Evidence map›Paper›PMID 37217946›Full record

ArticleGenome biology2023

Graph construction method impacts variation representation and analyses in a bovine super-pangenome.

Alexander S Leonard, Danang Crysnanto, Xena M Mapel, Meenu Bhati, Hubert Pausch

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Review
  2. Article
  3. The pangenome ofiScience · 2026
    Article
  4. Article
  5. Accessing crop genetic diversity via pangenomics.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Agptools: a utility suite for editing genome assemblies.Bioinformatics (Oxford, England) · 2025
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alexander S LeonardAnimal Genomics, ETH Zurich, Universitaetstrasse 2, 8092, Zurich, Switzerland. alexander.leonard@usys.ethz.ch.
Danang CrysnantoAnimal Genomics, ETH Zurich, Universitaetstrasse 2, 8092, Zurich, Switzerland.
Xena M MapelAnimal Genomics, ETH Zurich, Universitaetstrasse 2, 8092, Zurich, Switzerland.
Meenu BhatiAnimal Genomics, ETH Zurich, Universitaetstrasse 2, 8092, Zurich, Switzerland.
Hubert PauschAnimal Genomics, ETH Zurich, Universitaetstrasse 2, 8092, Zurich, Switzerland. hubert.pausch@usys.ethz.ch.ORCID 0000-0002-0501-6760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral models and algorithms have been proposed to build pangenomes from multiple input assemblies, but their impact on variant representation, and consequently downstream analyses, is largely unknown.

resultsWe create multi-species super-pangenomes using pggb, cactus, and minigraph with the Bos taurus taurus reference sequence and eleven haplotype-resolved assemblies from taurine and indicine cattle, bison, yak, and gaur. We recover 221 k nonredundant structural variations (SVs) from the pangenomes, of which 135 k (61%) are common to all three. SVs derived from assembly-based calling show high agreement with the consensus calls from the pangenomes (96%), but validate only a small proportion of variations private to each graph. Pggb and cactus, which also incorporate base-level variation, have approximately 95% exact matches with assembly-derived small variant calls, which significantly improves the edit rate when realigning assemblies compared to minigraph. We use the three pangenomes to investigate 9566 variable number tandem repeats (VNTRs), finding 63% have identical predicted repeat counts in the three graphs, while minigraph can over or underestimate the count given its approximate coordinate system. We examine a highly variable VNTR locus and show that repeat unit copy number impacts the expression of proximal genes and non-coding RNA.

conclusionsOur findings indicate good consensus between the three pangenome methods but also show their individual strengths and weaknesses that need to be considered when analysing different types of variants from multiple input assemblies.

Indexed as

CattleGenomeSequence Analysis, DNAAnimalsMinisatellite RepeatsBovinaeDomestic animalsGenome assemblyGraph pangenomeLong sequencing readsStructural variationVNTR profiling

Identifiers

PMID37217946
PMCPMC10204317

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.