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Dense and accurate whole-chromosome haplotyping of individual genomes

Author

Listed:
  • David Porubsky

    (European Research Institute for the Biology of Ageing, University Medical Center Groningen, University of Groningen
    Max Planck Institute for Informatics)

  • Shilpa Garg

    (Center for Bioinformatics, Saarland University
    Max Planck Institute for Informatics
    Graduate School of Computer Science, Saarland University)

  • Ashley D. Sanders

    (European Molecular Biology Laboratory (EMBL), Genome Biology Unit
    Terry Fox Laboratory, BC Cancer Agency)

  • Jan O. Korbel

    (European Molecular Biology Laboratory (EMBL), Genome Biology Unit)

  • Victor Guryev

    (European Research Institute for the Biology of Ageing, University Medical Center Groningen, University of Groningen)

  • Peter M. Lansdorp

    (European Research Institute for the Biology of Ageing, University Medical Center Groningen, University of Groningen
    Terry Fox Laboratory, BC Cancer Agency
    University of British Columbia)

  • Tobias Marschall

    (Center for Bioinformatics, Saarland University
    Max Planck Institute for Informatics)

Abstract

The diploid nature of the human genome is neglected in many analyses done today, where a genome is perceived as a set of unphased variants with respect to a reference genome. This lack of haplotype-level analyses can be explained by a lack of methods that can produce dense and accurate chromosome-length haplotypes at reasonable costs. Here we introduce an integrative phasing strategy that combines global, but sparse haplotypes obtained from strand-specific single-cell sequencing (Strand-seq) with dense, yet local, haplotype information available through long-read or linked-read sequencing. We provide comprehensive guidance on the required sequencing depths and reliably assign more than 95% of alleles (NA12878) to their parental haplotypes using as few as 10 Strand-seq libraries in combination with 10-fold coverage PacBio data or, alternatively, 10X Genomics linked-read sequencing data. We conclude that the combination of Strand-seq with different technologies represents an attractive solution to chart the genetic variation of diploid genomes.

Suggested Citation

  • David Porubsky & Shilpa Garg & Ashley D. Sanders & Jan O. Korbel & Victor Guryev & Peter M. Lansdorp & Tobias Marschall, 2017. "Dense and accurate whole-chromosome haplotyping of individual genomes," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-01389-4
    DOI: 10.1038/s41467-017-01389-4
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    Cited by:

    1. Xuan Xie & Xia Sun & Yuheng Wang & Ben Lehner & Xianghua Li, 2023. "Dominance vs epistasis: the biophysical origins and plasticity of genetic interactions within and between alleles," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Sina Majidian & Mohammad Hossein Kahaei & Dick de Ridder, 2020. "Minimum error correction-based haplotype assembly: Considerations for long read data," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-12, June.

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