Prediction of individual genetic risk to prostate cancer using a polygenic score
The Prostate2015Vol. 75(13), pp. 1467–1474
Citations Over TimeTop 10% of 2015 papers
Robert Szulkin, Thomas Whitington, Martin Eklund, Markus Aly, Rosalind A. Eeles, Douglas F. Easton, Zsofia Kote‐Jarai, Ali Amin Al Olama, Sara Benlloch, Kenneth Muir, Graham G. Giles, Melissa C. Southey, Liesel M. FitzGerald, Brian E. Henderson, Fredrick R. Schumacher, Christopher A. Haiman, Johanna Schleutker, Tiina Wahlfors, Teuvo L.J. Tammela, Børge G. Nordestgaard, Timothy J. Key, Ruth C. Travis, David E. Neal, Jenny Donovan, Freddie C. Hamdy, Paul D.P. Pharoah, Nora Pashayan, Kay‐Tee Khaw, Janet L. Stanford, Stephen N. Thibodeau, Shannon K. McDonnell, Daniel J. Schaid, Christiane Maier, Walther Vogel, Manuel Luedeke, Kathleen Herkommer, Adam S. Kibel, Cezary Cybulski, Jan Lubiński, Wojciech Kluźniak, Lisa Cannon‐Albright, Hermann Brenner, Katja Butterbach, Christa Stegmaier, Jong Y. Park, Thomas A. Sellers, Hui-Yi Lim, Chavdar Slavov, Radka Kaneva, Vanio Mitev, Jyotsna Batra, Judith A. Clements, The Australian Prostate Cancer BioResource, Amanda B. Spurdle, Manuel R. Teixeira, Paula Loureiro Paulo, Sofia Maia, Hardev Pandha, Agnieszka Michael, Andrzej Kierzek, Henrik Grönberg, Fredrik Wiklund
Abstract
Inclusion of additional genetic variants from established prostate cancer susceptibility regions improves disease prediction.
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