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The Practical Haplotype Graph, a platform for storing and using pangenomes for imputation.

P J Bradbury1, T Casstevens2, S E Jensen3

  • 1United States Department of Agriculture-Agricultural Research Service, Robert W. Holley Center, Ithaca, NY 14853, USA.

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|June 24, 2022
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Summary
This summary is machine-generated.

Managing pangenomes for diverse species is challenging. The Practical Haplotype Graph (PHG) offers a trellis graph representation for accurate genome imputation from low-density data, enabling better genomic diversity applications.

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Area of Science:

  • Genomics
  • Population Genetics
  • Bioinformatics

Background:

  • Studying single reference genomes limits insights into species-level genetic diversity.
  • Managing and utilizing pangenomes for genetically diverse species presents significant computational and practical hurdles.

Purpose of the Study:

  • To develop a computationally tractable method for representing and utilizing pangenomes.
  • To enable accurate genome imputation from low-density sequence or variant data.

Main Methods:

  • Developed a trellis graph representation anchored to a reference genome.
  • Implemented the Practical Haplotype Graph (PHG) pipeline, database, data model, and Breeding API (BrAPI) web service.
  • Utilized simulated data to test imputation accuracy at low sequence coverage.

Main Results:

  • The trellis graph effectively represents pangenomes for diverse species.
  • The PHG pipeline achieved high accuracy in haplotype reconstruction even at 0.1× coverage.
  • Demonstrated up to 1000-fold data compression for maize pangenomes.

Conclusions:

  • The PHG provides a scalable platform for understanding and applying genomic diversity.
  • Accurate genome imputation is feasible with the PHG, even with limited sequence data.
  • The PHG facilitates advancements in population genetics, genomics, and crop breeding.