Evidence map›Paper›PMID 42465955›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Benchmarking long-read variant sensitivity across ONT and PacBio platforms using known clinically reported variants in a cohort of critically ill newborns.

Colby T Marvin, Joseph M Devaney, Kati J Buckingham, Jessica Noya, Kathryn M Shively, Caitlin Jacques, Miranda Galey, Sophie H Storz, Joy Goffena, April S Berlyoung and 22 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

32 authors.

Colby T MarvinDepartment of Pediatrics, University of Washington, Seattle, WA, 98195, USA.ORCID 0009-0004-6894-8399
Joseph M DevaneyGeneDx, Gaithersburg, MD, 20877, USA.
Kati J BuckinghamDepartment of Pediatrics, University of Washington, Seattle, WA, 98195, USA.
Jessica NoyaGeneDx, Gaithersburg, MD, 20877, USA.
Kathryn M ShivelyDepartment of Pediatrics, University of Washington, Seattle, WA, 98195, USA.
Caitlin JacquesDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
Miranda GaleyDepartment of Pediatrics, University of Washington, Seattle, WA, 98195, USA.
Sophie H StorzDepartment of Pediatrics, University of Washington, Seattle, WA, 98195, USA.
Joy GoffenaDepartment of Pediatrics, University of Washington, Seattle, WA, 98195, USA.
April S BerlyoungGeneDx, Gaithersburg, MD, 20877, USA.
Karynne E PattersonDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
Tristan ShafferDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
Christina ZakarianDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
Sean R McGeeDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
Joshua D SmithDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
Lucas LochovskyGeneDx, Gaithersburg, MD, 20877, USA.
Jonas A GustafsonDepartment of Pediatrics, University of Washington, Seattle, WA, 98195, USA.
Olivia M SommerlandDepartment of Pediatrics, University of Washington, Seattle, WA, 98195, USA.
Kailyn AndersonDepartment of Pediatrics, University of Washington, Seattle, WA, 98195, USA.
Jamie Love-NicholsSeattle Children's Hospital, Seattle, WA, 98105, USA.
Flavia M FacioGeneDx, Gaithersburg, MD, 20877, USA.
Alexander V RobertsonPacific Biosciences, Menlo Park, CA, 94025, USA.
William J RowellPacific Biosciences, Menlo Park, CA, 94025, USA.
Juniper A LakePacific Biosciences, Menlo Park, CA, 94025, USA.
Andrew CarrollGoogle, Mountain View, CA, 94043, USA.
Danny E MillerDepartment of Pediatrics, University of Washington, Seattle, WA, 98195, USA.
Chia L WeiDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
Kirsty McWalterGeneDx, Gaithersburg, MD, 20877, USA.
Tara L WengerDivision of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
University of Washington Center for Rare Disease Research, Britt Johnson
Michael J BamshadDepartment of Pediatrics, University of Washington, Seattle, WA, 98195, USA.
Jessica X ChongDepartment of Pediatrics, University of Washington, Seattle, WA, 98195, USA.

Funding

University of Washington Mendelian Genomics Research Center (UW-MGRC)U01HG011744 · NHGRI · UNIVERSITY OF WASHINGTON · PI MICHAEL Joseph BAMSHAD, Evan Eichler · 2021 to 2026
$15.8M
UW Center for Mendelian GenomicsUM1HG006493 · NHGRI · UNIVERSITY OF WASHINGTON · PI BAMSHAD, MICHAEL JOSEPH, LEAL, SUZANNE M · 2016 to 2020
$15.3M
University of Washington (UW) Mendelian Genomics Data Coordinating CenterU24HG011746 · NHGRI · UNIVERSITY OF WASHINGTON · PI Susanne May, ALI SHOJAIE · 2021 to 2026
$14.8M
Long-read DNA and RNA sequencing to identify disease-causing genetic variation and streamline testingDP5OD033357 · OD · UNIVERSITY OF WASHINGTON · PI MILLER, DANNY ERWIN · 2022 to 2025
$1.9M
NHGRI NIH HHS U01 HG011744NHGRI NIH HHS U24 HG011746NHGRI NIH HHS UM1 HG006493NIH HHS DP5 OD033357
6 · The paper itself

Abstract

Long-read whole genome sequencing (lrWGS) shows promise as an all-in-one test to detect clinically relevant variants and variants difficult to detect by current short-read whole genome sequencing (srWGS) pipelines. Comparisons between lrWGS and srWGS (or exome sequencing) pipelines will become commonplace as lrWGS is more widely adopted for clinical testing, particularly for individuals not diagnosed by srWGS. However, the sensitivity of lrWGS for detecting variants previously identified and prioritized by clinical srWGS has yet to be assessed. As part of the SeqFirst-neo study, a subset of critically ill newborns and their parents who underwent clinical srWGS also underwent lrWGS on the Oxford Nanopore Technologies (ONT) and Pacific Biosciences (PacBio) platforms. In total, 134 families were sequenced across multiple technologies including 128 families with clinical srWGS who were sequenced on both lrWGS platforms. We compared the variants reported by clinical testing with the variants identified by lrWGS. Among the 128 families sequenced on all three platforms, 89 SNV/indels and 14 SV/CNVs clinically reported by the srWGS testing pipeline were evaluated. All variants assessed in probands were ultimately detected by both lrWGS platforms, although three events were not detected prior to application of an updated variant caller, highlighting the rapid evolution of lrWGS variant calling. Additionally, breakpoint coordinates and event sizes often differed substantially between calls from srWGS and events called in lrWGS data. Our work demonstrates that while most clinically reported variants from srWGS can be detected by lrWGS pipelines, challenges remain when attempting direct comparisons, particularly for SV/CNVs.

Identifiers

PMID42465955
PMCPMC13370488

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Registered trials

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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.