Genomewide association analysis in diverse inbred mice: power and population structure.
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Mcclurg, Phillip, Janes, Jeff, Wu, Chunlei, Delano, David, Walker, John, Batalov, Sergei, Takahashi, Joseph, Shimomura, Kazuhiro, Kohsaka, Akira, Bass, Joseph, Wiltshire, Timothy and Su, Andrew (2007) Genomewide association analysis in diverse inbred mice: power and population structure. Genetics, 176 (1). pp. 675-683. ISSN 0016-6731
Abstract
The discovery of quantitative trait loci (QTL) in model organisms has relied heavily on the ability to perform controlled breeding to generate genotypic and phenotypic diversity. Recently, we and others have demonstrated the use of an existing set of diverse inbred mice (referred to here as the mouse diversity panel, MDP) as a QTL mapping population. The use of the MDP population has many advantages relative to traditional F(2) mapping populations, including increased phenotypic diversity, a higher recombination frequency, and the ability to collect genotype and phenotype data in community databases. However, these methods are complicated by population structure inherent in the MDP and the lack of an analytical framework to assess statistical power. To address these issues, we measured gene expression levels in hypothalamus across the MDP. We then mapped these phenotypes as quantitative traits with our association algorithm, resulting in a large set of expression QTL (eQTL). We utilized these eQTL, and specifically cis-eQTL, to develop a novel nonparametric method for association analysis in structured populations like the MDP. These eQTL data confirmed that the MDP is a suitable mapping population for QTL discovery and that eQTL results can serve as a gold standard for relative measures of statistical power.
| Item Type: | Article |
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| Additional Information: | free final full text version available at publisher's official URL and at PubMedCentral; archiving not formally supported by this publisher |
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| Date Deposited: | 14 Dec 2009 14:05 |
| Last Modified: | 31 Jan 2013 01:27 |
| URI: | https://oak.novartis.com/id/eprint/119 |