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A Breast Cancer Polygenic Risk Score Validation in 15,490 Brazilians Using Exome Sequencing.

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Summary
This summary is machine-generated.

Polygenic risk scores (PRS) for breast cancer (BC) risk prediction were evaluated in Brazil's admixed population. PRS3820 showed the best performance, offering a promising tool for BC precision medicine in Brazil.

Keywords:
admixed populationbreast cancercancer geneticsnext-generation sequencing (NGS)polygenic risk score (PRS)precision medicine

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Area of Science:

  • Genetics
  • Oncology
  • Population Health

Background:

  • Polygenic risk scores (PRSs) are crucial for disease risk prediction but often lack validation in diverse populations.
  • Brazil's highly admixed population presents unique challenges for applying PRSs developed in European cohorts.
  • Assessing PRS utility for breast cancer (BC) risk in Brazil is essential for personalized medicine.

Purpose of the Study:

  • To evaluate the performance of four different polygenic risk scores (PRSs) for predicting breast cancer (BC) risk in a Brazilian cohort.
  • To determine the most effective PRS for risk stratification in a population with significant genetic admixture.

Main Methods:

  • A Brazilian cohort of 5598 BC cases and 8767 controls was analyzed after excluding individuals with high-penetrance mutations.
  • Genomic variants were imputed from exome data to calculate PRS values for all participants.
  • Four distinct PRS models were compared for their predictive accuracy.

Main Results:

  • PRS3820 demonstrated the best performance, with an odds ratio (OR) of 1.43 per standard deviation increase and an OR of 1.88 for the top decile.
  • PRS3820 showed consistent performance across different ancestral groups within the Brazilian cohort.
  • PRS313 also showed validation, but PRS3820 exhibited superior predictive capability.

Conclusions:

  • PRS3820 is a validated and effective tool for breast cancer risk prediction in the Brazilian population.
  • This study represents a significant advancement towards implementing precision medicine for breast cancer in Brazil.
  • Further clinical validation is recommended to guide the integration of PRS into clinical practice.