Evidence map›Paper›PMID 35444207›Full record

ArticleScientific reports2022

Multiplex structural variant detection by whole-genome mapping and nanopore sequencing.

Lahari Uppuluri, Yilin Wang, Eleanor Young, Jessica S Wong, Heba Z Abid, Ming Xiao

Abstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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  5. Article
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

6 authors.

Lahari UppuluriSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA.
Yilin WangSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA.
Eleanor YoungSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA.
Jessica S WongSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA.
Heba Z AbidSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA.
Ming XiaoSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA. ming.xiao@drexel.edu.

Funding

Single molecule DNA mapping for genome and CNV analysisR01HG005946 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KWOK, PUI-YAN, XIAO, MING · 2010 to 2021
$6.5M
NHGRI NIH HHS R01 HG005946NIH HHS R01HG005946
6 · The paper itself

Abstract

Identification of structural variants (SVs) breakpoints is important in studying mutations, mutagenic causes, and functional impacts. Next-generation sequencing and whole-genome optical mapping are extensively used in SV discovery and characterization. However, multiple platforms and computational approaches are needed for comprehensive analysis, making it resource-intensive and expensive. Here, we propose a strategy combining optical mapping and cas9-assisted targeted nanopore sequencing to analyze SVs. Optical mapping can economically and quickly detect SVs across a whole genome but does not provide sequence-level information or precisely resolve breakpoints. Furthermore, since only a subset of all SVs is known to affect biology, we attempted to type a subset of all SVs using targeted nanopore sequencing. Using our approach, we resolved the breakpoints of five deletions, five insertions, and an inversion, in a single experiment.

Indexed as

Nanopore SequencingChromosome MappingGenomeGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNA

Identifiers

PMID35444207
PMCPMC9021263

What OpenQuestion holds

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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.