Polygenic Risk Modelling for Prediction of Epithelial Ovarian Cancer Risk
medRxiv preprint doi: https://doi.org/10.1101/2020.11.30.20219220; this version posted December 2, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . 1 Polygenic Risk Modelling for Prediction of Epithelial Ovarian Cancer Risk 2 Eileen O. Dareng1*, Jonathan P. Tyrer2*, Daniel R. Barnes1, Michelle R. Jones3, Xin Yang1, 3 Katja K.H. Aben4, 5, Muriel A. Adank6, Simona Agata7, Irene L. Andrulis8, 9, Hoda Anton- 4 Culver10, Natalia N. Antonenkova11, Gerasimos Aravantinos12, Banu K. Arun13, Annelie 5 Augustinsson14, Judith Balmaña15, 16, Elisa V. Bandera17, Rosa B. Barkardottir18, 19, Daniel 6 Barrowdale1, Matthias W. Beckmann20, Alicia Beeghly-Fadiel21, Javier Benitez22, 23, Marina 7 Bermisheva24, Marcus Q. Bernardini25, Line Bjorge26, 27, Amanda Black28, Natalia V. 8 Bogdanova11, 29, 30, Bernardo Bonanni31, Ake Borg32, James D. Brenton33, Agnieszka 9 Budzilowska34, Ralf Butzow35, Saundra S. Buys36, Hui Cai21, Maria A. Caligo37, Ian Campbell38, 10 39, Rikki Cannioto40, Hayley Cassingham41, Jenny Chang-Claude42, 43, Stephen J. Chanock44, 11 Kexin Chen45, Yoke-Eng Chiew46, 47, Wendy K. Chung48, Kathleen B.M. Claes49, Sarah 12 Colanna36, GEMO Study Collaborators50-52, GC-HBOC study Collaborators53, EMBRACE 13 Collaborators1, Linda S. Cook54, 55, Fergus J. Couch56, Mary B. Daly57, Fanny Dao58, Eleanor 14 Davies59, Miguel de la Hoya60, Robin de Putter49, Joe Dennis1, Allison DePersia61, 62, Peter 15 Devilee63, 64, Orland Diez65, 66, Yuan Chun Ding67, Jennifer A. Doherty68, Susan M.
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