Simultaneous Detection and Fine-mapping of Quantitative Trait Loci in Mice using Heterogeneous Stocks
Richard Mott, Jonathan Flint
Wellcome Trust Centre for Human Genetics
Oxford University,
Oxford, OX3 7BN, UK
ABSTRACT
We describe a method to simultaneously detect and fine-map quantitative
trait loci (QTL), especially suited to the mapping of modifier loci in
mouse mutant models. The method exploits the high level of historical
recombination present in a heterogeneous stock (HS), an outbred
population of mice derived from known founder strains. The experimental
design is an F2 cross between the HS and a genetically-distinct line,
such as one carrying a knockout or transgene. QTL detection is performed
by a standard genome scan with around 100 markers and fine-mapping by
typing the same animals using densely-spaced markers over those
candidate regions detected by the scan. The analysis uses an extension
of the dynamic-programming technique employed previously to fine-map QTL
in HS mice. We show by simulation that a QTL accounting for 5% of the
total variance can be detected and fine-mapped with over 50% probability
to within 3 cM by genotyping about 1500 animals.
We also investigate ways to utilise HS animals for fine-mapping QTL in
F1 HS x Inbred intercrosses. By working with large sibships (eg from
frozen sperm) and using parental haplotype data we suggest that is is
possible to reduce the genotyping effort in the F1 generation
significantly.