ArticleBMC genomics2013
Neurocarta: aggregating and sharing disease-gene relations for the neurosciences.
Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled 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.
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
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-Analysis of Gene Expression Patterns in Animal Models of Prenatal Alcohol Exposure Suggests Role for Protein Synthesis Inhibition and Chromatin Remodeling.Alcoholism, clinical and experimental research · 2016Pooled it
- Meta-Analysis of Gene Expression in Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2015Pooled it
- A multi-layered network model identifies Akt1 as a common modulator of neurodegeneration.Molecular systems biology · 2023Article
- Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex.NeuroImage · 2018Article
- Strength of functional signature correlates with effect size in autism.Genome medicine · 2017Article
- Using predictive specificity to determine when gene set analysis is biologically meaningful.Nucleic acids research · 2017Article
- Interactive Exploration, Analysis, and Visualization of Complex Phenome-Genome Datasets with ASPIREdb.Human mutation · 2016Article
- DNA methylation signature of human fetal alcohol spectrum disorder.Epigenetics & chromatin · 2016Article
- The Disease Ontology: fostering interoperability between biological and clinical human disease-related data.Mammalian genome : official journal of the International Mammalian Genome Society · 2015Article
- Prenatal alcohol exposure alters steady-state and activated gene expression in the adult rat brain.Alcoholism, clinical and experimental research · 2015Article
- Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data.Nucleic acids research · 2015Article
- De novo mutations in schizophrenia implicate chromatin remodeling and support a genetic overlap with autism and intellectual disability.Molecular psychiatry · 2014Article
- Meta-analysis of human methylomes reveals stably methylated sequences surrounding CpG islands associated with high gene expression.Epigenetics & chromatin · 2014Article
- OGA: an ontological tool of human phenotypes with genetic associations.BMC research notes · 2013Article
- Proceedings of the 12th Annual UT-ORNL-KBRIN Bioinformatics Summit 2013.BMC bioinformatics · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundUnderstanding the genetic basis of diseases is key to the development of better diagnoses and treatments. Unfortunately, only a small fraction of the existing data linking genes to phenotypes is available through online public resources and, when available, it is scattered across multiple access tools. DESCRIPTION: Neurocarta is a knowledgebase that consolidates information on genes and phenotypes across multiple resources and allows tracking and exploring of the associations. The system enables automatic and manual curation of evidence supporting each association, as well as user-enabled entry of their own annotations. Phenotypes are recorded using controlled vocabularies such as the Disease Ontology to facilitate computational inference and linking to external data sources. The gene-to-phenotype associations are filtered by stringent criteria to focus on the annotations most likely to be relevant. Neurocarta is constantly growing and currently holds more than 30,000 lines of evidence linking over 7,000 genes to 2,000 different phenotypes.
conclusionsNeurocarta is a one-stop shop for researchers looking for candidate genes for any disorder of interest. In Neurocarta, they can review the evidence linking genes to phenotypes and filter out the evidence they're not interested in. In addition, researchers can enter their own annotations from their experiments and analyze them in the context of existing public annotations. Neurocarta's in-depth annotation of neurodevelopmental disorders makes it a unique resource for neuroscientists working on brain development.
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.