The hidden burden of structural variants in neurodegenerative and neuromuscular disorders

Neurodegenerative and neuromuscular disorders are genetically heterogeneous, and many patients remain without a genetic diagnosis after multiple rounds of clinical gene panels or exome sequencing. These approaches often fail to detect structural variants (SVs), contributing to missed diagnoses. We investigated 286 individuals with neurodegenerative or neuromuscular diseases who previously received an uninformative report from diagnostic testing. Short-read genome sequencing (srGS) was used for single nucleotide variant/indel, copy number variant, and SV calling with variant prioritisation in seqr . Findings were corroborated by long-read sequencing, orthogonal validation (PCR/MLPA/Sanger), transcriptomics, and proteomics. We also assessed the utility of Talos (an automated variant prioritisation tool) to find clinically relevant SVs. Overall, 65/286 cases (22.7%) were solved; SVs accounted for 11/65 solved cases (16.9%); four of these would not be detectable with targeted panel or exome sequencing. We describe 10 illustrative diagnoses spanning diverse SV classes: an intronic interspersed duplication disrupting SPAST (SPG4); SVs supporting phenotype expansions associated with SPG11 (neuronal ceroid lipofuscinosis), heterozygous large in-frame deletions in TTN (distal arthrogryposis), and SPTAN1 (autosomal-dominant hereditary spastic paraplegia) ; an intergenic balanced translocation downstream of FOXG1; and a pathogenic SVA insertion in TAF1 detected as breakends in srGS. Talos prioritised seven of these 10 SV diagnoses. Here, we show SVs contribute substantially to diagnoses in neurogenetic disease cohorts and can evade panel/exome pipelines due to intronic breakpoints, balanced rearrangements, microhomology, and partial-exon events. srGS combined with automated reanalysis can shorten diagnostic timelines and improve diagnostic equity through a single, genome-wide test, although the clinical interpretation of SVs remains a significant challenge.

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Publication Details

Journal
Scientific Reports
Published
2026-09-11
DOI
https://doi.org/10.1038/s41598-026-69714-w
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

The hidden burden of structural variants in neurodegenerative and neuromuscular disorders

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Scientific Reports
Genomics and Rare Diseases
article

The hidden burden of structural variants in neurodegenerative and neuromuscular disorders

Carolin K. Scriba, Rebecca Gooding, Carolyn Orr, Twinkle Ghia, Shelby Mullin, Richard Warne, Christina Vo, David R. Thorburn, Catriona McLean, Gianina Ravenscroft, M. J. Welland, Michael Farrell, Nikki Gelfand, Tanavi Sharma, Wai Yan Yau, Richard Roxburgh, H. Fraser, Phillipa J. Lamont, Jessica Baker, David A. Stroud, Michael Fahey, Tegan Stait, Anita Cairns, Chiara Folland, Gavin Monahan, Joseph Donnelly, Elyshia McNamara, Samantha Bryen, Daniella H. Hock, Mark Davis, Jevin Parmar, Jasmine Chew, Lein Dofash, Miriam Rodrigues, Catherine Kiraly-Borri, Audrey V. Rick
article en

Abstract

Neurodegenerative and neuromuscular disorders are genetically heterogeneous, and many patients remain without a genetic diagnosis after multiple rounds of clinical gene panels or exome sequencing. These approaches often fail to detect structural variants (SVs), contributing to missed diagnoses. We investigated 286 individuals with neurodegenerative or neuromuscular diseases who previously received an uninformative report from diagnostic testing. Short-read genome sequencing (srGS) was used for single nucleotide variant/indel, copy number variant, and SV calling with variant prioritisation in seqr . Findings were corroborated by long-read sequencing, orthogonal validation (PCR/MLPA/Sanger), transcriptomics, and proteomics. We also assessed the utility of Talos (an automated variant prioritisation tool) to find clinically relevant SVs. Overall, 65/286 cases (22.7%) were solved; SVs accounted for 11/65 solved cases (16.9%); four of these would not be detectable with targeted panel or exome sequencing. We describe 10 illustrative diagnoses spanning diverse SV classes: an intronic interspersed duplication disrupting SPAST (SPG4); SVs supporting phenotype expansions associated with SPG11 (neuronal ceroid lipofuscinosis), heterozygous large in-frame deletions in TTN (distal arthrogryposis), and SPTAN1 (autosomal-dominant hereditary spastic paraplegia) ; an intergenic balanced translocation downstream of FOXG1; and a pathogenic SVA insertion in TAF1 detected as breakends in srGS. Talos prioritised seven of these 10 SV diagnoses. Here, we show SVs contribute substantially to diagnoses in neurogenetic disease cohorts and can evade panel/exome pipelines due to intronic breakpoints, balanced rearrangements, microhomology, and partial-exon events. srGS combined with automated reanalysis can shorten diagnostic timelines and improve diagnostic equity through a single, genome-wide test, although the clinical interpretation of SVs remains a significant challenge.

Scientific Reports
Royal Children's Hospital (AU), Garvan Institute of Medical Research (AU), Royal College of Surgeons in Ireland (IE), University of Auckland (NZ), The University of Melbourne (AU), Royal Perth Hospital (AU), Harry Perkins Institute of Medical Research (AU), Princess Margaret Hospital for Children (AU), King Edward Memorial Hospital (AU), Beaumont Hospital (IE), The Alfred Hospital (AU), UNSW Sydney (AU), Kai Research (United States) (US), Victorian Clinical Genetics Services (AU), Perron Institute for Neurological and Translational Science (AU), Murdoch Children's Research Institute (AU), Pathwest Laboratory Medicine (AU), Children's Health Queensland Hospital and Health Service (AU), Perth Children's Hospital, Monash University (AU)
National Health and Medical Research Council, Medical Research Future Fund
Partnerships for the goals
Openalex Percentile: Top 11%
Genomics and Rare Diseases
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