Evidence map›Paper›PMID 31836783›Full record

ArticleScientific reports2019

Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms.

Kanika Arora, Minita Shah, Molly Johnson, Rashesh Sanghvi, Jennifer Shelton, Kshithija Nagulapalli, Dayna M Oschwald, Michael C Zody, Soren Germer, Vaidehi Jobanputra and 2 more

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Missense and loss-of-function variants at GWAS loci in familial Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. 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

12 authors.

Kanika AroraNew York Genome Center, New York, NY, 10013, USA.
Minita ShahNew York Genome Center, New York, NY, 10013, USA.
Molly JohnsonNew York Genome Center, New York, NY, 10013, USA.
Rashesh SanghviNew York Genome Center, New York, NY, 10013, USA.
Jennifer SheltonNew York Genome Center, New York, NY, 10013, USA.
Kshithija NagulapalliNew York Genome Center, New York, NY, 10013, USA.
Dayna M OschwaldNew York Genome Center, New York, NY, 10013, USA.
Michael C ZodyNew York Genome Center, New York, NY, 10013, USA.
Soren GermerNew York Genome Center, New York, NY, 10013, USA.
Vaidehi JobanputraNew York Genome Center, New York, NY, 10013, USA.
Jade CarterNew York Genome Center, New York, NY, 10013, USA.ORCID http://orcid.org/0000-0003-2792-1662
Nicolas RobineNew York Genome Center, New York, NY, 10013, USA. nrobine@nygenome.org.ORCID http://orcid.org/0000-0001-5698-8183

Funding

Somatic variant calling and phasing using colored de Bruijn graphs in heterogeneous tumorsR21CA220411 · NCI · NEW YORK GENOME CENTER · PI NARZISI, GIUSEPPE · 2018 to 2019
$355k
NCI NIH HHS R21 CA220411
6 · The paper itself

Abstract

To test the performance of a new sequencing platform, develop an updated somatic calling pipeline and establish a reference for future benchmarking experiments, we performed whole-genome sequencing of 3 common cancer cell lines (COLO-829, HCC-1143 and HCC-1187) along with their matched normal cell lines to great sequencing depths (up to 278x coverage) on both Illumina HiSeqX and NovaSeq sequencing instruments. Somatic calling was generally consistent between the two platforms despite minor differences at the read level. We designed and implemented a novel pipeline for the analysis of tumor-normal samples, using multiple variant callers. We show that coupled with a high-confidence filtering strategy, the use of combination of tools improves the accuracy of somatic variant calling. We also demonstrate the utility of the dataset by creating an artificial purity ladder to evaluate the somatic pipeline and benchmark methods for estimating purity and ploidy from tumor-normal pairs. The data and results of the pipeline are made accessible to the cancer genomics community.

Indexed as

Gene Expression ProfilingAlgorithmsAllelesCalibrationCell Line, TumorComputational BiologyFalse Positive ReactionsGenetic VariationGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansNeoplasmsReproducibility of ResultsSequence Analysis, DNAWhole Genome Sequencing

Identifiers

PMID31836783
PMCPMC6911065

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.