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Related Concept Videos

Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
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Low Penetrance Germline Genetic Testing: Role for Risk Stratification in Prostate Cancer Screening and Examples From

Franklin Gaylis1,2,3, Kelly K Bree4, Paul Dato2

  • 1Department of Urology, University of California, San Diego, San Diego, CA.

Reviews in Urology
|April 30, 2021
PubMed
Summary
This summary is machine-generated.

Personalized prostate cancer (PCa) screening using genetic testing can reduce harms associated with broad screening. This approach offers better risk assessment for informed decisions, improving early detection strategies.

Keywords:
Germline DNA testsProstate cancer screeningRisk stratificationSingle nucleotide polymorphism DNA testSomatic DNA test

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Area of Science:

  • Oncology
  • Genetics
  • Public Health

Background:

  • Broad prostate-specific antigen (PSA) screening saves lives but incurs significant human and financial costs.
  • Current risk factors (age, race, family history) are insufficient for personalized prostate cancer (PCa) screening decisions.
  • Complex factors like prior biopsies and MRI results complicate PCa screening and early detection.

Purpose of the Study:

  • To explore the utility of a single nucleotide polymorphism (SNP)-based test for personalized PCa risk assessment.
  • To demonstrate how genetic risk stratification can improve PCa screening regimens.
  • To provide real-world case examples of SNP-based testing in clinical practice.

Main Methods:

  • Case study presentation illustrating the application of a SNP-based genetic test.
  • Analysis of how personalized risk assessment informs screening decisions.
  • Focus on integrating genetic data with clinical factors for risk-stratified screening.

Main Results:

  • SNP-based testing provides personalized PCa risk information for patients and providers.
  • This genetic data facilitates the development of tailored screening strategies.
  • Case examples highlight the practical application and potential benefits of this approach.

Conclusions:

  • Genetic testing offers a valuable tool for refining PCa screening protocols.
  • Personalized risk assessment can mitigate harms associated with widespread screening.
  • Improved risk stratification holds promise for more effective early detection of PCa.