Evidence map›Paper›PMID 25428359›Full record

ArticleNucleic acids research2015

BreaKmer: detection of structural variation in targeted massively parallel sequencing data using kmers.

Ryan P Abo, Matthew Ducar, Elizabeth P Garcia, Aaron R Thorner, Vanesa Rojas-Rudilla, Ling Lin, Lynette M Sholl, William C Hahn, Matthew Meyerson, Neal I Lindeman and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
5.7field-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

94 citing papers in PubMed, 222 citations in OpenAlex.

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  14. Clinicopathologic and molecular spectrum of testicular sex cord-stromal tumors not amenable to specific histopathologic subclassification.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
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  16. Clinical and molecular validation of BAP1, MTAP, P53, and Merlin immunohistochemistry in diagnosis of pleural mesothelioma.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
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  19. Observational
  20. Molecular assessment of testicular adult granulosa cell tumor demonstrates significant differences when compared to ovarian counterparts.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
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34 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

12 authors at 4 institutions in 1 country.

Ryan P AboCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA.
Matthew DucarCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA.
Elizabeth P GarciaDepartment of Pathology, Brigham and Women's Hospital, Boston, MA 02215, USA.
Aaron R ThornerCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA.
Vanesa Rojas-RudillaDepartment of Pathology, Brigham and Women's Hospital, Boston, MA 02215, USA.
Ling LinCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA.
Lynette M ShollDepartment of Pathology, Brigham and Women's Hospital, Boston, MA 02215, USA.
William C HahnCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA Broad Institute of Harvard and MIT, Cambridge, MA 02141, USA.
Matthew MeyersonCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA Department of Pathology, Brigham and Women's Hospital, Boston, MA 02215, USA Broad Institute of Harvard and MIT, Cambridge, MA 02141, USA.
Neal I LindemanDepartment of Pathology, Brigham and Women's Hospital, Boston, MA 02215, USA.
Paul Van HummelenCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA.
Laura E MacConaillCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA Department of Pathology, Brigham and Women's Hospital, Boston, MA 02215, USA laura_macconaill@dfci.harvard.edu.
Brigham and Women's Hospital · USHarvard University · USBroad Institute · USDana-Farber Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic structural variation (SV), a common hallmark of cancer, has important predictive and therapeutic implications. However, accurately detecting SV using high-throughput sequencing data remains challenging, especially for 'targeted' resequencing efforts. This is critically important in the clinical setting where targeted resequencing is frequently being applied to rapidly assess clinically actionable mutations in tumor biopsies in a cost-effective manner. We present BreaKmer, a novel approach that uses a 'kmer' strategy to assemble misaligned sequence reads for predicting insertions, deletions, inversions, tandem duplications and translocations at base-pair resolution in targeted resequencing data. Variants are predicted by realigning an assembled consensus sequence created from sequence reads that were abnormally aligned to the reference genome. Using targeted resequencing data from tumor specimens with orthogonally validated SV, non-tumor samples and whole-genome sequencing data, BreaKmer had a 97.4% overall sensitivity for known events and predicted 17 positively validated, novel variants. Relative to four publically available algorithms, BreaKmer detected SV with increased sensitivity and limited calls in non-tumor samples, key features for variant analysis of tumor specimens in both the clinical and research settings.

Indexed as

BiopsyHumansMutationNeoplasmsNucleic AcidsSequence AnalysisNucleic Acids

Identifiers

PMID25428359
PMCPMC4330340
OpenAlexW2096143664

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.