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Background: Complex etiology and pathogenesis of pathophysiological components of the cardio-metabolic syndrome have been demonstrated in humans and animal models., Methodology/principal Findings: We have generated extensive physiological, genetic and genome-wide gene expression profiles in a congenic strain of the spontaneously diabetic Goto-Kakizaki (GK) rat containing a large region (110 cM, 170 Mb) of rat chromosome 1 (RNO1), which covers diabetes and obesity quantitative trait loci (QTL), introgressed onto the genetic background of the normoglycaemic Brown Norway (BN) strain. This novel disease model, which by the length of the congenic region closely mirrors the situation of a chromosome substitution strain, exhibits a wide range of abnormalities directly relevant to components of the cardio-metabolic syndrome and diabetes complications, including hyperglycaemia, hyperinsulinaemia, enhanced insulin secretion both in vivo and in vitro, insulin resistance, hypertriglyceridemia and altered pancreatic and renal histological structures. Gene transcription data in kidney, liver, skeletal muscle and white adipose tissue indicate that a disproportionately high number (43-83%) of genes differentially expressed between congenic and BN rats map to the GK genomic interval targeted in the congenic strain, which represents less than 5% of the total length of the rat genome. Genotype analysis of single nucleotide polymorphisms (SNPs) in strains genetically related to the GK highlights clusters of conserved and strain-specific variants in RNO1 that can assist the identification of naturally occurring variants isolated in diabetic and hypertensive strains when different phenotype selection procedures were applied., Conclusions: Our results emphasize the importance of rat congenic models for defining the impact of genetic variants in well-characterised QTL regions on in vivo pathophysiological features and cis-/trans- regulation of gene expression. The congenic strain reported here provides a novel and sustainable model for investigating the pathogenesis and genetic basis of risks factors for the cardio-metabolic syndrome.

We have constructed a high-resolution consensus genetic map of the rat in a single large intercross, which integrates 747 framework markers and 687 positions of our whole-genome radiation hybrid (RH) map of the rat. We selected 136 new gene markers from the GenBank database and assigned them either genetically or physically to rat chromosomes to evaluate the accuracy of the integrated linkage-RH maps in the localization of new markers and to enrich existing comparative mapping data. These markers and 631 D-Got- markers, which are physically mapped but still uncharacterized for evidence of polymorphism, were tested for allele variations in a panel of 16 rat strains commonly used in genetic studies. The consensus linkage map constructed in the GK x BN cross now comprises 1620 markers of various origins, defining 840 resolved genetic positions with an average spacing of 2.2 cM between adjacent loci, and includes 407 gene markers. This whole-genome genetic map will contribute to the advancement of genetic studies in the rat by incorporating gene/EST maps, physical mapping information, and sequence data generated in rat and other mammalian species into genetic intervals harboring disease susceptibility loci identified in rat models of human genetic disorders.

We report the localization of 92 new gene-based markers assigned to rat chromosome 1 by linkage or radiation hybrid mapping. The markers were chosen to enrich gene mapping data in a region of the rat chromosome known to contain several of the principal quantitative trait loci in rodent models of human multifactorial disease. The composite map reported here provides map information on a total of 139 known genes, including 80 that have been localized in mouse and 109 that have been localized in human, and integrates the gene-based markers with anonymous microsatellites. The evolutionary breakpoints identifying 16 segments that are homologous regions in the human genome are defined. These data will facilitate genetic and comparative mapping studies and identification of novel candidate genes for the quantitative trait loci that have been localized to the region., (Copyright 2000 Academic Press.)