Author: "Clarke, Christine L" - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Clarke, Christine L"' showing total 620 results

Start Over Author "Clarke, Christine L"

620 results on '"Clarke, Christine L"'

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

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

2. Incorporating progesterone receptor expression into the PREDICT breast prognostic model

Author: Grootes, Isabelle, Keeman, Renske, Blows, Fiona M, Milne, Roger L, Giles, Graham G, Swerdlow, Anthony J, Fasching, Peter A, Abubakar, Mustapha, Andrulis, Irene L, Anton-Culver, Hoda, Beckmann, Matthias W, Blomqvist, Carl, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Briceno, Ignacio, Burwinkel, Barbara, Camp, Nicola J, Castelao, Jose E, Choi, Ji-Yeob, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Devilee, Peter, Dörk, Thilo, Dunning, Alison M, Dwek, Miriam, Easton, Douglas F, Eccles, Diana M, Eriksson, Mikael, Ernst, Kristina, Evans, D Gareth, Figueroa, Jonine D, Fink, Visnja, Floris, Giuseppe, Fox, Stephen, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Sáenz, José A, González-Neira, Anna, Haeberle, Lothar, Haiman, Christopher A, Hall, Per, Hamann, Ute, Harkness, Elaine F, Hartman, Mikael, Hein, Alexander, Hooning, Maartje J, Hou, Ming-Feng, Howell, Sacha J, Investigators, ABCTB, Investigators, kConFab, Ito, Hidemi, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kang, Daehee, Kristensen, Vessela N, Kwong, Ava, Lambrechts, Diether, Li, Jingmei, Lubiński, Jan, Manoochehri, Mehdi, Margolin, Sara, Matsuo, Keitaro, Taib, Nur Aishah Mohd, Mulligan, Anna Marie, Nevanlinna, Heli, Newman, William G, Offit, Kenneth, Osorio, Ana, Park, Sue K, Park-Simon, Tjoung-Won, Patel, Alpa V, Presneau, Nadege, Pylkäs, Katri, Rack, Brigitte, Radice, Paolo, Rennert, Gad, Romero, Atocha, Saloustros, Emmanouil, Sawyer, Elinor J, Schneeweiss, Andreas, Schochter, Fabienne, Schoemaker, Minouk J, Shen, Chen-Yang, Shibli, Rana, Sinn, Peter, Tapper, William J, Tawfiq, Essa, Teo, Soo Hwang, Teras, Lauren R, Torres, Diana, Vachon, Celine M, van Deurzen, Carolien HM, Wendt, Camilla, and Williams, Justin A
Subjects: Cancer, Breast Cancer, Breast Neoplasms, Female, Humans, Progesterone, Prognosis, Receptor, ErbB-2, Receptors, Progesterone, PREDICT Breast, breast cancer, Progesterone receptor, ABCTB Investigators, kConFab Investigators, Receptor, erbB-2, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract: BackgroundPredict Breast (www.predict.nhs.uk) is an online prognostication and treatment benefit tool for early invasive breast cancer. The aim of this study was to incorporate the prognostic effect of progesterone receptor (PR) status into a new version of PREDICT and to compare its performance to the current version (2.2).MethodThe prognostic effect of PR status was based on the analysis of data from 45,088 European patients with breast cancer from 49 studies in the Breast Cancer Association Consortium. Cox proportional hazard models were used to estimate the hazard ratio for PR status. Data from a New Zealand study of 11,365 patients with early invasive breast cancer were used for external validation. Model calibration and discrimination were used to test the model performance.ResultsHaving a PR-positive tumour was associated with a 23% and 28% lower risk of dying from breast cancer for women with oestrogen receptor (ER)-negative and ER-positive breast cancer, respectively. The area under the ROC curve increased with the addition of PR status from 0.807 to 0.809 for patients with ER-negative tumours (p = 0.023) and from 0.898 to 0.902 for patients with ER-positive tumours (p = 2.3 × 10-6) in the New Zealand cohort. Model calibration was modest with 940 observed deaths compared to 1151 predicted.ConclusionThe inclusion of the prognostic effect of PR status to PREDICT Breast has led to an improvement of model performance and more accurate absolute treatment benefit predictions for individual patients. Further studies should determine whether the baseline hazard function requires recalibration.
Published: 2022

3. 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

4. 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

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

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

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

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

7. Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information

Author: Khushi, Matloob, Edwards, Georgina, de Marcos, Diego Alonso, Carpenter, Jane E, Graham, J Dinny, and Clarke, Christine L
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract: Virtual microscopy includes digitisation of histology slides and the use of computer technologies for complex investigation of diseases such as cancer. However, automated image analysis, or website publishing of such digital images, is hampered by their large file sizes. We have developed two Java based open source tools: Snapshot Creator and NDPI-Splitter. Snapshot Creator converts a portion of a large digital slide into a desired quality JPEG image. The image is linked to the patients clinical and treatment information in a customised open source cancer data management software (Caisis) in use at the Australian Breast Cancer Tissue Bank (ABCTB) and then published on the ABCTB website www.abctb.org.au using Deep Zoom open source technology. Using the ABCTB online search engine, digital images can be searched by defining various criteria such as cancer type, or biomarkers expressed. NDPI-Splitter splits a large image file into smaller sections of TIFF images so that they can be easily analysed by image analysis software such as Metamorph or Matlab. NDPI-Splitter also has the capacity to filter out empty images. Snapshot Creator and NDPI-Splitter are novel open source Java tools. They convert digital slides into files of smaller size for further processing. In conjunction with other open source tools such as Deep Zoom and Caisis, this suite of tools is used for the management and archiving of digital microscopy images, enabling digitised images to be explored and zoomed online. Our online image repository also has the capacity to be used as a teaching resource. These tools also enable large files to be sectioned for image analysis.
Published: 2020
Full Text: View/download PDF

8. Functional annotation of the 2q35 breast cancer risk locus implicates a structural variant in influencing activity of a long-range enhancer element

Author: Baxter, Joseph S, Johnson, Nichola, Tomczyk, Katarzyna, Gillespie, Andrea, Maguire, Sarah, Brough, Rachel, Fachal, Laura, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Brenner, Hermann, Brucker, Sara Y, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Choi, Ji-Yeob, Clarke, Christine L, Collaborators, NBCS, Colonna, Sarah, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Engel, Christoph, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Gago-Dominguez, Manuela, Gao, Chi, García-Closas, Montserrat, García-Sáenz, José A, Ghoussaini, Maya, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Guénel, Pascal, Gündert, Melanie, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Hall, Per, Hamann, Ute, Hartman, Mikael, Hatse, Sigrid, Hauke, Jan, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John L, Hou, Ming-Feng, Investigators, kConFab, Investigators, ABCTB, Ito, Hidemi, Iwasaki, Motoki, Jager, Agnes, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Joseph, Vijai, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Keeman, Renske, Khusnutdinova, Elza, Kim, Sung-Won, Kosma, Veli-Matti, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Kwong, Ava, and Lacey, James V
Subjects: Human Genome, Genetics, Cancer, Estrogen, Prevention, Breast Cancer, 2.1 Biological and endogenous factors, Aetiology, Breast Neoplasms, CRISPR-Cas Systems, Cell Line, Chromosome Mapping, Chromosomes, Human, Pair 2, Female, Genetic Association Studies, Genetic Variation, Humans, Insulin-Like Growth Factor Binding Protein 5, Molecular Sequence Annotation, Promoter Regions, Genetic, Risk Factors, Sequence Deletion, NBCS Collaborators, kConFab Investigators, ABCTB Investigators, breast cancer risk, functional annotation, risk locus, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: A combination of genetic and functional approaches has identified three independent breast cancer risk loci at 2q35. A recent fine-scale mapping analysis to refine these associations resulted in 1 (signal 1), 5 (signal 2), and 42 (signal 3) credible causal variants at these loci. We used publicly available in silico DNase I and ChIP-seq data with in vitro reporter gene and CRISPR assays to annotate signals 2 and 3. We identified putative regulatory elements that enhanced cell-type-specific transcription from the IGFBP5 promoter at both signals (30- to 40-fold increased expression by the putative regulatory element at signal 2, 2- to 3-fold by the putative regulatory element at signal 3). We further identified one of the five credible causal variants at signal 2, a 1.4 kb deletion (esv3594306), as the likely causal variant; the deletion allele of this variant was associated with an average additional increase in IGFBP5 expression of 1.3-fold (MCF-7) and 2.2-fold (T-47D). We propose a model in which the deletion allele of esv3594306 juxtaposes two transcription factor binding regions (annotated by estrogen receptor alpha ChIP-seq peaks) to generate a single extended regulatory element. This regulatory element increases cell-type-specific expression of the tumor suppressor gene IGFBP5 and, thereby, reduces risk of estrogen receptor-positive breast cancer (odds ratio = 0.77, 95% CI 0.74-0.81, p = 3.1 × 10-31).
Published: 2021

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

Author: Coignard, Juliette, Lush, Michael, Beesley, Jonathan, O'Mara, Tracy A, Dennis, Joe, Tyrer, Jonathan P, Barnes, Daniel R, McGuffog, Lesley, Leslie, Goska, Bolla, Manjeet K, Adank, Muriel A, Agata, Simona, Ahearn, Thomas, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Arun, Banu K, Augustinsson, Annelie, Azzollini, Jacopo, Barrowdale, Daniel, Baynes, Caroline, Becher, Heko, Bermisheva, Marina, Bernstein, Leslie, Białkowska, Katarzyna, Blomqvist, Carl, Bojesen, Stig E, Bonanni, Bernardo, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Buys, Saundra S, Caldés, Trinidad, Caligo, Maria A, Campa, Daniele, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, GEMO Study Collaborators, EMBRACE Collaborators, Collée, J Margriet, Conroy, Don M, Czene, Kamila, Daly, Mary B, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Domchek, Susan M, Dörk, Thilo, Dos-Santos-Silva, Isabel, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Fostira, Florentia, Friedman, Eitan, Fritschi, Lin, Frost, Debra, Gago-Dominguez, Manuela, Gapstur, Susan M, Garber, Judy, Garcia-Barberan, Vanesa, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Gayther, Simon A, Gehrig, Andrea, Georgoulias, Vassilios, Giles, Graham G, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Harrington, Patricia A, Hart, Steven N, He, Wei, Hogervorst, Frans BL, Hollestelle, Antoinette, and Hopper, John L
Subjects: GEMO Study Collaborators, EMBRACE Collaborators, KConFab Investigators, HEBON Investigators, ABCTB Investigators, Cancer
Abstract: A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-23162-4.
Published: 2021

10. Breast Cancer Risk Factors and Survival by Tumor Subtype: Pooled Analyses from the Breast Cancer Association ConsortiumBreast Cancer Risk Factors and Survival By Tumor Subtype

Author: Morra, Anna, Jung, Audrey Y, Behrens, Sabine, Keeman, Renske, Ahearn, Thomas U, Anton-Culver, Hoda, Arndt, Volker, Augustinsson, Annelie, Auvinen, Päivi K, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Blomqvist, Carl, Bojesen, Stig E, Bolla, Manjeet K, Brenner, Hermann, Briceno, Ignacio, Brucker, Sara Y, Camp, Nicola J, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chanock, Stephen J, Choi, Ji-Yeob, Clarke, Christine L, Investigators, for the ABCTB, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dörk, Thilo, Dunning, Alison M, Dwek, Miriam, Easton, Douglas F, Eccles, Diana M, Egan, Kathleen M, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Grip, Mervi, Guénel, Pascal, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Han, Sileny N, Hart, Steven N, Hartman, Mikael, Heyworth, Jane S, Hoppe, Reiner, Hopper, John L, Hunter, David J, Ito, Hidemi, Jager, Agnes, Jakimovska, Milena, Jakubowska, Anna, Janni, Wolfgang, Kaaks, Rudolf, Kang, Daehee, Kapoor, Pooja Middha, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Collaborators, for the NBCS, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lubiński, Jan, Lush, Michael, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Mariapun, Shivaani, Matsuo, Keitaro, Mavroudis, Dimitrios, Milne, Roger L, Muranen, Taru A, Newman, William G, Noh, Dong-Young, Nordestgaard, Børge G, Obi, Nadia, Olshan, Andrew F, Olsson, Håkan, Park-Simon, Tjoung-Won, Petridis, Christos, Pharoah, Paul DP, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rashid, Muhammad U, Rennert, Gad, Rennert, Hedy S, and Rhenius, Valerie
Subjects: Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Clinical Research, Aging, Estrogen, Cancer, Prevention, Breast Cancer, Good Health and Well Being, Adult, Aged, Breast Neoplasms, Cause of Death, Female, Humans, Life Style, Middle Aged, Neoplasm Invasiveness, Neoplasm Staging, Prospective Studies, Risk Factors, Survival Analysis, ABCTB Investigators, NBCS Collaborators, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract: BackgroundIt is not known whether modifiable lifestyle factors that predict survival after invasive breast cancer differ by subtype.MethodsWe analyzed data for 121,435 women diagnosed with breast cancer from 67 studies in the Breast Cancer Association Consortium with 16,890 deaths (8,554 breast cancer specific) over 10 years. Cox regression was used to estimate associations between risk factors and 10-year all-cause mortality and breast cancer-specific mortality overall, by estrogen receptor (ER) status, and by intrinsic-like subtype.ResultsThere was no evidence of heterogeneous associations between risk factors and mortality by subtype (P adj > 0.30). The strongest associations were between all-cause mortality and BMI ≥30 versus 18.5-25 kg/m2 [HR (95% confidence interval (CI), 1.19 (1.06-1.34)]; current versus never smoking [1.37 (1.27-1.47)], high versus low physical activity [0.43 (0.21-0.86)], age ≥30 years versus 0-
Published: 2021

11. 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, Oncology & Carcinogenesis, Oncology and 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

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

Author: Coignard, Juliette, Lush, Michael, Beesley, Jonathan, O'Mara, Tracy A, Dennis, Joe, Tyrer, Jonathan P, Barnes, Daniel R, McGuffog, Lesley, Leslie, Goska, Bolla, Manjeet K, Adank, Muriel A, Agata, Simona, Ahearn, Thomas, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Arun, Banu K, Augustinsson, Annelie, Azzollini, Jacopo, Barrowdale, Daniel, Baynes, Caroline, Becher, Heiko, Bermisheva, Marina, Bernstein, Leslie, Białkowska, Katarzyna, Blomqvist, Carl, Bojesen, Stig E, Bonanni, Bernardo, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Buys, Saundra S, Caldés, Trinidad, Caligo, Maria A, Campa, Daniele, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, GEMO Study Collaborators, EMBRACE Collaborators, Collée, J Margriet, Conroy, Don M, Czene, Kamila, Daly, Mary B, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Domchek, Susan M, Dörk, Thilo, Dos-Santos-Silva, Isabel, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Fostira, Florentia, Friedman, Eitan, Fritschi, Lin, Frost, Debra, Gago-Dominguez, Manuela, Gapstur, Susan M, Garber, Judy, Garcia-Barberan, Vanesa, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Gayther, Simon A, Gehrig, Andrea, Georgoulias, Vassilios, Giles, Graham G, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Harrington, Patricia A, Hart, Steven N, He, Wei, Hogervorst, Frans BL, Hollestelle, Antoinette, and Hopper, John L
Subjects: GEMO Study Collaborators, EMBRACE Collaborators, KConFab Investigators, HEBON Investigators, ABCTB Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, BRCA2 Protein, Risk Factors, Genotype, Linkage Disequilibrium, Mutation, Polymorphism, Single Nucleotide, Alleles, Quantitative Trait Loci, Adult, Middle Aged, Female, Genome-Wide Association Study, Breast Cancer, Prevention, Cancer, Genetic Testing, Human Genome, Genetics, 2.1 Biological and endogenous factors
Abstract: Breast cancer (BC) risk for BRCA1 and BRCA2 mutation carriers varies by genetic and familial factors. About 50 common variants have been shown to modify BC risk for mutation carriers. All but three, were identified in general population studies. Other mutation carrier-specific susceptibility variants may exist but studies of mutation carriers have so far been underpowered. We conduct a novel case-only genome-wide association study comparing genotype frequencies between 60,212 general population BC cases and 13,007 cases with BRCA1 or BRCA2 mutations. We identify robust novel associations for 2 variants with BC for BRCA1 and 3 for BRCA2 mutation carriers, P
Published: 2021

13. 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

14. Breast Cancer Polygenic Risk Score and Contralateral Breast Cancer Risk

Author: Kramer, Iris, Hooning, Maartje J, Mavaddat, Nasim, Hauptmann, Michael, Keeman, Renske, Steyerberg, Ewout W, Giardiello, Daniele, Antoniou, Antonis C, Pharoah, Paul DP, Canisius, Sander, Abu-Ful, Zumuruda, Andrulis, Irene L, Anton-Culver, Hoda, Aronson, Kristan J, Augustinsson, Annelie, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Brauch, Hiltrud, Bremer, Michael, Brucker, Sara Y, Burwinkel, Barbara, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Choi, Ji-Yeob, Clarke, Christine L, Collée, J Margriet, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, dos-Santos-Silva, Isabel, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Giles, Graham G, Goldgar, David E, González-Neira, Anna, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Hartman, Mikael, Heemskerk-Gerritsen, Bernadette AM, Hollestelle, Antoinette, Hopper, John L, Hou, Ming-Feng, Howell, Anthony, Ito, Hidemi, Jakimovska, Milena, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kang, Daehee, Kets, C Marleen, Khusnutdinova, Elza, Ko, Yon-Dschun, Kristensen, Vessela N, Kurian, Allison W, Kwong, Ava, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Matsuo, Keitaro, Mavroudis, Dimitrios, Meindl, Alfons, Milne, Roger, Mulligan, Anna Marie, Muranen, Taru A, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Olshan, Andrew F, Olson, Janet E, Olsson, Håkan, Park-Simon, Tjoung-Won, and Peto, Julian
Subjects: Breast Cancer, Prevention, Cancer, Adult, Aged, Asian People, Breast Neoplasms, Cohort Studies, Estrogen Receptor alpha, Female, Gene Expression, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Middle Aged, Multifactorial Inheritance, Neoadjuvant Therapy, Neoplasms, Second Primary, Prognosis, Proportional Hazards Models, Receptor, ErbB-2, Receptors, Progesterone, Risk Assessment, White People, NBCS Collaborators, ABCTB Investigators, kConFab Investigators, Receptor, erbB-2, contralateral breast cancer, epidemiology, genetic, polygenic risk score, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: Previous research has shown that polygenic risk scores (PRSs) can be used to stratify women according to their risk of developing primary invasive breast cancer. This study aimed to evaluate the association between a recently validated PRS of 313 germline variants (PRS313) and contralateral breast cancer (CBC) risk. We included 56,068 women of European ancestry diagnosed with first invasive breast cancer from 1990 onward with follow-up from the Breast Cancer Association Consortium. Metachronous CBC risk (N = 1,027) according to the distribution of PRS313 was quantified using Cox regression analyses. We assessed PRS313 interaction with age at first diagnosis, family history, morphology, ER status, PR status, and HER2 status, and (neo)adjuvant therapy. In studies of Asian women, with limited follow-up, CBC risk associated with PRS313 was assessed using logistic regression for 340 women with CBC compared with 12,133 women with unilateral breast cancer. Higher PRS313 was associated with increased CBC risk: hazard ratio per standard deviation (SD) = 1.25 (95%CI = 1.18-1.33) for Europeans, and an OR per SD = 1.15 (95%CI = 1.02-1.29) for Asians. The absolute lifetime risks of CBC, accounting for death as competing risk, were 12.4% for European women at the 10th percentile and 20.5% at the 90th percentile of PRS313. We found no evidence of confounding by or interaction with individual characteristics, characteristics of the primary tumor, or treatment. The C-index for the PRS313 alone was 0.563 (95%CI = 0.547-0.586). In conclusion, PRS313 is an independent factor associated with CBC risk and can be incorporated into CBC risk prediction models to help improve stratification and optimize surveillance and treatment strategies.
Published: 2020

15. Transcriptome‐wide association study of breast cancer risk by estrogen‐receptor status

Author: Feng, Helian, Gusev, Alexander, Pasaniuc, Bogdan, Wu, Lang, Long, Jirong, Abu‐full, Zomoroda, Aittomäki, Kristiina, Andrulis, Irene L, Anton‐Culver, Hoda, Antoniou, Antonis C, Arason, Adalgeir, Arndt, Volker, Aronson, Kristan J, Arun, Banu K, Asseryanis, Ella, Auer, Paul L, Azzollini, Jacopo, Balmaña, Judith, Barkardottir, Rosa B, Barnes, Daniel R, Barrowdale, Daniel, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Białkowska, Katarzyna, Blanco, Ana, Blomqvist, Carl, Boeckx, Bram, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Broeks, Annegien, Brüning, Thomas, Burwinkel, Barbara, Cai, Qiuyin, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Canisius, Sander, Campa, Daniele, Carter, Brian D, Carter, Jonathan, Castelao, Jose E, Chang‐Claude, Jenny, Chanock, Stephen J, Christiansen, Hans, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, Collaborators, GEMO Study, Collaborators, EMBRACE, Collaborators, GC‐HBOC study, Couch, Fergus J, Cox, Angela, Cross, Simon S, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, de la Hoya, Miguel, De Leeneer, Kim, Dennis, Joe, Devilee, Peter, Diez, Orland, Domchek, Susan M, Dörk, Thilo, dos‐Santos‐Silva, Isabel, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Ejlertsen, Bent, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Fostira, Florentia, Friedman, Eitan, Fritschi, Lin, Frost, Debra, Gabrielson, Marike, Ganz, Patricia A, Gapstur, Susan M, Garber, Judy, García‐Closas, Montserrat, García‐Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Glendon, Gord, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González‐Neira, Anna, and Greene, Mark H
Subjects: Biological Sciences, Health Sciences, Genetics, Cancer, Biotechnology, Prevention, Clinical Research, Human Genome, Estrogen, Breast Cancer, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Estrogens, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Receptors, Estrogen, Risk Assessment, Transcriptome, Vesicular Transport Proteins, breast cancer subtype, causal gene, GWAS, TWAS, GEMO Study Collaborators, EMBRACE Collaborators, GC-HBOC study Collaborators, ABCTB Investigators, HEBON Investigators, BCFR Investigators, OCGN Investigators, Public Health and Health Services, Epidemiology
Abstract: Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta-analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER-). We further compared associations with ER+ and ER- subtypes, using a case-only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER- breast cancer. We further identified 30 TWAS-significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast-cancer gene in three of six regions harboring multiple TWAS-significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER- breast cancer.
Published: 2020

16. Germline HOXB13 mutations p.G84E and p.R217C do not confer an increased breast cancer risk.

Author: Liu, Jingjing, Prager-van der Smissen, Wendy JC, Collée, J Margriet, Bolla, Manjeet K, Wang, Qin, Michailidou, Kyriaki, Dennis, Joe, Ahearn, Thomas U, Aittomäki, Kristiina, Ambrosone, Christine B, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Augustinsson, Annelie, Auvinen, Päivi, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bermisheva, Marina, Bernstein, Leslie, Bogdanova, Natalia V, Bogdanova-Markov, Nadja, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Cai, Qiuyin, Cai, Hui, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Choi, Ji-Yeob, Christiaens, Melissa, Clarke, Christine L, NBCS Collaborators, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dos-Santos-Silva, Isabel, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Fritschi, Lin, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, Goldgar, David E, Guénel, Pascal, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Harrington, Patricia A, Hart, Steven N, Hartman, Mikael, Hillemanns, Peter, Hopper, John L, Hou, Ming-Feng, Hunter, David J, Huo, Dezheng, ABCTB Investigators, Ito, Hidemi, Iwasaki, Motoki, Jakimovska, Milena, Jakubowska, Anna, John, Esther M, Kaaks, Rudolf, Kang, Daehee, Keeman, Renske, Khusnutdinova, Elza, Kim, Sung-Won, Kraft, Peter, Kristensen, Vessela N, Kurian, Allison W, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lophatananon, Artitaya, Luben, Robert N, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, and Mariapun, Shivaani
Subjects: NBCS Collaborators, ABCTB Investigators
Abstract: In breast cancer, high levels of homeobox protein Hox-B13 (HOXB13) have been associated with disease progression of ER-positive breast cancer patients and resistance to tamoxifen treatment. Since HOXB13 p.G84E is a prostate cancer risk allele, we evaluated the association between HOXB13 germline mutations and breast cancer risk in a previous study consisting of 3,270 familial non-BRCA1/2 breast cancer cases and 2,327 controls from the Netherlands. Although both recurrent HOXB13 mutations p.G84E and p.R217C were not associated with breast cancer risk, the risk estimation for p.R217C was not very precise. To provide more conclusive evidence regarding the role of HOXB13 in breast cancer susceptibility, we here evaluated the association between HOXB13 mutations and increased breast cancer risk within 81 studies of the international Breast Cancer Association Consortium containing 68,521 invasive breast cancer patients and 54,865 controls. Both HOXB13 p.G84E and p.R217C did not associate with the development of breast cancer in European women, neither in the overall analysis (OR = 1.035, 95% CI = 0.859-1.246, P = 0.718 and OR = 0.798, 95% CI = 0.482-1.322, P = 0.381 respectively), nor in specific high-risk subgroups or breast cancer subtypes. Thus, although involved in breast cancer progression, HOXB13 is not a material breast cancer susceptibility gene.
Published: 2020

17. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses.

Author: Zhang, Haoyu, Ahearn, Thomas U, Lecarpentier, Julie, Barnes, Daniel, Beesley, Jonathan, Qi, Guanghao, Jiang, Xia, O'Mara, Tracy A, Zhao, Ni, Bolla, Manjeet K, Dunning, Alison M, Dennis, Joe, Wang, Qin, Ful, Zumuruda Abu, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Arun, Banu K, Auer, Paul L, Azzollini, Jacopo, Barrowdale, Daniel, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bialkowska, Katarzyna, Blanco, Ana, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Bondavalli, Davide, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Broeks, Annegien, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Byers, Helen, Caldés, Trinidad, Caligo, Maria A, Calvello, Mariarosaria, Campa, Daniele, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Christiaens, Melissa, Christiansen, Hans, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, Cornelissen, Sten, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Diez, Orland, Domchek, Susan M, Dörk, Thilo, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Foretova, Lenka, Fostira, Florentia, Friedman, Eitan, Frost, Debra, Gago-Dominguez, Manuela, Gapstur, Susan M, Garber, Judy, García-Sáenz, José A, Gaudet, Mia M, Gayther, Simon A, Giles, Graham G, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Gronwald, Jacek, Guénel, Pascal, Häberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Hake, Christopher R, Hall, Per, Hamann, Ute, Harkness, Elaine F, Heemskerk-Gerritsen, Bernadette AM, and Hillemanns, Peter
Subjects: kConFab Investigators, ABCTB Investigators, EMBRACE Study, GEMO Study Collaborators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, Case-Control Studies, Linkage Disequilibrium, Mutation, Female, Genome-Wide Association Study, Triple Negative Breast Neoplasms, Human Genome, Cancer, Prevention, Genetics, Breast Cancer, 2.1 Biological and endogenous factors, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract: Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1-3. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P
Published: 2020

18. 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

19. A network analysis to identify mediators of germline-driven differences in breast cancer prognosis.

Author: Escala-Garcia, Maria, Abraham, Jean, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Ashworth, Alan, Auer, Paul L, Auvinen, Päivi, Beckmann, Matthias W, Beesley, Jonathan, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Blot, William, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brucker, Sara Y, Burwinkel, Barbara, Caldas, Carlos, Canzian, Federico, Chang-Claude, Jenny, Chanock, Stephen J, Chin, Suet-Feung, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Dennis, Joe, Devilee, Peter, Dunn, Janet A, Dunning, Alison M, Dwek, Miriam, Earl, Helena M, Eccles, Diana M, Eliassen, A Heather, Ellberg, Carolina, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, George, Angela, Giles, Graham G, Goldgar, David E, González-Neira, Anna, Grip, Mervi, Guénel, Pascal, Guo, Qi, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Harrington, Patricia A, Hiller, Louise, Hooning, Maartje J, Hopper, John L, Howell, Anthony, Huang, Chiun-Sheng, Huang, Guanmengqian, Hunter, David J, Jakubowska, Anna, John, Esther M, Kaaks, Rudolf, Kapoor, Pooja Middha, Keeman, Renske, Kitahara, Cari M, Koppert, Linetta B, Kraft, Peter, Kristensen, Vessela N, Lambrechts, Diether, Le Marchand, Loic, Lejbkowicz, Flavio, Lindblom, Annika, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Maria Elena, Maurer, Tabea, Mavroudis, Dimitrios, Meindl, Alfons, Milne, Roger L, Mulligan, Anna Marie, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Olshan, Andrew F, Olson, Janet E, and Olsson, Håkan
Subjects: Germ Cells, Humans, Breast Neoplasms, GTP-Binding Protein alpha Subunits, GTP-Binding Protein alpha Subunits, Gq-G11, Receptors, Estrogen, Prognosis, Computational Biology, Signal Transduction, Apoptosis, Genotype, Female, Gene Regulatory Networks, Genetic Variation, Genome-Wide Association Study, Circadian Clocks, Gq-G11, Receptors, Estrogen, Cancer, Breast Cancer, Genetics, 2.1 Biological and endogenous factors, 4.1 Discovery and preclinical testing of markers and technologies
Abstract: Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based analysis studies ~7.3 million variants in 84,457 breast cancer patients in relation to breast cancer survival and confirms the results on 12,381 independent patients. Aggregating the prognostic effects of genetic variants across multiple genes, we identify four gene modules associated with survival in estrogen receptor (ER)-negative and one in ER-positive disease. The modules show biological enrichment for cancer-related processes such as G-alpha signaling, circadian clock, angiogenesis, and Rho-GTPases in apoptosis.
Published: 2020

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

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

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

Author: Dörk, Thilo, Peterlongo, Paolo, Mannermaa, Arto, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Freeman, Laura E Beane, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Behrens, Sabine, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Canzian, Federico, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Choi, Ji-Yeob, Christiansen, Hans, Clarke, Christine L, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Dos-Santos-Silva, Isabel, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gao, Chi, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, Goldgar, David E, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hartman, Mikael, Hauke, Jan, Hein, Alexander, Hillemanns, Peter, Hogervorst, Frans BL, Hooning, Maartje J, Hopper, John L, Howell, Tony, Huo, Dezheng, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Kapoor, Pooja Middha, Khusnutdinova, Elza, Kim, Sung-Won, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kwong, Ava, Lambrechts, Diether, Marchand, Loic Le, Li, Jingmei, Lindström, Sara, Linet, Martha, Lo, Wing-Yee, Long, Jirong, Lophatananon, Artitaya, Lubiński, Jan, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Elena, Matsuo, Keitaro, Mavroudis, Dimitris, and Meindl, Alfons
Subjects: ABCTB Investigators, NBCS Collaborators, Humans, Breast Neoplasms, Fanconi Anemia, Genetic Predisposition to Disease, BRCA1 Protein, BRCA2 Protein, Case-Control Studies, Sequence Deletion, Female, Fanconi Anemia Complementation Group C Protein, Genetic Variation, Clinical Research, Breast Cancer, Genetics, Cancer, 2.1 Biological and endogenous factors, Biochemistry and Cell Biology, Other Physical Sciences
Abstract: Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44-1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.
Published: 2019

22. Associations of obesity and circulating insulin and glucose with breast cancer risk: a Mendelian randomization analysis.

Author: Shu, Xiang, Wu, Lang, Khankari, Nikhil K, Shu, Xiao-Ou, Wang, Thomas J, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Milne, Roger L, Schmidt, Marjanka K, Pharoah, Paul DP, Andrulis, Irene L, Hunter, David J, Simard, Jacques, Easton, Douglas F, Zheng, Wei, Alicia, Beeghly-Fadiel J, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Barrdahl, Myrto, Baynes, Caroline, Beane Freeman, Laura E, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brinton, Louise, Broberg, Per, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Cai, Qiuyin, Caldés, Trinidad, Canzian, Federico, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chenevix-Trench, Georgia, David Cheng, Ting-Yuan, Clarke, Christine L, Conroy, Don M, Couch, Fergus J, Cox, David G, Cox, Angela, Cross, Simon S, Cunningham, Julie M, Czene, Kamila, Daly, Mary B, Doheny, Kimberly F, Dörk, Thilo, dos-Santos-Silva, Isabel, Dumont, Martine, Dunning, Alison M, Dwek, Miriam, Earp, H Shelton, Eccles, Diana M, Heather Eliassen, A, Engel, Christoph, Eriksson, Mikael, Gareth Evans, D, Fachal, Laura, Fasching, Peter A, Figueroa, Jonine, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, Gaudet, Mia M, Ghoussaini, Maya, Giles, Graham G, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hallberg, Emily, Hamann, Ute, Harrington, Patricia, He, Wei, Hein, Alexander, Hicks, Belynda, Hillemanns, Peter, Hogervorst, Frans B, Hollestelle, Antoinette, and Hoover, Robert N
Subjects: Clinical Research, Diabetes, Prevention, Nutrition, Obesity, Cancer, Aging, Breast Cancer, Genetics, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Adult, Aged, Blood Glucose, Body Mass Index, Breast Neoplasms, Diabetes Mellitus, Type 2, Female, Humans, Insulin, Mendelian Randomization Analysis, Middle Aged, Obesity, Abdominal, Waist-Hip Ratio, Breast cancer, insulin, glucose, obesity, genetics, Mendelian randomization analysis, Breast Cancer Association Consortium, Statistics, Public Health and Health Services, Epidemiology
Abstract: BackgroundIn addition to the established association between general obesity and breast cancer risk, central obesity and circulating fasting insulin and glucose have been linked to the development of this common malignancy. Findings from previous studies, however, have been inconsistent, and the nature of the associations is unclear.MethodsWe conducted Mendelian randomization analyses to evaluate the association of breast cancer risk, using genetic instruments, with fasting insulin, fasting glucose, 2-h glucose, body mass index (BMI) and BMI-adjusted waist-hip-ratio (WHRadj BMI). We first confirmed the association of these instruments with type 2 diabetes risk in a large diabetes genome-wide association study consortium. We then investigated their associations with breast cancer risk using individual-level data obtained from 98 842 cases and 83 464 controls of European descent in the Breast Cancer Association Consortium.ResultsAll sets of instruments were associated with risk of type 2 diabetes. Associations with breast cancer risk were found for genetically predicted fasting insulin [odds ratio (OR) = 1.71 per standard deviation (SD) increase, 95% confidence interval (CI) = 1.26-2.31, p = 5.09 × 10-4], 2-h glucose (OR = 1.80 per SD increase, 95% CI = 1.3 0-2.49, p = 4.02 × 10-4), BMI (OR = 0.70 per 5-unit increase, 95% CI = 0.65-0.76, p = 5.05 × 10-19) and WHRadj BMI (OR = 0.85, 95% CI = 0.79-0.91, p = 9.22 × 10-6). Stratified analyses showed that genetically predicted fasting insulin was more closely related to risk of estrogen-receptor [ER]-positive cancer, whereas the associations with instruments of 2-h glucose, BMI and WHRadj BMI were consistent regardless of age, menopausal status, estrogen receptor status and family history of breast cancer.ConclusionsWe confirmed the previously reported inverse association of genetically predicted BMI with breast cancer risk, and showed a positive association of genetically predicted fasting insulin and 2-h glucose and an inverse association of WHRadj BMI with breast cancer risk. Our study suggests that genetically determined obesity and glucose/insulin-related traits have an important role in the aetiology of breast cancer.
Published: 2019

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

Author: Ferreira, Manuel A, Gamazon, Eric R, Al-Ejeh, Fares, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arason, Adalgeir, Arndt, Volker, Aronson, Kristan J, Arun, Banu K, Asseryanis, Ella, Azzollini, Jacopo, Balmaña, Judith, Barnes, Daniel R, Barrowdale, Daniel, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Białkowska, Katarzyna, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Broeks, Annegien, Burwinkel, Barbara, Caldés, Trinidad, Caligo, Maria A, Campa, Daniele, Campbell, Ian, Canzian, Federico, Carter, Jonathan, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Christiansen, Hans, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, EMBRACE Collaborators, GC-HBOC Study Collaborators, GEMO Study Collaborators, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, de la Hoya, Miguel, Dennis, Joe, Devilee, Peter, Diez, Orland, Dörk, Thilo, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Ejlertsen, Bent, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Friedman, Eitan, Frost, Debra, Gabrielson, Marike, Gago-Dominguez, Manuela, Ganz, Patricia A, Gapstur, Susan M, Garber, Judy, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Glendon, Gord, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Gronwald, Jacek, Guénel, Pascal, Haiman, Christopher A, Hall, Per, Hamann, Ute, He, Wei, Heyworth, Jane, Hogervorst, Frans BL, Hollestelle, Antoinette, Hoover, Robert N, Hopper, John L, Hulick, Peter J, Humphreys, Keith, Imyanitov, Evgeny N, ABCTB Investigators, HEBON Investigators, and BCFR Investigators
Subjects: EMBRACE Collaborators, GC-HBOC Study Collaborators, GEMO Study Collaborators, ABCTB Investigators, HEBON Investigators, BCFR Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Gene Expression Profiling, Quantitative Trait Loci, Female, Genome-Wide Association Study, Prevention, Cancer, Human Genome, Aging, Breast Cancer, Genetics, Biotechnology, 2.1 Biological and endogenous factors
Abstract: Genome-wide association studies (GWAS) have identified more than 170 breast cancer susceptibility loci. Here we hypothesize that some risk-associated variants might act in non-breast tissues, specifically adipose tissue and immune cells from blood and spleen. Using expression quantitative trait loci (eQTL) reported in these tissues, we identify 26 previously unreported, likely target genes of overall breast cancer risk variants, and 17 for estrogen receptor (ER)-negative breast cancer, several with a known immune function. We determine the directional effect of gene expression on disease risk measured based on single and multiple eQTL. In addition, using a gene-based test of association that considers eQTL from multiple tissues, we identify seven (and four) regions with variants associated with overall (and ER-negative) breast cancer risk, which were not reported in previous GWAS. Further investigation of the function of the implicated genes in breast and immune cells may provide insights into the etiology of breast cancer.
Published: 2019

24. Genome-wide association study of germline variants and breast cancer-specific mortality.

Author: Escala-Garcia, Maria, Guo, Qi, Dörk, Thilo, Canisius, Sander, Keeman, Renske, Dennis, Joe, Beesley, Jonathan, Lecarpentier, Julie, Bolla, Manjeet K, Wang, Qin, Abraham, Jean, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Auer, Paul L, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Boeckx, Bram, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brentnall, Adam, Brinton, Louise, Broberg, Per, Brock, Ian W, Brucker, Sara Y, Burwinkel, Barbara, Caldas, Carlos, Caldés, Trinidad, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Cheng, Ting-Yuan David, Chin, Suet-Feung, Clarke, Christine L, NBCS Collaborators, Cordina-Duverger, Emilie, Couch, Fergus J, Cox, David G, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dunn, Janet A, Dunning, Alison M, Durcan, Lorraine, Dwek, Miriam, Earl, Helena M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Figueroa, Jonine, Flesch-Janys, Dieter, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Galle, Eva, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, George, Angela, Georgoulias, Vassilios, Giles, Graham G, Glendon, Gord, Goldgar, David E, González-Neira, Anna, Alnæs, Grethe I Grenaker, Grip, Mervi, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan, Harkness, Elaine F, Harrington, Patricia A, Hart, Steven N, Hartikainen, Jaana M, Hein, Alexander, Hillemanns, Peter, Hiller, Louise, and Holleczek, Bernd
Subjects: NBCS Collaborators, Chromosomes, Human, Pair 7, Humans, Breast Neoplasms, Receptors, Estrogen, Prognosis, Proportional Hazards Models, Bayes Theorem, Female, Genetic Variation, Genome-Wide Association Study, White People, Genetics, Breast Cancer, Human Genome, Cancer, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract: BackgroundWe examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry.MethodsMeta-analyses included summary estimates based on Cox models of twelve datasets using ~10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP).ResultsWe did not find any variant associated with breast cancer-specific mortality at P
Published: 2019

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

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

26. The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer

Author: Figlioli, Gisella, Bogliolo, Massimo, Catucci, Irene, Caleca, Laura, Lasheras, Sandra Viz, Pujol, Roser, Kiiski, Johanna I, Muranen, Taru A, Barnes, Daniel R, Dennis, Joe, Michailidou, Kyriaki, Bolla, Manjeet K, Leslie, Goska, Aalfs, Cora M, Adank, Muriel A, Adlard, Julian, Agata, Simona, Cadoo, Karen, Agnarsson, Bjarni A, Ahearn, Thomas, Aittomäki, Kristiina, Ambrosone, Christine B, Andrews, Lesley, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Arun, Banu K, Asseryanis, Ella, Auber, Bernd, Auvinen, Päivi, Azzollini, Jacopo, Balmaña, Judith, Barkardottir, Rosa B, Barrowdale, Daniel, Barwell, Julian, Beane Freeman, Laura E, Beauparlant, Charles Joly, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Berger, Raanan, Bermisheva, Marina, Blanco, Amie M, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Anders, Bojesen, Stig E, Bonanni, Bernardo, Borg, Ake, Brady, Angela F, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Caldés, Trinidad, Caliebe, Almuth, Caligo, Maria A, Campa, Daniele, Campbell, Ian G, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Claes, Kathleen BM, Clarke, Christine L, Collavoli, Anita, Conner, Thomas A, Cox, David G, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, de la Hoya, Miguel, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Dite, Gillian S, Ditsch, Nina, Domchek, Susan M, Dorfling, Cecilia M, dos-Santos-Silva, Isabel, Durda, Katarzyna, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Foulkes, William D, Friebel, Tara M, Friedman, Eitan, Gabrielson, Marike, Gaddam, Pragna, and Gago-Dominguez, Manuela
Subjects: Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Clinical Research, Genetics, Breast Cancer, Cancer, Genetic Testing, 2.1 Biological and endogenous factors, Aetiology, ABCTB Investigators, GEMO Study Collaborators, KConFab, Cancer genetics, Clinical sciences, Oncology and carcinogenesis, Epidemiology
Abstract: Breast cancer is a common disease partially caused by genetic risk factors. Germline pathogenic variants in DNA repair genes BRCA1, BRCA2, PALB2, ATM, and CHEK2 are associated with breast cancer risk. FANCM, which encodes for a DNA translocase, has been proposed as a breast cancer predisposition gene, with greater effects for the ER-negative and triple-negative breast cancer (TNBC) subtypes. We tested the three recurrent protein-truncating variants FANCM:p.Arg658*, p.Gln1701*, and p.Arg1931* for association with breast cancer risk in 67,112 cases, 53,766 controls, and 26,662 carriers of pathogenic variants of BRCA1 or BRCA2. These three variants were also studied functionally by measuring survival and chromosome fragility in FANCM -/- patient-derived immortalized fibroblasts treated with diepoxybutane or olaparib. We observed that FANCM:p.Arg658* was associated with increased risk of ER-negative disease and TNBC (OR = 2.44, P = 0.034 and OR = 3.79; P = 0.009, respectively). In a country-restricted analysis, we confirmed the associations detected for FANCM:p.Arg658* and found that also FANCM:p.Arg1931* was associated with ER-negative breast cancer risk (OR = 1.96; P = 0.006). The functional results indicated that all three variants were deleterious affecting cell survival and chromosome stability with FANCM:p.Arg658* causing more severe phenotypes. In conclusion, we confirmed that the two rare FANCM deleterious variants p.Arg658* and p.Arg1931* are risk factors for ER-negative and TNBC subtypes. Overall our data suggest that the effect of truncating variants on breast cancer risk may depend on their position in the gene. Cell sensitivity to olaparib exposure, identifies a possible therapeutic option to treat FANCM-associated tumors.
Published: 2019

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

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

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

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

29. Association analysis identifies 65 new breast cancer risk loci

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

30. Predicting Functional Interactions Among DNA-Binding Proteins

Author: Khushi, Matloob, Choudhury, Nazim, Arthur, Jonathan W., Clarke, Christine L., Graham, J. Dinny, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Cheng, Long, editor, Leung, Andrew Chi Sing, editor, and Ozawa, Seiichi, editor
Published: 2018
Full Text: View/download PDF

31. PR

Author: Hilton, Heidi N., Graham, Justine D., Clarke, Christine L., and Marshall, John L., editor
Published: 2017
Full Text: View/download PDF

32. A tumour suppressive relationship between mineralocorticoid and retinoic acid receptors activates a transcriptional program consistent with a reverse Warburg effect in breast cancer

Author: Doan, Tram B., Cheung, Vanessa, Clyne, Colin D., Hilton, Heidi N., Eriksson, Natalie, Young, Morag J., Funder, John W., Muscat, George E. O., Fuller, Peter J., Clarke, Christine L., and Graham, J. Dinny
Published: 2020
Full Text: View/download PDF

33. Profiling differential microRNA expression between in situ, infiltrative and lympho-vascular space invasive breast cancer: a pilot study

Author: Soon, Patsy S., Provan, Pamela J., Kim, Edward, Pathmanathan, Nirmala, Graham, Dinny, Clarke, Christine L., and Balleine, Rosemary L.
Published: 2018
Full Text: View/download PDF

34. Data from Poor-Prognosis Estrogen Receptor–Positive Breast Cancer Identified by Histopathologic Subclassification

Author: Webster, Lucy R., primary, Lee, Shu-Fen, primary, Ringland, Clare, primary, Morey, Adrienne L., primary, Hanby, Andrew M., primary, Morgan, Graeme, primary, Byth, Karen, primary, Mote, Patricia A., primary, Provan, Pamela J., primary, Ellis, Ian O., primary, Green, Andrew R., primary, Lamoury, Gillian, primary, Ravdin, Peter, primary, Clarke, Christine L., primary, Ward, Robyn L., primary, Balleine, Rosemary L., primary, and Hawkins, Nicholas J., primary
Published: 2023
Full Text: View/download PDF

35. Supplementary Figure S1 from Poor-Prognosis Estrogen Receptor–Positive Breast Cancer Identified by Histopathologic Subclassification

Author: Webster, Lucy R., primary, Lee, Shu-Fen, primary, Ringland, Clare, primary, Morey, Adrienne L., primary, Hanby, Andrew M., primary, Morgan, Graeme, primary, Byth, Karen, primary, Mote, Patricia A., primary, Provan, Pamela J., primary, Ellis, Ian O., primary, Green, Andrew R., primary, Lamoury, Gillian, primary, Ravdin, Peter, primary, Clarke, Christine L., primary, Ward, Robyn L., primary, Balleine, Rosemary L., primary, and Hawkins, Nicholas J., primary
Published: 2023
Full Text: View/download PDF

36. Supplementary Methods, Figures 1-5 from Genomic Classification of Serous Ovarian Cancer with Adjacent Borderline Differentiates RAS Pathway and TP53-Mutant Tumors and Identifies NRAS as an Oncogenic Driver

Author: Emmanuel, Catherine, primary, Chiew, Yoke-Eng, primary, George, Joshy, primary, Etemadmoghadam, Dariush, primary, Anglesio, Michael S., primary, Sharma, Raghwa, primary, Russell, Peter, primary, Kennedy, Catherine, primary, Fereday, Sian, primary, Hung, Jillian, primary, Galletta, Laura, primary, Hogg, Russell, primary, Wain, Gerard V., primary, Brand, Alison, primary, Balleine, Rosemary, primary, MacConaill, Laura, primary, Palescandolo, Emanuele, primary, Hunter, Sally M., primary, Campbell, Ian, primary, Dobrovic, Alexander, primary, Wong, Stephen Q., primary, Do, Hongdo, primary, Clarke, Christine L., primary, Harnett, Paul R., primary, Bowtell, David D.L., primary, and deFazio, Anna, primary
Published: 2023
Full Text: View/download PDF

37. Supplementary Highlighted Methods from Genomic Classification of Serous Ovarian Cancer with Adjacent Borderline Differentiates RAS Pathway and TP53-Mutant Tumors and Identifies NRAS as an Oncogenic Driver

Author: Emmanuel, Catherine, primary, Chiew, Yoke-Eng, primary, George, Joshy, primary, Etemadmoghadam, Dariush, primary, Anglesio, Michael S., primary, Sharma, Raghwa, primary, Russell, Peter, primary, Kennedy, Catherine, primary, Fereday, Sian, primary, Hung, Jillian, primary, Galletta, Laura, primary, Hogg, Russell, primary, Wain, Gerard V., primary, Brand, Alison, primary, Balleine, Rosemary, primary, MacConaill, Laura, primary, Palescandolo, Emanuele, primary, Hunter, Sally M., primary, Campbell, Ian, primary, Dobrovic, Alexander, primary, Wong, Stephen Q., primary, Do, Hongdo, primary, Clarke, Christine L., primary, Harnett, Paul R., primary, Bowtell, David D.L., primary, and deFazio, Anna, primary
Published: 2023
Full Text: View/download PDF

38. Supplementary Data from Molecular Grading of Ductal Carcinoma In situ of the Breast

Author: Balleine, Rosemary L., primary, Webster, Lucy R., primary, Davis, Sean, primary, Salisbury, Elizabeth L., primary, Palazzo, Juan P., primary, Schwartz, Gordon F., primary, Cornfield, Dennis B., primary, Walker, Robert L., primary, Byth, Karen, primary, Clarke, Christine L., primary, and Meltzer, Paul S., primary
Published: 2023
Full Text: View/download PDF

39. Supplementary Tables 1-7 from Genomic Classification of Serous Ovarian Cancer with Adjacent Borderline Differentiates RAS Pathway and TP53-Mutant Tumors and Identifies NRAS as an Oncogenic Driver

Author: Emmanuel, Catherine, primary, Chiew, Yoke-Eng, primary, George, Joshy, primary, Etemadmoghadam, Dariush, primary, Anglesio, Michael S., primary, Sharma, Raghwa, primary, Russell, Peter, primary, Kennedy, Catherine, primary, Fereday, Sian, primary, Hung, Jillian, primary, Galletta, Laura, primary, Hogg, Russell, primary, Wain, Gerard V., primary, Brand, Alison, primary, Balleine, Rosemary, primary, MacConaill, Laura, primary, Palescandolo, Emanuele, primary, Hunter, Sally M., primary, Campbell, Ian, primary, Dobrovic, Alexander, primary, Wong, Stephen Q., primary, Do, Hongdo, primary, Clarke, Christine L., primary, Harnett, Paul R., primary, Bowtell, David D.L., primary, and deFazio, Anna, primary
Published: 2023
Full Text: View/download PDF

40. Data from Common Breast Cancer Susceptibility Loci Are Associated with Triple-Negative Breast Cancer

Author: Stevens, Kristen N., primary, Vachon, Celine M., primary, Lee, Adam M., primary, Slager, Susan, primary, Lesnick, Timothy, primary, Olswold, Curtis, primary, Fasching, Peter A., primary, Miron, Penelope, primary, Eccles, Diana, primary, Carpenter, Jane E., primary, Godwin, Andrew K., primary, Ambrosone, Christine, primary, Winqvist, Robert, primary, Brauch, Hiltrud, primary, Schmidt, Marjanka K., primary, Cox, Angela, primary, Cross, Simon S., primary, Sawyer, Elinor, primary, Hartmann, Arndt, primary, Beckmann, Matthias W., primary, Schulz-Wendtland, Rüdiger, primary, Ekici, Arif B., primary, Tapper, William J., primary, Gerty, Susan M., primary, Durcan, Lorraine, primary, Graham, Nikki, primary, Hein, Rebecca, primary, Nickels, Stephan, primary, Flesch-Janys, Dieter, primary, Heinz, Judith, primary, Sinn, Hans-Peter, primary, Konstantopoulou, Irene, primary, Fostira, Florentia, primary, Pectasides, Dimitrios, primary, Dimopoulos, Athanasios M., primary, Fountzilas, George, primary, Clarke, Christine L., primary, Balleine, Rosemary, primary, Olson, Janet E., primary, Fredericksen, Zachary, primary, Diasio, Robert B., primary, Pathak, Harsh, primary, Ross, Eric, primary, Weaver, JoEllen, primary, Rüdiger, Thomas, primary, Försti, Asta, primary, Dünnebier, Thomas, primary, Ademuyiwa, Foluso, primary, Kulkarni, Swati, primary, Pylkäs, Katri, primary, Jukkola-Vuorinen, Arja, primary, Ko, Yon-Dschun, primary, Van Limbergen, Erik, primary, Janssen, Hilde, primary, Peto, Julian, primary, Fletcher, Olivia, primary, Giles, Graham G., primary, Baglietto, Laura, primary, Verhoef, Senno, primary, Tomlinson, Ian, primary, Kosma, Veli-Matti, primary, Beesley, Jonathan, primary, Greco, Dario, primary, Blomqvist, Carl, primary, Irwanto, Astrid, primary, Liu, Jianjun, primary, Blows, Fiona M., primary, Dawson, Sarah-Jane, primary, Margolin, Sara, primary, Mannermaa, Arto, primary, Martin, Nicholas G., primary, Montgomery, Grant W., primary, Lambrechts, Diether, primary, dos Santos Silva, Isabel, primary, Severi, Gianluca, primary, Hamann, Ute, primary, Pharoah, Paul, primary, Easton, Douglas F., primary, Chang-Claude, Jenny, primary, Yannoukakos, Drakoulis, primary, Nevanlinna, Heli, primary, Wang, Xianshu, primary, and Couch, Fergus J., primary
Published: 2023
Full Text: View/download PDF

41. Supplementary Materials and Methods, Tables 1-5 from Common Breast Cancer Susceptibility Loci Are Associated with Triple-Negative Breast Cancer

Author: Stevens, Kristen N., primary, Vachon, Celine M., primary, Lee, Adam M., primary, Slager, Susan, primary, Lesnick, Timothy, primary, Olswold, Curtis, primary, Fasching, Peter A., primary, Miron, Penelope, primary, Eccles, Diana, primary, Carpenter, Jane E., primary, Godwin, Andrew K., primary, Ambrosone, Christine, primary, Winqvist, Robert, primary, Brauch, Hiltrud, primary, Schmidt, Marjanka K., primary, Cox, Angela, primary, Cross, Simon S., primary, Sawyer, Elinor, primary, Hartmann, Arndt, primary, Beckmann, Matthias W., primary, Schulz-Wendtland, Rüdiger, primary, Ekici, Arif B., primary, Tapper, William J., primary, Gerty, Susan M., primary, Durcan, Lorraine, primary, Graham, Nikki, primary, Hein, Rebecca, primary, Nickels, Stephan, primary, Flesch-Janys, Dieter, primary, Heinz, Judith, primary, Sinn, Hans-Peter, primary, Konstantopoulou, Irene, primary, Fostira, Florentia, primary, Pectasides, Dimitrios, primary, Dimopoulos, Athanasios M., primary, Fountzilas, George, primary, Clarke, Christine L., primary, Balleine, Rosemary, primary, Olson, Janet E., primary, Fredericksen, Zachary, primary, Diasio, Robert B., primary, Pathak, Harsh, primary, Ross, Eric, primary, Weaver, JoEllen, primary, Rüdiger, Thomas, primary, Försti, Asta, primary, Dünnebier, Thomas, primary, Ademuyiwa, Foluso, primary, Kulkarni, Swati, primary, Pylkäs, Katri, primary, Jukkola-Vuorinen, Arja, primary, Ko, Yon-Dschun, primary, Van Limbergen, Erik, primary, Janssen, Hilde, primary, Peto, Julian, primary, Fletcher, Olivia, primary, Giles, Graham G., primary, Baglietto, Laura, primary, Verhoef, Senno, primary, Tomlinson, Ian, primary, Kosma, Veli-Matti, primary, Beesley, Jonathan, primary, Greco, Dario, primary, Blomqvist, Carl, primary, Irwanto, Astrid, primary, Liu, Jianjun, primary, Blows, Fiona M., primary, Dawson, Sarah-Jane, primary, Margolin, Sara, primary, Mannermaa, Arto, primary, Martin, Nicholas G., primary, Montgomery, Grant W., primary, Lambrechts, Diether, primary, dos Santos Silva, Isabel, primary, Severi, Gianluca, primary, Hamann, Ute, primary, Pharoah, Paul, primary, Easton, Douglas F., primary, Chang-Claude, Jenny, primary, Yannoukakos, Drakoulis, primary, Nevanlinna, Heli, primary, Wang, Xianshu, primary, and Couch, Fergus J., primary
Published: 2023
Full Text: View/download PDF

42. Predicting Functional Interactions Among DNA-Binding Proteins

Author: Khushi, Matloob, primary, Choudhury, Nazim, additional, Arthur, Jonathan W., additional, Clarke, Christine L., additional, and Graham, J. Dinny, additional
Published: 2018
Full Text: View/download PDF

43. Novel RU486 (mifepristone) analogues with increased activity against Venezuelan Equine Encephalitis Virus but reduced progesterone receptor antagonistic activity

Author: DeBono, Aaron, Thomas, David R., Lundberg, Lindsay, Pinkham, Chelsea, Cao, Ying, Graham, J. Dinny, Clarke, Christine L., Wagstaff, Kylie M., Shechter, Sharon, Kehn-Hall, Kylene, and Jans, David A.
Published: 2019
Full Text: View/download PDF

44. Development of a technique to detect the activated form of the progesterone receptor and correlation with clinical and histopathological characteristics of endometrioid adenocarcinoma of the uterine corpus

Author: Bonneterre, Jacques, Hutt, Emilie, Bosq, Jacques, Graham, J. Dinny, Powell, Matthew A., Leblanc, Eric, Fujiwara, Keiichi, Herzog, Thomas J., Coleman, Robert L., Clarke, Christine L., Gilles, Erard M., Zukiwski, Alexander A., and Monk, Bradley J.
Published: 2015
Full Text: View/download PDF

45. Incorporating progesterone receptor expression into the PREDICT breast prognostic model

Author: Grootes, Isabelle, primary, Keeman, Renske, additional, Blows, Fiona M., additional, Milne, Roger L., additional, Giles, Graham G., additional, Swerdlow, Anthony J., additional, Fasching, Peter A., additional, Abubakar, Mustapha, additional, Andrulis, Irene L., additional, Anton-Culver, Hoda, additional, Beckmann, Matthias W., additional, Blomqvist, Carl, additional, Bojesen, Stig E., additional, Bolla, Manjeet K., additional, Bonanni, Bernardo, additional, Briceno, Ignacio, additional, Burwinkel, Barbara, additional, Camp, Nicola J., additional, Castelao, Jose E., additional, Choi, Ji-Yeob, additional, Clarke, Christine L., additional, Couch, Fergus J., additional, Cox, Angela, additional, Cross, Simon S., additional, Czene, Kamila, additional, Devilee, Peter, additional, Dörk, Thilo, additional, Dunning, Alison M., additional, Dwek, Miriam, additional, Easton, Douglas F., additional, Eccles, Diana M., additional, Eriksson, Mikael, additional, Ernst, Kristina, additional, Evans, D. Gareth, additional, Figueroa, Jonine D., additional, Fink, Visnja, additional, Floris, Giuseppe, additional, Fox, Stephen, additional, Gabrielson, Marike, additional, Gago-Dominguez, Manuela, additional, García-Sáenz, José A., additional, González-Neira, Anna, additional, Haeberle, Lothar, additional, Haiman, Christopher A., additional, Hall, Per, additional, Hamann, Ute, additional, Harkness, Elaine F., additional, Hartman, Mikael, additional, Hein, Alexander, additional, Hooning, Maartje J., additional, Hou, Ming-Feng, additional, Howell, Sacha J., additional, Ito, Hidemi, additional, Jakubowska, Anna, additional, Janni, Wolfgang, additional, John, Esther M., additional, Jung, Audrey, additional, Kang, Daehee, additional, Kristensen, Vessela N., additional, Kwong, Ava, additional, Lambrechts, Diether, additional, Li, Jingmei, additional, Lubiński, Jan, additional, Manoochehri, Mehdi, additional, Margolin, Sara, additional, Matsuo, Keitaro, additional, Taib, Nur Aishah Mohd, additional, Mulligan, Anna Marie, additional, Nevanlinna, Heli, additional, Newman, William G., additional, Offit, Kenneth, additional, Osorio, Ana, additional, Park, Sue K., additional, Park-Simon, Tjoung-Won, additional, Patel, Alpa V., additional, Presneau, Nadege, additional, Pylkäs, Katri, additional, Rack, Brigitte, additional, Radice, Paolo, additional, Rennert, Gad, additional, Romero, Atocha, additional, Saloustros, Emmanouil, additional, Sawyer, Elinor J., additional, Schneeweiss, Andreas, additional, Schochter, Fabienne, additional, Schoemaker, Minouk J., additional, Shen, Chen-Yang, additional, Shibli, Rana, additional, Sinn, Peter, additional, Tapper, William J., additional, Tawfiq, Essa, additional, Teo, Soo Hwang, additional, Teras, Lauren R., additional, Torres, Diana, additional, Vachon, Celine M., additional, van Deurzen, Carolien H.M., additional, Wendt, Camilla, additional, Williams, Justin A., additional, Winqvist, Robert, additional, Elwood, Mark, additional, Schmidt, Marjanka K., additional, García-Closas, Montserrat, additional, and Pharoah, Paul D.P., additional
Published: 2022
Full Text: View/download PDF

46. 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, Borresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Bruening, Thomas, Burwinkel, Barbara, Buys, Saundra S., Canzian, Federico, Castelao, Jose E., Chang-Claude, Jenny, Chanock, Stephen J., Chenevix-Trench, Georgia, Clarke, Christine L., Collee, J. Margriet, Cox, Angela, Cross, Simon S., Czene, Kamila, Daly, Mary B., Devilee, Peter, Dork, Thilo, Dwek, Miriam, Eccles, Diana M., Evans, D. Gareth, Fasching, Peter A., Figueroa, Jonine, Floris, Giuseppe, Gago-Dominguez, Manuela, Gapstur, Susan M., Garcia-Saenz, Jose A., Gaudet, Mia M., Giles, Graham G., Goldberg, Mark S., Gonzalez-Neira, Anna, Alnaes, Grethe I. Grenaker, Grip, Mervi, Guenel, Pascal, Haiman, Christopher A., Hall, Per, Hamann, Ute, Harkness, Elaine F., Heemskerk-Gerritsen, Bernadette A. M., 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., Kruger, 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, Hakan, Orr, Nick, Park-Simon, Tjoung-Won, Patel, Alpa, V, Peto, Julian, Pita, Guillermo, Plaseska-Karanfilska, Dijana, Prentice, Ross, Punie, Kevin, Pylkas, Katri, Radice, Paolo, Rennert, Gad, Romero, Atocha, Ruediger, Thomas, Saloustros, Emmanouil, Sampson, Sarah, Sandler, Dale P., Sawyer, Elinor J., Schmutzler, Rita K., Schoemaker, Minouk J., Schottker, 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 H. M., 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 D. P., Schmidt, Marjanka K., Garcia-Closas, Montserrat, Chatterjee, Nilanjan, 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, Borresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Bruening, Thomas, Burwinkel, Barbara, Buys, Saundra S., Canzian, Federico, Castelao, Jose E., Chang-Claude, Jenny, Chanock, Stephen J., Chenevix-Trench, Georgia, Clarke, Christine L., Collee, J. Margriet, Cox, Angela, Cross, Simon S., Czene, Kamila, Daly, Mary B., Devilee, Peter, Dork, Thilo, Dwek, Miriam, Eccles, Diana M., Evans, D. Gareth, Fasching, Peter A., Figueroa, Jonine, Floris, Giuseppe, Gago-Dominguez, Manuela, Gapstur, Susan M., Garcia-Saenz, Jose A., Gaudet, Mia M., Giles, Graham G., Goldberg, Mark S., Gonzalez-Neira, Anna, Alnaes, Grethe I. Grenaker, Grip, Mervi, Guenel, Pascal, Haiman, Christopher A., Hall, Per, Hamann, Ute, Harkness, Elaine F., Heemskerk-Gerritsen, Bernadette A. M., 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., Kruger, 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, Hakan, Orr, Nick, Park-Simon, Tjoung-Won, Patel, Alpa, V, Peto, Julian, Pita, Guillermo, Plaseska-Karanfilska, Dijana, Prentice, Ross, Punie, Kevin, Pylkas, Katri, Radice, Paolo, Rennert, Gad, Romero, Atocha, Ruediger, Thomas, Saloustros, Emmanouil, Sampson, Sarah, Sandler, Dale P., Sawyer, Elinor J., Schmutzler, Rita K., Schoemaker, Minouk J., Schottker, 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 H. M., 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 D. P., Schmidt, Marjanka K., Garcia-Closas, Montserrat, and Chatterjee, Nilanjan
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.
Published: 2022
Full Text: View/download PDF

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

Author: Dixon-Suen, Suzanne C., Lewis, Sarah J., Martin, Richard M., English, Dallas R., Boyle, Terry, Giles, Graham G., Michailidou, Kyriaki, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Lush, Michael, Ahearn, Thomas U., Ambrosone, Christine B., Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J., Augustinsson, Annelie, Auvinen, Paivi, Beane Freeman, Laura E., Becher, Heiko, Beckmann, Matthias W., Behrens, Sabine, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia, V, Bojesen, Stig E., Bonanni, Bernardo, Brenner, Hermann, Bruening, Thomas, Buys, Saundra S., Camp, Nicola J., Campa, Daniele, Canzian, Federico, Castelao, Jose E., Cessna, Melissa H., Chang-Claude, Jenny, Chanock, Stephen J., Clarke, Christine L., Conroy, Don M., Couch, Fergus J., Cox, Angela, Cross, Simon S., Czene, Kamila, Daly, Mary B., Devilee, Peter, Doerk, Thilo, Dwek, Miriam, Eccles, Diana M., Eliassen, A. Heather, Engel, Christoph, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Garcia-Closas, Montserrat, Garcia-Saenz, Jose A., Goldberg, Mark S., Guenel, Pascal, Guendert, Melanie, Hahnen, Eric, Haiman, Christopher A., Haeberle, Lothar, Hakansson, Niclas, Hall, Per, Hamann, Ute, Hart, Steven N., Harvie, Michelle, Hillemanns, Peter, Hollestelle, Antoinette, Hooning, Maartje J., Hoppe, Reiner, Hopper, John, Howell, Anthony, Hunter, David J., Jakubowska, Anna, Janni, Wolfgang, John, Esther M., Jung, Audrey, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M., Koutros, Stella, Kraft, Peter, Kristensen, Vessela N., Kubelka-Sabit, Katerina, Kurian, Allison W., Lacey, James, V, Lambrechts, Diether, Le Marchand, Loic, Lindblom, Annika, Loibl, Sibylle, Lubinski, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, Mavroudis, Dimitrios, Menon, Usha, Mulligan, Anna Marie, Murphy, Rachel A., Nevanlinna, Heli, Nevelsteen, Ines, Newman, William G., Offit, Kenneth, Olshan, Andrew F., Olsson, Hakan, Orr, Nick, Patel, Alpa, Peto, Julian, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rack, Brigitte, Radice, Paolo, Rees-Punia, Erika, Rennert, Gad, Rennert, Hedy S., Romero, Atocha, Saloustros, Emmanouil, Sandler, Dale P., Schmidt, Marjanka K., Schmutzler, Rita K., Schwentner, Lukas, Scott, Christopher, Shah, Mitul, Shu, Xiao-Ou, Simard, Jacques, Southey, Melissa C., Stone, Jennifer, Surowy, Harald, Swerdlow, Anthony J., Tamimi, Rulla M., Tapper, William J., Taylor, Jack A., Terry, Mary Beth, Tollenaar, Rob A. E. M., Troester, Melissa A., Truong, Therese, Untch, Michael, Vachon, Celine M., Joseph, Vijai, Wappenschmidt, Barbara, Weinberg, Clarice R., Wolk, Alicja, Yannoukakos, Drakoulis, Zheng, Wei, Ziogas, Argyrios, Dunning, Alison M., Pharoah, Paul D. P., Easton, Douglas F., Milne, Roger L., Lynch, Brigid M., Dixon-Suen, Suzanne C., Lewis, Sarah J., Martin, Richard M., English, Dallas R., Boyle, Terry, Giles, Graham G., Michailidou, Kyriaki, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Lush, Michael, Ahearn, Thomas U., Ambrosone, Christine B., Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J., Augustinsson, Annelie, Auvinen, Paivi, Beane Freeman, Laura E., Becher, Heiko, Beckmann, Matthias W., Behrens, Sabine, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia, V, Bojesen, Stig E., Bonanni, Bernardo, Brenner, Hermann, Bruening, Thomas, Buys, Saundra S., Camp, Nicola J., Campa, Daniele, Canzian, Federico, Castelao, Jose E., Cessna, Melissa H., Chang-Claude, Jenny, Chanock, Stephen J., Clarke, Christine L., Conroy, Don M., Couch, Fergus J., Cox, Angela, Cross, Simon S., Czene, Kamila, Daly, Mary B., Devilee, Peter, Doerk, Thilo, Dwek, Miriam, Eccles, Diana M., Eliassen, A. Heather, Engel, Christoph, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Garcia-Closas, Montserrat, Garcia-Saenz, Jose A., Goldberg, Mark S., Guenel, Pascal, Guendert, Melanie, Hahnen, Eric, Haiman, Christopher A., Haeberle, Lothar, Hakansson, Niclas, Hall, Per, Hamann, Ute, Hart, Steven N., Harvie, Michelle, Hillemanns, Peter, Hollestelle, Antoinette, Hooning, Maartje J., Hoppe, Reiner, Hopper, John, Howell, Anthony, Hunter, David J., Jakubowska, Anna, Janni, Wolfgang, John, Esther M., Jung, Audrey, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M., Koutros, Stella, Kraft, Peter, Kristensen, Vessela N., Kubelka-Sabit, Katerina, Kurian, Allison W., Lacey, James, V, Lambrechts, Diether, Le Marchand, Loic, Lindblom, Annika, Loibl, Sibylle, Lubinski, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, Mavroudis, Dimitrios, Menon, Usha, Mulligan, Anna Marie, Murphy, Rachel A., Nevanlinna, Heli, Nevelsteen, Ines, Newman, William G., Offit, Kenneth, Olshan, Andrew F., Olsson, Hakan, Orr, Nick, Patel, Alpa, Peto, Julian, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rack, Brigitte, Radice, Paolo, Rees-Punia, Erika, Rennert, Gad, Rennert, Hedy S., Romero, Atocha, Saloustros, Emmanouil, Sandler, Dale P., Schmidt, Marjanka K., Schmutzler, Rita K., Schwentner, Lukas, Scott, Christopher, Shah, Mitul, Shu, Xiao-Ou, Simard, Jacques, Southey, Melissa C., Stone, Jennifer, Surowy, Harald, Swerdlow, Anthony J., Tamimi, Rulla M., Tapper, William J., Taylor, Jack A., Terry, Mary Beth, Tollenaar, Rob A. E. M., Troester, Melissa A., Truong, Therese, Untch, Michael, Vachon, Celine M., Joseph, Vijai, Wappenschmidt, Barbara, Weinberg, Clarice R., Wolk, Alicja, Yannoukakos, Drakoulis, Zheng, Wei, Ziogas, Argyrios, Dunning, Alison M., Pharoah, Paul D. P., Easton, Douglas F., Milne, Roger L., and Lynch, Brigid M.
Abstract: Objectives Physical inactivity and sedentary behaviour are associated with higher breast cancer risk in observational studies, but ascribing causality is difficult. Mendelian randomisation (MR) assesses causality by simulating randomised trial groups using genotype. We assessed whether lifelong physical activity or sedentary time, assessed using genotype, may be causally associated with breast cancer risk overall, pre/post-menopause, and by case-groups defined by tumour characteristics. Methods We performed two-sample inverse-variance-weighted MR using individual-level Breast Cancer Association Consortium case-control data from 130 957 European-ancestry women (69 838 invasive cases), and published UK Biobank data (n=91 105-377 234). Genetic instruments were single nucleotide polymorphisms (SNPs) associated in UK Biobank with wrist-worn accelerometer-measured overall physical activity (n(snps)=5) or sedentary time (n(snps)=6), or accelerometer-measured (n(snps)=1) or self-reported (n(snps)=5) vigorous physical activity. Results Greater genetically-predicted overall activity was associated with lower breast cancer overall risk (OR=0.59; 95% confidence interval (CI) 0.42 to 0.83 per-standard deviation (SD;similar to 8 milligravities acceleration)) and for most case-groups. Genetically-predicted vigorous activity was associated with lower risk of pre/perimenopausal breast cancer (OR=0.62; 95% CI 0.45 to 0.87,>= 3 vs. 0 self-reported days/week), with consistent estimates for most case-groups. Greater genetically-predicted sedentary time was associated with higher hormone-receptor-negative tumour risk (OR=1.77; 95% CI 1.07 to 2.92 per-SD (similar to 7% time spent sedentary)), with elevated estimates for most case-groups. Results were robust to sensitivity analyses examining pleiotropy (including weighted-median-MR, MR-Egger). Conclusion Our study provides strong evidence that greater overall physical activity, greater vigorous activity, and lower sedentary time are likely
Published: 2022

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

Author: Dixon-Suen, Suzanne C., Lewis, Sarah J., Martin, Richard M., English, Dallas R., Boyle, Terry, Giles, Graham G., Michailidou, Kyriaki, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Lush, Michael, Ahearn, Thomas U., Ambrosone, Christine B., Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J., Augustinsson, Annelie, Auvinen, Päivi, Freeman, Laura E.Beane, Becher, Heiko, Beckmann, Matthias W., Behrens, Sabine, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V., Bojesen, Stig E., Bonanni, Bernardo, Brenner, Hermann, Brüning, Thomas, Buys, Saundra S., Camp, Nicola J., Campa, Daniele, Canzian, Federico, Castelao, Jose E., Cessna, Melissa H., Chang-Claude, Jenny, Chanock, Stephen J., Clarke, Christine L., Conroy, Don M., Couch, Fergus J., Cox, Angela, Cross, Simon S., Czene, Kamila, Daly, Mary B., Devilee, Peter, Dörk, Thilo, Dwek, Miriam, Eccles, Diana M., Eliassen, A. Heather, Engel, Christoph, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, Goldberg, Mark S., Guénel, Pascal, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A., Häberle, Lothar, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hart, Steven N., Harvie, Michelle, Hillemanns, Peter, Hollestelle, Antoinette, Hooning, Maartje J., Hoppe, Reiner, Hopper, John L., Howell, Anthony, Hunter, David J., Jakubowska, Anna, Janni, Wolfgang, John, Esther M., Jung, Audrey Y., Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M., Koutros, Stella, Kraft, Peter, Kristensen, Vessela N., Kubelka-Sabit, Katerina, Kurian, Allison W., Lacey, James V., Lambrechts, Diether, Marchand, Loic Le, Lindblom, Annika, Loibl, Sibylle, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, Mavroudis, Dimitrios, Menon, Usha, Mulligan, Anna Marie, Murphy, Rachel A., Nevanlinna, Heli, Nevelsteen, Ines, Newman, William G., Offit, Kenneth, Olshan, Andrew F., Olsson, Håkan, Orr, Nick, Patel, Alpa V., Peto, Julian, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rack, Brigitte, Radice, Paolo, Rees-Punia, Erika, Rennert, Gad, Rennert, Hedy S., Romero, Atocha, Saloustros, Emmanouil, Sandler, Dale P., Schmidt, Marjanka K, Schmutzler, Rita K., Schwentner, Lukas, Scott, Christopher, Shah, Mitul, Shu, Xiao Ou, Simard, Jacques, Southey, Melissa C., Stone, Jennifer, Surowy, Harald, Swerdlow, Anthony J., Tamimi, Rulla M., Tapper, William J., Taylor, Jack A., Terry, Mary Beth, Tollenaar, Rob A.E.M., Troester, Melissa A., Truong, Thérèse, Untch, Michael, Vachon, Celine M., Joseph, Vijai, Wappenschmidt, Barbara, Weinberg, Clarice R., Wolk, Alicja, Yannoukakos, Drakoulis, Zheng, Wei, Ziogas, Argyrios, Dunning, Alison M., Pharoah, Paul D.P., Easton, Douglas F., Milne, Roger L., Lynch, Brigid M., Dixon-Suen, Suzanne C., Lewis, Sarah J., Martin, Richard M., English, Dallas R., Boyle, Terry, Giles, Graham G., Michailidou, Kyriaki, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Lush, Michael, Ahearn, Thomas U., Ambrosone, Christine B., Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J., Augustinsson, Annelie, Auvinen, Päivi, Freeman, Laura E.Beane, Becher, Heiko, Beckmann, Matthias W., Behrens, Sabine, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V., Bojesen, Stig E., Bonanni, Bernardo, Brenner, Hermann, Brüning, Thomas, Buys, Saundra S., Camp, Nicola J., Campa, Daniele, Canzian, Federico, Castelao, Jose E., Cessna, Melissa H., Chang-Claude, Jenny, Chanock, Stephen J., Clarke, Christine L., Conroy, Don M., Couch, Fergus J., Cox, Angela, Cross, Simon S., Czene, Kamila, Daly, Mary B., Devilee, Peter, Dörk, Thilo, Dwek, Miriam, Eccles, Diana M., Eliassen, A. Heather, Engel, Christoph, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, Goldberg, Mark S., Guénel, Pascal, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A., Häberle, Lothar, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hart, Steven N., Harvie, Michelle, Hillemanns, Peter, Hollestelle, Antoinette, Hooning, Maartje J., Hoppe, Reiner, Hopper, John L., Howell, Anthony, Hunter, David J., Jakubowska, Anna, Janni, Wolfgang, John, Esther M., Jung, Audrey Y., Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M., Koutros, Stella, Kraft, Peter, Kristensen, Vessela N., Kubelka-Sabit, Katerina, Kurian, Allison W., Lacey, James V., Lambrechts, Diether, Marchand, Loic Le, Lindblom, Annika, Loibl, Sibylle, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, Mavroudis, Dimitrios, Menon, Usha, Mulligan, Anna Marie, Murphy, Rachel A., Nevanlinna, Heli, Nevelsteen, Ines, Newman, William G., Offit, Kenneth, Olshan, Andrew F., Olsson, Håkan, Orr, Nick, Patel, Alpa V., Peto, Julian, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rack, Brigitte, Radice, Paolo, Rees-Punia, Erika, Rennert, Gad, Rennert, Hedy S., Romero, Atocha, Saloustros, Emmanouil, Sandler, Dale P., Schmidt, Marjanka K, Schmutzler, Rita K., Schwentner, Lukas, Scott, Christopher, Shah, Mitul, Shu, Xiao Ou, Simard, Jacques, Southey, Melissa C., Stone, Jennifer, Surowy, Harald, Swerdlow, Anthony J., Tamimi, Rulla M., Tapper, William J., Taylor, Jack A., Terry, Mary Beth, Tollenaar, Rob A.E.M., Troester, Melissa A., Truong, Thérèse, Untch, Michael, Vachon, Celine M., Joseph, Vijai, Wappenschmidt, Barbara, Weinberg, Clarice R., Wolk, Alicja, Yannoukakos, Drakoulis, Zheng, Wei, Ziogas, Argyrios, Dunning, Alison M., Pharoah, Paul D.P., Easton, Douglas F., Milne, Roger L., and Lynch, Brigid M.
Abstract: Objectives Physical inactivity and sedentary behaviour are associated with higher breast cancer risk in observational studies, but ascribing causality is difficult. Mendelian randomisation (MR) assesses causality by simulating randomised trial groups using genotype. We assessed whether lifelong physical activity or sedentary time, assessed using genotype, may be causally associated with breast cancer risk overall, pre/post-menopause, and by case-groups defined by tumour characteristics. Methods We performed two-sample inverse-variance-weighted MR using individual-level Breast Cancer Association Consortium case-control data from 130 957 European-ancestry women (69 838 invasive cases), and published UK Biobank data (n=91 105-377 234). Genetic instruments were single nucleotide polymorphisms (SNPs) associated in UK Biobank with wrist-worn accelerometer-measured overall physical activity (n snps =5) or sedentary time (n snps =6), or accelerometer-measured (n snps =1) or self-reported (n snps =5) vigorous physical activity. Results Greater genetically-predicted overall activity was associated with lower breast cancer overall risk (OR=0.59; 95% confidence interval (CI) 0.42 to 0.83 per-standard deviation (SD;∼8 milligravities acceleration)) and for most case-groups. Genetically-predicted vigorous activity was associated with lower risk of pre/perimenopausal breast cancer (OR=0.62; 95% CI 0.45 to 0.87,≥3 vs. 0 self-reported days/week), with consistent estimates for most case-groups. Greater genetically-predicted sedentary time was associated with higher hormone-receptor-negative tumour risk (OR=1.77; 95% CI 1.07 to 2.92 per-SD (∼7% time spent sedentary)), with elevated estimates for most case-groups. Results were robust to sensitivity analyses examining pleiotropy (including weighted-median-MR, MR-Egger). Conclusion Our study provides strong evidence that greater overall physical activity, greater vigorous activity, and lower sedentary time a
Published: 2022

49. Progesterone Receptors in Normal and Neoplastic Breast

Author: Balleine, Rosemary L., Mote, Patricia A., Hunt, Sybille M. N., McGowan, Eileen M., Clarke, Christine L., Conn, P. Michael, editor, and Ethier, Stephen P., editor
Published: 2000
Full Text: View/download PDF

50. Progesterone receptor A predominance is a discriminator of benefit from endocrine therapy in the ATAC trial

Author: Mote, Patricia A., Gompel, Anne, Howe, Chris, Hilton, Heidi N., Sestak, Ivana, Cuzick, Jack, Dowsett, Mitch, Hugol, Danielle, Forgez, Patricia, Byth, Karen, Graham, J. Dinny, and Clarke, Christine L.
Published: 2015
Full Text: View/download PDF

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Region

Database

Publisher

620 results on '"Clarke, Christine L"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources