Variant Classification Discordance: Contributing Factors and Predictive Models.

An ever-growing catalog of human variants is hosted in the ClinVar database. In this database, submissions on a variant are combined into a multisubmitter record; and in the case of discordance in variant classification between submitters, the record is labeled as conflicting. The current study used ClinVar data to identify characteristics that would make variants more likely to be associated with the conflict class of variants. Furthermore, the Extreme Gradient Boosting algorithm was used to train classifier models to provide prediction of classification discordance for single submission variants in ClinVar database. Population allele frequency, the gene harboring the variant, variant type, consequence on protein, variant deleteriousness score, first submitter identity, and submission count were associated with conflict in variant classification. Using such features, the optimized classifier showed accuracy on the test set of 88% with the weighted average of precision, recall, and f1-score of 0.84, 0.88, and 0.85, respectively. There were pronounced associations between variant classification discordance and allele frequency, gene type, and the identity of the first submitter. The study provides the predicted discordance status for single-submitter variants deposited in ClinVar. This approach can be used to assess whether single-submitter variants are likely to be supported, or in conflict with, future entries; this knowledge may help laboratories with clinical variant assessment.

BRCA1 Variant Assessment Using a Simple Analytic Assay.

BACKGROUND: We previously developed a biological assay to accurately predict BRCA1 (BRCA1 DNA repair associated) mutation status, based on gene expression profiles of Epstein-Barr virus-transformed lymphoblastoid cell lines. The original work was done using whole genome expression microarrays, and nearest shrunken centroids analysis. While these approaches are appropriate for model building, they are difficult to implement clinically, where more targeted testing and analysis are required for time and cost savings. METHODS: Here, we describe adaptation of the original predictor to use the NanoString nCounter platform for testing, with analysis based on the k-top scoring pairs (k-TSP) method. RESULTS: Assessing gene expression using the nCounter platform on a set of lymphoblastoid cell lines yielded 93.8% agreement with the microarray-derived data, and 87.5% overall correct classification of BRCA1 carriers and controls. Using the original gene expression microarray data used to develop our predictor with nearest shrunken centroids, we rebuilt a classifier based on the k-TSP method. This classifier relies on the relative expression of 10 pairs of genes, compared to the original 43 identified by nearest shrunken centroids (NSC), and was 96.2% concordant with the original training set prediction, with a 94.3% overall correct classification of BRCA1 carriers and controls. CONCLUSIONS: The k-TSP classifier was shown to accurately predict BRCA1 status using data generated on the nCounter platform and is feasible for initiating a clinical validation.

Mutually exclusive mutation profiles define functionally related genes in muscle invasive bladder cancer.

Muscle Invasive bladder cancer is known to have an abundance of mutations, particularly in DNA damage response and chromatin modification genes. The role of these mutations in the development and progression of the disease is not well understood. However, a mutually exclusive mutation pattern between gene pairs could suggest gene mutations of significance. For example, a mutually exclusive mutation pattern could suggest an epistatic relationship where the outcome of a mutation in one gene would have the same outcome as a mutation in a different gene. The significance of a mutually exclusive relationship was determined by establishing a normal distribution of the conditional probabilities for having a mutation in one gene and not the other as well as the reverse relationship for each gene pairing. Then these distributions were used to determine the sigma-magnitude of standard deviation by which the observed value differed from the expected, a value that can also be interpreted as the 'p-value'. This approach led to the identification of mutually exclusive mutation patterns in KDM6A and KMT2D as well as KDM6A and RB1 that suggested the observed mutation pattern did not happen by chance. Upon further investigation of these genes and their interactions, a potential similar outcome was identified that supports the concept of epistasis. Knowledge of these mutational interactions provides a better understanding of the mechanisms underlying muscle invasive bladder cancer development, and may direct therapeutic development exploiting genotoxic chemotherapy and synthetic lethality in these pathways.

Identification and characterization of a novel nuclear structure containing members of the homologous recombination and DNA damage response pathways.

The human RAD9A protein is required for successful execution of the G2/M DNA damage checkpoint. Along with RAD1 and HUS1, RAD9A exists in a heterotrimeric ring-shaped complex which is necessary for activation of the CHK1 checkpoint kinase. RAD9A is also required for proper localization of both TopBP1 and the Claspin adaptor protein during the DNA damage response. We have shown large, RAD9A-dense nuclear foci containing several members of the homologous recombination pathway as well as BRCA1 and the DNA damage marker γH2AX. This RAD9A-dense body is closely associated with the inactive X in HeLa cells but not in other cell types analyzed including a Klinefelter's syndrome-derived line containing multiple Xi. We have also shown these foci disappear after cell synchronization but are enriched after treatment with the homologous recombination inhibitor pentoxifylline. We conclude these foci are the result of an active process, suspended in perturbed cells, that involves interaction between the cell cycle checkpoint and homologous recombination machinery.

Tousled-like kinase-dependent phosphorylation of Rad9 plays a role in cell cycle progression and G2/M checkpoint exit.

Genomic integrity is preserved by checkpoints, which act to delay cell cycle progression in the presence of DNA damage or replication stress. The heterotrimeric Rad9-Rad1-Hus1 (9-1-1) complex is a PCNA-like clamp that is loaded onto DNA at structures resulting from damage and is important for initiating and maintaining the checkpoint response. Rad9 possesses a C-terminal tail that is phosphorylated constitutively and in response to cell cycle position and DNA damage. Previous studies have identified tousled-like kinase 1 (TLK1) as a kinase that may modify Rad9. Here we show that Rad9 is phosphorylated in a TLK-dependent manner in vitro and in vivo, and that T355 within the C-terminal tail is the primary targeted residue. Phosphorylation of Rad9 at T355 is quickly reduced upon exposure to ionizing radiation before returning to baseline later in the damage response. We also show that TLK1 and Rad9 interact constitutively, and that this interaction is enhanced in chromatin-bound Rad9 at later stages of the damage response. Furthermore, we demonstrate via siRNA-mediated depletion that TLK1 is required for progression through S-phase in normally cycling cells, and that cells lacking TLK1 display a prolonged G2/M arrest upon exposure to ionizing radiation, a phenotype that is mimicked by over-expression of a Rad9-T355A mutant. Given that TLK1 has previously been shown to be transiently inactivated upon phosphorylation by Chk1 in response to DNA damage, we propose that TLK1 and Chk1 act in concert to modulate the phosphorylation status of Rad9, which in turn serves to regulate the DNA damage response.

The Rad9A checkpoint protein is required for nuclear localization of the claspin adaptor protein.

The interaction between the 911 complex, via Rad9A, and Claspin is required for activation of the Chk1-mediated checkpoint response, along with ATR, TopBp1, and the 911 clamp loader complex Rad17/RFC. Despite the importance of the Rad9A-Claspin interaction in the cell cycle, this interaction has yet to be characterized. In this work we show this interaction persists in a variety of different conditions. During the course of this study we also determined the nuclear localization of Rad9A affected the localization of the Claspin protein, leading us to the conclusion that Rad9A is able to affect Claspin cellular localization. This was verified experimentally using a Rad9A-null cell line and reconstitution of Wt Rad9A. We also show that in meS cells the Rad9A paralog, Rad9B, is also capable of affecting Claspin localization. Together, these data suggest that Rad9 plays a role in locating Claspin to sites of DNA damage, facilitating its role during the Chk1-mediated checkpoint response. Since disruption of both Rad9A and Claspin has been shown to abolish Chk1 activation, we postulate that Rad9A-mediated Claspin localization is a vital step during checkpoint activation.

Tri-cistronic cloning, overexpression and purification of human Rad9, Rad1, Hus1 protein complex.

The least understood components of the DNA damage checkpoint are the DNA damage sensors. Genetic studies of Schizosaccharomyces pombe identified six yeast genes, Rad3, Rad17, Rad9, Rad1, Hus1, and Rad26, which encode proteins thought to sense DNA damage and activate the checkpoint-signaling cascade. It has been suggested that Rad9, Rad1 and Hus1 make a heterotrimeric complex forming a PCNA-like structure. In order to carry out structural and biophysical studies of the complex and its associated proteins, the cDNAs encoding full length human Rad9, Rad1 and Hus1 were cloned together into the pET28a vector using a one-step ligation procedure. Here we report successful tri-cistronic cloning, overexpression and purification of this three-protein complex using a single hexa-histidine tag. The trimeric protein complex of Rad9, Rad1 and Hus1 was purified to near homogeneity, yielding approximately 10mg of protein from one liter of Escherichia coli culture.