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1. Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer‐specific survival

Author

Anna Morra, Maartje A. C. Schreurs, Irene L. Andrulis, Hoda Anton‐Culver, Annelie Augustinsson, Matthias W. Beckmann, Sabine Behrens, Stig E. Bojesen, Manjeet K. Bolla, Hiltrud Brauch, Annegien Broeks, Saundra S. Buys, Nicola J. Camp, Jose E. Castelao, Melissa H. Cessna, Jenny Chang‐Claude, Wendy K. Chung, NBCS Collaborators, Sarah V. Colonna, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Mary B. Daly, Joe Dennis, Peter Devilee, Thilo Dörk, Alison M. Dunning, Miriam Dwek, Douglas F. Easton, Diana M. Eccles, Mikael Eriksson, D. Gareth Evans, Peter A. Fasching, Tanja N. Fehm, Jonine D. Figueroa, Henrik Flyger, Marike Gabrielson, Manuela Gago‐Dominguez, Montserrat García‐Closas, José A. García‐Sáenz, Jeanine Genkinger, Felix Grassmann, Melanie Gündert, Eric Hahnen, Christopher A. Haiman, Ute Hamann, Patricia A. Harrington, Jaana M. Hartikainen, Reiner Hoppe, John L. Hopper, Richard S. Houlston, Anthony Howell, ABCTB Investigators, kConFab Investigators, Anna Jakubowska, Wolfgang Janni, Helena Jernström, Esther M. John, Nichola Johnson, Michael E. Jones, Vessela N. Kristensen, Allison W. Kurian, Diether Lambrechts, Loic Le Marchand, Annika Lindblom, Jan Lubiński, Michael P. Lux, Arto Mannermaa, Dimitrios Mavroudis, Anna Marie Mulligan, Taru A. Muranen, Heli Nevanlinna, Ines Nevelsteen, Patrick Neven, William G. Newman, Nadia Obi, Kenneth Offit, Andrew F. Olshan, Tjoung‐Won Park‐Simon, Alpa V. Patel, Paolo Peterlongo, Kelly‐Anne Phillips, Dijana Plaseska‐Karanfilska, Eric C. Polley, Nadege Presneau, Katri Pylkäs, Brigitte Rack, Paolo Radice, Muhammad U. Rashid, Valerie Rhenius, Mark Robson, Atocha Romero, Emmanouil Saloustros, Elinor J. Sawyer, Rita K. Schmutzler, Sabine Schuetze, Christopher Scott, Mitul Shah, Snezhana Smichkoska, Melissa C. Southey, William J. Tapper, Lauren R. Teras, Rob A. E. M. Tollenaar, Katarzyna Tomczyk, Ian Tomlinson, Melissa A. Troester, Celine M. Vachon, Elke M. vanVeen, Qin Wang, Camilla Wendt, Hans Wildiers, Robert Winqvist, Argyrios Ziogas, Per Hall, Paul D. P. Pharoah, Muriel A. Adank, Antoinette Hollestelle, Marjanka K. Schmidt, and Maartje J. Hooning

Subjects
CHEK2 c.1100delC germline genetic variant, contralateral breast cancer risk, radiotherapy, survival, systemic treatment, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background Breast cancer (BC) patients with a germline CHEK2 c.1100delC variant have an increased risk of contralateral BC (CBC) and worse BC‐specific survival (BCSS) compared to non‐carriers. Aim To assessed the associations of CHEK2 c.1100delC, radiotherapy, and systemic treatment with CBC risk and BCSS. Methods Analyses were based on 82,701 women diagnosed with a first primary invasive BC including 963 CHEK2 c.1100delC carriers; median follow‐up was 9.1 years. Differential associations with treatment by CHEK2 c.1100delC status were tested by including interaction terms in a multivariable Cox regression model. A multi‐state model was used for further insight into the relation between CHEK2 c.1100delC status, treatment, CBC risk and death. Results There was no evidence for differential associations of therapy with CBC risk by CHEK2 c.1100delC status. The strongest association with reduced CBC risk was observed for the combination of chemotherapy and endocrine therapy [HR (95% CI): 0.66 (0.55–0.78)]. No association was observed with radiotherapy. Results from the multi‐state model showed shorter BCSS for CHEK2 c.1100delC carriers versus non‐carriers also after accounting for CBC occurrence [HR (95% CI): 1.30 (1.09–1.56)]. Conclusion Systemic therapy was associated with reduced CBC risk irrespective of CHEK2 c.1100delC status. Moreover, CHEK2 c.1100delC carriers had shorter BCSS, which appears not to be fully explained by their CBC risk.

Published
2023
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2. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

Author

Stefanie H. Mueller, Alvina G. Lai, Maria Valkovskaya, Kyriaki Michailidou, Manjeet K. Bolla, Qin Wang, Joe Dennis, Michael Lush, Zomoruda Abu-Ful, Thomas U. Ahearn, Irene L. Andrulis, Hoda Anton-Culver, Natalia N. Antonenkova, Volker Arndt, Kristan J. Aronson, Annelie Augustinsson, Thais Baert, Laura E. Beane Freeman, Matthias W. Beckmann, Sabine Behrens, Javier Benitez, Marina Bermisheva, Carl Blomqvist, Natalia V. Bogdanova, Stig E. Bojesen, Bernardo Bonanni, Hermann Brenner, Sara Y. Brucker, Saundra S. Buys, Jose E. Castelao, Tsun L. Chan, Jenny Chang-Claude, Stephen J. Chanock, Ji-Yeob Choi, Wendy K. Chung, NBCS Collaborators, Sarah V. Colonna, CTS Consortium, Sten Cornelissen, Fergus J. Couch, Kamila Czene, Mary B. Daly, Peter Devilee, Thilo Dörk, Laure Dossus, Miriam Dwek, Diana M. Eccles, Arif B. Ekici, A. Heather Eliassen, Christoph Engel, D. Gareth Evans, Peter A. Fasching, Olivia Fletcher, Henrik Flyger, Manuela Gago-Dominguez, Yu-Tang Gao, Montserrat García-Closas, José A. García-Sáenz, Jeanine Genkinger, Aleksandra Gentry-Maharaj, Felix Grassmann, Pascal Guénel, Melanie Gündert, Lothar Haeberle, Eric Hahnen, Christopher A. Haiman, Niclas Håkansson, Per Hall, Elaine F. Harkness, Patricia A. Harrington, Jaana M. Hartikainen, Mikael Hartman, Alexander Hein, Weang-Kee Ho, Maartje J. Hooning, Reiner Hoppe, John L. Hopper, Richard S. Houlston, Anthony Howell, David J. Hunter, Dezheng Huo, ABCTB Investigators, Hidemi Ito, Motoki Iwasaki, Anna Jakubowska, Wolfgang Janni, Esther M. John, Michael E. Jones, Audrey Jung, Rudolf Kaaks, Daehee Kang, Elza K. Khusnutdinova, Sung-Won Kim, Cari M. Kitahara, Stella Koutros, Peter Kraft, Vessela N. Kristensen, Katerina Kubelka-Sabit, Allison W. Kurian, Ava Kwong, James V. Lacey, Diether Lambrechts, Loic Le Marchand, Jingmei Li, Martha Linet, Wing-Yee Lo, Jirong Long, Artitaya Lophatananon, Arto Mannermaa, Mehdi Manoochehri, Sara Margolin, Keitaro Matsuo, Dimitrios Mavroudis, Usha Menon, Kenneth Muir, Rachel A. Murphy, Heli Nevanlinna, William G. Newman, Dieter Niederacher, Katie M. O’Brien, Nadia Obi, Kenneth Offit, Olufunmilayo I. Olopade, Andrew F. Olshan, Håkan Olsson, Sue K. Park, Alpa V. Patel, Achal Patel, Charles M. Perou, Julian Peto, Paul D. P. Pharoah, Dijana Plaseska-Karanfilska, Nadege Presneau, Brigitte Rack, Paolo Radice, Dhanya Ramachandran, Muhammad U. Rashid, Gad Rennert, Atocha Romero, Kathryn J. Ruddy, Matthias Ruebner, Emmanouil Saloustros, Dale P. Sandler, Elinor J. Sawyer, Marjanka K. Schmidt, Rita K. Schmutzler, Michael O. Schneider, Christopher Scott, Mitul Shah, Priyanka Sharma, Chen-Yang Shen, Xiao-Ou Shu, Jacques Simard, Harald Surowy, Rulla M. Tamimi, William J. Tapper, Jack A. Taylor, Soo Hwang Teo, Lauren R. Teras, Amanda E. Toland, Rob A. E. M. Tollenaar, Diana Torres, Gabriela Torres-Mejía, Melissa A. Troester, Thérèse Truong, Celine M. Vachon, Joseph Vijai, Clarice R. Weinberg, Camilla Wendt, Robert Winqvist, Alicja Wolk, Anna H. Wu, Taiki Yamaji, Xiaohong R. Yang, Jyh-Cherng Yu, Wei Zheng, Argyrios Ziogas, Elad Ziv, Alison M. Dunning, Douglas F. Easton, Harry Hemingway, Ute Hamann, and Karoline B. Kuchenbaecker

Subjects
Breast cancer susceptibility, Diverse ancestry, Rare variants, Gene regulation, Genome-wide association study, Medicine, Genetics, QH426-470
Abstract

Abstract Background Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. Methods We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes’ coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry. Results In European ancestry samples, 14 genes were significantly associated (q

Published
2023
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3. 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
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4. 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
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5. A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers

Author

Juliette Coignard, Michael Lush, Jonathan Beesley, Tracy A. O’Mara, Joe Dennis, Jonathan P. Tyrer, Daniel R. Barnes, Lesley McGuffog, Goska Leslie, Manjeet K. Bolla, Muriel A. Adank, Simona Agata, Thomas Ahearn, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Norbert Arnold, Kristan J. Aronson, Banu K. Arun, Annelie Augustinsson, Jacopo Azzollini, Daniel Barrowdale, Caroline Baynes, Heko Becher, Marina Bermisheva, Leslie Bernstein, Katarzyna Białkowska, Carl Blomqvist, Stig E. Bojesen, Bernardo Bonanni, Ake Borg, Hiltrud Brauch, Hermann Brenner, Barbara Burwinkel, Saundra S. Buys, Trinidad Caldés, Maria A. Caligo, Daniele Campa, Brian D. Carter, Jose E. Castelao, Jenny Chang-Claude, Stephen J. Chanock, Wendy K. Chung, Kathleen B. M. Claes, Christine L. Clarke, GEMO Study Collaborators, EMBRACE Collaborators, J. Margriet Collée, Don M. Conroy, Kamila Czene, Mary B. Daly, Peter Devilee, Orland Diez, Yuan Chun Ding, Susan M. Domchek, Thilo Dörk, Isabel dos-Santos-Silva, Alison M. Dunning, Miriam Dwek, Diana M. Eccles, A. Heather Eliassen, Christoph Engel, Mikael Eriksson, D. Gareth Evans, Peter A. Fasching, Henrik Flyger, Florentia Fostira, Eitan Friedman, Lin Fritschi, Debra Frost, Manuela Gago-Dominguez, Susan M. Gapstur, Judy Garber, Vanesa Garcia-Barberan, Montserrat García-Closas, José A. García-Sáenz, Mia M. Gaudet, Simon A. Gayther, Andrea Gehrig, Vassilios Georgoulias, Graham G. Giles, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Mark H. Greene, Pascal Guénel, Lothar Haeberle, Eric Hahnen, Christopher A. Haiman, Niclas Håkansson, Per Hall, Ute Hamann, Patricia A. Harrington, Steven N. Hart, Wei He, Frans B. L. Hogervorst, Antoinette Hollestelle, John L. Hopper, Darling J. Horcasitas, Peter J. Hulick, David J. Hunter, Evgeny N. Imyanitov, KConFab Investigators, HEBON Investigators, ABCTB Investigators, Agnes Jager, Anna Jakubowska, Paul A. James, Uffe Birk Jensen, Esther M. John, Michael E. Jones, Rudolf Kaaks, Pooja Middha Kapoor, Beth Y. Karlan, Renske Keeman, Elza Khusnutdinova, Johanna I. Kiiski, Yon-Dschun Ko, Veli-Matti Kosma, Peter Kraft, Allison W. Kurian, Yael Laitman, Diether Lambrechts, Loic Le Marchand, Jenny Lester, Fabienne Lesueur, Tricia Lindstrom, Adria Lopez-Fernández, Jennifer T. Loud, Craig Luccarini, Arto Mannermaa, Siranoush Manoukian, Sara Margolin, John W. M. Martens, Noura Mebirouk, Alfons Meindl, Austin Miller, Roger L. Milne, Marco Montagna, Katherine L. Nathanson, Susan L. Neuhausen, Heli Nevanlinna, Finn C. Nielsen, Katie M. O’Brien, Olufunmilayo I. Olopade, Janet E. Olson, Håkan Olsson, Ana Osorio, Laura Ottini, Tjoung-Won Park-Simon, Michael T. Parsons, Inge Sokilde Pedersen, Beth Peshkin, Paolo Peterlongo, Julian Peto, Paul D. P. Pharoah, Kelly-Anne Phillips, Eric C. Polley, Bruce Poppe, Nadege Presneau, Miquel Angel Pujana, Kevin Punie, Paolo Radice, Johanna Rantala, Muhammad U. Rashid, Gad Rennert, Hedy S. Rennert, Mark Robson, Atocha Romero, Maria Rossing, Emmanouil Saloustros, Dale P. Sandler, Regina Santella, Maren T. Scheuner, Marjanka K. Schmidt, Gunnar Schmidt, Christopher Scott, Priyanka Sharma, Penny Soucy, Melissa C. Southey, John J. Spinelli, Zoe Steinsnyder, Jennifer Stone, Dominique Stoppa-Lyonnet, Anthony Swerdlow, Rulla M. Tamimi, William J. Tapper, Jack A. Taylor, Mary Beth Terry, Alex Teulé, Darcy L. Thull, Marc Tischkowitz, Amanda E. Toland, Diana Torres, Alison H. Trainer, Thérèse Truong, Nadine Tung, Celine M. Vachon, Ana Vega, Joseph Vijai, Qin Wang, Barbara Wappenschmidt, Clarice R. Weinberg, Jeffrey N. Weitzel, Camilla Wendt, Alicja Wolk, Siddhartha Yadav, Xiaohong R. Yang, Drakoulis Yannoukakos, Wei Zheng, Argyrios Ziogas, Kristin K. Zorn, Sue K. Park, Mads Thomassen, Kenneth Offit, Rita K. Schmutzler, Fergus J. Couch, Jacques Simard, Georgia Chenevix-Trench, Douglas F. Easton, Nadine Andrieu, and Antonis C. Antoniou

Subjects
Science
Abstract

Breast cancer risk for BRCA1/BRCA2 mutation carriers varies depending on other genetic factors. Here, the authors perform a case-only genome-wide association study and highlight novel loci associated with breast cancer risk for BRCA1/BRCA2 mutation carriers.

Published
2021
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6. 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
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7. Prediction and clinical utility of a contralateral breast cancer risk model

Author

Daniele Giardiello, Ewout W. Steyerberg, Michael Hauptmann, Muriel A. Adank, Delal Akdeniz, Carl Blomqvist, Stig E. Bojesen, Manjeet K. Bolla, Mariël Brinkhuis, Jenny Chang-Claude, Kamila Czene, Peter Devilee, Alison M. Dunning, Douglas F. Easton, Diana M. Eccles, Peter A. Fasching, Jonine Figueroa, Henrik Flyger, Montserrat García-Closas, Lothar Haeberle, Christopher A. Haiman, Per Hall, Ute Hamann, John L. Hopper, Agnes Jager, Anna Jakubowska, Audrey Jung, Renske Keeman, Iris Kramer, Diether Lambrechts, Loic Le Marchand, Annika Lindblom, Jan Lubiński, Mehdi Manoochehri, Luigi Mariani, Heli Nevanlinna, Hester S. A. Oldenburg, Saskia Pelders, Paul D. P. Pharoah, Mitul Shah, Sabine Siesling, Vincent T. H. B. M. Smit, Melissa C. Southey, William J. Tapper, Rob A. E. M. Tollenaar, Alexandra J. van den Broek, Carolien H. M. van Deurzen, Flora E. van Leeuwen, Chantal van Ongeval, Laura J. Van’t Veer, Qin Wang, Camilla Wendt, Pieter J. Westenend, Maartje J. Hooning, and Marjanka K. Schmidt

Subjects
Contralateral breast cancer, Risk prediction model, Clinical decision-making, BRCA mutation carriers, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background Breast cancer survivors are at risk for contralateral breast cancer (CBC), with the consequent burden of further treatment and potentially less favorable prognosis. We aimed to develop and validate a CBC risk prediction model and evaluate its applicability for clinical decision-making. Methods We included data of 132,756 invasive non-metastatic breast cancer patients from 20 studies with 4682 CBC events and a median follow-up of 8.8 years. We developed a multivariable Fine and Gray prediction model (PredictCBC-1A) including patient, primary tumor, and treatment characteristics and BRCA1/2 germline mutation status, accounting for the competing risks of death and distant metastasis. We also developed a model without BRCA1/2 mutation status (PredictCBC-1B) since this information was available for only 6% of patients and is routinely unavailable in the general breast cancer population. Prediction performance was evaluated using calibration and discrimination, calculated by a time-dependent area under the curve (AUC) at 5 and 10 years after diagnosis of primary breast cancer, and an internal-external cross-validation procedure. Decision curve analysis was performed to evaluate the net benefit of the model to quantify clinical utility. Results In the multivariable model, BRCA1/2 germline mutation status, family history, and systemic adjuvant treatment showed the strongest associations with CBC risk. The AUC of PredictCBC-1A was 0.63 (95% prediction interval (PI) at 5 years, 0.52–0.74; at 10 years, 0.53–0.72). Calibration-in-the-large was -0.13 (95% PI: -1.62–1.37), and the calibration slope was 0.90 (95% PI: 0.73–1.08). The AUC of Predict-1B at 10 years was 0.59 (95% PI: 0.52–0.66); calibration was slightly lower. Decision curve analysis for preventive contralateral mastectomy showed potential clinical utility of PredictCBC-1A between thresholds of 4–10% 10-year CBC risk for BRCA1/2 mutation carriers and non-carriers. Conclusions We developed a reasonably calibrated model to predict the risk of CBC in women of European-descent; however, prediction accuracy was moderate. Our model shows potential for improved risk counseling, but decision-making regarding contralateral preventive mastectomy, especially in the general breast cancer population where limited information of the mutation status in BRCA1/2 is available, remains challenging.

Published
2019
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8. Development of childhood asthma prediction models using machine learning approaches

Author

Dilini M. Kothalawala, Clare S. Murray, Angela Simpson, Adnan Custovic, William J. Tapper, S. Hasan Arshad, John W. Holloway, Faisal I. Rezwan, and STELAR/UNICORN investigators

Subjects
Asthma, Kindheit, maschinelles Lernen, Prognose, Immunologic diseases. Allergy, RC581-607
Abstract

Abstract Background Respiratory symptoms are common in early life and often transient. It is difficult to identify in which children these will persist and result in asthma. Machine learning (ML) approaches have the potential for better predictive performance and generalisability over existing childhood asthma prediction models. This study applied ML approaches to predict school‐age asthma (age 10) in early life (Childhood Asthma Prediction in Early life, CAPE model) and at preschool age (Childhood Asthma Prediction at Preschool age, CAPP model). Methods Clinical and environmental exposure data was collected from children enrolled in the Isle of Wight Birth Cohort (N = 1368, ∼15% asthma prevalence). Recursive Feature Elimination (RFE) identified an optimal subset of features predictive of school‐age asthma for each model. Seven state‐of‐the‐art ML classification algorithms were used to develop prognostic models. Training was performed by applying fivefold cross‐validation, imputation, and resampling. Predictive performance was evaluated on the test set. Models were further externally validated in the Manchester Asthma and Allergy Study (MAAS) cohort. Results RFE identified eight and twelve predictors for the CAPE and CAPP models, respectively. Support Vector Machine (SVM) algorithms provided the best performance for both the CAPE (area under the receiver operating characteristic curve, AUC = 0.71) and CAPP (AUC = 0.82) models. Both models demonstrated good generalisability in MAAS (CAPE 8‐year = 0.71, 11‐year = 0.71, CAPP 8‐year = 0.83, 11‐year = 0.79) and excellent sensitivity to predict a subgroup of persistent wheezers. Conclusion Using ML approaches improved upon the predictive performance of existing regression‐based models, with good generalisability and ability to rule in asthma and predict persistent wheeze.

Published
2021
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9. Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer

Author

Manuel A. Ferreira, Eric R. Gamazon, Fares Al-Ejeh, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton-Culver, Adalgeir Arason, Volker Arndt, Kristan J. Aronson, Banu K. Arun, Ella Asseryanis, Jacopo Azzollini, Judith Balmaña, Daniel R. Barnes, Daniel Barrowdale, Matthias W. Beckmann, Sabine Behrens, Javier Benitez, Marina Bermisheva, Katarzyna Białkowska, Carl Blomqvist, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Ake Borg, Hiltrud Brauch, Hermann Brenner, Annegien Broeks, Barbara Burwinkel, Trinidad Caldés, Maria A. Caligo, Daniele Campa, Ian Campbell, Federico Canzian, Jonathan Carter, Brian D. Carter, Jose E. Castelao, Jenny Chang-Claude, Stephen J. Chanock, Hans Christiansen, Wendy K. Chung, Kathleen B. M. Claes, Christine L. Clarke, EMBRACE Collaborators, GC-HBOC Study Collaborators, GEMO Study Collaborators, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Mary B. Daly, Miguel de la Hoya, Joe Dennis, Peter Devilee, Orland Diez, Thilo Dörk, Alison M. Dunning, Miriam Dwek, Diana M. Eccles, Bent Ejlertsen, Carolina Ellberg, Christoph Engel, Mikael Eriksson, Peter A. Fasching, Olivia Fletcher, Henrik Flyger, Eitan Friedman, Debra Frost, Marike Gabrielson, Manuela Gago-Dominguez, Patricia A. Ganz, Susan M. Gapstur, Judy Garber, Montserrat García-Closas, José A. García-Sáenz, Mia M. Gaudet, Graham G. Giles, Gord Glendon, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Mark H. Greene, Jacek Gronwald, Pascal Guénel, Christopher A. Haiman, Per Hall, Ute Hamann, Wei He, Jane Heyworth, Frans B. L. Hogervorst, Antoinette Hollestelle, Robert N. Hoover, John L. Hopper, Peter J. Hulick, Keith Humphreys, Evgeny N. Imyanitov, ABCTB Investigators, HEBON Investigators, BCFR Investigators, Claudine Isaacs, Milena Jakimovska, Anna Jakubowska, Paul A. James, Ramunas Janavicius, Rachel C. Jankowitz, Esther M. John, Nichola Johnson, Vijai Joseph, Beth Y. Karlan, Elza Khusnutdinova, Johanna I. Kiiski, Yon-Dschun Ko, Michael E. Jones, Irene Konstantopoulou, Vessela N. Kristensen, Yael Laitman, Diether Lambrechts, Conxi Lazaro, Goska Leslie, Jenny Lester, Fabienne Lesueur, Sara Lindström, Jirong Long, Jennifer T. Loud, Jan Lubiński, Enes Makalic, Arto Mannermaa, Mehdi Manoochehri, Sara Margolin, Tabea Maurer, Dimitrios Mavroudis, Lesley McGuffog, Alfons Meindl, Usha Menon, Kyriaki Michailidou, Austin Miller, Marco Montagna, Fernando Moreno, Lidia Moserle, Anna Marie Mulligan, Katherine L. Nathanson, Susan L. Neuhausen, Heli Nevanlinna, Ines Nevelsteen, Finn C. Nielsen, Liene Nikitina-Zake, Robert L. Nussbaum, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Håkan Olsson, Ana Osorio, Janos Papp, Tjoung-Won Park-Simon, Michael T. Parsons, Inge Sokilde Pedersen, Ana Peixoto, Paolo Peterlongo, Paul D. P. Pharoah, Dijana Plaseska-Karanfilska, Bruce Poppe, Nadege Presneau, Paolo Radice, Johanna Rantala, Gad Rennert, Harvey A. Risch, Emmanouil Saloustros, Kristin Sanden, Elinor J. Sawyer, Marjanka K. Schmidt, Rita K. Schmutzler, Priyanka Sharma, Xiao-Ou Shu, Jacques Simard, Christian F. Singer, Penny Soucy, Melissa C. Southey, John J. Spinelli, Amanda B. Spurdle, Jennifer Stone, Anthony J. Swerdlow, William J. Tapper, Jack A. Taylor, Manuel R. Teixeira, Mary Beth Terry, Alex Teulé, Mads Thomassen, Kathrin Thöne, Darcy L. Thull, Marc Tischkowitz, Amanda E. Toland, Diana Torres, Thérèse Truong, Nadine Tung, Celine M. Vachon, Christi J. van Asperen, Ans M. W. van den Ouweland, Elizabeth J. van Rensburg, Ana Vega, Alessandra Viel, Qin Wang, Barbara Wappenschmidt, Jeffrey N. Weitzel, Camilla Wendt, Robert Winqvist, Xiaohong R. Yang, Drakoulis Yannoukakos, Argyrios Ziogas, Peter Kraft, Antonis C. Antoniou, Wei Zheng, Douglas F. Easton, Roger L. Milne, Jonathan Beesley, and Georgia Chenevix-Trench

Subjects
Science
Abstract

Over 170 susceptibility loci have been identified by genome-wide association studies in breast cancer. Here, the authors interrogated the role of risk-associated variants from non-breast tissue, and using expression quantitative trait loci, identify potential target genes of known breast cancer susceptibility variants, as well as 11 regions not previously known to be associated with breast cancer risk.

Published
2019
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10. Author Correction: A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers

Author

Juliette Coignard, Michael Lush, Jonathan Beesley, Tracy A. O’Mara, Joe Dennis, Jonathan P. Tyrer, Daniel R. Barnes, Lesley McGuffog, Goska Leslie, Manjeet K. Bolla, Muriel A. Adank, Simona Agata, Thomas Ahearn, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Norbert Arnold, Kristan J. Aronson, Banu K. Arun, Annelie Augustinsson, Jacopo Azzollini, Daniel Barrowdale, Caroline Baynes, Heko Becher, Marina Bermisheva, Leslie Bernstein, Katarzyna Białkowska, Carl Blomqvist, Stig E. Bojesen, Bernardo Bonanni, Ake Borg, Hiltrud Brauch, Hermann Brenner, Barbara Burwinkel, Saundra S. Buys, Trinidad Caldés, Maria A. Caligo, Daniele Campa, Brian D. Carter, Jose E. Castelao, Jenny Chang-Claude, Stephen J. Chanock, Wendy K. Chung, Kathleen B. M. Claes, Christine L. Clarke, GEMO Study Collaborators, EMBRACE Collaborators, J. Margriet Collée, Don M. Conroy, Kamila Czene, Mary B. Daly, Peter Devilee, Orland Diez, Yuan Chun Ding, Susan M. Domchek, Thilo Dörk, Isabel dos-Santos-Silva, Alison M. Dunning, Miriam Dwek, Diana M. Eccles, A. Heather Eliassen, Christoph Engel, Mikael Eriksson, D. Gareth Evans, Peter A. Fasching, Henrik Flyger, Florentia Fostira, Eitan Friedman, Lin Fritschi, Debra Frost, Manuela Gago-Dominguez, Susan M. Gapstur, Judy Garber, Vanesa Garcia-Barberan, Montserrat García-Closas, José A. García-Sáenz, Mia M. Gaudet, Simon A. Gayther, Andrea Gehrig, Vassilios Georgoulias, Graham G. Giles, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Mark H. Greene, Pascal Guénel, Lothar Haeberle, Eric Hahnen, Christopher A. Haiman, Niclas Håkansson, Per Hall, Ute Hamann, Patricia A. Harrington, Steven N. Hart, Wei He, Frans B. L. Hogervorst, Antoinette Hollestelle, John L. Hopper, Darling J. Horcasitas, Peter J. Hulick, David J. Hunter, Evgeny N. Imyanitov, KConFab Investigators, HEBON Investigators, ABCTB Investigators, Agnes Jager, Anna Jakubowska, Paul A. James, Uffe Birk Jensen, Esther M. John, Michael E. Jones, Rudolf Kaaks, Pooja Middha Kapoor, Beth Y. Karlan, Renske Keeman, Elza Khusnutdinova, Johanna I. Kiiski, Yon-Dschun Ko, Veli-Matti Kosma, Peter Kraft, Allison W. Kurian, Yael Laitman, Diether Lambrechts, Loic Le Marchand, Jenny Lester, Fabienne Lesueur, Tricia Lindstrom, Adria Lopez-Fernández, Jennifer T. Loud, Craig Luccarini, Arto Mannermaa, Siranoush Manoukian, Sara Margolin, John W. M. Martens, Noura Mebirouk, Alfons Meindl, Austin Miller, Roger L. Milne, Marco Montagna, Katherine L. Nathanson, Susan L. Neuhausen, Heli Nevanlinna, Finn C. Nielsen, Katie M. O’Brien, Olufunmilayo I. Olopade, Janet E. Olson, Håkan Olsson, Ana Osorio, Laura Ottini, Tjoung-Won Park-Simon, Michael T. Parsons, Inge Sokilde Pedersen, Beth Peshkin, Paolo Peterlongo, Julian Peto, Paul D. P. Pharoah, Kelly-Anne Phillips, Eric C. Polley, Bruce Poppe, Nadege Presneau, Miquel Angel Pujana, Kevin Punie, Paolo Radice, Johanna Rantala, Muhammad U. Rashid, Gad Rennert, Hedy S. Rennert, Mark Robson, Atocha Romero, Maria Rossing, Emmanouil Saloustros, Dale P. Sandler, Regina Santella, Maren T. Scheuner, Marjanka K. Schmidt, Gunnar Schmidt, Christopher Scott, Priyanka Sharma, Penny Soucy, Melissa C. Southey, John J. Spinelli, Zoe Steinsnyder, Jennifer Stone, Dominique Stoppa-Lyonnet, Anthony Swerdlow, Rulla M. Tamimi, William J. Tapper, Jack A. Taylor, Mary Beth Terry, Alex Teulé, Darcy L. Thull, Marc Tischkowitz, Amanda E. Toland, Diana Torres, Alison H. Trainer, Thérèse Truong, Nadine Tung, Celine M. Vachon, Ana Vega, Joseph Vijai, Qin Wang, Barbara Wappenschmidt, Clarice R. Weinberg, Jeffrey N. Weitzel, Camilla Wendt, Alicja Wolk, Siddhartha Yadav, Xiaohong R. Yang, Drakoulis Yannoukakos, Wei Zheng, Argyrios Ziogas, Kristin K. Zorn, Sue K. Park, Mads Thomassen, Kenneth Offit, Rita K. Schmutzler, Fergus J. Couch, Jacques Simard, Georgia Chenevix-Trench, Douglas F. Easton, Nadine Andrieu, and Antonis C. Antoniou

Subjects
Science
Abstract

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

Published
2021
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12. Age-related loss of chromosome Y is associated with levels of sex hormone binding globulin and clonal hematopoiesis defined by TET2 , TP53 , and CBL mutations

Author

Ahmed A. Z. Dawoud, William J. Tapper, and Nicholas C. P. Cross

Subjects
Multidisciplinary
Abstract

Mosaic loss of the Y-chromosome (LOY) in peripheral blood leukocytes is the most common somatic alteration in men and linked to wide range of malignant and nonmalignant conditions. LOY is associated with age, smoking, and constitutional genetics. Here, we aimed to assess the relationships between LOY, serum biomarkers, and clonal hematopoiesis (CH). LOY in U.K. Biobank was strongly associated with levels of sex hormone binding globulin (SHBG), a key regulator of testosterone bioavailability. Mendelian randomization suggested a causal effect of SHBG on LOY but there was no evidence for an effect of LOY on SHBG. In contrast, age-related CH defined by somatic driver mutations was not associated with SHBG but was associated with LOY at clonal fractions above 30%. TET2 , TP53 , and CBL mutations were enriched in LOY cases, but JAK2 V617F was depleted. Our findings thus identify independent relationships between LOY, sex hormone levels, and CH.

Published
2023

17. Supplementary Methods, References, Legends for Table 1 and Figure 1 from Gender Disparities in the Tumor Genetics and Clinical Outcome of Multiple Myeloma

Author

Gareth J. Morgan, Faith E. Davies, Alex J. Szubert, Walter M. Gregory, Christopher P. Wardell, Brian A. Walker, William J. Tapper, Zoe J. Konn, GianPaolo Dagrada, Laura Chiecchio, Fiona M. Ross, and Kevin D. Boyd

Abstract

Supplementary Methods, References, Legends for Table 1 and Figure 1 from Gender Disparities in the Tumor Genetics and Clinical Outcome of Multiple Myeloma

Published
2023

18. Data from Mapping of Chromosome 1p Deletions in Myeloma Identifies FAM46C at 1p12 and CDKN2C at 1p32.3 as Being Genes in Regions Associated with Adverse Survival

Author

Gareth J. Morgan, Faith E. Davies, J. Anthony Child, Graham H. Jackson, Walter M. Gregory, Zoe J. Konn, GianPaolo Dagrada, Laura Chiecchio, William J. Tapper, Christopher P. Wardell, Brian A. Walker, Fiona M. Ross, and Kevin D. Boyd

Abstract

Purpose: Regions on 1p with recurrent deletions in presenting myeloma patients were examined with the purpose of defining the deletions and assessing their survival impact.Experimental Design: Gene mapping, gene expression, FISH, and mutation analyses were conducted on patient samples from the MRC Myeloma IX trial and correlated with clinical outcome data.Results: 1p32.3 was deleted in 11% of cases, and deletion was strongly associated with impaired overall survival (OS) in patients treated with autologous stem cell transplant (ASCT). In patients treated less intensively, del(1)(p32.3) was not associated with adverse progression-free survival (PFS) or OS. The target of homozygous deletions was CDKN2C, however its role in the adverse outcome of cases with hemizygous deletion was less certain. 1p22.1-21.2 was the most frequently deleted region and contained the candidate genes MTF2 and TMED5. No mutations were identified in these genes. 1p12 was deleted in 19% of cases, and deletion was associated with impaired OS in univariate analysis. The target of homozygous deletion was FAM46C, which was mutated in 3.4% of cases. When cases with FAM46C deletion or mutation were considered together, they were strongly associated with impaired OS in the intensive treatment setting.Conclusion: Deletion of 1p32.3 and 1p12 was associated with impaired OS in myeloma patients receiving ASCT. FAM46C was identified as a gene with potential pathogenic and prognostic significance based on the occurrence of recurrent homozygous deletions and mutations. Clin Cancer Res; 17(24); 7776–84. ©2011 AACR.

Published
2023

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

Author

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

Abstract

PDDF file - 167K

Published
2023

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

Author

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

Subjects
Cancer Research, Breast Neoplasms/pathology, Manchester Cancer Research Centre, Receptor, ErbB-2, Receptors, Progesterone/metabolism, ResearchInstitutes_Networks_Beacons/mcrc, ADJUVANT TAMOXIFEN, 3122 Cancers, Receptor, ErbB-2/metabolism, Breast Neoplasms, PREDICT Breast, Prognosis, THERAPY, Progesterone receptor, Breast cancer, breast cancer, ESTROGEN-RECEPTOR, Oncology, SDG 3 - Good Health and Well-being, Humans, Female, CANCER PATIENTS, Receptors, Progesterone, Progesterone
Abstract

Background: Predict Breast (www.predict.nhs.uk) is an online prognostication and treatment benefit tool for early invasive breast cancer. The aim of this study was to incorporate the prognostic effect of progesterone receptor (PR) status into a new version of PREDICT and to compare its performance to the current version (2.2).Method: The prognostic effect of PR status was based on the analysis of data from 45,088 European patients with breast cancer from 49 studies in the Breast Cancer Association Consortium. Cox proportional hazard models were used to estimate the hazard ratio for PR status. Data from a New Zealand study of 11,365 patients with early invasive breast cancer were used for external validation. Model calibration and discrimination were used to test the model performance.Results: Having a PR-positive tumour was associated with a 23% and 28% lower risk of dying from breast cancer for women with oestrogen receptor (ER)-negative and ER-positive breast cancer, respectively. The area under the ROC curve increased with the addition of PR status from 0.807 to 0.809 for patients with ER-negative tumours (p = 0.023) and from 0.898 to 0. 902 for patients with ER-positive tumours (p = 2.3 x 10(-6)) in the New Zealand cohort. Model calibration was modest with 940 observed deaths compared to 1151 predicted.Conclusion: The inclusion of the prognostic effect of PR status to PREDICT Breast has led to an improvement of model performance and more accurate absolute treatment benefit predic-tions for individual patients. Further studies should determine whether the baseline hazard function requires recalibration. (C) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Published
2022

23. Breast cancer risk factors and survival by tumor subtype

Author

Päivi Auvinen, Hoda Anton-Culver, Stig E. Bojesen, Gad Rennert, Christos Petridis, Taru A. Muranen, Lukas Schwentner, Jenny Chang-Claude, Chen-Yang Shen, Melissa A. Troester, Sara Y. Brucker, Miriam Dwek, Jingmei Li, Nadia Obi, Montserrat Garcia-Closas, Soo Hwang Teo, Pascal Guénel, Hidemi Ito, Sabine Behrens, Rulla M. Tamimi, Melissa C. Southey, Michelle D. Holmes, Christopher A. Haiman, Henrik Flyger, Roger L. Milne, Per Hall, Jyh-Cherng Yu, Thomas U. Ahearn, William G. Newman, D. Gareth Evans, Dong-Young Noh, Qin Wang, Robert Winqvist, Tjoung-Won Park-Simon, Angela Cox, Dimitrios Mavroudis, Federico Canzian, Celine M. Vachon, Annelie Augustinsson, Shivaani Mariapun, Keitaro Matsuo, Mia M. Gaudet, Anna Jakubowska, Loic Le Marchand, Rob A. E. M. Tollenaar, Paul D.P. Pharoah, Mikael Hartman, Jane Heyworth, Alison M. Dunning, Daniele Campa, Keun-Young Yoo, Anna Morra, Sileny Han, Anna H. Wu, David J. Hunter, Laura E. Beane Freeman, Mehdi Manoochehri, Volker Arndt, Elinor J. Sawyer, Peter A. Fasching, Alicja Wolk, Xiao-Ou Shu, José A. García-Sáenz, Hermann Brenner, Børge G. Nordestgaard, Pooja Middha Kapoor, Diether Lambrechts, Kamila Czene, Marjanka K. Schmidt, Nadege Presneau, Stephen J. Chanock, Mervi Grip, Ignacio Briceño, Stella Koutros, Nicola J. Camp, Kathleen M. Egan, Wei Zheng, Reiner Hoppe, Simon S. Cross, James V. Lacey, Manjeet K. Bolla, Cari M. Kitahara, Annika Lindblom, Carl Blomqvist, William J. Tapper, Diana Torres, Jan Lubinski, Milena Jakimovska, Vessela N. Kristensen, Jose E. Castelao, Graham G. Giles, Andrew F. Olshan, John L. Hopper, A. Heather Eliassen, Valerie Rhenius, Christopher G. Scott, Agnes Jager, Thilo Dörk, Justin A. Williams, Ian Tomlinson, Emmanouil Saloustros, Ji Yeob Choi, Dijana Plaseska-Karanfilska, Thérèse Truong, Audrey Y. Jung, Daehee Kang, Argyrios Ziogas, Peter Kraft, Arto Mannermaa, Rudolf Kaaks, Heiko Becher, Wolfgang Janni, Niclas Håkansson, Steven N. Hart, Xiaohong R. Yang, Håkan Olsson, Fergus J. Couch, Renske Keeman, Ute Hamann, Atocha Romero, Daniel O. Stram, Andreas Schneeweiss, Susan M. Gapstur, Michael Lush, Diana Eccles, Sara Margolin, Hedy S. Rennert, Muhammad Usman Rashid, Mitul Shah, Matthias W. Beckmann, Sophia S. Wang, Douglas F. Easton, Manuela Gago-Dominguez, Christine L. Clarke, and Medical Oncology

Subjects
0301 basic medicine, Oncology, Adult, medicine.medical_specialty, Epidemiology, Estrogen receptor, Breast Neoplasms, Article, 03 medical and health sciences, Aged, Cause of Death, Female, Humans, Middle Aged, Neoplasm Invasiveness, Neoplasm Staging, Prospective Studies, Risk Factors, Survival Analysis, Life Style, 0302 clinical medicine, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, medicine, business.industry, Proportional hazards model, Cancer, medicine.disease, Confidence interval, 3. Good health, Tumor Subtype, 030104 developmental biology, Clinical research, 030220 oncology & carcinogenesis, business, Body mass index
Abstract

Background: It is not known whether modifiable lifestyle factors that predict survival after invasive breast cancer differ by subtype. Methods: We analyzed data for 121,435 women diagnosed with breast cancer from 67 studies in the Breast Cancer Association Consortium with 16,890 deaths (8,554 breast cancer specific) over 10 years. Cox regression was used to estimate associations between risk factors and 10-year all-cause mortality and breast cancer–specific mortality overall, by estrogen receptor (ER) status, and by intrinsic-like subtype. Results: There was no evidence of heterogeneous associations between risk factors and mortality by subtype (Padj > 0.30). The strongest associations were between all-cause mortality and BMI ≥30 versus 18.5–25 kg/m2 [HR (95% confidence interval (CI), 1.19 (1.06–1.34)]; current versus never smoking [1.37 (1.27–1.47)], high versus low physical activity [0.43 (0.21–0.86)], age ≥30 years versus 0– Conclusions: We confirm associations between modifiable lifestyle factors and 10-year all-cause mortality. There was no strong evidence that associations differed by ER status or intrinsic-like subtype. Impact: Given the large dataset and lack of evidence that associations between modifiable risk factors and 10-year mortality differed by subtype, these associations could be cautiously used in prognostication models to inform patient-centered care.

Published
2021

25. Predicting pancreatic cancer in the UK Biobank cohort using polygenic risk scores and diabetes mellitus

Author

Shreya Sharma, William J. Tapper, Andrew Collins, and Zaed Z.R. Hamady

Subjects
Pancreatic Neoplasms, Hepatology, Risk Factors, Diabetes Mellitus, Gastroenterology, Humans, United Kingdom, Biological Specimen Banks, Carcinoma, Pancreatic Ductal
Abstract

Background & aims: diabetes mellitus (DM) is known to be associated with pancreatic ductal adenocarcinoma (PDAC), particularly new-onset DM (NODM). Others have developed polygenic risk scores (PRS) associated with PDAC risk. We aimed to compare the performance of these PRS in an independent cohort to determine if they can discriminate between NODM and long-standing DM patients with PDAC. Methods: cases (1042) and matched cancer-free controls (10,420) were drawn from the UK Biobank. Five PRS models were calculated using single nucleotide polymorphisms (SNPs) from previous studies (Nakatochi, Galeotti, Molina, Jia, and Rashkin) and a combination of these. Regression models were used to assess the association between PDAC and PRS adjusted for ancestry, smoking, DM, waist circumference, and family history of digestive cancer. Receiver operator characteristic curves and area under the curve metrics (AUC) were used to assess the performance of each PRS for classifying PDAC risk. Results: the combined PRS model achieved the highest AUC (0.605), and significantly improved a clinical risk model in this cohort (AUC = 0.83; P = .0002). Individuals within the fifth quintile have a 2.74-fold increased risk of developing PDAC vs those in the first quintile (P < .001), and have a 3.05-fold increased risk of developing PDAC if they have DM vs those without DM (P < .001). The positive predictive value was 11.9% in participants without DM, 23.9% with long-standing DM, and 86.7% with NODM. Conclusions: the PDAC-related common genetic variants are more strongly associated with DM. This PRS has the potential for targeting individuals with NODM for PDAC secondary screening measures.

Published
2022

26. Nonlinear effects of environment on childhood asthma susceptibility

Author

Dilini M, Kothalawala, Veronique B N, Weiss, Latha, Kadalayil, Raquel, Granell, John A, Curtin, Clare S, Murray, Angela, Simpson, Adnan, Custovic, William J, Tapper, Faisal I, Rezwan, Syed Hasan, Arshad, John W, Holloway, and Paul, Cullinan

Subjects
parental smoking, Immunology, ALSPAC, Asthma, meta-analysis, Risk Factors, childhood asthma, polygenic risk score, Pediatrics, Perinatology and Child Health, PRS-by-environment interactions, Humans, Immunology and Allergy, Genetic Predisposition to Disease, Disease Susceptibility, Longitudinal Studies, Child
Abstract

[No abstract]

Published
2022

27. Pathogenic Variants in CHEK2 Are Associated With an Adverse Prognosis in Symptomatic Early-Onset Breast Cancer

Author

William J. Tapper, Ramsey I. Cutress, Tom Maishman, Diana Eccles, Stephanie Greville-Heygate, Louise J. Jones, Ellen Copson, Linda Haywood, and Alison M. Dunning

Subjects
0301 basic medicine, Oncology, Cancer Research, medicine.medical_specialty, business.industry, Kinase, MEDLINE, medicine.disease, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Text mining, Breast cancer, 030220 oncology & carcinogenesis, Internal medicine, Original Reports, Medicine, skin and connective tissue diseases, business, CHEK2, Early onset
Abstract

PURPOSE Checkpoint kinase 2 ( CHEK2) is frequently included in multigene panels. We describe the associated outcomes among carriers of CHEK2 pathogenic variants in young patients with symptomatic breast cancer. PATIENTS AND METHODS Participants (N = 2,344) in the Prospective Outcomes in Sporadic Versus Hereditary Breast Cancer study had a diagnosis of primary invasive breast cancer at age ≤ 40 years. Summary statistics were used to compare tumor characteristics among CHEK2+ carriers with those who were CHEK2−. Kaplan-Meier curves were used to demonstrate overall survival (OS) and distant disease-free survival. RESULTS Overall, 53 of the 2,344 participants (2.3%) had a pathogenic CHEK2 variant. CHEK2+-associated tumors were significantly more likely to be grade 2, estrogen receptor and progesterone receptor–positive compared with CHEK2− tumors (grade 2, n = 28 of 52 [53.8%] v n = 803 of 2,229 [36.0%]; P = .029). CHEK2-associated tumors were significantly more likely to have nodal involvement (N1, n = 37 of 53 [69.8%] v 1,169 of 2,253 [51.9%]; P = .0098) and demonstrated a trend toward multifocality. A higher proportion of participants with CHEK2+ variants with invasive breast cancer were obese than were those with CHEK2− variant (28.3% v 18.8%; P = .039). Univariate and multivariable analyses revealed that OS and distant disease-free survival were significantly worse in CHEK2+ versus CHEK2− carriers (OS hazard ratio, 1.58; 95% CI, 1.01 to 2.48; P = .043). CONCLUSION This work highlights the adverse prognosis associated with breast cancer in carriers of CHEK2 pathogenic variants. It also identifies a potential association among obesity, family history, and breast cancer risk in young CHEK2 gene carriers.

Published
2020

28. Clonal myelopoiesis in the UK Biobank cohort: ASXL1 mutations are strongly associated with smoking

Author

William J. Tapper, Ahmed A. Z. Dawoud, and Nicholas C.P. Cross

Subjects
0301 basic medicine, Oncology, Cancer Research, medicine.medical_specialty, Myeloid, business.industry, Haplotype, Hematology, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Internal medicine, Cohort, Medicine, Myelopoiesis, business, Exome sequencing, Cohort study, Genetic association, SNP array
Abstract

We sought to determine the significance of myeloid clonal hematopoiesis (CH) in the UK Biobank cohort (n = 502,524, median age = 58 years). Utilizing SNP array (n = 486,941) and whole exome sequencing data (n = 49,956), we identified 1166 participants with myeloid CH, defined by myeloid-associated mosaic chromosome abnormalities (mCA) and/or likely somatic driver mutations in DNMT3A, TET2, ASXL1, JAK2, SRSF2, or PPM1D. Myeloid CH increased by 1.1-fold per annum (myeloid mCA, P = 1.57 × 10 −38; driver mutations, P = 5.89 × 10 −47). Genome-wide association analysis identified two distinct signals within TERT that predisposed to myeloid CH, plus a weaker signal corresponding to the JAK2 46/1 haplotype. Specific subtypes of myeloid CH were associated with several blood features and clinical phenotypes, including TET2 mutations and chronic obstructive pulmonary disease. Smoking history was significantly associated with myeloid CH: 53% of myeloid CH cases were smokers compared to 44% of controls (P = 3.38 × 10 −6), a difference principally due to current (OR = 1.10; P = 6.14 × 10 −6) rather than past smoking (P = 0.08). Breakdown of CH by specific mutation type revealed that ASXL1 loss of function mutations were most strongly associated with current smoking status (OR = 1.07; P = 1.92 × 10 −5), and the only abnormality associated with past smoking (OR = 1.04; P = 0.0026). We suggest that the inflammatory environment induced by smoking may promote the outgrowth of ASXL1-mutant clones.

Published
2020

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

Author

Ana Peixoto, Ian Tomlinson, Thérèse Truong, Amanda E. Toland, Anna Marie Mulligan, Michael Untch, Susan J. Ramus, Kenneth Offit, John J. Spinelli, Clarice R. Weinberg, Kyriaki Michailidou, Javier Benitez, Rita K. Schmutzler, Lizet E. van der Kolk, Heli Nevanlinna, Annika Lindblom, Sara Margolin, Stella Koutros, Elza Khusnutdinova, Diana Eccles, Lenka Foretova, Wolfgang Janni, Jennifer T. Loud, Roger L. Milne, Patrick Neven, Thomas U. Ahearn, Hedy S. Rennert, Karolina Prajzendanc, Melissa C. Southey, Ramunas Janavicius, Finn Cilius Nielsen, Pascal Guénel, Antoinette Hollestelle, Jolanta Lissowska, Ni Zhao, Melissa Christiaens, Hoda Anton-Culver, Ans M.W. van den Ouweland, Christopher A. Haiman, Debra Frost, Vessela N. Kristensen, Bernard Peissel, Muhammad Usman Rashid, Noura Mebirouk, Claudine Isaacs, Matthias W. Beckmann, Sofia Khan, Xia Jiang, Jack A. Taylor, Peter Hillemanns, Robert Winqvist, Susan L. Neuhausen, Marina Bermisheva, Alicja Wolk, Katherine L. Nathanson, Judy Garber, Siranoush Manoukian, Simon S. Cross, Flavio Lejbkowicz, Manjeet K. Bolla, Goska Leslie, Saundra S. Buys, Banu Arun, Xiaohong R. Yang, Peter Schürmann, Irene Konstantopoulou, Mia M. Gaudet, Rob A. E. M. Tollenaar, Joe Dennis, Louise Izatt, David E. Goldgar, Anna Jakubowska, Alicja Lukomska, Fabienne Lesueur, Susanna C. Larsson, Peter Devilee, Helen Byers, Bernd Holleczek, Marc Tischkowitz, Arif B. Ekici, Austin Miller, Carl Blomqvist, Christopher R. Hake, Paul D.P. Pharoah, Harvey A. Risch, Kristin K. Zorn, Mehdi Manoochehri, Kamila Czene, Peter A. Fasching, Trinidad Caldés, Hanna Huebner, Agnes Jager, William G. Newman, Lesley McGuffog, Maren T. Scheuner, Nick Orr, Susan M. Domchek, Antonis C. Antoniou, Peter Kraft, Pooja Middha Kapoor, Daniel R. Barnes, Christine L. Clarke, Douglas F. Easton, Bernadette A M Heemskerk-Gerritsen, Ross L. Prentice, Mark E. Sherman, Elizabeth J. van Rensburg, Michael Jones, Åke Borg, Diether Lambrechts, Mark H. Greene, Mark S. Goldberg, Peter J. Hulick, Maria Elena Martinez, Arto Mannermaa, Frans B. L. Hogervorst, Christian F. Singer, Johanna Rantala, Esther M. John, Jesse Nodora, Wendy K. Chung, Csilla Szabo, Mads Thomassen, Tracy A. O'Mara, Kelly-Anne Phillips, Manuela Gago-Dominguez, Jacques Simard, John L. Hopper, Jacopo Azzollini, Rudolf Kaaks, Haoyu Zhang, Eitan Friedman, Heiko Becher, János Papp, Thomas Rüdiger, Alison M. Dunning, Daniele Campa, Alfons Meindl, Lothar Häberle, Ana Blanco, Eric Hahnen, Barbara Wappenschmidt, Elaine F. Harkness, Audrey Y. Jung, Guanghao Qi, Zumuruda Abu Ful, Maria A. Caligo, Priyanka Sharma, Håkan Olsson, Elke M van Veen, Marion Piedmonte, Linetta B. Koppert, Usha Menon, Laura Matricardi, Jonine D. Figueroa, Wei Zheng, Milena Jakimovska, Katarzyna Białkowska, Renske Keeman, Matti A. Rookus, William J. Tapper, J. Peto, Paul L. Auer, Andreas Schneeweiss, Xiao-Ou Shu, Miriam Dwek, Elvira Mingazheva, Hermann Brenner, Emilija Lazarova, Atocha Romero, Rulla M. Tamimi, Laura Papi, Hans Wildiers, Catriona McLean, Montserrat Garcia-Closas, Matthias Rübner, Thomas Brüning, Graham G. Giles, Robert J. MacInnis, Hans Christiansen, Sten Cornelissen, Paul A. James, Georgia Chenevix-Trench, Tjoung-Won Park-Simon, Nilanjan Chatterjee, D. Gareth Evans, Ignacio Briceño, Mary B. Daly, Annegien Broeks, Evgeny N. Imyanitov, Jonathan Beesley, Snezhana Smichkoska, Thilo Dörk, Yon-Dschun Ko, Paolo Peterlongo, Celine M. Vachon, Claire Mulot, Kristiina Aittomäki, Liene Nikitina-Zake, Manuel R. Teixeira, Edith Olah, Florentia Fostira, Beth N. Peshkin, Pierre Laurent-Puig, M. B. Terry, Michael T. Parsons, Anna González-Neira, Julie Lecarpentier, Jacek Gronwald, Fergus J. Couch, Mariarosaria Calvello, Leigha Senter, Ute Hamann, Brigitte Rack, Marco Montagna, Simon A. Gayther, Barbara Burwinkel, Anne-Vibeke Lænkholm, Irene L. Andrulis, Sabine Behrens, Beth Y. Karlan, Anthony J. Swerdlow, Marjanka K. Schmidt, Cari M. Kitahara, Emmanouil Saloustros, Dijana Plaseska-Karanfilska, Melissa A. Troester, Diana Torres, Daniel Barrowdale, Elinor J. Sawyer, Hiltrud Brauch, Minouk J. Schoemaker, Dale P. Sandler, José A. García-Sáenz, Jennifer Stone, Qin Wang, Conxi Lázaro, Paolo Radice, Jan Lubinski, Jose E. Castelao, Natalia Bogdanova, Drakoulis Yannoukakos, Davide Bondavalli, Kristan J. Aronson, Gad Rennert, Wing-Yee Lo, Robert N. Hoover, Dominique Stoppa-Lyonnet, Nadine Tung, Stephen J. Chanock, Andrew K. Godwin, Angela Cox, Maartje J. Hooning, Anthony Howell, Volker Arndt, Penny Soucy, Jenny Chang-Claude, Kathleen Claes, Olufunmilayo I. Olopade, Jeffrey N. Weitzel, Stig E. Bojesen, Sara Y Brucker, Darcy L. Thull, Darya Prokofyeva, Taru A. Muranen, Ben Schöttker, Orland Diez, Susan M. Gapstur, Sarah Sampson, Bernardo Bonanni, Per Hall, Ana Vega, Medical Oncology, Surgery, and Clinical Genetics

Subjects
Oncology, medicine.medical_specialty, Linkage disequilibrium, Carcinogenesis, Estrogen receptor, Genome-wide association study, Breast Neoplasms, Triple Negative Breast Neoplasms, Biology, Gene mutation, Linkage Disequilibrium, Càncer de mama, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, Genetics, Genetic predisposition, medicine, Humans, Genetic Predisposition to Disease, Carcinogènesi, Triple-negative breast cancer, 030304 developmental biology, Medicinsk genetik, 0303 health sciences, Genetic heterogeneity, BRCA1 Protein, medicine.disease, 3. Good health, Case-Control Studies, Female, Mutation, Genome-Wide Association Study, Medical Genetics, 030217 neurology & neurosurgery
Abstract

Genome-wide analysis identifies 32 loci associated with breast cancer susceptibility, accounting for estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype(1-3). To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P < 5.0 x 10(-8)), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate < 0.05). Five loci showed associations (P < 0.05) in opposite directions between luminal and non-luminal subtypes. In silico analyses showed that these five loci contained cell-specific enhancers that differed between normal luminal and basal mammary cells. The genetic correlations between five intrinsic-like subtypes ranged from 0.35 to 0.80. The proportion of genome-wide chip heritability explained by all known susceptibility loci was 54.2% for luminal A-like disease and 37.6% for triple-negative disease. The odds ratios of polygenic risk scores, which included 330 variants, for the highest 1% of quantiles compared with middle quantiles were 5.63 and 3.02 for luminal A-like and triple-negative disease, respectively. These findings provide an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.

Published
2020

30. Integration of Genomic Risk Scores to Improve the Prediction of Childhood Asthma Diagnosis

Author

Dilini M. Kothalawala, Latha Kadalayil, John A. Curtin, Clare S. Murray, Angela Simpson, Adnan Custovic, William J. Tapper, S. Hasan Arshad, Faisal I. Rezwan, John W. Holloway, and on behalf of STELAR/UNICORN investigators

Subjects
methylation risk score, Medicine (miscellaneous), Methylation risk score, prediction, asthma, childhood, polygenic risk score, machine learning, data integration, Childhood, Article, Asthma, Polygenic risk score, Machine learning, Medicine, Data integration, Prediction
Abstract

Genome-wide and epigenome-wide association studies have identified genetic variants and differentially methylated nucleotides associated with childhood asthma. Incorporation of such genomic data may improve performance of childhood asthma prediction models which use phenotypic and environmental data. Using genome-wide genotype and methylation data at birth from the Isle of Wight Birth Cohort (n = 1456), a polygenic risk score (PRS), and newborn (nMRS) and childhood (cMRS) methylation risk scores, were developed to predict childhood asthma diagnosis. Each risk score was integrated with two previously published childhood asthma prediction models (CAPE and CAPP) and were validated in the Manchester Asthma and Allergy Study. Individually, the genomic risk scores demonstrated modest-to-moderate discriminative performance (area under the receiver operating characteristic curve, AUC: PRS = 0.64, nMRS = 0.55, cMRS = 0.54), and their integration only marginally improved the performance of the CAPE (AUC: 0.75 vs. 0.71) and CAPP models (AUC: 0.84 vs. 0.82). The limited predictive performance of each genomic risk score individually and their inability to substantially improve upon the performance of the CAPE and CAPP models suggests that genetic and epigenetic predictors of the broad phenotype of asthma are unlikely to have clinical utility. Hence, further studies predicting specific asthma endotypes are warranted.

Published
2022

31. Prediction and clinical utility of a contralateral breast cancer risk model

Author

William J. Tapper, Montserrat Garcia-Closas, Douglas F. Easton, Alison M. Dunning, Annika Lindblom, Rob A. E. M. Tollenaar, Hester S. A. Oldenburg, Per Hall, Chantal Van Ongeval, Diether Lambrechts, Daniele Giardiello, Agnes Jager, Jonine D. Figueroa, Melissa C. Southey, Qin Wang, Jan Lubinski, Ewout W. Steyerberg, Marjanka K. Schmidt, Manjeet K. Bolla, Anna Jakubowska, Paul D.P. Pharoah, Diana Eccles, Carl Blomqvist, Heli Nevanlinna, Flora E. van Leeuwen, Pieter J. Westenend, Mitul Shah, Iris Kramer, Luigi Mariani, Mehdi Manoochehri, Delal Akdeniz, Peter A. Fasching, Alexandra J. van den Broek, Muriel A. Adank, Saskia Pelders, Maartje J. Hooning, Christopher A. Haiman, Sabine Siesling, Loic Le Marchand, Peter Devilee, Michael Hauptmann, Ute Hamann, Jenny Chang-Claude, Camilla Wendt, Stig E. Bojesen, Lothar Haeberle, Mariël Brinkhuis, Laura J. van't Veer, Renske Keeman, Kamila Czene, Henrik Flyger, John L. Hopper, Audrey Y. Jung, Carolien H.M. van Deurzen, Vincent T.H.B.M. Smit, Health Technology & Services Research, Dunning, Alison [0000-0001-6651-7166], Easton, Douglas [0000-0003-2444-3247], Pharoah, Paul [0000-0001-8494-732X], Wang, Jean [0000-0002-9139-0627], Apollo - University of Cambridge Repository, Blomqvist, Carl [0000-0003-3041-1938], Department of Oncology, Clinicum, HUS Comprehensive Cancer Center, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, University of Helsinki, Public Health, Medical Oncology, and Pathology

Subjects
Oncology, medicine.medical_treatment, BRCA mutation carriers, 0302 clinical medicine, Medizinische Fakultät, 3123 Gynaecology and paediatrics, Risk Factors, 030212 general & internal medicine, Family history, 10. No inequality, Netherlands, education.field_of_study, BRCA1 Protein, Area under the curve, Disease Management, Neoplasms, Second Primary, Prognosis, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Primary tumor, 3. Good health, Preventive mastectomy, 030220 oncology & carcinogenesis, Area Under Curve, Female, Disease Susceptibility, Mastectomy, Clinical decision-making, Research Article, medicine.medical_specialty, Population, 3122 Cancers, Breast Neoplasms, Risk Assessment, lcsh:RC254-282, 03 medical and health sciences, Germline mutation, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, medicine, Humans, ddc:610, education, Germ-Line Mutation, Proportional Hazards Models, BRCA2 Protein, business.industry, medicine.disease, Contralateral breast cancer, business, Risk prediction model
Abstract

Background Breast cancer survivors are at risk for contralateral breast cancer (CBC), with the consequent burden of further treatment and potentially less favorable prognosis. We aimed to develop and validate a CBC risk prediction model and evaluate its applicability for clinical decision-making. Methods We included data of 132,756 invasive non-metastatic breast cancer patients from 20 studies with 4682 CBC events and a median follow-up of 8.8 years. We developed a multivariable Fine and Gray prediction model (PredictCBC-1A) including patient, primary tumor, and treatment characteristics and BRCA1/2 germline mutation status, accounting for the competing risks of death and distant metastasis. We also developed a model without BRCA1/2 mutation status (PredictCBC-1B) since this information was available for only 6% of patients and is routinely unavailable in the general breast cancer population. Prediction performance was evaluated using calibration and discrimination, calculated by a time-dependent area under the curve (AUC) at 5 and 10 years after diagnosis of primary breast cancer, and an internal-external cross-validation procedure. Decision curve analysis was performed to evaluate the net benefit of the model to quantify clinical utility. Results In the multivariable model, BRCA1/2 germline mutation status, family history, and systemic adjuvant treatment showed the strongest associations with CBC risk. The AUC of PredictCBC-1A was 0.63 (95% prediction interval (PI) at 5 years, 0.52–0.74; at 10 years, 0.53–0.72). Calibration-in-the-large was -0.13 (95% PI: -1.62–1.37), and the calibration slope was 0.90 (95% PI: 0.73–1.08). The AUC of Predict-1B at 10 years was 0.59 (95% PI: 0.52–0.66); calibration was slightly lower. Decision curve analysis for preventive contralateral mastectomy showed potential clinical utility of PredictCBC-1A between thresholds of 4–10% 10-year CBC risk for BRCA1/2 mutation carriers and non-carriers. Conclusions We developed a reasonably calibrated model to predict the risk of CBC in women of European-descent; however, prediction accuracy was moderate. Our model shows potential for improved risk counseling, but decision-making regarding contralateral preventive mastectomy, especially in the general breast cancer population where limited information of the mutation status in BRCA1/2 is available, remains challenging.

Published
2019

32. Recurrent activating STAT5B N642H mutation in myeloid neoplasms with eosinophilia

Author

Philip George, Yvette Hoade, Sahra Ali, Simon Watt, Varun Mehra, Catherine Cargo, Fergus Jack, Paul Evans, Tiziana Fanelli, William J. Tapper, Alastair Whiteway, Gabriela Sciuccati, Iwo Pieniak, Jamie Cavenagh, Emma Das-Gupta, Andres Virchis, Nicole Naumann, Kavita Patel, Rowena Thomas-Dewing, Patrick Thornton, Kris Zegocki, Louise Wallis, Charlotte Grimley, Gonzalo Carreño-Tarragona, Peter Forsyth, Andreas Reiter, Nicholas C.P. Cross, Laura Munro, Kaljit Bhuller, Andrew S Duncombe, Andrew Chase, Barbara J. Bain, Mohamad Jawhar, Johannes Lübke, Ali Rismani, Sonja Burgstaller, and Imperial College Trust

Subjects
0301 basic medicine, Male, Cancer Research, Myeloid, Gastroenterology, 0302 clinical medicine, STAT5 Transcription Factor, Eosinophilia, Child, Aged, 80 and over, Hypereosinophilic syndrome, Not Otherwise Specified, food and beverages, Hematology, Middle Aged, Prognosis, Survival Rate, medicine.anatomical_structure, Oncology, 030220 oncology & carcinogenesis, Female, medicine.symptom, Adult, medicine.medical_specialty, Adolescent, Immunology, Article, Myeloid Neoplasm, 03 medical and health sciences, Young Adult, Internal medicine, Cancer Genetics, medicine, Biomarkers, Tumor, Humans, Survival rate, Aged, Retrospective Studies, Chronic eosinophilic leukemia, Myeloproliferative Disorders, business.industry, 1103 Clinical Sciences, Retrospective cohort study, medicine.disease, 030104 developmental biology, Mutation, business, 1112 Oncology And Carcinogenesis, Follow-Up Studies
Abstract

Determining the underlying cause of persistent eosinophilia is important for effective clinical management but remains a diagnostic challenge in many cases. We identified STAT5B N642H, an established oncogenic mutation, in 27/1715 (1.6%) cases referred for investigation of eosinophilia. Of the 27 mutated cases, a working diagnosis of hypereosinophilic syndrome (HES; n = 7) or a myeloid neoplasm with eosinophilia (n = 20) had been made prior to the detection of STAT5B N642H. Myeloid panel analysis identified a median of 2 additional mutated genes (range 0–4) with 4 cases having STAT5B N642H as a sole abnormality. STAT5B N642H was absent in cultured T cells of 4/4 positive cases. Individuals with SF3B1 mutations (9/27; 33%) or STAT5B N642H as a sole abnormality had a markedly better overall survival compared to cases with other additional mutations (median 65 months vs. 14 months; hazard ratio = 8.1; P

Published
2018

33. Development of Childhood Asthma Prediction Models using Machine Learning Approaches

Author

Clare S. Murray, Angela Simpson, Dilini M. Kothalawala, Adnan Custovic, S. Hasan Arshad, John W. Holloway, Unicorn investigators, William J. Tapper, and Faisal I. Rezwan

Subjects
Receiver operating characteristic, business.industry, Machine learning, computer.software_genre, medicine.disease, Support vector machine, Test set, Wheeze, Feature (machine learning), Medicine, Artificial intelligence, Imputation (statistics), medicine.symptom, business, computer, Predictive modelling, Asthma
Abstract

BackgroundWheeze is common in early life and often transient. It is difficult to identify which children will experience persistent symptoms and subsequently develop asthma. Machine learning approaches have the potential for better predictive performance and generalisability over existing childhood asthma prediction models.ObjectiveTo apply machine learning approaches for predicting school-age asthma (age 10) in early life (Childhood Asthma Prediction in Early life, CAPE model) and at preschool age (Childhood Asthma Prediction at Preschool age, CAPP model).MethodsData on clinical symptoms and environmental exposures were collected from children enrolled in the Isle of Wight Birth Cohort (N=1368, ∼15% asthma prevalence). Recursive Feature Elimination (RFE) identified the optimal subset of features predictive of school-age asthma for each model. Seven state-of-the-art machine learning classification algorithms were used to develop the models and the results were compared. To optimize the models, training was performed by applying 5-fold cross-validation, imputation and resampling. Predictive performances were evaluated on the test set and externally validated in the Manchester Asthma and Allergy Study (MAAS) cohort.ResultsRFE identified eight and 12 predictors for the CAPE and CAPP models, respectively. The best predictive performance was demonstrated by a Support Vector Machine (SVM) algorithm for both the CAPE model (area under the receiver operating curve, AUC=0.71) and CAPP model (AUC=0.82). Both models demonstrated good generalisability in MAAS (CAPE 8YR=0.71, 11YR=0.71, CAPP 8YR=0.83, 11YR=0.79).ConclusionUsing machine learning approaches improved upon the predictive performance of existing regression-based models, with good generalisability and ability to rule in asthma.

Published
2021

34. 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

Agnes Jager, Christopher A. Haiman, William G. Newman, Georgia Chenevix-Trench, Loic Le Marchand, Tjoung-Won Park-Simon, Eric Hahnen, Peter Kraft, Montserrat Garcia-Closas, Alison M. Dunning, Roger L. Milne, Christine L. Clarke, Wei He, Thomas Brüning, David J. Hunter, Alicja Wolk, Arto Mannermaa, William J. Tapper, Dimitrios Mavroudis, Emmanouil Saloustros, Dijana Plaseska-Karanfilska, Annelie Augustinsson, Rob A. E. M. Tollenaar, Stella Koutros, Heiko Becher, Machteld Keupers, Abctb Investigators, Esther M. John, Heli Nevanlinna, Simon S. Cross, Rita K. Schmutzler, Melanie Gündert, Elinor J. Sawyer, Anna Morra, Melissa C. Southey, Robert Luben, Daniele Campa, Hoda Anton-Culver, Hiltrud Brauch, Børge G. Nordestgaard, Wolfgang Janni, Douglas F. Easton, Diether Lambrechts, Marjanka K. Schmidt, Jonathan Beesley, Thilo Dörk, Miriam Dwek, Robert Winqvist, Irene L. Andrulis, Paolo Peterlongo, Manjeet K. Bolla, Manuela Gago-Dominguez, Matthias Ruebner, Nick Orr, Stephen J. Chanock, Paul L. Auer, Michael Lush, Sune F. Nielsen, Amber N Hurson, Alpa V. Patel, Sander Canisius, Vessela N. Kristensen, José A. García-Sáenz, Joe Dennis, Mervi Grip, Sarah Colonna, Tongguang Cheng, Martha S. Linet, Cari M. Kitahara, Annika Lindblom, Anna Jakubowska, Paul D.P. Pharoah, Bernard Peissel, Christopher G. Scott, Maria Elena Martinez, Laure Dossus, Saundra S. Buys, Graham G. Giles, Pascal Guénel, Anthony J. Swerdlow, Allison W. Kurian, Jan Lubinski, Andrew F. Olshan, A. Heather Eliassen, Valerie Rhenius, Jose E. Castelao, Renske Keeman, Diana Eccles, John W.M. Martens, Melissa A. Troester, Sara Margolin, Thomas U. Ahearn, Hedy S. Rennert, Nadege Presneau, Mehdi Manoochehri, Laura E. Beane Freeman, Lauren R. Teras, Jaana M. Hartikainen, Hermann Brenner, Reiner Hoppe, Atocha Romero, Mitul Shah, Peter A. Fasching, Argyrios Ziogas, Matthias W. Beckmann, Ross L. Prentice, James V. Lacey, Harald Surowy, Rulla M. Tamimi, D. Gareth Evans, Celine M. Vachon, Snezhana Smichkoska, Mary B. Daly, Karolina Prajzendanc, Arif B. Ekici, Stig E. Bojesen, Niclas Håkansson, Steven N. Hart, Mikael Eriksson, Maria Escala-Garcia, Taru A. Muranen, Arndt Hartmann, Henrik Flyger, Håkan Olsson, Federico Canzian, Rebecca Roylance, Mary Beth Terry, Jenny Chang-Claude, Andreas Schneeweiss, Angela Cox, Maartje J. Hooning, Anthony Howell, Volker Arndt, Lin Fritschi, Bette J. Caan, Kyriaki Michailidou, Per Hall, Ian Tomlinson, Thérèse Truong, Anna Marie Mulligan, Fergus J. Couch, Gad Rennert, Ute Hamann, Brigitte Rack, Sabine Behrens, Jennifer Stone, Qin Wang, kConFab Investigators, Kamila Czene, John L. Hopper, Audrey Y. Jung, Rudolf Kaaks, Schmidt, Marjanka K. [0000-0002-2228-429X], Apollo - University of Cambridge Repository, Dörk, Thilo [0000-0002-9458-0282], Newman, William G [0000-0002-6382-4678], Romero, Atocha [0000-0002-1634-7397], Stone, Jennifer [0000-0001-5077-0124], Schmidt, Marjanka K [0000-0002-2228-429X], HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, and Medical Oncology

Subjects
Oncology, medicine.medical_treatment, LOCI, PROGRESSION, Systemic treatment, SUSCEPTIBILITY, BETA-CATENIN, Germline, SUBTYPES, 0302 clinical medicine, Surgical oncology, TOOL, Medicine, RC254-282, 0303 health sciences, Tumor biology, ROLES, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Single Nucleotide, Prognosis, 3. Good health, 030220 oncology & carcinogenesis, Female, Research Article, EXPRESSION, medicine.medical_specialty, 3122 Cancers, Breast Neoplasms, Polymorphism, Single Nucleotide, 03 medical and health sciences, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, Humans, ddc:610, Polymorphism, Allele, Breast cancer-specific survival, Common germline genetic variants, Patient subgroups, Genome-Wide Association Study, Survival Analysis, Germ-Line Mutation, Pathological, 030304 developmental biology, Cancer och onkologi, Chemotherapy, IDENTIFICATION, business.industry, Proportional hazards model, medicine.disease, Confidence interval, Cancer and Oncology, Breast Cancer-specific Survival, Common Germline Genetic Variants, Patient Subgroups, Systemic Treatment, Tumor Biology, business
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 Results Evidence of associations with breast cancer-specific survival was observed in three patient subgroups, with variant rs5934618 in patients with grade 3 tumors (15-year-hazard ratio (HR) [95% confidence interval (CI)] 1.32 [1.20, 1.45], P = 1.4E−08, BFDP = 0.01, per G allele); variant rs4679741 in patients with ER-positive tumors treated with endocrine therapy (15-year-HR [95% CI] 1.18 [1.11, 1.26], P = 1.6E−07, BFDP = 0.09, per G allele); variants rs1106333 (15-year-HR [95% CI] 1.68 [1.39,2.03], P = 5.6E−08, BFDP = 0.12, per A allele) and rs78754389 (5-year-HR [95% CI] 1.79 [1.46,2.20], P = 1.7E−08, BFDP = 0.07, per A allele), in patients with ER-negative tumors treated with chemotherapy. Conclusions We found evidence of four loci associated with breast cancer-specific survival within three patient subgroups. There was limited evidence for the existence of associations in other patient subgroups. However, the power for many subgroups is limited due to the low number of events. Even so, our results suggest that the impact of common germline genetic variants on breast cancer-specific survival might be limited.

Published
2021

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

Author

Pascal Guénel, John J. Spinelli, Hoda Anton-Culver, Veli-Matti Kosma, Beth Y. Karlan, Antonis C. Antoniou, Brian D. Carter, Drakoulis Yannoukakos, Orland Diez, Montserrat Garcia-Closas, Uffe Birk Jensen, Susan M. Gapstur, Christine L. Clarke, Florentia Fostira, Trinidad Caldés, Wei Zheng, Diana Eccles, Don M. Conroy, Kristan J. Aronson, Sara Margolin, Thomas U. Ahearn, Hedy S. Rennert, Evgeny N. Imyanitov, Rulla M. Tamimi, Mary Beth Terry, Jenny Chang-Claude, Per Hall, Daniel R. Barnes, Alex Teulé, D. Gareth Evans, Åke Borg, Frans B. L. Hogervorst, Yon-Dschun Ko, Celine M. Vachon, Graham G. Giles, Simona Agata, Gad Rennert, Yuan Chun Ding, J. Margriet Collée, Alison M. Dunning, Regina M. Santella, Banu Arun, William J. Tapper, Melissa C. Southey, Finn Cilius Nielsen, Michael T. Parsons, Marjanka K. Schmidt, Alfons Meindl, Vassilios Georgoulias, Simon A. Gayther, Debra Frost, Noura Mebirouk, Hebon Investigators, Austin Miller, Sue K. Park, Anthony J Swerdlow, Emmanouil Saloustros, Isabel dos-Santos-Silva, Laura Ottini, Jack A. Taylor, Siranoush Manoukian, Maria A. Caligo, Douglas F. Easton, Christoph Engel, Antoinette Hollestelle, Ana Vega, Muriel A. Adank, Mia M. Gaudet, Heko Becher, Lothar Haeberle, Priyanka Sharma, Katherine L. Nathanson, Mads Thomassen, Miriam Dwek, Manuela Gago-Dominguez, Hiltrud Brauch, Kamila Czene, Peter A. Fasching, Peter J. Hulick, David E. Goldgar, Lesley McGuffog, Anna Jakubowska, Paul D.P. Pharoah, Adrià López-Fernández, Bruce Poppe, Volker Arndt, Georgia Chenevix-Trench, Tjoung-Won Park-Simon, Jennifer Stone, Wendy K. Chung, Joseph Vijai, Qin Wang, Penny Soucy, Miquel Angel Pujana, Diether Lambrechts, Vanesa García-Barberán, Andrea Gehrig, Anna González-Neira, Thérèse Truong, Jenny Lester, Wei He, Dale P. Sandler, Rita K. Schmutzler, Julian Peto, A. Heather Eliassen, Paolo Radice, Yael Laitman, Johanna Rantala, Kelly-Anne Phillips, Amanda E. Toland, Bernardo Bonanni, Muhammad Usman Rashid, Heli Nevanlinna, John L. Hopper, Kevin Punie, kConFab Investigators, Thilo Dörk, Judy Garber, Alison H. Trainer, Irene L. Andrulis, Jeffrey N. Weitzel, Michael Jones, Caroline Baynes, David J. Hunter, Mark S. Goldberg, Kristiina Aittomäki, Barbara Burwinkel, Jonathan Beesley, Maria Rossing, Norbert Arnold, Kathleen Claes, Renske Keeman, Esther M. John, John W.M. Martens, Katie M. O'Brien, Paolo Peterlongo, Mark H. Greene, Tracy A. O'Mara, Saundra S. Buys, Craig Luccarini, Atocha Romero, Paul A. James, Siddhartha Yadav, Zoe Steinsnyder, Diana Torres, Rudolf Kaaks, Camilla Wendt, Fabienne Lesueur, Ana Osorio, Olufunmilayo I. Olopade, Christopher A. Haiman, Agnes Jager, Tricia Lindstrom, Peter Devilee, Kristin K. Zorn, Loic Le Marchand, Darling J. Horcasitas, Michael Lush, Mark E. Robson, Jennifer T. Loud, Roger L. Milne, Lin Fritschi, Johanna I. Kiiski, Eric Hahnen, Jacques Simard, Annelie Augustinsson, Stig E. Bojesen, Kenneth Offit, Nadine Andrieu, Xiaohong R. Yang, Pooja Middha Kapoor, Joe Dennis, Beth N. Peshkin, Nadege Presneau, Darcy L. Thull, Fergus J. Couch, Gunnar Schmidt, Ute Hamann, Susan M. Domchek, Henrik Flyger, Mary B. Daly, Håkan Olsson, Clarice R. Weinberg, Niclas Håkansson, Elza Khusnutdinova, Inge Søkilde Pedersen, Manjeet K. Bolla, Steven N. Hart, Carl Blomqvist, Janet E. Olson, Maren T. Scheuner, Barbara Wappenschmidt, Marc Tischkowitz, Dominique Stoppa-Lyonnet, Nadine Tung, Stephen J. Chanock, Leslie Bernstein, Mikael Eriksson, José A. García-Sáenz, Jonathan Tyrer, Jose E. Castelao, Peter Kraft, Goska Leslie, Arto Mannermaa, Christopher G. Scott, Jacopo Azzollini, Eitan Friedman, Allison W. Kurian, Katarzyna Białkowska, Argyrios Ziogas, Hermann Brenner, Andrew K. Godwin, Patricia Harrington, Juliette Coignard, Daniele Campa, Susan L. Neuhausen, Marco Montagna, Marina Bermisheva, Alicja Wolk, Eric C. Polley, Abctb Investigators, and Daniel Barrowdale

Subjects
Adult, Genotype, media_common.quotation_subject, Science, Quantitative Trait Loci, General Physics and Astronomy, Breast Neoplasms, 02 engineering and technology, Brca1 brca2, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Linkage Disequilibrium, 03 medical and health sciences, Breast cancer, Cancer epidemiology, Humans, Genetic Predisposition to Disease, Author Correction, Cancer genetics, Alleles, 030304 developmental biology, media_common, BRCA2 Protein, 0303 health sciences, Multidisciplinary, BRCA1 Protein, Published Erratum, General Chemistry, Art, Middle Aged, 021001 nanoscience & nanotechnology, 3. Good health, Risk factors, Mutation, Female, 0210 nano-technology, Humanities, Genome-Wide Association Study
Abstract

Author(s): Coignard, Juliette; Lush, Michael; Beesley, Jonathan; O'Mara, Tracy A; Dennis, Joe; Tyrer, Jonathan P; Barnes, Daniel R; McGuffog, Lesley; Leslie, Goska; Bolla, Manjeet K; Adank, Muriel A; Agata, Simona; Ahearn, Thomas; Aittomaki, Kristiina; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Arnold, Norbert; Aronson, Kristan J; Arun, Banu K; Augustinsson, Annelie; Azzollini, Jacopo; Barrowdale, Daniel; Baynes, Caroline; Becher, Heko; Bermisheva, Marina; Bernstein, Leslie; Bialkowska, Katarzyna; Blomqvist, Carl; Bojesen, Stig E; Bonanni, Bernardo; Borg, Ake; Brauch, Hiltrud; Brenner, Hermann; Burwinkel, Barbara; Buys, Saundra S; Caldes, Trinidad; Caligo, Maria A; Campa, Daniele; Carter, Brian D; Castelao, Jose E; Chang-Claude, Jenny; Chanock, Stephen J; Chung, Wendy K; Claes, Kathleen BM; Clarke, Christine L; GEMO Study Collaborators; EMBRACE Collaborators; Collee, J Margriet; Conroy, Don M; Czene, Kamila; Daly, Mary B; Devilee, Peter; Diez, Orland; Ding, Yuan Chun; Domchek, Susan M; Dork, Thilo; Dos-Santos-Silva, Isabel; Dunning, Alison M; Dwek, Miriam; Eccles, Diana M; Eliassen, A Heather; Engel, Christoph; Eriksson, Mikael; Evans, D Gareth; Fasching, Peter A; Flyger, Henrik; Fostira, Florentia; Friedman, Eitan; Fritschi, Lin; Frost, Debra; Gago-Dominguez, Manuela; Gapstur, Susan M; Garber, Judy; Garcia-Barberan, Vanesa; Garcia-Closas, Montserrat; Garcia-Saenz, Jose A; Gaudet, Mia M; Gayther, Simon A; Gehrig, Andrea; Georgoulias, Vassilios; Giles, Graham G; Godwin, Andrew K; Goldberg, Mark S; Goldgar, David E | Abstract: A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-23162-4.

Published
2021
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36. Genome-wide association study identifies novel susceptibility loci for KIT D816V positive mastocytosis

Author

Toshiko Tanaka, Gabriella Galatà, William J. Tapper, Sigurd Broesby-Olsen, Yvette Hoade, Ahmed A. Z. Dawoud, Carsten Bindslev-Jensen, Alessandro M. Vannucchi, Christian Gieger, Theresia M. Schnurr, Manja Meggendorfer, Javier I. Muñoz-González, Andreas Reiter, Paola Guglielmelli, Andrés C. García-Montero, Torsten Haferlach, Luigi Ferrucci, Iván Álvarez-Twose, Hanne Vestergaard, Michael Boe Møller, Nicholas C.P. Cross, Konstantin Strauch, Andrew Chase, Stefania Bandinelli, Alberto Orfao, Thomas Kielsgaard Kristensen, Deepti Radia, Wellcome Trust, Helmholtz-Zentrum Munich, Federal Ministry of Education and Research (Germany), Free State of Bavaria, Munich Center of Health Sciences, Ludwig Maximilians University Munich, Ministero della Salute, National Institute on Aging (US), Instituto de Salud Carlos III, European Commission, Associazione Italiana per la Ricerca sul Cancro, Novo Nordisk Foundation, University of Copenhagen, and Lady Tata Memorial Trust

Subjects
Male, Amino Acid Transport System y+, TERT, Receptors, Cytoplasmic and Nuclear, Genome-wide association study, Single-nucleotide polymorphism, Disease, Biology, Quantitative trait locus, Polymorphism, Single Nucleotide, Germline, Article, Genetic variation, CEBPA, Genetics, Humans, TBL1XR1, Genetic Predisposition to Disease, Gene, Telomerase, Genetics (clinical), Interleukin-13, KIT, Introns, Repressor Proteins, Proto-Oncogene Proteins c-kit, D816V, Cebpa, D816v, Kit, Mastocytosis, Myeloid Cancer, Tbl1xr1, Tert, CCAAT-Enhancer-Binding Proteins, DNA, Intergenic, Female, RNA, Long Noncoding, Tryptases, Myeloid cancer, Genome-Wide Association Study
Abstract

Mastocytosis is a rare myeloid neoplasm characterized by uncontrolled expansion of mast cells, driven in >80% of affected individuals by acquisition of the KIT D816V mutation. To explore the hypothesis that inherited variation predisposes to mastocytosis, we performed a two-stage genome-wide association study, analyzing 1,035 individuals with KIT D816V positive disease and 17,960 healthy control individuals from five European populations. After quality control, we tested 592,007 SNPs at stage 1 and 75 SNPs at stage 2 for association by using logistic regression and performed a fixed effects meta-analysis to combine evidence across the two stages. From the meta-analysis, we identified three intergenic SNPs associated with mastocytosis that achieved genome-wide significance without heterogeneity between cohorts: rs4616402 (pmeta = 1.37 × 10−15, OR = 1.52), rs4662380 (pmeta = 2.11 × 10−12, OR = 1.46), and rs13077541 (pmeta = 2.10 × 10−9, OR = 1.33). Expression quantitative trait analyses demonstrated that rs4616402 is associated with the expression of CEBPA (peQTL = 2.3 × 10−14), a gene encoding a transcription factor known to play a critical role in myelopoiesis. The role of the other two SNPs is less clear: rs4662380 is associated with expression of the long non-coding RNA gene TEX41 (peQTL = 2.55 × 10−11), whereas rs13077541 is associated with the expression of TBL1XR1, which encodes transducin (β)-like 1 X-linked receptor 1 (peQTL = 5.70 × 10−8). In individuals with available data and non-advanced disease, rs4616402 was associated with age at presentation (p = 0.009; beta = 4.41; n = 422). Additional focused analysis identified suggestive associations between mastocytosis and genetic variation at TERT, TPSAB1/TPSB2, and IL13. These findings demonstrate that multiple germline variants predispose to KIT D816V positive mastocytosis and provide novel avenues for functional investigation., A full list of the investigators who contributed to the generation of the WTCCC data is available from the WTCCC website, funding for which was provided by The Wellcome Trust under award 07611. The KORA study was initiated and financed by the Helmholtz Zentrum München—German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research (BMBF) and by the State of Bavaria. Furthermore, KORA research was supported within the Munich Center of Health Sciences (MC-Health), Ludwig-Maximilians-Universität, as part of LMUinnovativ. The KORA Study Group consists of A. Peters (speaker), J. Heinrich, R. Holle, R. Leidl, C. Meisinger, K. Strauch, and their co-workers, who are responsible for the design and conduct of the KORA studies. We gratefully acknowledge the contribution of all members of field staff conducting the KORA study, and we are grateful to all study participants of KORA for their invaluable contributions to this study. The InCHIANTI study baseline (1998–2000) was supported as a “targeted project” (ICS110.1/RF97.71) by the Italian Ministry of Health and in part by the U.S. National Institute on Aging (263 MD 9164 and 263 MD 821336). The Spanish mastocytosis cohort and the Spanish National DNA Bank were supported by grants from the Instituto de Salud Carlos III and FEDER (PI16/00642 and PT17/0015/0044). The Italian cohort of mastocytosis-affected individuals was funded by the Associazione Italiana per la Ricerca sul cancro, Mynerva project, 21267. The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent Research Center at the University of Copenhagen partially funded by an unrestricted donation from the Novo Nordisk Foundation. A.A.Z.D. was supported by a Lady Tata International Award; G.G., N.C.P.C., Y.H., A.J.C., and W.J.T. were supported by Blood Cancer UK (13002 and 18007).

Published
2021

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

Author

Iris Kramer, Maartje J. Hooning, Nasim Mavaddat, Michael Hauptmann, Renske Keeman, Ewout W. Steyerberg, Daniele Giardiello, Antonis C. Antoniou, Paul D.P. Pharoah, Sander Canisius, Zumuruda Abu-Ful, Irene L. Andrulis, Hoda Anton-Culver, Kristan J. Aronson, Annelie Augustinsson, Heiko Becher, Matthias W. Beckmann, Sabine Behrens, Javier Benitez, Marina Bermisheva, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Bernardo Bonanni, Hiltrud Brauch, Michael Bremer, Sara Y. Brucker, Barbara Burwinkel, Jose E. Castelao, Tsun L. Chan, Jenny Chang-Claude, Stephen J. Chanock, Georgia Chenevix-Trench, Ji-Yeob Choi, Christine L. Clarke, J. Margriet Collée, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Mary B. Daly, Peter Devilee, Thilo Dörk, Isabel dos-Santos-Silva, Alison M. Dunning, Miriam Dwek, Diana M. Eccles, D. Gareth Evans, Peter A. Fasching, Henrik Flyger, Manuela Gago-Dominguez, Montserrat García-Closas, José A. García-Sáenz, Graham G. Giles, David E. Goldgar, Anna González-Neira, Christopher A. Haiman, Niclas Håkansson, Ute Hamann, Mikael Hartman, Bernadette A.M. Heemskerk-Gerritsen, Antoinette Hollestelle, John L. Hopper, Ming-Feng Hou, Anthony Howell, Hidemi Ito, Milena Jakimovska, Anna Jakubowska, Wolfgang Janni, Esther M. John, Audrey Jung, Daehee Kang, C. Marleen Kets, Elza Khusnutdinova, Yon-Dschun Ko, Vessela N. Kristensen, Allison W. Kurian, Ava Kwong, Diether Lambrechts, Loic Le Marchand, Jingmei Li, Annika Lindblom, Jan Lubiński, Arto Mannermaa, Mehdi Manoochehri, Sara Margolin, Keitaro Matsuo, Dimitrios Mavroudis, Alfons Meindl, Roger L. Milne, Anna Marie Mulligan, Taru A. Muranen, Susan L. Neuhausen, Heli Nevanlinna, William G. Newman, Andrew F. Olshan, Janet E. Olson, Håkan Olsson, Tjoung-Won Park-Simon, Julian Peto, Christos Petridis, Dijana Plaseska-Karanfilska, Nadege Presneau, Katri Pylkäs, Paolo Radice, Gad Rennert, Atocha Romero, Rebecca Roylance, Emmanouil Saloustros, Elinor J. Sawyer, Rita K. Schmutzler, Lukas Schwentner, Christopher Scott, Mee-Hoong See, Mitul Shah, Chen-Yang Shen, Xiao-Ou Shu, Sabine Siesling, Susan Slager, Christof Sohn, Melissa C. Southey, John J. Spinelli, Jennifer Stone, William J. Tapper, Maria Tengström, Soo Hwang Teo, Mary Beth Terry, Rob A.E.M. Tollenaar, Ian Tomlinson, Melissa A. Troester, Celine M. Vachon, Chantal van Ongeval, Elke M. van Veen, Robert Winqvist, Alicja Wolk, Wei Zheng, Argyrios Ziogas, Douglas F. Easton, Per Hall, Marjanka K. Schmidt, Anne-Lise Børresen-Dale, Kristine Sahlberg, Lars Ottestad, Rolf Kåresen, Ellen Schlichting, Marit Muri Holmen, Toril Sauer, Vilde Haakensen, Olav Engebråten, Bjørn Naume, Alexander Fosså, Cecile Kiserud, Kristin Reinertsen, Åslaug Helland, Margit Riis, Jürgen Geisler, Grethe Grenaker Alnæs, Christine Clarke, Deborah Marsh, Rodney Scott, Robert Baxter, Desmond Yip, Jane Carpenter, Alison Davis, Nirmala Pathmanathan, Peter Simpson, J. Dinny Graham, Mythily Sachchithananthan, David Amor, Lesley Andrews, Yoland Antill, Rosemary Balleine, Jonathan Beesley, Ian Bennett, Michael Bogwitz, Leon Botes, Meagan Brennan, Melissa Brown, Michael Buckley, Jo Burke, Phyllis Butow, Liz Caldon, Ian Campbell, Deepa Chauhan, Manisha Chauhan, Alice Christian, Paul Cohen, Alison Colley, Ashley Crook, James Cui, Margaret Cummings, Sarah-Jane Dawson, Anna deFazio, Martin Delatycki, Rebecca Dickson, Joanne Dixon, Ted Edkins, Stacey Edwards, Gelareh Farshid, Andrew Fellows, Georgina Fenton, Michael Field, James Flanagan, Peter Fong, Laura Forrest, Stephen Fox, Juliet French, Michael Friedlander, Clara Gaff, Mike Gattas, Peter George, Sian Greening, Marion Harris, Stewart Hart, Nick Hayward, John Hopper, Cass Hoskins, Clare Hunt, Paul James, Mark Jenkins, Alexa Kidd, Judy Kirk, Jessica Koehler, James Kollias, Sunil Lakhani, Mitchell Lawrence, Geoff Lindeman, Lara Lipton, Liz Lobb, Graham Mann, Sue Anne McLachlan, Bettina Meiser, Roger Milne, Sophie Nightingale, Shona O'Connell, Sarah O'Sullivan, David Gallego Ortega, Nick Pachter, Briony Patterson, Amy Pearn, Kelly Phillips, Ellen Pieper, Edwina Rickard, Bridget Robinson, Mona Saleh, Elizabeth Salisbury, Christobel Saunders, Jodi Saunus, Clare Scott, Adrienne Sexton, Andrew Shelling, Melissa Southey, Amanda Spurdle, Jessica Taylor, Renea Taylor, Heather Thorne, Alison Trainer, Kathy Tucker, Jane Visvader, Logan Walker, Rachael Williams, Ingrid Winship, Mary Ann Young, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, University of Helsinki, Medical Oncology, Public Health, Clinical Genetics, TechMed Centre, and Health Technology & Services Research

Subjects
0301 basic medicine, Oncology, Multifactorial Inheritance, PROGNOSIS, Receptor, ErbB-2, LOCI, Gene Expression, Medical and Health Sciences, Cohort Studies, 0302 clinical medicine, ErbB-2, Neoplasms, Receptors, Genetics (clinical), Progesterone, Cancer, Genetics & Heredity, Genome, Manchester Cancer Research Centre, Confounding, Hazard ratio, 1184 Genetics, developmental biology, physiology, Neoplasms, Second Primary, Biological Sciences, Middle Aged, Prognosis, Primary tumor, Neoadjuvant Therapy, 3. Good health, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], Second Primary, 030220 oncology & carcinogenesis, contralateral breast cancer, kConFab Investigators, epidemiology, Female, Risk assessment, Receptors, Progesterone, Life Sciences & Biomedicine, Cohort study, Receptor, Human, Adult, medicine.medical_specialty, ABCTB Investigators, Breast Neoplasms, Risk Assessment, White People, Article, NBCS Collaborators, 03 medical and health sciences, Breast cancer, AGE, SDG 3 - Good Health and Well-being, Asian People, Internal medicine, Breast Cancer, parasitic diseases, Genetics, medicine, Adjuvant therapy, Humans, Genetic Predisposition to Disease, Aged, Proportional Hazards Models, Science & Technology, business.industry, Proportional hazards model, Genome, Human, ResearchInstitutes_Networks_Beacons/mcrc, Prevention, 22/2 OA procedure, Estrogen Receptor alpha, medicine.disease, ASSOCIATION ANALYSIS, 030104 developmental biology, polygenic risk score, genetic, business, Genome-Wide Association Study
Abstract

Previous research has shown that polygenic risk scores (PRSs) can be used to stratify women according to their risk of developing primary invasive breast cancer. This study aimed to evaluate the association between a recently validated PRS of 313 germline variants (PRS313) and contralateral breast cancer (CBC) risk. We included 56,068 women of European ancestry diagnosed with first invasive breast cancer from 1990 onward with follow-up from the Breast Cancer Association Consortium. Metachronous CBC risk (N = 1,027) according to the distribution of PRS313 was quantified using Cox regression analyses. We assessed PRS313 interaction with age at first diagnosis, family history, morphology, ER status, PR status, and HER2 status, and (neo)adjuvant therapy. In studies of Asian women, with limited follow-up, CBC risk associated with PRS313 was assessed using logistic regression for 340 women with CBC compared with 12,133 women with unilateral breast cancer. Higher PRS313 was associated with increased CBC risk: hazard ratio per standard deviation (SD) = 1.25 (95%CI = 1.18-1.33) for Europeans, and an OR per SD = 1.15 (95%CI = 1.02-1.29) for Asians. The absolute lifetime risks of CBC, accounting for death as competing risk, were 12.4% for European women at the 10th percentile and 20.5% at the 90th percentile of PRS313. We found no evidence of confounding by or interaction with individual characteristics, characteristics of the primary tumor, or treatment. The C-index for the PRS313 alone was 0.563 (95%CI = 0.547-0.586). In conclusion, PRS313 is an independent factor associated with CBC risk and can be incorporated into CBC risk prediction models to help improve stratification and optimize surveillance and treatment strategies. ispartof: AMERICAN JOURNAL OF HUMAN GENETICS vol:107 issue:5 pages:837-848 ispartof: location:United States status: published

Published
2020

38. A CRISPR and high-content imaging assay compliant with ACMG/AMP guidelines for clinical variant interpretation in ciliopathies

Author

Jenny Lord, Reuben J. Pengelly, Jelmer Legebeke, N. Simon Thomas, William J. Tapper, Man-Kim Cheung, Liliya Nazlamova, and Gabrielle Wheway

Subjects
Diagnostic Imaging, medicine.medical_specialty, PRPF31, Mutation, Missense, Guidelines as Topic, Computational biology, Biology, Ciliopathies, Retina, Cell Line, 03 medical and health sciences, Gene Knockout Techniques, 0302 clinical medicine, Genetics, medicine, Image Processing, Computer-Assisted, Missense mutation, Eye Proteins, Genetics (clinical), Cells, Cultured, 030304 developmental biology, Genetic testing, Original Investigation, Gene Editing, 0303 health sciences, medicine.diagnostic_test, Cilium, Retinal Degeneration, medicine.disease, Human genetics, 3. Good health, Ciliopathy, Medical genetics, CRISPR-Cas Systems, 030217 neurology & neurosurgery, Retinitis Pigmentosa
Abstract

Ciliopathies are a broad range of inherited developmental and degenerative diseases associated with structural or functional defects in motile or primary non-motile cilia. There are around 200 known ciliopathy disease genes and whilst genetic testing can provide an accurate diagnosis, 24–60% of ciliopathy patients who undergo genetic testing do not receive a genetic diagnosis. This is partly because following current guidelines from the American College of Medical Genetics and the Association for Molecular Pathology, it is difficult to provide a confident clinical diagnosis of disease caused by missense or non-coding variants, which account for more than one-third of cases of disease. Mutations in PRPF31 are the second most common cause of the degenerative retinal ciliopathy autosomal dominant retinitis pigmentosa. Here, we present a high-throughput high-content imaging assay providing quantitative measure of effect of missense variants in PRPF31 which meets the recently published criteria for a baseline standard in vitro test for clinical variant interpretation. This assay utilizes a new PRPF31+/– human retinal cell line generated using CRISPR gene editing to provide a stable cell line with significantly fewer cilia in which novel missense variants are expressed and characterised. We show that high-content imaging of cells expressing missense variants in a ciliopathy gene on a null background can allow characterisation of variants according to the cilia phenotype. We hope that this will be a useful tool for clinical characterisation of PRPF31 variants of uncertain significance, and can be extended to variant classification in other ciliopathies.

Published
2020

39. High-throughput PRPF31 variant characterisation pipeline consistent with ACMG/AMP clinical variant interpretation guidelines

Author

Man-Kim Cheung, William J. Tapper, Gabrielle Wheway, Liliya Nazlamova, Reuben J. Pengelly, Jenny Lord, and Jelmer Legebeke

Subjects
0303 health sciences, PRPF31, 030305 genetics & heredity, Computational biology, Biology, Ciliopathies, 3. Good health, 03 medical and health sciences, Genome editing, Ciliogenesis, CRISPR, Missense mutation, Haploinsufficiency, Gene, 030304 developmental biology
Abstract

Mutations in PRPF31 are the second most common cause of the degenerative retinal condition autosomal dominant retinitis pigmentosa. Difficulty in characterising missense variants in this gene presents a significant challenge in providing accurate diagnosis for patients to enable targeted testing of other family members, aid family planning, allow pre-implantation diagnosis and inform eligibility for gene therapy trials. With PRPF31 gene therapy in development, there is an urgent need for tools for accurate molecular diagnosis. Here we present a high-throughput high content imaging assay providing quantitative measure of effect of missense variants in PRPF31 which meets the recently published criteria for a baseline standard in vitro test for clinical variant interpretation. This assay utilizes a new and well-characterized PRPF31+/- human retinal cell line generated using CRISPR gene editing, which allows testing of PRPF31 variants which may be causing disease through either haploinsufficiency or dominant negative effects, or a combination of both. The mutant cells have significantly fewer cilia than wild-type cells, allowing rescue of ciliogenesis with benign or mild variants, but do not totally lack cilia, so dominant negative effects can be observed. The results of the assay provide BS3_supporting evidence to the benign classification of two novel uncharacterized PRPF31 variants and suggest that one novel uncharacterized PRPF31 variant may be pathogenic. We hope that this will be a useful tool for clinical characterisation of PRPF31 variants of unknown significance, and can be extended to variant classification in other ciliopathies.

Published
2020
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40. Clonal myelopoiesis in the UK Biobank cohort: ASXL1 mutations are strongly associated with smoking

Author

Ahmed A Z, Dawoud, William J, Tapper, and Nicholas C P, Cross

Subjects
Chromosome Aberrations, Male, Myelopoiesis, Smoking, Middle Aged, United Kingdom, Clone Cells, Hematopoiesis, Cohort Studies, Repressor Proteins, Mutation, Humans, Female, Biological Specimen Banks, Genome-Wide Association Study
Abstract

We sought to determine the significance of myeloid clonal hematopoiesis (CH) in the UK Biobank cohort (n = 502,524, median age = 58 years). Utilizing SNP array (n = 486,941) and whole exome sequencing data (n = 49,956), we identified 1166 participants with myeloid CH, defined by myeloid-associated mosaic chromosome abnormalities (mCA) and/or likely somatic driver mutations in DNMT3A, TET2, ASXL1, JAK2, SRSF2, or PPM1D. Myeloid CH increased by 1.1-fold per annum (myeloid mCA, P = 1.57 × 10

Published
2020

41. Prediction of contralateral breast cancer: external validation of risk calculators in 20 international cohorts

Author

Kamila Czene, John L. Hopper, Audrey Y. Jung, William J. Tapper, Sabine Siesling, Camilla Wendt, Daniele Giardiello, Stig E. Bojesen, Michael Hauptmann, Maartje J. Hooning, Pieter J. Westenend, Alison M. Dunning, Diana Eccles, Peter Devilee, Linetta B. Koppert, Delal Akdeniz, Henrik Flyger, Chantal Van Ongeval, Luigi Mariani, Mitul Shah, Saskia Pelders, Muriel A. Adank, Agnes Jager, Jan Lubinski, Melissa C. Southey, Manjeet K. Bolla, Flora E. van Leeuwen, Carl Blomqvist, Anna Jakubowska, Paul D.P. Pharoah, Jenny Chang-Claude, Douglas F. Easton, Laura J. van't Veer, Renske Keeman, Qin Wang, Alexandra J. van den Broek, Hester S. A. Oldenburg, Carolien H.M. van Deurzen, Lothar Haeberle, Per Hall, Rob A. E. M. Tollenaar, Mariël Brinkhuis, Jonine D. Figueroa, Ute Hamann, J. Blom, Montserrat Garcia-Closas, Mehdi Manoochehri, Peter A. Fasching, Diether Lambrechts, Ewout W. Steyerberg, Iris Kramer, Marjanka K. Schmidt, Vincent T.H.B.M. Smit, Christopher A. Haiman, Loic Le Marchand, Annika Lindblom, Heli Nevanlinna, Public Health, and Medical Oncology

Subjects
0301 basic medicine, Cancer Research, IMPACT, Receptor, ErbB-2, Contralateral breast cancer, Cohort Studies, 0302 clinical medicine, Clinical decision making, Risk Factors, Validation, MUTATION, Mastectomy, CALIBRATION, education.field_of_study, Neoplasms, Second Primary, Prognosis, Risk prediction, 3. Good health, Oncology, Receptors, Estrogen, 030220 oncology & carcinogenesis, Female, Life Sciences & Biomedicine, Clinical decision-making, Adult, medicine.medical_specialty, MODELS, Population, Breast Neoplasms, Risk Assessment, Article, 03 medical and health sciences, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, medicine, Humans, In patient, education, Science & Technology, business.industry, External validation, International Agencies, medicine.disease, Confidence interval, 030104 developmental biology, business, Follow-Up Studies
Abstract

BACKGROUND: Three tools are currently available to predict the risk of contralateral breast cancer (CBC). We aimed to compare the performance of the Manchester formula, CBCrisk, and PredictCBC in patients with invasive breast cancer (BC). METHODS: We analyzed data of 132,756 patients (4682 CBC) from 20 international studies with a median follow-up of 8.8 years. Prediction performance included discrimination, quantified as a time-dependent Area-Under-the-Curve (AUC) at 5 and 10 years after diagnosis of primary BC, and calibration, quantified as the expected-observed (E/O) ratio at 5 and 10 years and the calibration slope. RESULTS: The AUC at 10 years was: 0.58 (95% confidence intervals [CI] 0.57-0.59) for CBCrisk; 0.60 (95% CI 0.59-0.61) for the Manchester formula; 0.63 (95% CI 0.59-0.66) and 0.59 (95% CI 0.56-0.62) for PredictCBC-1A (for settings where BRCA1/2 mutation status is available) and PredictCBC-1B (for the general population), respectively. The E/O at 10 years: 0.82 (95% CI 0.51-1.32) for CBCrisk; 1.53 (95% CI 0.63-3.73) for the Manchester formula; 1.28 (95% CI 0.63-2.58) for PredictCBC-1A and 1.35 (95% CI 0.65-2.77) for PredictCBC-1B. The calibration slope was 1.26 (95% CI 1.01-1.50) for CBCrisk; 0.90 (95% CI 0.79-1.02) for PredictCBC-1A; 0.81 (95% CI 0.63-0.99) for PredictCBC-1B, and 0.39 (95% CI 0.34-0.43) for the Manchester formula. CONCLUSIONS: Current CBC risk prediction tools provide only moderate discrimination and the Manchester formula was poorly calibrated. Better predictors and re-calibration are needed to improve CBC prediction and to identify low- and high-CBC risk patients for clinical decision-making. ispartof: BREAST CANCER RESEARCH AND TREATMENT vol:181 issue:2 pages:423-434 ispartof: location:Netherlands status: published

Published
2020

42. Single-cell exomes in an index case of amp1q21 multiple myeloma reveal more diverse mutanomes than the whole population

Author

Surinder S. Sahota, William J. Tapper, Dean Bryant, Li Song, Andrew Collins, Shengtao Xu, Niklas Zojer, Arnold Bolomsky, and Nicola J. Weston-Bell

Subjects
0301 basic medicine, Immunology, Population, Computational biology, Biology, medicine.disease_cause, Biochemistry, Genome, 03 medical and health sciences, Exome Sequencing, Genetic variation, medicine, Humans, Exome, Letter to Blood, education, Index case, Exome sequencing, education.field_of_study, Mutation, Genetic Variation, Cancer, Cell Biology, Hematology, medicine.disease, Genetics, Population, 030104 developmental biology, Chromosomes, Human, Pair 1, Single-Cell Analysis, Multiple Myeloma
Abstract

TO THE EDITOR: A focus on defining genomic mutations at the whole population level in cancer may underestimate clonal plasticity in the tumor genome and how it generates genetic variation between individual single cells (SCs). This may have an impact on understanding cancer evolution and biological

Published
2018

43. Germline variation in ADAMTSL1 is associated with prognosis following breast cancer treatment in young women

Author

Fergus J. Couch, Brigitte Rack, Diana Eccles, Peter A. Fasching, Wolfgang Janni, Lorraine Durcan, Sofia Khan, Latha Kadalayil, John L. Hopper, Sue Gerty, William J. Tapper, Tom Maishman, Andrew Collins, Heli Nevanlinna, Jianjun Liu, Carl Blomqvist, Department of Obstetrics and Gynecology, Clinicum, University of Helsinki, Department of Oncology, and HUS Comprehensive Cancer Center

Subjects
0301 basic medicine, Oncology, General Physics and Astronomy, SUSCEPTIBILITY, VARIANTS, ANNOTATION, Germline, ADAMTS Proteins, 0302 clinical medicine, TUMOR PHENOTYPE, 3123 Gynaecology and paediatrics, lcsh:Science, skin and connective tissue diseases, GENE-EXPRESSION, Aged, 80 and over, RISK, Extracellular Matrix Proteins, Multidisciplinary, Incidence (epidemiology), METHYLATION, Middle Aged, Prognosis, 3. Good health, GENOME, Treatment Outcome, 030220 oncology & carcinogenesis, Female, Adult, medicine.medical_specialty, Adolescent, Science, 3122 Cancers, Antineoplastic Agents, Breast Neoplasms, Single-nucleotide polymorphism, Quantitative trait locus, Amphiregulin, Polymorphism, Single Nucleotide, Article, Disease-Free Survival, General Biochemistry, Genetics and Molecular Biology, Young Adult, 03 medical and health sciences, AGE, Breast cancer, Internal medicine, Genetic variation, medicine, Humans, Pathological, Germ-Line Mutation, Survival analysis, Aged, IDENTIFICATION, business.industry, General Chemistry, medicine.disease, 030104 developmental biology, Cancer research, lcsh:Q, business, Genome-Wide Association Study
Abstract

To identify genetic variants associated with breast cancer prognosis we conduct a meta-analysis of overall survival (OS) and disease-free survival (DFS) in 6042 patients from four cohorts. In young women, breast cancer is characterized by a higher incidence of adverse pathological features, unique gene expression profiles and worse survival, which may relate to germline variation. To explore this hypothesis, we also perform survival analysis in 2315 patients aged ≤ 40 years at diagnosis. Here, we identify two SNPs associated with early-onset DFS, rs715212 (P meta = 3.54 × 10−5) and rs10963755 (P meta = 3.91 × 10−4) in ADAMTSL1. The effect of these SNPs is independent of classical prognostic factors and there is no heterogeneity between cohorts. Most importantly, the association with rs715212 is noteworthy (FPRP, Genetic variance can influence breast cancer prognosis. Here, the authors conduct a meta-analysis to explore genetic variance linked to breast cancer in young women, identifying a prognostic association with germline variation of ADAMTSL1.

Published
2017

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

Author

Christine L. Clarke, Pierre Laurent-Puig, Mary B. Daly, Jacek Gronwald, Douglas F. Easton, M. B. Terry, Dominique Stoppa-Lyonnet, Mads Thomassen, Fergus J. Couch, José A. García-Sáenz, Mariarosaria Calvello, Florentia Fostira, Nadine Tung, Manuela Gago-Dominguez, Gad Rennert, Ute Hamann, Brigitte Rack, Csilla Szabo, Rudolf Kaaks, Kamila Czene, Simon A. Gayther, Sabine Behrens, John L. Hopper, kConFab Investigators, Barbara Burwinkel, Anne-Vibeke Lænkholm, Elaine F. Harkness, Audrey Y. Jung, János Papp, Usha Menon, Stephen J. Chanock, Lenka Foretova, Andrew K. Godwin, Snezhana Smichkoska, William J. Tapper, Melissa Christiaens, Muhammad Usman Rashid, Per Hall, Ana Vega, Elke M van Veen, Kathleen Claes, Pascal Guénel, Jennifer T. Loud, Roger L. Milne, Vessela N. Kristensen, Katarzyna Białkowska, Xia Jiang, Manuel R. Teixeira, Antoinette Hollestelle, Debra Frost, Noura Mebirouk, Beth N. Peshkin, Olufunmilayo I. Olopade, Bernd Holleczek, Andreas Schneeweiss, Hermann Brenner, Jeffrey N. Weitzel, Goska Leslie, Stig E. Bojesen, Peter J. Hulick, Xiaohong R. Yang, Mark S. Goldberg, Ignacio Briceño, Heli Nevanlinna, Maren T. Scheuner, Thilo Dörk, John J. Spinelli, Tracy A. O'Mara, Maria A. Caligo, Claire Mulot, Nick Orr, Anna González-Neira, Sara Y Brucker, Darcy L. Thull, Darya Prokofyeva, Paul L. Auer, Hans Wildiers, Jan Lubinski, Jose E. Castelao, Diana Eccles, Priyanka Sharma, Jonine D. Figueroa, Maria Elena Martinez, Wendy K. Chung, Rulla M. Tamimi, Taru A. Muranen, Wing-Yee Lo, Rob A. E. M. Tollenaar, Thomas Rüdiger, Natalia Bogdanova, Louise Izatt, Ben Schöttker, Thomas U. Ahearn, Hedy S. Rennert, Claudine Isaacs, Embrace Study, Jennifer Stone, Jolanta Lissowska, D. Gareth Evans, Matthias W. Beckmann, Peter Schürmann, Qin Wang, Orland Diez, Christopher R. Hake, Mehdi Manoochehri, Peter A. Fasching, Lesley McGuffog, Haoyu Zhang, Joe Dennis, Hanna Huebner, Judy Garber, Drakoulis Yannoukakos, Kenneth Offit, Yon-Dschun Ko, Celine M. Vachon, Robert N. Hoover, Marc Tischkowitz, Pooja Middha Kapoor, Agnes Jager, Davide Bondavalli, Melissa C. Southey, Ramunas Janavicius, Finn Cilius Nielsen, Marjanka K. Schmidt, Edith Olah, Laura Papi, Conxi Lázaro, Arif B. Ekici, Paolo Radice, Austin Miller, Kristan J. Aronson, Harvey A. Risch, Jack A. Taylor, Robert Winqvist, Jacques Simard, Catriona McLean, Michael T. Parsons, Wei Zheng, Linetta B. Koppert, Susan M. Gapstur, Georgia Chenevix-Trench, Susan M. Domchek, Tjoung-Won Park-Simon, Zumuruda Abu Ful, Javier Benitez, Clarice R. Weinberg, Kyriaki Michailidou, Alfons Meindl, Mia M. Gaudet, David E. Goldgar, Anna Jakubowska, Paul D.P. Pharoah, Ana Blanco, Nilanjan Chatterjee, Montserrat Garcia-Closas, Thomas Brüning, Rita K. Schmutzler, Lizet E. van der Kolk, Peter Hillemanns, Beth Y. Karlan, Hoda Anton-Culver, Ans M.W. van den Ouweland, Banu Arun, J. Peto, Anthony J. Swerdlow, Marco Montagna, Ana Peixoto, Emmanouil Saloustros, Peter Kraft, Mark H. Greene, Evgeny N. Imyanitov, Siranoush Manoukian, Diether Lambrechts, Ian Tomlinson, Thérèse Truong, Amanda E. Toland, Anna Marie Mulligan, Milena Jakimovska, Dijana Plaseska-Karanfilska, Kristiina Aittomäki, Johanna Rantala, Kelly-Anne Phillips, Melissa A. Troester, Michael Untch, Susan J. Ramus, Arto Mannermaa, Christian F. Singer, Abctb Investigators, Bernard Peissel, Daniel Barrowdale, Elinor J. Sawyer, Jacopo Azzollini, Leigha Senter, Antonis C. Antoniou, Barbara Wappenschmidt, Hiltrud Brauch, Heiko Becher, Julie Lecarpentier, Sarah Sampson, Jonathan Beesley, Eitan Friedman, Dale P. Sandler, Minouk J. Schoemaker, Irene L. Andrulis, Paolo Peterlongo, Saundra S. Buys, Stella Koutros, Lothar Häberle, Christopher A. Haiman, Fabienne Lesueur, Cari M. Kitahara, Peter Devilee, Kristin K. Zorn, Karolina Prajzendanc, Monica Zuradelli, Simon S. Cross, William G. Newman, Ni Zhao, Jesse Nodora, Susanna C. Larsson, Helen Byers, Flavio Lejbkowicz, Trinidad Caldés, Eric Hahnen, Laura Matricardi, Daniel R. Barnes, Mark E. Sherman, Åke Borg, Angela Cox, Maartje J. Hooning, Anthony Howell, Volker Arndt, Diana Torres, Penny Soucy, Bernardo Bonanni, Ross L. Prentice, Marion Piedmonte, Xiao-Ou Shu, Elvira Mingazheva, Elza Khusnutdinova, Patrick Neven, Renske Keeman, Matti A. Rookus, Manjeet K. Bolla, Atocha Romero, Robert J. MacInnis, Jenny Chang-Claude, Irene Konstantopoulou, Emilija Lazarova, Annegien Broeks, Carl Blomqvist, Annika Lindblom, Bernadette A M Heemskerk-Gerritsen, Matthias Rübner, Graham G. Giles, Hans Christiansen, Liene Nikitina-Zake, Håkan Olsson, Wolfgang Janni, Sofia Khan, Katherine L. Nathanson, Alicja Lukomska, Miriam Dwek, Sara Margolin, Susan L. Neuhausen, Marina Bermisheva, Alicja Wolk, Elizabeth J. van Rensburg, Michael Jones, Frans B. L. Hogervorst, Esther M. John, Alison M. Dunning, Daniele Campa, Guanghao Qi, Sten Cornelissen, and Paul A. James

Subjects
0303 health sciences, Estrogen receptor, Genome-wide association study, Biology, medicine.disease, Tumor heterogeneity, 3. Good health, Tumor Subtype, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, 030220 oncology & carcinogenesis, Progesterone receptor, Susceptibility locus, medicine, Cancer research, Human Epidermal Growth Factor Receptor 2, 030304 developmental biology
Abstract

Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype. To identify novel loci, we performed a genome-wide association study (GWAS) including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) status and tumor grade. We identified 32 novel susceptibility loci (P-8), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate PIn-silico analyses showed these five loci contained cell-specific enhancers that differed between normal luminal and basal mammary cells. The genetic correlations between five intrinsic-like subtypes ranged from 0.35 to 0.80. The proportion of genome-wide chip heritability explained by all known susceptibility loci was 37.6% for triple-negative and 54.2% for luminal A-like disease. These findings provide an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.

Published
2019
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45. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

Author

Haoyu, Zhang, Thomas U, Ahearn, Julie, Lecarpentier, Daniel, Barnes, Jonathan, Beesley, Guanghao, Qi, Xia, Jiang, Tracy A, O'Mara, Ni, Zhao, Manjeet K, Bolla, Alison M, Dunning, Joe, Dennis, Qin, Wang, Zumuruda Abu, Ful, Kristiina, Aittomäki, Irene L, Andrulis, Hoda, Anton-Culver, Volker, Arndt, Kristan J, Aronson, Banu K, Arun, Paul L, Auer, Jacopo, Azzollini, Daniel, Barrowdale, Heiko, Becher, Matthias W, Beckmann, Sabine, Behrens, Javier, Benitez, Marina, Bermisheva, Katarzyna, Bialkowska, Ana, Blanco, Carl, Blomqvist, Natalia V, Bogdanova, Stig E, Bojesen, Bernardo, Bonanni, Davide, Bondavalli, Ake, Borg, Hiltrud, Brauch, Hermann, Brenner, Ignacio, Briceno, Annegien, Broeks, Sara Y, Brucker, Thomas, Brüning, Barbara, Burwinkel, Saundra S, Buys, Helen, Byers, Trinidad, Caldés, Maria A, Caligo, Mariarosaria, Calvello, Daniele, Campa, Jose E, Castelao, Jenny, Chang-Claude, Stephen J, Chanock, Melissa, Christiaens, Hans, Christiansen, Wendy K, Chung, Kathleen B M, Claes, Christine L, Clarke, Sten, Cornelissen, Fergus J, Couch, Angela, Cox, Simon S, Cross, Kamila, Czene, Mary B, Daly, Peter, Devilee, Orland, Diez, Susan M, Domchek, Thilo, Dörk, Miriam, Dwek, Diana M, Eccles, Arif B, Ekici, D Gareth, Evans, Peter A, Fasching, Jonine, Figueroa, Lenka, Foretova, Florentia, Fostira, Eitan, Friedman, Debra, Frost, Manuela, Gago-Dominguez, Susan M, Gapstur, Judy, Garber, José A, García-Sáenz, Mia M, Gaudet, Simon A, Gayther, Graham G, Giles, Andrew K, Godwin, Mark S, Goldberg, David E, Goldgar, Anna, González-Neira, Mark H, Greene, Jacek, Gronwald, Pascal, Guénel, Lothar, Häberle, Eric, Hahnen, Christopher A, Haiman, Christopher R, Hake, Per, Hall, Ute, Hamann, Elaine F, Harkness, Bernadette A M, Heemskerk-Gerritsen, Peter, Hillemanns, Frans B L, Hogervorst, Bernd, Holleczek, Antoinette, Hollestelle, Maartje J, Hooning, Robert N, Hoover, John L, Hopper, Anthony, Howell, Hanna, Huebner, Peter J, Hulick, Evgeny N, Imyanitov, Claudine, Isaacs, Louise, Izatt, Agnes, Jager, Milena, Jakimovska, Anna, Jakubowska, Paul, James, Ramunas, Janavicius, Wolfgang, Janni, Esther M, John, Michael E, Jones, Audrey, Jung, Rudolf, Kaaks, Pooja Middha, Kapoor, Beth Y, Karlan, Renske, Keeman, Sofia, Khan, Elza, Khusnutdinova, Cari M, Kitahara, Yon-Dschun, Ko, Irene, Konstantopoulou, Linetta B, Koppert, Stella, Koutros, Vessela N, Kristensen, Anne-Vibeke, Laenkholm, Diether, Lambrechts, Susanna C, Larsson, Pierre, Laurent-Puig, Conxi, Lazaro, Emilija, Lazarova, Flavio, Lejbkowicz, Goska, Leslie, Fabienne, Lesueur, Annika, Lindblom, Jolanta, Lissowska, Wing-Yee, Lo, Jennifer T, Loud, Jan, Lubinski, Alicja, Lukomska, Robert J, MacInnis, Arto, Mannermaa, Mehdi, Manoochehri, Siranoush, Manoukian, Sara, Margolin, Maria Elena, Martinez, Laura, Matricardi, Lesley, McGuffog, Catriona, McLean, Noura, Mebirouk, Alfons, Meindl, Usha, Menon, Austin, Miller, Elvira, Mingazheva, Marco, Montagna, Anna Marie, Mulligan, Claire, Mulot, Taru A, Muranen, Katherine L, Nathanson, Susan L, Neuhausen, Heli, Nevanlinna, Patrick, Neven, William G, Newman, Finn C, Nielsen, Liene, Nikitina-Zake, Jesse, Nodora, Kenneth, Offit, Edith, Olah, Olufunmilayo I, Olopade, Håkan, Olsson, Nick, Orr, Laura, Papi, Janos, Papp, Tjoung-Won, Park-Simon, Michael T, Parsons, Bernard, Peissel, Ana, Peixoto, Beth, Peshkin, Paolo, Peterlongo, Julian, Peto, Kelly-Anne, Phillips, Marion, Piedmonte, Dijana, Plaseska-Karanfilska, Karolina, Prajzendanc, Ross, Prentice, Darya, Prokofyeva, Brigitte, Rack, Paolo, Radice, Susan J, Ramus, Johanna, Rantala, Muhammad U, Rashid, Gad, Rennert, Hedy S, Rennert, Harvey A, Risch, Atocha, Romero, Matti A, Rookus, Matthias, Rübner, Thomas, Rüdiger, Emmanouil, Saloustros, Sarah, Sampson, Dale P, Sandler, Elinor J, Sawyer, Maren T, Scheuner, Rita K, Schmutzler, Andreas, Schneeweiss, Minouk J, Schoemaker, Ben, Schöttker, Peter, Schürmann, Leigha, Senter, Priyanka, Sharma, Mark E, Sherman, Xiao-Ou, Shu, Christian F, Singer, Snezhana, Smichkoska, Penny, Soucy, Melissa C, Southey, John J, Spinelli, Jennifer, Stone, Dominique, Stoppa-Lyonnet, Anthony J, Swerdlow, Csilla I, Szabo, Rulla M, Tamimi, William J, Tapper, Jack A, Taylor, Manuel R, Teixeira, MaryBeth, Terry, Mads, Thomassen, Darcy L, Thull, Marc, Tischkowitz, Amanda E, Toland, Rob A E M, Tollenaar, Ian, Tomlinson, Diana, Torres, Melissa A, Troester, Thérèse, Truong, Nadine, Tung, Michael, Untch, Celine M, Vachon, Ans M W, van den Ouweland, Lizet E, van der Kolk, Elke M, van Veen, Elizabeth J, vanRensburg, Ana, Vega, Barbara, Wappenschmidt, Clarice R, Weinberg, Jeffrey N, Weitzel, Hans, Wildiers, Robert, Winqvist, Alicja, Wolk, Xiaohong R, Yang, Drakoulis, Yannoukakos, Wei, Zheng, Kristin K, Zorn, Roger L, Milne, Peter, Kraft, Jacques, Simard, Paul D P, Pharoah, Kyriaki, Michailidou, Antonis C, Antoniou, Marjanka K, Schmidt, Georgia, Chenevix-Trench, Douglas F, Easton, Nilanjan, Chatterjee, and Montserrat, García-Closas

Subjects
BRCA1 Protein, Case-Control Studies, Mutation, Humans, Breast Neoplasms, Female, Genetic Predisposition to Disease, Triple Negative Breast Neoplasms, Linkage Disequilibrium, Article, Genome-Wide Association Study
Abstract

Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1–3. To identify novel loci, we performed a genome-wide association study (GWAS) including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) status and tumor grade. We identified 32 novel susceptibility loci (P < 5.0 × 10−8), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate (FDR)

Published
2019

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

Author

Harald Surowy, Rulla M. Tamimi, Javier Benitez, Wing-Yee Lo, Celine M. Vachon, Nadege Presneau, John J. Spinelli, Ann Smeets, Hoda Anton-Culver, Veli-Matti Kosma, Christopher A. Haiman, Martha J. Shrubsole, Ross L. Prentice, Diana Eccles, Ursula Eilber, Loic Le Marchand, Katri Pylkäs, Jirong Long, Michael P. Lux, Sara Margolin, Hedy S. Rennert, Tom Maishman, Mary B. Daly, Rita K. Schmutzler, Julian Peto, Sune F. Nielsen, Eric Hahnen, Niclas Håkansson, Børge G. Nordestgaard, Mitul Shah, Matthias W. Beckmann, Anthony J. Swerdlow, Barbara Burwinkel, Rudolf Kaaks, Usha Menon, William J. Tapper, Argyrios Ziogas, Peter Hillemanns, Fares Al-Ejeh, Roger L. Milne, Wolfgang Janni, Pascal Guénel, Mikael Eriksson, Clarice R. Weinberg, Kyriaki Michailidou, Jonathan Beesley, Marike Gabrielson, J. Esteban Castelao, Margriet Collée, Janet E. Olson, Gad Rennert, Per Broberg, Rob A. E. M. Tollenaar, David Cox, Paolo Peterlongo, Helian Feng, Brian D. Carter, Nichola Johnson, Emmanouil Saloustros, Dijana Plaseska-Karanfilska, Kimberly F. Doheny, Paul L. Auer, Hans Wildiers, Jacques Simard, Michael Untch, Per Hall, Martine Dumont, Julie M. Cunningham, Thilo Dörk, Mary Beth Terry, Jenny Chang-Claude, Lang Wu, Irene L. Andrulis, Xiaohong R. Yang, Caroline Baynes, Isabel dos-Santos-Silva, Douglas F. Easton, Wei Shi, Emily Hallberg, Camilla Wendt, Hiltrud Brauch, Diana Torres, Olufunmilayo I. Olopade, David Van Den Berg, Georgia Chenevix-Trench, Alfons Meindl, Stig E. Bojesen, Jonine D. Figueroa, Dale P. Sandler, Vessela N. Kristensen, Christine L. Clarke, Wei Zheng, Manuela Gago-Dominguez, E Rozali, Henrik Flyger, Sheila Seal, Guanmengqian Huang, Marjanka K. Schmidt, Håkan Olsson, Christopher G. Scott, Kamila Czene, Laura Fachal, Rodney J. Scott, Jennifer Stone, Sara Y. Brucker, Qin Wang, David J. Hunter, Maya Ghoussaini, Christoph Engel, Keith Humphreys, Susan M. Gapstur, Daniel C. Tessier, Paolo Radice, John L. Hopper, Audrey Y. Jung, Lucy Xia, Atocha Romero, Chenjie Zeng, Peter A. Fasching, Jan Lubinski, Anna González-Neira, Nazneen Rahman, Robert N. Hoover, Thérèse Truong, Fergus J. Couch, Anna Marie Mulligan, Robert J. MacInnis, Ute Hamann, Hanne Meijers-Heijboer, Brigitte Rack, Simon S. Cross, Federico Canzian, J.-P. Meyer, Sara Lindström, Natalia Bogdanova, Trinidad Caldés, Olivia Fletcher, Peter Kraft, Elinor J. Sawyer, Alexander Gusev, Louise A. Brinton, Diether Lambrechts, Bingshan Li, Kristan J. Aronson, Jane Romm, Anja Rudolph, Peter Devilee, Qiuyin Cai, Arto Mannermaa, Elad Ziv, Alice S. Whittemore, Abigail Thomas, Hermann Brenner, Montserrat Garcia-Closas, Patrick Neven, Kristine Jones, Miriam Dwek, Sibylle Loibl, Heli Nevanlinna, Jolanta Lissowska, Susan L. Neuhausen, Elza Khusnutdinova, Marina Bermisheva, Alicja Wolk, Lin Fritschi, Xingyi Guo, Angela Cox, Michael Jones, Xiaoqing Chen, Esther M. John, Richard Barfield, Volker Arndt, Patricia Harrington, Quinten Waisfisz, Daniel Vincent, Antoinette Hollestelle, Dimitrios Mavroudis, JoAnn E. Manson, Joe Dennis, Walter C. Willett, Stacey L. Edwards, Melissa C. Southey, Andreas Schneeweiss, Jack A. Taylor, Robert Winqvist, Mia M. Gaudet, David E. Goldgar, Anna Jakubowska, Paul D.P. Pharoah, Kathrin Thöne, Dieter Flesch-Janys, Mark S. Goldberg, Craig Luccarini, Sten Cornelissen, Jingmei Li, Michael J. Kerin, Myrto Barrdahl, Xiao-Ou Shu, Alison M. Dunning, Manjeet K. Bolla, Carl Blomqvist, Graham G. Giles, Hans Christiansen, A. Heather Eliassen, Valerie Rhenius, Alexander Hein, Belynda Hicks, Ivana Maleva Kostovska, Tongguang Cheng, Yingchang Lu, CCA - Cancer biology and immunology, Amsterdam Neuroscience - Complex Trait Genetics, Human genetics, Amsterdam Reproduction & Development (AR&D), Clinical Genetics, Medical Oncology, Guo, Xingyi [0000-0001-5269-1294], Al-Ejeh, Fares [0000-0002-1553-0077], Li, Bingshan [0000-0003-2129-168X], Gusev, Alexander [0000-0002-7980-4620], Andrulis, Irene L [0000-0002-4226-6435], Arndt, Volker [0000-0001-9320-8684], Brauch, Hiltrud [0000-0001-7531-2736], Collée, Margriet [0000-0002-9272-9346], Cox, Angela [0000-0002-5138-1099], Cunningham, Julie M [0000-0002-8159-3025], Fachal, Laura [0000-0002-7256-9752], Fletcher, Olivia [0000-0001-9387-7116], Hein, Alexander [0000-0003-2601-3398], Hicks, Belynda [0000-0001-8014-4888], Hollestelle, Antoinette [0000-0003-1166-1966], Jakubowska, Anna [0000-0002-5650-0501], Khusnutdinova, Elza [0000-0003-2987-3334], Li, Jingmei [0000-0001-8587-7511], Menon, Usha [0000-0003-3708-1732], Nevanlinna, Heli [0000-0002-0916-2976], Nordestgaard, Børge G [0000-0002-1954-7220], Pylkäs, Katri [0000-0002-2449-0521], Rennert, Gad [0000-0002-8512-068X], Romero, Atocha [0000-0002-1634-7397], Saloustros, Emmanouil [0000-0002-0485-0120], Scott, Christopher G [0000-0003-1340-0647], Shrubsole, Martha J [0000-0002-5591-7575], Wolk, Alicja [0000-0001-7387-6845], Ziogas, Argyrios [0000-0003-4529-3727], Pharoah, Paul DP [0000-0001-8494-732X], Milne, Roger L [0000-0001-5764-7268], Easton, Douglas F [0000-0003-2444-3247], Zheng, Wei [0000-0003-1226-070X], Apollo - University of Cambridge Repository, Human Genetics, and ARD - Amsterdam Reproduction and Development

Subjects
0301 basic medicine, Risk, medicine.medical_specialty, Gene Expression, Genome-wide association study, Breast Neoplasms, Biology, Genome-wide association studies, Polymorphism, Single Nucleotide, Article, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, SDG 3 - Good Health and Well-being, Genetic model, Genetics, medicine, Humans, Genetic Predisposition to Disease, Genetic association, medicine.disease, 3. Good health, 030104 developmental biology, 030220 oncology & carcinogenesis, Case-Control Studies, Expression quantitative trait loci, Medical genetics, Female, Gene expression, Breast Cancer Genetics, Genome-Wide Association Study
Abstract

The breast cancer risk variants identified in genome-wide association studies explain only a small fraction of the familial relative risk, and the genes responsible for these associations remain largely unknown. To identify novel risk loci and likely causal genes, we performed a transcriptome-wide association study evaluating associations of genetically predicted gene expression with breast cancer risk in 122,977 cases and 105,974 controls of European ancestry. We used data from the Genotype-Tissue Expression Project to establish genetic models to predict gene expression in breast tissue and evaluated model performance using data from The Cancer Genome Atlas. Of the 8,597 genes evaluated, significant associations were identified for 48 at a Bonferroni-corrected threshold of P −6, including 14 genes at loci not yet reported for breast cancer. We silenced 13 genes and showed an effect for 11 on cell proliferation and/or colony-forming efficiency. Our study provides new insights into breast cancer genetics and biology.

Published
2019

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

Author

Wing-Yee Lo, Dhanya Ramachandran, Christos Petridis, Fernando Salvador Moreno, Tongguang Cheng, Bernardo Bonanni, Ann Smeets, Susan E. Hankinson, Caroline Seynaeve, Suet-Feung Chin, Vessela N. Kristensen, Christopher G. Scott, Javier Benitez, William T. Newman, Brigitte Rack, Marjanka K. Schmidt, Diether Lambrechts, Alfons Meindl, Maria Escala-Garcia, Hoda Anton-Culver, Veli-Matti Kosma, Nadege Presneau, Daniel F. Schmidt, Douglas F. Easton, Ans M.W. van den Ouweland, Emmanouil Saloustros, Antoinette Hollestelle, Darya Prokofieva, Elinor J. Sawyer, Louise A. Brinton, Manuela Gago-Dominguez, Minouk J. Schoemaker, Robert N. Hoover, Fergus J. Couch, Ute Hamann, Eva Galle, Catriona McLean, Georgia Chenevix-Trench, Tjoung-Won Park-Simon, Per Hall, Jaana M. Hartikainen, Leslie Bernstein, Jose Ignacio Arias Perez, Flavio Lejbkowicz, Qi Guo, Brian D. Carter, Martha S. Linet, Fredrick R. Schumacher, Yan Zhang, Mikael Eriksson, Hiltrud Brauch, Janet A. Dunn, Gord Glendon, Bernd Holleczek, William J. Tapper, Marike Gabrielson, Keith Humphreys, Rodney J. Scott, Tabea Kühl, Lorraine Durcan, David J. Hunter, Pascal Guénel, Tom Maishman, Mary B. Daly, Rami Nassir, Andreas Schneeweiss, Kamila Czene, Jonine D. Figueroa, Grethe I. Grenaker Alnæs, Julia A. Knight, Angel Carracedo, Susan M. Gapstur, Manuel R. Teixeira, Guanmengqian Huang, Paul L. Auer, Sara Y. Brucker, Johanna I. Kiiski, Adam R. Brentnall, Simon S. Cross, Joe Dennis, Nicola Miller, Walter C. Willett, Melissa C. Southey, Christoph Engel, Niclas Håkansson, Diana Eccles, John L. Hopper, Elaine F. Harkness, Audrey Y. Jung, Trinidad Caldés, Steven N. Hart, Sara Lindström, Michael P. Lux, Julie Lecarpentier, Lian Li, Robert Winqvist, Peter Kraft, Stephen J. Chanock, Thilo Dörk, Melanie Maierthaler, Rudolf Kaaks, Angela Cox, Maartje J. Hooning, José A. García-Sáenz, Christi J. van Asperen, Mervi Grip, Enes Makalic, Mia M. Gaudet, David E. Goldgar, Ross L. Prentice, Carolina Ellberg, Sune F. Nielsen, Federico Canzian, Rebecca Roylance, Aline Talhouk, Vassilios Georgoulias, Eunjung Lee, Siranoush Manoukian, Sara Margolin, Paul D.P. Pharoah, Hedy S. Rennert, Mitul Shah, Matthias W. Beckmann, Anthony Howell, Anne Lise Børresen-Dale, Christopher A. Haiman, V. Shane Pankratz, Anna González-Neira, Kathrin Thöne, Ian Tomlinson, Thérèse Truong, Anna Marie Mulligan, Ute Krüger, Mehdi Manoochehri, Arja Jukkola-Vuorinen, Loic Le Marchand, Katri Pylkäs, Peter Hillemanns, Dieter Flesch-Janys, Volker Arndt, Peter A. Fasching, Christine L. Clarke, Louise Hiller, Eric Hahnen, Jan Lubinski, Jose E. Castelao, Roger L. Milne, Linetta B. Koppert, Peter Devilee, Rob A. E. M. Tollenaar, Ian W. Brock, Claire Mulot, Mila Pinchev, Carlos Caldas, Michael Untch, Gadi Rennert, Aaron D. Norman, Per Broberg, Anthony J. Swerdlow, Lothar Haeberle, Heli Nevanlinna, Arto Mannermaa, Irene L. Andrulis, Angela George, Montserrat Garcia-Closas, Jolanta Lissowska, Jonathan Beesley, Paolo Peterlongo, Cari M. Kitahara, Rulla M. Tamimi, Annika Lindblom, Sabine Behrens, Nick Orr, David G. Cox, D. Gareth Evans, Jacques Simard, Diana Torres, Constance Turman, Celine M. Vachon, Qin Wang, Hans-Ulrich Ulmer, Maria Kabisch, Maria Elena Martinez, Paolo Radice, Maria Tengström, Dimitrios Mavroudis, Jean Abraham, Helena M. Earl, Alice S. Whittemore, Hermann Brenner, Rita K. Schmutzler, Børge G. Nordestgaard, Barbara Burwinkel, Michael Jones, Esther M. John, Patricia Harrington, Daniele Campa, Elke M. van Veen, Clara Pérez-Barrios, Susan L. Neuhausen, Marina Bermisheva, Alicja Wolk, Christof Sohn, Elza Khusnutdinova, Michael J. Kerin, Miriam Dwek, Sibylle Loibl, Manjeet K. Bolla, Carl Blomqvist, Sander Canisius, Graham G. Giles, A. Heather Eliassen, Valerie Rhenius, Alexander Hein, Emilie Cordina-Duverger, Arif B. Ekici, Yon-Dschun Ko, Pooja Middha, Alison M. Dunning, Katarzyna Kaczmarek, Bram Boeckx, Mary Beth Terry, Jenny Chang-Claude, Karoliona Prajzendanc, Renske Keeman, Camilla Wendt, Atocha Romero, Stig E. Bojesen, Robert J. MacInnis, Clare Turnbull, Lukas Schwentner, Xiaohong R. Yang, Henrik Flyger, Håkan Olsson, Wolfgang Janni, Sofia Khan, Clinicum, Department of Oncology, University of Helsinki, Department of Obstetrics and Gynecology, HUS Gynecology and Obstetrics, HUS Comprehensive Cancer Center, Medical Oncology, Surgery, and Clinical Genetics

Subjects
Oncology, Cancer Research, PROGNOSIS, Genome-wide association study, PATHWAY, Prognostic markers, Breast cancer, 0302 clinical medicine, Epidemiology of cancer, Cancer genetics, RISK, Hazard ratio, SINGLE-NUCLEOTIDE POLYMORPHISMS, GENETIC-VARIATION, 3. Good health, Receptors, Estrogen, 030220 oncology & carcinogenesis, SURVIVAL, TUMOR SUBTYPES, Female, Chromosomes, Human, Pair 7, EXPRESSION, medicine.medical_specialty, CLINICAL-OUTCOMES, SUSCEPTIBILITY LOCI, 3122 Cancers, Breast Neoplasms, Single-nucleotide polymorphism, Article, White People, NBCS Collaborators, RC0254, 03 medical and health sciences, Germline mutation, SDG 3 - Good Health and Well-being, Internal medicine, medicine, Humans, Proportional Hazards Models, business.industry, Proportional hazards model, Genetic Variation, Cancer, Bayes Theorem, medicine.disease, business, Genome-Wide Association Study
Abstract

Background: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry. Methods: Meta-analyses included summary estimates based on Cox models of twelve datasets using ~10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP). Results: We did not find any variant associated with breast cancer-specific mortality at P < 5 × 10 −8 . For ER-positive disease, the most significantly associated variant was chr7:rs4717568 (BFDP = 7%, P = 1.28 × 10 −7 , hazard ratio [HR] = 0.88, 95% confidence interval [CI] = 0.84–0.92); the closest gene is AUTS2. For ER-negative disease, the most significant variant was chr7:rs67918676 (BFDP = 11%, P = 1.38 × 10 −7 , HR = 1.27, 95% CI = 1.16–1.39); located within a long intergenic non-coding RNA gene (AC004009.3), close to the HOXA gene cluster. Conclusions: We uncovered germline variants on chromosome 7 at BFDP < 15% close to genes for which there is biological evidence related to breast cancer outcome. However, the paucity of variants associated with mortality at genome-wide significance underpins the challenge in providing genetic-based individualised prognostic information for breast cancer patients.

Published
2019

48. PRR14L mutations are associated with chromosome 22 acquired uniparental disomy, age-related clonal hematopoiesis and myeloid neoplasia

Author

Nicola Trim, William J. Tapper, Nicholas C.P. Cross, F. Lin, Andrew Chase, Jacqueline Boultwood, Lars Forsberg, Jan P. Dumanski, Joannah Score, Catherine Bryant, Andrea Pellagatti, Yvette Hoade, Katerina Zoi, Shalini Singh, Bon Ham Yip, and Chiara Rasi

Subjects
Male, 0301 basic medicine, Cancer Research, Myeloid, Chromosomal Proteins, Non-Histone, Chromosomes, Human, Pair 22, PRR14L, Fluorescent Antibody Technique, Chronic myelomonocytic leukemia, Biology, Polymorphism, Single Nucleotide, Article, Myeloid Neoplasm, Loss of heterozygosity, Gene Knockout Techniques, 03 medical and health sciences, 0302 clinical medicine, Exome Sequencing, medicine, Humans, Cellular localization, Myeloproliferative Disorders, CMML, Gene Expression Regulation, Leukemic, Cell Differentiation, Hematology, Uniparental Disomy, medicine.disease, myeloid neoplasms, Phenotype, Uniparental disomy, Hematopoiesis, 3. Good health, 030104 developmental biology, medicine.anatomical_structure, Oncology, Gene Knockdown Techniques, 030220 oncology & carcinogenesis, Mutation, Cancer research, Female, Chromosome 22
Abstract

Acquired uniparental disomy (aUPD, also known as copy-neutral loss of heterozygosity) is a common feature of cancer cells and characterized by extended tracts of somatically-acquired homozygosity without any concurrent loss or gain of genetic material. The presumed genetic targets of many regions of aUPD remain unknown. Here we describe the association of chromosome 22 aUPD with mutations that delete the C-terminus of PRR14L in patients with chronic myelomonocytic leukemia (CMML), related myeloid neoplasms and age-related clonal hematopoiesis (ARCH). Myeloid panel analysis identified a median of three additional mutated genes (range 1–6) in cases with a myeloid neoplasm (n = 8), but no additional mutations in cases with ARCH (n = 2) suggesting that mutated PRR14L alone may be sufficient to drive clonality. PRR14L has very limited homology to other proteins and its function is unknown. ShRNA knockdown of PRR14L in human CD34+ cells followed by in vitro growth and differentiation assays showed an increase in monocytes and decrease in neutrophils, decrease in neutrophils, consistent with a CMML-like phenotype. RNA-Seq and cellular localization studies suggest a role for PRR14L in cell division. PRR14L is thus a novel, biallelically mutated gene and potential founding abnormality in myeloid neoplasms.

Published
2019

49. Cytogenetically cryptic ZMYM2-FLT3 and DIAPH1-PDGFRB gene fusions in myeloid neoplasms with eosinophilia

Author

Andreas Reiter, Marcin Knut, W-K Hofmann, William J. Tapper, M. Ghazzawi, Michael Hallek, Nicholas C.P. Cross, Hans G. Drexler, Nicole Naumann, Andrew Chase, Joannah Score, Louise Wallis, K-A Kreuzer, Alice Fabarius, Bernd Schneider, Georgia Metzgeroth, J. Chacko, and Mohamad Jawhar

Subjects
Male, Cancer Research, Myeloid, Formins, Biology, Article, Receptor, Platelet-Derived Growth Factor beta, Fusion gene, 03 medical and health sciences, Myelogenous, fluids and secretions, 0302 clinical medicine, Leukemia, Myelogenous, Chronic, BCR-ABL Positive, hemic and lymphatic diseases, Eosinophilia, medicine, Humans, Gene, Adaptor Proteins, Signal Transducing, Myeloproliferative Disorders, hemic and immune systems, Hematology, Middle Aged, Protein-Tyrosine Kinases, medicine.disease, Lymphoma, DNA-Binding Proteins, stomatognathic diseases, Leukemia, Haematopoiesis, medicine.anatomical_structure, fms-Like Tyrosine Kinase 3, Oncology, 030220 oncology & carcinogenesis, embryonic structures, Immunology, Cancer research, Female, Gene Fusion, medicine.symptom, Transcription Factors, 030215 immunology
Abstract

Cytogenetically cryptic ZMYM2-FLT3 and DIAPH1-PDGFRB gene fusions in myeloid neoplasms with eosinophilia

Published
2017

50. A Novel PCM1-PDGFRB Fusion in a Patient with a Chronic Myeloproliferative Neoplasm and an ins(8;5)

Author

Varun Mehra, William J. Tapper, Muna Ghazzawi, Loretta Brown, Hugues de Lavallade, Marcin Knut, Nicholas C.P. Cross, and Andrew Chase

Subjects
Male, 0301 basic medicine, Oncogene Proteins, Fusion, Myeloproliferative disease, Antineoplastic Agents, Cell Cycle Proteins, PDGFRB, Autoantigens, Receptor, Platelet-Derived Growth Factor beta, 03 medical and health sciences, Hypereosinophilic Syndrome, medicine, Humans, RNA, Neoplasm, PDGFR beta, Protein Kinase Inhibitors, business.industry, Leukemia, Myelomonocytic, Chronic, Imatinib, Hematology, General Medicine, Middle Aged, Mutagenesis, Insertional, 030104 developmental biology, Chronic Myeloproliferative Neoplasm, Imatinib Mesylate, Cancer research, Chromosomes, Human, Pair 5, business, Chromosomes, Human, Pair 8, medicine.drug
Published
2017

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