Publications

468 Publications visible to you, out of a total of 468

Abstract (Expand)

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 estimatestes 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 \textless 5 \times 10-8. For ER-positive disease, the most significantly associated variant was chr7:rs4717568 (BFDP = 7%, P = 1.28 \times 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 \times 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 \textless 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.

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

Date Published: 1st Mar 2019

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Abstract

Not specified

Authors: Rainer Alt, Jan Fabian Ehmke, Reinhold Haux, Tino Henke, Dirk Christian Mattfeld, Andreas Oberweis, Barbara Paech, Alfred Winter

Date Published: 1st Mar 2019

Publication Type: Journal article

Abstract

Not specified

Authors: Kristina Klaschik, Jan Hauke, Guido Neidhardt, Christian Tränkle, Harald M. Surowy, Stefanie Heilmann-Heimbach, Gunter Rappl, Elisabeth Mangold, Norbert Arnold, Dieter Niederacher, Christian Sutter, Barbara Burwinkel, Christoph Engel, Barbara Wappenschmidt, Alfons Meindl, Corinna Ernst, Konstantin Weber-Lassalle, Nana Weber-Lassalle, Sandra Schmidt, Julika Borde, Rita K. Schmutzler, Eric Hahnen, Esther Pohl-Rescigno

Date Published: 4th Jan 2019

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Abstract (Expand)

Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.

Authors: Nasim Mavaddat, Kyriaki Michailidou, Joe Dennis, Michael Lush, Laura Fachal, Andrew Lee, Jonathan P. Tyrer, Ting-Huei Chen, Qin Wang, Manjeet K. Bolla, Xin Yang, Muriel A. Adank, Thomas Ahearn, Kristiina Aittomäki, Jamie Allen, Irene L. Andrulis, Hoda Anton-Culver, Natalia N. Antonenkova, Volker Arndt, Kristan J. Aronson, Paul L. Auer, Päivi Auvinen, Myrto Barrdahl, Laura E. Beane Freeman, Matthias W. Beckmann, Sabine Behrens, Javier Benitez, Marina Bermisheva, Leslie Bernstein, Carl Blomqvist, Natalia V. Bogdanova, Stig E. Bojesen, Bernardo Bonanni, Anne-Lise Børresen-Dale, Hiltrud Brauch, Michael Bremer, Hermann Brenner, Adam Brentnall, Ian W. Brock, Angela Brooks-Wilson, Sara Y. Brucker, Thomas Brüning, Barbara Burwinkel, Daniele Campa, Brian D. Carter, Jose E. Castelao, Stephen J. Chanock, Rowan Chlebowski, Hans Christiansen, Christine L. Clarke, J. Margriet Collée, Emilie Cordina-Duverger, Sten Cornelissen, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Mary B. Daly, Peter Devilee, Thilo Dörk, Isabel Dos-Santos-Silva, Martine Dumont, Lorraine Durcan, Miriam Dwek, Diana M. Eccles, Arif B. Ekici, A. Heather Eliassen, Carolina Ellberg, Christoph Engel, Mikael Eriksson, D. Gareth Evans, Peter A. Fasching, Jonine Figueroa, Olivia Fletcher, Henrik Flyger, Asta Försti, Lin Fritschi, Marike Gabrielson, Manuela Gago-Dominguez, Susan M. Gapstur, José A. García-Sáenz, Mia M. Gaudet, Vassilios Georgoulias, Graham G. Giles, Irina R. Gilyazova, Gord Glendon, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Grethe I. Grenaker Alnæs, Mervi Grip, Jacek Gronwald, Anne Grundy, Pascal Guénel, Lothar Haeberle, Eric Hahnen, Christopher A. Haiman, Niclas Håkansson, Ute Hamann, Susan E. Hankinson, Elaine F. Harkness, Steven N. Hart, Wei He, Alexander Hein, Jane Heyworth, Peter Hillemanns, Antoinette Hollestelle, Maartje J. Hooning, Robert N. Hoover, John L. Hopper, Anthony Howell, Guanmengqian Huang, Keith Humphreys, David J. Hunter, Milena Jakimovska, Anna Jakubowska, Wolfgang Janni, Esther M. John, Nichola Johnson, Michael E. Jones, Arja Jukkola-Vuorinen, Audrey Jung, Rudolf Kaaks, Katarzyna Kaczmarek, Vesa Kataja, Renske Keeman, Michael J. Kerin, Elza Khusnutdinova, Johanna I. Kiiski, Julia A. Knight, Yon-Dschun Ko, Veli-Matti Kosma, Stella Koutros, Vessela N. Kristensen, Ute Krüger, Tabea Kühl, Diether Lambrechts, Loic Le Marchand, Eunjung Lee, Flavio Lejbkowicz, Jenna Lilyquist, Annika Lindblom, Sara Lindström, Jolanta Lissowska, Wing-Yee Lo, Sibylle Loibl, Jirong Long, Jan Lubiński, Michael P. Lux, Robert J. MacInnis, Tom Maishman, Enes Makalic, Ivana Maleva Kostovska, Arto Mannermaa, Siranoush Manoukian, Sara Margolin, John W. M. Martens, Maria Elena Martinez, Dimitrios Mavroudis, Catriona McLean, Alfons Meindl, Usha Menon, Pooja Middha, Nicola Miller, Fernando Moreno, Anna Marie Mulligan, Claire Mulot, Victor M. Muñoz-Garzon, Susan L. Neuhausen, Heli Nevanlinna, Patrick Neven, William G. Newman, Sune F. Nielsen, Børge G. Nordestgaard, Aaron Norman, Kenneth Offit, Janet E. Olson, Håkan Olsson, Nick Orr, V. Shane Pankratz, Tjoung-Won Park-Simon, Jose I. A. Perez, Clara Pérez-Barrios, Paolo Peterlongo, Julian Peto, Mila Pinchev, Dijana Plaseska-Karanfilska, Eric C. Polley, Ross Prentice, Nadege Presneau, Darya Prokofyeva, Kristen Purrington, Katri Pylkäs, Brigitte Rack, Paolo Radice, Rohini Rau-Murthy, Gad Rennert, Hedy S. Rennert, Valerie Rhenius, Mark Robson, Atocha Romero, Kathryn J. Ruddy, Matthias Ruebner, Emmanouil Saloustros, Dale P. Sandler, Elinor J. Sawyer, Daniel F. Schmidt, Rita K. Schmutzler, Andreas Schneeweiss, Minouk J. Schoemaker, Fredrick Schumacher, Peter Schürmann, Lukas Schwentner, Christopher Scott, Rodney J. Scott, Caroline Seynaeve, Mitul Shah, Mark E. Sherman, Martha J. Shrubsole, Xiao-Ou Shu, Susan Slager, Ann Smeets, Christof Sohn, Penny Soucy, Melissa C. Southey, John J. Spinelli, Christa Stegmaier, Jennifer Stone, Anthony J. Swerdlow, Rulla M. Tamimi, William J. Tapper, Jack A. Taylor, Mary Beth Terry, Kathrin Thöne, Rob A. E. M. Tollenaar, Ian Tomlinson, Thérèse Truong, Maria Tzardi, Hans-Ulrich Ulmer, Michael Untch, Celine M. Vachon, Elke M. van Veen, Joseph Vijai, Clarice R. Weinberg, Camilla Wendt, Alice S. Whittemore, Hans Wildiers, Walter Willett, Robert Winqvist, Alicja Wolk, Xiaohong R. Yang, Drakoulis Yannoukakos, Yan Zhang, Wei Zheng, Argyrios Ziogas, Alison M. Dunning, Deborah J. Thompson, Georgia Chenevix-Trench, Jenny Chang-Claude, Marjanka K. Schmidt, Per Hall, Roger L. Milne, Paul D. P. Pharoah, Antonis C. Antoniou, Nilanjan Chatterjee, Peter Kraft, Montserrat García-Closas, Jacques Simard, Douglas F. Easton

Date Published: 2019

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Abstract

Not specified

Authors: Paul Schmücker, Ulrike Schemman, Alfred Winter, Oliver Bott, Petra Knaup-Gregori, Stefan Kropf, Heinrich Lautenbacher, An Lo Phan-Vogtmann, André Scherag, Cord Spreckelsen

Date Published: 2019

Publication Type: Journal article

Abstract

Not specified

Authors: Sebastian Stäubert, Alexander Strübing, J. Drepper, B. Bergh, Alfred Winter, A. Merzweiler

Date Published: 2019

Publication Type: InCollection

Abstract (Expand)

Business informatics and medical informatics adopt and adapt methods and knowledge from computer science and further develop appropriate methods for the particular needs in their application domains. A panel discussion at the 2018 conference of the German Society for Medical Informatics, Biometry and Epidemiology (GMDS) analyzed the relationship between business informatics, medical informatics and computer science. Five questions guided the discussion: What are the basic goals of these disciplines? To what extent does practical application of results shape the disciplines? Do medicine and economy demand for particular methods in in - for - mat - ics and computer science? How important is foundation by theory and evidence? Can the disciplines learn from each other? The analysis made clear that business informatics, medical informatics and computer science would gain profit from a more systematic mutual exchange. The \grqqLearning Healthcare System” could provide a useful framework. Wirtschaftsinformatik und Medizinische Informatik gehören zu den sogenannten Bindestrich-Informatik-Fächern, die sich mit der Anwendung der Methoden und Erkenntnisse der Informatik, aber auch mit der Weiterentwicklung solcher Methoden und Erkenntnisse für gewisse Anwendungsgebiete befassen. Auf einer Podiumsdiskussion der Jahrestagung 2018 der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) wurde für Wirtschaftsinformatik, Medizinische Informatik und Informatik analysiert wie sie zueinander stehen. Die Analyse erfolgte anhand von fünf Fragen: Welche grundlegenden Ziele bestimmen die jeweilige wissenschaftliche Arbeit? Wie ist der Praxisbezug ausgeprägt? Inwieweit sind Besonderheiten von Medizin bzw. Ökonomie prägend für die jeweilige wissenschaftliche Arbeit? Welche Rolle spielen Theoriefundierung und Evidenz? Was können Wirtschaftsinformatik und Informatik von Medizinischer Informatik und Medizin lernen – und umgekehrt? Die Analyse zeigt, dass die drei Disziplinen von einem systematischen wechselseitigen Austausch profitieren können. Das \glqqLernende Gesundheitssystem\grqq bietet Ansätze für einen entsprechenden Rahmen.

Authors: Alfred Winter, Reinhold Haux, Barbara Paech, Frank Teuteberg, Ursula Hübner

Date Published: 2019

Publication Type: Journal article

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