Hybrid mouse diversity panel: a panel of inbred mouse strains suitable for analysis of complex genetic traits

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...

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Veröffentlicht in:Mammalian genome 2012-10, Vol.23 (9-10), p.680-692
Hauptverfasser: Ghazalpour, Anatole, Rau, Christoph D, Farber, Charles R, Bennett, Brian J, Orozco, Luz D, van Nas, Atila, Pan, Calvin, Allayee, Hooman, Beaven, Simon W, Civelek, Mete, Davis, Richard C, Drake, Thomas A, Friedman, Rick A, Furlotte, Nick, Hui, Simon T, Jentsch, J. David, Kostem, Emrah, Kang, Hyun Min, Kang, Eun Yong, Joo, Jong Wha, Korshunov, Vyacheslav A, Laughlin, Rick E, Martin, Lisa J, Ohmen, Jeffrey D, Parks, Brian W, Pellegrini, Matteo, Reue, Karen, Smith, Desmond J, Tetradis, Sotirios, Wang, Jessica, Wang, Yibin, Weiss, James N, Kirchgessner, Todd, Gargalovic, Peter S, Eskin, Eleazar, Lusis, Aldons J, LeBoeuf, Renée C
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Sprache:eng
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Zusammenfassung: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.
ISSN:0938-8990
1432-1777
DOI:10.1007/s00335-012-9411-5