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Evaluating Polygenic Risk Scores for Breast Cancer in Women of African Ancestry

  • Zhaohui Du
  • , Guimin Gao
  • , Babatunde Adedokun
  • , Thomas Ahearn
  • , Kathryn L. Lunetta
  • , Gary Zirpoli
  • , Melissa A. Troester
  • , Edward A. Ruiz-Narváez
  • , Stephen A. Haddad
  • , Parichoy Palchoudhury
  • , Jonine Figueroa
  • , Esther M. John
  • , Leslie Bernstein
  • , Wei Zheng
  • , Jennifer J. Hu
  • , Regina G. Ziegler
  • , Sarah Nyante
  • , Elisa V. Bandera
  • , Sue A. Ingles
  • , Nicholas Mancuso
  • Michael F. Press, Sandra L. Deming, Jorge L. Rodriguez-Gil, Song Yao, Temidayo O. Ogundiran, Oladosu Ojengbe, Manjeet K. Bolla, Joe Dennis, Alison M. Dunning, Douglas F. Easton, Kyriaki Michailidou, Paul D.P. Pharoah, Dale P. Sandler, Jack A. Taylor, Qin Wang, Clarice R. Weinberg, Cari M. Kitahara, William Blot, Katherine L. Nathanson, Anselm Hennis, Barbara Nemesure, Stefan Ambs, Lara E. Sucheston-Campbell, Jeannette T. Bensen, Stephen J. Chanock, Andrew F. Olshan, Christine B. Ambrosone, Olufunmilayo I. Olopade, Joel Yarney, Baffour Awuah, Beatrice Wiafe-Addai, David V. Conti, Julie R. Palmer, Montserrat Garcia-Closas, Dezheng Huo, Christopher A. Haiman
  • University of Southern California
  • Fred Hutchinson Cancer Research Center
  • The University of Chicago
  • National Institutes of Health
  • Boston University
  • University of North Carolina at Chapel Hill
  • University of Edinburgh
  • Cancer Research UK
  • Stanford University
  • City of Hope National Med Center
  • Vanderbilt University
  • University of Miami
  • University of North Carolina at Chapel Hill
  • Rutgers - The State University of New Jersey, New Brunswick
  • University of Wisconsin-Madison
  • Roswell Park Cancer Institute
  • University of Ibadan
  • University of Cambridge
  • Cyprus Institute of Neurology and Genetics
  • International Epidemiology Institute
  • University of Pennsylvania
  • The University of the West Indies
  • Ohio State University
  • Korle Bu Teaching Hospital
  • Komfo Anoyke Teaching Hospital
  • Peace and Love Hospital

Research output: Contribution to journalArticlepeer-review

59 Scopus citations

Abstract

Background: Polygenic risk scores (PRSs) have been demonstrated to identify women of European, Asian, and Latino ancestry at elevated risk of developing breast cancer (BC). We evaluated the performance of existing PRSs trained in European ancestry populations among women of African ancestry. Methods: We assembled genotype data for women of African ancestry, including 9241 case subjects and 10 193 control subjects. We evaluated associations of 179- and 313-variant PRSs with overall and subtype-specific BC risk. PRS discriminatory accuracy was assessed using area under the receiver operating characteristic curve. We also evaluated a recalibrated PRS, replacing the index variant with variants in each region that better captured risk in women of African ancestry and estimated lifetime absolute risk of BC in African Americans by PRS category. Results: For overall BC, the odds ratio per SD of the 313-variant PRS (PRS313) was 1.27 (95% confidence interval [CI] = 1.23 to 1.31), with an area under the receiver operating characteristic curve of 0.571 (95% CI = 0.562 to 0.579). Compared with women with average risk (40th-60th PRS percentile), women in the top decile of PRS313 had a 1.54-fold increased risk (95% CI = 1.38-fold to 1.72-fold). By age 85 years, the absolute risk of overall BC was 19.6% for African American women in the top 1% of PRS313 and 6.7% for those in the lowest 1%. The recalibrated PRS did not improve BC risk prediction. Conclusion: The PRSs stratify BC risk in women of African ancestry, with attenuated performance compared with that reported in European, Asian, and Latina populations. Future work is needed to improve BC risk stratification for women of African ancestry.

Original languageEnglish
Pages (from-to)1168-1176
Number of pages9
JournalJournal of the National Cancer Institute
Volume113
Issue number9
DOIs
StatePublished - Sep 1 2021

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