Evidence map›Paper›PMID 28977555›Full record

ArticleNucleic acids research2017

Chromosome-scale mega-haplotypes enable digital karyotyping of cancer aneuploidy.

John M Bell, Billy T Lau, Stephanie U Greer, Christina Wood-Bouwens, Li C Xia, Ian D Connolly, Melanie H Gephart, Hanlee P Ji

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. 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

8 authors.

John M BellStanford Genome Technology Center, Stanford University, Palo Alto, CA 94304, USA.
Billy T LauStanford Genome Technology Center, Stanford University, Palo Alto, CA 94304, USA.
Stephanie U GreerDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Christina Wood-BouwensDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Li C XiaDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Ian D ConnollyDepartment of Neurosurgery, Stanford University Hospital and Clinics, Stanford, CA 94305, USA.
Melanie H GephartDepartment of Neurosurgery, Stanford University Hospital and Clinics, Stanford, CA 94305, USA.
Hanlee P JiStanford Genome Technology Center, Stanford University, Palo Alto, CA 94304, USA.

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI HOWE, ROGER THOMAS, JI, HANLEE P · 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
Tumor DNA in CSF and novel modeling decode breast cancer - brain metastasesK08NS091527 · NINDS · STANFORD UNIVERSITY · PI HAYDEN GEPHART, MELANIE · 2016 to 2020
$928k
Cell-free tumor DNA in cerebral spinal fluid decodes tumors of the central nervous systemR21CA193046 · NCI · STANFORD UNIVERSITY · PI HAYDEN GEPHART, MELANIE, QUAKE, STEPHEN R · 2015 to 2017
$666k
NCI NIH HHS R21 CA193046NHGRI NIH HHS P01 HG000205NHGRI NIH HHS R01 HG006137NINDS NIH HHS K08 NS091527
6 · The paper itself

Abstract

Genomic instability is a frequently occurring feature of cancer that involves large-scale structural alterations. These somatic changes in chromosome structure include duplication of entire chromosome arms and aneuploidy where chromosomes are duplicated beyond normal diploid content. However, the accurate determination of aneuploidy events in cancer genomes is a challenge. Recent advances in sequencing technology allow the characterization of haplotypes that extend megabases along the human genome using high molecular weight (HMW) DNA. For this study, we employed a library preparation method in which sequence reads have barcodes linked to single HMW DNA molecules. Barcode-linked reads are used to generate extended haplotypes on the order of megabases. We developed a method that leverages haplotypes to identify chromosomal segmental alterations in cancer and uses this information to join haplotypes together, thus extending the range of phased variants. With this approach, we identified mega-haplotypes that encompass entire chromosome arms. We characterized the chromosomal arm changes and aneuploidy events in a manner that offers similar information as a traditional karyotype but with the benefit of DNA sequence resolution. We applied this approach to characterize aneuploidy and chromosomal alterations from a series of primary colorectal cancers.

Indexed as

AneuploidyHaplotypesChromosome AberrationsColorectal NeoplasmsDNA Mutational AnalysisGenome, HumanGenomic InstabilityHigh-Throughput Nucleotide SequencingHumansKaryotypeKaryotypingNeoplasmsReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID28977555
PMCPMC5737808

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.