Evidence map›Paper›PMID 27050193›Full record

ArticlePloS one2016

A Novel Prioritization Method in Identifying Recurrent Venous Thromboembolism-Related Genes.

Jing Jiang, Wan Li, Binhua Liang, Ruiqiang Xie, Binbin Chen, Hao Huang, Yiran Li, Yuehan He, Junjie Lv, Weiming He and 1 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2016. 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

11 authors.

Jing JiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Hei Longjiang Province, China, Postal code: 150081.
Wan LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Hei Longjiang Province, China, Postal code: 150081.
Binhua LiangNational Microbology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
Ruiqiang XieCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Hei Longjiang Province, China, Postal code: 150081.
Binbin ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Hei Longjiang Province, China, Postal code: 150081.
Hao HuangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Hei Longjiang Province, China, Postal code: 150081.
Yiran LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Hei Longjiang Province, China, Postal code: 150081.
Yuehan HeCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Hei Longjiang Province, China, Postal code: 150081.
Junjie LvCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Hei Longjiang Province, China, Postal code: 150081.
Weiming HeInstitute of Opto-electronics, Harbin Institute of Technology, Harbin, Hei Longjiang Province, China.
Lina ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Hei Longjiang Province, China, Postal code: 150081.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying the genes involved in venous thromboembolism (VTE) recurrence is important not only for understanding the pathogenesis but also for discovering the therapeutic targets. We proposed a novel prioritization method called Function-Interaction-Pearson (FIP) by creating gene-disease similarity scores to prioritize candidate genes underling VTE. The scores were calculated by integrating and optimizing three types of resources including gene expression, gene ontology and protein-protein interaction. As a result, 124 out of top 200 prioritized candidate genes had been confirmed in literature, among which there were 34 antithrombotic drug targets. Compared with two well-known gene prioritization tools Endeavour and ToppNet, FIP was shown to have better performance. The approach provides a valuable alternative for drug targets discovery and disease therapy.

Indexed as

Genetic Predisposition to DiseaseGene Expression ProfilingHumansRecurrenceVenous Thromboembolism

Identifiers

PMID27050193
PMCPMC4822849

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.