Research, National Institutes of Health (US), Cancer Research UK, Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), QIMR Berghofer Medical Research Institute, University of Cambridge [UK] (CAM), NSCAD, University of Cyprus [Nicosia], Harvard T.H. Chan School of Public Health, This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme under Marie Sklodowska-Curie grant agreement number 656144. Genotyping of the OncoArray was principally funded from three sources: the PERSPECTIVE project (funded by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research, the ‘Ministère de l’Économie de la Science et de l’Innovation du Québec’ (through Genome Québec) and the Quebec Breast Cancer Foundation), the NCI Genetic Associations and Mechanisms in Oncology (GAME-ON) initiative and the Discovery, Biology and Risk of Inherited Variants in Breast Cancer (DRIVE) project (NIH grants U19 CA148065 and X01HG007492), and Cancer Research UK (C1287/A10118, C8197/A16565 and C1287/A16563). BCAC is funded by Cancer Research UK (C1287/A16563), by the European Community’s Seventh Framework Programme under grant agreement 223175 (HEALTH-F2-2009-223175) (COGS) and by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreements 633784 (B-CAST) and 634935 (BRIDGES). Genotyping of the iCOGS array was funded by the European Union (HEALTH-F2-2009-223175), Cancer Research UK (C1287/A10710), the Canadian Institutes of Health Research for the ‘CIHR Team in Familial Risks of Breast Cancer’ program, and the Ministry of Economic Development, Innovation and Export Trade of Quebec (grant PSR-SIIRI-701). Combining of the GWAS data was supported in part by NIH Cancer Post-Cancer GWAS initiative grant U19 CA 148065 (DRIVE, part of the GAME-ON initiative). For a full description of funding and acknowledgments, see the Supplementary Note., We thank all of the individuals who took part in these studies, as well as all of the researchers, clinicians, technicians and administrative staff who enabled this work to be carried out, European Project: 656144,H2020,H2020-MSCA-IF-2014,RADIOGENFF(2016), European Project: 223175,EC:FP7:HEALTH,FP7-HEALTH-2007-B,COGS(2009), European Project: 633784,H2020,H2020-PHC-2014-two-stage,B-CAST(2015), European Project: 634935,H2020,H2020-PHC-2014-two-stage,BRIDGES(2015), Clinical Genetics, Medical Oncology, Pathology, Radiology & Nuclear Medicine, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of Cyprus [Nicosia] (UCY), Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Life Course Epidemiology (LCE), Targeted Gynaecologic Oncology (TARGON), ​Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Aschard, Hugues [0000-0002-7554-6783], Barnes, Daniel R [0000-0002-3781-7570], Dennis, Joe [0000-0003-4591-1214], Michailidou, Kyriaki [0000-0001-7065-1237], Lemaçon, Audrey [0000-0002-1817-7029], Andrulis, Irene L [0000-0002-4226-6435], Arason, Adalgeir [0000-0003-0480-886X], Arndt, Volker [0000-0001-9320-8684], Auber, Bernd [0000-0003-1880-291X], Azzollini, Jacopo [0000-0002-9364-9778], Bojesen, Stig E [0000-0002-4061-4133], Bonanni, Bernardo [0000-0003-3589-2128], Brauch, Hiltrud [0000-0001-7531-2736], Campbell, Ian [0000-0002-7773-4155], Carroll, Jason S [0000-0003-3643-0080], Claes, Kathleen BM [0000-0003-0841-7372], Collée, J Margriet [0000-0002-9272-9346], Devilee, Peter [0000-0002-8023-2009], Dörk, Thilo [0000-0002-9458-0282], Dwek, Miriam [0000-0001-7184-2932], Fletcher, Olivia [0000-0001-9387-7116], Floris, Giuseppe [0000-0003-2391-5425], Foulkes, William D [0000-0001-7427-4651], García-Sáenz, José A [0000-0001-6880-0301], Greene, Mark H [0000-0003-1852-9239], Guénel, Pascal [0000-0002-8359-518X], Heemskerk-Gerritsen, Bernadette AM [0000-0002-9724-6693], Hollestelle, Antoinette [0000-0003-1166-1966], Hulick, Peter J [0000-0001-8397-4078], Jakimovska, Milena [0000-0002-1506-0669], Jakubowska, Anna [0000-0002-5650-0501], James, Paul A [0000-0002-4361-4657], Jones, Michael E [0000-0001-7479-3451], Kapoor, Pooja Middha [0000-0001-5503-8215], Keeman, Renske [0000-0002-5452-9933], Konstantopoulou, Irene [0000-0002-0470-0309], Leslie, Goska [0000-0001-5756-6222], Lesueur, Fabienne [0000-0001-7404-4549], Matsuo, Keitaro [0000-0003-1761-6314], McLean, Catriona [0000-0002-0302-5727], Miller, Austin [0000-0001-9739-8462], Muir, Kenneth [0000-0001-6429-988X], Muranen, Taru A [0000-0002-5895-1808], Nathanson, Katherine L [0000-0002-6740-0901], Nevanlinna, Heli [0000-0002-0916-2976], Olopade, Olufunmilayo I [0000-0002-9936-1599], Orr, Nick [0000-0003-2866-942X], Pankratz, V Shane [0000-0002-3742-040X], Parsons, Michael T [0000-0003-3242-8477], Paul, James [0000-0001-7367-5816], Peshkin, Beth [0000-0002-2997-4701], Peterlongo, Paolo [0000-0001-6951-6855], Peto, Julian [0000-0002-1685-8912], Plaseska-Karanfilska, Dijana [0000-0001-8877-2416], Pylkäs, Katri [0000-0002-2449-0521], Radice, Paolo [0000-0001-6298-4111], Rennert, Gad [0000-0002-8512-068X], Robson, Mark [0000-0002-3109-1692], Romero, Atocha [0000-0002-1634-7397], Saloustros, Emmanouil [0000-0002-0485-0120], Scott, Christopher [0000-0003-1340-0647], Scott, Rodney J [0000-0001-7724-3404], Spurdle, Amanda B [0000-0003-1337-7897], Stone, Jennifer [0000-0001-5077-0124], Sutter, Christian [0000-0003-4051-5888], Tan, Yen Yen [0000-0003-1063-5352], Teixeira, Manuel R [0000-0002-4896-5982], Toland, Amanda E [0000-0002-0271-1792], Tomlinson, Ian [0000-0003-3037-1470], Viel, Alessandra [0000-0003-2804-0840], Vijai, Joseph [0000-0002-7933-151X], Wolk, Alicja [0000-0001-7387-6845], Yannoukakos, Drakoulis [0000-0001-7509-3510], Pharoah, Paul DP [0000-0001-8494-732X], Schmidt, Marjanka K [0000-0002-2228-429X], Milne, Roger L [0000-0001-5764-7268], Edwards, Stacey L [0000-0001-7428-4139], Simard, Jacques [0000-0001-6906-3390], Easton, Douglas F [0000-0003-2444-3247], Kraft, Peter [0000-0002-4472-8103], Dunning, Alison M [0000-0001-6651-7166], Apollo - University of Cambridge Repository, Academic Medical Center, ARD - Amsterdam Reproduction and Development, Human genetics, CCA - Cancer biology and immunology, Molecular cell biology and Immunology, Medicum, Kristiina Aittomäki / Principal Investigator, HUSLAB, Department of Medical and Clinical Genetics, University of Helsinki, HUS Comprehensive Cancer Center, Department of Oncology, Clinicum, Doctoral Programme in Clinical Research, Staff Services, INDIVIDRUG - Individualized Drug Therapy, HUS Gynecology and Obstetrics, and Department of Obstetrics and Gynecology

Subjects
CHROMATIN, Linkage disequilibrium, Genome-wide association study, Regulatory Sequences, Nucleic Acid, Genome-wide association studies, Linkage Disequilibrium, Basic medicine, 0302 clinical medicine, Breast cancer, MESH: Risk Factors, Risk Factors, COMPREHENSIVE MOLECULAR PORTRAITS, 11 Medical and Health Sciences, HEBON Investigators, Genetics & Heredity, 0303 health sciences, [STAT.AP]Statistics [stat]/Applications [stat.AP], PROTEIN FUNCTION, Tumor, breast tumor, MESH: Polymorphism, Single Nucleotide, 1184 Genetics, developmental biology, physiology, MESH: Genetic Predisposition to Disease, apoptosis, Chromosome Mapping, Single Nucleotide, 3. Good health, MESH: Linkage Disequilibrium, Female, MESH: Biomarkers, Tumor, Biomarkers, Tumor/genetics, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Life Sciences & Biomedicine, SUSCEPTIBILITY LOCI, MESH: Bayes Theorem, Quantitative Trait Loci, ABCTB Investigators, INTEGRATIVE ANALYSIS, Breast Neoplasms, Computational biology, Biology, Quantitative trait locus, Breast Neoplasms/genetics, Polymorphism, Single Nucleotide, Article, ENHANCER, GEMO Study Collaborators, 03 medical and health sciences, breast cancer, SDG 3 - Good Health and Well-being, REVEALS, Genetics, Biomarkers, Tumor, MESH: Regulatory Sequences, Nucleic Acid, Humans, Genetic Predisposition to Disease, Polymorphism, GENOME-WIDE ASSOCIATION, FUNCTIONAL VARIANTS, EMBRACE Collaborators, Gene, 030304 developmental biology, Genetic association, Bayes Theorem, Genome-Wide Association Study, MESH: Humans, Science & Technology, Nucleic Acid, gene mapping, 06 Biological Sciences, MESH: Quantitative Trait Loci, DNA binding site, ESTROGEN-RECEPTOR, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Clinical medicine, Expression quantitative trait loci, MESH: Genome-Wide Association Study, Human genome, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, KConFab Investigators, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], MESH: Chromosome Mapping, Chromosome Mapping/methods, Regulatory Sequences, MESH: Female, Biomarkers, 030217 neurology & neurosurgery, MESH: Breast Neoplasms, Developmental Biology
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., This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme under Marie Sklodowska-Curie grant agreement number 656144. Genotyping of the OncoArray was principally funded from three sources: the PERSPECTIVE project (funded by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research, the ‘Ministère de l’Économie de la Science et de l’Innovation du Québec’ (through Genome Québec) and the Quebec Breast Cancer Foundation); the NCI Genetic Associations and Mechanisms in Oncology (GAME-ON) initiative and the Discovery, Biology and Risk of Inherited Variants in Breast Cancer (DRIVE) project (NIH grants U19 CA148065 and X01HG007492); and Cancer Research UK (C1287/A10118, C8197/A16565 and C1287/A16563). BCAC is funded by Cancer Research UK (C1287/A16563), by the European Community’s Seventh Framework Programme under grant agreement 223175 (HEALTH-F2-2009-223175) (COGS) and by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreements 633784 (B-CAST) and 634935 (BRIDGES). Genotyping of the iCOGS array was funded by the European Union (HEALTH-F2-2009-223175), Cancer Research UK (C1287/A10710), the Canadian Institutes of Health Research for the ‘CIHR Team in Familial Risks of Breast Cancer’ program, and the Ministry of Economic Development, Innovation and Export Trade of Quebec (grant PSR-SIIRI-701). Combining of the GWAS data was supported in part by NIH Cancer Post-Cancer GWAS initiative grant U19 CA 148065 (DRIVE; part of the GAME-ON initiative).

Published
2020

48. Epigenome-wide association study reveals decreased average methylation levels years before breast cancer diagnosis

Author

Domenico Palli, Graziella Frasca, Salvatore Panico, Rosario Tumino, Vittorio Krogh, Alan Ashworth, Torkjel M. Sandanger, Anthony J. Swerdlow, Paolo Vineis, Karin van Veldhoven, Edward Curry, Michael Jones, Silvia Polidoro, Katarzyna Tomczyk, Marc Chadeau-Hyam, Gianluca Severi, Carlotta Sacerdote, Nick Orr, Amalia Mattiello, Kirsty Flower, Claudia Agnoli, Laura Baglietto, Eiliv Lund, Montserrat Garcia-Closas, Giovanna Masala, James M. Flanagan, van Veldhoven, Karin, Polidoro, Silvia, Baglietto, Laura, Severi, Gianluca, Sacerdote, Carlotta, Panico, Salvatore, Mattiello, Amalia, Palli, Domenico, Masala, Giovanna, Krogh, Vittorio, Agnoli, Claudia, Tumino, Rosario, Frasca, Graziella, Flower, Kirsty, Curry, Ed, Orr, Nichola, Tomczyk, Katarzyna, Jones, Michael E, Ashworth, Alan, Swerdlow, Anthony, Chadeau Hyam, Marc, Lund, Eiliv, Garcia Closas, Montserrat, Sandanger, Torkjel M, Flanagan, James M, and Vineis, Paolo

Subjects
Biomarker, Breast cancer, EWAS, Methylation, Peripheral blood, Risk, Genetics, Molecular Biology, Developmental Biology, Genetics (clinical), Oncology, medicine.medical_specialty, Bisulfite sequencing, Lower risk, Bioinformatics, SDG 3 - Good Health and Well-being, Internal medicine, medicine, business.industry, Research, Cancer, Odds ratio, medicine.disease, 3. Good health, European Prospective Investigation into Cancer and Nutrition, DNA methylation, business
Abstract

Background Interest in the potential of DNA methylation in peripheral blood as a biomarker of cancer risk is increasing. We aimed to assess whether epigenome-wide DNA methylation measured in peripheral blood samples obtained before onset of the disease is associated with increased risk of breast cancer. We report on three independent prospective nested case-control studies from the European Prospective Investigation into Cancer and Nutrition (EPIC-Italy; n = 162 matched case-control pairs), the Norwegian Women and Cancer study (NOWAC; n = 168 matched pairs), and the Breakthrough Generations Study (BGS; n = 548 matched pairs). We used the Illumina 450k array to measure methylation in the EPIC and NOWAC cohorts. Whole-genome bisulphite sequencing (WGBS) was performed on the BGS cohort using pooled DNA samples, combined to reach 50× coverage across ~16 million CpG sites in the genome including 450k array CpG sites. Mean β values over all probes were calculated as a measurement for epigenome-wide methylation. Results In EPIC, we found that high epigenome-wide methylation was associated with lower risk of breast cancer (odds ratio (OR) per 1 SD = 0.61, 95 % confidence interval (CI) 0.47–0.80; −0.2 % average difference in epigenome-wide methylation for cases and controls). Specifically, this was observed in gene bodies (OR = 0.51, 95 % CI 0.38–0.69) but not in gene promoters (OR = 0.92, 95 % CI 0.64–1.32). The association was not replicated in NOWAC (OR = 1.03 95 % CI 0.81–1.30). The reasons for heterogeneity across studies are unclear. However, data from the BGS cohort was consistent with epigenome-wide hypomethylation in breast cancer cases across the overlapping 450k probe sites (difference in average epigenome-wide methylation in case and control DNA pools = −0.2 %). Conclusions We conclude that epigenome-wide hypomethylation of DNA from pre-diagnostic blood samples may be predictive of breast cancer risk and may thus be useful as a clinical biomarker. Electronic supplementary material The online version of this article (doi:10.1186/s13148-015-0104-2) contains supplementary material, which is available to authorized users.

Published
2015

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