Experimental murine genetic models of complex human disease show great pote
ntial for understanding human disease pathogenesis. To reduce the time requ
ired for analysis of such models from many months down to milliseconds, a c
omputational method for predicting chromosomal regions regulating phenotypi
c traits and a murine database of single nucleotide polymorphisms were deve
loped. After entry of phenotypic information obtained from inbred mouse str
ains, the phenotypic and genotypic information is analyzed in silico to pre
dict the chromosomal regions regulating the phenotypic trait.