| Literature DB >> 22892838 |
Anatole Ghazalpour1, Christoph D Rau, Charles R Farber, Brian J Bennett, Luz D Orozco, Atila van Nas, Calvin Pan, Hooman Allayee, Simon W Beaven, Mete Civelek, Richard C Davis, Thomas A Drake, Rick A Friedman, Nick Furlotte, Simon T Hui, J David Jentsch, Emrah Kostem, Hyun Min Kang, Eun Yong Kang, Jong Wha Joo, Vyacheslav A Korshunov, Rick E Laughlin, Lisa J Martin, Jeffrey D Ohmen, Brian W Parks, Matteo Pellegrini, Karen Reue, Desmond J Smith, Sotirios Tetradis, Jessica Wang, Yibin Wang, James N Weiss, Todd Kirchgessner, Peter S Gargalovic, Eleazar Eskin, Aldons J Lusis, Renée C LeBoeuf.
Abstract
We have developed an association-based approach using classical inbred strains of mice in which we correct for population structure, which is very extensive in mice, using an efficient mixed-model algorithm. Our approach includes inbred parental strains as well as recombinant inbred strains in order to capture loci with effect sizes typical of complex traits in mice (in the range of 5% of total trait variance). Over the last few years, we have typed the hybrid mouse diversity panel (HMDP) strains for a variety of clinical traits as well as intermediate phenotypes and have shown that the HMDP has sufficient power to map genes for highly complex traits with resolution that is in most cases less than a megabase. In this essay, we review our experience with the HMDP, describe various ongoing projects, and discuss how the HMDP may fit into the larger picture of common diseases and different approaches.Entities:
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Year: 2012 PMID： 22892838 PMCID： PMC3586763 DOI： 10.1007/s00335-012-9411-5
Source DB: PubMed Journal: Mamm Genome ISSN： 0938-8990 Impact factor: 2.957