Evidence map›Paper›PMID 29186506›Full record

ArticleNucleic acids research2018

Identification of large rearrangements in cancer genomes with barcode linked reads.

Li C Xia, John M Bell, Christina Wood-Bouwens, Jiamin J Chen, Nancy R Zhang, Hanlee P Ji

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. The Bioinformatic Applications of Hi-C and Linked Reads.Genomics, proteomics & bioinformatics · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Identification of gene fusion events inNAR genomics and bioinformatics · 2020
    Article
  14. Article
  15. Structural variation in the sequencing era.Nature reviews. Genetics · 2020
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Next-Generation Sequencing Strategies.Cold Spring Harbor perspectives in medicine · 2019
    Review
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 at 2 institutions in 1 country.

Li C XiaDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
John M BellStanford Genome Technology Center, Stanford University, Palo Alto, CA 94304, USA.
Christina Wood-BouwensDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Jiamin J ChenDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Nancy R ZhangDepartment of Statistics, the Wharton School, University of Pennsylvania, Philadelphia, PA 18014, USA.
Hanlee P JiDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Stanford University · USUniversity of Pennsylvania · US

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
Statistical Models for Genome Sequencing and AssociationR01HG006137 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JI, HANLEE P, ZHANG, NANCY R · 2011 to 2022
$4.3M
NHGRI NIH HHS P01 HG000205NHGRI NIH HHS R01 HG006137
6 · The paper itself

Abstract

Large genomic rearrangements involve inversions, deletions and other structural changes that span Megabase segments of the human genome. This category of genetic aberration is the cause of many hereditary genetic disorders and contributes to pathogenesis of diseases like cancer. We developed a new algorithm called ZoomX for analysing barcode-linked sequence reads-these sequences can be traced to individual high molecular weight DNA molecules (>50 kb). To generate barcode linked sequence reads, we employ a library preparation technology (10X Genomics) that uses droplets to partition and barcode DNA molecules. Using linked read data from whole genome sequencing, we identify large genomic rearrangements, typically greater than 200kb, even when they are only present in low allelic fractions. Our algorithm uses a Poisson scan statistic to identify genomic rearrangement junctions, determine counts of junction-spanning molecules and calculate a Fisher's exact test for determining statistical significance for somatic aberrations. Utilizing a well-characterized human genome, we benchmarked this approach to accurately identify large rearrangement. Subsequently, we demonstrated that our algorithm identifies somatic rearrangements when present in lower allelic fractions as occurs in tumors. We characterized a set of complex cancer rearrangements with multiple classes of structural aberrations and with possible roles in oncogenesis.

Indexed as

Genomic Structural VariationAlgorithmsChromosome AberrationsGastrointestinal NeoplasmsGenome, HumanHumansNeoplasmsWhole Genome Sequencing

Identifiers

PMID29186506
PMCPMC5829571
OpenAlexW2768480287

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.