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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Citations
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Cited by:
- 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.
- 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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