Evidence map›Paper›PMID 31856913›Full record

ArticleGenome biology2019

Paragraph: a graph-based structural variant genotyper for short-read sequence data.

Sai Chen, Peter Krusche, Egor Dolzhenko, Rachel M Sherman, Roman Petrovski, Felix Schlesinger, Melanie Kirsche, David R Bentley, Michael C Schatz, Fritz J Sedlazeck and 1 more

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers.

0numbers the graph read from it
0cells of the map it votes in
147citing 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

147 citing papers in PubMed.

  1. Article
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  5. Review
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  8. Approaches to Studying Viral Pangenome Variation Graphs.Genomics, proteomics & bioinformatics · 2026
    Review
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87 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

11 authors.

Sai ChenIllumina Inc, 5200 Illumina Way, San Diego, CA, USA.
Peter KruscheIllumina Cambridge Ltd, Chesterford Research Park, Little Chesterford, UK.
Egor DolzhenkoIllumina Inc, 5200 Illumina Way, San Diego, CA, USA.
Rachel M ShermanDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Roman PetrovskiIllumina Cambridge Ltd, Chesterford Research Park, Little Chesterford, UK.
Felix SchlesingerIllumina Inc, 5200 Illumina Way, San Diego, CA, USA.
Melanie KirscheDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
David R BentleyIllumina Cambridge Ltd, Chesterford Research Park, Little Chesterford, UK.
Michael C SchatzDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Fritz J SedlazeckBaylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA.
Michael A EberleIllumina Inc, 5200 Illumina Way, San Diego, CA, USA. meberle@illumina.com.ORCID 0000-0001-8965-1253

Funding

Genomic Architecture of Common Disease in Diverse Populations: WGS of Ongoing Hemorrhagic Stroke Study SupplementUM1HG008898 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2016 to 2020
$77.0M
Computational Methods for Genome Assembly, Transcript Assembly, and Variant DiscoveryR01HG006677 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI SALZBERG, STEVEN L. · 2011 to 2025
$10.7M
NHGRI NIH HHS R01 HG006677NHGRI NIH HHS UM1 HG008898
6 · The paper itself

Abstract

Accurate detection and genotyping of structural variations (SVs) from short-read data is a long-standing area of development in genomics research and clinical sequencing pipelines. We introduce Paragraph, an accurate genotyper that models SVs using sequence graphs and SV annotations. We demonstrate the accuracy of Paragraph on whole-genome sequence data from three samples using long-read SV calls as the truth set, and then apply Paragraph at scale to a cohort of 100 short-read sequenced samples of diverse ancestry. Our analysis shows that Paragraph has better accuracy than other existing genotypers and can be applied to population-scale studies.

Indexed as

Genomic Structural VariationGenotyping TechniquesGenome, HumanHumansPopulation studiesSequence graphsStructural variationTargeted variant calling

Identifiers

PMID31856913
PMCPMC6921448

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.