PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 5, 2025Genome Medicine15 citationsOpen Access

Integrating breast cancer polygenic risk scores at scale in the WISDOM Study: a national randomized personalized screening trial

View Full Paper
KFKirkpatrick B. FergusRHRachel S. HeiseLMLisa Madlensky

Key Points

  • Incorporating polygenic risk scores leads to changed screening recommendations for 14% of women aged 40–49.
  • Participants in the risk-based arm included 21,631 women, highlighting notable PRS differences among racial and ethnic groups.
  • The WISDOM trial tests risk-based versus annual screening for women aged 40–74, focusing on the impact of PRS integration.
  • Results show moderate changes in screening recommendations with minimal projected burden on the healthcare system.

Abstract

Abstract Background The Women Informed to Screen Depending On Measures of risk (WISDOM) Study is the first prospective, population-wide application of personalized breast cancer screening. We aim to demonstrate the feasibility of the study’s novel use of polygenic risk scores (PRSs) to tailor screening, evaluate our strategy for adapting PRSs to diverse populations, and quantify the impact of incorporating PRS on the study’s screening recommendations. Methods WISDOM is a randomized, preference-tolerant screening trial in the USA testing the safety and morbidity of risk-based versus annual screening in women aged 40–74 without a prior history of breast cancer. This early report includes participants in the risk-based arm only and compares screening recommendations generated by the Breast Cancer Surveillance Consortium (BCSC) clinical risk model alone versus the BCSC model modified by a PRS (BCSC-PRS). The main outcome of interest is the proportion of participants with a change in screening recommendation after integrating PRS for risk stratification. Results In the risk-based arm, 21,631 participants received a PRS. Small but statistically significant differences in the PRS were seen between major racial and ethnic groups ( p < 0.001), and higher PRS was associated with greater extent of family history ( p < 0.001) and denser breasts ( p < 0.001). BCSC-PRS risk estimates changed the screening recommendations for 14% of women aged 40–49 compared to BCSC alone and for 10% of women aged 50–74. Projected net screening encounters at the population level were similar for both age groups. Conclusions In a first-in-kind application of PRS to inform breast cancer screening approaches, we demonstrate feasibility for scaled implementation, moderate changes to individual screening recommendations, and minimal projected downstream burden on the healthcare system. Trial registration Prospectively registered on ClinicalTrials.gov as NCT02620852 on 12/2/2015.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Fergus et al. (2025) studied this question.

synapsesocial.com/papers/68bb3edf2b87ece8dc956d4fhttps://doi.org/10.1186/s13073-025-01524-7
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Genome-wide patterns of population structure and admixture among Hispanic/Latino populations2010 · 468 citations
  2. 2Breast Density and Benign Breast Disease: Risk Assessment to Identify Women at High Risk of Breast Cancer2015 · 243 citations
  3. 3Clinical applications of polygenic breast cancer risk: a critical review and perspectives of an emerging field2020 · 164 citations
  4. 4Evaluating Polygenic Risk Scores for Breast Cancer in Women of African Ancestry2021 · 76 citations
  5. 5Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes2018 · 1,208 citations