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Towards routine chromosome-scale haplotype-resolved reconstruction in cancer genomics

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  • Shilpa Garg

    (Technical University of Denmark
    University of Copenhagen)

Abstract

Cancer genomes are highly complex and heterogeneous. The standard short-read sequencing and analytical methods are unable to provide the complete and precise base-level structural variant landscape of cancer genomes. In this work, we apply high-resolution long accurate HiFi and long-range Hi-C sequencing to the melanoma COLO829 cancer line. Also, we develop an efficient graph-based approach that processes these data types for chromosome-scale haplotype-resolved reconstruction to characterise the cancer precise structural variant landscape. Our method produces high-quality phased scaffolds on the chromosome level on three healthy samples and the COLO829 cancer line in less than half a day even in the absence of trio information, outperforming existing state-of-the-art methods. In the COLO829 cancer cell line, here we show that our method identifies and characterises precise somatic structural variant calls in important repeat elements that were missed in short-read-based call sets. Our method also finds the precise chromosome-level structural variant (germline and somatic) landscape with 19,956 insertions, 14,846 deletions, 421 duplications, 52 inversions and 498 translocations at the base resolution. Our simple pstools approach should facilitate better personalised diagnosis and disease management, including predicting therapeutic responses.

Suggested Citation

  • Shilpa Garg, 2023. "Towards routine chromosome-scale haplotype-resolved reconstruction in cancer genomics," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36689-5
    DOI: 10.1038/s41467-023-36689-5
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    Cited by:

    1. Leanne M. Brown & Ryan A. Hagenson & Tilen Koklič & Iztok Urbančič & Lu Qiao & Janez Strancar & Jason M. Sheltzer, 2024. "An elevated rate of whole-genome duplications in cancers from Black patients," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    2. Qian Zhou & Fahu Ji & Dongxiao Lin & Xianming Liu & Zexuan Zhu & Jue Ruan, 2024. "KSNP: a fast de Bruijn graph-based haplotyping tool approaching data-in time cost," Nature Communications, Nature, vol. 15(1), pages 1-7, December.

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