A1 Refereed original research article in a scientific journal
Prediction of Individual Genetic Risk to Prostate Cancer Using a Polygenic Score
Authors: 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
Publication year: 2015
Journal: Prostate
Journal name in source: PROSTATE
Journal acronym: PROSTATE
Volume: 75
Issue: 13
First page : 1467
Last page: 1474
Number of pages: 8
ISSN: 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.