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Implications of polygenic risk-stratified screening for prostate cancer on overdiagnosis
- Source :
- Genetics in Medicine
- Publication Year :
- 2015
- Publisher :
- Nature Publishing Group, 2015.
-
Abstract
- Purpose: This study aimed to quantify the probability of overdiagnosis of prostate cancer by polygenic risk. Genet Med 17 10, 789–795. Methods: We calculated the polygenic risk score based on 66 known prostate cancer susceptibility variants for 17,012 men aged 50–69 years (9,404 men identified with prostate cancer and 7,608 with no cancer) derived from three UK-based ongoing studies. We derived the probabilities of overdiagnosis by quartiles of polygenic risk considering that the observed prevalence of screen-detected prostate cancer is a combination of underlying incidence, mean sojourn time (MST), test sensitivity, and overdiagnosis. Genet Med 17 10, 789–795. Results: Polygenic risk quartiles 1 to 4 comprised 9, 18, 25, and 48% of the cases, respectively. For a prostate-specific antigen test sensitivity of 80% and MST of 9 years, 43, 30, 25, and 19% of the prevalent screen-detected cancers in quartiles 1 to 4, respectively, were likely to be overdiagnosed cancers. Overdiagnosis decreased with increasing polygenic risk, with 56% decrease between the lowest and the highest polygenic risk quartiles. Genet Med 17 10, 789–795. Conclusion: Targeting screening to men at higher polygenic risk could reduce the problem of overdiagnosis and lead to a better benefit-to-harm balance in screening for prostate cancer. Genet Med 17 10, 789–795.
- Subjects :
- Male
Risk
polygenic risk
Models, Statistical
Models, Genetic
risk-stratified screening
Prostatic Neoplasms
Medical Overuse
Middle Aged
overdiagnosis
prostate cancer
Sensitivity and Specificity
United Kingdom
Genetic Loci
Biomarkers, Tumor
Humans
Original Research Article
Genetic Testing
Neoplasm Grading
Algorithms
Early Detection of Cancer
Aged
Neoplasm Staging
Subjects
Details
- Language :
- English
- ISSN :
- 15300366 and 10983600
- Volume :
- 17
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- Genetics in Medicine
- Accession number :
- edsair.pmid.dedup....463043d73740b6c87b106937f34ce06a