ArticlePloS one2017
A network-based method using a random walk with restart algorithm and screening tests to identify novel genes associated with Menière's disease.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.
- Identification of Potential Meniere's Disease Targets in the Adult Stria Vascularis.Frontiers in neurology · 2021Pooled it
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- AMEND: active module identification using experimental data and network diffusion.BMC bioinformatics · 2023Article
- Network medicine: an approach to complex kidney disease phenotypes.Nature reviews. Nephrology · 2023Review
- PWN: enhanced random walk on a warped network for disease target prioritization.BMC bioinformatics · 2023Article
- Serum/glucocorticoid-inducible kinase 1 deficiency induces NLRP3 inflammasome activation and autoinflammation of macrophages in a murine endolymphatic hydrops model.Nature communications · 2023Article
- Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records.BMC medical informatics and decision making · 2022Article
- Network analysis of atherosclerotic genes elucidates druggable targets.BMC medical genomics · 2022Article
- Protective effect of anakinra on audiovestibular function in a murine model of endolymphatic hydrops.Frontiers in cellular neuroscience · 2022Article
- Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes.BMC bioinformatics · 2021Article
- Candidate gene prioritization for chronic obstructive pulmonary disease using expression information in protein-protein interaction networks.BMC pulmonary medicine · 2021Article
- Identification of Therapeutic Targets for the Selective Killing of HBV-Positive Hepatocytes.Journal of personalized medicine · 2021Article
- Identification of Latent Oncogenes with a Network Embedding Method and Random Forest.BioMed research international · 2020Article
- The exploration of disease-specific gene regulatory networks in esophageal carcinoma and stomach adenocarcinoma.BMC bioinformatics · 2019Article
- Inferring novel genes related to colorectal cancer via random walk with restart algorithm.Gene therapy · 2019Article
- Three-Dimensional Magnetic Resonance Imaging Reveals the Relationship Between the Control of Vertigo and Decreases in Endolymphatic Hydrops After Endolymphatic Sac Drainage With Steroids for Meniere's Disease.Frontiers in neurology · 2019Article
- Rare Variants of Putative Candidate Genes Associated With Sporadic Meniere's Disease in East Asian Population.Frontiers in neurology · 2019Article
- Large-scale mining disease comorbidity relationships from post-market drug adverse events surveillance data.BMC bioinformatics · 2018Article
- Cross talk of chromosome instability, CpG island methylator phenotype and mismatch repair in colorectal cancer.Oncology letters · 2018Article
- Genes important for otoneurological diagnostic purposes - current status and future prospects.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2018Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As a chronic illness derived from hair cells of the inner ear, Menière's disease (MD) negatively influences the quality of life of individuals and leads to a number of symptoms, such as dizziness, temporary hearing loss, and tinnitus. The complete identification of novel genes related to MD would help elucidate its underlying pathological mechanisms and improve its diagnosis and treatment. In this study, a network-based method was developed to identify novel MD-related genes based on known MD-related genes. A human protein-protein interaction (PPI) network was constructed using the PPI information reported in the STRING database. A classic ranking algorithm, the random walk with restart (RWR) algorithm, was employed to search for novel genes using known genes as seed nodes. To make the identified genes more reliable, a series of screening tests, including a permutation test, an interaction test and an enrichment test, were designed to select essential genes from those obtained by the RWR algorithm. As a result, several inferred genes, such as CD4, NOTCH2 and IL6, were discovered. Finally, a detailed biological analysis was performed on fifteen of the important inferred genes, which indicated their strong associations with MD.
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Registered trials
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 Socratic graph.