Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Sep 4;113(9):1168-1176.
doi: 10.1093/jnci/djab050.

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

Affiliations

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

Zhaohui Du et al. J Natl Cancer Inst. .

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.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Association between the categorical 313-variant polygenic risk score (PRS313) and overall breast cancer risk by population. The x-axis indicates the PRS313 percentiles. The y-axis represents odds ratio (OR) values for the indicated PRS313 percentiles compared with the 40%-60% category of PRS313 as the reference (population average risk). Dots represent odds ratios and error bar lines represent standard error estimated in each population. The grey line represents results for women of African ancestry, which were estimated in this study. The yellow line represents results for Latinas obtained from a previous Latino PRS study (10). The blue line represents results for Asian women obtained from an Asian PRS study (18). The green line represents results for women of European ancestry obtained from a previous European ancestry PRS study (6). African ancestry results are also provided in Table 1.
Figure 2.
Figure 2.
Lifetime absolute risk of breast cancer by polygenic risk score (PRS) category in African American women. Lifetime absolute risk of developing breast cancer for the 313-variant PRS (PRS313) in African American women for overall breast cancer (A), estrogen receptor (ER)-positive breast cancer (B) and ER-negative breast cancer (C) and in European-ancestry women for overall breast cancer (D), ER-positive breast cancer (E), and ER-negative breast cancer (F). The x-axis represents age and the y-axis is the absolute risk of breast cancer by a given age. The different colored lines represent the corresponding PRS strata. See Methods for details about the calculation of absolute risks.

Comment in

References

    1. Mucci LA, Hjelmborg JB, Harris JR, et al. Familial risk and heritability of cancer among twins in Nordic countries. JAMA. 2016;315(1):68–76. - PMC - PubMed
    1. Park SL, Cheng I, Haiman CA.. Genome-wide association studies of cancer in diverse populations. Cancer Epidemiol Biomarkers Prev. 2018;27(4):405–417. - PMC - PubMed
    1. Milne RL, Kuchenbaecker KB, Michailidou K, et al. ; ABCTB Investigators. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. Nat Genet. 2017;49(12):1767–1778. - PMC - PubMed
    1. Michailidou K, Lindström S, Dennis J, et al. NBCS Collaborators. Association analysis identifies 65 new breast cancer risk loci. Nature. 2017;551(7678):92–94. - PMC - PubMed
    1. Mavaddat N, Pharoah PDP, Michailidou K, et al. Prediction of breast cancer risk based on profiling with common genetic variants. J Natl Cancer Inst. 2015;107(5). doi: 10.1093/jnci/djv036. - PMC - PubMed

Publication types