Evidence map›Paper›PMID 38541033›Full record

ArticleJournal of personalized medicine2024

Integrating Optical Genome Mapping and Whole Genome Sequencing in Somatic Structural Variant Detection.

Laura Budurlean, Diwakar Bastihalli Tukaramrao, Lijun Zhang, Sinisa Dovat, James Broach

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. From Pluripotency to Patients: Making Induced pluripotent stem cell (iPSC) Therapies Safer.International journal of molecular and cellular medicine · 2025
    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

5 authors at 3 institutions in 1 country.

Laura BudurleanDepartment of Biochemistry & Molecular Biology, Penn State College of Medicine, Hershey, PA 17033, USA.ORCID 0000-0003-0652-7180
Diwakar Bastihalli TukaramraoDepartment of Pediatrics, Penn State Cancer Institute, Hershey, PA 17033, USA.
Lijun ZhangDepartment of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0003-4974-2745
Sinisa DovatDepartment of Biochemistry & Molecular Biology, Penn State College of Medicine, Hershey, PA 17033, USA.
James BroachDepartment of Biochemistry & Molecular Biology, Penn State College of Medicine, Hershey, PA 17033, USA.ORCID 0000-0003-1197-0312
Pennsylvania State University · USCase Western Reserve University · USPenn State Milton S. Hershey Medical Center · US

Funding

Novel targeted therapy to reduce health disparities in pediatric leukemiaR01CA278226 · NCI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI Sinisa Dovat · 2023 to 2026
$2.1M
NCI NIH HHS R01 CA278226NIH HHS R01 CA278226
6 · The paper itself

Abstract

Structural variants drive tumorigenesis by disrupting normal gene function through insertions, inversions, translocations, and copy number changes, including deletions and duplications. Detecting structural variants is crucial for revealing their roles in tumor development, clinical outcomes, and personalized therapy. Presently, most studies rely on short-read data from next-generation sequencing that aligns back to a reference genome to determine if and, if so, where a structural variant occurs. However, structural variant discovery by short-read sequencing is challenging, primarily because of the difficulty in mapping regions of repetitive sequences. Optical genome mapping (OGM) is a recent technology used for imaging and assembling long DNA strands to detect structural variations. To capture the structural variant landscape more thoroughly in the human genome, we developed an integrated pipeline that combines Bionano OGM and Illumina whole-genome sequencing and applied it to samples from 29 pediatric B-ALL patients. The addition of OGM allowed us to identify 511 deletions, 506 insertions, 93 duplications/gains, and 145 translocations that were otherwise missed in the short-read data. Moreover, we identified several novel gene fusions, the expression of which was confirmed by RNA sequencing. Our results highlight the benefit of integrating OGM and short-read detection methods to obtain a comprehensive analysis of genetic variation that can aid in clinical diagnosis, provide new therapeutic targets, and improve personalized medicine in cancers driven by structural variation.

Indexed as

B-ALLBionanoleukemianext generation sequencingoptical genome mappingRNA sequencingstructural variationwhole genome sequencing

Identifiers

PMID38541033
PMCPMC10971281
OpenAlexW4392646566

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.