Evidence map›Paper›PMID 27060149›Full record

ArticleNucleic acids research2016

VarDict: a novel and versatile variant caller for next-generation sequencing in cancer research.

Zhongwu Lai, Aleksandra Markovets, Miika Ahdesmaki, Brad Chapman, Oliver Hofmann, Robert McEwen, Justin Johnson, Brian Dougherty, J Carl Barrett, Jonathan R Dry

Registry-linked trialAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06680791 (Molecular Classification in Relation to Prevention of Endometrial Cancer Recurrence and Lifestyle Factors), which is not on this map. Cited by 611 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
611citing papers in PubMed, 1 pooled it
–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.

NCT06680791 recruitingnot on this mapstarted 2024, after this paper: background citation

Molecular Classification in Relation to Prevention of Endometrial Cancer Recurrence and Lifestyle Factors

TypeobservationalSponsorLukas VanekRan2024 to 2028Enrolled280ConditionsEndometrial Cancer, Genetic Predisposition, Risk Behavior
3 · Its place in the literature

Who cites it

611 citing papers in PubMed, 1 synthesis or guideline pooled it.

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551 more citing papers are in PubMed but not listed here.

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

10 authors.

Zhongwu LaiOncology iMed, AstraZeneca, Waltham, MA 02451, USA Zhongwu.Lai@astrazeneca.com.
Aleksandra MarkovetsOncology iMed, AstraZeneca, Waltham, MA 02451, USA.
Miika AhdesmakiOncology iMed, AstraZeneca, Cambridge, CB2 0RE, UK.
Brad ChapmanBioinformatics Core, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Oliver HofmannBioinformatics Core, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Bearsden Glasgow, G61 1QH, UK.
Robert McEwenOncology iMed, AstraZeneca, Cambridge, CB2 0RE, UK.
Justin JohnsonOncology iMed, AstraZeneca, Waltham, MA 02451, USA.
Brian DoughertyOncology iMed, AstraZeneca, Waltham, MA 02451, USA.
J Carl BarrettOncology iMed, AstraZeneca, Waltham, MA 02451, USA.
Jonathan R DryOncology iMed, AstraZeneca, Waltham, MA 02451, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate variant calling in next generation sequencing (NGS) is critical to understand cancer genomes better. Here we present VarDict, a novel and versatile variant caller for both DNA- and RNA-sequencing data. VarDict simultaneously calls SNV, MNV, InDels, complex and structural variants, expanding the detected genetic driver landscape of tumors. It performs local realignments on the fly for more accurate allele frequency estimation. VarDict performance scales linearly to sequencing depth, enabling ultra-deep sequencing used to explore tumor evolution or detect tumor DNA circulating in blood. In addition, VarDict performs amplicon aware variant calling for polymerase chain reaction (PCR)-based targeted sequencing often used in diagnostic settings, and is able to detect PCR artifacts. Finally, VarDict also detects differences in somatic and loss of heterozygosity variants between paired samples. VarDict reprocessing of The Cancer Genome Atlas (TCGA) Lung Adenocarcinoma dataset called known driver mutations in KRAS, EGFR, BRAF, PIK3CA and MET in 16% more patients than previously published variant calls. We believe VarDict will greatly facilitate application of NGS in clinical cancer research.

Indexed as

High-Throughput Nucleotide SequencingSequence Analysis, DNASoftwareAllelesComputational BiologyGene FrequencyGenetic VariationHumansINDEL MutationLoss of HeterozygosityLung NeoplasmsNeoplasmsResearchROC Curve

Identifiers

PMID27060149
PMCPMC4914105

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Registered trials

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.