Simultaneous Detection and Fine Mapping of Quantitative Trait Loci in Mice Using Heterogeneous Stocks

作者: Jonathan Flint , Richard Mott

DOI: 10.1093/GENETICS/160.4.1609

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摘要: We describe a method to simultaneously detect and fine map quantitative trait loci (QTL) that is especially suited the mapping of modifier in mouse mutant models. The exploits high level historical recombination present heterogeneous stock (HS), an outbred population mice derived from known founder strains. experimental design F(2) cross between HS genetically distinct line, such as one carrying knockout or transgene. QTL detection performed by standard genome scan with approximately 100 markers typing same animals using densely spaced over those candidate regions detected scan. analysis uses extension dynamic-programming technique employed previously mice. show simulation accounting for 5% total variance can be mapped >50% probability within 3 cM genotyping 1500 animals.

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