ReviewJournal of integrative bioinformatics2019
A Survey of Gene Prioritization Tools for Mendelian and Complex Human Diseases.
Review in Journal of integrative bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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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.
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.
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Who cites it
24 citing papers in PubMed.
- ExIR enables prioritizing driver and biomarker genes from omics data in a reference free manner.iScience · 2026Article
- eVGeMdb: a manually curated database for experimentally validated genetic modifiers of neurodegenerative disorders.NAR molecular medicine · 2026Article
- Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases.NPJ digital medicine · 2025Article
- Drugst.One - a plug-and-play solution for online systems medicine and network-based drug repurposing.Nucleic acids research · 2024Article
- Clover: An unbiased method for prioritizing differentially expressed genes using a data-driven approach.Genes to cells : devoted to molecular & cellular mechanisms · 2024Article
- Prioritization of oligogenic variant combinations in whole exomes.Bioinformatics (Oxford, England) · 2024Article
- STIGMA: Single-cell tissue-specific gene prioritization using machine learning.American journal of human genetics · 2024Article
- Using multi-scale genomics to associate poorly annotated genes with rare diseases.Genome medicine · 2024Article
- A multi-layered network model identifies Akt1 as a common modulator of neurodegeneration.Molecular systems biology · 2023Article
- DAIKON: A Data Acquisition, Integration, and Knowledge Capture Web Application for Target-Based Drug Discovery.ACS pharmacology & translational science · 2023Article
- Drugst.One - A plug-and-play solution for online systems medicine and network-based drug repurposing.ArXiv · 2023Article
- DeepGenePrior: A deep learning model for prioritizing genes affected by copy number variants.PLoS computational biology · 2023Article
- DGH-GO: dissecting the genetic heterogeneity of complex diseases using gene ontology.BMC bioinformatics · 2023Article
- Resources and tools for rare disease variant interpretation.Frontiers in molecular biosciences · 2023Review
- Detecting biased validation of predictive models in the positive-unlabeled setting: disease gene prioritization case study.Bioinformatics advances · 2023Article
- Adjustment ofFrontiers in genetics · 2023Article
- Network-Based Methods for Approaching Human Pathologies from a Phenotypic Point of View.Genes · 2022Review
- A Bioinformatics-Assisted Review on Iron Metabolism and Immune System to Identify Potential Biomarkers of Exercise Stress-Induced Immunosuppression.Biomedicines · 2022Review
- The frequency of somatic mutations in cancer predicts the phenotypic relevance of germline mutations.Frontiers in genetics · 2022Article
- Prioritizing Suggestive Candidate Genes in Migraine: An Opinion.Frontiers in neurology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern high-throughput experiments provide us with numerous potential associations between genes and diseases. Experimental validation of all the discovered associations, let alone all the possible interactions between them, is time-consuming and expensive. To facilitate the discovery of causative genes, various approaches for prioritization of genes according to their relevance for a given disease have been developed. In this article, we explain the gene prioritization problem and provide an overview of computational tools for gene prioritization. Among about a hundred of published gene prioritization tools, we select and briefly describe 14 most up-to-date and user-friendly. Also, we discuss the advantages and disadvantages of existing tools, challenges of their validation, and the directions for future research.
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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 OpenQuestion graph.