A1 Refereed original research article in a scientific journal

Prediction of Individual Genetic Risk to Prostate Cancer Using a Polygenic Score




AuthorsSzulkin 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

PublisherWILEY-BLACKWELL

Publication year2015

JournalProstate

Journal name in sourcePROSTATE

Journal acronymPROSTATE

Volume75

Issue13

First page 1467

Last page1474

Number of pages8

ISSN0270-4137

DOIhttps://doi.org/10.1002/pros.23037


Abstract

CONCLUSIONS. Inclusion of additional genetic variants from established prostate cancer susceptibility regions improves disease prediction. (C) 2015 Wiley Periodicals, Inc.




Last updated on 2024-26-11 at 17:16