Evidence map›Paper›PMID 39421454›Full record

ArticleGenetics in medicine open2024

3-hour genome sequencing and targeted analysis to rapidly assess genetic risk.

Miranda Pg Zalusky, Jonas A Gustafson, Stephanie C Bohaczuk, Ben Mallory, Paxton Reed, Tara Wenger, Erika Beckman, Irene J Chang, Cate R Paschal, Jillian G Buchan and 9 more

Abstract read
In one paragraph

Article in Genetics in medicine open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  15. Accelerated nanopore basecalling with SLOW5 data format.Bioinformatics (Oxford, England) · 2023
    Article
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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

19 authors.

Miranda Pg ZaluskyDivision of Genetic Medicine, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, WA, USA.
Jonas A GustafsonDivision of Genetic Medicine, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, WA, USA.
Stephanie C BohaczukDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA.
Ben MalloryDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA.
Paxton ReedDivision of Genetic Medicine, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, WA, USA.
Tara WengerDivision of Genetic Medicine, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, WA, USA.
Erika BeckmanDivision of Genetic Medicine, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, WA, USA.
Irene J ChangDivision of Genetic Medicine, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, WA, USA.
Cate R PaschalDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
Jillian G BuchanDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
Christina M LockwoodDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Mihai Puia-DumitrescuDivision of Neonatology, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, WA, USA.
Daniel R GaraldeOxford Nanopore Technologies, Oxford, UK.
Joseph GuilloryOxford Nanopore Technologies, Oxford, UK.
Androo J MarkhamOxford Nanopore Technologies, Oxford, UK.
Michael J BamshadDivision of Genetic Medicine, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, WA, USA.
Evan E EichlerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Andrew B StergachisDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA.
Danny E MillerDivision of Genetic Medicine, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, WA, USA.ORCID 0000-0001-6096-8601

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
Sporadic Mutations and Autism Spectrum DisordersR01MH101221 · NIMH · UNIVERSITY OF WASHINGTON · PI EICHLER, EVAN · 2013 to 2025
$9.2M
Medical Genetics Training GrantT32GM007454 · NIGMS · UNIVERSITY OF WASHINGTON · PI Gail Pairitz Jarvik, Andrew Ben Stergachis · 1985 to 2026
$6.9M
Investigating the contribution of non-coding genetic variation to rare disordersDP5OD029630 · OD · UNIVERSITY OF WASHINGTON · PI STERGACHIS, ANDREW BEN · 2020 to 2024
$1.9M
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 HG011744NIGMS NIH HHS T32 GM007454NIH HHS DP5 OD029630NIH HHS DP5 OD033357NIMH NIH HHS R01 MH101221
6 · The paper itself

Abstract

Purpose: Rapid genetic testing in the critical care setting may guide diagnostic evaluation, direct therapies, and help families and care providers make informed decisions about goals of care. We tested whether a simplified DNA extraction and library preparation process would enable us to perform ultra-rapid assessment of genetic risk for a Mendelian condition, based on information from an affected sibling, using long-read genome sequencing and targeted analysis. Methods: Following extraction of DNA from cord blood and rapid library preparation, genome sequencing was performed on an Oxford Nanopore PromethION. FASTQ files were generated from original sequencing data in near real-time and aligned to a reference genome. Variant calling and analysis were performed at timed intervals. Results: We optimized the DNA extraction and library preparation methods to create sufficient library for sequencing from 500 μL of blood. Real-time, targeted analysis was performed to determine that the newborn was neither affected nor a heterozygote for variants underlying a Mendelian condition. Phasing of the target region and prior knowledge of the affected haplotypes supported our interpretation despite a low level of coverage at 3 hours of life. Conclusion: This proof-of-concept experiment demonstrates how prior knowledge of haplotype structure or familial variants can be used to rapidly evaluate an individual at risk for a genetic disease. While ultra-rapid sequencing remains both complex and cost prohibitive, our method is more easily automated than prior approaches and uses smaller volumes of blood, thus may be more easily adopted for future studies of ultra-rapid genome sequencing in the clinical setting.

Indexed as

genetic testinggenomicslong-read sequencingNanoporeUltra-rapid sequencing

Identifiers

PMID39421454
PMCPMC11484281

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.