Evidence map›Paper›PMID 29764369›Full record

ArticleBMC genomics2018

VAReporter: variant reporter for cancer research of massive parallel sequencing.

Po-Jung Huang, Chi-Ching Lee, Ling-Ya Chiu, Kuo-Yang Huang, Yuan-Ming Yeh, Chia-Yu Yang, Cheng-Hsun Chiu, Petrus Tang

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Po-Jung HuangDepartment of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan.
Chi-Ching LeeDepartment and Graduate Institute of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan.
Ling-Ya ChiuMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Kuo-Yang HuangGraduate Institute of Pathology and Parasitology, National Defense Medical Center, Taipei, Taiwan.
Yuan-Ming YehMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Chia-Yu YangMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Cheng-Hsun ChiuGenomic Medicine Research Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan.
Petrus TangGenomic Medicine Research Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan. petang@mail.cgu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh throughput sequencing technologies have been an increasingly critical aspect of precision medicine owing to a better identification of disease targets, which contributes to improved health care cost and clinical outcomes. In particular, disease-oriented targeted enrichment sequencing is becoming a widely-accepted application for diagnostic purposes, which can interrogate known diagnostic variants as well as identify novel biomarkers from panels of entire human coding exome or disease-associated genes.

resultsWe introduce a workflow named VAReporter to facilitate the management of variant assessment in disease-targeted sequencing, the identification of pathogenic variants, the interpretation of biological effects and the prioritization of clinically actionable targets. State-of-art algorithms that account for mutation phenotypes are used to rank the importance of mutated genes through visual analytic strategies. We established an extensive annotation source by integrating a wide variety of biomedical databases and followed the American College of Medical Genetics and Genomics (ACMG) guidelines for interpretation and reporting of sequence variations.

conclusionsIn summary, VAReporter is the first web server designed to provide a "one-stop" resource for individual's diagnosis and large-scale cohort studies, and is freely available at http://rnd.cgu.edu.tw/vareporter .

Indexed as

MutationAlgorithmsExome SequencingGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansInternetMolecular Sequence AnnotationNeoplasmsPrecision MedicineWorkflowExomesICGCNGSSNV annotationTCGA

Identifiers

PMID29764369
PMCPMC5954270

What OpenQuestion holds

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Registered trials

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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.