High-Density Genotypes of Inbred Mouse Strains: Improved Power and Precision of Association Mapping
Author(s) -
Christoph Rau,
Brian W. Parks,
Yibin Wang,
Eleazar Eskin,
Petr Šimeček,
Gary A. Churchill,
Aldons J. Lusis
Publication year - 2015
Publication title -
g3 genes genomes genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.468
H-Index - 66
ISSN - 2160-1836
DOI - 10.1534/g3.115.020784
Subject(s) - biology , genotype , inbred strain , association mapping , genetics , computational biology , genome wide association study , genetic association , phenotype , profiling (computer programming) , gene , single nucleotide polymorphism , computer science , operating system
Human genome-wide association studies have identified thousands of loci associated with disease phenotypes. Genome-wide association studies also have become feasible using rodent models and these have some important advantages over human studies, including controlled environment, access to tissues for molecular profiling, reproducible genotypes, and a wide array of techniques for experimental validation. Association mapping with common mouse inbred strains generally requires 100 or more strains to achieve sufficient power and mapping resolution; in contrast, sample sizes for human studies typically are one or more orders of magnitude greater than this. To enable well-powered studies in mice, we have generated high-density genotypes for ∼175 inbred strains of mice using the Mouse Diversity Array. These new data increase marker density by 1.9-fold, have reduced missing data rates, and provide more accurate identification of heterozygous regions compared with previous genotype data. We report the discovery of new loci from previously reported association mapping studies using the new genotype data. The data are freely available for download, and Web-based tools provide easy access for association mapping and viewing of the underlying intensity data for individual loci.
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