title: Known susceptibility SNPs for sporadic prostate cancer show a similar association with "hereditary" prostate cancer.
abstract: BACKGROUND
  More than 70 single nucleotide polymorphisms (SNPs) have been reported to be associated with prostate cancer (PC) risk; these were mainly identified in the general population with predominantly sporadic PC (SPC). Previous studies have suggested similar associations between a selection of these SNPs and hereditary PC (HPC). Our aim was to evaluate the effect of all known PC risk SNPs and their discriminative value for SPC and HPC.
  
  
  METHODS
  Seventy-four PC susceptibility SNPs (reported in literature up to June 2014) were genotyped in a population-based series of 620 SPC patients, 312 HPC patients from the national Dutch registry and 1819 population-based referents. Association analyses were performed using logistic regression, focusing on directional consistency of the odds ratios (ORs) with those in the original reports, that is, whether the OR was in the same direction as in the original report. Discriminative performance was evaluated by a genetic risk score used in logistic regression and receiver operating characteristic (ROC) curve analyses.
  
  
  RESULTS
  Directional consistency was seen for 62 SNPs in SPC and 64 SNPs in HPC, 56 of which overlapped. ORs were mostly higher for HPC with 22 ORs >1.25 versus 5 for SPC. Discriminative performance was better for HPC with an area under the ROC curve of 0.73 versus 0.64 for SPC.
  
  
  CONCLUSIONS
  A large overlap was found for the associations between low-penetrance susceptibility SNPs and SPC and HPC, suggesting a similarity in genetic etiology. This warrants a reconsideration of "HPC" and a restrictive policy toward prostate-specific antigen testing in men with a positive family history. Genetic risk scores might be used for PC risk stratification on the population level.
authors.affiliation: Department for Health Evidence, Radboud university medical center, Nijmegen, The Netherlands; Department of Urology, Radboud university medical center, Nijmegen, The Netherlands; The Netherlands Foundation for the Detection of Hereditary Tumours, Leiden, The Netherlands.
authors.forename: Ruben G
authors.initials: RG
authors.lastname: Cremers
authors.forename: Tessel E
authors.initials: TE
authors.lastname: Galesloot
authors.forename: Katja K
authors.initials: KK
authors.lastname: Aben
authors.forename: Inge M
authors.initials: IM
authors.lastname: van Oort
authors.forename: Hans F
authors.initials: HF
authors.lastname: Vasen
authors.forename: Sita H
authors.initials: SH
authors.lastname: Vermeulen
authors.forename: Lambertus A
authors.initials: LA
authors.lastname: Kiemeney
mesh_terms: D000368:Aged; D020022:Genetic Predisposition to Disease; D055106:Genome-Wide Association Study; D005838:Genotype; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009426:Netherlands; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D011471:Prostatic Neoplasms / Q000235:genetics*; D012372:ROC Curve; D012307:Risk Factors
keywords: association; genetics; risk score; single nucleotide polymorphism