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Phenotypes and Models

Welcome to the Phenotypes & Models Portal within RGD. This portal contains data related to rat strains and phenotypes, as well as essential information for conducting physiological research, identifying disease models, and community forums for gathering feedback from the scientific community. Please feel free to contact us with suggestions for additional data or tools that would help advance your research.

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Publications

The Year of the Rat: The Rat Genome Database at 20: a multi-species knowledgebase and analysis platform.
The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research
Ontology searching and browsing at the Rat Genome Database.
MOET: a web-based gene set enrichment tool at the Rat Genome Database for multiontology and multispecies analyses
The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research.
PhenoMiner: quantitative phenotype curation at the rat genome database.
Ontology searching and browsing at the Rat Genome Database.

Selected Reviews
Rat models of human diseases and related phenotypes: a systematic inventory of the causative genes
Learning-based animal models: task-specific focal
Pathophysiological tissue changes associated
Uric acid: bystander or culprit in hypertension
Renal medullary oxidative stress, pressure-natriuresis
Traumatic coagulopathy: where are the good
Utility of animal models for identification of potential
Renin-angiotensin system blockade and diabetes
Predisease biological markers: early diagnosis
Trafficking of dietary fat and resistance
Role of glomerular filtration rate in controlling blood
New perspectives from microdialysis studies in
Pathophysiology of salt-sensitive hypertension
Pathogenesis of primary chronic venous disease
Vascular remodeling: hemodynamic and biochemical
Cardiovascular actions of insulin
Rodent models for glaucoma retinopathy
Microvascular dysfunction in obesity: a potential

RGD is funded by grant HL64541 from the National Heart, Lung, and Blood Institute on behalf of the NIH.

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