Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

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Mavaddat , N , Michailidou , K , Dennis , J , Lush , M , Fachal , L , Lee , A , Tyrer , J P , Chen , T-H , Wang , Q , Bolla , M K , Yang , X , Adank , M A , Ahearn , T , Aittomäki , K , Allen , J , Andrulis , I L , Anton-Culver , H , Antonenkova , N N , Arndt , V , Aronson , K J , Auer , P L , Auvinen , P , Barrdahl , M , Beane Freeman , L E , Beckmann , M W , Behrens , S , Benitez , J , Bermisheva , M , Bernstein , L , Blomqvist , C , Bogdanova , N V , Bojesen , S E , Bonanni , B , Børresen-Dale , A-L , Brauch , H , Bremer , M , Brenner , H , Brentnall , A , Brock , I W , Brooks-Wilson , A , Brucker , S Y , Brüning , T , Burwinkel , B , Campa , D , Carter , B D , Castelao , J E , Chanock , S J , Chlebowski , R , Christiansen , H , Clarke , C L , Collée , J M , Cordina-Duverger , E , Cornelissen , S , Couch , F J , Cox , A , Cross , S S , Czene , K , Daly , M B , Devilee , P , Dörk , T , dos-Santos-Silva , I , Dumont , M , Durcan , L , Dwek , M , Eccles , D M , Ekici , A B , Eliassen , A H , Ellberg , C , Engel , C , Eriksson , M , Evans , D G , Fasching , P A , Figueroa , J , Fletcher , O , Flyger , H , Försti , A , Fritschi , L , Gabrielson , M , Gago-Dominguez , M , Gapstur , S M , García-Sáenz , J A , Gaudet , M M , Georgoulias , V , Giles , G G , Gilyazova , I R , Glendon , G , Goldberg , M S , Goldgar , D E , González-Neira , A , Grenaker Alnæs , G I , Grip , M , Gronwald , J , Grundy , A , Guénel , P , Haeberle , L , Hahnen , E , Haiman , C A , Håkansson , N , Hamann , U , Hankinson , S E , Harkness , E F , Hart , S N , He , W , Hein , A , Heyworth , J , Hillemanns , P , Hollestelle , A , Hooning , M J , Hoover , R N , Hopper , J L , Howell , A , Huang , G , Humphreys , K , Hunter , D J , Jakimovska , M , Jakubowska , A , Janni , W , John , E M , Johnson , N , Jones , M E , Jukkola-Vuorinen , A , Jung , A , Kaaks , R , Kaczmarek , K , Kataja , V , Keeman , R , Kerin , M J , Khusnutdinova , E , Kiiski , J I , Knight , J A , Ko , Y-D , Kosma , V-M , Koutros , S , Kristensen , V N , Krüger , U , Kühl , T , Lambrechts , D , Le Marchand , L , Lee , E , Lejbkowicz , F , Lilyquist , J , Lindblom , A , Lindström , S , Lissowska , J , Lo , W-Y , Loibl , S , Long , J , Lubiński , J , Lux , M P , MacInnis , R J , Maishman , T , Makalic , E , Maleva Kostovska , I , Mannermaa , A , Manoukian , S , Margolin , S , Martens , J W M , Martinez , M E , Mavroudis , D , McLean , C , Meindl , A , Menon , U , Middha , P , Miller , N , Moreno , F , Mulligan , A M , Mulot , C , Muñoz-Garzon , V M , Neuhausen , S L , Nevanlinna , H , Neven , P , Newman , W G , Nielsen , S F , Nordestgaard , B G , Norman , A , Offit , K , Olson , J E , Olsson , H , Orr , N , Pankratz , V S , Park-Simon , T-W , Perez , J I A , Pérez-Barrios , C , Peterlongo , P , Peto , J , Pinchev , M , Plaseska-Karanfilska , D , Polley , E C , Prentice , R , Presneau , N , Prokofyeva , D , Purrington , K , Pylkäs , K , Rack , B , Radice , P , Rau-Murthy , R , Rennert , G , Rennert , H S , Rhenius , V , Robson , M , Romero , A , Ruddy , K J , Ruebner , M , Saloustros , E , Sandler , D P , Sawyer , E J , Schmidt , D F , Schmutzler , R K , Schneeweiss , A , Schoemaker , M J , Schumacher , F , Schürmann , P , Schwentner , L , Scott , C , Scott , R J , Seynaeve , C , Shah , M , Sherman , M E , Shrubsole , M J , Shu , X-O , Slager , S , Smeets , A , Sohn , C , Soucy , P , Southey , M C , Spinelli , J J , Stegmaier , C , Stone , J , Swerdlow , A J , Tamimi , R M , Tapper , W J , Taylor , J A , Terry , M B , Thöne , K , Tollenaar , R A E M , Tomlinson , I , Truong , T , Tzardi , M , Ulmer , H-U , Untch , M , Vachon , C M , van Veen , E M , Vijai , J , Weinberg , C R , Wendt , C , Whittemore , A S , Wildiers , H , Willett , W , Winqvist , R , Wolk , A , Yang , X R , Yannoukakos , D , Zhang , Y , Zheng , W , Ziogas , A , Dunning , A M , Thompson , D J , Chenevix-Trench , G , Chang-Claude , J , Schmidt , M K , Hall , P , Milne , R L , Pharoah , P D P , Antoniou , A C , Chatterjee , N , Kraft , P , García-Closas , M , Simard , J & Easton , D F 2019 , ' Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes ' , American Journal of Human Genetics , vol. 104 , no. 1 , pp. 21-34 . https://doi.org/10.1016/j.ajhg.2018.11.002

Title: Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes
Author: Mavaddat, Nasim; Michailidou, Kyriaki; Dennis, Joe; Lush, Michael; Fachal, Laura; Lee, Andrew; Tyrer, Jonathan P.; Chen, Ting-Huei; Wang, Qin; Bolla, Manjeet K.; Yang, Xin; Adank, Muriel A.; Ahearn, Thomas; Aittomäki, Kristiina; Allen, Jamie; Andrulis, Irene L.; Anton-Culver, Hoda; Antonenkova, Natalia N.; Arndt, Volker; Aronson, Kristan J.; Auer, Paul L.; Auvinen, Päivi; Barrdahl, Myrto; Beane Freeman, Laura E.; Beckmann, Matthias W.; Behrens, Sabine; Benitez, Javier; Bermisheva, Marina; Bernstein, Leslie; Blomqvist, Carl; Bogdanova, Natalia V.; Bojesen, Stig E.; Bonanni, Bernardo; Børresen-Dale, Anne-Lise; Brauch, Hiltrud; Bremer, Michael; Brenner, Hermann; Brentnall, Adam; Brock, Ian W.; Brooks-Wilson, Angela; Brucker, Sara Y.; Brüning, Thomas; Burwinkel, Barbara; Campa, Daniele; Carter, Brian D.; Castelao, Jose E.; Chanock, Stephen J.; Chlebowski, Rowan; Christiansen, Hans; Clarke, Christine L.; Collée, J. Margriet; Cordina-Duverger, Emilie; Cornelissen, Sten; Couch, Fergus J.; Cox, Angela; Cross, Simon S.; Czene, Kamila; Daly, Mary B.; Devilee, Peter; Dörk, Thilo; dos-Santos-Silva, Isabel; Dumont, Martine; Durcan, Lorraine; Dwek, Miriam; Eccles, Diana M.; Ekici, Arif B.; Eliassen, A. Heather; Ellberg, Carolina; Engel, Christoph; Eriksson, Mikael; Evans, D. Gareth; Fasching, Peter A.; Figueroa, Jonine; Fletcher, Olivia; Flyger, Henrik; Försti, Asta; Fritschi, Lin; Gabrielson, Marike; Gago-Dominguez, Manuela; Gapstur, Susan M.; García-Sáenz, José A.; Gaudet, Mia M.; Georgoulias, Vassilios; Giles, Graham G.; Gilyazova, Irina R.; Glendon, Gord; Goldberg, Mark S.; Goldgar, David E.; González-Neira, Anna; Grenaker Alnæs, Grethe I.; Grip, Mervi; Gronwald, Jacek; Grundy, Anne; Guénel, Pascal; Haeberle, Lothar; Hahnen, Eric; Haiman, Christopher A.; Håkansson, Niclas; Hamann, Ute; Hankinson, Susan E.; Harkness, Elaine F.; Hart, Steven N.; He, Wei; Hein, Alexander; Heyworth, Jane; Hillemanns, Peter; Hollestelle, Antoinette; Hooning, Maartje J.; Hoover, Robert N.; Hopper, John L.; Howell, Anthony; Huang, Guanmengqian; Humphreys, Keith; Hunter, David J.; Jakimovska, Milena; Jakubowska, Anna; Janni, Wolfgang; John, Esther M.; Johnson, Nichola; Jones, Michael E.; Jukkola-Vuorinen, Arja; Jung, Audrey; Kaaks, Rudolf; Kaczmarek, Katarzyna; Kataja, Vesa; Keeman, Renske; Kerin, Michael J.; Khusnutdinova, Elza; Kiiski, Johanna I.; Knight, Julia A.; Ko, Yon-Dschun; Kosma, Veli-Matti; Koutros, Stella; Kristensen, Vessela N.; Krüger, Ute; Kühl, Tabea; Lambrechts, Diether; Le Marchand, Loic; Lee, Eunjung; Lejbkowicz, Flavio; Lilyquist, Jenna; Lindblom, Annika; Lindström, Sara; Lissowska, Jolanta; Lo, Wing-Yee; Loibl, Sibylle; Long, Jirong; Lubiński, Jan; Lux, Michael P.; MacInnis, Robert J.; Maishman, Tom; Makalic, Enes; Maleva Kostovska, Ivana; Mannermaa, Arto; Manoukian, Siranoush; Margolin, Sara; Martens, John W.M.; Martinez, Maria Elena; Mavroudis, Dimitrios; McLean, Catriona; Meindl, Alfons; Menon, Usha; Middha, Pooja; Miller, Nicola; Moreno, Fernando; Mulligan, Anna Marie; Mulot, Claire; Muñoz-Garzon, Victor M.; Neuhausen, Susan L.; Nevanlinna, Heli; Neven, Patrick; Newman, William G.; Nielsen, Sune F.; Nordestgaard, Børge G.; Norman, Aaron; Offit, Kenneth; Olson, Janet E.; Olsson, Håkan; Orr, Nick; Pankratz, V. Shane; Park-Simon, Tjoung-Won; Perez, Jose I.A.; Pérez-Barrios, Clara; Peterlongo, Paolo; Peto, Julian; Pinchev, Mila; Plaseska-Karanfilska, Dijana; Polley, Eric C.; Prentice, Ross; Presneau, Nadege; Prokofyeva, Darya; Purrington, Kristen; Pylkäs, Katri; Rack, Brigitte; Radice, Paolo; Rau-Murthy, Rohini; Rennert, Gad; Rennert, Hedy S.; Rhenius, Valerie; Robson, Mark; Romero, Atocha; Ruddy, Kathryn J.; Ruebner, Matthias; Saloustros, Emmanouil; Sandler, Dale P.; Sawyer, Elinor J.; Schmidt, Daniel F.; Schmutzler, Rita K.; Schneeweiss, Andreas; Schoemaker, Minouk J.; Schumacher, Fredrick; Schürmann, Peter; Schwentner, Lukas; Scott, Christopher; Scott, Rodney J.; Seynaeve, Caroline; Shah, Mitul; Sherman, Mark E.; Shrubsole, Martha J.; Shu, Xiao-Ou; Slager, Susan; Smeets, Ann; Sohn, Christof; Soucy, Penny; Southey, Melissa C.; Spinelli, John J.; Stegmaier, Christa; Stone, Jennifer; Swerdlow, Anthony J.; Tamimi, Rulla M.; Tapper, William J.; Taylor, Jack A.; Terry, Mary Beth; Thöne, Kathrin; Tollenaar, Rob A.E.M.; Tomlinson, Ian; Truong, Thérèse; Tzardi, Maria; Ulmer, Hans-Ulrich; Untch, Michael; Vachon, Celine M.; van Veen, Elke M.; Vijai, Joseph; Weinberg, Clarice R.; Wendt, Camilla; Whittemore, Alice S.; Wildiers, Hans; Willett, Walter; Winqvist, Robert; Wolk, Alicja; Yang, Xiaohong R.; Yannoukakos, Drakoulis; Zhang, Yan; Zheng, Wei; Ziogas, Argyrios; Dunning, Alison M.; Thompson, Deborah J.; Chenevix-Trench, Georgia; Chang-Claude, Jenny; Schmidt, Marjanka K.; Hall, Per; Milne, Roger L.; Pharoah, Paul D.P.; Antoniou, Antonis C.; Chatterjee, Nilanjan; Kraft, Peter; García-Closas, Montserrat; Simard, Jacques; Easton, Douglas F.
Contributor: University of Helsinki, Department of Medical and Clinical Genetics
University of Helsinki, Clinicum
University of Helsinki, HUS Gynecology and Obstetrics
University of Helsinki, Department of Obstetrics and Gynecology
Date: 2019-01-03
Language: eng
Number of pages: 14
Belongs to series: American Journal of Human Genetics
ISSN: 0002-9297
URI: http://hdl.handle.net/10138/293028
Abstract: 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.
Subject: GENOME-WIDE ASSOCIATION
FUNCTIONAL VARIANTS
PROSTATE-CANCER
SUSCEPTIBILITY
SHRINKAGE
MODELS
LOCUS
WOMEN
3122 Cancers
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