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Updated: Jan 20, 2026

Functional Assessment of BRCA1 variants using CRISPR-Mediated Base Editors
Published on: February 28, 2021
A CRISPR-based base-editing screen for the functional assessment of BRCA1 variants
Jiyeon Kweon1,2, An-Hee Jang1,2, Ha Rim Shin1,2
1Department of Biomedical Sciences, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
CRISPR base editing efficiently identifies BRCA1 gene variants impacting DNA repair. This powerful tool aids in reclassifying variants of uncertain significance, improving clinical management of hereditary breast and ovarian cancer risks.
Area of Science:
- Genetics
- Molecular Biology
- Cancer Research
Background:
- BRCA1 gene mutations significantly elevate breast and ovarian cancer risks.
- Functional assessment of novel BRCA1 variants is challenging for clinical management.
- Accurate variant classification is crucial for patient diagnosis and treatment.
Purpose of the Study:
- To evaluate CRISPR-mediated cytosine base editor (BE3) for functional analysis of BRCA1 variants.
- To identify loss-of-function BRCA1 variants using base-editing screening.
- To demonstrate the utility of base editing for reclassifying variants of uncertain significance (VUSs).
Main Methods:
- Utilized CRISPR-mediated base editing with 745 guide RNAs (gRNAs) targeting all BRCA1 exons.
- Performed high-throughput screening to identify variants affecting BRCA1 function.
- Analyzed specific variants including c.-97C>T, c.154C>T, c.3847C>T, c.5056C>T, and c.4986+5G>A.
Main Results:
- Successfully identified several loss-of-function BRCA1 variants.
- Characterized the functional impact of previously uncharacterized variants.
- Demonstrated CRISPR base editing's capability to detect functional defects in BRCA1.
Conclusions:
- CRISPR-mediated base editing is a powerful tool for functional genomics.
- This technology facilitates the reclassification of BRCA1 variants of uncertain significance (VUSs).
- Improved variant classification aids in better clinical management of hereditary cancer risks.
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