In a new study published in Movement Disorders, targeted long-read DNA sequencing through adaptive sampling showed an expansion in the last coding exon of the ZFHX3 gene associated with spinocerebellar ataxia type 4 (SCA4), an autosomal dominant ataxia with invariable sensory neuropathy. Investigators concluded that adaptive long-read sequencing may be a helpful tool for deciphering causative structural variation in unsolved cases of inherited neurological disease.1
In this study, investigators identified a heterozygous (GGC)n repeat expansion in the last coding exon of the zinc finger homeobox 3 (ZFHX3) gene that segregates with SCA4, ranging between 48 and 57 GGC repeats in affected probands. Although linkage to this region was initially described in 1996 from a fifth-generation family in Utah with Swedish ancestry (n = 38),2 this finding was replicated in the study with a separate family with SCA4 (n = 4).
Top Clinical Takeaways
- Adaptive long-read sequencing on the Oxford Nanopore platform proves instrumental in accurately detecting elusive structural variants associated with spinocerebellar ataxia type 4 (SCA4).
- The study hints at a potential founder haplotype related to Swedish ancestry, suggesting a specific genetic landscape contributing to inherited late-onset ataxia.
- While the study advances the understanding of repeat expansion ataxias, limitations in historical DNA samples and coverage gaps highlight the need for further research to explore disease anticipation and refine diagnostic approaches.
“This approach allowed the accurate detection and sizing of a GC-rich structural variant, a region that we found to be very challenging to amplify through conventional polymerase chain reaction and may therefore underlie the reason for the molecular diagnosis having evaded detection. In addition, this enabled the diagnostic approach to be variant-agnostic; that is, no a priori restrictions were placed on the specific repeat motif or type of structural variant during detection,” lead author Zhongbo Chen, MD, PhD, clinical training fellow, department of neurodegenerative disease, Queen Square Institute of Neurology, University College London, and colleagues wrote.1 “The workflow allowed all structural variants with sequence homology and overlap between the cases to be filtered. In this case, it successfully identified the segregation of the GGC repeat directly as the only plausible pathogenic structural variant candidate. This has obvious advantages to conventional approaches that rely on searching for repeats of a specific motif.”
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Inspired by pathogenic structural variation implicated in other 16q-ataxias with connection to the same locus, the investigators revisited the index SCA4 cases from the Utah family using novel technologies to assess the structural variation in the candidate region. Thus, the researchers adopted a targeted long-read sequencing approach with adaptive sampling on the Oxford Nanopore Technologies platform to detect segregating structural variants in a genomic region without a priori assumptions about any variant features.