After many years of studying various behavioral characters in the mouse, it is clear that most are heritable and are specified by complexes of genes or quantitative trait loci (QTLs). In order to attain a more complete understanding of the genetic causes of individual differences in behavior, the mechanism of action of these QTLs must be elucidated. The most straightforward approach to determining the mechanism of action of a particular QTL is to identify and molecularly clone the gene; this can be done by positional cloning, which depends on precise knowledge of the genetic map position. As the genetic data base for the mouse genome continues to develop, such strategies will become increasingly easy to perform. Here we suggest a multistage strategy for QTL mapping using recombinant-inbred strains of mice: (1) characterize genomic DNA from parental strains originally used to generate the RI strains; (2) characterize the RI strains for a quantitative character and for DNA markers that differ in the parental strains; and (3) assess the quantitative character in F2 mice derived from crosses between the parental strains, then determine the genotypes of extreme F2 mice for markers that account for at least 5% of the additive genetic variance. Data from these F2 crosses can be used to test hypotheses from the analysis of RI strains i.e., that a QTL maps to a particular region. Using data from the mouse genome data base, this strategy should allow the molecular identification of the gene based on a candidate-gene approach. We illustrate the approach with examples from our work in mapping QTLs specifying neural sensitivity to the anesthetic effects of ethanol.
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Univ Alabama Birmingham, Dept Biostat, Sect Stat Genet, Birmingham, AL 35294 USAUniv Alabama Birmingham, Dept Biostat, Sect Stat Genet, Birmingham, AL 35294 USA
Banerjee, Samprit
Yandell, Brian S.
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Univ Wisconsin, Dept Stat, Madison, WI 53706 USA
Univ Wisconsin, Dept Hort, Madison, WI 53706 USA
Univ Wisconsin, Dept Biostat, Madison, WI 53706 USA
Univ Wisconsin, Dept Med Informat, Madison, WI 53706 USAUniv Alabama Birmingham, Dept Biostat, Sect Stat Genet, Birmingham, AL 35294 USA
Yandell, Brian S.
Yi, Nengjun
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Univ Alabama Birmingham, Dept Biostat, Sect Stat Genet, Birmingham, AL 35294 USAUniv Alabama Birmingham, Dept Biostat, Sect Stat Genet, Birmingham, AL 35294 USA