European Journal of Human Genetics, 30, 349-362 European Journal of Human Genetics European Journal of Human Genetics, 30, 3, pp. 349-362 Dareng, E O, Tyrer, J P, Barnes, D R, Jones, M R, Yang, X, Aben, K K H, Adank, M A, Agata, S, Andrulis, I L, Anton-Culver, H, Antonenkova, N N, Aravantinos, G, Arun, B K, Augustinsson, A, Balmaña, J, Bandera, E V, Barkardottir, R B, Barrowdale, D, Beckmann, M W, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, M Q, Bjorge, L, Black, A, Bogdanova, N V, Bonanni, B, Borg, A, Brenton, J D, Budzilowska, A, Butzow, R, Buys, S S, Cai, H, Caligo, M A, Campbell, I, Cannioto, R, Cassingham, H, Chang-Claude, J, Chanock, S J, Chen, K, Chiew, Y E, Chung, W K, Claes, K B M, Colonna, S, Hansen, T V O, Høgdall, E, Høgdall, C K, Jensen, A, Kjaer, S K, Nielsen, F C, GEMO Study Collaborators, GC-HBOC Study Collaborators, EMBRACECollaborators, OPAL Study Group, AOCS Group, kConFab Investigators, HEBON Investigators, OCAC Consortium & CIMBA Consortium 2022, ' Polygenic risk modeling for prediction of epithelial ovarian cancer risk ', European journal of human genetics : EJHG, vol. 30, no. 3, pp. 349-362 . https://doi.org/10.1038/s41431-021-00987-7 Dareng, E O, Tyrer, J P, Barnes, D R, Jones, M R, Yang, X, Aben, K K H, Adank, M A, Agata, S, Andrulis, I L, Anton-Culver, H, Antonenkova, N N, Aravantinos, G, Arun, B K, Augustinsson, A, Balmaña, J, Bandera, E V, Barkardottir, R B, Barrowdale, D, Beckmann, M W, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, M Q, Bjorge, L, Black, A, Bogdanova, N V, Bonanni, B, Borg, A, Brenton, J D, Budzilowska, A, Butzow, R, Buys, S S, Cai, H, Caligo, M A, Campbell, I, Cannioto, R, Cassingham, H, Chang-Claude, J, Chanock, S J, Chen, K, Chiew, Y E, Chung, W K, Claes, K B M, Hansen, T V O, Jensen, A, Nielsen, H R, Pedersen, I S, Thomassen, M, GEMO Study Collaborators, GC-HBOC study Collaborators, EMBRACECollaborators, OPAL Study Group, AOCS Group, kConFab Investigators, HEBON Investigators, OCAC Consortium & CIMBA Consortium 2022, ' Polygenic risk modeling for prediction of epithelial ovarian cancer risk ', European Journal of Human Genetics, vol. 30, no. 3, pp. 349-362 . https://doi.org/10.1038/s41431-021-00987-7 Dareng, E O, Tyrer, J P, Barnes, D R, Jones, M R, Yang, X, Aben, K K H, Adank, M A, Agata, S, Andrulis, I L, Anton-Culver, H, Antonenkova, N N, Aravantinos, G, Arun, B K, Augustinsson, A, Balmaña, J, Bandera, E V, Barkardottir, R B, Barrowdale, D, Beckmann, M W, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, M Q, Bjorge, L, Black, A, Bogdanova, N V, Bonanni, B, Borg, A, Brenton, J D, Budzilowska, A, Butzow, R, Buys, S S, Cai, H, Caligo, M A, Campbell, I, Cannioto, R, Cassingham, H, Chang-Claude, J, Chanock, S J, Chen, K, Chiew, Y-E, Chung, W K, Claes, K B M, Colonna, S, Cook, L S, Couch, F J, Daly, M B, Dao, F, Davies, E, de la Hoya, M, de Putter, R, Dennis, J, DePersia, A, Devilee, P, Diez, O, Ding, Y C, Doherty, J A, Domchek, S M, Dörk, T, du Bois, A, Dürst, M, Eccles, D M, Eliassen, H A, Engel, C, Evans, G D, Fasching, P A, Flanagan, J M, Fortner, R T, Machackova, E, Friedman, E, Ganz, P A, Garber, J, Gensini, F, Giles, G G, Glendon, G, Godwin, A K, Goodman, M T, Greene, M H, Gronwald, J, Hahnen, E, Haiman, C A, Håkansson, N, Hamann, U, Hansen, T V O, Harris, H R, Hartman, M, Heitz, F, Hildebrandt, M A T, Høgdall, E, Høgdall, C K, Hopper, J L, Huang, R-Y, Huff, C, Hulick, P J, Huntsman, D G, Imyanitov, E N, Isaacs, C, Jakubowska, A, James, P A, Janavicius, R, Jensen, A, Johannsson, O T, John, E M, Jones, M E, Kang, D, Karlan, B Y, Karnezis, A, Kelemen, L E, Khusnutdinova, E, Kiemeney, L A, Kim, B-G, Kjaer, S K, Komenaka, I, Kupryjanczyk, J, Kurian, A W, Kwong, A, Lambrechts, D, Larson, M C, Lazaro, C, Le, N D, Leslie, G, Lester, J, Lesueur, F, Levine, D A, Li, L, Li, J, Loud, J T, Lu, K H, Lubiński, J, Mai, P L, Manoukian, S, Marks, J R, Matsuno, R K, Matsuo, K, May, T, McGuffog, L, McLaughlin, J R, McNeish, I A, Mebirouk, N, Menon, U, Miller, A, Milne, R L, Minlikeeva, A, Modugno, F, Montagna, M, Moysich, K B, Munro, E, Nathanson, K L, Neuhausen, S L, Nevanlinna, H, Yie, J N Y, Nielsen, H R, Nielsen, F C, Nikitina-Zake, L, Odunsi, K, Offit, K, Olah, E, Olbrecht, S, Olopade, O I, Olson, S H, Olsson, H, Osorio, A, Papi, L, Park, S K, Parsons, M T, Pathak, H, Pedersen, I S, Peixoto, A, Pejovic, T, Perez-Segura, P, Permuth, J B, Peshkin, B, Peterlongo, P, Piskorz, A, Prokofyeva, D, Radice, P, Rantala, J, Riggan, M J, Risch, H A, Rodriguez-Antona, C, Ross, E, Rossing, M A, Runnebaum, I, Sandler, D P, Santamariña, M, Soucy, P, Schmutzler, R K, Setiawan, V W, Shan, K, Sieh, W, Simard, J, Singer, C F, Sokolenko, A P, Song, H, Southey, M C, Steed, H, Stoppa-Lyonnet, D, Sutphen, R, Swerdlow, A J, Tan, Y Y, Teixeira, M R, Teo, S H, Terry, K L, Terry, M B, Thomassen, M, Thompson, P J, Thomsen, L C V, Thull, D L, Tischkowitz, M, Titus, L, Toland, A E, Torres, D, Trabert, B, Travis, R, Tung, N, Tworoger, S S, Valen, E, van Altena, A M, van der Hout, A H, Van Nieuwenhuysen, E, van Rensburg, E J, Vega, A, Edwards, D V, Vierkant, R A, Wang, F, Wappenschmidt, B, Webb, P M, Weinberg, C R, Weitzel, J N, Wentzensen, N, White, E, Whittemore, A S, Winham, S J, Wolk, A, Woo, Y-L, Wu, A H, Yan, L, Yannoukakos, D, Zavaglia, K M, Zheng, W, Ziogas, A, Zorn, K K, Kleibl, Z, Easton, D, Lawrenson, K, DeFazio, A, Sellers, T A, Ramus, S J, Pearce, C L, Monteiro, A N, Cunningham, J, Goode, E L, Schildkraut, J M, Berchuck, A, Chenevix-Trench, G, Gayther, S A, Antoniou, A C, Pharoah, P D P & GEMO Study Collaborators 2022, ' Polygenic risk modeling for prediction of epithelial ovarian cancer risk ', European Journal of Human Genetics, vol. 30, no. 3, pp. 349-362 . https://doi.org/10.1038/s41431-021-00987-7 European Journal of Human Genetics, 30, 349-362. SPRINGERNATURE Dareng, EO, Tyrer, JP, Barnes, DR, Jones, MR, Yang, X, Aben, KKH, Adank, MA, Agata, S, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Aravantinos, G, Arun, BK, Pharoah, PDP & Evans, D G 2022, ' Polygenic risk modeling for prediction of epithelial ovarian cancer risk. ', European journal of human genetics : EJHG, vol. 30, no. 3, pp. 349-362 . https://doi.org/10.1038/s41431-021-00987-7 EUROPEAN JOURNAL OF HUMAN GENETICS European journal of human genetics : EJHG, 30(3), 349-362. Nature Publishing Group Scientia
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P J, Imyanitov, E N, Sexton, A, Christian, A, Trainer, A, Spigelman, A, Fellows, A, Shelling, A, Fazio, A D, Blackburn, A, Crook, A, Meiser, B, Patterson, B, Clarke, C, Saunders, C, Hunt, C, Scott, C, Amor, D, Marsh, D, Edkins, E, Salisbury, E, Haan, E, Neidermayr, E, Macrea, F, Farshid, G, Lindeman, G, Trench, G, Mann, G, Giles, G, Gill, G, Thorne, H, Hickie, I, Winship, I, Flanagan, J, Kollias, J, Visvader, J, Stone, J, Taylor, J, Burke, J, Saunus, J, Forbes, J, Hopper, J, Kirk, J, French, J, Tucker, K, Wu, K, Phillips, K, Lipton, L, Andrews, L, Lobb, L, Walker, L, Kentwell, M, Spurdle, M, Cummings, M, Gleeson, M, Harris, M, Jenkins, M, Young, M A, Delatycki, M, Wallis, M, Pedersen, I S & Dunning, A M 2020, ' Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes ', Nature Genetics, vol. 52, no. 1, pp. 56-73 . https://doi.org/10.1038/s41588-019-0537-1 Fachal, L, Aschard, H, Beesley, J, Barnes, D R, Allen, J, Kar, S, Pooley, K A, Dennis, J, Michailidou, K, Turman, C, Soucy, P, Lemaçon, A, Lush, M, Tyrer, J P, Ghoussaini, M, Moradi Marjaneh, M, Jiang, X, Agata, S, Aittomäki, K, Alonso, M R, Andrulis, I L, Anton-culver, H, Antonenkova, N N, Arason, A, Arndt, V, Aronson, K J, Arun, B K, Auber, B, Auer, P L, Azzollini, J, Balmaña, J, Barkardottir, R B, Barrowdale, D, Beeghly-fadiel, A, Benitez, J, Bermisheva, M, Białkowska, K, Blanco, A M, Blomqvist, C, Blot, W, Bogdanova, N V, Bojesen, S E, Bolla, M K, Bonanni, B, Borg, A, Bosse, K, Brauch, H, Brenner, H, Briceno, I, Brock, I W, Brooks-wilson, A, Brüning, T, Burwinkel, B, Buys, S S, Cai, Q, Caldés, T, Caligo, M A, Camp, N J, Campbell, I, Canzian, F, Carroll, J S, Carter, B D, Castelao, J E, Chiquette, J, Christiansen, H, Chung, W K, Claes, K B M, Clarke, C L, Collée, J M, Cornelissen, S, Couch, F J, Cox, A, Cross, S S, Cybulski, C, Czene, K, Daly, M B, De La Hoya, M, Devilee, P, Diez, O, Ding, Y C, Dite, G S, Domchek, S M, Dörk, T, Dos-santos-silva, I, Droit, A, Dubois, S, Dumont, M, Duran, 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N, Wendt, C, Wildiers, H, Winqvist, R, Wolk, A, Wu, A H, Yannoukakos, D, Zhang, Y, Zheng, W, Hunter, D, Pharoah, P D P, Chang-claude, J, García-closas, M, Schmidt, M K, Milne, R L, Kristensen, V N, French, J D, Edwards, S L, Antoniou, A C, Chenevix-trench, G, Simard, J, Easton, D F, Kraft, P & Dunning, A M 2020, ' Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes ', Nature Genetics, vol. 52, no. 1, pp. 56-73 . https://doi.org/10.1038/s41588-019-0537-1 Nature Genetics, 52(1). Nature Publishing Group Evans, D G, Lophatananon, A, Muir, K & et al. 2020, ' Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes ', Nature Genetics, vol. 52, no. 1, pp. 56-73 . https://doi.org/10.1038/s41588-019-0537-1 Nature Genetics Nature genetics Nature Genetics, Nature Publishing Group, 2020, 52 (1), pp.56-73. ⟨10.1038/s41588-019-0537-1⟩ Nature Genetics, 52(1), 56-73. NATURE PUBLISHING GROUP Nature Genetics, 2020, 52 (1), pp.56-73. ⟨10.1038/s41588-019-0537-1⟩ GEMO Study Collaborators, EMBRACECollaborators, KConFab Investigators, HEBON Investigators & ABCTB Investigators 2020, ' Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes ', Nature Genetics, vol. 52, no. 1, pp. 56-73 . https://doi.org/10.1038/s41588-019-0537-1 Digital.CSIC. Repositorio Institucional del CSIC instname Fachal, L, Aschard, H, Beesley, J, Barnes, D R, Allen, J, Kar, S, Pooley, K A, Dennis, J, Michailidou, K, Turman, C, Soucy, P, Lemaçon, A, Lush, M, Tyrer, J P, Ghoussaini, M, Marjaneh, M M, Jiang, X, Agata, S, Aittomäki, K, Alonso, M R, Andrulis, I L, Anton-Culver, H, Antonenkova, N N, Arason, A, Arndt, V, Aronson, K J, Arun, B K, Auber, B, Auer, P L, Azzollini, J, Balmaña, J, Barkardottir, R B, Barrowdale, D, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Białkowska, K, Blanco, A M, Blomqvist, C, Blot, W, Bogdanova, N V, Bojesen, S E, Bolla, M K, Bonanni, B, Borg, A, Bosse, K, Christiansen, H, Pedersen, I S, Shen, C Y, Thomassen, M, ABCTB Investigators, GEMO Study Collaborators, EMBRACECollaborators, kConFab Investigators, HEBON Investigators, Bojesen, S E, Flyger, H, Nielsen, F C & Rossing, M 2020, ' Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes ', Nature Genetics, vol. 52, no. 1, pp. 56-73 . https://doi.org/10.1038/s41588-019-0537-1 Nature Genetics, 52(1), 56-73. Nature Publishing Group Nature genetics, 52(1), 56-73. Nature Publishing Group
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