Prediction of Individual Genetic Risk to Prostate Cancer Using a Polygenic Score
: Szulkin R, Whitington T, Eklund M, Aly M, Eeles RA, Easton D, Kote-Jarai Z, Al Olama AA, Benlloch S, Muir K, Giles GG, Southey MC, Fitzgerald LM, Henderson BE, Schumacher F, Haiman CA, Schleutker J, Wahlfors T, Tammela TLJ, Nordestgaard BG, Key TJ, Travis RC, Neal DE, Donovan JL, Hamdy FC, Pharoah P, Pashayan N, Khaw KT, Stanford JL, Thibodeau SN, McDonnell SK, Schaid DJ, Maier C, Vogel W, Luedeke M, Herkommer K, Kibel AS, Cybulski C, Lubinski J, Kluzniak W, Cannon-Albright L, Brenner H, Butterbach K, Stegmaier C, Park JY, Sellers T, Lim HY, Slavov C, Kaneva R, Mitev V, Batra J, Clements JA, Spurdle A, Teixeira MR, Paulo P, Maia S, Pandha H, Michael A, Kierzek A, Gronberg H, Wiklund F
Publisher: WILEY-BLACKWELL
: 2015
: Prostate
: PROSTATE
: PROSTATE
: 75
: 13
: 1467
: 1474
: 8
: 0270-4137
DOI: https://doi.org/10.1002/pros.23037
CONCLUSIONS. Inclusion of additional genetic variants from established prostate cancer susceptibility regions improves disease prediction. (C) 2015 Wiley Periodicals, Inc.