@article{Bennett01022010,
author = {Bennett, Brian J. and Farber, Charles R. and Orozco, Luz and Min Kang, Hyun and Ghazalpour, Anatole and Siemers, Nathan and Neubauer, Michael and Neuhaus, Isaac and Yordanova, Roumyana and Guan, Bo and Truong, Amy and Yang, Wen-pin and He, Aiqing and Kayne, Paul and Gargalovic, Peter and Kirchgessner, Todd and Pan, Calvin and Castellani, Lawrence W. and Kostem, Emrah and Furlotte, Nicholas and Drake, Thomas A. and Eskin, Eleazar and Lusis, Aldons J.}, 
title = {A high-resolution association mapping panel for the dissection of complex traits in mice},
volume = {20}, 
number = {2}, 
pages = {281-290}, 
year = {2010}, 
doi = {10.1101/gr.099234.109}, 
abstract ={Systems genetics relies on common genetic variants to elucidate biologic networks contributing to complex disease-related phenotypes. Mice are ideal model organisms for such approaches, but linkage analysis has been only modestly successful due to low mapping resolution. Association analysis in mice has the potential of much better resolution, but it is confounded by population structure and inadequate power to map traits that explain less than 10% of the variance, typical of mouse quantitative trait loci (QTL). We report a novel strategy for association mapping that combines classic inbred strains for mapping resolution and recombinant inbred strains for mapping power. Using a mixed model algorithm to correct for population structure, we validate the approach by mapping over 2500 cis-expression QTL with a resolution an order of magnitude narrower than traditional QTL analysis. We also report the fine mapping of metabolic traits such as plasma lipids. This resource, termed the Hybrid Mouse Diversity Panel, makes possible the integration of multiple data sets and should prove useful for systems-based approaches to complex traits and studies of gene-by-environment interactions.}, 
URL = {http://genome.cshlp.org/content/20/2/281.abstract}, 
eprint = {http://genome.cshlp.org/content/20/2/281.full.pdf+html}, 
journal = {Genome Research} 
}