Evidence map›Paper›PMID 36210382›Full record

ArticleScientific reports2022

Approaches to long-read sequencing in a clinical setting to improve diagnostic rate.

Erica Sanford Kobayashi, Serge Batalov, Aaron M Wenger, Christine Lambert, Harsharan Dhillon, Richard J Hall, Primo Baybayan, Yan Ding, Seema Rego, Kristen Wigby and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
8.8field-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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

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  12. A CGG Repeat Expansion in CSNK1E Associated with Progressive Myoclonic Epilepsy with Incomplete Penetrance.Movement disorders : official journal of the Movement Disorder Society · 2025
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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

13 authors at 2 institutions in 1 country.

Erica Sanford KobayashiRady Institute for Genomic Medicine, San Diego, CA, USA. esanford@rchsd.org.
Serge BatalovRady Institute for Genomic Medicine, San Diego, CA, USA.
Aaron M WengerPacific Biosciences, Menlo Park, CA, USA.
Christine LambertPacific Biosciences, Menlo Park, CA, USA.
Harsharan DhillonPacific Biosciences, Menlo Park, CA, USA.
Richard J HallPacific Biosciences, Menlo Park, CA, USA.
Primo BaybayanPacific Biosciences, Menlo Park, CA, USA.
Yan DingRady Institute for Genomic Medicine, San Diego, CA, USA.
Seema RegoRady Institute for Genomic Medicine, San Diego, CA, USA.
Kristen WigbyRady Institute for Genomic Medicine, San Diego, CA, USA.
Jennifer FriedmanRady Institute for Genomic Medicine, San Diego, CA, USA.
Charlotte HobbsRady Institute for Genomic Medicine, San Diego, CA, USA.
Matthew N BainbridgeRady Institute for Genomic Medicine, San Diego, CA, USA.
Pacific Biosciences (United States) · USRady Children's Hospital-San Diego · US

Funding

Scripps Translational Science InstituteUL1TR002550 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2018 to 2022
$28.9M
Oligogenic Models of CardiomyopathyR01HL145175 · NHLBI · RADY PEDIATRIC GENOMICS & SYSTEMS MEDICINE INSTITUTE · PI BAINBRIDGE, MATTHEW NEIL · 2019 to 2022
$3.0M
NHLBI NIH HHS R01 HL145175NIH HHS UL1 TR002550
6 · The paper itself

Abstract

Over the past decade, advances in genetic testing, particularly the advent of next-generation sequencing, have led to a paradigm shift in the diagnosis of molecular diseases and disorders. Despite our present collective ability to interrogate more than 90% of the human genome, portions of the genome have eluded us, resulting in stagnation of diagnostic yield with existing methodologies. Here we show how application of a new technology, long-read sequencing, has the potential to improve molecular diagnostic rates. Whole genome sequencing by long reads was able to cover 98% of next-generation sequencing dead zones, which are areas of the genome that are not interpretable by conventional industry-standard short-read sequencing. Through the ability of long-read sequencing to unambiguously call variants in these regions, we discovered an immunodeficiency due to a variant in IKBKG in a subject who had previously received a negative genome sequencing result. Additionally, we demonstrate the ability of long-read sequencing to detect small variants on par with short-read sequencing, its superior performance in identifying structural variants, and thirdly, its capacity to determine genomic methylation defects in native DNA. Though the latter technical abilities have been demonstrated, we demonstrate the clinical application of this technology to successfully identify multiple types of variants using a single test.

Indexed as

Genome, HumanHigh-Throughput Nucleotide SequencingBase SequenceGenomicsHumansI-kappa B KinaseSequence Analysis, DNAI-kappa B KinaseIKBKG protein, human

Identifiers

PMID36210382
PMCPMC9548499
OpenAlexW4303876161

What OpenQuestion holds

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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.