High-throughput functional evaluation of BRCA2 variants of unknown significance.
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ABSTRACT:
SUBMITTER: Ikegami M
PROVIDER: S-EPMC7244490 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundThe explosive growth in known human gene variation presents enormous challenges to current approaches for variant classification that have implications for diagnosis and treatment of many genetic diseases. For disorders caused by mutations in cardiac ion channels as in congenital arrhythmia syndromes, in vitro electrophysiological evidence has high value in discriminating pathogenic from benign variants, but these data are often lacking because assays are cost, time, and labor intensive.MethodsWe implemented a strategy for performing high-throughput functional evaluations of ion channel variants that repurposed an automated electrophysiological recording platform developed previously for drug discovery.ResultsWe demonstrated the success of this approach by evaluating 78 variants in KCNQ1, a major gene involved in genetic disorders of cardiac arrhythmia susceptibility. We benchmarked our results with traditional electrophysiological approaches and observed a high level of concordance. This strategy also enabled studies of dominant-negative behavior of variants exhibiting severe loss-of-function. Overall, our results provided functional data useful for reclassifying >65% of the studied KCNQ1 variants.ConclusionsOur results illustrate an efficient and high-throughput paradigm linking genotype to function for a human cardiac ion channel that will enable data-driven classification of large numbers of variants and create new opportunities for precision medicine.
| S-EPMC6309341 | biostudies-literature
Project description:Heterozygous germline BRCA2 mutations predispose to breast, ovarian, pancreatic and other types of cancer. The presence of a pathogenic mutation in patients or their family members warrants close surveillance or prophylactic surgery. Besides clearly pathogenic mutations, variants leading only to a single amino acid substitution are often identified. The influence of such variants on cancer risk is often unknown, making their presence a major clinical problem. When genetic methods are insufficient to classify these variants, functional assays with various cellular models are performed. We developed and applied a new syngeneic model of human cancer cells to test all variants of unknown significance in exon 18 identified by genetic testing of high-risk cancer patients in the Czech Republic, via introduction of constructs containing each of these variants into the wild-type allele of BRCA2-heterozygous DLD1 cells (BRCA2wt/Δex11). We found unaffected DNA repair function of BRCA2 in cell lines BRCA27997G>C/Δex11, BRCA28111C>T/Δex11, BRCA28149G>T/Δex11, BRCA28182G>A/Δex11, and BRCA28182G>T/Δex11, whereas the cell line BRCA28168A>G/Δex11 and the nonsense mutation carrying line BRCA28305G>T/Δex11 did affect protein function. Targeting the BRCA2 wild-type allele with a construct carrying the variant c.7988A> G resulted in incorporation exclusively into the already defective allele in all viable clones, strongly suggesting a detrimental phenotype. Our model thus offers a valuable tool for the functional evaluation of unclassified variants in the BRCA2 gene and provides a stable and distributable cellular resource for further research.
| S-EPMC6606029 | biostudies-literature
Project description:Many sequence variants in predisposition genes are of uncertain clinical significance, and classification of these variants into high- or low-risk categories is an important problem in clinical genetics. Classification of such variants can be performed by direct epidemiological observations, including cosegregation with disease in families and degree of family history of the disease, or by indirect measures, including amino acid conservation, severity of amino acid change, and evidence from functional assays. In this study, we have developed an approach to the synthesis of such evidence in a multifactorial likelihood-ratio model. We applied this model to the analysis of three unclassified variants in BRCA1 and three in BRCA2. The evidence strongly suggests that two variants (C1787S in BRCA1 and D2723H in BRCA2) are deleterious, three (R841W in BRCA1 and Y42C and P655R in BRCA2) are neutral, and one (R1699Q in BRCA1) remains of uncertain significance. These results provide a demonstration of the utility of the model.
| S-EPMC1182042 | biostudies-literature
Project description:Current evidence suggests that the genetic risk of breast cancer may be caused primarily by rare variants. However, while classification of protein-truncating mutations as deleterious is relatively straightforward, distinguishing as deleterious or neutral the large number of rare missense variants is a difficult on-going task. In this article, we present one approach to this problem, hierarchical statistical modeling of data observed in a case-control study of contralateral breast cancer (CBC) in which all the participants were genotyped for variants in BRCA1 and BRCA2. Hierarchical modeling permits leverage of information from observed correlations of characteristics of groups of variants with case-control status to infer with greater precision the risks of individual rare variants. A total of 181 distinct rare missense variants were identified among the 705 cases with CBC and the 1,398 controls with unilateral breast cancer. The model identified three bioinformatic hierarchical covariates, align-GV, align-GD, and SIFT scores, each of which was modestly associated with risk. Collectively, the 11 variants that were classified as adverse on the basis of all the three bioinformatic predictors demonstrated a stronger risk signal. This group included five of six missense variants that were classified as deleterious at the outset by conventional criteria. The remaining six variants can be considered as plausibly deleterious, and deserving of further investigation (BRCA1 R866C; BRCA2 G1529R, D2665G, W2626C, E2663V, and R3052W). Hierarchical modeling is a strategy that has promise for interpreting the evidence from future association studies that involve sequencing of known or suspected cancer genes.
| S-EPMC3111904 | biostudies-literature
Project description:BackgroundGermline mutations in BRCA1/2 significantly contribute to hereditary breast and/or ovarian cancer. Here, we report a novel BRCA2 duplication of exons 22-24 in a female patient with bilateral breast cancer at age 35 and 44. The duplicated region was initially detected by gene panel sequencing and multiplex ligation-dependent probe amplification. However, the location and orientation of the duplicated region was unknown. Therefore, it was initially classified as a variant of unknown significance.MethodsThe spatial directional characterization of the BRCA2 duplication was achieved by targeted enrichment of the whole-genomic BRCA2 locus including exons and introns, and subsequent high-throughput sequencing. Subsequently, bioinformatics tools and a breakpoint-spanning PCR were used for identification of location and orientation of the duplication.ResultsThe duplicated region was arranged in tandem and direct orientation (Chr13(GRCh37):g.32951579_32960394dup; NM_000059.3 c.8754 + 651_9256+6112dup p.(Ala3088Phefs*3)). It is predicted to result in a frameshift and a premature stop codon likely triggering nonsense-mediated mRNA decay. Consequently, it is regarded as pathogenic.ConclusionThis case study demonstrates that a comprehensive characterization of a structural variant by breakpoint assessment is crucial for its correct classification. Therefore, sequencing strategies including non-coding regions might be necessary to identify cancer predispositions in affected families.
| S-EPMC7506983 | biostudies-literature
Project description:PURPOSE:Genetic testing has uncovered large numbers of variants in the BRCA2 gene for which the clinical significance is unclear. Cancer risk prediction of these variants of uncertain significance (VUS) can be improved by reliable assessment of the extent of impairment of the tumor suppressor function(s) of BRCA2. METHODS:Here, we evaluated the performance of the mouse embryonic stem cell (mESC)-based functional assay on an extensive set of BRCA2 missense variants. RESULTS:Whereas all 20 nonpathogenic (class 1/2) variants were able to complement the cell lethal phenotype induced by loss of endogenous mouse Brca2, only 1 out of 15 pathogenic (class 4/5) variants (p.Gly2609Asp) was able to do so. However, in this variant the major tumor suppressive activity of BRCA2, i.e., homology directed repair (HDR), was severely abrogated. Among 43 evaluated VUS (class 3), 7 were unable to complement the lethal phenotype of mouse Brca2 loss while 7 other variants displayed a more severe reduction of HDR activity than observed for class 1/ 2 variants. CONCLUSION:The mESC-based BRCA2 functional assay can reliably determine the functional impact of VUS, distinguish between pathogenic and nonpathogenic variants, and may contribute to improved cancer risk estimation for BRCA2 VUS carriers.
| S-EPMC6752316 | biostudies-literature
Project description:BACKGROUND:An emerging standard-of-care for long-QT syndrome uses clinical genetic testing to identify genetic variants of the KCNQ1 potassium channel. However, interpreting results from genetic testing is confounded by the presence of variants of unknown significance for which there is inadequate evidence of pathogenicity. METHODS AND RESULTS:In this study, we curated from the literature a high-quality set of 107 functionally characterized KCNQ1 variants. Based on this data set, we completed a detailed quantitative analysis on the sequence conservation patterns of subdomains of KCNQ1 and the distribution of pathogenic variants therein. We found that conserved subdomains generally are critical for channel function and are enriched with dysfunctional variants. Using this experimentally validated data set, we trained a neural network, designated Q1VarPred, specifically for predicting the functional impact of KCNQ1 variants of unknown significance. The estimated predictive performance of Q1VarPred in terms of Matthew's correlation coefficient and area under the receiver operating characteristic curve were 0.581 and 0.884, respectively, superior to the performance of 8 previous methods tested in parallel. Q1VarPred is publicly available as a web server at http://meilerlab.org/q1varpred. CONCLUSIONS:Although a plethora of tools are available for making pathogenicity predictions over a genome-wide scale, previous tools fail to perform in a robust manner when applied to KCNQ1. The contrasting and favorable results for Q1VarPred suggest a promising approach, where a machine-learning algorithm is tailored to a specific protein target and trained with a functionally validated data set to calibrate informatics tools.
| S-EPMC5679743 | biostudies-literature
Project description:Missense variants in the BRCA2 gene are routinely detected during clinical screening for pathogenic mutations in patients with a family history of breast and ovarian cancer. These subtle changes frequently remain of unknown clinical significance because of the lack of genetic information that may help establish a direct correlation with cancer predisposition. Therefore, alternative ways of predicting the pathogenicity of these variants are urgently needed. Since BRCA2 is a protein involved in important cellular mechanisms such as DNA repair, replication, and cell cycle control, functional assays have been developed that exploit these cellular activities to explore the impact of the variants on protein function. In this review, we summarize assays developed and currently utilized for studying missense variants in BRCA2. We specifically depict details of each assay, including variants of uncertain significance analyzed, and describe a validation set of (genetically) proven pathogenic and neutral missense variants to serve as a golden standard for the validation of each assay. Guidelines are proposed to enable implementation of laboratory-based methods to assess the impact of the variant on cancer risk.
| S-EPMC3995136 | biostudies-literature
Project description:Increasing use of next-generation sequencing technologies in clinical diagnostics allows large-scale discovery of genetic variants, but also results in frequent identification of variants of unknown significance (VUSs). Their classification into disease-causing and neutral variants is often hampered by the absence of robust functional tests. Here, we demonstrate that a luciferase reporter assay, in combination with ChIP-qPCR, reliably separates pathogenic ZBTB24 missense variants in the context of immunodeficiency, centromeric instability, facial anomalies (ICF) syndrome from natural variants in healthy individuals and patients of other diseases. Application of our assay to two published ZBTB24 missense VUSs indicates that they are likely not to cause ICF2 syndrome. Furthermore, we show that rare gnomAD ZBTB24 missense variants in key residues of the C2H2-ZF domain lead to a loss of function phenotype that resembles ICF2, suggesting that these individuals are carriers of ICF syndrome. In summary, we have developed a robust functional test to validate missense variants in ZBTB24.
| S-EPMC6771626 | biostudies-literature
Project description:Characterizing the pathogenicity of DNA sequence variants of unknown significance (VUS) is a major bottleneck in human genetics, and is increasingly important in determining which patients with inherited retinal diseases could benefit from gene therapy. A library of 210 rhodopsin (RHO) variants from literature and in-house genetic diagnostic testing were created to efficiently detect pathogenic RHO variants that fail to express on the cell surface. This study, while focused on RHO, demonstrates a streamlined, generalizable method for detecting pathogenic VUS. A relatively simple next-generation sequencing-based readout was developed so that a flow cytometry-based assay could be performed simultaneously on all variants in a pooled format, without the need for barcodes or viral transduction. The resulting dataset characterized the surface expression of every RHO library variant with a high degree of reproducibility (r2 = 0.92-0.95), recategorizing 37 variants. For example, three retinitis pigmentosa pedigrees were solved by identifying VUS which showed low expression levels (p.G18D, p.G101V, and p.P180T). Results were validated across multiple assays and correlated with clinical disease severity. This study presents a parallelized, higher-throughput cell-based assay for the functional characterization of VUS in RHO, and can be applied more broadly to other inherited retinal disease genes and other disorders.
| S-EPMC7027811 | biostudies-literature