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Difficulties in fine-mapping quantitative trait loci (QTLs) are a major impediment to progress in the molecular dissection of complex traits in mice. Here we show that genome-wide high-resolution mapping of multiple phenotypes can be achieved using a stock of genetically heterogeneous mice. We developed a conservative and robust bootstrap analysis to map 843 QTLs with an average 95% confidence interval of 2.8 Mb. The QTLs contribute to variation in 97 traits, including models of human disease (asthma, type 2 diabetes mellitus, obesity and anxiety) as well as immunological, biochemical and hematological phenotypes. The genetic architecture of almost all phenotypes was complex, with many loci each contributing a small proportion to the total variance. Our data set, freely available at http://gscan.well.ox.ac.uk, provides an entry point to the functional characterization of genes involved in many complex traits.

Original publication

DOI

10.1038/ng1840

Type

Journal article

Journal

Nat Genet

Publication Date

08/2006

Volume

38

Pages

879 - 887

Keywords

Animals, Breeding, Chromosome Mapping, Female, Genomics, Genotype, Humans, Male, Mice, Models, Genetic, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci