In Silico Mapping of Complex Disease-Related Traits in Mice

• Published in: Science (American Association for the Advancement of Science) Vol. 292; no. 5523; pp. 1915 - 1918
• Main Authors: Grupe, Andrew, Germer, Soren, Usuka, Jonathan, Aud, Dee, Belknap, John K., Klein, Robert F., Ahluwalia, Mandeep K., Higuchi, Russell, Peltz, Gary
• Format: Journal Article
• Language: English
• Published: Washington, DC American Society for the Advancement of Science 08.06.2001; American Association for the Advancement of Science; The American Association for the Advancement of Science
• Subjects: Algorithms; Animals; Biological and medical sciences; Bone Density; Chromosome Mapping - methods; Chromosomes; Classical genetics, quantitative genetics, hybrids; Crosses, Genetic; Databases, Factual; Disease; Disease models; Disease Models, Animal; Diseases; Female; Fundamental and applied biological sciences. Psychology; Genetic aspects; Genetic Linkage; Genetic loci; Genetics; Genetics of eukaryotes. Biological and molecular evolution; Genomes; Genotype; House mouse; Humans; Inbred strains; Kinetics; Linkage Disequilibrium; Major Histocompatibility Complex - genetics; Male; Mice; Mice, Inbred C57BL; Mice, Inbred Strains; Phenotype; Phenotypic traits; Physiological aspects; Polymerase Chain Reaction; Polymorphism, Single Nucleotide; Quantitative trait loci; Quantitative Trait, Heritable; Rodents; single nucleotide polymorphisms; Software; Stem cells; Vertebrata; Genetic mapping; Animal model; Vertebrata; Mammalia; Disease; Mouse; Pathogenesis; Rodentia; Chromosome; Bioinformatics
• ISSN: 0036-8075; 1095-9203
• DOI: 10.1126/science.1058889

Experimental murine genetic models of complex human disease show great potential for understanding human disease pathogenesis. To reduce the time required for analysis of such models from many months down to milliseconds, a computational method for predicting chromosomal regions regulating phenotypic traits and a murine database of single nucleotide polymorphisms were developed. After entry of phenotypic information obtained from inbred mouse strains, the phenotypic and genotypic information is analyzed in silico to predict the chromosomal regions regulating the phenotypic trait.