Evidence map›Paper›PMID 38190646›Full record

ArticleGenome research2023

Whole-genome long-read sequencing downsampling and its effect on variant-calling precision and recall.

William T Harvey, Peter Ebert, Jana Ebler, Peter A Audano, Katherine M Munson, Kendra Hoekzema, David Porubsky, Christine R Beck, Tobias Marschall, Kiran Garimella and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed, 31 citations in OpenAlex.

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  15. Population-scale Long-read Sequencing in themedRxiv : the preprint server for health sciences · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

William T HarveyDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195-5065, USA.ORCID http://orcid.org/0000-0003-0646-7528
Peter EbertInstitute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, 40225 Düsseldorf, Germany.ORCID http://orcid.org/0000-0001-7441-532X
Jana EblerInstitute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, 40225 Düsseldorf, Germany.ORCID http://orcid.org/0000-0002-0382-3702
Peter A AudanoThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA.ORCID http://orcid.org/0000-0002-5187-0415
Katherine M MunsonDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195-5065, USA.ORCID http://orcid.org/0000-0001-8413-6498
Kendra HoekzemaDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195-5065, USA.ORCID http://orcid.org/0000-0002-8058-0177
David PorubskyDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195-5065, USA.ORCID http://orcid.org/0000-0001-8414-8966
Christine R BeckThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA.ORCID http://orcid.org/0000-0001-7821-8489
Tobias MarschallInstitute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, 40225 Düsseldorf, Germany.ORCID http://orcid.org/0000-0002-9376-1030
Kiran GarimellaData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.ORCID http://orcid.org/0000-0002-6212-5736
Evan E EichlerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195-5065, USA; eee@gs.washington.edu.ORCID http://orcid.org/0000-0002-8246-4014
University of Washington · USHeinrich Heine University Düsseldorf · DEJackson Laboratory · USBroad Institute · USHoward Hughes Medical Institute · US

Funding

Northwest Genomics Center for All of UsOT2OD002748 · OD · UNIVERSITY OF WASHINGTON · PI EICHLER, EVAN, JARVIK, GAIL PAIRITZ · 2018 to 2023
$65.4M
ELSI Administrative Supplement - Center for Human Reference Genome DiversityU01HG010971 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI EICHLER, EVAN, JARVIS, ERICH D · 2019 to 2023
$18.4M
Identifying and Characterizing the Full Spectrum of Haplotype-resolved Structural Variation in Human GenomesU24HG007497 · NHGRI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI Evan Eichler, Jan Oliver Korbel · 2019 to 2026
$17.2M
Sequence-resolved structural variation of human genomesR01HG010169 · NHGRI · UNIVERSITY OF WASHINGTON · PI Evan Eichler · 2018 to 2026
$4.5M
Repetitive sequences drive genome variation and plasticityR35GM133600 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI Christine R Beck · 2019 to 2026
$3.0M
NHGRI NIH HHS R01 HG010169NHGRI NIH HHS U01 HG010971NHGRI NIH HHS U24 HG007497NIGMS NIH HHS R35 GM133600NIH HHS OT2 OD002748
6 · The paper itself

Abstract

Advances in long-read sequencing (LRS) technologies continue to make whole-genome sequencing more complete, affordable, and accurate. LRS provides significant advantages over short-read sequencing approaches, including phased de novo genome assembly, access to previously excluded genomic regions, and discovery of more complex structural variants (SVs) associated with disease. Limitations remain with respect to cost, scalability, and platform-dependent read accuracy and the tradeoffs between sequence coverage and sensitivity of variant discovery are important experimental considerations for the application of LRS. We compare the genetic variant-calling precision and recall of Oxford Nanopore Technologies (ONT) and Pacific Biosciences (PacBio) HiFi platforms over a range of sequence coverages. For read-based applications, LRS sensitivity begins to plateau around 12-fold coverage with a majority of variants called with reasonable accuracy (F

Indexed as

GenomicsNanoporesINDEL MutationWhole Genome Sequencing

Identifiers

PMID38190646
PMCPMC10760522
OpenAlexW4389430740

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.