Evidence map›Paper›PMID 31427480›Full record

ArticleBioscience reports2019

HPO-Shuffle: an associated gene prioritization strategy and its application in drug repurposing for the treatment of canine epilepsy.

Shuguang Wang, Xiangyu Meng, Yuxing Wang, Yemao Liu, Jingbo Xia

Abstract read
In one paragraph

Article in Bioscience reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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

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

  1. Pooled it
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  3. Review
  4. 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

5 authors.

Shuguang WangHubei Key Lab of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Hubei Province, P.R. China.
Xiangyu MengDepartment of Urology, Zhongnan Hospital of Wuhan University, P.R. China.
Yuxing WangHubei Key Lab of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Hubei Province, P.R. China.
Yemao LiuHubei Key Lab of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Hubei Province, P.R. China.
Jingbo XiaHubei Key Lab of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Hubei Province, P.R. China xiajingbo.math@gmail.com xjb@mail.hzau.edu.cn.ORCID 0000-0002-7285-588X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epilepsy is a common neurological disorder that affects mammalian species including human beings and dogs. In order to discover novel drugs for the treatment of canine epilepsy, multiomics data were analyzed to identify epilepsy associated genes. In this research, the original ranking of associated genes was obtained by two high-throughput bioinformatics experiments: Genome Wide Association Study (GWAS) and microarray analysis. The association ranking of genes was enhanced by a re-ranking system, HPO-Shuffle, which integrated information from GWAS, microarray analysis and Human Phenotype Ontology database for further downstream analysis. After applying HPO-Shuffle, the association ranking of epilepsy genes were improved. Afterward, a weighted gene coexpression network analysis (WGCNA) led to a set of gene modules, which hinted a clear relevance between the high ranked genes and the target disease. Finally, WGCNA and connectivity map (CMap) analysis were performed on the integrated dataset to discover a potential drug list, in which a well-known anticonvulsant

Indexed as

Genome-Wide Association StudyAnimalsAnticonvulsantsComputational BiologyDog DiseasesDogsDrug RepositioningEpilepsyGene Regulatory NetworksHumansMicroarray AnalysisAnticonvulsantsCanine EpilepsyDrug RepurposingHuman Phenotype OntologyOmics DataRe-ranking

Identifiers

PMID31427480
PMCPMC6732366

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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.