Evidence map›Paper›PMID 39261641›Full record

ArticleNature methods2024

Personalized pangenome references.

Jouni Sirén, Parsa Eskandar, Matteo Tommaso Ungaro, Glenn Hickey, Jordan M Eizenga, Adam M Novak, Xian Chang, Pi-Chuan Chang, Mikhail Kolmogorov, Andrew Carroll and 2 more

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. GBZ-base and GAF-base: Indexed pangenome file formats.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Review
  7. Approaches to Studying Viral Pangenome Variation Graphs.Genomics, proteomics & bioinformatics · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. The complete genome of the KOLF2.1J reference iPSC line.bioRxiv : the preprint server for biology · 2026
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. A complete diploid human genome benchmark for personalized genomics.bioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jouni SirénUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA. jlsiren@ucsc.edu.ORCID http://orcid.org/0000-0001-5828-4139
Parsa EskandarUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.ORCID http://orcid.org/0000-0001-7682-3140
Matteo Tommaso UngaroUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.ORCID http://orcid.org/0000-0002-1107-3307
Glenn HickeyUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.
Jordan M EizengaUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.
Adam M NovakUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.
Xian ChangUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.ORCID http://orcid.org/0000-0002-3801-4542
Pi-Chuan ChangGoogle LLC, Mountain View, CA, USA.ORCID http://orcid.org/0000-0003-3021-6446
Mikhail KolmogorovCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Andrew CarrollGoogle LLC, Mountain View, CA, USA.ORCID http://orcid.org/0000-0002-4824-6689
Jean MonlongUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.ORCID http://orcid.org/0000-0002-9737-5516
Benedict PatenUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA. bpaten@ucsc.edu.ORCID http://orcid.org/0000-0001-8863-3539

Funding

The AnVIL Data Ecosystem DACReS SupplementU24HG010262 · NHGRI · BROAD INSTITUTE, INC. · PI Robert J Carroll, Jonathan Lawson · 2018 to 2026
$40.5M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142481 · NHLBI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI GROSSMAN, ROBERT L., PATEN, BENEDICT · 2017 to 2020
$24.9M
Dockstore: The Community Platform for Reproducible Biomedical Workflows and ApplicationsU24HG011853 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Jonathan Lawson, Benedict Paten · 2021 to 2026
$5.7M
Computational tools for uniform processing and integration of human reference atlas data [2 of 5]OT2OD033761 · OD · CARNEGIE-MELLON UNIVERSITY · PI PATEN, BENEDICT, RUFFALO, MATTHEW · 2022 to 2025
$4.2M
The construction and utility of reference pan-genome graphsU01HG010961 · NHGRI · DANA-FARBER CANCER INST · PI LI, HENG, PATEN, BENEDICT · 2020 to 2023
$3.2M
Enabling Comparative PangenomicsR01HG010485 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, MARTIN, FERGAL JAMES · 2020 to 2023
$2.6M
Tools for comprehensive variant characterization using the pangenomeU01HG013748 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI LI, HENG, MARSCHALL, TOBIAS · 2024 to 2024
$1.7M
NHGRI NIH HHS R01 HG010485NHGRI NIH HHS U01 HG010961NHGRI NIH HHS U01 HG013748NHGRI NIH HHS U24 HG010262NHGRI NIH HHS U24 HG011853NHLBI NIH HHS OT3 HL142481NIH HHS OT2 OD033761U.S. Department of Health & Human Services | National Institutes of Health (NIH) OT2OD033761U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) OT3HL142481U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) R01HG010485U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) U01HG010961U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) U24HG010262U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) U24HG011853
6 · The paper itself

Abstract

Pangenomes reduce reference bias by representing genetic diversity better than a single reference sequence. Yet when comparing a sample to a pangenome, variants in the pangenome that are not part of the sample can be misleading, for example, causing false read mappings. These irrelevant variants are generally rarer in terms of allele frequency, and have previously been dealt with by filtering rare variants. However, this blunt heuristic both fails to remove some irrelevant variants and removes many relevant variants. We propose a new approach that imputes a personalized pangenome subgraph by sampling local haplotypes according to k-mer counts in the reads. We implement the approach in the vg toolkit ( https://github.com/vgteam/vg ) for the Giraffe short-read aligner and compare its accuracy to state-of-the-art methods using human pangenome graphs from the Human Pangenome Reference Consortium. This reduces small variant genotyping errors by four times relative to the Genome Analysis Toolkit and makes short-read structural variant genotyping of known variants competitive with long-read variant discovery methods.

Indexed as

Genome, HumanSoftwareAlgorithmsGene FrequencyGenetic VariationGenomicsHaplotypesHigh-Throughput Nucleotide SequencingHumans

Identifiers

PMID39261641
PMCPMC12643174

What OpenQuestion holds

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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.