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Differences in inherited risk among relatives of hereditary prostate cancer patients using genetic risk score.
Helfand, Brian T; Chen, Haitao; Fantus, Richard J; Conran, Carly A; Brendler, Charles B; Zheng, Siquan Lilly; Walsh, Patrick C; Isaacs, William B; Xu, Jianfeng.
Afiliação
  • Helfand BT; Division of Urology, John and Carol Walter for Urologic Health, NorthShore University HealthSystem, Evanston, Illinois.
  • Chen H; School of Public Health, Fudan University, Center for Genomic Translational Medicine and Prevention, Shanghai, P.R. China.
  • Fantus RJ; Department of Surgery, Section of Urology, University of Chicago Medical Center, University of Chicago, Chicago, Illinois.
  • Conran CA; Division of Urology, John and Carol Walter for Urologic Health, NorthShore University HealthSystem, Evanston, Illinois.
  • Brendler CB; Division of Urology, John and Carol Walter for Urologic Health, NorthShore University HealthSystem, Evanston, Illinois.
  • Zheng SL; Division of Urology, John and Carol Walter for Urologic Health, NorthShore University HealthSystem, Evanston, Illinois.
  • Walsh PC; Department of Urology, James Buchanan Brady Urological Institute, Johns Hopkins, Baltimore, Maryland.
  • Isaacs WB; Department of Urology, James Buchanan Brady Urological Institute, Johns Hopkins, Baltimore, Maryland.
  • Xu J; Division of Urology, John and Carol Walter for Urologic Health, NorthShore University HealthSystem, Evanston, Illinois.
Prostate ; 2018 Jun 19.
Article em En | MEDLINE | ID: mdl-29923209
ABSTRACT

PURPOSE:

Family history assigns equivalent risk to all relatives based upon the degree of relationship. Recent genetic studies have identified single nucleotide polymorphisms (SNPs) that can be used to calculate a genetic risk score (GRS) to determine prostate cancer (PCa) risk. We sought to determine whether GRS can stratify PCa risk among individuals in families considered to be at higher risk due their family history of PCa. MATERIALS AND

METHODS:

Family members with hereditary PCa were recruited and genotyped for 17 SNPs associated with PCa. A GRS was calculated for all subjects. Analyses compared the distribution of GRS values among affected and unaffected family members of varying relationship degrees.

RESULTS:

Data was available for 789 family members of probands including 552 affected and 237 unaffected relatives. Median GRSs were higher among first-degree relatives compared to second- and third-degree relatives. In addition, GRS values among affected first- and second-degree relatives were significantly higher than unaffected relatives (P = 0.042 and P = 0.016, respectively). Multivariate analysis including GRS and degree of relationship demonstrated that GRS was a significant and independent predictor of PCa (OR 1.52, 95%CI 1.15-2.01).

CONCLUSION:

GRS is an easy-to-interpret, objective measure that can be used to assess differences in PCa risk among family members of affected men. GRS allows for further differentiation among family members, providing better risk assessment. While prospective validation studies are required, this information can help guide relatives in regards to the time of initiation and frequency of PCa screening.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article