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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 ZS, Amin Al Olama A, Benlloch S, Muir K, Giles GG, Southey MC, Fitzgerald LM, Henderson BE, Schumacher F, Haiman CA, Schleutker J, Wahlfors T, Tammela TL, 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, Lubiński J, Kluźniak W, Cannon-Albright L, Brenner H, Butterbach K, Stegmaier C, Park JY, Sellers T, Lin HY, Slavov C, Kaneva R, Mitev V, Batra J, Clements JA; Australian Prostate Cancer BioResource; Spurdle A, Teixeira MR, Paulo P, Maia S, Pandha H, Michael A, Kierzek A; Practical Consortium; Gronberg H, Wiklund F. Szulkin R, et al. Among authors: aly m. Prostate. 2015 Sep;75(13):1467-74. doi: 10.1002/pros.23037. Epub 2015 Jul 14. Prostate. 2015. PMID: 26177737 Free PMC article.
The Stockholm-3 (STHLM3) Model can Improve Prostate Cancer Diagnostics in Men Aged 50-69 yr Compared with Current Prostate Cancer Testing.
Eklund M, Nordström T, Aly M, Adolfsson J, Wiklund P, Brandberg Y, Thompson J, Wiklund F, Lindberg J, Presti JC, StLezin M, Clements M, Egevad L, Grönberg H. Eklund M, et al. Among authors: aly m. Eur Urol Focus. 2018 Sep;4(5):707-710. doi: 10.1016/j.euf.2016.10.009. Epub 2016 Nov 23. Eur Urol Focus. 2018. PMID: 28753803
682 results