Evidence map›Paper›PMID 39358801›Full record

ArticleGenome biology2024

Jointly benchmarking small and structural variant calls with vcfdist.

Tim Dunn, Justin M Zook, James M Holt, Satish Narayanasamy

Abstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Population-scale Long-read Sequencing in themedRxiv : the preprint server for health sciences · 2025
    Article
  5. A complete diploid human genome benchmark for personalized genomics.bioRxiv : the preprint server for biology · 2025
    Article
  6. Review
  7. ASVBM: Structural variant benchmarking with local joint analysis for multiple callsets.Computational and structural biotechnology journal · 2025
    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

4 authors.

Tim DunnComputer Science and Engineering, University of Michigan, Ann Arbor, Michigan, USA. timdunn@umich.edu.ORCID http://orcid.org/0000-0003-3429-4329
Justin M ZookNational Institute of Standards and Technology, Gaithersburg, Maryland, USA.
James M HoltPacBio, Menlo Park, California, USA.
Satish NarayanasamyComputer Science and Engineering, University of Michigan, Ann Arbor, Michigan, USA.

Funding

National Science Foundation 1841052National Science Foundation 2030454
6 · The paper itself

Abstract

In this work, we extend vcfdist to be the first variant call benchmarking tool to jointly evaluate phased single-nucleotide polymorphisms (SNPs), small insertions/deletions (INDELs), and structural variants (SVs) for the whole genome. First, we find that a joint evaluation of small and structural variants uniformly reduces measured errors for SNPs (- 28.9%), INDELs (- 19.3%), and SVs (- 52.4%) across three datasets. vcfdist also corrects a common flaw in phasing evaluations, reducing measured flip errors by over 50%. Lastly, we show that vcfdist is more accurate than previously published works and on par with the newest approaches while providing improved result interpretability.

Indexed as

BenchmarkingINDEL MutationPolymorphism, Single NucleotideSoftwareGenome, HumanGenomic Structural VariationHumansBenchmarkingComparisonDeletionInsertionPhasingSingle-nucleotide polymorphismStructural variationVariant calling

Identifiers

PMID39358801
PMCPMC11446017

What OpenQuestion holds

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LicenceCC BY
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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.