Abstract
Over the past decades, genetic studies in rodent models of human multifactorial disorders have led to the detection of numerous chromosomal regions associated with disease phenotypes. Owing to the complex control of these phenotypes and the size of the disease loci, identifying the underlying genes requires further analyses in new original models, including chromosome substitution (consomic) and congenic lines, derived to evaluate the phenotypic effects of disease susceptibility loci and fine-map the disease genes. We have developed a relational database (MACS) specifically designed for the genetic marker-assisted production of large series of rodent consomic and congenic lines (“speed congenics”), the organization of their genetic and phenotypic characterizations, and the acquisition and archiving of both genetic and phenotypic data. This database, originally optimized for the production of rat congenics, can also be applied to mouse mapping projects. MACS represents an essential system for significantly improving efficiency and accuracy in investigations of multiple consomic and congenic lines simultaneously derived for different disease loci, and ultimately cloning genes underlying complex phenotypes.
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This work is supported by the Wellcome Trust and grants from Diabetes UK (RD96/0001270) and the EC (“INFRAQTL”-QLRT-2000-00233). Dominique Gauguier holds a Wellcome Trust Senior Fellowship in basic biomedical science. Stephan C Collins is a recipient of a Wellcome Prize Studentship.
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Collins, S.C., Wallis, R.H., Wallace, K. et al. Marker-assisted congenic screening (MACS): A database tool for the efficient production and characterization of congenic lines . Mamm Genome 14, 350–356 (2003). https://doi.org/10.1007/s00335-002-3058-6
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DOI: https://doi.org/10.1007/s00335-002-3058-6