The Hybrid Mouse Diversity Panel: a resource for systems genetics analyses of metabolic and cardiovascular traits.
The Hybrid Mouse Diversity Panel (HMDP) is a collection of approximately 100 well-characterized inbred strains of mice that can be used to analyze the genetic and environmental factors underlying complex traits. While not nearly as powerful for mapping genetic loci contributing to the traits as human genome-wide association studies, it has some important advantages. First, environmental factors can be controlled. Second, relevant tissues are accessible for global molecular phenotyping. Finally, because inbred strains are renewable, results from separate studies can be integrated. Thus far, the HMDP has been studied for traits relevant to obesity, diabetes, atherosclerosis, osteoporosis, heart failure, immune regulation, fatty liver disease, and host-gut microbiota interactions. High-throughput technologies have been used to examine the genomes, epigenomes, transcriptomes, proteomes, metabolomes, and microbiomes of the mice under various environmental conditions. All of the published data are available and can be readily used to formulate hypotheses about genes, pathways and interactions.
Departments of Medicine, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA Microbiology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA Human Genetics, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA jlusis@mednet.ucla.edu.
Aldons J
AJ
Lusis
Departments of Medicine, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA.
Marcus M
MM
Seldin
Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA.
Hooman
H
Allayee
Department of Genetics, University of North Carolina, Chapel Hill, NC.
Brian J
BJ
Bennett
Departments of Biomedical Engineering University of Virginia, Charlottesville, VA.
Mete
M
Civelek
Departments of Medicine, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA.
Richard C
RC
Davis
Departments of Computer Science, University of California-Los Angeles, Los Angeles, CA.
Eleazar
E
Eskin
Public Health Sciences, University of Virginia, Charlottesville, VA.
Charles R
CR
Farber
Departments of Medicine, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA.
Simon
S
Hui
Departments of Medicine, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA.
Margarete
M
Mehrabian
Departments of Medicine, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA.
Frode
F
Norheim
Human Genetics, University of California-Los Angeles, Los Angeles, CA.
Calvin
C
Pan
Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI.
Brian
B
Parks
Anesthesiology, University of California-Los Angeles, Los Angeles, CA.
Christoph D
CD
Rau
Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA.
Desmond J
DJ
Smith
Departments of Medicine, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA.
Thomas
T
Vallim
Anesthesiology, University of California-Los Angeles, Los Angeles, CA.
Yibin
Y
Wang
Departments of Medicine, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA.
Jessica
J
Wang
D000818:Animals; D050197:Atherosclerosis / Q000235:genetics; D002318:Cardiovascular Diseases / Q000235:genetics* / Q000473:pathology; D004195:Disease Models, Animal; D055106:Genome-Wide Association Study; D006333:Heart Failure / Q000235:genetics; D006801:Humans; D006824:Hybridization, Genetic; D007333:Insulin Resistance / Q000235:genetics; D008659:Metabolic Diseases / Q000235:genetics* / Q000473:pathology; D051379:Mice; D064307:Microbiota / Q000235:genetics; D009765:Obesity / Q000235:genetics; D010024:Osteoporosis / Q000235:genetics; D040641:Quantitative Trait Loci / Q000235:genetics; D059467:Transcriptome / Q000235:genetics*
aherosclerosis; gene expression; gene mapping; gene-by-diet interaction; heart failure; insulin resistance; microbiota; obesity; osteoporosis