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. 2024 May;56(5):819-826.
doi: 10.1038/s41588-024-01736-4. Epub 2024 May 13.

Genome-wide association analyses of breast cancer in women of African ancestry identify new susceptibility loci and improve risk prediction

Affiliations

Genome-wide association analyses of breast cancer in women of African ancestry identify new susceptibility loci and improve risk prediction

Guochong Jia et al. Nat Genet. 2024 May.

Abstract

We performed genome-wide association studies of breast cancer including 18,034 cases and 22,104 controls of African ancestry. Genetic variants at 12 loci were associated with breast cancer risk (P < 5 × 10-8), including associations of a low-frequency missense variant rs61751053 in ARHGEF38 with overall breast cancer (odds ratio (OR) = 1.48) and a common variant rs76664032 at chromosome 2q14.2 with triple-negative breast cancer (TNBC) (OR = 1.30). Approximately 15.4% of cases with TNBC carried six risk alleles in three genome-wide association study-identified TNBC risk variants, with an OR of 4.21 (95% confidence interval = 2.66-7.03) compared with those carrying fewer than two risk alleles. A polygenic risk score (PRS) showed an area under the receiver operating characteristic curve of 0.60 for the prediction of breast cancer risk, which outperformed PRS derived using data from females of European ancestry. Our study markedly increases the population diversity in genetic studies for breast cancer and demonstrates the utility of PRS for risk prediction in females of African ancestry.

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Conflict of interest statement

Competing interests

Olufunmilayo I. Olopade (O.I.O) is co-founder at CancerIQ, serves as Scientific Advisor at Tempus and is on the Board of 54gene. Atara Ntekim (A.N) received research support from Roche. All other authors declare no competing interests.

Figures

Extended Data Fig. 1
Extended Data Fig. 1
Genome-wide association with overall breast cancer and subtypes. (a) Overall breast cancer, (b) ER-positive breast cancer, (c) ER-negative breast cancer, (d) triple-negative breast cancer. Associations were estimated in each dataset and meta-analyzed with fixed effects model. Logistic regression was used for genome-wide association analyses, with two-sided tests, using 5 × 10−8 as genome-wide significance level (dashed lines).
Extended Data Fig. 2
Extended Data Fig. 2
Forest plot for risk estimates of selected variants. (a) missense variant rs61751053 at locus 4q24 in association with overall breast cancer, T allele as effect allele; (b) novel variant rs10853615 at locus 18q11.2 in association with ER-positive breast cancer, A allele as effect allele; (c) novel risk variant rs76664032 at locus 2q14.2 in association with ER-negative breast cancer, A allele as effect allele; (d) novel risk variant rs76664032 at locus 2q14.2 in association with TNBC, A allele as effect allele. r2, imputation quality score. a. Studies for each dataset are described in Supplementary Note and Supplementary Table 1. EAF, effect allele frequency. CI, confidence interval. Logistic regression was used for association analyses with two-sided tests. The sample size (n) was shown for each participating study/dataset. In the bar plot, the log odds ratios (beta) are presented as mean ±1.96*standard error, with mean value as the center and 95% CI as the minimum and maximum.
Extended Data Fig. 3
Extended Data Fig. 3
Distribution of PRS in the testing set of samples. (a) The PRSAFR was calculated using 94 selected variants with weights derived from the training samples; (b) The PRSEUR constructed with previously reported weight derived from European-ancestry women. Both PRSs were divided by the standard deviation in controls and centered at the mean in controls.
Figure 1.
Figure 1.. Cumulative absolute risk of breast cancer by polygenic risk score (PRS) category among females of African ancestry.
The dotted horizontal line shows the cumulative risk at age 50 years for females with an average PRS (40–59%).

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