Detecting PKD1 variants in polycystic kidney disease patients by single-molecule long-read sequencing

Authors

  • Daniel M. Borràs,

    1. GenomeScan B.V, Leiden, The Netherlands
    2. Institut National de la Santé et de la Recherche Médicale (INSERM), Institut of Cardiovascular and Metabolic Disease, Toulouse, France
    3. Université Toulouse III Paul-Sabatier, Toulouse, France
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  • Rolf H. A. M. Vossen,

    1. Leiden Genome Technology Center (LGTC), Department of Human Genetics, Leiden University Medical Center (LUMC), Leiden, The Netherlands
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  • Michael Liem,

    1. Leiden Genome Technology Center (LGTC), Department of Human Genetics, Leiden University Medical Center (LUMC), Leiden, The Netherlands
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  • Henk P. J. Buermans,

    1. Leiden Genome Technology Center (LGTC), Department of Human Genetics, Leiden University Medical Center (LUMC), Leiden, The Netherlands
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  • Hans Dauwerse,

    1. Department of Human Genetics, Leiden University Medical Center (LUMC), Leiden, The Netherlands
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  • Dave van Heusden,

    1. Department of Human Genetics, Leiden University Medical Center (LUMC), Leiden, The Netherlands
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  • Ron T. Gansevoort,

    1. Department of Nephrology, University Hospital Groningen, University Medical Center Groningen, Groningen, The Netherlands
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    • On behalf of the DIPAK consortium.

  • Johan T. den Dunnen,

    1. Leiden Genome Technology Center (LGTC), Department of Human Genetics, Leiden University Medical Center (LUMC), Leiden, The Netherlands
    2. Department of Human Genetics, Leiden University Medical Center (LUMC), Leiden, The Netherlands
    3. Department of Clinical Genetics, Leiden University Medical Center (LUMC), Leiden, The Netherlands
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  • Bart Janssen,

    1. GenomeScan B.V, Leiden, The Netherlands
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  • Dorien J. M. Peters,

    1. Department of Human Genetics, Leiden University Medical Center (LUMC), Leiden, The Netherlands
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    • On behalf of the DIPAK consortium.

  • Monique Losekoot,

    1. Department of Clinical Genetics, Leiden University Medical Center (LUMC), Leiden, The Netherlands
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    • On behalf of the DIPAK consortium.

  • Seyed Yahya Anvar

    Corresponding author
    1. Leiden Genome Technology Center (LGTC), Department of Human Genetics, Leiden University Medical Center (LUMC), Leiden, The Netherlands
    2. Department of Human Genetics, Leiden University Medical Center (LUMC), Leiden, The Netherlands
    • Correspondence

      Seyed Yahya Anvar, Department of Human Genetics, Leiden University Medical Center, Postzone: S-04-P, Postbus 9600, 2300 RC Leiden, the Netherlands.

      Email: s.y.anvar@lumc.nl

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  • Contract grant sponsor: European Union's Seventh Framework Programme FP7/2007-2013 (FP7-PEOPLE-2013-ITN-608332).

  • Communicated by Graham R. Taylor

Abstract

A genetic diagnosis of autosomal-dominant polycystic kidney disease (ADPKD) is challenging due to allelic heterogeneity, high GC content, and homology of the PKD1 gene with six pseudogenes. Short-read next-generation sequencing approaches, such as whole-genome sequencing and whole-exome sequencing, often fail at reliably characterizing complex regions such as PKD1. However, long-read single-molecule sequencing has been shown to be an alternative strategy that could overcome PKD1 complexities and discriminate between homologous regions of PKD1 and its pseudogenes. In this study, we present the increased power of resolution for complex regions using long-read sequencing to characterize a cohort of 19 patients with ADPKD. Our approach provided high sensitivity in identifying PKD1 pathogenic variants, diagnosing 94.7% of the patients. We show that reliable screening of ADPKD patients in a single test without interference of PKD1 homologous sequences, commonly introduced by residual amplification of PKD1 pseudogenes, by direct long-read sequencing is now possible. This strategy can be implemented in diagnostics and is highly suitable to sequence and resolve complex genomic regions that are of clinical relevance.

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