A national long-read sequencing study on chromosomal rearrangements uncovers hidden complexities

  1. Anna Lindstrand1,2,14
  1. 1Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden;
  2. 2Department of Clinical Genetics and Genomics, Karolinska University Hospital, 171 76 Stockholm, Sweden;
  3. 3Science for Life Laboratory, Karolinska Institutet Science Park, 171 65 Solna, Sweden;
  4. 4Department of Immunology, Genetics and Pathology, Uppsala University, 751 85 Uppsala, Sweden;
  5. 5Science for Life Laboratory, Uppsala University, 752 37 Uppsala, Sweden;
  6. 6Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, 413 90 Gothenburg, Sweden;
  7. 7Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, 221 84 Lund, Sweden;
  8. 8Department of Clinical Genetics, Pathology and Molecular Diagnostics, Office for Medical Services, Region Skåne, 223 62 Lund, Sweden;
  9. 9Department of Laboratory Medicine, Institute for Biomedicine, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden;
  10. 10Department of Clinical Genetics, Linköping University Hospital, 581 85 Linköping, Sweden;
  11. 11Division of Cell and Neurobiology, Department of Biomedical and Clinical Sciences, Linköping University, 581 83 Linköping, Sweden;
  12. 12Department of Medical Bioscience, Medical and Clinical Genetics, Umeå University, 901 87 Umeå, Sweden;
  13. 13Department of Pharmacology and Clinical Neurosciences, Umeå University, 901 87 Umeå, Sweden
  1. 14 These authors contributed equally to this work.

  • 15 Present address: SoboLAB Analytics and Consulting, 751 23 Uppsala, Sweden.

  • Corresponding authors: anna.lindstrand{at}ki.se; lars.feuk{at}igp.uu.se
  • Abstract

    Clinical genetic laboratories often require a comprehensive analysis of chromosomal rearrangements/structural variants (SVs), from large events like translocations and inversions to supernumerary ring/marker chromosomes and small deletions or duplications. Understanding the complexity of these events and their clinical consequences requires pinpointing breakpoint junctions and resolving the derivative chromosome structure. This task often surpasses the capabilities of short-read sequencing technologies. In contrast, long-read sequencing techniques present a compelling alternative for clinical diagnostics. Here, Genomic Medicine Sweden—Rare Diseases has explored the utility of HiFi Revio long-read genome sequencing (lrGS) for digital karyotyping of SVs nationwide. The 16 samples from 13 families were collected from all Swedish healthcare regions. Prior investigations had identified 16 SVs, ranging from simple to complex rearrangements, including inversions, translocations, and copy number variants. We have established a national pipeline and a shared variant database for variant calling and filtering. Using lrGS, 14 of the 16 known SVs are detected. Of these, 13 are mapped at nucleotide resolution, and one complex rearrangement is only visible by read depth. Two Chromosome 21 rearrangements, one mosaic, remain undetected. Average read lengths are 8.3–18.8 kb with coverage exceeding 20× for all samples. De novo assembly results in a limited number of phased contigs per individual (N50 6–86 Mb), enabling direct characterization of the chromosomal rearrangements. In a national pilot study, we demonstrate the utility of HiFi Revio lrGS for analyzing chromosomal rearrangements. Based on our results, we propose a 5-year plan to expand lrGS use for rare disease diagnostics in Sweden.

    Footnotes

    • [Supplemental material is available for this article.]

    • Article published online before print. Article, supplemental material, and publication date are at https://www.genome.org/cgi/doi/10.1101/gr.279510.124.

    • Freely available online through the Genome Research Open Access option.

    • Received April 25, 2024.
    • Accepted September 25, 2024.

    This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.

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