ArticleNucleic acids research2007
Update of the G2D tool for prioritization of gene candidates to inherited diseases.
Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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.
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.
Who cites it
31 citing papers in PubMed.
- NADPH Oxidase 3: Beyond the Inner Ear.Antioxidants (Basel, Switzerland) · 2024Review
- Identidication of novel biomarkers in non-small cell lung cancer using machine learning.Scientific reports · 2022Article
- Identified GNGT1 and NMU as Combined Diagnosis Biomarker of Non-Small-Cell Lung Cancer Utilizing Bioinformatics and Logistic Regression.Disease markers · 2021Article
- A Survey of Gene Prioritization Tools for Mendelian and Complex Human Diseases.Journal of integrative bioinformatics · 2019Review
- Discovery of Bladder Cancer-related Genes Using Integrative Heterogeneous Network Modeling of Multi-omics Data.Scientific reports · 2017Article
- Constructing an integrated gene similarity network for the identification of disease genes.Journal of biomedical semantics · 2017Article
- Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery.Briefings in bioinformatics · 2016Review
- OVA: integrating molecular and physical phenotype data from multiple biomedical domain ontologies with variant filtering for enhanced variant prioritization.Bioinformatics (Oxford, England) · 2015Article
- Ehlers-Danlos Syndrome, Hypermobility Type, Is Linked to Chromosome 8p22-8p21.1 in an Extended Belgian Family.Disease markers · 2015Article
- Text mining in cancer gene and pathway prioritization.Cancer informatics · 2014Review
- DigSee: Disease gene search engine with evidence sentences (version cancer).Nucleic acids research · 2013Article
- Chapter 15: disease gene prioritization.PLoS computational biology · 2013Article
- PhenoDigm: analyzing curated annotations to associate animal models with human diseases.Database : the journal of biological databases and curation · 2013Article
- Mining Genotype-Phenotype Associations from Public Knowledge Sources via Semantic Web Querying.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2013Article
- Computational tools for prioritizing candidate genes: boosting disease gene discovery.Nature reviews. Genetics · 2012Review
- Bioinformatics for personal genome interpretation.Briefings in bioinformatics · 2012Review
- Enhancing the prioritization of disease-causing genes through tissue specific protein interaction networks.PLoS computational biology · 2012Article
- Biomarker identification for prostate cancer and lymph node metastasis from microarray data and protein interaction network using gene prioritization method.TheScientificWorldJournal · 2012Article
- Inferring novel gene-disease associations using Medical Subject Heading Over-representation Profiles.Genome medicine · 2012Article
- Génie: literature-based gene prioritization at multi genomic scale.Nucleic acids research · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
G2D (genes to diseases) is a web resource for prioritizing genes as candidates for inherited diseases. It uses three algorithms based on different prioritization strategies. The input to the server is the genomic region where the user is looking for the disease-causing mutation, plus an additional piece of information depending on the algorithm used. This information can either be the disease phenotype (described as an online Mendelian inheritance in man (OMIM) identifier), one or several genes known or suspected to be associated with the disease (defined by their Entrez Gene identifiers), or a second genomic region that has been linked as well to the disease. In the latter case, the tool uses known or predicted interactions between genes in the two regions extracted from the STRING database. The output in every case is an ordered list of candidate genes in the region of interest. For the first two of the three methods, the candidate genes are first retrieved through sequence homology search, then scored accordingly to the corresponding method. This means that some of them will correspond to well-known characterized genes, and others will overlap with predicted genes, thus providing a wider analysis. G2D is publicly available at http://www.ogic.ca/projects/g2d_2/
Indexed as
Identifiers
What OpenQuestion holds
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.