ArticleBMC medical genomics2010
Genotator: a disease-agnostic tool for genetic annotation of disease.
Article in BMC medical genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- A molecular view of amyotrophic lateral sclerosis through the lens of interaction network modules.PloS one · 2022Article
- A review of computational drug repositioning: strategies, approaches, opportunities, challenges, and directions.Journal of cheminformatics · 2020Review
- RareNeurology. Genetics · 2018Article
- Protein-protein interaction analysis to identify biomarker networks for endometriosis.Experimental and therapeutic medicine · 2017Article
- Biological networks in Parkinson's disease: an insight into the epigenetic mechanisms associated with this disease.BMC genomics · 2017Article
- Arete - candidate gene prioritization using biological network topology with additional evidence types.BioData mining · 2017Article
- Searching for convergent pathways in autism spectrum disorders: insights from human brain transcriptome studies.Cellular and molecular life sciences : CMLS · 2016Review
- Genetic investigation of sudden unexpected death in epilepsy cohort by panel target resequencing.International journal of legal medicine · 2016Article
- Sex Biased Gene Expression Profiling of Human Brains at Major Developmental Stages.Scientific reports · 2016Article
- Article
- Specific Regional and Age-Related Small Noncoding RNA Expression Patterns Within Superior Temporal Gyrus of Typical Human Brains Are Less Distinct in Autism Brains.Journal of child neurology · 2015Article
- An integrated network of microRNA and gene expression in ovarian cancer.BMC bioinformatics · 2015Article
- Identification of differentially expressed microRNAs across the developing human brain.Molecular psychiatry · 2014Article
- A novel method for gathering and prioritizing disease candidate genes based on construction of a set of disease-related MeSH® terms.BMC bioinformatics · 2014Article
- Identification of key regulators for the migration and invasion of rheumatoid synoviocytes through a systems approach.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Construction and analysis of the protein-protein interaction networks based on gene expression profiles of Parkinson's disease.PloS one · 2014Article
- Genetic architecture of Wistar-Kyoto rat and spontaneously hypertensive rat substrains from different sources.Physiological genomics · 2013Article
- Systems biology as a comparative approach to understand complex gene expression in neurological diseases.Behavioral sciences (Basel, Switzerland) · 2013Review
- Genetic interactions associated with 12-month atrophy in hippocampus and entorhinal cortex in Alzheimer's Disease Neuroimaging Initiative.Neurobiology of aging · 2013Article
- Neurocarta: aggregating and sharing disease-gene relations for the neurosciences.BMC genomics · 2013Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundDisease-specific genetic information has been increasing at rapid rates as a consequence of recent improvements and massive cost reductions in sequencing technologies. Numerous systems designed to capture and organize this mounting sea of genetic data have emerged, but these resources differ dramatically in their disease coverage and genetic depth. With few exceptions, researchers must manually search a variety of sites to assemble a complete set of genetic evidence for a particular disease of interest, a process that is both time-consuming and error-prone.
methodsWe designed a real-time aggregation tool that provides both comprehensive coverage and reliable gene-to-disease rankings for any disease. Our tool, called Genotator, automatically integrates data from 11 externally accessible clinical genetics resources and uses these data in a straightforward formula to rank genes in order of disease relevance. We tested the accuracy of coverage of Genotator in three separate diseases for which there exist specialty curated databases, Autism Spectrum Disorder, Parkinson's Disease, and Alzheimer Disease. Genotator is freely available at http://genotator.hms.harvard.edu.
resultsGenotator demonstrated that most of the 11 selected databases contain unique information about the genetic composition of disease, with 2514 genes found in only one of the 11 databases. These findings confirm that the integration of these databases provides a more complete picture than would be possible from any one database alone. Genotator successfully identified at least 75% of the top ranked genes for all three of our use cases, including a 90% concordance with the top 40 ranked candidates for Alzheimer Disease.
conclusionsAs a meta-query engine, Genotator provides high coverage of both historical genetic research as well as recent advances in the genetic understanding of specific diseases. As such, Genotator provides a real-time aggregation of ranked data that remains current with the pace of research in the disease fields. Genotator's algorithm appropriately transforms query terms to match the input requirements of each targeted databases and accurately resolves named synonyms to ensure full coverage of the genetic results with official nomenclature. Genotator generates an excel-style output that is consistent across disease queries and readily importable to other applications.
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Registered trials
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