Author: "Nick Orr" - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Nick Orr"' showing total 173 results

Start Over Author "Nick Orr"

173 results on '"Nick Orr"'

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

Author: Xiaoliang Wang, Pooja Middha Kapoor, Paul L. Auer, Joe Dennis, Alison M. Dunning, Qin Wang, Michael Lush, Kyriaki Michailidou, Manjeet K. Bolla, Kristan J. Aronson, Rachel A. Murphy, Angela Brooks-Wilson, Derrick G. Lee, Emilie Cordina-Duverger, Pascal Guénel, Thérèse Truong, Claire Mulot, Lauren R. Teras, Alpa V. Patel, Laure Dossus, Rudolf Kaaks, Reiner Hoppe, Wing-Yee Lo, Thomas Brüning, Ute Hamann, Kamila Czene, Marike Gabrielson, Per Hall, Mikael Eriksson, Audrey Jung, Heiko Becher, Fergus J. Couch, Nicole L. Larson, Janet E. Olson, Kathryn J. Ruddy, Graham G. Giles, Robert J. MacInnis, Melissa C. Southey, Loic Le Marchand, Lynne R. Wilkens, Christopher A. Haiman, Håkan Olsson, Annelie Augustinsson, Ute Krüger, Philippe Wagner, Christopher Scott, Stacey J. Winham, Celine M. Vachon, Charles M. Perou, Andrew F. Olshan, Melissa A. Troester, David J. Hunter, Heather A. Eliassen, Rulla M. Tamimi, Kristen Brantley, Irene L. Andrulis, Jonine Figueroa, Stephen J. Chanock, Thomas U. Ahearn, Montserrat García-Closas, Gareth D. Evans, William G. Newman, Elke M. van Veen, Anthony Howell, Alicja Wolk, Niclas Håkansson, Hoda Anton-Culver, Argyrios Ziogas, Michael E. Jones, Nick Orr, Minouk J. Schoemaker, Anthony J. Swerdlow, Cari M. Kitahara, Martha Linet, Ross L. Prentice, Douglas F. Easton, Roger L. Milne, Peter Kraft, Jenny Chang-Claude, and Sara Lindström
Subjects: Medicine, Science
Abstract: Abstract Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values
Published: 2022
Full Text: View/download PDF

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

Author: Thomas U. Ahearn, Haoyu Zhang, Kyriaki Michailidou, Roger L. Milne, Manjeet K. Bolla, Joe Dennis, Alison M. Dunning, Michael Lush, Qin Wang, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Kristan J. Aronson, Paul L. Auer, Annelie Augustinsson, Adinda Baten, Heiko Becher, Sabine Behrens, Javier Benitez, Marina Bermisheva, Carl Blomqvist, Stig E. Bojesen, Bernardo Bonanni, Anne-Lise Børresen-Dale, Hiltrud Brauch, Hermann Brenner, Angela Brooks-Wilson, Thomas Brüning, Barbara Burwinkel, Saundra S. Buys, Federico Canzian, Jose E. Castelao, Jenny Chang-Claude, Stephen J. Chanock, Georgia Chenevix-Trench, Christine L. Clarke, NBCS Collaborators, J. Margriet Collée, Angela Cox, Simon S. Cross, Kamila Czene, Mary B. Daly, Peter Devilee, Thilo Dörk, Miriam Dwek, Diana M. Eccles, D. Gareth Evans, Peter A. Fasching, Jonine Figueroa, Giuseppe Floris, Manuela Gago-Dominguez, Susan M. Gapstur, José A. García-Sáenz, Mia M. Gaudet, Graham G. Giles, Mark S. Goldberg, Anna González-Neira, Grethe I. Grenaker Alnæs, Mervi Grip, Pascal Guénel, Christopher A. Haiman, Per Hall, Ute Hamann, Elaine F. Harkness, Bernadette A. M. Heemskerk-Gerritsen, Bernd Holleczek, Antoinette Hollestelle, Maartje J. Hooning, Robert N. Hoover, John L. Hopper, Anthony Howell, ABCTB Investigators, kConFab/AOCS Investigators, Milena Jakimovska, Anna Jakubowska, Esther M. John, Michael E. Jones, Audrey Jung, Rudolf Kaaks, Saila Kauppila, Renske Keeman, Elza Khusnutdinova, Cari M. Kitahara, Yon-Dschun Ko, Stella Koutros, Vessela N. Kristensen, Ute Krüger, Katerina Kubelka-Sabit, Allison W. Kurian, Kyriacos Kyriacou, Diether Lambrechts, Derrick G. Lee, Annika Lindblom, Martha Linet, Jolanta Lissowska, Ana Llaneza, Wing-Yee Lo, Robert J. MacInnis, Arto Mannermaa, Mehdi Manoochehri, Sara Margolin, Maria Elena Martinez, Catriona McLean, Alfons Meindl, Usha Menon, Heli Nevanlinna, William G. Newman, Jesse Nodora, Kenneth Offit, Håkan Olsson, Nick Orr, Tjoung-Won Park-Simon, Alpa V. Patel, Julian Peto, Guillermo Pita, Dijana Plaseska-Karanfilska, Ross Prentice, Kevin Punie, Katri Pylkäs, Paolo Radice, Gad Rennert, Atocha Romero, Thomas Rüdiger, Emmanouil Saloustros, Sarah Sampson, Dale P. Sandler, Elinor J. Sawyer, Rita K. Schmutzler, Minouk J. Schoemaker, Ben Schöttker, Mark E. Sherman, Xiao-Ou Shu, Snezhana Smichkoska, Melissa C. Southey, John J. Spinelli, Anthony J. Swerdlow, Rulla M. Tamimi, William J. Tapper, Jack A. Taylor, Lauren R. Teras, Mary Beth Terry, Diana Torres, Melissa A. Troester, Celine M. Vachon, Carolien H. M. van Deurzen, Elke M. van Veen, Philippe Wagner, Clarice R. Weinberg, Camilla Wendt, Jelle Wesseling, Robert Winqvist, Alicja Wolk, Xiaohong R. Yang, Wei Zheng, Fergus J. Couch, Jacques Simard, Peter Kraft, Douglas F. Easton, Paul D. P. Pharoah, Marjanka K. Schmidt, Montserrat García-Closas, and Nilanjan Chatterjee
Subjects: Breast cancer, Etiologic heterogeneity, Genetic predisposition, Common breast cancer susceptibility variants, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: 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
Published: 2022
Full Text: View/download PDF

3. 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: Anna Morra, Maria Escala-Garcia, Jonathan Beesley, Renske Keeman, Sander Canisius, Thomas U. Ahearn, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Paul L. Auer, Annelie Augustinsson, Laura E. Beane Freeman, Heiko Becher, Matthias W. Beckmann, Sabine Behrens, Stig E. Bojesen, Manjeet K. Bolla, Hermann Brenner, Thomas Brüning, Saundra S. Buys, Bette Caan, Daniele Campa, Federico Canzian, Jose E. Castelao, Jenny Chang-Claude, Stephen J. Chanock, Ting-Yuan David Cheng, Christine L. Clarke, NBCS Collaborators, Sarah V. Colonna, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Mary B. Daly, Joe Dennis, Thilo Dörk, Laure Dossus, Alison M. Dunning, Miriam Dwek, Diana M. Eccles, Arif B. Ekici, A. Heather Eliassen, Mikael Eriksson, D. Gareth Evans, Peter A. Fasching, Henrik Flyger, Lin Fritschi, Manuela Gago-Dominguez, José A. García-Sáenz, Graham G. Giles, Mervi Grip, Pascal Guénel, Melanie Gündert, Eric Hahnen, Christopher A. Haiman, Niclas Håkansson, Per Hall, Ute Hamann, Steven N. Hart, Jaana M. Hartikainen, Arndt Hartmann, Wei He, Maartje J. Hooning, Reiner Hoppe, John L. Hopper, Anthony Howell, David J. Hunter, ABCTB Investigators, kConFab Investigators, Agnes Jager, Anna Jakubowska, Wolfgang Janni, Esther M. John, Audrey Y. Jung, Rudolf Kaaks, Machteld Keupers, Cari M. Kitahara, Stella Koutros, Peter Kraft, Vessela N. Kristensen, Allison W. Kurian, James V. Lacey, Diether Lambrechts, Loic Le Marchand, Annika Lindblom, Martha Linet, Robert N. Luben, Jan Lubiński, Michael Lush, Arto Mannermaa, Mehdi Manoochehri, Sara Margolin, John W. M. Martens, Maria Elena Martinez, Dimitrios Mavroudis, Kyriaki Michailidou, Roger L. Milne, Anna Marie Mulligan, Taru A. Muranen, Heli Nevanlinna, William G. Newman, Sune F. Nielsen, Børge G. Nordestgaard, Andrew F. Olshan, Håkan Olsson, Nick Orr, Tjoung-Won Park-Simon, Alpa V. Patel, Bernard Peissel, Paolo Peterlongo, Dijana Plaseska-Karanfilska, Karolina Prajzendanc, Ross Prentice, Nadege Presneau, Brigitte Rack, Gad Rennert, Hedy S. Rennert, Valerie Rhenius, Atocha Romero, Rebecca Roylance, Matthias Ruebner, Emmanouil Saloustros, Elinor J. Sawyer, Rita K. Schmutzler, Andreas Schneeweiss, Christopher Scott, Mitul Shah, Snezhana Smichkoska, Melissa C. Southey, Jennifer Stone, Harald Surowy, Anthony J. Swerdlow, Rulla M. Tamimi, William J. Tapper, Lauren R. Teras, Mary Beth Terry, Rob A. E. M. Tollenaar, Ian Tomlinson, Melissa A. Troester, Thérèse Truong, Celine M. Vachon, Qin Wang, Amber N. Hurson, Robert Winqvist, Alicja Wolk, Argyrios Ziogas, Hiltrud Brauch, Montserrat García-Closas, Paul D. P. Pharoah, Douglas F. Easton, Georgia Chenevix-Trench, and Marjanka K. Schmidt
Subjects: Common germline genetic variants, Breast cancer-specific survival, Patient subgroups, Tumor biology, Systemic treatment, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Abstract Background Given 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. Methods We 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
Full Text: View/download PDF

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

Author: Maria Escala-Garcia, Jean Abraham, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Alan Ashworth, Paul L. Auer, Päivi Auvinen, Matthias W. Beckmann, Jonathan Beesley, Sabine Behrens, Javier Benitez, Marina Bermisheva, Carl Blomqvist, William Blot, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Anne-Lise Børresen-Dale, Hiltrud Brauch, Hermann Brenner, Sara Y. Brucker, Barbara Burwinkel, Carlos Caldas, Federico Canzian, Jenny Chang-Claude, Stephen J. Chanock, Suet-Feung Chin, Christine L. Clarke, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Mary B. Daly, Joe Dennis, Peter Devilee, Janet A. Dunn, Alison M. Dunning, Miriam Dwek, Helena M. Earl, Diana M. Eccles, A. Heather Eliassen, Carolina Ellberg, D. Gareth Evans, Peter A. Fasching, Jonine Figueroa, Henrik Flyger, Manuela Gago-Dominguez, Susan M. Gapstur, Montserrat García-Closas, José A. García-Sáenz, Mia M. Gaudet, Angela George, Graham G. Giles, David E. Goldgar, Anna González-Neira, Mervi Grip, Pascal Guénel, Qi Guo, Christopher A. Haiman, Niclas Håkansson, Ute Hamann, Patricia A. Harrington, Louise Hiller, Maartje J. Hooning, John L. Hopper, Anthony Howell, Chiun-Sheng Huang, Guanmengqian Huang, David J. Hunter, Anna Jakubowska, Esther M. John, Rudolf Kaaks, Pooja Middha Kapoor, Renske Keeman, Cari M. Kitahara, Linetta B. Koppert, Peter Kraft, Vessela N. Kristensen, Diether Lambrechts, Loic Le Marchand, Flavio Lejbkowicz, Annika Lindblom, Jan Lubiński, Arto Mannermaa, Mehdi Manoochehri, Siranoush Manoukian, Sara Margolin, Maria Elena Martinez, Tabea Maurer, Dimitrios Mavroudis, Alfons Meindl, Roger L. Milne, Anna Marie Mulligan, Susan L. Neuhausen, Heli Nevanlinna, William G. Newman, Andrew F. Olshan, Janet E. Olson, Håkan Olsson, Nick Orr, Paolo Peterlongo, Christos Petridis, Ross L. Prentice, Nadege Presneau, Kevin Punie, Dhanya Ramachandran, Gad Rennert, Atocha Romero, Mythily Sachchithananthan, Emmanouil Saloustros, Elinor J. Sawyer, Rita K. Schmutzler, Lukas Schwentner, Christopher Scott, Jacques Simard, Christof Sohn, Melissa C. Southey, Anthony J. Swerdlow, Rulla M. Tamimi, William J. Tapper, Manuel R. Teixeira, Mary Beth Terry, Heather Thorne, Rob A. E. M. Tollenaar, Ian Tomlinson, Melissa A. Troester, Thérèse Truong, Clare Turnbull, Celine M. Vachon, Lizet E. van der Kolk, Qin Wang, Robert Winqvist, Alicja Wolk, Xiaohong R. Yang, Argyrios Ziogas, Paul D. P. Pharoah, Per Hall, Lodewyk F. A. Wessels, Georgia Chenevix-Trench, Gary D. Bader, Thilo Dörk, Douglas F. Easton, Sander Canisius, and Marjanka K. Schmidt
Subjects: Science
Abstract: In breast cancer the contribution of different genetic variants to disease heritability is complex and not fully understood. Here, the authors present a network-based analysis in 84,567 patients studying ~7.3 million variants, identifying gene modules associated with breast cancer survival.
Published: 2020
Full Text: View/download PDF

5. Capture Hi-C identifies putative target genes at 33 breast cancer risk loci

Author: Joseph S. Baxter, Olivia C. Leavy, Nicola H. Dryden, Sarah Maguire, Nichola Johnson, Vita Fedele, Nikiana Simigdala, Lesley-Ann Martin, Simon Andrews, Steven W. Wingett, Ioannis Assiotis, Kerry Fenwick, Ritika Chauhan, Alistair G. Rust, Nick Orr, Frank Dudbridge, Syed Haider, and Olivia Fletcher
Subjects: Science
Abstract: Risk loci for breast cancer have been identified by genome-wide association studies. Here, the authors use Capture Hi-C to identify 110 putative target genes at 33 loci and assessed associations of gene expression, SNP genotype, and survival, providing evidence of mechanisms that may influence the prognosis and risk of breast cancer.
Published: 2018
Full Text: View/download PDF

6. Author Correction: Genome-wide association study of classical Hodgkin lymphoma identifies key regulators of disease susceptibility

Author: Amit Sud, Hauke Thomsen, Philip J. Law, Asta Försti, Miguel Inacio da Silva Filho, Amy Holroyd, Peter Broderick, Giulia Orlando, Oleg Lenive, Lauren Wright, Rosie Cooke, Douglas Easton, Paul Pharoah, Alison Dunning, Julian Peto, Federico Canzian, Rosalind Eeles, Zsofia Kote-Jarai, Kenneth Muir, Nora Pashayan, The PRACTICAL consortium, Per Hoffmann, Markus M. Nöthen, Karl-Heinz Jöckel, Elke Pogge von Strandmann, Tracy Lightfoot, Eleanor Kane, Eve Roman, Annette Lake, Dorothy Montgomery, Ruth F. Jarrett, Anthony J. Swerdlow, Andreas Engert, Nick Orr, Kari Hemminki, and Richard S. Houlston
Subjects: Science
Abstract: The original version of this Article contained an error in the spelling of a member of the PRACTICAL Consortium, Manuela Gago-Dominguez, which was incorrectly given as Manuela Gago Dominguez. This has now been corrected in both the PDF and HTML versions of the Article.
Published: 2019
Full Text: View/download PDF

7. Genome-wide association study of classical Hodgkin lymphoma identifies key regulators of disease susceptibility

Author: Amit Sud, Hauke Thomsen, Philip J. Law, Asta Försti, Miguel Inacio da Silva Filho, Amy Holroyd, Peter Broderick, Giulia Orlando, Oleg Lenive, Lauren Wright, Rosie Cooke, Douglas Easton, Paul Pharoah, Alison Dunning, Julian Peto, Federico Canzian, Rosalind Eeles, ZSofia Kote-Jarai, Kenneth Muir, Nora Pashayan, The PRACTICAL consortium, Per Hoffmann, Markus M. Nöthen, Karl-Heinz Jöckel, Elke Pogge von Strandmann, Tracy Lightfoot, Eleanor Kane, Eve Roman, Annette Lake, Dorothy Montgomery, Ruth F. Jarrett, Anthony J. Swerdlow, Andreas Engert, Nick Orr, Kari Hemminki, and Richard S. Houlston
Subjects: Science
Abstract: Classical Hodgkin lymphoma is a cancer that originates in lymph nodes. Little is known about its genetic susceptibility. Here, the authors combined existing and new genome-wide association studies to identify risk loci for classical Hodgkin lymphoma at 6q22.33, and nodular sclerosis Hodgkin lymphoma at 3q28, 6q23.3, 10p14, 13q34, 16p13.13.
Published: 2017
Full Text: View/download PDF

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

Author: Kate Lawrenson, Siddhartha Kar, Karen McCue, Karoline Kuchenbaeker, Kyriaki Michailidou, Jonathan Tyrer, Jonathan Beesley, Susan J. Ramus, Qiyuan Li, Melissa K. Delgado, Janet M. Lee, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Banu K. Arun, Brita Arver, Elisa V. Bandera, Monica Barile, Rosa B. Barkardottir, Daniel Barrowdale, Matthias W. Beckmann, Javier Benitez, Andrew Berchuck, Maria Bisogna, Line Bjorge, Carl Blomqvist, William Blot, Natalia Bogdanova, Anders Bojesen, Stig E. Bojesen, Manjeet K. Bolla, Bernardo Bonanni, Anne-Lise Børresen-Dale, Hiltrud Brauch, Paul Brennan, Hermann Brenner, Fiona Bruinsma, Joan Brunet, Shaik Ahmad Buhari, Barbara Burwinkel, Ralf Butzow, Saundra S. Buys, Qiuyin Cai, Trinidad Caldes, Ian Campbell, Rikki Canniotto, Jenny Chang-Claude, Jocelyne Chiquette, Ji-Yeob Choi, Kathleen B. M. Claes, GEMO Study Collaborators, Linda S. Cook, Angela Cox, Daniel W. Cramer, Simon S. Cross, Cezary Cybulski, Kamila Czene, Mary B. Daly, Francesca Damiola, Agnieszka Dansonka-Mieszkowska, Hatef Darabi, Joe Dennis, Peter Devilee, Orland Diez, Jennifer A. Doherty, Susan M. Domchek, Cecilia M. Dorfling, Thilo Dörk, Martine Dumont, Hans Ehrencrona, Bent Ejlertsen, Steve Ellis, EMBRACE, Christoph Engel, Eunjung Lee, D. Gareth Evans, Peter A. Fasching, Lidia Feliubadalo, Jonine Figueroa, Dieter Flesch-Janys, Olivia Fletcher, Henrik Flyger, Lenka Foretova, Florentia Fostira, William D. Foulkes, Brooke L. Fridley, Eitan Friedman, Debra Frost, Gaetana Gambino, Patricia A. Ganz, Judy Garber, Montserrat García-Closas, Aleksandra Gentry-Maharaj, Maya Ghoussaini, Graham G. Giles, Rosalind Glasspool, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Ellen L. Goode, Marc T. Goodman, Mark H. Greene, Jacek Gronwald, Pascal Guénel, Christopher A. Haiman, Per Hall, Emily Hallberg, Ute Hamann, Thomas V. O. Hansen, Patricia A. Harrington, Mikael Hartman, Norhashimah Hassan, Sue Healey, The Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON), Florian Heitz, Josef Herzog, Estrid Høgdall, Claus K. Høgdall, Frans B. L. Hogervorst, Antoinette Hollestelle, John L. Hopper, Peter J. Hulick, Tomasz Huzarski, Evgeny N. Imyanitov, KConFab Investigators, Australian Ovarian Cancer Study Group, Claudine Isaacs, Hidemi Ito, Anna Jakubowska, Ramunas Janavicius, Allan Jensen, Esther M. John, Nichola Johnson, Maria Kabisch, Daehee Kang, Miroslav Kapuscinski, Beth Y. Karlan, Sofia Khan, Lambertus A. Kiemeney, Susanne Kruger Kjaer, Julia A. Knight, Irene Konstantopoulou, Veli-Matti Kosma, Vessela Kristensen, Jolanta Kupryjanczyk, Ava Kwong, Miguel de la Hoya, Yael Laitman, Diether Lambrechts, Nhu Le, Kim De Leeneer, Jenny Lester, Douglas A. Levine, Jingmei Li, Annika Lindblom, Jirong Long, Artitaya Lophatananon, Jennifer T. Loud, Karen Lu, Jan Lubinski, Arto Mannermaa, Siranoush Manoukian, Loic Le Marchand, Sara Margolin, Frederik Marme, Leon F. A. G. Massuger, Keitaro Matsuo, Sylvie Mazoyer, Lesley McGuffog, Catriona McLean, Iain McNeish, Alfons Meindl, Usha Menon, Arjen R. Mensenkamp, Roger L. Milne, Marco Montagna, Kirsten B. Moysich, Kenneth Muir, Anna Marie Mulligan, Katherine L. Nathanson, Roberta B. Ness, Susan L. Neuhausen, Heli Nevanlinna, Silje Nord, Robert L. Nussbaum, Kunle Odunsi, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Janet E. Olson, Curtis Olswold, David O’Malley, Irene Orlow, Nick Orr, Ana Osorio, Sue Kyung Park, Celeste L. Pearce, Tanja Pejovic, Paolo Peterlongo, Georg Pfeiler, Catherine M. Phelan, Elizabeth M. Poole, Katri Pylkäs, Paolo Radice, Johanna Rantala, Muhammad Usman Rashid, Gad Rennert, Valerie Rhenius, Kerstin Rhiem, Harvey A. Risch, Gus Rodriguez, Mary Anne Rossing, Anja Rudolph, Helga B. Salvesen, Suleeporn Sangrajrang, Elinor J. Sawyer, Joellen M. Schildkraut, Marjanka K. Schmidt, Rita K. Schmutzler, Thomas A. Sellers, Caroline Seynaeve, Mitul Shah, Chen-Yang Shen, Xiao-Ou Shu, Weiva Sieh, Christian F. Singer, Olga M. Sinilnikova, Susan Slager, Honglin Song, Penny Soucy, Melissa C. Southey, Marie Stenmark-Askmalm, Dominique Stoppa-Lyonnet, Christian Sutter, Anthony Swerdlow, Sandrine Tchatchou, Manuel R. Teixeira, Soo H. Teo, Kathryn L. Terry, Mary Beth Terry, Mads Thomassen, Maria Grazia Tibiletti, Laima Tihomirova, Silvia Tognazzo, Amanda Ewart Toland, Ian Tomlinson, Diana Torres, Thérèse Truong, Chiu-chen Tseng, Nadine Tung, Shelley S. Tworoger, Celine Vachon, Ans M. W. van den Ouweland, Helena C. van Doorn, Elizabeth J. van Rensburg, Laura J. Van't Veer, Adriaan Vanderstichele, Ignace Vergote, Joseph Vijai, Qin Wang, Shan Wang-Gohrke, Jeffrey N. Weitzel, Nicolas Wentzensen, Alice S. Whittemore, Hans Wildiers, Robert Winqvist, Anna H. Wu, Drakoulis Yannoukakos, Sook-Yee Yoon, Jyh-Cherng Yu, Wei Zheng, Ying Zheng, Kum Kum Khanna, Jacques Simard, Alvaro N. Monteiro, Juliet D. French, Fergus J. Couch, Matthew L. Freedman, Douglas F. Easton, Alison M. Dunning, Paul D. Pharoah, Stacey L. Edwards, Georgia Chenevix-Trench, Antonis C. Antoniou, and Simon A. Gayther
Subjects: Science
Abstract: A region on chromosome 19p13 is associated with the risk of developing ovarian and breast cancer. Here, the authors genotyped SNPs in this region in thousands of breast and ovarian cancer patients and identified SNPs associated with three genes, which were analysed with functional studies.
Published: 2016
Full Text: View/download PDF

9. RAD51B in Familial Breast Cancer.

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

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

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

11. MicroRNA related polymorphisms and breast cancer risk.

Author: Sofia Khan, Dario Greco, Kyriaki Michailidou, Roger L Milne, Taru A Muranen, Tuomas Heikkinen, Kirsimari Aaltonen, Joe Dennis, Manjeet K Bolla, Jianjun Liu, Per Hall, Astrid Irwanto, Keith Humphreys, Jingmei Li, Kamila Czene, Jenny Chang-Claude, Rebecca Hein, Anja Rudolph, Petra Seibold, Dieter Flesch-Janys, Olivia Fletcher, Julian Peto, Isabel dos Santos Silva, Nichola Johnson, Lorna Gibson, Zoe Aitken, John L Hopper, Helen Tsimiklis, Minh Bui, Enes Makalic, Daniel F Schmidt, Melissa C Southey, Carmel Apicella, Jennifer Stone, Quinten Waisfisz, Hanne Meijers-Heijboer, Muriel A Adank, Rob B van der Luijt, Alfons Meindl, Rita K Schmutzler, Bertram Müller-Myhsok, Peter Lichtner, Clare Turnbull, Nazneen Rahman, Stephen J Chanock, David J Hunter, Angela Cox, Simon S Cross, Malcolm W R Reed, Marjanka K Schmidt, Annegien Broeks, Laura J Van't Veer, Frans B Hogervorst, Peter A Fasching, Michael G Schrauder, Arif B Ekici, Matthias W Beckmann, Stig E Bojesen, Børge G Nordestgaard, Sune F Nielsen, Henrik Flyger, Javier Benitez, Pilar M Zamora, Jose I A Perez, Christopher A Haiman, Brian E Henderson, Fredrick Schumacher, Loic Le Marchand, Paul D P Pharoah, Alison M Dunning, Mitul Shah, Robert Luben, Judith Brown, Fergus J Couch, Xianshu Wang, Celine Vachon, Janet E Olson, Diether Lambrechts, Matthieu Moisse, Robert Paridaens, Marie-Rose Christiaens, Pascal Guénel, Thérèse Truong, Pierre Laurent-Puig, Claire Mulot, Frederick Marme, Barbara Burwinkel, Andreas Schneeweiss, Christof Sohn, Elinor J Sawyer, Ian Tomlinson, Michael J Kerin, Nicola Miller, Irene L Andrulis, Julia A Knight, Sandrine Tchatchou, Anna Marie Mulligan, Thilo Dörk, Natalia V Bogdanova, Natalia N Antonenkova, Hoda Anton-Culver, Hatef Darabi, Mikael Eriksson, Montserrat Garcia-Closas, Jonine Figueroa, Jolanta Lissowska, Louise Brinton, Peter Devilee, Robert A E M Tollenaar, Caroline Seynaeve, Christi J van Asperen, Vessela N Kristensen, kConFab Investigators, Australian Ovarian Cancer Study Group, Susan Slager, Amanda E Toland, Christine B Ambrosone, Drakoulis Yannoukakos, Annika Lindblom, Sara Margolin, Paolo Radice, Paolo Peterlongo, Monica Barile, Paolo Mariani, Maartje J Hooning, John W M Martens, J Margriet Collée, Agnes Jager, Anna Jakubowska, Jan Lubinski, Katarzyna Jaworska-Bieniek, Katarzyna Durda, Graham G Giles, Catriona McLean, Hiltrud Brauch, Thomas Brüning, Yon-Dschun Ko, GENICA Network, Hermann Brenner, Aida Karina Dieffenbach, Volker Arndt, Christa Stegmaier, Anthony Swerdlow, Alan Ashworth, Nick Orr, Michael Jones, Jacques Simard, Mark S Goldberg, France Labrèche, Martine Dumont, Robert Winqvist, Katri Pylkäs, Arja Jukkola-Vuorinen, Mervi Grip, Vesa Kataja, Veli-Matti Kosma, Jaana M Hartikainen, Arto Mannermaa, Ute Hamann, Georgia Chenevix-Trench, Carl Blomqvist, Kristiina Aittomäki, Douglas F Easton, and Heli Nevanlinna
Subjects: Medicine, Science
Abstract: Genetic variations, such as single nucleotide polymorphisms (SNPs) in microRNAs (miRNA) or in the miRNA binding sites may affect the miRNA dependent gene expression regulation, which has been implicated in various cancers, including breast cancer, and may alter individual susceptibility to cancer. We investigated associations between miRNA related SNPs and breast cancer risk. First we evaluated 2,196 SNPs in a case-control study combining nine genome wide association studies (GWAS). Second, we further investigated 42 SNPs with suggestive evidence for association using 41,785 cases and 41,880 controls from 41 studies included in the Breast Cancer Association Consortium (BCAC). Combining the GWAS and BCAC data within a meta-analysis, we estimated main effects on breast cancer risk as well as risks for estrogen receptor (ER) and age defined subgroups. Five miRNA binding site SNPs associated significantly with breast cancer risk: rs1045494 (odds ratio (OR) 0.92; 95% confidence interval (CI): 0.88-0.96), rs1052532 (OR 0.97; 95% CI: 0.95-0.99), rs10719 (OR 0.97; 95% CI: 0.94-0.99), rs4687554 (OR 0.97; 95% CI: 0.95-0.99, and rs3134615 (OR 1.03; 95% CI: 1.01-1.05) located in the 3' UTR of CASP8, HDDC3, DROSHA, MUSTN1, and MYCL1, respectively. DROSHA belongs to miRNA machinery genes and has a central role in initial miRNA processing. The remaining genes are involved in different molecular functions, including apoptosis and gene expression regulation. Further studies are warranted to elucidate whether the miRNA binding site SNPs are the causative variants for the observed risk effects.
Published: 2014
Full Text: View/download PDF

12. Identification of a BRCA2-specific modifier locus at 6p24 related to breast cancer risk.

Author: Mia M Gaudet, Karoline B Kuchenbaecker, Joseph Vijai, Robert J Klein, Tomas Kirchhoff, Lesley McGuffog, Daniel Barrowdale, Alison M Dunning, Andrew Lee, Joe Dennis, Sue Healey, Ed Dicks, Penny Soucy, Olga M Sinilnikova, Vernon S Pankratz, Xianshu Wang, Ronald C Eldridge, Daniel C Tessier, Daniel Vincent, Francois Bacot, Frans B L Hogervorst, Susan Peock, Dominique Stoppa-Lyonnet, KConFab Investigators, Paolo Peterlongo, Rita K Schmutzler, Katherine L Nathanson, Marion Piedmonte, Christian F Singer, Mads Thomassen, Ontario Cancer Genetics Network, Thomas v O Hansen, Susan L Neuhausen, Ignacio Blanco, Mark H Greene, Judith Garber, Jeffrey N Weitzel, Irene L Andrulis, David E Goldgar, Emma D'Andrea, Trinidad Caldes, Heli Nevanlinna, Ana Osorio, Elizabeth J van Rensburg, Adalgeir Arason, Gad Rennert, Ans M W van den Ouweland, Annemarie H van der Hout, Carolien M Kets, Cora M Aalfs, Juul T Wijnen, Margreet G E M Ausems, HEBON, EMBRACE, Debra Frost, Steve Ellis, Elena Fineberg, Radka Platte, D Gareth Evans, Chris Jacobs, Julian Adlard, Marc Tischkowitz, Mary E Porteous, Francesca Damiola, GEMO Study Collaborators, Lisa Golmard, Laure Barjhoux, Michel Longy, Muriel Belotti, Sandra Fert Ferrer, Sylvie Mazoyer, Amanda B Spurdle, Siranoush Manoukian, Monica Barile, Maurizio Genuardi, Norbert Arnold, Alfons Meindl, Christian Sutter, Barbara Wappenschmidt, Susan M Domchek, Georg Pfeiler, Eitan Friedman, Uffe Birk Jensen, Mark Robson, Sohela Shah, Conxi Lazaro, Phuong L Mai, Javier Benitez, Melissa C Southey, Marjanka K Schmidt, Peter A Fasching, Julian Peto, Manjeet K Humphreys, Qin Wang, Kyriaki Michailidou, Elinor J Sawyer, Barbara Burwinkel, Pascal Guénel, Stig E Bojesen, Roger L Milne, Hermann Brenner, Magdalena Lochmann, GENICA Network, Kristiina Aittomäki, Thilo Dörk, Sara Margolin, Arto Mannermaa, Diether Lambrechts, Jenny Chang-Claude, Paolo Radice, Graham G Giles, Christopher A Haiman, Robert Winqvist, Peter Devillee, Montserrat García-Closas, Nils Schoof, Maartje J Hooning, Angela Cox, Paul D P Pharoah, Anna Jakubowska, Nick Orr, Anna González-Neira, Guillermo Pita, M Rosario Alonso, Per Hall, Fergus J Couch, Jacques Simard, David Altshuler, Douglas F Easton, Georgia Chenevix-Trench, Antonis C Antoniou, and Kenneth Offit
Subjects: Genetics, QH426-470
Abstract: Common genetic variants contribute to the observed variation in breast cancer risk for BRCA2 mutation carriers; those known to date have all been found through population-based genome-wide association studies (GWAS). To comprehensively identify breast cancer risk modifying loci for BRCA2 mutation carriers, we conducted a deep replication of an ongoing GWAS discovery study. Using the ranked P-values of the breast cancer associations with the imputed genotype of 1.4 M SNPs, 19,029 SNPs were selected and designed for inclusion on a custom Illumina array that included a total of 211,155 SNPs as part of a multi-consortial project. DNA samples from 3,881 breast cancer affected and 4,330 unaffected BRCA2 mutation carriers from 47 studies belonging to the Consortium of Investigators of Modifiers of BRCA1/2 were genotyped and available for analysis. We replicated previously reported breast cancer susceptibility alleles in these BRCA2 mutation carriers and for several regions (including FGFR2, MAP3K1, CDKN2A/B, and PTHLH) identified SNPs that have stronger evidence of association than those previously published. We also identified a novel susceptibility allele at 6p24 that was inversely associated with risk in BRCA2 mutation carriers (rs9348512; per allele HR = 0.85, 95% CI 0.80-0.90, P = 3.9 × 10(-8)). This SNP was not associated with breast cancer risk either in the general population or in BRCA1 mutation carriers. The locus lies within a region containing TFAP2A, which encodes a transcriptional activation protein that interacts with several tumor suppressor genes. This report identifies the first breast cancer risk locus specific to a BRCA2 mutation background. This comprehensive update of novel and previously reported breast cancer susceptibility loci contributes to the establishment of a panel of SNPs that modify breast cancer risk in BRCA2 mutation carriers. This panel may have clinical utility for women with BRCA2 mutations weighing options for medical prevention of breast cancer.
Published: 2013
Full Text: View/download PDF

13. Comparison of 6q25 breast cancer hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC).

Author: Rebecca Hein, Melanie Maranian, John L Hopper, Miroslaw K Kapuscinski, Melissa C Southey, Daniel J Park, Marjanka K Schmidt, Annegien Broeks, Frans B L Hogervorst, H Bas Bueno-de-Mesquita, Kenneth R Muir, Artitaya Lophatananon, Suthee Rattanamongkongul, Puttisak Puttawibul, Peter A Fasching, Alexander Hein, Arif B Ekici, Matthias W Beckmann, Olivia Fletcher, Nichola Johnson, Isabel dos Santos Silva, Julian Peto, Elinor Sawyer, Ian Tomlinson, Michael Kerin, Nicola Miller, Frederick Marmee, Andreas Schneeweiss, Christof Sohn, Barbara Burwinkel, Pascal Guénel, Emilie Cordina-Duverger, Florence Menegaux, Thérèse Truong, Stig E Bojesen, Børge G Nordestgaard, Henrik Flyger, Roger L Milne, Jose Ignacio Arias Perez, M Pilar Zamora, Javier Benítez, Hoda Anton-Culver, Argyrios Ziogas, Leslie Bernstein, Christina A Clarke, Hermann Brenner, Heiko Müller, Volker Arndt, Christa Stegmaier, Nazneen Rahman, Sheila Seal, Clare Turnbull, Anthony Renwick, Alfons Meindl, Sarah Schott, Claus R Bartram, Rita K Schmutzler, Hiltrud Brauch, Ute Hamann, Yon-Dschun Ko, GENICA Network, Shan Wang-Gohrke, Thilo Dörk, Peter Schürmann, Johann H Karstens, Peter Hillemanns, Heli Nevanlinna, Tuomas Heikkinen, Kristiina Aittomäki, Carl Blomqvist, Natalia V Bogdanova, Iosif V Zalutsky, Natalia N Antonenkova, Marina Bermisheva, Darya Prokovieva, Albina Farahtdinova, Elza Khusnutdinova, Annika Lindblom, Sara Margolin, Arto Mannermaa, Vesa Kataja, Veli-Matti Kosma, Jaana Hartikainen, Xiaoqing Chen, Jonathan Beesley, Kconfab Investigators, AOCS Group, Diether Lambrechts, Hui Zhao, Patrick Neven, Hans Wildiers, Stefan Nickels, Dieter Flesch-Janys, Paolo Radice, Paolo Peterlongo, Siranoush Manoukian, Monica Barile, Fergus J Couch, Janet E Olson, Xianshu Wang, Zachary Fredericksen, Graham G Giles, Laura Baglietto, Catriona A McLean, Gianluca Severi, Kenneth Offit, Mark Robson, Mia M Gaudet, Joseph Vijai, Grethe Grenaker Alnæs, Vessela Kristensen, Anne-Lise Børresen-Dale, Esther M John, Alexander Miron, Robert Winqvist, Katri Pylkäs, Arja Jukkola-Vuorinen, Mervi Grip, Irene L Andrulis, Julia A Knight, Gord Glendon, Anna Marie Mulligan, Jonine D Figueroa, Montserrat García-Closas, Jolanta Lissowska, Mark E Sherman, Maartje Hooning, John W M Martens, Caroline Seynaeve, Margriet Collée, Per Hall, Keith Humpreys, Kamila Czene, Jianjun Liu, Angela Cox, Ian W Brock, Simon S Cross, Malcolm W R Reed, Shahana Ahmed, Maya Ghoussaini, Paul D P Pharoah, Daehee Kang, Keun-Young Yoo, Dong-Young Noh, Anna Jakubowska, Katarzyna Jaworska, Katarzyna Durda, Elżbieta Złowocka, Suleeporn Sangrajrang, Valerie Gaborieau, Paul Brennan, James McKay, Chen-Yang Shen, Jyh-Cherng Yu, Huan-Ming Hsu, Ming-Feng Hou, Nick Orr, Minouk Schoemaker, Alan Ashworth, Anthony Swerdlow, Amy Trentham-Dietz, Polly A Newcomb, Linda Titus, Kathleen M Egan, Georgia Chenevix-Trench, Antonis C Antoniou, Manjeet K Humphreys, Jonathan Morrison, Jenny Chang-Claude, Douglas F Easton, and Alison M Dunning
Subjects: Medicine, Science
Abstract: The 6q25.1 locus was first identified via a genome-wide association study (GWAS) in Chinese women and marked by single nucleotide polymorphism (SNP) rs2046210, approximately 180 Kb upstream of ESR1. There have been conflicting reports about the association of this locus with breast cancer in Europeans, and a GWAS in Europeans identified a different SNP, tagged here by rs12662670. We examined the associations of both SNPs in up to 61,689 cases and 58,822 controls from forty-four studies collaborating in the Breast Cancer Association Consortium, of which four studies were of Asian and 39 of European descent. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI). Case-only analyses were used to compare SNP effects in Estrogen Receptor positive (ER+) versus negative (ER-) tumours. Models including both SNPs were fitted to investigate whether the SNP effects were independent. Both SNPs are significantly associated with breast cancer risk in both ethnic groups. Per-allele ORs are higher in Asian than in European studies [rs2046210: OR (A/G) = 1.36 (95% CI 1.26-1.48), p = 7.6 × 10(-14) in Asians and 1.09 (95% CI 1.07-1.11), p = 6.8 × 10(-18) in Europeans. rs12662670: OR (G/T) = 1.29 (95% CI 1.19-1.41), p = 1.2 × 10(-9) in Asians and 1.12 (95% CI 1.08-1.17), p = 3.8 × 10(-9) in Europeans]. SNP rs2046210 is associated with a significantly greater risk of ER- than ER+ tumours in Europeans [OR (ER-) = 1.20 (95% CI 1.15-1.25), p = 1.8 × 10(-17) versus OR (ER+) = 1.07 (95% CI 1.04-1.1), p = 1.3 × 10(-7), p(heterogeneity) = 5.1 × 10(-6)]. In these Asian studies, by contrast, there is no clear evidence of a differential association by tumour receptor status. Each SNP is associated with risk after adjustment for the other SNP. These results suggest the presence of two variants at 6q25.1 each independently associated with breast cancer risk in Asians and in Europeans. Of these two, the one tagged by rs2046210 is associated with a greater risk of ER- tumours.
Published: 2012
Full Text: View/download PDF

14. Correction: Comparison of 6q25 Breast Cancer Hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC).

Author: Rebecca Hein, Melanie Maranian, John L. Hopper, Miroslaw K. Kapuscinski, Melissa C. Southey, Daniel J. Park, Marjanka K. Schmidt, Annegien Broeks, Frans B. L. Hogervorst, H. Bas Bueno-de-Mesquit, Kenneth R. Muir, Artitaya Lophatananon, Suthee Rattanamongkongul, Puttisak Puttawibul, Peter A. Fasching, Alexander Hein, Arif B. Ekici, Matthias W. Beckmann, Olivia Fletcher, Nichola Johnson, Isabel dos Santos Silva, Julian Peto, Elinor Sawyer, Ian Tomlinson, Michael Kerin, Nicola Miller, Frederick Marmee, Andreas Schneeweiss, Christof Sohn, Barbara Burwinkel, Pascal Guénel, Emilie Cordina-Duverger, Florence Menegaux, Thérèse Truong, Stig E. Bojesen, Børge G. Nordestgaard, Henrik Flyger, Roger L. Milne, Jose Ignacio Arias Perez, M. Pilar Zamora, Javier Benítez, Hoda Anton-Culver, Argyrios Ziogas, Leslie Bernstein, Christina A. Clarke, Hermann Brenner, Heiko Müller, Volker Arndt, Christa Stegmaier, Nazneen Rahman, Sheila Seal, Clare Turnbull, Anthony Renwick, Alfons Meindl, Sarah Schott, Claus R. Bartram, Rita K. Schmutzler, Hiltrud Brauch, Ute Hamann, Yon-Dschun Ko, Shan Wang-Gohrke, Thilo Dörk, Peter Schürmann, Johann H. Karstens, Peter Hillemanns, Heli Nevanlinna, Tuomas Heikkinen, Kristiina Aittomäki, Carl Blomqvist, Natalia V. Bogdanova, Iosif V. Zalutsky, Natalia N. Antonenkova, Marina Bermisheva, Darya Prokovieva, Albina Farahtdinova, Elza Khusnutdinova, Annika Lindblom, Sara Margolin, Arto Mannermaa, Vesa Kataja, Veli-Matti Kosma, Jaana Hartikainen, Xiaoqing Chen, Jonathan Beesley, kConFab Investigators, Diether Lambrechts, Hui Zhao, Patrick Neven, Hans Wildiers, Stefan Nickels, Dieter Flesch-Janys, Paolo Radice, Paolo Peterlongo, Siranoush Manoukian, Monica Barile, Fergus J. Couch, Janet E. Olson, Xianshu Wang, Zachary Fredericksen, Graham G. Giles, Laura Baglietto, Catriona A. McLean, Gianluca Severi, Kenneth Offit, Mark Robson, Mia M. Gaudet, Joseph Vijai, Grethe Grenaker Alnæs, Vessela Kristensen, Anne-Lise Børresen-Dale, Esther M. John, Alexander Miron, Robert Winqvist, Katri Pylkäs, Arja Jukkola-Vuorinen, Mervi Grip, Irene L. Andrulis, Julia A. Knight, Gord Glendon, Anna Marie Mulligan, Jonine D. Figueroa, Montserrat García-Closas, Jolanta Lissowska, Mark E. Sherman, Maartje Hooning, John W. M. Martens, Caroline Seynaeve, Margriet Collée, Per Hall, Keith Humpreys, Kamila Czene, Jianjun Liu, Angela Cox, Ian W. Brock, Simon S. Cross, Malcolm W. R. Reed, Shahana Ahmed, Maya Ghoussaini, Paul DP. Pharoah, Daehee Kang, Keun-Young Yoo, Dong-Young Noh, Anna Jakubowska, Katarzyna Jaworska, Katarzyna Durda, Elżbieta Złowocka, Suleeporn Sangrajrang, Valerie Gaborieau, Paul Brennan, James McKay, Chen-Yang Shen, Jyh-Cherng Yu, Huan-Ming Hsu, Ming-Feng Hou, Nick Orr, Minouk Schoemaker, Alan Ashworth, Anthony Swerdlow, Amy Trentham-Dietz, Polly A. Newcomb, Linda Titus, Kathleen M. Egan, Georgia Chenevix-Trench, Antonis C. Antoniou, Manjeet K. Humphreys, Jonathan Morrison, Jenny Chang-Claude, Douglas F. Easton, and Alison M. Dunning
Subjects: Medicine, Science
Published: 2012
Full Text: View/download PDF

15. Genetic variants at chromosomes 2q35, 5p12, 6q25.1, 10q26.13, and 16q12.1 influence the risk of breast cancer in men.

Author: Nick Orr, Rosie Cooke, Michael Jones, Olivia Fletcher, Frank Dudbridge, Sarah Chilcott-Burns, Katarzyna Tomczyk, Peter Broderick, Richard Houlston, Alan Ashworth, and Anthony Swerdlow
Subjects: Genetics, QH426-470
Abstract: Male breast cancer accounts for approximately 1% of all breast cancer. To date, risk factors for male breast cancer are poorly defined, but certain risk factors and genetic features appear common to both male and female breast cancer. Genome-wide association studies (GWAS) have recently identified common single nucleotide polymorphisms (SNPs) that influence female breast cancer risk; 12 of these have been independently replicated. To examine if these variants contribute to male breast cancer risk, we genotyped 433 male breast cancer cases and 1,569 controls. Five SNPs showed a statistically significant association with male breast cancer: rs13387042 (2q35) (odds ratio (OR) = 1.30, p = 7.98×10⁻⁴), rs10941679 (5p12) (OR = 1.26, p = 0.007), rs9383938 (6q25.1) (OR = 1.39, p = 0.004), rs2981579 (FGFR2) (OR = 1.18, p = 0.03), and rs3803662 (TOX3) (OR = 1.48, p = 4.04×10⁻⁶). Comparing the ORs for male breast cancer with the published ORs for female breast cancer, three SNPs--rs13387042 (2q35), rs3803662 (TOX3), and rs6504950 (COX11)--showed significant differences in ORs (p
Published: 2011
Full Text: View/download PDF

16. A sequence polymorphism in MSTN predicts sprinting ability and racing stamina in thoroughbred horses.

Author: Emmeline W Hill, Jingjing Gu, Suzanne S Eivers, Rita G Fonseca, Beatrice A McGivney, Preethi Govindarajan, Nick Orr, Lisa M Katz, and David E MacHugh
Subjects: Medicine, Science
Abstract: Variants of the MSTN gene encoding myostatin are associated with muscle hypertrophy phenotypes in a range of mammalian species, most notably cattle, dogs, mice, and humans. Using a sample of registered Thoroughbred horses (n = 148), we have identified a novel MSTN sequence polymorphism that is strongly associated (g.66493737C>T, P = 4.85x10(-8)) with best race distance among elite racehorses (n = 79). This observation was independently validated (P = 1.91x10(-6)) in a resampled group of Thoroughbreds (n = 62) and in a cohort of Thoroughbreds (n = 37, P = 0.0047) produced by the same trainer. We observed that C/C horses are suited to fast, short-distance races; C/T horses compete favorably in middle-distance races; and T/T horses have greater stamina. Evaluation of retrospective racecourse performance (n = 142) and stallion progeny performance predict that C/C and C/T horses are more likely to be successful two-year-old racehorses than T/T animals. Here we describe for the first time the identification of a gene variant in Thoroughbred racehorses that is predictive of genetic potential for an athletic phenotype.
Published: 2010
Full Text: View/download PDF

17. Correction: A Sequence Polymorphism in Predicts Sprinting Ability and Racing Stamina in Thoroughbred Horses.

Author: Emmeline W. Hill, Jingjing Gu, Suzanne S. Eivers, Rita G. Fonseca, Beatrice A. McGivney, Preethi Govindarajan, Nick Orr, Lisa M. Katz, and David E. MacHugh
Subjects: Medicine, Science
Published: 2010
Full Text: View/download PDF

18. A genome scan for positive selection in thoroughbred horses.

Author: Jingjing Gu, Nick Orr, Stephen D Park, Lisa M Katz, Galina Sulimova, David E MacHugh, and Emmeline W Hill
Subjects: Medicine, Science
Abstract: Thoroughbred horses have been selected for exceptional racing performance resulting in system-wide structural and functional adaptations contributing to elite athletic phenotypes. Because selection has been recent and intense in a closed population that stems from a small number of founder animals Thoroughbreds represent a unique population within which to identify genomic contributions to exercise-related traits. Employing a population genetics-based hitchhiking mapping approach we performed a genome scan using 394 autosomal and X chromosome microsatellite loci and identified positively selected loci in the extreme tail-ends of the empirical distributions for (1) deviations from expected heterozygosity (Ewens-Watterson test) in Thoroughbred (n = 112) and (2) global differentiation among four geographically diverse horse populations (F(ST)). We found positively selected genomic regions in Thoroughbred enriched for phosphoinositide-mediated signalling (3.2-fold enrichment; P
Published: 2009
Full Text: View/download PDF

19. Neovascular age-related macular degeneration risk based on CFH, LOC387715/HTRA1, and smoking.

Author: Anne E Hughes, Nick Orr, Chris Patterson, Hossein Esfandiary, Ruth Hogg, Vivienne McConnell, Giuliana Silvestri, and Usha Chakravarthy
Subjects: Medicine
Abstract: BackgroundAge-related macular degeneration (AMD) is the major cause of blindness in the elderly. Those with the neovascular end-stage of disease have irreversible loss of central vision. AMD is a complex disorder in which genetic and environmental factors play a role. Polymorphisms in the complement factor H (CFH) gene, LOC387715, and the HTRA1 promoter are strongly associated with AMD. Smoking also contributes to the etiology. We aimed to provide a model of disease risk based on these factors.Methods and findingsWe genotyped polymorphisms in CFH and LOC387715/HTRA1 in a case-control study of 401 patients with neovascular AMD and 266 controls without signs of disease, and used the data to produce genetic risk scores for the European-descent population based on haplotypes at these loci and smoking history. CFH and LOC387715/HTRA1 haplotypes and smoking status exerted large effects on AMD susceptibility, enabling risk scores to be generated with appropriate weighting of these three factors. Five common haplotypes of CFH conferred a range of odds ratios (ORs) per copy from 1 to 4.17. Most of the effect of LOC387715/HTRA1 was mediated through one detrimental haplotype (carriage of one copy: OR 2.83; 95% confidence interval [CI] 1.91-4.20), with homozygotes being at particularly high risk (OR 32.83; 95% CI 12.53-86.07). Patients with neovascular macular degeneration had considerably higher scores than those without disease, and risk of blinding AMD rose to 15.5% in the tenth of the population with highest predicted risk.ConclusionsAn individual's risk of developing AMD in old age can be predicted by combining haplotype data with smoking status. Until there is effective treatment for AMD, encouragement to avoid smoking in those at high genetic risk may be the best option. We estimate that total absence of smoking would have reduced the prevalence of severe AMD by 33%. Unless smoking habits change or preventative treatment becomes available, the prevalence of AMD will rise as a consequence of the increasing longevity of the population.
Published: 2007
Full Text: View/download PDF

20. Developing Virtual Patients with VR/AR for a natural user interface in medical teaching.

Author: Marjorie A. Zielke, Djakhangir Zakhidov, Gary Hardee, Leonard Evans, Sean Lenox, Nick Orr, Dylan Fino, and Gautham Mathialagan
Published: 2017
Full Text: View/download PDF

21. Supplementary Tables 1-3 from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

Author: Sara Lindström, Jenny Chang-Claude, Peter Kraft, Li Hsu, Roger L. Milne, Douglas F. Easton, Håkan Olsson, Sophia Wang, James V. Lacey, Nick Orr, Anthony J. Swerdlow, Jack A. Taylor, Dale P. Sandler, Alicja Wolk, Kamila Czene, Per Hall, Anthony Howell, D. Gareth Evans, Rose Yang, Thomas Ahearn, Jonine Figueroa, Montserrat García-Closas, Heather Eliassen, Rulla Tamimi, Cheng Peng, Michael I. Love, Melissa A. Troester, Jirong Long, Wei Zheng, Mark S. Goldberg, Jacques Simard, Stacey Winham, Christopher Scott, Gertraud Maskarinec, Christopher A. Haiman, Graham G. Giles, Heiko Becher, Audrey Jung, Veli-Matti Kosma, Arto Mannermaa, Sabine Behrens, Wing-Yee Lo, Reiner Hoppe, Volker Arndt, Hermann Brenner, Rudolf Kaaks, Federico Canzian, James M. Hodge, Lauren R. Teras, Thérèse Truong, Pascal Guénel, Kristan Aronson, Rachel A. Murphy, Rana Shibli, Gad Rennert, Jennifer Stone, Laura E. Beane Freeman, Stella Koutros, Melissa C. Southey, John L. Hopper, Paul D.P. Pharoah, Kyriaki Michailidou, Qin Wang, Michael Lush, Alison M. Dunning, Joe Dennis, Manjeet K. Bolla, Yu-Ru Su, Pooja Middha Kapoor, Hongjie Chen, and Xiaoliang Wang
Abstract: Supplementary Table 1. Sample Size of each participated study, by case-control status and genotype platform. Supplementary Table 2. Association between fourteen environmental factors and the risk of breast cancer. Supplementary Table 3. Interactions between genes and fourteen environmental factors.
Published: 2023

22. Data from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

Author: Sara Lindström, Jenny Chang-Claude, Peter Kraft, Li Hsu, Roger L. Milne, Douglas F. Easton, Håkan Olsson, Sophia Wang, James V. Lacey, Nick Orr, Anthony J. Swerdlow, Jack A. Taylor, Dale P. Sandler, Alicja Wolk, Kamila Czene, Per Hall, Anthony Howell, D. Gareth Evans, Rose Yang, Thomas Ahearn, Jonine Figueroa, Montserrat García-Closas, Heather Eliassen, Rulla Tamimi, Cheng Peng, Michael I. Love, Melissa A. Troester, Jirong Long, Wei Zheng, Mark S. Goldberg, Jacques Simard, Stacey Winham, Christopher Scott, Gertraud Maskarinec, Christopher A. Haiman, Graham G. Giles, Heiko Becher, Audrey Jung, Veli-Matti Kosma, Arto Mannermaa, Sabine Behrens, Wing-Yee Lo, Reiner Hoppe, Volker Arndt, Hermann Brenner, Rudolf Kaaks, Federico Canzian, James M. Hodge, Lauren R. Teras, Thérèse Truong, Pascal Guénel, Kristan Aronson, Rachel A. Murphy, Rana Shibli, Gad Rennert, Jennifer Stone, Laura E. Beane Freeman, Stella Koutros, Melissa C. Southey, John L. Hopper, Paul D.P. Pharoah, Kyriaki Michailidou, Qin Wang, Michael Lush, Alison M. Dunning, Joe Dennis, Manjeet K. Bolla, Yu-Ru Su, Pooja Middha Kapoor, Hongjie Chen, and Xiaoliang Wang
Abstract: Genome-wide association studies (GWAS) have identified more than 200 susceptibility loci for breast cancer, but these variants explain less than a fifth of the disease risk. Although gene–environment interactions have been proposed to account for some of the remaining heritability, few studies have empirically assessed this.We obtained genotype and risk factor data from 46,060 cases and 47,929 controls of European ancestry from population-based studies within the Breast Cancer Association Consortium (BCAC). We built gene expression prediction models for 4,864 genes with a significant (P < 0.01) heritable component using the transcriptome and genotype data from the Genotype-Tissue Expression (GTEx) project. We leveraged predicted gene expression information to investigate the interactions between gene-centric genetic variation and 14 established risk factors in association with breast cancer risk, using a mixed-effects score test.After adjusting for number of tests using Bonferroni correction, no interaction remained statistically significant. The strongest interaction observed was between the predicted expression of the C13orf45 gene and age at first full-term pregnancy (PGXE = 4.44 × 10−6).In this transcriptome-informed genome-wide gene–environment interaction study of breast cancer, we found no strong support for the role of gene expression in modifying the associations between established risk factors and breast cancer risk.Our study suggests a limited role of gene–environment interactions in breast cancer risk.
Published: 2023

23. Supplementary Information from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

Author: Sara Lindström, Jenny Chang-Claude, Peter Kraft, Li Hsu, Roger L. Milne, Douglas F. Easton, Håkan Olsson, Sophia Wang, James V. Lacey, Nick Orr, Anthony J. Swerdlow, Jack A. Taylor, Dale P. Sandler, Alicja Wolk, Kamila Czene, Per Hall, Anthony Howell, D. Gareth Evans, Rose Yang, Thomas Ahearn, Jonine Figueroa, Montserrat García-Closas, Heather Eliassen, Rulla Tamimi, Cheng Peng, Michael I. Love, Melissa A. Troester, Jirong Long, Wei Zheng, Mark S. Goldberg, Jacques Simard, Stacey Winham, Christopher Scott, Gertraud Maskarinec, Christopher A. Haiman, Graham G. Giles, Heiko Becher, Audrey Jung, Veli-Matti Kosma, Arto Mannermaa, Sabine Behrens, Wing-Yee Lo, Reiner Hoppe, Volker Arndt, Hermann Brenner, Rudolf Kaaks, Federico Canzian, James M. Hodge, Lauren R. Teras, Thérèse Truong, Pascal Guénel, Kristan Aronson, Rachel A. Murphy, Rana Shibli, Gad Rennert, Jennifer Stone, Laura E. Beane Freeman, Stella Koutros, Melissa C. Southey, John L. Hopper, Paul D.P. Pharoah, Kyriaki Michailidou, Qin Wang, Michael Lush, Alison M. Dunning, Joe Dennis, Manjeet K. Bolla, Yu-Ru Su, Pooja Middha Kapoor, Hongjie Chen, and Xiaoliang Wang
Abstract: Funding and acknowledgements.
Published: 2023

24. Supplementary Figure 1 from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

Author: Sara Lindström, Jenny Chang-Claude, Peter Kraft, Li Hsu, Roger L. Milne, Douglas F. Easton, Håkan Olsson, Sophia Wang, James V. Lacey, Nick Orr, Anthony J. Swerdlow, Jack A. Taylor, Dale P. Sandler, Alicja Wolk, Kamila Czene, Per Hall, Anthony Howell, D. Gareth Evans, Rose Yang, Thomas Ahearn, Jonine Figueroa, Montserrat García-Closas, Heather Eliassen, Rulla Tamimi, Cheng Peng, Michael I. Love, Melissa A. Troester, Jirong Long, Wei Zheng, Mark S. Goldberg, Jacques Simard, Stacey Winham, Christopher Scott, Gertraud Maskarinec, Christopher A. Haiman, Graham G. Giles, Heiko Becher, Audrey Jung, Veli-Matti Kosma, Arto Mannermaa, Sabine Behrens, Wing-Yee Lo, Reiner Hoppe, Volker Arndt, Hermann Brenner, Rudolf Kaaks, Federico Canzian, James M. Hodge, Lauren R. Teras, Thérèse Truong, Pascal Guénel, Kristan Aronson, Rachel A. Murphy, Rana Shibli, Gad Rennert, Jennifer Stone, Laura E. Beane Freeman, Stella Koutros, Melissa C. Southey, John L. Hopper, Paul D.P. Pharoah, Kyriaki Michailidou, Qin Wang, Michael Lush, Alison M. Dunning, Joe Dennis, Manjeet K. Bolla, Yu-Ru Su, Pooja Middha Kapoor, Hongjie Chen, and Xiaoliang Wang
Abstract: Quantile-Quantile plot (Q-Q plot) of the aMiSTi p-values for each set of the GxE interactions.
Published: 2023

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

Author: Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar
Abstract: Supplementary Grant Support
Published: 2023

26. Supplementary Movie S1 from An In Vivo Functional Screen Identifies ST6GalNAc2 Sialyltransferase as a Breast Cancer Metastasis Suppressor

Author: Clare M. Isacke, Alan Ashworth, Christopher J. Lord, Helen Yarwood, Anne Dell, Stuart M. Haslam, Marketa Zvelebil, Nick Orr, Qiong Gao, Costas Mitsopoulos, Kerry Fenwick, David Sims, Mariam Jamal-Hanjani, Antony Fearns, Aristotelis Antonopoulos, Damian A. Johnson, Aleksandar Ivetic, Antoinette van Weverwijk, Marjan Iravani, and Nirupa Murugaesu
Abstract: MOV file 2346K, Video showing dynamic flow adhesion assays of ZR75.1 shNTC and shST6 cells on a HUVEC monolayer
Published: 2023

27. Supplementary Methods, Figures S1 - S3 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar
Abstract: Supplementary Figure S1. LocusZoom regional association plots for the seven new cross-cancer loci that were > 1 Mb from known index SNPs. Supplementary Figure S2A-B. Box plots showing eQTL associations between (A) rs9375701 and L3MBTL3 in normal breast and prostate tissues and (B) rs8037137 and RCCD1 in normal breast and ovarian tissues. Supplementary Figure S3. Interactions between BCL2L11 and the 32 Biocarta "Death Pathway" genes. Interactions were identified using the GeneMania server. Circles contain gene names, lines represent interactions, and the color of the line indicates a specific type of interaction as listed in the legend.
Published: 2023

28. Supplementary Tables S1 - S10 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar
Abstract: Supplementary Table S1. Known risk loci for each cancer. Supplementary Table S2. Regions where known index SNPs for at least two of the three cancers lie within 1 Mb of each other. Supplementary Table S3. Full results from the meta-analysis of breast, ovarian, and prostate cancer showing the 18 independent loci associated at P < 10-8 with the same direction of effect across all three cancers. Supplementary Table S4. Conditional analysis of the rs1469713 (breast-ovarian-prostate cancer) signal, conditioning on the rs4808801 (breast cancer-specific) signal that was < 1 Mb away using GCTA software. Supplementary Table S5. Most significantly-associated genotyped SNP at new loci where index SNPs were imputed. Supplementary Table S6. Expression QTL analysis results from the GTEx Portal for the new cross-cancer risk loci listed in main Table 2. Supplementary Table S7. SNPs with P < 10-8 at the new cross-cancer risk loci listed in main Table 2 that overlap predicted enhancers in at least two cell types. Supplementary Table S8. HaploReg and non-coding RNA annotation of variants with P < 10-8 at the new cross-cancer risk loci listed in main Table 2. Supplementary Table S9. Eight of the 32 genes involved in induction of apoptosis through DR3 and DR4/5 Death Receptors (MSigDB: Biocarta "Death Pathway") a that were < 1 Mb away from an independent P < 10-5 index SNP in the 3-cancer meta-analysis. Supplementary Table S10. INRICH pathway analysis results for pathways with empirical P < 0.05. Apoptosis-related pathways containing BCL2L11 are shaded.
Published: 2023

29. Supplementary Figure S1 from An In Vivo Functional Screen Identifies ST6GalNAc2 Sialyltransferase as a Breast Cancer Metastasis Suppressor

Author: Clare M. Isacke, Alan Ashworth, Christopher J. Lord, Helen Yarwood, Anne Dell, Stuart M. Haslam, Marketa Zvelebil, Nick Orr, Qiong Gao, Costas Mitsopoulos, Kerry Fenwick, David Sims, Mariam Jamal-Hanjani, Antony Fearns, Aristotelis Antonopoulos, Damian A. Johnson, Aleksandar Ivetic, Antoinette van Weverwijk, Marjan Iravani, and Nirupa Murugaesu
Abstract: PDF file 149K, In vivo validation of 3 hits identified in the screen (Mre11a, Fen1, Wwc1)
Published: 2023

30. Supplementary Material from An In Vivo Functional Screen Identifies ST6GalNAc2 Sialyltransferase as a Breast Cancer Metastasis Suppressor

Author: Clare M. Isacke, Alan Ashworth, Christopher J. Lord, Helen Yarwood, Anne Dell, Stuart M. Haslam, Marketa Zvelebil, Nick Orr, Qiong Gao, Costas Mitsopoulos, Kerry Fenwick, David Sims, Mariam Jamal-Hanjani, Antony Fearns, Aristotelis Antonopoulos, Damian A. Johnson, Aleksandar Ivetic, Antoinette van Weverwijk, Marjan Iravani, and Nirupa Murugaesu
Abstract: PDF file 107K, Inventory of supplementary material. Supplementary Table S1 listing primers and siRNAs. Legends for Supplementary Fig. S1 - S7 Legends for Supplementary Movies S1 and S2 Supplementary Figures S1 - S6 legends Supplementary Movies S1 and S2 legends
Published: 2023

31. Supplementary Figure 1 from Temporal Stability and Determinants of White Blood Cell DNA Methylation in the Breakthrough Generations Study

Author: Montserrat Garcia-Closas, Robert Brown, Anthony Swerdlow, Alan Ashworth, Minouk J. Schoemaker, Michael E. Jones, Olivia Fletcher, Penny Coulson, Katarzyna Tomczyk, Nick Orr, Mark N. Brook, and James M. Flanagan
Abstract: Supplementary Figure 1. Replication of probes showing an association between age and methylation levels in Florath et al. 2014 (31).
Published: 2023

32. Supplementary Table 2 from 9q31.2-rs865686 as a Susceptibility Locus for Estrogen Receptor-Positive Breast Cancer: Evidence from the Breast Cancer Association Consortium

Author: Isabel dos-Santos-Silva, Julian Peto, Qin Wang, Manjeet Humphreys, Douglas F. Easton, Minouk Schoemaker, Michael Jones, Anthony Swerdlow, Alan Ashworth, Maya Ghoussaini, Alison M. Dunning, Fiona M. Blows, Paul Pharoah, Malcolm W.R. Reed, Ian W. Brock, Simon S. Cross, Angela Cox, Jingmei Li, Jianjun Liu, Kamila Czene, Per Hall, Madeleine M.A. Tilanus-Linthorst, Agnes Jager, Antoinette Hollestelle, Maartje J. Hooning, Caroline M. Seynaeve, John W.M. Martens, Robert A.E.M. Tollenaar, Peter Devilee, Nayana Weerasooriya, Anna Marie Mulligan, Julia A. Knight, Irene L. Andrulis, Mervi Grip, Arja Jukkola-Vuorinen, Katri Pylkäs, Robert Winqvist, Alexander Miron, Esther M. John, Gianluca Severi, Cariona A. McLean, Laura Baglietto, Graham Giles, Janet Olson, Xianshu Wang, Celine Vachon, Fergus J. Couch, Paolo Radice, Siranoush Manoukian, Loris Bernard, Paolo Peterlongo, Sabine Behrens, Katharina Buck, Dieter Flesch-Janys, Caroline Weltens, Robert Paridaens, Ann Smeets, Diether Lambrechts, Xiaoqing Chen, Jonathan Beesley, Georgia Chenevix-Trench, Vesa Kataja, Jaana M. Hartikainen, Veli-Matti Kosma, Arto Mannermaa, Sara Margolin, Annika Lindblom, Elza Khusnutdinova, Guzel Zinnatullina, Darya Prokofyeva, Marina Bermisheva, Yuriy Rogov, Natalia Antonenkova, Natalia Bogdanova, Carl Blomqvist, Kristiina Aittomäki, Taru A. Muranen, Heli Nevanlinna, Peter Hillemanns, Michael Bremer, Peter Schürmann, Thilo Dörk, Ursula Eilber, Shan Wang-Gohrke, Jenny Chang-Claude, Thomas Brüning, Christina Justenhoven, Hiltrud Brauch, Rita K. Schmutzler, Claus R. Bartram, Michael Golatta, Alfons Meindl, Anne Langheinz, Volker Arndt, Heiko Müller, Hermann Brenner, Christina Clarke Dur, Leslie Bernstein, Argyrios Ziogas, Hoda Anton-Culver, M. Pilar Zamora, José-Ignacio Arias-Pérez, Javier Benítez, Roger L. Milne, Børge G Nordestgaard, Henrik Flyger, Sune F. Nielsen, Stig E Bojesen, Claire Mulot, Pierre Laurent-Puig, Thérèse Truong, Pascal Guénel, Christof Sohn, Andreas Schneeweiss, Frederik Marme, Barbara Burwinkel, Michael Kerin, Ian Tomlinson, Elinor J. Sawyer, Ruediger Schulz-Wendtland, Arif B. Ekici, Matthias W. Beckmann, Peter A. Fasching, Surapon Wiangnon, Arkom Chaiwerawattana, Artitaya Lophatananon, Kenneth R. Muir, Linda M. Braaf, Sten Cornelissen, Annegien Broeks, Marjanka K. Schmidt, Maryam Mahmoodi, Melissa C. Southey, Carmel Apicella, John L. Hopper, Nichola Johnson, Nick Orr, Olivia Fletcher, Frank Dudbridge, and Helen Warren
Abstract: PDF file, 70K, Availability of information on tumor morphology and receptor status for Europeans, by each included BCAC study.
Published: 2023

33. Supplementary Table 1 from Temporal Stability and Determinants of White Blood Cell DNA Methylation in the Breakthrough Generations Study

Author: Montserrat Garcia-Closas, Robert Brown, Anthony Swerdlow, Alan Ashworth, Minouk J. Schoemaker, Michael E. Jones, Olivia Fletcher, Penny Coulson, Katarzyna Tomczyk, Nick Orr, Mark N. Brook, and James M. Flanagan
Abstract: Supplementary Table 1. Replication of age-associated probes in Florath et al. (31).
Published: 2023

34. Supplementary Figure 3 from Temporal Stability and Determinants of White Blood Cell DNA Methylation in the Breakthrough Generations Study

Author: Montserrat Garcia-Closas, Robert Brown, Anthony Swerdlow, Alan Ashworth, Minouk J. Schoemaker, Michael E. Jones, Olivia Fletcher, Penny Coulson, Katarzyna Tomczyk, Nick Orr, Mark N. Brook, and James M. Flanagan
Abstract: Supplementary Figure 3. Q-Q plots for associations between DNA methylation M-values and smoking status, using standard regression analyses, SVA-adjusted analyses, and analyses adjusting for cell type.
Published: 2023

35. Supplementary Table 1 from Fine-Scale Mapping of the 4q24 Locus Identifies Two Independent Loci Associated with Breast Cancer Risk

Author: Wei Zheng, Douglas F. Easton, Alison M. Dunning, Georgia Chenevix-Trench, Jacques Simard, Paul D.P. Pharoah, Per Hall, Ying Zheng, M. Pilar Zamora, Cheng Har Yip, Anna Wu, Robert Winqvist, Wanqing Wen, Ans van den Ouweland, Chiu-chen Tseng, Thérèse Truong, Ian P.M. Tomlinson, Robert A.E.M. Tollenaar, Amanda Ewart Toland, Bernard Thienpont, Soo Hwang Teo, Anthony Swerdlow, Melissa C. Southey, Martha J. Shrubsole, Jiajun Shi, Chen-Yang Shen, Rita K. Schmutzler, Marjanka K. Schmidt, Elinor J. Sawyer, Suleeporn Sangrajrang, Anja Rudolph, Thomas Choudary Putti, Paolo Peterlongo, Nick Orr, Janet E. Olson, Silje Nord, Heli Nevanlinna, Susan L. Neuhausen, Kenneth Muir, Alfons Meindl, Catriona A. McLean, Keitaro Matsuo, Frederik Marme, Sara Margolin, Siranoush Manoukian, Arto Mannermaa, Jan Lubinski, Artitaya Lophatananon, Annika Lindblom, Jingmei Li, Loic Le Marchand, Diether Lambrechts, Veli-Matti Kosma, Julia A. Knight, Sofia Khan, Daehee Kang, Maria Kabisch, Nichola Johnson, Anna Jakubowska, Hidemi Ito, Chia-Ni Hsiung, John L. Hopper, Antoinette Hollestelle, Mikael Hartman, Ute Hamann, Christopher A. Haiman, Pascal Guénel, Mervi Grip, Graham G. Giles, Montserrat García-Closas, Valerie Gaborieau, Florentia Fostira, Henrik Flyger, Olivia Fletcher, Peter A. Fasching, Thilo Dörk, Arnaud Droit, Peter Devilee, Hatef Darabi, Kamila Czene, Simon S. Cross, Angela Cox, Fergus J. Couch, Ji-Yeob Choi, Jenny Chang-Claude, Sander Canisius, Hui Cai, Barbara Burwinkel, Thomas Brüning, Annegien Broeks, Louise Brinton, Hermann Brenner, Hiltrud Brauch, Stig E. Bojesen, Natalia Bogdanova, William Blot, Javier Benitez, Alicia Beeghly-Fadiel, Matthias W. Beckmann, Volker Arndt, Hoda Anton-Culver, Irene L. Andrulis, Siddhartha P. Kar, Jonathan Beesley, Qiuyin Cai, Xiao-Ou Shu, Roger L. Milne, Qin Wang, Manjeet K. Bolla, Maya Ghoussaini, Kyriaki Michailidou, Chenjie Zeng, Jirong Long, and Xingyi Guo
Abstract: Summary results for all SNPs at the 4q24 locus associated with breast cancer risk at P
Published: 2023

36. Data from Fine-Scale Mapping of the 4q24 Locus Identifies Two Independent Loci Associated with Breast Cancer Risk

Author: Wei Zheng, Douglas F. Easton, Alison M. Dunning, Georgia Chenevix-Trench, Jacques Simard, Paul D.P. Pharoah, Per Hall, Ying Zheng, M. Pilar Zamora, Cheng Har Yip, Anna Wu, Robert Winqvist, Wanqing Wen, Ans van den Ouweland, Chiu-chen Tseng, Thérèse Truong, Ian P.M. Tomlinson, Robert A.E.M. Tollenaar, Amanda Ewart Toland, Bernard Thienpont, Soo Hwang Teo, Anthony Swerdlow, Melissa C. Southey, Martha J. Shrubsole, Jiajun Shi, Chen-Yang Shen, Rita K. Schmutzler, Marjanka K. Schmidt, Elinor J. Sawyer, Suleeporn Sangrajrang, Anja Rudolph, Thomas Choudary Putti, Paolo Peterlongo, Nick Orr, Janet E. Olson, Silje Nord, Heli Nevanlinna, Susan L. Neuhausen, Kenneth Muir, Alfons Meindl, Catriona A. McLean, Keitaro Matsuo, Frederik Marme, Sara Margolin, Siranoush Manoukian, Arto Mannermaa, Jan Lubinski, Artitaya Lophatananon, Annika Lindblom, Jingmei Li, Loic Le Marchand, Diether Lambrechts, Veli-Matti Kosma, Julia A. Knight, Sofia Khan, Daehee Kang, Maria Kabisch, Nichola Johnson, Anna Jakubowska, Hidemi Ito, Chia-Ni Hsiung, John L. Hopper, Antoinette Hollestelle, Mikael Hartman, Ute Hamann, Christopher A. Haiman, Pascal Guénel, Mervi Grip, Graham G. Giles, Montserrat García-Closas, Valerie Gaborieau, Florentia Fostira, Henrik Flyger, Olivia Fletcher, Peter A. Fasching, Thilo Dörk, Arnaud Droit, Peter Devilee, Hatef Darabi, Kamila Czene, Simon S. Cross, Angela Cox, Fergus J. Couch, Ji-Yeob Choi, Jenny Chang-Claude, Sander Canisius, Hui Cai, Barbara Burwinkel, Thomas Brüning, Annegien Broeks, Louise Brinton, Hermann Brenner, Hiltrud Brauch, Stig E. Bojesen, Natalia Bogdanova, William Blot, Javier Benitez, Alicia Beeghly-Fadiel, Matthias W. Beckmann, Volker Arndt, Hoda Anton-Culver, Irene L. Andrulis, Siddhartha P. Kar, Jonathan Beesley, Qiuyin Cai, Xiao-Ou Shu, Roger L. Milne, Qin Wang, Manjeet K. Bolla, Maya Ghoussaini, Kyriaki Michailidou, Chenjie Zeng, Jirong Long, and Xingyi Guo
Abstract: Background: A recent association study identified a common variant (rs9790517) at 4q24 to be associated with breast cancer risk. Independent association signals and potential functional variants in this locus have not been explored.Methods: We conducted a fine-mapping analysis in 55,540 breast cancer cases and 51,168 controls from the Breast Cancer Association Consortium.Results: Conditional analyses identified two independent association signals among women of European ancestry, represented by rs9790517 [conditional P = 2.51 × 10−4; OR, 1.04; 95% confidence interval (CI), 1.02–1.07] and rs77928427 (P = 1.86 × 10−4; OR, 1.04; 95% CI, 1.02–1.07). Functional annotation using data from the Encyclopedia of DNA Elements (ENCODE) project revealed two putative functional variants, rs62331150 and rs73838678 in linkage disequilibrium (LD) with rs9790517 (r2 ≥ 0.90) residing in the active promoter or enhancer, respectively, of the nearest gene, TET2. Both variants are located in DNase I hypersensitivity and transcription factor–binding sites. Using data from both The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), we showed that rs62331150 was associated with level of expression of TET2 in breast normal and tumor tissue.Conclusion: Our study identified two independent association signals at 4q24 in relation to breast cancer risk and suggested that observed association in this locus may be mediated through the regulation of TET2.Impact: Fine-mapping study with large sample size warranted for identification of independent loci for breast cancer risk. Cancer Epidemiol Biomarkers Prev; 24(11); 1680–91. ©2015 AACR.
Published: 2023

37. Supplementary Table 2 from Temporal Stability and Determinants of White Blood Cell DNA Methylation in the Breakthrough Generations Study

Author: Montserrat Garcia-Closas, Robert Brown, Anthony Swerdlow, Alan Ashworth, Minouk J. Schoemaker, Michael E. Jones, Olivia Fletcher, Penny Coulson, Katarzyna Tomczyk, Nick Orr, Mark N. Brook, and James M. Flanagan
Abstract: Supplementary Table 2. ICC and association between weight and methylation levels for probes with P
Published: 2023

38. Data from Temporal Stability and Determinants of White Blood Cell DNA Methylation in the Breakthrough Generations Study

Author: Montserrat Garcia-Closas, Robert Brown, Anthony Swerdlow, Alan Ashworth, Minouk J. Schoemaker, Michael E. Jones, Olivia Fletcher, Penny Coulson, Katarzyna Tomczyk, Nick Orr, Mark N. Brook, and James M. Flanagan
Abstract: Background: Epigenome-wide association studies (EWAS) using measurements of blood DNA methylation are performed to identify associations of methylation changes with environmental and lifestyle exposures and disease risk. However, little is known about the variation of methylation markers in the population and their stability over time, both important factors in the design and interpretation of EWAS. We aimed to identify stable variable methylated probes (VMP), i.e., markers that are variable in the population, yet stable over time.Methods: We estimated the intraclass correlation coefficient (ICC) for each probe on the Illumina 450K methylation array in paired samples collected approximately 6 years apart from 92 participants in the Breakthrough Generations Study. We also evaluated relationships with age, reproductive and hormonal history, weight, alcohol intake, and smoking.Results: Approximately 17% of probes had an ICC > 0.50 and were considered stable VMPs (stable-VMPs). Stable-VMPs were enriched for probes located in “shores” bordering CpG islands, and at approximately 1.3 kb downstream from the transcription start site in the transition between the unmethylated promoter and methylated gene body. Both cross-sectional and longitudinal data analyses provided strong evidence for associations between changes in methylation levels and aging. Smoking-related probes at 2q37.1 and AHRR were stable-VMPs and related to time since quitting. We also observed associations between methylation and weight changes.Conclusion: Our results provide support for the use of white blood cell DNA methylation as a biomarker of exposure in EWAS.Impact: Larger studies, preferably with repeated measures over time, will be required to establish associations between specific probes and exposures. Cancer Epidemiol Biomarkers Prev; 24(1); 221–9. ©2014 AACR.
Published: 2023

39. Supplementary Table Legend from 9q31.2-rs865686 as a Susceptibility Locus for Estrogen Receptor-Positive Breast Cancer: Evidence from the Breast Cancer Association Consortium

Author: Isabel dos-Santos-Silva, Julian Peto, Qin Wang, Manjeet Humphreys, Douglas F. Easton, Minouk Schoemaker, Michael Jones, Anthony Swerdlow, Alan Ashworth, Maya Ghoussaini, Alison M. Dunning, Fiona M. Blows, Paul Pharoah, Malcolm W.R. Reed, Ian W. Brock, Simon S. Cross, Angela Cox, Jingmei Li, Jianjun Liu, Kamila Czene, Per Hall, Madeleine M.A. Tilanus-Linthorst, Agnes Jager, Antoinette Hollestelle, Maartje J. Hooning, Caroline M. Seynaeve, John W.M. Martens, Robert A.E.M. Tollenaar, Peter Devilee, Nayana Weerasooriya, Anna Marie Mulligan, Julia A. Knight, Irene L. Andrulis, Mervi Grip, Arja Jukkola-Vuorinen, Katri Pylkäs, Robert Winqvist, Alexander Miron, Esther M. John, Gianluca Severi, Cariona A. McLean, Laura Baglietto, Graham Giles, Janet Olson, Xianshu Wang, Celine Vachon, Fergus J. Couch, Paolo Radice, Siranoush Manoukian, Loris Bernard, Paolo Peterlongo, Sabine Behrens, Katharina Buck, Dieter Flesch-Janys, Caroline Weltens, Robert Paridaens, Ann Smeets, Diether Lambrechts, Xiaoqing Chen, Jonathan Beesley, Georgia Chenevix-Trench, Vesa Kataja, Jaana M. Hartikainen, Veli-Matti Kosma, Arto Mannermaa, Sara Margolin, Annika Lindblom, Elza Khusnutdinova, Guzel Zinnatullina, Darya Prokofyeva, Marina Bermisheva, Yuriy Rogov, Natalia Antonenkova, Natalia Bogdanova, Carl Blomqvist, Kristiina Aittomäki, Taru A. Muranen, Heli Nevanlinna, Peter Hillemanns, Michael Bremer, Peter Schürmann, Thilo Dörk, Ursula Eilber, Shan Wang-Gohrke, Jenny Chang-Claude, Thomas Brüning, Christina Justenhoven, Hiltrud Brauch, Rita K. Schmutzler, Claus R. Bartram, Michael Golatta, Alfons Meindl, Anne Langheinz, Volker Arndt, Heiko Müller, Hermann Brenner, Christina Clarke Dur, Leslie Bernstein, Argyrios Ziogas, Hoda Anton-Culver, M. Pilar Zamora, José-Ignacio Arias-Pérez, Javier Benítez, Roger L. Milne, Børge G Nordestgaard, Henrik Flyger, Sune F. Nielsen, Stig E Bojesen, Claire Mulot, Pierre Laurent-Puig, Thérèse Truong, Pascal Guénel, Christof Sohn, Andreas Schneeweiss, Frederik Marme, Barbara Burwinkel, Michael Kerin, Ian Tomlinson, Elinor J. Sawyer, Ruediger Schulz-Wendtland, Arif B. Ekici, Matthias W. Beckmann, Peter A. Fasching, Surapon Wiangnon, Arkom Chaiwerawattana, Artitaya Lophatananon, Kenneth R. Muir, Linda M. Braaf, Sten Cornelissen, Annegien Broeks, Marjanka K. Schmidt, Maryam Mahmoodi, Melissa C. Southey, Carmel Apicella, John L. Hopper, Nichola Johnson, Nick Orr, Olivia Fletcher, Frank Dudbridge, and Helen Warren
Abstract: PDF file, 45K.
Published: 2023

40. Supplementary Figure 4 from Temporal Stability and Determinants of White Blood Cell DNA Methylation in the Breakthrough Generations Study

Author: Montserrat Garcia-Closas, Robert Brown, Anthony Swerdlow, Alan Ashworth, Minouk J. Schoemaker, Michael E. Jones, Olivia Fletcher, Penny Coulson, Katarzyna Tomczyk, Nick Orr, Mark N. Brook, and James M. Flanagan
Abstract: Supplementary Figure 4. Q-Q plots for associations between DNA methylation M-values and various subject characteristics, using standard regression analyses, SVA-adjusted analyses, and analyses adjusting for cell type.
Published: 2023

41. Supplementary Table 3 from 9q31.2-rs865686 as a Susceptibility Locus for Estrogen Receptor-Positive Breast Cancer: Evidence from the Breast Cancer Association Consortium

Author: Isabel dos-Santos-Silva, Julian Peto, Qin Wang, Manjeet Humphreys, Douglas F. Easton, Minouk Schoemaker, Michael Jones, Anthony Swerdlow, Alan Ashworth, Maya Ghoussaini, Alison M. Dunning, Fiona M. Blows, Paul Pharoah, Malcolm W.R. Reed, Ian W. Brock, Simon S. Cross, Angela Cox, Jingmei Li, Jianjun Liu, Kamila Czene, Per Hall, Madeleine M.A. Tilanus-Linthorst, Agnes Jager, Antoinette Hollestelle, Maartje J. Hooning, Caroline M. Seynaeve, John W.M. Martens, Robert A.E.M. Tollenaar, Peter Devilee, Nayana Weerasooriya, Anna Marie Mulligan, Julia A. Knight, Irene L. Andrulis, Mervi Grip, Arja Jukkola-Vuorinen, Katri Pylkäs, Robert Winqvist, Alexander Miron, Esther M. John, Gianluca Severi, Cariona A. McLean, Laura Baglietto, Graham Giles, Janet Olson, Xianshu Wang, Celine Vachon, Fergus J. Couch, Paolo Radice, Siranoush Manoukian, Loris Bernard, Paolo Peterlongo, Sabine Behrens, Katharina Buck, Dieter Flesch-Janys, Caroline Weltens, Robert Paridaens, Ann Smeets, Diether Lambrechts, Xiaoqing Chen, Jonathan Beesley, Georgia Chenevix-Trench, Vesa Kataja, Jaana M. Hartikainen, Veli-Matti Kosma, Arto Mannermaa, Sara Margolin, Annika Lindblom, Elza Khusnutdinova, Guzel Zinnatullina, Darya Prokofyeva, Marina Bermisheva, Yuriy Rogov, Natalia Antonenkova, Natalia Bogdanova, Carl Blomqvist, Kristiina Aittomäki, Taru A. Muranen, Heli Nevanlinna, Peter Hillemanns, Michael Bremer, Peter Schürmann, Thilo Dörk, Ursula Eilber, Shan Wang-Gohrke, Jenny Chang-Claude, Thomas Brüning, Christina Justenhoven, Hiltrud Brauch, Rita K. Schmutzler, Claus R. Bartram, Michael Golatta, Alfons Meindl, Anne Langheinz, Volker Arndt, Heiko Müller, Hermann Brenner, Christina Clarke Dur, Leslie Bernstein, Argyrios Ziogas, Hoda Anton-Culver, M. Pilar Zamora, José-Ignacio Arias-Pérez, Javier Benítez, Roger L. Milne, Børge G Nordestgaard, Henrik Flyger, Sune F. Nielsen, Stig E Bojesen, Claire Mulot, Pierre Laurent-Puig, Thérèse Truong, Pascal Guénel, Christof Sohn, Andreas Schneeweiss, Frederik Marme, Barbara Burwinkel, Michael Kerin, Ian Tomlinson, Elinor J. Sawyer, Ruediger Schulz-Wendtland, Arif B. Ekici, Matthias W. Beckmann, Peter A. Fasching, Surapon Wiangnon, Arkom Chaiwerawattana, Artitaya Lophatananon, Kenneth R. Muir, Linda M. Braaf, Sten Cornelissen, Annegien Broeks, Marjanka K. Schmidt, Maryam Mahmoodi, Melissa C. Southey, Carmel Apicella, John L. Hopper, Nichola Johnson, Nick Orr, Olivia Fletcher, Frank Dudbridge, and Helen Warren
Abstract: PDF file, 57K, Genotyping characteristics of each BCAC participating study.
Published: 2023

42. Data from 9q31.2-rs865686 as a Susceptibility Locus for Estrogen Receptor-Positive Breast Cancer: Evidence from the Breast Cancer Association Consortium

Author: Isabel dos-Santos-Silva, Julian Peto, Qin Wang, Manjeet Humphreys, Douglas F. Easton, Minouk Schoemaker, Michael Jones, Anthony Swerdlow, Alan Ashworth, Maya Ghoussaini, Alison M. Dunning, Fiona M. Blows, Paul Pharoah, Malcolm W.R. Reed, Ian W. Brock, Simon S. Cross, Angela Cox, Jingmei Li, Jianjun Liu, Kamila Czene, Per Hall, Madeleine M.A. Tilanus-Linthorst, Agnes Jager, Antoinette Hollestelle, Maartje J. Hooning, Caroline M. Seynaeve, John W.M. Martens, Robert A.E.M. Tollenaar, Peter Devilee, Nayana Weerasooriya, Anna Marie Mulligan, Julia A. Knight, Irene L. Andrulis, Mervi Grip, Arja Jukkola-Vuorinen, Katri Pylkäs, Robert Winqvist, Alexander Miron, Esther M. John, Gianluca Severi, Cariona A. McLean, Laura Baglietto, Graham Giles, Janet Olson, Xianshu Wang, Celine Vachon, Fergus J. Couch, Paolo Radice, Siranoush Manoukian, Loris Bernard, Paolo Peterlongo, Sabine Behrens, Katharina Buck, Dieter Flesch-Janys, Caroline Weltens, Robert Paridaens, Ann Smeets, Diether Lambrechts, Xiaoqing Chen, Jonathan Beesley, Georgia Chenevix-Trench, Vesa Kataja, Jaana M. Hartikainen, Veli-Matti Kosma, Arto Mannermaa, Sara Margolin, Annika Lindblom, Elza Khusnutdinova, Guzel Zinnatullina, Darya Prokofyeva, Marina Bermisheva, Yuriy Rogov, Natalia Antonenkova, Natalia Bogdanova, Carl Blomqvist, Kristiina Aittomäki, Taru A. Muranen, Heli Nevanlinna, Peter Hillemanns, Michael Bremer, Peter Schürmann, Thilo Dörk, Ursula Eilber, Shan Wang-Gohrke, Jenny Chang-Claude, Thomas Brüning, Christina Justenhoven, Hiltrud Brauch, Rita K. Schmutzler, Claus R. Bartram, Michael Golatta, Alfons Meindl, Anne Langheinz, Volker Arndt, Heiko Müller, Hermann Brenner, Christina Clarke Dur, Leslie Bernstein, Argyrios Ziogas, Hoda Anton-Culver, M. Pilar Zamora, José-Ignacio Arias-Pérez, Javier Benítez, Roger L. Milne, Børge G Nordestgaard, Henrik Flyger, Sune F. Nielsen, Stig E Bojesen, Claire Mulot, Pierre Laurent-Puig, Thérèse Truong, Pascal Guénel, Christof Sohn, Andreas Schneeweiss, Frederik Marme, Barbara Burwinkel, Michael Kerin, Ian Tomlinson, Elinor J. Sawyer, Ruediger Schulz-Wendtland, Arif B. Ekici, Matthias W. Beckmann, Peter A. Fasching, Surapon Wiangnon, Arkom Chaiwerawattana, Artitaya Lophatananon, Kenneth R. Muir, Linda M. Braaf, Sten Cornelissen, Annegien Broeks, Marjanka K. Schmidt, Maryam Mahmoodi, Melissa C. Southey, Carmel Apicella, John L. Hopper, Nichola Johnson, Nick Orr, Olivia Fletcher, Frank Dudbridge, and Helen Warren
Abstract: Background: Our recent genome-wide association study identified a novel breast cancer susceptibility locus at 9q31.2 (rs865686).Methods: To further investigate the rs865686–breast cancer association, we conducted a replication study within the Breast Cancer Association Consortium, which comprises 37 case–control studies (48,394 cases, 50,836 controls).Results: This replication study provides additional strong evidence of an inverse association between rs865686 and breast cancer risk [study-adjusted per G-allele OR, 0.90; 95% confidence interval (CI), 0.88; 0.91, P = 2.01 × 10−29] among women of European ancestry. There were ethnic differences in the estimated minor (G)-allele frequency among controls [0.09, 0.30, and 0.38 among, respectively, Asians, Eastern Europeans, and other Europeans; P for heterogeneity (Phet) = 1.3 × 10−143], but no evidence of ethnic differences in per allele OR (Phet = 0.43). rs865686 was associated with estrogen receptor–positive (ER+) disease (per G-allele OR, 0.89; 95% CI, 0.86–0.91; P = 3.13 × 10−22) but less strongly, if at all, with ER-negative (ER−) disease (OR, 0.98; 95% CI, 0.94–1.02; P = 0.26; Phet = 1.16 × 10−6), with no evidence of independent heterogeneity by progesterone receptor or HER2 status. The strength of the breast cancer association decreased with increasing age at diagnosis, with case-only analysis showing a trend in the number of copies of the G allele with increasing age at diagnosis (P for linear trend = 0.0095), but only among women with ER+ tumors.Conclusions: This study is the first to show that rs865686 is a susceptibility marker for ER+ breast cancer.Impact: The findings further support the view that genetic susceptibility varies according to tumor subtype. Cancer Epidemiol Biomarkers Prev; 21(10); 1783–. ©2012 AACR.
Published: 2023

43. Supplementary Figure 2 from Temporal Stability and Determinants of White Blood Cell DNA Methylation in the Breakthrough Generations Study

Author: Montserrat Garcia-Closas, Robert Brown, Anthony Swerdlow, Alan Ashworth, Minouk J. Schoemaker, Michael E. Jones, Olivia Fletcher, Penny Coulson, Katarzyna Tomczyk, Nick Orr, Mark N. Brook, and James M. Flanagan
Abstract: Supplementary Figure 2. Associations between DNA methylation probes and weight
Published: 2023

44. Supplementary Figure Legends from Temporal Stability and Determinants of White Blood Cell DNA Methylation in the Breakthrough Generations Study

Author: Montserrat Garcia-Closas, Robert Brown, Anthony Swerdlow, Alan Ashworth, Minouk J. Schoemaker, Michael E. Jones, Olivia Fletcher, Penny Coulson, Katarzyna Tomczyk, Nick Orr, Mark N. Brook, and James M. Flanagan
Abstract: Supplementary Figure and Table Legends
Published: 2023

45. Supplementary Table 1 from 9q31.2-rs865686 as a Susceptibility Locus for Estrogen Receptor-Positive Breast Cancer: Evidence from the Breast Cancer Association Consortium

Author: Isabel dos-Santos-Silva, Julian Peto, Qin Wang, Manjeet Humphreys, Douglas F. Easton, Minouk Schoemaker, Michael Jones, Anthony Swerdlow, Alan Ashworth, Maya Ghoussaini, Alison M. Dunning, Fiona M. Blows, Paul Pharoah, Malcolm W.R. Reed, Ian W. Brock, Simon S. Cross, Angela Cox, Jingmei Li, Jianjun Liu, Kamila Czene, Per Hall, Madeleine M.A. Tilanus-Linthorst, Agnes Jager, Antoinette Hollestelle, Maartje J. Hooning, Caroline M. Seynaeve, John W.M. Martens, Robert A.E.M. Tollenaar, Peter Devilee, Nayana Weerasooriya, Anna Marie Mulligan, Julia A. Knight, Irene L. Andrulis, Mervi Grip, Arja Jukkola-Vuorinen, Katri Pylkäs, Robert Winqvist, Alexander Miron, Esther M. John, Gianluca Severi, Cariona A. McLean, Laura Baglietto, Graham Giles, Janet Olson, Xianshu Wang, Celine Vachon, Fergus J. Couch, Paolo Radice, Siranoush Manoukian, Loris Bernard, Paolo Peterlongo, Sabine Behrens, Katharina Buck, Dieter Flesch-Janys, Caroline Weltens, Robert Paridaens, Ann Smeets, Diether Lambrechts, Xiaoqing Chen, Jonathan Beesley, Georgia Chenevix-Trench, Vesa Kataja, Jaana M. Hartikainen, Veli-Matti Kosma, Arto Mannermaa, Sara Margolin, Annika Lindblom, Elza Khusnutdinova, Guzel Zinnatullina, Darya Prokofyeva, Marina Bermisheva, Yuriy Rogov, Natalia Antonenkova, Natalia Bogdanova, Carl Blomqvist, Kristiina Aittomäki, Taru A. Muranen, Heli Nevanlinna, Peter Hillemanns, Michael Bremer, Peter Schürmann, Thilo Dörk, Ursula Eilber, Shan Wang-Gohrke, Jenny Chang-Claude, Thomas Brüning, Christina Justenhoven, Hiltrud Brauch, Rita K. Schmutzler, Claus R. Bartram, Michael Golatta, Alfons Meindl, Anne Langheinz, Volker Arndt, Heiko Müller, Hermann Brenner, Christina Clarke Dur, Leslie Bernstein, Argyrios Ziogas, Hoda Anton-Culver, M. Pilar Zamora, José-Ignacio Arias-Pérez, Javier Benítez, Roger L. Milne, Børge G Nordestgaard, Henrik Flyger, Sune F. Nielsen, Stig E Bojesen, Claire Mulot, Pierre Laurent-Puig, Thérèse Truong, Pascal Guénel, Christof Sohn, Andreas Schneeweiss, Frederik Marme, Barbara Burwinkel, Michael Kerin, Ian Tomlinson, Elinor J. Sawyer, Ruediger Schulz-Wendtland, Arif B. Ekici, Matthias W. Beckmann, Peter A. Fasching, Surapon Wiangnon, Arkom Chaiwerawattana, Artitaya Lophatananon, Kenneth R. Muir, Linda M. Braaf, Sten Cornelissen, Annegien Broeks, Marjanka K. Schmidt, Maryam Mahmoodi, Melissa C. Southey, Carmel Apicella, John L. Hopper, Nichola Johnson, Nick Orr, Olivia Fletcher, Frank Dudbridge, and Helen Warren
Abstract: PDF file, 107K, Summary characteristics of the participating BCAC case-control studies.
Published: 2023

46. Supplementary Figures 1-5 from Intragenic ATM Methylation in Peripheral Blood DNA as a Biomarker of Breast Cancer Risk

Author: James M. Flanagan, Robert Brown, Kay-Tee Khaw, Rudolf Kaaks, Dimitrios Trichopoulos, N. Charlotte Onland-Moret, Salvatore Panico, Francoise Clavel-Chapelon, Miren Dorronsoro, Paolo Vineis, Elio Riboli, Heather Thorne, Anthony Swerdlow, Alan Ashworth, Michael Jones, Olivia Fletcher, Nick Orr, Montserrat Garcia-Closas, and Kevin Brennan
Abstract: PDF file - 207K
Published: 2023

47. Supplementary Figure 1 from Mitochondrial DNA Copy Number in Peripheral Blood Cells and Risk of Developing Breast Cancer

Author: Montserrat Garcia-Closas, Nick Orr, Anthony Swerdlow, Alan Ashworth, Michael Jones, Katarzyna Tomczyk, Penny Coulson, Olivia Fletcher, Mark N. Brook, and Alina Lemnrau
Abstract: Supplementary Figure 1. Correlation between mtDNA copy number (average of triplicate measurements) in two blood samples collected at baseline (T0) and follow up after ~6 years (T1) from 91 women in the Breakthrough Generations study.
Published: 2023

48. Supplementary Figure Legends 1-5, Tables 1-4 from Intragenic ATM Methylation in Peripheral Blood DNA as a Biomarker of Breast Cancer Risk

Author: James M. Flanagan, Robert Brown, Kay-Tee Khaw, Rudolf Kaaks, Dimitrios Trichopoulos, N. Charlotte Onland-Moret, Salvatore Panico, Francoise Clavel-Chapelon, Miren Dorronsoro, Paolo Vineis, Elio Riboli, Heather Thorne, Anthony Swerdlow, Alan Ashworth, Michael Jones, Olivia Fletcher, Nick Orr, Montserrat Garcia-Closas, and Kevin Brennan
Abstract: PDF file - 130K
Published: 2023

49. Supplementary Tables 1-3 from Mitochondrial DNA Copy Number in Peripheral Blood Cells and Risk of Developing Breast Cancer

Author: Montserrat Garcia-Closas, Nick Orr, Anthony Swerdlow, Alan Ashworth, Michael Jones, Katarzyna Tomczyk, Penny Coulson, Olivia Fletcher, Mark N. Brook, and Alina Lemnrau
Abstract: Supplementary Tables 1-3. Supplementary Table 1: PCR primers and thermal cycling conditions for the mtDNA copy number assay. Supplementary Table 2 Odds ratios (OR) and 95% confidence intervals (95%CI). Supplementary Table 3 Association between breast cancer risk and quartiles of mtDNA.
Published: 2023

50. Supplementary Figure 2 from Mitochondrial DNA Copy Number in Peripheral Blood Cells and Risk of Developing Breast Cancer

Author: Montserrat Garcia-Closas, Nick Orr, Anthony Swerdlow, Alan Ashworth, Michael Jones, Katarzyna Tomczyk, Penny Coulson, Olivia Fletcher, Mark N. Brook, and Alina Lemnrau
Abstract: Supplementary Figure 2. Odds ratios and 95% confidence intervals for the association between decides of mtDNA copy number and breast cancer risk
Published: 2023

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

Database

Publisher

173 results on '"Nick Orr"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources