Evidence map›Paper›PMID 31618044›Full record

ArticleJCO clinical cancer informatics2019

Open-Sourced CIViC Annotation Pipeline to Identify and Annotate Clinically Relevant Variants Using Single-Molecule Molecular Inversion Probes.

Erica K Barnell, Adam Waalkes, Matt C Mosior, Kelsi Penewit, Kelsy C Cotto, Arpad M Danos, Lana M Sheta, Katie M Campbell, Kilannin Krysiak, Damian Rieke and 9 more

Open access · greenAbstract read
In one paragraph

Article in JCO clinical cancer informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

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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

19 authors at 6 institutions in 2 countries.

Erica K BarnellWashington University School of Medicine, St Louis, MO.
Adam WaalkesUniversity of Washington, Seattle, WA.
Matt C MosiorWashington University School of Medicine, St Louis, MO.
Kelsi PenewitUniversity of Washington, Seattle, WA.
Kelsy C CottoWashington University School of Medicine, St Louis, MO.
Arpad M DanosWashington University School of Medicine, St Louis, MO.
Lana M ShetaWashington University School of Medicine, St Louis, MO.
Katie M CampbellWashington University School of Medicine, St Louis, MO.
Kilannin KrysiakWashington University School of Medicine, St Louis, MO.
Damian RiekeCharité Unviersitätsmedizin Berlin, Berlin, Germany.
Nicholas C SpiesWashington University School of Medicine, St Louis, MO.
Zachary L SkidmoreWashington University School of Medicine, St Louis, MO.
Colin C PritchardUniversity of Washington, Seattle, WA.
Todd A FehnigerWashington University School of Medicine, St Louis, MO.
Ravindra UppaluriBrigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA.
Ramaswamy GovindanWashington University School of Medicine, St Louis, MO.
Malachi GriffithWashington University School of Medicine, St Louis, MO.
Stephen J SalipanteUniversity of Washington, Seattle, WA.
Obi L GriffithWashington University School of Medicine, St Louis, MO.
Compass (United States) · USAltor BioScience (United States) · USWashington University in St. Louis · USDana-Farber Brigham Cancer Center · USUniversity of California, Los Angeles · USUniversity of Washington · US

Funding

NATIONAL RESEARCH SERVICE AWARD-MEDICAL SCIENTISTT32GM007200 · NIGMS · WASHINGTON UNIVERSITY · PI YOKOYAMA, WAYNE M. · 1985 to 2024
$59.8M
Specimen Acquistition and Expression ProfilingP01CA101937 · NCI · WASHINGTON UNIVERSITY · PI LINK, DANIEL C · 2003 to 2023
$58.8M
Standardized and Genome-Wide Clinical Interpretation of Complex Genotypes for Cancer Precision MedicineU24CA237719 · NCI · WASHINGTON UNIVERSITY · PI GRIFFITH, OBI L. · 2019 to 2023
$3.8M
Genomic and Functional Identification of Chemotherapy Resistance Mechanisms in Small Cell Lung CancerU01CA231844 · NCI · WASHINGTON UNIVERSITY · PI GOVINDAN, RAMASWAMY, GRIFFITH, OBI L. · 2018 to 2022
$3.1M
GENOMIC INSIGHTS AND THERAPEUTIC TARGETING OF ORAL CANCER TUMOR INITIATING CELLSR01DE024403 · NIDCR · WASHINGTON UNIVERSITY · PI UPPALURI, RAVINDRA · 2014 to 2018
$1.9M
Advanced development and validation of genome-scale molecular diagnostics for microsatelliteinstability using targeted molecular counting methodsR33CA222344 · NCI · UNIVERSITY OF WASHINGTON · PI SALIPANTE, STEPHEN J · 2018 to 2020
$1.1M
DEVELOPMENT OF INFORMATICS RESOURCES FOR INTERPRETATION OF CLINICALLY ACTIONABLE VARIANTS IN CANCERU01CA209936 · NCI · WASHINGTON UNIVERSITY · PI GRIFFITH, OBI L. · 2016 to 2018
$1.0M
Integrated Analysis & Interpretation of Whole Genome Exome & Transcriptome SequenR00HG007940 · NHGRI · WASHINGTON UNIVERSITY · PI GRIFFITH, MALACHI · 2017 to 2019
$724k
NCI NIH HHS P01 CA101937NCI NIH HHS R33 CA222344NCI NIH HHS U01 CA209936NCI NIH HHS U01 CA231844NCI NIH HHS U24 CA237719NHGRI NIH HHS R00 HG007940NIDCR NIH HHS R01 DE024403NIGMS NIH HHS T32 GM007200
6 · The paper itself

Abstract

purposeClinical targeted sequencing panels are important for identifying actionable variants for patients with cancer; however, existing approaches do not provide transparent and rationally designed clinical panels to accommodate the rapidly growing knowledge within oncology. MATERIALS AND

methodsWe used the Clinical Interpretations of Variants in Cancer (CIViC) database to develop an Open-Sourced CIViC Annotation Pipeline (OpenCAP). OpenCAP provides methods to identify variants within the CIViC database, build probes for variant capture, use probes on prospective samples, and link somatic variants to CIViC clinical relevance statements. OpenCAP was tested using a single-molecule molecular inversion probe (smMIP) capture design on 27 cancer samples from 5 tumor types. In total, 2,027 smMIPs were designed to target 111 eligible CIViC variants (61.5 kb of genomic space).

resultsWhen compared with orthogonal sequencing, CIViC smMIP sequencing demonstrated a 95% sensitivity for variant detection (n = 61 of 64 variants). Variant allele frequencies for variants identified on both sequencing platforms were highly concordant (Pearson's

conclusionThe OpenCAP design paradigm demonstrates the utility of an open-source and open-access database built on attendant community contributions with peer-reviewed interpretations. Use of a public repository for variant identification, probe development, and variant interpretation provides a transparent approach to build dynamic next-generation sequencing-based oncology panels.

Indexed as

Biomarkers, TumorComputational BiologyDatabases, GeneticDNA Mutational AnalysisDNA ProbesGenetic VariationHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationMolecular Targeted TherapyNeoplasmsROC CurveSoftware DesignBiomarkers, TumorDNA Probes

Identifiers

PMID31618044
PMCPMC6873961
OpenAlexW2980495554

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.