Evidence map›Paper›PMID 32453966›Full record

ReviewAnnual review of genomics and human genetics2020

Pangenome Graphs.

Jordan M Eizenga, Adam M Novak, Jonas A Sibbesen, Simon Heumos, Ali Ghaffaari, Glenn Hickey, Xian Chang, Josiah D Seaman, Robin Rounthwaite, Jana Ebler and 6 more

Abstract readReview
In one paragraph

Review in Annual review of genomics and human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers.

0numbers the graph read from it
0cells of the map it votes in
158citing 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

158 citing papers in PubMed.

  1. Article
  2. Article
  3. Privacy-preserving pangenome graphs.Nature communications · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Navigating the pangenome coordinate system with Shredtools.bioRxiv : the preprint server for biology · 2026
    Article
  14. Article
  15. Article
  16. Approaches to Studying Viral Pangenome Variation Graphs.Genomics, proteomics & bioinformatics · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Article

98 more citing papers are in PubMed but not listed here.

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

16 authors.

Jordan M EizengaGenomics Institute, University of California, Santa Cruz, California 95064, USA; email: erik.garrison@ucsc.edu.
Adam M NovakGenomics Institute, University of California, Santa Cruz, California 95064, USA; email: erik.garrison@ucsc.edu.
Jonas A SibbesenGenomics Institute, University of California, Santa Cruz, California 95064, USA; email: erik.garrison@ucsc.edu.
Simon HeumosQuantitative Biology Center, University of Tübingen, 72076 Tübingen, Germany.
Ali GhaffaariCenter for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Glenn HickeyGenomics Institute, University of California, Santa Cruz, California 95064, USA; email: erik.garrison@ucsc.edu.
Xian ChangGenomics Institute, University of California, Santa Cruz, California 95064, USA; email: erik.garrison@ucsc.edu.
Josiah D SeamanRoyal Botanic Gardens, Kew, Richmond TW9 3AB, United Kingdom.
Robin RounthwaiteGenomics Institute, University of California, Santa Cruz, California 95064, USA; email: erik.garrison@ucsc.edu.
Jana EblerCenter for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Mikko RautiainenCenter for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Shilpa GargDepartments of Genetics and Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02215, USA.
Benedict PatenGenomics Institute, University of California, Santa Cruz, California 95064, USA; email: erik.garrison@ucsc.edu.
Tobias MarschallCenter for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Jouni SirénGenomics Institute, University of California, Santa Cruz, California 95064, USA; email: erik.garrison@ucsc.edu.
Erik GarrisonGenomics Institute, University of California, Santa Cruz, California 95064, USA; email: erik.garrison@ucsc.edu.

Funding

GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
Training SubprojectU54HG007990 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, PATTERSON, DAVID · 2014 to 2018
$14.8M
Enabling Comparative PangenomicsR01HG010485 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, MARTIN, FERGAL JAMES · 2020 to 2023
$2.6M
Unbiased analysis of genomic correlates of gene expression in health and diseaseU01HL137183 · NHLBI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H · 2017 to 2019
$1.8M
Biotechnology and Biological Sciences Research Council BB/S004661/1NHGRI NIH HHS R01 HG010485NHGRI NIH HHS U41 HG007234NHGRI NIH HHS U54 HG007990NHLBI NIH HHS U01 HL137183
6 · The paper itself

Abstract

Low-cost whole-genome assembly has enabled the collection of haplotype-resolved pangenomes for numerous organisms. In turn, this technological change is encouraging the development of methods that can precisely address the sequence and variation described in large collections of related genomes. These approaches often use graphical models of the pangenome to support algorithms for sequence alignment, visualization, functional genomics, and association studies. The additional information provided to these methods by the pangenome allows them to achieve superior performance on a variety of bioinformatic tasks, including read alignment, variant calling, and genotyping. Pangenome graphs stand to become a ubiquitous tool in genomics. Although it is unclear whether they will replace linearreference genomes, their ability to harmoniously relate multiple sequence and coordinate systems will make them useful irrespective of which pangenomic models become most common in the future.

Indexed as

AlgorithmsComputer GraphicsGenome, HumanComputational BiologyHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAgenome graphpangenomevariation graph

Identifiers

PMID32453966
PMCPMC8006571

What OpenQuestion holds

Textmetadata
LicenceTDM
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.