Evidence map›Paper›PMID 31711268›Full record

ArticleAnnals of human genetics2020

Improved assembly and variant detection of a haploid human genome using single-molecule, high-fidelity long reads.

Mitchell R Vollger, Glennis A Logsdon, Peter A Audano, Arvis Sulovari, David Porubsky, Paul Peluso, Aaron M Wenger, Gregory T Concepcion, Zev N Kronenberg, Katherine M Munson and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Annals of human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 2% of its field
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

84 citing papers in PubMed, 1 synthesis or guideline pooled it, 144 citations in OpenAlex.

  1. Pooled it
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  7. IMGTNAR genomics and bioinformatics · 2025
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24 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

17 authors at 7 institutions in 4 countries.

Mitchell R VollgerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.ORCID 0000-0002-8651-1615
Glennis A LogsdonDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.ORCID 0000-0003-2396-0656
Peter A AudanoDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.ORCID 0000-0002-5187-0415
Arvis SulovariDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.
David PorubskyDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.
Paul PelusoPacific Biosciences of California, Menlo Park, California.
Aaron M WengerPacific Biosciences of California, Menlo Park, California.
Gregory T ConcepcionPacific Biosciences of California, Menlo Park, California.
Zev N KronenbergPacific Biosciences of California, Menlo Park, California.
Katherine M MunsonDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.ORCID 0000-0001-8413-6498
Carl BakerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.
Ashley D SandersEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
Diana C J SpieringsEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Peter M LansdorpEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Urvashi SurtiDepartment of Pathology, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Michael W HunkapillerPacific Biosciences of California, Menlo Park, California.
Evan E EichlerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.ORCID 0000-0002-8246-4014
University of Washington · USPacific Biosciences (United States) · USBC Cancer Agency · CAEuropean Molecular Biology Laboratory · DEHoward Hughes Medical Institute · USUniversity Medical Center Groningen · NLUniversity of Pittsburgh Medical Center · US

Funding

INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
Sequence and Assembly of Segmental DuplicationsR01HG002385 · NHGRI · UNIVERSITY OF WASHINGTON · PI Evan Eichler · 2001 to 2026
$13.3M
Sequence-resolved structural variation of human genomesR01HG010169 · NHGRI · UNIVERSITY OF WASHINGTON · PI Evan Eichler · 2018 to 2026
$4.5M
University of Washington PhD Training in Big Data for Genomics and NeuroscienceT32LM012419 · NLM · UNIVERSITY OF WASHINGTON · PI DANIEL, THOMAS L., FAIRHALL, ADRIENNE L · 2016 to 2019
$1.1M
Centromere Sequence, Variation, and FunctionF32GM134558 · NIGMS · UNIVERSITY OF WASHINGTON · PI LOGSDON, GLENNIS AMELIA · 2019 to 2021
$195k
European Research CouncilHoward Hughes Medical InstituteNHGRI NIH HHS 5T32HG000035-23NHGRI NIH HHS R01 HG002385NHGRI NIH HHS R01 HG010169NHGRI NIH HHS T32 HG000035NIGMS NIH HHS 1F32GM134558-01NIGMS NIH HHS F32 GM134558NLM NIH HHS T32 LM012419
6 · The paper itself

Abstract

The sequence and assembly of human genomes using long-read sequencing technologies has revolutionized our understanding of structural variation and genome organization. We compared the accuracy, continuity, and gene annotation of genome assemblies generated from either high-fidelity (HiFi) or continuous long-read (CLR) datasets from the same complete hydatidiform mole human genome. We find that the HiFi sequence data assemble an additional 10% of duplicated regions and more accurately represent the structure of tandem repeats, as validated with orthogonal analyses. As a result, an additional 5 Mbp of pericentromeric sequences are recovered in the HiFi assembly, resulting in a 2.5-fold increase in the NG50 within 1 Mbp of the centromere (HiFi 480.6 kbp, CLR 191.5 kbp). Additionally, the HiFi genome assembly was generated in significantly less time with fewer computational resources than the CLR assembly. Although the HiFi assembly has significantly improved continuity and accuracy in many complex regions of the genome, it still falls short of the assembly of centromeric DNA and the largest regions of segmental duplication using existing assemblers. Despite these shortcomings, our results suggest that HiFi may be the most effective standalone technology for de novo assembly of human genomes.

Indexed as

Genetic VariationGenome, HumanHaploidyBiomarkersFemaleHigh-Throughput Nucleotide SequencingHumansHydatidiform MoleMolecular Sequence AnnotationPregnancySequence Analysis, DNASingle-Cell AnalysisBiomarkersgenome assemblylong-read sequencingsegmental duplicationsstructural variationtandem repeats

Identifiers

PMID31711268
PMCPMC7015760
OpenAlexW2985175171

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.