During the present cycle of our PPG, we have developed a novel approach, which we term """"""""integrative genetics"""""""", to help identify genes and pathways associated with the Metabolic Syndrome (MetSyn). We have also developed a new mapping tool in mice, which we term a """"""""mouse diversity panel"""""""" (MDP), which allows high resolution mapping of traits such as gene-by-environment interactions. In the present proposal, we will apply these tools to two basic questions concerning the metabolic syndrome. The first question has to do with the nature ofthe molecular networks underlying human MetSyn traits. In our previous """"""""integrative genetics"""""""" studies, we examined both molecular phenotypes (transcript levels) and clinical phenotypes in segregating mouse populations. This allowed us to identify genetic loci controlling transcript levels and model co-expression networks. We will now extend this approach to human populations. In collaboration with Dr. Markku Laakso, we will examine DNA variation and transcript levels in fat biopsies from 1,000 individuals in a MetSyn study population that has been typed for the major MetSyn traits. We will then identify genes and co-expression networks related to clinical traits. Gene-by-diet interactions are critically important in MetSyn, but they are notoriously difficult to study directly in human populations. We will use our mouse diversity panel to examine differences in biologic networks and clinical traits in mice maintained on either a chow diet or a high fat diet for 8 weeks. This will allow us to map genes controlled dietary responsiveness of MetSyn traits and to medol to co-expression networks perturbed by these genes. The mouse and human data will be integrated and aspects relevant to this program validated in collaborative studies with other Projects and the Cores.

Public Health Relevance

MetSyn is a primary cause of cardiovascular disease and diabetes. Our integrative genetics approach provides a means of understanding the biologic networks that underlie the complex interactions in MetSyn traits. One particularly important interaction is that between genetics and diet, and this will be addressed using our mouse diversity panel. The results will be relevant to disease prevention, diagnosis, and treatment.

National Institute of Health (NIH)
National Heart, Lung, and Blood Institute (NHLBI)
Research Program Projects (P01)
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Heart, Lung, and Blood Initial Review Group (HLBP)
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University of California Los Angeles
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Singh, Rajan; Parveen, Meher; Basgen, John M et al. (2016) Increased Expression of Beige/Brown Adipose Markers from Host and Breast Cancer Cells Influence Xenograft Formation in Mice. Mol Cancer Res 14:78-92
Sul, Jae Hoon; Bilow, Michael; Yang, Wen-Yun et al. (2016) Accounting for Population Structure in Gene-by-Environment Interactions in Genome-Wide Association Studies Using Mixed Models. PLoS Genet 12:e1005849
Baldán, Ángel; de Aguiar Vallim, Thomas Q (2016) miRNAs and High-Density Lipoprotein metabolism. Biochim Biophys Acta 1861:2053-2061
Agrawal, Rahul; Noble, Emily; Vergnes, Laurent et al. (2016) Dietary fructose aggravates the pathobiology of traumatic brain injury by influencing energy homeostasis and plasticity. J Cereb Blood Flow Metab 36:941-53
Kang, Eun Yong; Martin, Lisa; Mangul, Serghei et al. (2016) Discovering SNPs Regulating Human Gene Expression Using Allele Specific Expression from RNA-Seq Data. Genetics :
Gusev, Alexander; Ko, Arthur; Shi, Huwenbo et al. (2016) Integrative approaches for large-scale transcriptome-wide association studies. Nat Genet 48:245-52
Kang, Eun Yong; Park, Yurang; Li, Xiao et al. (2016) ForestPMPlot: A Flexible Tool for Visualizing Heterogeneity Between Studies in Meta-analysis. G3 (Bethesda) 6:1793-8
Joo, Jong Wha J; Kang, Eun Yong; Org, Elin et al. (2016) Efficient and Accurate Multiple-Phenotype Regression Method for High Dimensional Data Considering Population Structure. Genetics 204:1379-1390
Ribas, Vicent; Drew, Brian G; Zhou, Zhenqi et al. (2016) Skeletal muscle action of estrogen receptor α is critical for the maintenance of mitochondrial function and metabolic homeostasis in females. Sci Transl Med 8:334ra54
Salehi, Pezhman; Myint, Anthony; Kim, Young J et al. (2016) Genome-Wide Association Analysis Identifies Dcc as an Essential Factor in the Innervation of the Peripheral Vestibular System in Inbred Mice. J Assoc Res Otolaryngol 17:417-31

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