AI Article Synopsis
- Understanding disease progression is crucial for developing treatment strategies, and animal models, particularly laboratory rats, play a key role in this research.
- The Rat Genome Database (RGD) provides extensive genetic, genomic, and phenotypic data on rats, including related information from mice and humans, which supports disease association studies.
- RGD offers tools for data retrieval and analysis, allowing researchers to explore genetic variants and disease associations, with diabetes serving as an example for this exploration.
Article Abstract
Understanding the pathogenesis of disease is instrumental in delineating its progression mechanisms and for envisioning ways to counteract it. In the process, animal models represent invaluable tools for identifying disease-related loci and their genetic components. Amongst them, the laboratory rat is used extensively in the study of many conditions and disorders. The Rat Genome Database (RGD-http://rgd.mcw.edu) has been established to house rat genetic, genomic and phenotypic data. Since its inception, it has continually expanded the depth and breadth of its content. Currently, in addition to rat genes, QTLs and strains, RGD houses mouse and human genes and QTLs and offers pertinent associated data, acquired through manual literature curation and imported via pipelines. A collection of controlled vocabularies and ontologies is employed for the standardized extraction and provision of biological data. The vocabularies/ontologies allow the capture of disease and phenotype associations of rat strains and QTLs, as well as disease and pathway associations of rat, human and mouse genes. A suite of tools enables the retrieval, manipulation, viewing and analysis of data. Genes associated with particular conditions or with altered networks underlying disease pathways can be retrieved. Genetic variants in humans or in sequenced rat strains can be searched and compared. Lists of rat strains and species-specific genes and QTLs can be generated for selected ontology terms and then analyzed, downloaded or sent to other tools. From many entry points, data can be accessed and results retrieved. To illustrate, diabetes is used as a case study to initiate and embark upon an exploratory journey.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4700298 | PMC |
| http://dx.doi.org/10.1016/j.csbj.2015.11.006 | DOI Listing |
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