Accurate haplotype-resolved assembly reveals the origin of structural variants for human trios

  • Mengyang Xu
  • , Lidong Guo
  • , Xiao Du
  • , Lei Li
  • , Brock A. Peters
  • , Li Deng
  • , Ou Wang
  • , Fang Chen
  • , Jun Wang
  • , Zhesheng Jiang
  • , Jinglin Han
  • , Ming Ni
  • , Huanming Yang
  • , Xun Xu
  • , Xin Liu
  • , Jie Huang
  • , Guangyi Fan

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Motivation: Achieving a near complete understanding of how the genome of an individual affects the phenotypes of that individual requires deciphering the order of variations along homologous chromosomes in species with diploid genomes. However, true diploid assembly of long-range haplotypes remains challenging. Results: To address this, we have developed Haplotype-resolved Assembly for Synthetic long reads using a Trio-binning strategy, or HAST, which uses parental information to classify reads into maternal or paternal. Once sorted, these reads are used to independently de novo assemble the parent-specific haplotypes. We applied HAST to cobarcoded second-generation sequencing data from an Asian individual, resulting in a haplotype assembly covering 94.7% of the reference genome with a scaffold N50 longer than 11 Mb. The high haplotyping precision (~99.7%) and recall (~95.9%) represents a substantial improvement over the commonly used tool for assembling cobarcoded reads (Supernova), and is comparable to a trio-binning-based third generation long-read-based assembly method (TrioCanu) but with a significantly higher single-base accuracy [up to 99.99997% (Q65)]. This makes HAST a superior tool for accurate haplotyping and future haplotype-based studies.

Original languageEnglish
Pages (from-to)2095-2102
Number of pages8
JournalBioinformatics
Volume37
Issue number15
DOIs
StatePublished - 1 Aug 2021
Externally publishedYes

Fingerprint

Dive into the research topics of 'Accurate haplotype-resolved assembly reveals the origin of structural variants for human trios'. Together they form a unique fingerprint.

Cite this