From the Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil 20231-050.
the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612.
J Biol Chem. 2019 Apr 12;294(15):5980-5992. doi: 10.1074/jbc.RA118.005274. Epub 2019 Feb 14.
Genetic testing for , a DNA repair protein, can identify carriers of pathogenic variants associated with a substantially increased risk for breast and ovarian cancers. However, an association with increased risk is unclear for a large fraction of variants present in the human population. Most of these variants of uncertain clinical significance lead to amino acid changes in the BRCA1 protein. Functional assays are valuable tools to assess the potential pathogenicity of these variants. Here, we systematically probed the effects of substitutions in the C terminus of BRCA1: the N- and C-terminal borders of its tandem BRCT domain, the BRCT-[N-C] linker region, and the α1 and α'1 helices in BRCT-[N] and -[C]. Using a validated transcriptional assay based on a fusion of the GAL4 DNA-binding domain to the BRCA1 C terminus (amino acids 1396-1863), we assessed the functional impact of 99 missense variants of BRCA1. We include the data obtained for these 99 missense variants in a joint analysis to generate the likelihood of pathogenicity for 347 missense variants in using VarCall, a Bayesian integrative statistical model. The results from this analysis increase our understanding of BRCA1 regions less tolerant to changes, identify functional borders of structural domains, and predict the likelihood of pathogenicity for 98% of all BRCA1 missense variants in this region recorded in the population. This knowledge will be critical for improving risk assessment and clinical treatment of carriers of variants.
BRCA1 基因检测,可以识别与乳腺癌和卵巢癌风险显著增加相关的致病性变异携带者。然而,在人类群体中存在的大量 变异中,很大一部分与增加的风险之间的关联尚不清楚。这些具有临床意义不确定的大多数变异导致 BRCA1 蛋白中的氨基酸变化。功能检测是评估这些变异潜在致病性的有价值工具。在这里,我们系统地研究了 BRCA1 末端的取代的影响:其串联 BRCT 结构域的 N-和 C-末端边界、BRCT-[N-C]连接区以及 BRCT-[N]和 -[C]中的 α1 和 α'1 螺旋。我们使用基于 GAL4 DNA 结合域与 BRCA1 C 末端(氨基酸 1396-1863)融合的验证转录测定法,评估了 99 种 BRCA1 错义变异的功能影响。我们将这些 99 种错义变异获得的数据纳入联合分析中,以使用 VarCall(一种贝叶斯综合统计模型)生成 347 种 BRCA1 错义变异在 中的致病性可能性。该分析的结果增加了我们对变化耐受性较差的 BRCA1 区域的理解,确定了结构域的功能边界,并预测了该区域中记录的所有 BRCA1 错义变异中 98%的致病性可能性。这一知识对于改善携带者的风险评估和临床治疗至关重要。