Biology subjects

Nykamp, K.

Publications and source records attributed to Nykamp, K..

3 recordsLinked to original sources

bioRxiv2026

Resolution of the D4Z4 repeat responsible for facioscapulohumeral muscular dystrophy with HiFi sequencing

The D4Z4 macrosatellite repeat encompasses some of the most difficult-to-resolve disease-related variations in the human genome. D4Z4 has a repeat unit of 3.3 kb (encoding the DUX4 gene) that is present in up to 100 copies on two chromosomes (4 and 10), while DUX4 can only be expressed in somatic cells from the permissive A haplotype that usually occurs on chromosome 4. Facioscapulohumeral muscular dystrophy (FSHD) is caused by chromatin relaxation and ectopic expression of DUX4 in skeletal muscle, mediated by contraction of D4Z4 to 1-10 copies (FSHD1, 95% of FSHD cases) or mutations in chromatin factor genes such as SMCHD1 (FSHD2, 5% of FSHD cases). Due to its large size, disease specific haplotypes and sequence homology between chromosomes, D4Z4 is challenging to resolve by current sequencing technologies. We report a computational tool, Kivvi, to genotype D4Z4 using PacBio whole-genome long-read sequence data. Kivvi detects all D4Z4 alleles in a sample, reporting the repeat size, chromosome (4 vs. 10), distal haplotype (A vs. non-permissive haplotypes) and the methylation level of each allele. We validated Kivvi against gold standard assays for FSHD diagnostics, detecting 100% of contracted alleles and correctly classifying 90% of noncontracted alleles. We showed differential methylation signals between FSHD1 and candidate FSHD2 samples. We profiled D4Z4 across 601 individuals from five ancestral populations, revealing extensive genetic diversity. We identified common haplotypes of D4Z4 alleles and characterized hybrid repeat units, hybrid repeat arrays, and translocation alleles. Combined with HiFi long reads, Kivvi enables the consolidation of multiple FSHD assays into a single workflow and facilitates the discovery of novel genetic modifiers of FSHD through population-scale studies.

genetics↗

bioRxiv2022

FH variant pathogenicity promotes purine salvage pathway dependence in kidney cancer

The tricarboxylic citric acid cycle enzyme fumarate hydratase (FH) is a tumor suppressor. When lost in cells, its substrate fumarate accumulates to mM levels and drives oncogenic signaling and transformation. Germline alterations lead to an autosomal dominant condition known as hereditary leiomyomatosis and renal cell cancer (HLRCC) where patients are predisposed to various benign tumors and an aggressive form of kidney cancer. FH alterations of unclear significance are frequently observed with germline testing; thus, there is an unmet need to classify FH variants by their cancer-associated risk, allowing for screening, early diagnosis and treatment. Here we quantify catalytic efficiency of 74 FH variants of uncertain significance. Over half were enzymatically inactive which is strong evidence of pathogenicity. We generated a panel of HLRCC cell lines expressing FH variants with a range of catalytic activities, then correlated fumarate levels with metabolic features. We found that fumarate accumulation blocks purine biosynthesis, rendering FH-deficient cells reliant on purine salvage to maintain purine nucleotide pools. Genetic or pharmacologic inhibition of the purine salvage pathway reduced HLRCC tumor growth in vivo. Together, these findings suggest pathogenicity of many patient-associated FH variants and reveal purine salvage as a targetable vulnerability in FH-deficient tumors. Statement of SignificanceThis study functionally characterizes patient-associated FH variants with unknown significance for pathogenicity. This study also reveals nucleotide salvage pathways as a targetable feature of FH-deficient cancers, which are shown to be sensitive to the purine salvage pathway inhibitor 6-mercaptopurine. This presents a new rapidly translatable treatment strategy for FH-deficient cancers.

cancer biology↗

bioRxiv2022

An algorithm to detect abnormal mRNA splicing and assess its clinical impact in individuals undergoing genetic testing for hereditary cancer syndromes

Nearly 14% of disease-causing germline variants result from disruption of mRNA splicing. Most (67%) DNA variants predicted in silico to disrupt splicing end up classified as variants of uncertain significance (VUS). We developed and validated an analytic workflow -- Splice Effect Event Resolver (SPEER) -- that uses mRNA sequencing to reveal significant deviations in splicing, pinpoints the DNA variants potentially responsible, and measures the deleterious effect of the altered splicing on mRNA transcripts, providing evidence to assess the pathogenicity of the variant. SPEER was used to analyze leukocyte RNA encoding 63 hereditary cancer syndrome genes in 20,317 individuals undergoing clinical genetic testing. Among 3,563 (17.5%) individuals with at least one DNA variant predicted to affect splicing, 971 (4.8%) had altered splicing with a deleterious effect on the transcript and 31 had altered splicing due to a DNA variant located outside our laboratorys reportable range. Integrating SPEER results into variant interpretation allowed reclassification of VUS to P/LP in 0.4% and to B/LB in 5.9% of the 20,317 patients. SPEER evidence had a significantly higher impact on allowing P/LP and B/LB interpretations in non-White individuals than in non-Hispanic White individuals, illustrating that evidence derived from RNA splicing analysis may reduce ethnic/ancestral disparities in genetic testing.

genetics↗