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. 2024 Jul 18;5(3):100302.
doi: 10.1016/j.xhgg.2024.100302. Epub 2024 May 3.

Generalizability of PGS313 for breast cancer risk in a Los Angeles biobank

Affiliations

Generalizability of PGS313 for breast cancer risk in a Los Angeles biobank

Helen Shang et al. HGG Adv. .

Abstract

Polygenic scores (PGSs) summarize the combined effect of common risk variants and are associated with breast cancer risk in patients without identifiable monogenic risk factors. One of the most well-validated PGSs in breast cancer to date is PGS313, which was developed from a Northern European biobank but has shown attenuated performance in non-European ancestries. We further investigate the generalizability of the PGS313 for American women of European (EA), African (AFR), Asian (EAA), and Latinx (HL) ancestry within one institution with a singular electronic health record (EHR) system, genotyping platform, and quality control process. We found that the PGS313 achieved overlapping areas under the receiver operator characteristic (ROC) curve (AUCs) in females of HL (AUC = 0.68, 95% confidence interval [CI] = 0.65-0.71) and EA ancestry (AUC = 0.70, 95% CI = 0.69-0.71) but lower AUCs for the AFR and EAA populations (AFR: AUC = 0.61, 95% CI = 0.56-0.65; EAA: AUC = 0.64, 95% CI = 0.60-0.680). While PGS313 is associated with hormone-receptor-positive (HR+) disease in EA Americans (odds ratio [OR] = 1.42, 95% CI = 1.16-1.64), this association is lost in African, Latinx, and Asian Americans. In summary, we found that PGS313 was significantly associated with breast cancer but with attenuated accuracy in women of AFR and EAA descent within a singular health system in Los Angeles. Our work further highlights the need for additional validation in diverse cohorts prior to the clinical implementation of PGSs.

Keywords: PRS313; Polygenic scores; big data; biobank; bioinformatics; breast cancer; cancer risk prediction; genetic admixture.

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Conflict of interest statement

Declaration of interests The authors declare no competing interests.

Figures

Figure 1
Figure 1
Distribution of PGS313 in cases and controls Kernel distribution estimation plots of PGS313 scores in cases and controls by genetically inferred ancestry (GIA). The orange curves represent scores for cases and blue curves represent scores for controls. The raw PGS313 scores of the European population (European ancestry [EA]) was normalized to a standard deviation of 1 and a mean of 0. The remaining GIAs were normalized to the average and standard deviation of EA samples.
Figure 2
Figure 2
Association of PGS313 deciles with breast cancer relative to the 50th percentile Association between PGS313 and breast cancer diagnoses in American women of African (AA), European (EA), East Asian American (EAA), and Hispanic (HL) ancestry, based on GIAs, where the OR is plotted on the y axis and percentiles of the PGS313 are plotted on the x axis. ORs and 95% confidence intervals are shown. ORs are for different deciles of the PGS relative to the 50th percentile of the PGS.

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