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Vavra, K. C.

Publications and source records attributed to Vavra, K. C..

2 recordsLinked to original sources

Alignment between Duplex Sequencing and transgenic rodent mutation assay data in the assessment of in vivo NDMA-induced mutagenesis

The nitrosamine N-nitrosodimethylamine (NDMA) is a mutagen and rodent carcinogen that has been identified as a process impurity in some commercially available medicines, leading to market withdrawals and new impurity control measures. Error-corrected DNA sequencing techniques, such as Duplex Sequencing (DS), have error rates low enough to revolutionise genetic toxicology testing by directly measuring in vivo mutagenesis within days of exposure. Here, DS was performed on liver samples from an OECD-compliant, Transgenic Rodent Gene Mutation Assay (TGR) conducted under GLP standards. MutaMouse specimens were orally dosed with NDMA using either a repeat-dose 28-day regimen (0.02-4 mg/kg(bw)/day) or single bolus doses of either 5 or 10 mg/kg(bw) administered on day one. Dose-dependent increases in mutation frequency were detected by DS in liver, enabling a No-Observed Genotoxic Effect Level (NOGEL) of 0.07 mg/kg(bw)/day to be determined, supported by mechanistic analyses of trinucleotide mutation spectra. Benchmark dose (BMD) modelling determined similar BMD50 values from either DS or TGR, demonstrating concordance across the two techniques albeit with greater precision from DS due to smaller inter-animal variation. DS offers a fundamental change in mutagenicity assessments enabling more precise point-of-departure determinations with mechanistic clarity and 3Rs advantages compared to the standard TGR approach.

pharmacology and toxicology↗

Allelic imbalance reveals widespread germline-somatic regulatory differences and prioritizes risk loci in Renal Cell Carcinoma

Determining the function of non-coding regulatory variants in cancer is a key challenge transcriptional biology. We investigated genetic (germline and somatic) determinants of regulatory mechanisms in renal cell carcinoma (RCC) using H3K27ac ChIP-seq data in 10 matched tumor/normal samples and RNA-seq data from 496/66 tumor/normal samples from The Cancer Genome Atlas (TCGA). Unsupervised clustering of H3K27ac activity cleanly separated tumor from normal individuals, highlighting extensive epigenetic reprogramming during transformation. We developed a novel method to test each chromatin feature for evidence of an allele-specific quantitative trait locus (asQTL) and evaluate tumor/normal differences in allele-specificity (d-asQTLs) while modelling local structural variation and read overdispersion. At an FDR of 5%, we identified 1,356 unique asQTL chromatin peaks in normal tissues; 2,868 in tumors; and 1,054 d-asQTLs (primarily imbalanced in tumor). The d-asQTL peaks were significantly enriched for RCC genome-wide association study (GWAS) heritability (32x, P=1.8x10-3), more so than any other functional feature including all H3K27ac peaks (12x), super-enhancers (5x), and asQTL genes (4x). Intersection of asQTLs with RCC GWAS loci identified putative functional features for 6/17 known loci including tumor-specific activity at SCARB1, a cholesterol metabolism mediator, which has recently been implicated in RCC progression. We validated the asQTL variant through CRISPR interference (CRISPRi) and demonstrated a concomitant allelic effect on the overlapping enhancer and on downstream SCARB1 expression. Knockdowns of master transcription factors (TFs) involved in the hypoxia pathway altered the expression of SCARB1 in a kidney cancer cell line, consistent with a variant-TF interaction. Genome-wide, d-asQTLs were significantly enriched for tumor-specific binding of hypoxic transcription factors, implicating a more general mechanism for polygenic germline-somatic interaction.

genetics↗