4.1 Article

NEXT GENERATION SEQUENCING REVEALS HIGH PREVALENCE OF BRCA1 AND BRCA2 VARIANTS OF UNKNOWN SIGNIFICANCE IN EARLY-ONSET BREAST CANCER IN AFRICAN AMERICAN WOMEN

Journal

ETHNICITY & DISEASE
Volume 27, Issue 2, Pages 169-178

Publisher

INT SOC HYPERTENSION BLACKS-ISHIB
DOI: 10.18865/ed.27.2.169

Keywords

BRCA1; BRCA2; Familial Breast Cancer; Hereditary Breast Cancer; Next Generation Sequencing; African American; Precision Medicine; Cancer Disparities

Funding

  1. Department of Defense grants [BC030134, BC02234, DAMD179616292]
  2. National Cancer Institute [CA092040, AA09802]
  3. National Center for Research Resources (NCRR, National Institutes of Health), through the Clinical and Translational Science Awards Program (CTSA), a trademark of DHHS, part of the Roadmap Initiative, Re-Engineering the Clinical Research Enterprise [UL1RR031975]
  4. RCMI Program at Howard University, Division of Research Infrastructure, National Center for Research Resources [G12 RR003048]
  5. Howard University Cancer Center/Johns Hopkins Cancer Center Partnership, National Cancer Institute, NIH [U54 CA091431]
  6. Hampton University
  7. Georgetown-Howard Universities Center for Clinical and Translational Sciences [NCATS-UL1TR000101]
  8. U.S. Department of Defense (DOD) [DAMD179616292] Funding Source: U.S. Department of Defense (DOD)

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Background: Variants of unknown significance (VUSs) have been identified in BRCA1 and BRCA2 and account for the majority of all identified sequence alterations. Notably, VUSs occur disproportionately in people of African descent hampering breast cancer (BCa) management and prevention efforts in the population. Our study sought to identify and characterize mutations associated with increased risk of BCa at young age. Methods: In our study, the spectrum of mutations in BRCA1 and BRCA2 was enumerated in a cohort of 31 African American women of early age at onset breast cancer, with a family history of breast or cancer in general and/or with triple negative breast cancer. To improve the characterization of the BRCA1 and BRCA2 variants, bioinformatics tools were utilized to predict the potential function of each of the variants. Results: Using next generation sequencing methods and in silico analysis of variants, a total of 197 BRCA1 and 266 BRCA2 variants comprising 77 unique variants were identified in 31 patients. Of the 77 unique variants, one (1.3%) was a pathogenic frameshift mutation (rs80359304; BRCA2 Met591Ile), 13 (16.9%) were possibly pathogenic, 34 (44.2%) were benign, and 29 (37.7%) were VUSs. Genetic epidemiological approaches were used to determine the association with variant, haplotype, and phenotypes, such as age at diagnosis, family history of cancer and family history of breast cancer. There were 5 BRCA1 SNPs associated with age at diagnosis; rs1799966 (P=. 045; Log Additive model), rs16942 (P=. 033; Log Additive model), rs1799949 (P=. 058; Log Additive model), rs373413425 (P=. 040 and.023; Dominant and Log Additive models, respectively) and rs3765640 (P=. 033 Log Additive model). Additionally, a haplotype composed of all 5 SNPs was found to be significantly associated with younger age at diagnosis using linear regression modeling (P=.023). Specifically, the haplotype containing all the variant alleles was associated with older age at diagnosis (OR= 5.03 95% CI=. 91-9.14). Conclusions: Knowing a patient's BRCA mutation status is important for prevention and treatment decision-making. Improving the characterization of mutations will lead to better management, treatment, and BCa prevention efforts in African Americans who are disproportionately affected with aggressive BCa and may inform future precision medicine genomic-based clinical studies.

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