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A genetic risk score to guide age-specific, personalized prostate cancer screening

Authors :
Tyler M. Seibert
Ian G. Mills
Hermann Brenner
Jyotsna Batra
Chavdar Slavov
Kay-Tee Khaw
Adam S. Kibel
Sofia Maia
Rosalind A. Eeles
Agnieszka Michael
Kenneth Muir
Kai-Uwe Saum
David E. Neal
Wojciech Kluzniak
Markus Aly
Anders M. Dale
Zsofia Kote-Jarai
Thomas A. Sellers
Jenny L Donovan
Teuvo L.J. Tammela
Freddie C. Hamdy
Jong Y. Park
Judith A. Clements
David S. Karow
Johanna Schleutker
Fredrik Wiklund
Maren Weischer
Kathleen Herkommer
Cezary Cybulski
Amanda B. Spurdle
Christiane Maier
Ruth C. Travis
Chun Chieh Fan
Vanio Mitev
Andrzej M. Kierzek
Henrik Grönberg
Lisa A. Cannon-Albright
Ole A. Andreassen
J. Kellogg Parsons
M. Andreas Røder
Paul D.P. Pharoah
Manuel Luedeke
Nora Pashayan
Timothy J. Key
Dominika Wokołorczyk
Hardev Pandha
Walther Vogel
Ali Amin Al Olama
Douglas F. Easton
Manuel R. Teixeira
Rasmus Bisbjerg
Paula Paulo
Roshan Karunamuni
Børge G. Nordestgaard
Katarina Cuk
Sara Benlloch Garcia
Csilla Sipeky
Radka Kaneva
Yunpeng Wang
Peter Iversen
Sune F. Nielsen
Verena Zuber
Publication Year :
2016
Publisher :
Cold Spring Harbor Laboratory, 2016.

Abstract

BackgroundProstate-specific-antigen (PSA) screening resulted in reduced prostate cancer (PCa) mortality in a large clinical trial, but due to a high false-positive rate, among other concerns, many guidelines do not endorse universal screening and instead recommend an individualized decision based on each patient’s risk. Genetic risk may provide key information to guide the decisions of whether and at what age to screen an individual man for PCa.MethodsGenotype, PCa status, and age from 34,444 men of European ancestry from the PRACTICAL consortium database were analyzed to select single-nucleotide polymorphisms (SNPs) associated with prostate cancer diagnosis. These SNPs were then incorporated into a survival analysis to estimate their effects on age at PCa diagnosis. The resulting polygenic hazard score (PHS) is an assessment of individual genetic risk. The final model was validated in an independent dataset comprised of 6,417 men with screening PSA and genotype data. PHS was calculated for these men to test for prediction of PCa-free survival. PHS was also combined with age-specific PCa incidence data from the U.S. population to generate a PCa-Risk (PCaR) age that relates a given man’s risk to that of the population average. PHS and PCaR age were evaluated for prediction of positive predictive value (PPV) of PSA screening.FindingsPHS calculated from 54 SNPs was very highly predictive of age at PCa diagnosis for men in the validation set (p =10−53). PPV of PSA screening varied from 0.18 to 0.52 for men with low and high genetic risk, respectively. PHS modulates PCa-free survival curves by an estimated 20 years between men in the 1st or 99th percentiles of genetic risk.InterpretationPolygenic hazard scores give personalized genetic risk estimates and can inform the decisions of whether and at what age to screen a man for PCa.FundingDepartment of Defense #W81XWH-13-1-0391

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....8de12b6a42bbd8fd142557f9833e6909
Full Text :
https://doi.org/10.1101/089383